ANN-route-predition/experiments/Experiments.ipynb
Philipp Horstenkamp fe33b58a8c Works Quit fine
2022-07-21 02:07:35 +02:00

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{
"cells": [
{
"cell_type": "markdown",
"metadata": {
"pycharm": {
"name": "#%% md\n"
}
},
"source": [
"# Initialschätzung von Kurswechselpositionen eines Segelboots auf einer Karte anhang con Wind, Start und Zielpunkt\n",
"\n",
"## Motivation\n",
"\n",
"Ziel dieser Semester abschließenden schriftlichen Ausarbeitung im Fach \"Maschine Learning\" an der Fachhochschule Südwestfalen ist das Generieren einer Heatmap von Kurswechselpositionen eines Segelbootes zu einer Karte abhängig von Wind und der Zielpostion. Dies soll das Finden einer guten Route vereinfachen, indem die Qualität einer ersten Route, die danach über ein Quotientenabstiegsverfahren optimiert werden soll verbessern. Da ein solches Quotientenabstiegsverfahren sehr gerne in einem Lokalen minimum festhängt, müssen mehrere routen gefunden und optimiert werden. Hier soll untersucht werden, ob dies durch eine Ersteinschätzung der Lage durch KI verbessert werden kann.\n",
"\n",
"Eingesetzt werden soll die so erstellte KI in dem Segelroboter des [Sailing Team Darmstadt e.V.](https://www.st-darmstadt.de/) Einer Hochschulgruppe an der TU-Darmstadt welche den [\"roBOOTer\"](https://www.st-darmstadt.de/ueber-uns/boote/prototyp-ii/) ein vollautonomes Segelboot welches eines Tages den Atlantik überqueren soll. [Eine technische Herausforderung welche zuerst von einem norwegischen Team erfolgreich abgeschlossen wurde](https://www.microtransat.org/)."
]
},
{
"cell_type": "markdown",
"metadata": {
"pycharm": {
"name": "#%% md\n"
}
},
"source": [
"## Inhaltsverzeichnis\n",
"\n",
"1. Einleitung\n",
"\n",
" 1.1. Situation\n",
" \n",
" 1.2. Vorgehen zur unterstützenden KI\n",
" 1.2.1. Eingaben und Ausgeben\n",
"2. Vorbereitungen\n",
"\n",
" 2.1. Imports\n",
" \n",
" 2.2. Parameter und Settings\n",
" \n",
"3. Szenarien und Routen Generieren\n",
"\n",
" 3.1. Generieren von Karten\n",
" 3.2.1 Paremter zum Generieren der Karte\n",
" \n",
" 3.2. Generieren des Zieles\n",
" \n",
" 3.3. Das Normieren eines Scenarios\n",
" \n",
" 3.4. Massengenerierung von Scenarios\n",
" \n",
" 3.5. Daten Zusammenfassen\n",
"\n",
"4. Sencarios Filtern\n",
"\n",
" 4.1. Die Route verlässt die Karte\n",
" \n",
" 4.2. Routen auf Fehler überprüfen\n",
" \n",
" 4.3. Filter der Routen nach Kosten\n",
" \n",
" 4.4. Filter der Routen nach Komplexität\n",
" \n",
"5. Das konvertieren in trainierbare Daten\n",
"\n",
"6. Das KI Model erstellen\n",
" \n",
" 6.1. Der Generator\n",
" \n",
" \n",
"\n",
"7. Training\n",
"\n",
"8. Analyse der KI\n",
"\n",
"9. Ausblick\n",
" \n",
"10. Literaturverzeichnis"
]
},
{
"cell_type": "markdown",
"metadata": {
"pycharm": {
"name": "#%% md\n"
}
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"source": [
"## Einleitung\n",
"\n",
"### Situation\n",
"\n",
"Eine Routenplanung für ein Segelboot hat ein Problem, welches man sonst so eher nicht kennt. Eine relativ freie Fläche auf der Sich das Schiff bewegen kann. Dies verändert die Wegfindung wie man sie von der Straße kennt fundamental.\n",
"\n",
"Navigiert man auf Straßen, hat man zumindest nach einer ersten abstraction relativ wenige Freiheitsgrade für den Weg.\n",
"Die Richtung kann nur an Kreuzungen gewechselt werden und dort nur in Richtungen in die es Straßen gibt. Beim Segeln auf dem freien Meer ist jeder Ort ein potenzieller Wendepunkt von dem aus Potenziell in jede Richtung gesegelt werden kann.\n",
"\n",
"Dennoch ist es oft auch ohne Hindernisse zwischen Boot und Ziel oft nicht möglich das Ziel direkt anzufahren das sich die Maximalgeschwindigkeiten relativ zur Windrichtung verändern.\n",
"Das folgende Diagramm zeigt die Segelgeschwindigkeiten an einem Katamaran.\n",
"\n",
"<img src=\"https://www.researchgate.net/profile/Hoyun-Jang-2/publication/320062151/figure/fig2/AS:667648312483865@1536191170832/Polar-diagram-of-yacht-speed-according-to-diverse-wind-direction-and-speed.ppm\" alt=\"Ship speeds relativ to the wind\" style=\"width: 400px;\"/>\n",
"\n",
"Da der roBOOTer anders als an Katamaran nicht auf Geschwindigkeit, sondern auf mechanische Belastbarkeit ausgelegt wurde hat der Fahrtwind einen geringeren einfluss auf das Fahrtverhalten des Segelboots dies und eine andere Maximalgeschwindigkeit sorgen für ein etwas anderes Fahrverhalten. Die ungefähre Form der Kurven trifft aber auch auf den roBOOTer zu. Man kann deutlich erkennen das auch, wenn man nicht direkt gegen den Wind fahren kann man schräg gegen den wind immer noch erstaunlich schnell ist.\n",
"\n",
"Das aktuelle Verfahren zum Finden einer Route läuft folgendermaßen ab:\n",
"\n",
"Eine direkte Route wird berechnet. Die Route wird an jedem Hindernisse geteilt und rechts und links um jedes hindernis herum gelegt. Bei folgenden hindernissen werden die Routen wieder geteilt somit erhält man $2^n$ Vorschläge für Routen, wobei $n$ die Anzahl der Hindernisse auf der Route ist. Jeder Abschnitt der Route wird noch einmal zerteilt, um der Route mehr Flexibilität zu geben.\n",
"\n",
"Die Routen werden dann simuliert, um die Kosten der Route zu berechnen. Die so simulierte Route wird danach über die Kosten in einem Gradientenabstiegsverfahren optimiert.\n",
"\n",
"Das ganze oben beschriebene Verfahren ist relativ schnell sehr rechenaufwendig und findet nicht immer ein Ergebnis. Wird kein Ergebnis gefunden wird eine mehr oder weniger zufällige Route optimiert.\n",
"\n",
"Diese Ausarbeitung soll wenigstens bei der alternativen Routenfindung helfen. Im idealfall kann es aber auch genutzt werden, um die auswahl der Routen um Hindernisse frühzeitig zu reduzieren und den Rechenaufwand unter $2^n$ zu senken wobei $n$ die Anzahl von Hindernissen auf der Route ist.\n",
"\n",
"### Vorgehen zur unterstützenden KI\n",
"\n",
"#### Eingaben und Ausgeben\n",
"\n",
"Die Algorithm zur Wegfindung vom Sailing Team Darmstadt e.V. arbeiten intern mit Polygonen als Hindernissen. Diese werden durch die Shapely Bibliothek implementiert. Da eine variable Anzahl an Polygonen mit einer variablen Form und Position eine Relative komplexer Input muss dieser in eine normierte Form gebracht werden. Ein binärfärbens Bild ist dafür die einfachste Form.\n",
"\n",
"Für den Computer spielen sowohl Zentrierung, Skalierung und Ausrichtung der Karte keine Rolle.\n",
"Wir rotieren also die Karte immer so das der Wind von *Norden* kommt und das Boot / die Startposition in der *Mitte* der Karte liegt. Da distanz Liner ist, wird davon ausgegangen das Scenario einfach skaliert passend skaliert werden kann.\n",
"\n",
"Die nächste eingabe ist die Zielposition relativ zum Startpunkt. Diese kann entweder durch ein einzelnes Pixel in einem zweiten Farbkanal oder aber in abstrakterer Form an die KI übergeben werden.\n",
"\n",
"Als ausgabe wird eine Heatmap erwartet. Zwei alternative Heatmaps sind relative einfach denkbar.\n",
"\n",
"1. Eine Headmap der Kurswechselpositionen\n",
"2. Eine Headmap des Kursverlaufes\n",
"\n",
"Headmaps sind in gewisser Weise Bilder. Das Problem wird daher wie ein Bild zu Bild KI Problem betrachtet. Diese werden normalerweise durch ANNs gelöst.\n",
"\n",
"Um eine ANN zu trenntieren gibt es immer die Wahl zwischen drei Primären prinzipien. Dem unüberwachten Lernen, dem reinforcement Learning und dem überwachten Lernen. Letzteres ist dabei meist am einfachsten wenn auch nicht immer möglich.\n",
"\n",
"Der Wegfindealgorithmus des Sailing Team Darmstadt e.V. ist zwar noch in der Entwicklung, funktioniert aber hinreichend gut, um auf einem normalen PC Scenarios mit Routen zu paaren oder auch diese zu *labeln*, um beim KI lingo zu bleiben. Um anpassungsfähig an andere Scenarios zu sein wird eine große Menge unterschiedlicher Scenarios und Routen benötigt.\n",
"Da das Haupteinsatzgebiet das Meer ist gehen wir von einer Insellandschaft oder Küstenlandschaft aus.\n",
"\n",
"Zum Finden von Scenarios gibt es zwei Möglichkeiten.\n",
"\n",
"1. Das Auswählen von umgebungen von der Weltkarte und das Bestimmen eines Zielpunktes.\n",
"2. Das Generieren von künstlichen Scenarios.\n",
" \n",
"Hier wird die Annahme getroffen das sich ANNs von einem Datensatz auf dem anderen Übertragen lassen.\n",
"Der Aufwand für künstliche Scenarios wird hierbei als geringer eingestuft und daher gewählt."
]
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"cell_type": "markdown",
"metadata": {
"pycharm": {
"name": "#%% md\n"
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"source": [
"## Vorbereitungen\n",
"\n",
"Folgende Python Bibliotheken werden verwendet:\n",
"\n",
"1. `tensorflow`\\\n",
" Die `tensorflow` Bibliothek ist das Werkzeug welches verwendet wurde, um neuronale Netz zu modellieren, zu trainieren, zu analysieren und auszuführen. Tensorflow wird mit den kürzel `tf` abgekürzt.\n",
"\n",
"2. `pyrate`\\\n",
" Die `Pyrate` Bibliothek ist Teil des ROS Operating Systems, welches den roBOOTer betreibt. Kann Routen zu Scenarios finden.\n",
"\n",
"3. `Shapley`\\\n",
" Die `shapley` Bibliothek wird genutzt, um geometrische Körper zu generieren, zu mergen und an den Roboter zum Labeln weiterzugeben.\n",
"\n",
"4. `pandas`\\\n",
" Die `pandas` Bibliothek verwaltet, speichert und analysiert daten. `pandas` wird üblicherweise mit `pd` abgekürzt.\n",
"\n",
"5. `numpy`\\\n",
" Eine Bibliothek um Mathematische operations an multidimensionalen Arrays auszuführen. `numpy`wir üblicherweise mit `np` abgekürzt.\n",
"\n",
"6. `matplotlib`\\\n",
" Wird genutzt um Diagramme zu plotted. Das modul `pyplot` wird hier vermehrt genutzt und mit dem kürzel `plt` abgekürzt.\n",
"\n",
"6. `PIL`\\\n",
" Eine Library um Bilder manuell zu zeichnen.\n",
"\n",
"7. `humanize`\\\n",
" Konvertiert Zahlen, Daten und Zeitabstände in ein für menschen einfach leserliches Format.\n",
"\n",
"8. `tqdm`\\\n",
" Fügt einen Fortschrittsbalken zu vielen Problemen hinzu.\n",
"\n",
"9. `black`\\\n",
" Der `black` code Formatier wurde genutzt um den Code in diesem Notebook zu Formatieren."
]
},
{
"cell_type": "markdown",
"metadata": {
"pycharm": {
"name": "#%% md\n"
}
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"source": [
"#### Imports\n",
"Importiert die Imports the necessary packages from python and pypi."
]
},
{
"cell_type": "code",
"execution_count": 1,
"metadata": {
"pycharm": {
"name": "#%%\n"
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"outputs": [],
"source": [
"import sys\n",
"\n",
"# Pins the python version executing the Jupyter Notebook\n",
"assert sys.version_info.major == 3\n",
"assert sys.version_info.minor == 10\n",
"\n",
"import os\n",
"from typing import Optional, Final, Literal\n",
"import glob\n",
"import pickle\n",
"\n",
"from tqdm.notebook import tqdm\n",
"import matplotlib.pyplot as plt\n",
"import numpy as np\n",
"import pandas as pd\n",
"from PIL import ImageDraw, Image\n",
"from shapely.geometry import Polygon, Point, LineString\n",
"from shapely.ops import unary_union\n",
"# os.environ[\"CUDA_VISIBLE_DEVICES\"] = \"-1\" \n",
"import tensorflow as tf\n",
"import humanize"
]
},
{
"cell_type": "markdown",
"metadata": {
"pycharm": {
"name": "#%% md\n"
}
},
"source": [
"Definiert den Pfad an dem das Jupyter Notebook ausgeführt werden soll.\n",
"Importiert die pyrate module. Wird nur ausgeführt, wenn innerhalb des Pyrate Containers ausgeführt."
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {
"pycharm": {
"name": "#%%\n"
}
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"C:\\Users\\phorstenkamp\\PycharmProjects\\ml-programmierproject\n"
]
}
],
"source": [
"# Import route generation if started in the docker container\n",
"if os.getenv(\"PYRATE\"):\n",
" %cd /pyrate/\n",
" import experiments\n",
" from pyrate.plan.nearplanner.timing_frame import TimingFrame\n",
"\n",
"# Protection against multi execution\n",
"if not os.path.exists(\"experiments\"):\n",
" %cd ../"
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {
"pycharm": {
"name": "#%%\n"
}
},
"outputs": [],
"source": [
"if os.getenv(\"PYRATE\"):\n",
" # Sets the maximum number of optimization steps that can be performed to find a route.\n",
" # Significantly lowered for more speed.\n",
" experiments.optimization_param.n_iter_grad = 50\n",
"\n",
" # Disables verbose outputs from the pyrate library.\n",
" experiments.optimization_param.verbose = False"
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {
"pycharm": {
"name": "#%%\n"
}
},
"outputs": [],
"source": [
"# Activate pandas for tqdm\n",
"tqdm.pandas()"
]
},
{
"cell_type": "markdown",
"metadata": {
"pycharm": {
"name": "#%% md\n"
}
},
"source": [
"#### Parameter und Settings\n",
"\n",
"In der nachfolgenden Sektion werden verschiedene Parameter gesetzt. Zum Beispiel die Skala auf der Routen generiert werden, das äußere Limit für mögliche Ziele und die Minimaldiestanz von Zielen zum Startpunkt."
]
},
{
"cell_type": "code",
"execution_count": 5,
"metadata": {
"pycharm": {
"name": "#%%\n"
}
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"outputs": [],
"source": [
"# The scale the route should lie in. Only a mathematical limit.\n",
"SIZE_ROUTE: Final[int] = 100\n",
"\n",
"# The outer limit in with the goal need to be placed.\n",
"# Should be smaller than\n",
"SIZE_INNER: Final[int] = 75\n",
"assert SIZE_ROUTE > SIZE_INNER, \"The goal should be well inside the limit placed \"\n",
"\n",
"# The minimum distance from the start that should\n",
"MIN_DESTINATION_DISTANCE: Final[int] = 25\n",
"assert (\n",
" SIZE_INNER > MIN_DESTINATION_DISTANCE\n",
"), \"The goal should be well closer to the outer limit the\"\n",
"\n",
"# The size the ANN input has. Equal to the image size. Should be an element of $n^2$ to be easier compatible with ANNs.\n",
"IMG_SIZE: Final[int] = 128\n",
"\n",
"# The size an image should be in to be easily visible by eye.\n",
"IMG_SHOW_SIZE: Final[int] = 400\n",
"\n",
"# The number of Files that should be read to train the ANNs\n",
"NUMBER_OF_FILES_LIMIT: Final[int] = 500\n",
"\n",
"#\n",
"NO_SHOW = False\n",
"GENERATE_NEW = True\n",
"\n",
"# The path of all the collected files\n",
"DATA_COLLECTION_PATH: Final[str] = \"data/collected.pickle\"\n",
" \n",
"# The \n",
"BATCH_SIZE: Final[int] = 32\n",
" \n",
"os.environ['TF_CPP_MIN_LOG_LEVEL'] = '3'"
]
},
{
"cell_type": "markdown",
"metadata": {
"pycharm": {
"name": "#%% md\n"
}
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"source": [
"## Szenarien und Routen Generieren\n",
"\n",
"Um das neuronale Netz zu trainieren werden Datensätze benötigt. Für die Abschätzung der Routen wird eine Karte mit Hindernissen und eine zugehörige Route benötigt. Hier wurde die Designentscheidung getroffen die Karten nicht auszuwählen, sondern zu generieren.\n",
"\n",
"### Generieren von Karten\n",
"\n",
"Eine Karte ist für das Sailing Team Darmstadt eine Mange von statischen und dynamischen Hindernissen. Statische Hindernisse sind Inseln, Landmassen und Untiefen und Fahrverbotszonen. Dynamische Hindernisse sind andere Teilnehmer am Schiffsverkehr und Wetterereignisse.\n",
"In dieser KI wird sich auf statische Hindernisse beschränkt. Daher ist eine Scenario eine Mange an Hindernispolygonen.\n",
"Um das Generieren der Polygone einfacher zu regeln und größere statistische Kontrolle über die den Generationsvorgang zu haben sind alle generierten Basispolygone als Abschnitte auf einem Umkreis definiert die Zufällig über die Karte verteilt werden.\n",
"\n",
"Ein einzelnes Polygon wird hier folgendermaßen generiert:\n",
"1. Die Anzahl der Kanten/Ecken wird festgelegt.\n",
"2. Ein lognormal verteilter Radius wird zufällig ausgewählt.\n",
"3. Auf dem Radius werden n winkel abgetragen.\n",
"4. Die Winkel werden sortiert damit sich das Polygon nicht selbst schneidend.\n",
"5. Die durch Radius und Winkel entstehenden Punkte werden in das kartesische Koordinatensystem umgewandelt.\n",
"6. Der zufällige Offset / Polygon mittelpunkt wird aufaddiert.\n",
"7. Aus den so generierten `np.ndarray` wird ein `shapely.geometry.Polygon` erstellt.\n",
"8. Polygonen die den Mittelpunkt berühren oder einschließen werden ersatzlos gelöscht.\n",
"\n",
"So wird eine festgelegte Anzahl von Polygonen generiert.\n",
"Setzt man vor dem Generieren des ersten Polygons eines Scenarios eine random seed über `np.random.seed` so erhält man zu jedem seed ein eindeutiges mange an Polygonen wenn auch alle anderen Parameter übereinstimmen. Diese Polygon-mange hat nun mit hoher Wahrscheinlichkeit überlappende Polygone. Dies ist für den Algorithmus des Sailing Teams Darmstadt e.V. ein Problem. Die Shapley Bibliothek besitzt eine Union function die Vereinigungsmengen von Polygonen bildet wenn möglich. So erhält man eine reduzierte mange an Polygonen. Diese kann später an einen Solver übergeben werden."
]
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{
"cell_type": "code",
"execution_count": 6,
"metadata": {
"pycharm": {
"name": "#%%\n"
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"outputs": [],
"source": [
"# https://stackoverflow.com/questions/16444719/python-numpy-complex-numbers-is-there-a-function-for-polar-to-rectangular-co\n",
"def polar_to_cartesian(\n",
" radii: np.ndarray,\n",
" perigons: np.ndarray,\n",
"):\n",
" \"\"\"Transforms polar coordinates into cartesian coordinates.\n",
"\n",
" Args:\n",
" radii: A array of radii.\n",
" perigons: A array of angles in perigons [0, 1[.\n",
"\n",
" Returns:\n",
" An array of cartesian coordinates.\n",
" \"\"\"\n",
" return radii * np.exp(2j * perigons * np.pi)"
]
},
{
"cell_type": "code",
"execution_count": 7,
"metadata": {
"pycharm": {
"name": "#%%\n"
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"outputs": [
{
"data": {
"image/svg+xml": [
"<svg xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\" width=\"100.0\" height=\"100.0\" viewBox=\"-16.37816427364242 53.572469871489815 6.660645097041407 6.473724419318636\" preserveAspectRatio=\"xMinYMin meet\"><g transform=\"matrix(1,0,0,-1,0,113.61866416229827)\"><path fill-rule=\"evenodd\" fill=\"#66cc99\" stroke=\"#555555\" stroke-width=\"0.13321290194082813\" opacity=\"0.6\" d=\"M -9.964209735750694,58.12346496725632 L -10.380908764033304,58.90225055101728 L -10.981914756343256,59.53091446131591 L -14.62510766338472,59.79950373165877 L -16.051330505870038,58.08054532765174 L -16.13147371449274,57.81979780226843 L -15.655931768323725,55.1495345171628 L -14.888014501362616,54.37062796397931 L -12.399620374135152,53.8191604306395 L -9.964209735750694,58.12346496725632 z\" /></g></svg>"
],
"text/plain": [
"<shapely.geometry.polygon.Polygon at 0x1a5bbe47790>"
]
},
"execution_count": 7,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"def random_polygon(\n",
" radius_mean: float = 2,\n",
" radius_sigma: float = 1.5,\n",
"):\n",
" \"\"\"Generates the simplest of polygons, a triangle with a size described by a random polygon.\n",
"\n",
" Args:\n",
" radius_mean: The average radius defining a circumcircle of a triangle.\n",
" radius_sigma: The variance of a radius defining a circumcircle of a triangle.\n",
"\n",
" Returns:\n",
" A single polygon.\n",
" \"\"\"\n",
" # define the number of corners\n",
" number_of_corners = np.random.randint(3, 10)\n",
"\n",
" # generate cartesian coordinates from a radius and a sorted list of perigons.\n",
" array = polar_to_cartesian(\n",
" np.random.lognormal(radius_mean, radius_sigma),\n",
" np.sort(np.random.rand(number_of_corners)),\n",
" )\n",
"\n",
" # add an offset\n",
" offset = np.random.randint(low=-SIZE_ROUTE, high=SIZE_ROUTE, size=(2,))\n",
" return_values = np.zeros((number_of_corners, 2), dtype=float)\n",
"\n",
" return_values[:] = offset\n",
" return_values[:, :] += np.array((np.real(array), np.imag(array))).T\n",
" return Polygon(return_values)\n",
"\n",
"\n",
"np.random.seed(42)\n",
"random_polygon()"
]
},
{
"cell_type": "markdown",
"metadata": {
"pycharm": {
"name": "#%% md\n"
}
},
"source": [
"### Parameter zum Generieren der Karte\n",
"\n",
"Die folgenden Parameter wurden für das Generieren von Karten genutzt:\n",
"* `radius_mean = 2` \n",
"* `radius_sigma = 1`\n",
"* `number_of_polygons = 40`"
]
},
{
"cell_type": "code",
"execution_count": 8,
"metadata": {
"pycharm": {
"name": "#%%\n"
}
},
"outputs": [],
"source": [
"def generate_obstacles(\n",
" seed: Optional[int] = None,\n",
" number_of_polygons: int = 40,\n",
" radius_mean: float = 2,\n",
" radius_sigma: float = 1,\n",
") -> dict[str, Polygon]:\n",
" \"\"\"Generates a set of obstacles from a union of triangles.\n",
"\n",
" The union of triangles meas that if polygons overlap o polygon containing the union of those polygons is returned.\n",
" Args:\n",
" seed: A seed to generate a set of obstacles from.\n",
" number_of_polygons: The number of polygons that should be drawn.\n",
" radius_mean: The average radius defining a circumcircle of an obstacle triangle.\n",
" radius_sigma: The variance of a radius defining a circumcircle of an obstacle triangle.\n",
"\n",
" Returns:\n",
" A list of unified obstacles.\n",
" \"\"\"\n",
" # sets a seed\n",
" if seed is not None:\n",
" np.random.seed(seed)\n",
"\n",
" # generate a list of polygons\n",
" polygons = []\n",
" for _ in range(number_of_polygons):\n",
" poly = random_polygon(radius_mean, radius_sigma)\n",
" # skip polygons that are to close to the start int point P(0, 0)\n",
" if poly.contains(Point(0, 0)):\n",
" continue\n",
" if poly.exterior.distance(Point(0, 0)) < 1:\n",
" continue\n",
" # append to polygon list\n",
" polygons.append(poly)\n",
"\n",
" # build unions of all polygons\n",
" polygon_list = list(unary_union(polygons).geoms)\n",
" return {str(i): p for i, p in enumerate(polygon_list)}"
]
},
{
"cell_type": "markdown",
"metadata": {
"pycharm": {
"name": "#%% md\n"
}
},
"source": [
"### Generieren des Zieles\n",
"\n",
"Zu jedem Scenario gehört neben einer Situation auch ein Ziel. Auch zum Generieren eines Ziels wurde zu erste der gleiche seed gesetzt wie für den Karten Generator. Danach wird eine zufällige Position mit Abstand zum Kartenrand ausgewählt.\n",
"Die so generierte Zielposition wird danach auf Plausibilität überprüft. Folgende Prüfungen finden statt:\n",
"1. Es wird sichergestellt dass, das Ziel nicht in oder an einem Hindernis liegt.\n",
"1. Eine Minimaldistanz in x und y wird sichergestellt. Leider ist hier ein Fehler passiert. Anstelle die Summe der absoluten Distanz zu prüfen wurden die Distanzen für X und Y separat geprüft was verhindert, das Ziele über, unter und neben dem Startpunkt gefunden werden können. Zielpunkte werden nur in den äußeren vier Quadranten gefundene. Bedauerlicherweise ist dies erst aufgefallen als schon zu viel Zeit vergangen war und die Daten nicht neu generiert werden konnten. Dies sollte aber zumindest das Konzept dieser KI nicht beeinflussen. Wohl aber ihre direkte anwendbarkeit."
]
},
{
"cell_type": "code",
"execution_count": 9,
"metadata": {
"pycharm": {
"name": "#%%\n"
}
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"POINT (-61 31)\n"
]
}
],
"source": [
"def generate_destination(\n",
" obstacles: dict[str, Polygon],\n",
" seed: Optional[int] = None,\n",
") -> Point:\n",
" \"\"\"Generates for a map.\n",
"\n",
" Can be used to generate a valid destination for list of obstacles.\n",
" Args:\n",
" obstacles: A list of obstacles.\n",
" seed: The seed determining the point.\n",
"\n",
" Returns:\n",
" A goal that should be reached by the ship.\n",
" \"\"\"\n",
" # sets the seed\n",
" if seed is not None:\n",
" np.random.seed(seed)\n",
"\n",
" # generates the point\n",
" point: Optional[Point] = None\n",
" while (\n",
" point is None\n",
" or abs(point.x) < MIN_DESTINATION_DISTANCE\n",
" or abs(point.y) < MIN_DESTINATION_DISTANCE\n",
" or any(obstacle.contains(point) for obstacle in obstacles.values())\n",
" ):\n",
" point = Point(np.random.randint(-SIZE_INNER, SIZE_INNER, size=(2,), dtype=int))\n",
" return point\n",
"\n",
"\n",
"print(generate_destination(generate_obstacles(42), 42))"
]
},
{
"cell_type": "markdown",
"metadata": {
"pycharm": {
"name": "#%% md\n"
}
},
"source": []
},
{
"cell_type": "code",
"execution_count": 10,
"metadata": {
"pycharm": {
"name": "#%%\n"
}
},
"outputs": [],
"source": [
"def plot_situation(\n",
" obstacles: dict[str, Polygon],\n",
" destination: Point,\n",
" obstacle_color: str | None = \"RED\",\n",
" route=None,\n",
" legend: bool = True,\n",
" title: str | None = None,\n",
") -> None:\n",
" \"\"\"PLots the obstacles into a matplotlib plot.\n",
"\n",
" Args:\n",
" obstacles: A list of obstacles.\n",
" destination: The destination that should be reached by the boat.\n",
" obstacle_color: The color the obstacles should have. Can be None.\n",
" If none all obstacles will have different colors.\n",
" route: The route that should be plotted.\n",
" legend: If true plots a legend.\n",
" title: The title of the plot.\n",
" Returns:\n",
" None\n",
" \"\"\"\n",
" # Create a plot in the defined size\n",
" plt.axis([-SIZE_ROUTE, SIZE_ROUTE, -SIZE_ROUTE, SIZE_ROUTE])\n",
"\n",
" # Sets a title if one is demanded\n",
" if title:\n",
" plt.title(title)\n",
"\n",
" # Plots the obstacles.\n",
" if obstacles:\n",
" for polygon in obstacles.values():\n",
" if obstacle_color is not None:\n",
" plt.fill(*polygon.exterior.xy, color=obstacle_color, label=\"Obstacle\")\n",
" else:\n",
" plt.fill(*polygon.exterior.xy)\n",
"\n",
" # Plots the wind direction\n",
" # The following code for an arrow was taken modeled after:\n",
" # https://www.geeksforgeeks.org/matplotlib-pyplot-arrow-in-python/\n",
" plt.arrow(\n",
" 0,\n",
" +int(SIZE_ROUTE * 0.9),\n",
" 0,\n",
" -int(SIZE_ROUTE * 0.1),\n",
" head_width=10,\n",
" width=4,\n",
" label=\"Wind (3Bft)\",\n",
" )\n",
"\n",
" if route is not None:\n",
" if isinstance(route, np.ndarray):\n",
" plt.plot(route[:, 0], route[:, 1], color=\"BLUE\", marker=\".\")\n",
" else:\n",
" if isinstance(route, TimingFrame):\n",
" plt.plot(\n",
" route.points[:, 0], route.points[:, 1], color=\"BLUE\", marker=\".\"\n",
" )\n",
" else:\n",
" raise TypeError()\n",
"\n",
" # Plots the estimation\n",
" if destination:\n",
" plt.scatter(*destination.xy, marker=\"X\", color=\"green\", label=\"Destination\")\n",
" plt.scatter(0, 0, marker=\"o\", color=\"green\", label=\"Start\")\n",
"\n",
" if legend:\n",
" # https://stackoverflow.com/questions/13588920/stop-matplotlib-repeating-labels-in-legend\n",
" handles, labels = plt.gca().get_legend_handles_labels()\n",
" by_label = dict(zip(labels, handles))\n",
" plt.legend(by_label.values(), by_label.keys())\n",
" return None"
]
},
{
"cell_type": "markdown",
"metadata": {
"pycharm": {
"name": "#%% md\n"
}
},
"source": [
"Die aus den Seeds 0 - 11 generierten Karten werden unten angezeigt um Beispiele der von der KI zu Lösenden Scenario zu zeigen.\n",
"Wird dieses Notebook im Pyrate Docker Container ausgeführt werden auch die Routen eingezeichnet."
]
},
{
"cell_type": "code",
"execution_count": 11,
"metadata": {
"pycharm": {
"name": "#%%\n"
}
},
"outputs": [
{
"data": {
"application/vnd.jupyter.widget-view+json": {
"model_id": "f7d2138f40624f98a3a2d8e735e1c3db",
"version_major": 2,
"version_minor": 0
},
"text/plain": [
" 0%| | 0/12 [00:00<?, ?it/s]"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
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\n",
"text/plain": [
"<Figure size 1260x1800 with 12 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"if not NO_SHOW:\n",
" # create a subplot with 12 routes.\n",
" plt.figure(figsize=(17.5, 25))\n",
" for seed in tqdm(range(12)):\n",
" plt.subplot(4, 3, seed + 1)\n",
" generated_obstacles = generate_obstacles(seed)\n",
" generated_destination = generate_destination(generated_obstacles, seed)\n",
" route_generated = None\n",
"\n",
" # try to generate a route\n",
" try:\n",
" route_generated, _ = experiments.generate_route(\n",
" position=Point(0, 0),\n",
" goal=generated_destination,\n",
" obstacles=generated_obstacles,\n",
" wind=(18, 180),\n",
" )\n",
" except Exception:\n",
" route_generated = None\n",
"\n",
" # plot the situation\n",
" plot_situation(\n",
" obstacles=generated_obstacles,\n",
" destination=generated_destination,\n",
" obstacle_color=\"RED\",\n",
" route=route_generated,\n",
" title=f\"Seed: {seed}, Cost: {route_generated.cost:.3f}\"\n",
" if route_generated\n",
" else f\"Seed: {seed}\",\n",
" legend=(seed == 0),\n",
" )\n",
" plt.show()"
]
},
{
"cell_type": "markdown",
"metadata": {
"pycharm": {
"name": "#%% md\n"
}
},
"source": [
"### Das Normieren der Scenarios\n",
"\n",
"Um für ein neuronales Netz Verständlich zu sein ist es immer einfacher, wenn ein Input normieren ist. Hier wurde sich entschieden die Scenarios, als Bilddaten zu normieren. 128 x 128 Pixel sind wesentlich gleichförmiger als eine Mange von maximal 40 Polygonen mit unterschiedlichen Formen. Daher verwandelt die folgende Funktion die mit den Oben definierten Funktionen genierten Scenarios Datensätze in eine Bildform. Rot ist dabei das Hindernis. Grün das Ziel und Blau die Route. Entweder als Linie oder als Punkt, wenn die Route sich ändert.\n",
"Für diesen code wurde sich am folgenden Beispiel orientiert. https://programtalk.com/python-examples/PIL.ImageDraw.Draw.polygon/"
]
},
{
"cell_type": "code",
"execution_count": 12,
"metadata": {
"pycharm": {
"name": "#%%\n"
}
},
"outputs": [],
"source": [
"def generate_image_from_map(\n",
" obstacles: dict[str, Polygon],\n",
" destination: Point,\n",
" route=None,\n",
" route_type: Literal[\"line\", \"dot\"] = \"dot\",\n",
") -> Image:\n",
" \"\"\"Generate an image from the map.\n",
"\n",
" Can be used to feed an ANN.\n",
" - Obstacles are marked as reed.\n",
" - The destination is marked as green.\n",
" - The points where the route will likely change are blue.\n",
"\n",
" Args:\n",
" obstacles: A dict of obstacles as shapely Polygons. Keyed as a string.\n",
" destination: A destination that should be navigated to.\n",
" route: The calculated route that should be followed.\n",
" route_type: How the route is drawn. If 'line' is selected the complete route is selected.\n",
" If 'dot' is selected the turning points a drawn in.\n",
" \"\"\"\n",
" # generate an empty image (All black)\n",
" img = Image.new(\n",
" \"RGB\",\n",
" (IMG_SIZE, IMG_SIZE),\n",
" \"#000000\",\n",
" )\n",
" draw = ImageDraw.Draw(img)\n",
"\n",
" # draw in all obstacles in red\n",
" for polygon in obstacles.values():\n",
" draw.polygon(\n",
" list(\n",
" (np.dstack(polygon.exterior.xy).reshape((-1)) + SIZE_ROUTE)\n",
" / (2 * SIZE_ROUTE)\n",
" * IMG_SIZE\n",
" ),\n",
" fill=\"#FF0000\",\n",
" outline=\"#FF0000\",\n",
" )\n",
"\n",
" # draw in a route if possible. Does so in blue\n",
" if os.getenv(\"PYRATE\"):\n",
" if isinstance(route, TimingFrame):\n",
" route = route.points\n",
" if route is not None:\n",
" route = ((route + SIZE_ROUTE) / (2 * SIZE_ROUTE) * IMG_SIZE).astype(int)\n",
" # draws the route as collection of lines\n",
" if route_type == \"line\":\n",
" draw.line([tuple(point) for point in route], fill=(0, 0, 0xFF))\n",
" # draw the route as a collection of points. The starting point is seen as redundant and left out.\n",
" elif route_type == \"dot\":\n",
" for point in route[1:]:\n",
" img.putpixel(point, (0, 0, 0xFF))\n",
" else:\n",
" raise ValueError(\"Route type unknown.\")\n",
" # draws in the destination in green\n",
" img.putpixel(\n",
" (\n",
" int((destination.x + SIZE_ROUTE) / (2 * SIZE_ROUTE) * IMG_SIZE),\n",
" int((destination.y + SIZE_ROUTE) / (2 * SIZE_ROUTE) * IMG_SIZE),\n",
" ),\n",
" (0, 0xFF, 0),\n",
" )\n",
" return img"
]
},
{
"cell_type": "code",
"execution_count": 13,
"metadata": {
"pycharm": {
"name": "#%%\n"
}
},
"outputs": [],
"source": [
"def generate_example_image(route_type: Literal[\"line\", \"dot\"]):\n",
" \"\"\"\n",
" Generates an example image with the seed 42.\n",
"\n",
" Args:\n",
" route_type: How the route is drawn. If 'line' is selected the complete route is selected.\n",
" If 'dot' is selected the turning points a drawn in.\n",
"\n",
" Returns:\n",
" The example image.\n",
" \"\"\"\n",
" # generate obstacles and a destination\n",
" obstacles = generate_obstacles(42)\n",
" destination = generate_destination(obstacles, 42)\n",
" # try to generate a route\n",
" try:\n",
" route, _ = experiments.generate_route(\n",
" position=Point(0, 0),\n",
" goal=destination,\n",
" obstacles=obstacles,\n",
" wind=(18, 180),\n",
" )\n",
" except Exception:\n",
" route = None\n",
"\n",
" # draw the scenario\n",
" return generate_image_from_map(\n",
" obstacles=obstacles,\n",
" destination=destination,\n",
" route=route,\n",
" route_type=route_type,\n",
" )"
]
},
{
"cell_type": "markdown",
"metadata": {
"pycharm": {
"name": "#%% md\n"
}
},
"source": [
"Nachfolgend werden zwei solcher Scenarios Bilder gezeigt. Zuerst aber wird zum Vergleich das Scenario mit dem Seed 42 als Karte dargestellt, um den Unterschied zu zeigen."
]
},
{
"cell_type": "code",
"execution_count": 14,
"metadata": {
"pycharm": {
"name": "#%%\n"
}
},
"outputs": [
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 576x576 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"if not NO_SHOW:\n",
" # set the default seed of 42\n",
" seed: int = 42\n",
" # create a figure\n",
" plt.figure(figsize=(8, 8))\n",
" wind_dir = 180\n",
" # generate obstacles and a destination\n",
" generated_obstacles = generate_obstacles(seed)\n",
" generated_destination = generate_destination(generated_obstacles, seed)\n",
" route_generated = None\n",
" # try generating a route\n",
" try:\n",
" route_generated, _ = experiments.generate_route(\n",
" position=Point(0, 0),\n",
" goal=generated_destination,\n",
" obstacles=generated_obstacles,\n",
" wind=(18, wind_dir),\n",
" )\n",
" except Exception as e:\n",
" route_generated = None\n",
" # plotting the situation\n",
" plot_situation(\n",
" obstacles=generated_obstacles,\n",
" destination=generated_destination,\n",
" obstacle_color=\"RED\",\n",
" route=route_generated,\n",
" title=f\"Seed: {seed}, Cost: {route_generated.cost:.3f}\"\n",
" if route_generated\n",
" else f\"Seed: {seed}\",\n",
" legend=seed == 0,\n",
" )\n",
" plt.show()"
]
},
{
"cell_type": "markdown",
"metadata": {
"pycharm": {
"name": "#%% md\n"
}
},
"source": [
"Zeigt das Scenario mit dem Seed 42 mit eingezeichneten Wendepunkten, wenn dieses Notebook im Pyrate Docker Container ausgeführt wurde. Wichtig zu beachten ist in dieser Darstellung die Drehung des Vorzeichens der Y Achse was zu einer Horizontalen Spiegelung der Darstellung führt."
]
},
{
"cell_type": "code",
"execution_count": 15,
"metadata": {
"pycharm": {
"name": "#%%\n"
}
},
"outputs": [
{
"data": {
"image/png": 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\n",
"text/plain": [
"<PIL.Image.Image image mode=RGB size=400x400>"
]
},
"execution_count": 15,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"generate_example_image(route_type=\"dot\").resize(\n",
" (IMG_SHOW_SIZE, IMG_SHOW_SIZE), Image.Resampling.BICUBIC\n",
")"
]
},
{
"cell_type": "markdown",
"metadata": {
"pycharm": {
"name": "#%% md\n"
}
},
"source": [
"Zeigt das Scenario mit dem Seed 42 mit eingezeichneten Wendepunkten, wenn dieses Notebook im Pyrate Docker Container ausgeführt wurde."
]
},
{
"cell_type": "code",
"execution_count": 16,
"metadata": {
"pycharm": {
"name": "#%%\n"
}
},
"outputs": [
{
"data": {
"image/png": 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\n",
"text/plain": [
"<PIL.Image.Image image mode=RGB size=400x400>"
]
},
"execution_count": 16,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"generate_example_image(route_type=\"line\").resize(\n",
" (IMG_SHOW_SIZE, IMG_SHOW_SIZE), Image.Resampling.BICUBIC\n",
")"
]
},
{
"cell_type": "markdown",
"metadata": {
"pycharm": {
"name": "#%% md\n"
}
},
"source": [
"### Massengenerierung von Daten\n",
"\n",
"Die oben definierten Funktionen generieren immer einen Datensatz.\n",
"Die folgenden Funktionen definieren einen einzelnen Datensatz als `pd.Series` einer einzelnen Zeile in einem `pd.DataFrame`. Die so erzeugten Datensatze werden in `pd.DataFrames` zusammengefasst. Hier wurde eine Anzahl von 50 Datensätzen auf einmal gewählt. Diese werden dann gespeichert, um danach mehr Daten zu generieren. Da der Wegfindealgorithmus immer noch experimentell ist, werden Wege die nicht gefunden worden oder bei deren finden ein Fehler auftritt werden mit `NaN` gefüllt."
]
},
{
"cell_type": "code",
"execution_count": 17,
"metadata": {
"pycharm": {
"name": "#%%\n"
}
},
"outputs": [],
"source": [
"def generate_all_to_series(\n",
" seed: Optional[int] = None, image: bool = False\n",
") -> pd.Series:\n",
" \"\"\"Generates everything and aggregates all data into a `pd:Series`.\n",
"\n",
" Args:\n",
" seed:The seed that should be used to generate map and destination.\n",
" image: If an image should be generated or if that should be postponed to save memory.\n",
" Returns:\n",
" Contains a `pd.Series`containing the following.\n",
" - The seed tha generated the map.\n",
" - The destination in x\n",
" - The destination in y\n",
" - A list of Obstacle polygons.\n",
" - The route generated for this map by the roBOOTer navigation system.\n",
" - Optionally the image containing all the information.\n",
" Can be generated at a later date without the fear for a loss of accuracy.\n",
" \"\"\"\n",
" # generate obstacles\n",
" obstacles = generate_obstacles(seed)\n",
" # find a destination\n",
" destination = generate_destination(obstacles, seed)\n",
"\n",
" # find a possible route\n",
" try:\n",
" route, _ = experiments.generate_route(\n",
" position=Point(0, 0),\n",
" goal=destination,\n",
" obstacles=obstacles,\n",
" wind=(18, wind_dir),\n",
" )\n",
" except Exception:\n",
" route = None\n",
"\n",
" # collect all generated data in a `pd.Series`\n",
" return pd.Series(\n",
" data={\n",
" \"seed\": str(seed),\n",
" \"obstacles\": obstacles,\n",
" \"destination_x\": destination.x,\n",
" \"destination_y\": destination.y,\n",
" \"image\": generate_image_from_map(obstacles, destination, route)\n",
" if image\n",
" else pd.NA,\n",
" \"route\": route.points if route else pd.NA,\n",
" \"cost\": route.cost if route else pd.NA,\n",
" },\n",
" name=str(seed),\n",
" )"
]
},
{
"cell_type": "markdown",
"metadata": {
"pycharm": {
"name": "#%% md\n"
}
},
"source": [
"Nachfolgend wird ein kurzes Beispiel eines solchen `pd.DataFrame` angezeigt."
]
},
{
"cell_type": "code",
"execution_count": 18,
"metadata": {
"pycharm": {
"name": "#%%\n"
}
},
"outputs": [
{
"data": {
"application/vnd.jupyter.widget-view+json": {
"model_id": "a213b11143904833af23d70963e1ae17",
"version_major": 2,
"version_minor": 0
},
"text/plain": [
" 0%| | 0/12 [00:00<?, ?it/s]"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"text/html": [
"<div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
" vertical-align: middle;\n",
" }\n",
"\n",
" .dataframe tbody tr th {\n",
" vertical-align: top;\n",
" }\n",
"\n",
" .dataframe thead th {\n",
" text-align: right;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>obstacles</th>\n",
" <th>destination_x</th>\n",
" <th>destination_y</th>\n",
" <th>image</th>\n",
" <th>route</th>\n",
" <th>cost</th>\n",
" </tr>\n",
" <tr>\n",
" <th>seed</th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>{'0': POLYGON ((-17.62168766659423 -98.3692662...</td>\n",
" <td>-66.0</td>\n",
" <td>-54.0</td>\n",
" <td>&lt;NA&gt;</td>\n",
" <td>&lt;NA&gt;</td>\n",
" <td>&lt;NA&gt;</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>{'0': POLYGON ((-97.82715137072381 -82.2211677...</td>\n",
" <td>-38.0</td>\n",
" <td>65.0</td>\n",
" <td>&lt;NA&gt;</td>\n",
" <td>&lt;NA&gt;</td>\n",
" <td>&lt;NA&gt;</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>{'0': POLYGON ((-46.23706006792075 -76.7569948...</td>\n",
" <td>73.0</td>\n",
" <td>49.0</td>\n",
" <td>&lt;NA&gt;</td>\n",
" <td>&lt;NA&gt;</td>\n",
" <td>&lt;NA&gt;</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>{'0': POLYGON ((-7.4210414351932155 -83.111096...</td>\n",
" <td>31.0</td>\n",
" <td>56.0</td>\n",
" <td>&lt;NA&gt;</td>\n",
" <td>&lt;NA&gt;</td>\n",
" <td>&lt;NA&gt;</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>{'0': POLYGON ((-77.97638439917915 -70.2390972...</td>\n",
" <td>47.0</td>\n",
" <td>54.0</td>\n",
" <td>&lt;NA&gt;</td>\n",
" <td>&lt;NA&gt;</td>\n",
" <td>&lt;NA&gt;</td>\n",
" </tr>\n",
" <tr>\n",
" <th>5</th>\n",
" <td>{'0': POLYGON ((-71.45682729091783 -138.627922...</td>\n",
" <td>-67.0</td>\n",
" <td>37.0</td>\n",
" <td>&lt;NA&gt;</td>\n",
" <td>&lt;NA&gt;</td>\n",
" <td>&lt;NA&gt;</td>\n",
" </tr>\n",
" <tr>\n",
" <th>6</th>\n",
" <td>{'0': POLYGON ((-76.20025009472265 -92.9434076...</td>\n",
" <td>-67.0</td>\n",
" <td>55.0</td>\n",
" <td>&lt;NA&gt;</td>\n",
" <td>&lt;NA&gt;</td>\n",
" <td>&lt;NA&gt;</td>\n",
" </tr>\n",
" <tr>\n",
" <th>7</th>\n",
" <td>{'0': POLYGON ((10.806865516434499 -102.670968...</td>\n",
" <td>67.0</td>\n",
" <td>-52.0</td>\n",
" <td>&lt;NA&gt;</td>\n",
" <td>&lt;NA&gt;</td>\n",
" <td>&lt;NA&gt;</td>\n",
" </tr>\n",
" <tr>\n",
" <th>8</th>\n",
" <td>{'0': POLYGON ((-38.740101054728726 -89.986420...</td>\n",
" <td>58.0</td>\n",
" <td>61.0</td>\n",
" <td>&lt;NA&gt;</td>\n",
" <td>&lt;NA&gt;</td>\n",
" <td>&lt;NA&gt;</td>\n",
" </tr>\n",
" <tr>\n",
" <th>9</th>\n",
" <td>{'0': POLYGON ((-28.332925461055822 -73.516031...</td>\n",
" <td>45.0</td>\n",
" <td>-63.0</td>\n",
" <td>&lt;NA&gt;</td>\n",
" <td>&lt;NA&gt;</td>\n",
" <td>&lt;NA&gt;</td>\n",
" </tr>\n",
" <tr>\n",
" <th>10</th>\n",
" <td>{'0': POLYGON ((-42.90670292182745 -82.5864109...</td>\n",
" <td>38.0</td>\n",
" <td>48.0</td>\n",
" <td>&lt;NA&gt;</td>\n",
" <td>&lt;NA&gt;</td>\n",
" <td>&lt;NA&gt;</td>\n",
" </tr>\n",
" <tr>\n",
" <th>11</th>\n",
" <td>{'0': POLYGON ((-124.01583316741481 -73.449792...</td>\n",
" <td>-48.0</td>\n",
" <td>-31.0</td>\n",
" <td>&lt;NA&gt;</td>\n",
" <td>&lt;NA&gt;</td>\n",
" <td>&lt;NA&gt;</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" obstacles destination_x \\\n",
"seed \n",
"0 {'0': POLYGON ((-17.62168766659423 -98.3692662... -66.0 \n",
"1 {'0': POLYGON ((-97.82715137072381 -82.2211677... -38.0 \n",
"2 {'0': POLYGON ((-46.23706006792075 -76.7569948... 73.0 \n",
"3 {'0': POLYGON ((-7.4210414351932155 -83.111096... 31.0 \n",
"4 {'0': POLYGON ((-77.97638439917915 -70.2390972... 47.0 \n",
"5 {'0': POLYGON ((-71.45682729091783 -138.627922... -67.0 \n",
"6 {'0': POLYGON ((-76.20025009472265 -92.9434076... -67.0 \n",
"7 {'0': POLYGON ((10.806865516434499 -102.670968... 67.0 \n",
"8 {'0': POLYGON ((-38.740101054728726 -89.986420... 58.0 \n",
"9 {'0': POLYGON ((-28.332925461055822 -73.516031... 45.0 \n",
"10 {'0': POLYGON ((-42.90670292182745 -82.5864109... 38.0 \n",
"11 {'0': POLYGON ((-124.01583316741481 -73.449792... -48.0 \n",
"\n",
" destination_y image route cost \n",
"seed \n",
"0 -54.0 <NA> <NA> <NA> \n",
"1 65.0 <NA> <NA> <NA> \n",
"2 49.0 <NA> <NA> <NA> \n",
"3 56.0 <NA> <NA> <NA> \n",
"4 54.0 <NA> <NA> <NA> \n",
"5 37.0 <NA> <NA> <NA> \n",
"6 55.0 <NA> <NA> <NA> \n",
"7 -52.0 <NA> <NA> <NA> \n",
"8 61.0 <NA> <NA> <NA> \n",
"9 -63.0 <NA> <NA> <NA> \n",
"10 48.0 <NA> <NA> <NA> \n",
"11 -31.0 <NA> <NA> <NA> "
]
},
"execution_count": 18,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"if not NO_SHOW:\n",
" df = pd.DataFrame(\n",
" [generate_all_to_series(i, image=False) for i in tqdm(range(12))]\n",
" ).set_index(\"seed\")\n",
" df.to_pickle(\"test.pickle\")\n",
"if os.path.exists(\"test.pickle\"):\n",
" df = pd.read_pickle(\"test.pickle\")\n",
"else:\n",
" df = None\n",
" print(\"No data generated or cached!\")\n",
"df"
]
},
{
"cell_type": "markdown",
"metadata": {
"pycharm": {
"name": "#%% md\n"
}
},
"source": [
"\n"
]
},
{
"cell_type": "markdown",
"metadata": {
"pycharm": {
"name": "#%% md\n"
}
},
"source": [
"Die folgende Zelle ist Verantwortlich für das massenweise Generieren von Trainingsdaten. Sie kann entweder so eingestellt werden das nur eine einzige Batch aus 50 neuen Datensätzen generiert werden soll oder eine ganze Reihe von Batches. Sind nicht alle anforderungen zun Ausführen der Zelle erfüllt, wird sie automatische übersprungen."
]
},
{
"cell_type": "code",
"execution_count": 19,
"metadata": {
"pycharm": {
"name": "#%%\n"
}
},
"outputs": [],
"source": [
"# Skips the following cell if the code can't be executed.\n",
"if os.getenv(\"PYRATE\"):\n",
" save_frequency = int(os.getenv(\"save_frequency\", \"50\"))\n",
" start_seed = int(os.getenv(\"seed_start\", \"0\"))\n",
" continues = bool(os.getenv(\"continues\", \"false\"))\n",
"\n",
" # try finding a block of seeds that is not used\n",
" files = glob.glob(\"data/*.pickle\")\n",
" seed_groups = {int(file[9:-7]) for file in files}\n",
" for next_seeds in range(start_seed, 1_000_000, save_frequency):\n",
" # skip if the seed block already exists or is generated by another instance if this notebook\n",
" if next_seeds in seed_groups:\n",
" continue\n",
"\n",
" # start generating routes for the seed block\n",
" print(f\"Start generating routes for seed: {next_seeds}\")\n",
"\n",
" # reserving the seed block by looking down the seed block with an empty file\n",
" tmp_pickle_str: str = f\"data/tmp_{next_seeds:010}.pickle\"\n",
" pd.DataFrame().to_pickle(tmp_pickle_str)\n",
"\n",
" # generate the data\n",
" df = pd.DataFrame(\n",
" [\n",
" generate_all_to_series(i, image=False)\n",
" for i in tqdm(range(next_seeds, next_seeds + save_frequency, 1))\n",
" ]\n",
" ).set_index(\"seed\")\n",
"\n",
" # saves the data and delete the temporary file\n",
" pickle_to_file = f\"data/raw_{next_seeds:010}.pickle\"\n",
" df.to_pickle(pickle_to_file)\n",
" os.remove(tmp_pickle_str)\n",
"\n",
" # break the loop if only a single block of data should be generated.\n",
" if not continues:\n",
" break"
]
},
{
"cell_type": "markdown",
"metadata": {
"pycharm": {
"name": "#%% md\n"
}
},
"source": [
"### Daten Zusammenfassen\n",
"\n",
"Nachdem man den generierenden Teil des Codes für eine Weile hat laufen lassen, erhält man eine vielzahl einzelner Dateien. Diese werden nachfolgend zusammengefasst. Diese so zusammengefasste Tabelle wird nachfolgend bereinigt.\n",
"Direkt nach dem Zusammenfassen der Daten werden alle einträge für die keine Routen gefunden wurde weggelassen.\n",
"\n",
"Dies kann folgende Gründe haben:\n",
"* Startpunkt $P(0, 0)$ ist von Hindernissen eingeschlossen\n",
"* Der Zielpunkt ist von Hindernissen eingeschlossen\n",
"* Fehler im Algorithmus der die Routen generiert"
]
},
{
"cell_type": "code",
"execution_count": 20,
"metadata": {
"pycharm": {
"name": "#%%\n"
}
},
"outputs": [
{
"data": {
"application/vnd.jupyter.widget-view+json": {
"model_id": "1023e2613a834adc908af154412557f0",
"version_major": 2,
"version_minor": 0
},
"text/plain": [
" 0%| | 0/500 [00:00<?, ?it/s]"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
" 25000 maps collected\n",
" 23280 routes collected\n"
]
},
{
"data": {
"text/html": [
"<div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
" vertical-align: middle;\n",
" }\n",
"\n",
" .dataframe tbody tr th {\n",
" vertical-align: top;\n",
" }\n",
"\n",
" .dataframe thead th {\n",
" text-align: right;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>obstacles</th>\n",
" <th>destination_x</th>\n",
" <th>destination_y</th>\n",
" <th>image</th>\n",
" <th>route</th>\n",
" <th>cost</th>\n",
" </tr>\n",
" <tr>\n",
" <th>seed</th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>{'0': POLYGON ((-17.62168766659423 -98.3692662...</td>\n",
" <td>-66.0</td>\n",
" <td>-54.0</td>\n",
" <td>&lt;NA&gt;</td>\n",
" <td>[[0.0, 0.0], [-6.514627334268863, -5.502693040...</td>\n",
" <td>100.151629</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>{'0': POLYGON ((-97.82715137072381 -82.2211677...</td>\n",
" <td>-38.0</td>\n",
" <td>65.0</td>\n",
" <td>&lt;NA&gt;</td>\n",
" <td>[[0.0, 0.0], [-38.0, 65.0]]</td>\n",
" <td>75292.761936</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>{'0': POLYGON ((-46.23706006792075 -76.7569948...</td>\n",
" <td>73.0</td>\n",
" <td>49.0</td>\n",
" <td>&lt;NA&gt;</td>\n",
" <td>[[0.0, 0.0], [43.20648551245758, 31.2114102262...</td>\n",
" <td>18967.522925</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>{'0': POLYGON ((-7.4210414351932155 -83.111096...</td>\n",
" <td>31.0</td>\n",
" <td>56.0</td>\n",
" <td>&lt;NA&gt;</td>\n",
" <td>[[0.0, 0.0], [5.303962239032221, 10.6856391688...</td>\n",
" <td>63200.630758</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>{'0': POLYGON ((-77.97638439917915 -70.2390972...</td>\n",
" <td>47.0</td>\n",
" <td>54.0</td>\n",
" <td>&lt;NA&gt;</td>\n",
" <td>[[0.0, 0.0], [4.691900284503645, -5.4114328014...</td>\n",
" <td>28914.654143</td>\n",
" </tr>\n",
" <tr>\n",
" <th>...</th>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" </tr>\n",
" <tr>\n",
" <th>25045</th>\n",
" <td>{'0': POLYGON ((-80.44890007800937 -70.4569634...</td>\n",
" <td>-67.0</td>\n",
" <td>-27.0</td>\n",
" <td>&lt;NA&gt;</td>\n",
" <td>[[0.0, 0.0], [-4.984525555905634, 5.2282410983...</td>\n",
" <td>309.600598</td>\n",
" </tr>\n",
" <tr>\n",
" <th>25046</th>\n",
" <td>{'0': POLYGON ((-63.55966988255701 -93.6258511...</td>\n",
" <td>-44.0</td>\n",
" <td>-65.0</td>\n",
" <td>&lt;NA&gt;</td>\n",
" <td>[[0.0, 0.0], [-4.3999999999999995, -6.50000000...</td>\n",
" <td>191.114502</td>\n",
" </tr>\n",
" <tr>\n",
" <th>25047</th>\n",
" <td>{'0': POLYGON ((-63.7334990739641 -93.02063274...</td>\n",
" <td>-34.0</td>\n",
" <td>47.0</td>\n",
" <td>&lt;NA&gt;</td>\n",
" <td>[[0.0, 0.0], [-14.236853557702911, 5.258136784...</td>\n",
" <td>38963.48483</td>\n",
" </tr>\n",
" <tr>\n",
" <th>25048</th>\n",
" <td>{'0': POLYGON ((-66.53560391342282 -88.9214851...</td>\n",
" <td>-34.0</td>\n",
" <td>29.0</td>\n",
" <td>&lt;NA&gt;</td>\n",
" <td>[[0.0, 0.0], [-34.0, 29.0]]</td>\n",
" <td>152.757587</td>\n",
" </tr>\n",
" <tr>\n",
" <th>25049</th>\n",
" <td>{'0': POLYGON ((-31.03667561920566 -52.0295076...</td>\n",
" <td>49.0</td>\n",
" <td>59.0</td>\n",
" <td>&lt;NA&gt;</td>\n",
" <td>[[0.0, 0.0], [49.0, 59.0]]</td>\n",
" <td>1438.645384</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"<p>23280 rows × 6 columns</p>\n",
"</div>"
],
"text/plain": [
" obstacles destination_x \\\n",
"seed \n",
"0 {'0': POLYGON ((-17.62168766659423 -98.3692662... -66.0 \n",
"1 {'0': POLYGON ((-97.82715137072381 -82.2211677... -38.0 \n",
"2 {'0': POLYGON ((-46.23706006792075 -76.7569948... 73.0 \n",
"3 {'0': POLYGON ((-7.4210414351932155 -83.111096... 31.0 \n",
"4 {'0': POLYGON ((-77.97638439917915 -70.2390972... 47.0 \n",
"... ... ... \n",
"25045 {'0': POLYGON ((-80.44890007800937 -70.4569634... -67.0 \n",
"25046 {'0': POLYGON ((-63.55966988255701 -93.6258511... -44.0 \n",
"25047 {'0': POLYGON ((-63.7334990739641 -93.02063274... -34.0 \n",
"25048 {'0': POLYGON ((-66.53560391342282 -88.9214851... -34.0 \n",
"25049 {'0': POLYGON ((-31.03667561920566 -52.0295076... 49.0 \n",
"\n",
" destination_y image route \\\n",
"seed \n",
"0 -54.0 <NA> [[0.0, 0.0], [-6.514627334268863, -5.502693040... \n",
"1 65.0 <NA> [[0.0, 0.0], [-38.0, 65.0]] \n",
"2 49.0 <NA> [[0.0, 0.0], [43.20648551245758, 31.2114102262... \n",
"3 56.0 <NA> [[0.0, 0.0], [5.303962239032221, 10.6856391688... \n",
"4 54.0 <NA> [[0.0, 0.0], [4.691900284503645, -5.4114328014... \n",
"... ... ... ... \n",
"25045 -27.0 <NA> [[0.0, 0.0], [-4.984525555905634, 5.2282410983... \n",
"25046 -65.0 <NA> [[0.0, 0.0], [-4.3999999999999995, -6.50000000... \n",
"25047 47.0 <NA> [[0.0, 0.0], [-14.236853557702911, 5.258136784... \n",
"25048 29.0 <NA> [[0.0, 0.0], [-34.0, 29.0]] \n",
"25049 59.0 <NA> [[0.0, 0.0], [49.0, 59.0]] \n",
"\n",
" cost \n",
"seed \n",
"0 100.151629 \n",
"1 75292.761936 \n",
"2 18967.522925 \n",
"3 63200.630758 \n",
"4 28914.654143 \n",
"... ... \n",
"25045 309.600598 \n",
"25046 191.114502 \n",
"25047 38963.48483 \n",
"25048 152.757587 \n",
"25049 1438.645384 \n",
"\n",
"[23280 rows x 6 columns]"
]
},
"execution_count": 20,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"DATA_COLLECTION_PATH: Final[str] = \"data/collected.pickle\"\n",
"\n",
"# Load a cached result should it not be demanded to generate all data new.\n",
"if os.path.exists(DATA_COLLECTION_PATH) and not GENERATE_NEW:\n",
" collected_data = pd.read_pickle(DATA_COLLECTION_PATH)\n",
"else:\n",
" # Read the first n files\n",
" # The number of files read can be defined with the constant: NUMBER_OF_FILES_LIMIT\n",
" # The dataframes read are concatenate directly after\n",
" collected_data = pd.concat(\n",
" [\n",
" pd.read_pickle(filename)\n",
" for filename in tqdm(glob.glob(\"data/raw_*.pickle\")[:NUMBER_OF_FILES_LIMIT])\n",
" ]\n",
" )\n",
"# Prints a short summary of the data.\n",
"number_of_maps = len(collected_data.index)\n",
"print(f\"{number_of_maps: 8} maps collected\")\n",
"collected_data.dropna(subset=[\"route\"], inplace=True)\n",
"number_of_routes = len(collected_data.index)\n",
"print(f\"{number_of_routes: 8} routes collected\")\n",
"collected_data.to_pickle(DATA_COLLECTION_PATH)\n",
"collected_data"
]
},
{
"cell_type": "markdown",
"metadata": {
"pycharm": {
"name": "#%% md\n"
}
},
"source": [
"### Daten Filtern\n",
"\n",
"Die so erzeugten Daten sind ungefiltert. Sie müssen nun überprüft werden. Dazu wurden einige hundert Datensätze geplottet. Einige Muster sind dabei aufgefallen. Die nachfolgenden Filter resultieren aus diesen Mustern.\n",
"\n",
"#### Die Route verlässt die Karte\n",
"\n",
"Das Generieren von Heatmaps von Segelrouten erfordert, das sich das mögliche Ergebnis sinnvoll darstellen lässt. Dazu muss die Route vollständig im definierten Bereich liegen. Alle Routen, die die Karte verlassen werden, weggelassen."
]
},
{
"cell_type": "code",
"execution_count": 21,
"metadata": {
"pycharm": {
"name": "#%%\n"
}
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"23280 - 102 = 23178 sets of data remaining.\n"
]
}
],
"source": [
"def check_route_in_bounds(route):\n",
" \"\"\"\n",
" Check if a route exists and is in bounds.\n",
"\n",
" Args:\n",
" route: An `np.ndarray` of points the builds the route.\n",
"\n",
" Returns:\n",
" A non-existing route or a route that leaves the area routes should stick to return `False` otherwise, `True` is returned.\n",
" \"\"\"\n",
"\n",
" # CHecks if the route exists\n",
" if route is None:\n",
" return False\n",
" if route is pd.NA:\n",
" return False\n",
" # Checks if the route is of the right data type.\n",
" if not isinstance(route, np.ndarray):\n",
" return False\n",
" # Checks if a position is out of bounds.\n",
" if np.array(\n",
" abs(route) > SIZE_ROUTE,\n",
" ).any():\n",
" return False\n",
" return True\n",
"\n",
"\n",
"# Count the number of data points there are before this filter is used.\n",
"data_before = len(collected_data.index)\n",
"\n",
"# Filtering\n",
"df_filter = collected_data[\"route\"].apply(check_route_in_bounds)\n",
"filtered = collected_data[~df_filter]\n",
"collected_data = collected_data[df_filter]\n",
"\n",
"# Count the number of data points there are after this filter is used.\n",
"data_after = len(collected_data.index)\n",
"\n",
"# Print a short report over the changes to the dataset.\n",
"print(\n",
" f\"{data_before} - {data_before-data_after} = {data_after} sets of data remaining.\"\n",
")\n",
"\n",
"# delete variables that where only used inside this cell\n",
"del data_before, data_after, filtered, df_filter"
]
},
{
"cell_type": "markdown",
"metadata": {
"pycharm": {
"name": "#%% md\n"
}
},
"source": [
"#### Routen auf Fehler überprüfen\n",
"\n",
"Ein bug in der Routenfindung hat zu selbstschneidung der Routen geführt dieser wurde beim Sailing Team Darmstadt e.V. behoben. In den ersten ca. 27000 datensätzen gibt es dennoch Selbstschneidungen der Routen. Diese werden hier erkannt und da nicht Representative und nicht richtig aus diesem Datensatz herausgenommen."
]
},
{
"cell_type": "code",
"execution_count": 22,
"metadata": {
"pycharm": {
"name": "#%%\n"
}
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"23178 - 2080 = 21098 sets of data remaining.\n"
]
}
],
"source": [
"def check_route_self_crossing(route):\n",
" \"\"\"\n",
" Check if a route has self intersections.\n",
"\n",
" Args:\n",
" route: An `np.ndarray` of points the builds the route.\n",
"\n",
" Returns:\n",
" `True` if the route is self intersecting.\n",
" \"\"\"\n",
" if isinstance(route, float):\n",
" print(float)\n",
" return not LineString(route).is_simple\n",
"\n",
"\n",
"# count the number of data points before this filter was applied.\n",
"data_before = len(collected_data.index)\n",
"\n",
"# filter the data\n",
"collected_data = collected_data[\n",
" ~collected_data[\"route\"].apply(check_route_self_crossing)\n",
"]\n",
"\n",
"# count the number of data points after this filter was applied.\n",
"data_after = len(collected_data.index)\n",
"\n",
"# print a short report over the changes to the dataset.\n",
"print(\n",
" f\"{data_before} - {data_before-data_after} = {data_after} sets of data remaining.\"\n",
")\n",
"\n",
"# delete variables that where only used inside this cell\n",
"del data_before, data_after"
]
},
{
"cell_type": "markdown",
"metadata": {
"pycharm": {
"name": "#%% md\n"
}
},
"source": [
"#### Filter der Routen nach Kosten\n",
"\n",
"Einige der Routen haben trotz einer Erfolgreichen wegfindung enorm hohe kosten. Kosten werden beim Generieren der route mitberechnet und sind was bei dem Routen generierenden Gradientenabstiegsverfahren optimiert worden. Sie setzen sich zusammen aus Segelzeit und Risiken. Außerordentlich hohe Kosten legen daher entwendet nahe, dass keine gute Route gefunden werden konnte oder das die gefundene Route zu einem schlechten Lokalen Minimum konvergiert hat. Daher werden die teuersten $5\\%$ der Routen weggelassen.\n",
"\n",
"Die folgende Route berechnet das $95\\%$ Quantil und errechnet wie viele Einträge über $95\\%$ liegen."
]
},
{
"cell_type": "code",
"execution_count": 23,
"metadata": {
"pycharm": {
"name": "#%%\n"
}
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"1054 entries over the 0.95 quantile at 39452.885\n"
]
}
],
"source": [
"QUANTILE_LIMIT: Final[float] = 0.95\n",
"if \"DATA_UPPER_LIMIT_QUANTIL\" not in locals():\n",
" DATA_UPPER_LIMIT_QUANTIL: Final[float] = collected_data[\"cost\"].quantile(\n",
" QUANTILE_LIMIT\n",
" )\n",
" OVER_QUANTILE: Final[int] = int(len(collected_data.index) * (1 - QUANTILE_LIMIT))\n",
"# noinspection PyUnboundLocalVariable\n",
"print(\n",
" f\"{OVER_QUANTILE} entries over the {QUANTILE_LIMIT} quantile at {DATA_UPPER_LIMIT_QUANTIL:.3f}\"\n",
")"
]
},
{
"cell_type": "markdown",
"metadata": {
"pycharm": {
"name": "#%% md\n"
}
},
"source": [
"Der folgende Codeschnipsel berechnet das Histogramm der Kosten. Wie wenig repräsentativ die höchsten $5\\%$ der Kosten sind, ist direkt ersichtlich."
]
},
{
"cell_type": "code",
"execution_count": 24,
"metadata": {
"pycharm": {
"name": "#%%\n"
}
},
"outputs": [
{
"data": {
"image/png": "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\n",
"text/plain": [
"<Figure size 432x288 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"collected_data[\"cost\"].plot.hist(bins=15, log=True)\n",
"plt.axvline(x=DATA_UPPER_LIMIT_QUANTIL, color=\"RED\", label=\"95% Quantil\")\n",
"plt.legend()\n",
"plt.show()"
]
},
{
"cell_type": "markdown",
"metadata": {
"pycharm": {
"name": "#%% md\n"
}
},
"source": [
"Nachfolgend werden einige der Route mit sehr hohen Kosten gezeigt. Die Meisten kommen dem Land sehr nahe oder Segeln sehr stark gegen den Wind."
]
},
{
"cell_type": "code",
"execution_count": 25,
"metadata": {
"pycharm": {
"name": "#%%\n"
}
},
"outputs": [
{
"data": {
"application/vnd.jupyter.widget-view+json": {
"model_id": "153f22c0c53d498c80fef9e08c241c30",
"version_major": 2,
"version_minor": 0
},
"text/plain": [
" 0%| | 0/12 [00:00<?, ?it/s]"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 1080x1800 with 12 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"plt.figure(figsize=(15, 25))\n",
"for count, (seed, row) in tqdm(\n",
" enumerate(\n",
" collected_data[collected_data[\"cost\"] > DATA_UPPER_LIMIT_QUANTIL]\n",
" .sort_values(\"cost\")\n",
" .iloc[0 :: int(OVER_QUANTILE / 12)]\n",
" .iloc[:12]\n",
" .iterrows()\n",
" ),\n",
" total=12,\n",
"):\n",
" plt.subplot(5, 3, count + 1)\n",
" plot_situation(\n",
" destination=Point(row.destination_x, row.destination_y),\n",
" obstacles=row.obstacles,\n",
" obstacle_color=\"RED\",\n",
" route=row.route,\n",
" title=f\"Cost: {row.cost}\",\n",
" )\n",
"plt.show()"
]
},
{
"cell_type": "markdown",
"metadata": {
"pycharm": {
"name": "#%% md\n"
}
},
"source": [
"Die Daten werden nun beim $95\\%$ Quantil der Kosten gefiltert."
]
},
{
"cell_type": "code",
"execution_count": 26,
"metadata": {
"pycharm": {
"name": "#%%\n"
}
},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
" vertical-align: middle;\n",
" }\n",
"\n",
" .dataframe tbody tr th {\n",
" vertical-align: top;\n",
" }\n",
"\n",
" .dataframe thead th {\n",
" text-align: right;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>obstacles</th>\n",
" <th>destination_x</th>\n",
" <th>destination_y</th>\n",
" <th>image</th>\n",
" <th>route</th>\n",
" <th>cost</th>\n",
" </tr>\n",
" <tr>\n",
" <th>seed</th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>{'0': POLYGON ((-17.62168766659423 -98.3692662...</td>\n",
" <td>-66.0</td>\n",
" <td>-54.0</td>\n",
" <td>&lt;NA&gt;</td>\n",
" <td>[[0.0, 0.0], [-6.514627334268863, -5.502693040...</td>\n",
" <td>100.151629</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>{'0': POLYGON ((-46.23706006792075 -76.7569948...</td>\n",
" <td>73.0</td>\n",
" <td>49.0</td>\n",
" <td>&lt;NA&gt;</td>\n",
" <td>[[0.0, 0.0], [43.20648551245758, 31.2114102262...</td>\n",
" <td>18967.522925</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>{'0': POLYGON ((-77.97638439917915 -70.2390972...</td>\n",
" <td>47.0</td>\n",
" <td>54.0</td>\n",
" <td>&lt;NA&gt;</td>\n",
" <td>[[0.0, 0.0], [4.691900284503645, -5.4114328014...</td>\n",
" <td>28914.654143</td>\n",
" </tr>\n",
" <tr>\n",
" <th>5</th>\n",
" <td>{'0': POLYGON ((-71.45682729091783 -138.627922...</td>\n",
" <td>-67.0</td>\n",
" <td>37.0</td>\n",
" <td>&lt;NA&gt;</td>\n",
" <td>[[0.0, 0.0], [-42.539218405821984, 15.14880405...</td>\n",
" <td>186.095369</td>\n",
" </tr>\n",
" <tr>\n",
" <th>6</th>\n",
" <td>{'0': POLYGON ((-76.20025009472265 -92.9434076...</td>\n",
" <td>-67.0</td>\n",
" <td>55.0</td>\n",
" <td>&lt;NA&gt;</td>\n",
" <td>[[0.0, 0.0], [-7.80975254664349, 3.41866699781...</td>\n",
" <td>23898.229531</td>\n",
" </tr>\n",
" <tr>\n",
" <th>...</th>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" </tr>\n",
" <tr>\n",
" <th>25045</th>\n",
" <td>{'0': POLYGON ((-80.44890007800937 -70.4569634...</td>\n",
" <td>-67.0</td>\n",
" <td>-27.0</td>\n",
" <td>&lt;NA&gt;</td>\n",
" <td>[[0.0, 0.0], [-4.984525555905634, 5.2282410983...</td>\n",
" <td>309.600598</td>\n",
" </tr>\n",
" <tr>\n",
" <th>25046</th>\n",
" <td>{'0': POLYGON ((-63.55966988255701 -93.6258511...</td>\n",
" <td>-44.0</td>\n",
" <td>-65.0</td>\n",
" <td>&lt;NA&gt;</td>\n",
" <td>[[0.0, 0.0], [-4.3999999999999995, -6.50000000...</td>\n",
" <td>191.114502</td>\n",
" </tr>\n",
" <tr>\n",
" <th>25047</th>\n",
" <td>{'0': POLYGON ((-63.7334990739641 -93.02063274...</td>\n",
" <td>-34.0</td>\n",
" <td>47.0</td>\n",
" <td>&lt;NA&gt;</td>\n",
" <td>[[0.0, 0.0], [-14.236853557702911, 5.258136784...</td>\n",
" <td>38963.48483</td>\n",
" </tr>\n",
" <tr>\n",
" <th>25048</th>\n",
" <td>{'0': POLYGON ((-66.53560391342282 -88.9214851...</td>\n",
" <td>-34.0</td>\n",
" <td>29.0</td>\n",
" <td>&lt;NA&gt;</td>\n",
" <td>[[0.0, 0.0], [-34.0, 29.0]]</td>\n",
" <td>152.757587</td>\n",
" </tr>\n",
" <tr>\n",
" <th>25049</th>\n",
" <td>{'0': POLYGON ((-31.03667561920566 -52.0295076...</td>\n",
" <td>49.0</td>\n",
" <td>59.0</td>\n",
" <td>&lt;NA&gt;</td>\n",
" <td>[[0.0, 0.0], [49.0, 59.0]]</td>\n",
" <td>1438.645384</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"<p>20043 rows × 6 columns</p>\n",
"</div>"
],
"text/plain": [
" obstacles destination_x \\\n",
"seed \n",
"0 {'0': POLYGON ((-17.62168766659423 -98.3692662... -66.0 \n",
"2 {'0': POLYGON ((-46.23706006792075 -76.7569948... 73.0 \n",
"4 {'0': POLYGON ((-77.97638439917915 -70.2390972... 47.0 \n",
"5 {'0': POLYGON ((-71.45682729091783 -138.627922... -67.0 \n",
"6 {'0': POLYGON ((-76.20025009472265 -92.9434076... -67.0 \n",
"... ... ... \n",
"25045 {'0': POLYGON ((-80.44890007800937 -70.4569634... -67.0 \n",
"25046 {'0': POLYGON ((-63.55966988255701 -93.6258511... -44.0 \n",
"25047 {'0': POLYGON ((-63.7334990739641 -93.02063274... -34.0 \n",
"25048 {'0': POLYGON ((-66.53560391342282 -88.9214851... -34.0 \n",
"25049 {'0': POLYGON ((-31.03667561920566 -52.0295076... 49.0 \n",
"\n",
" destination_y image route \\\n",
"seed \n",
"0 -54.0 <NA> [[0.0, 0.0], [-6.514627334268863, -5.502693040... \n",
"2 49.0 <NA> [[0.0, 0.0], [43.20648551245758, 31.2114102262... \n",
"4 54.0 <NA> [[0.0, 0.0], [4.691900284503645, -5.4114328014... \n",
"5 37.0 <NA> [[0.0, 0.0], [-42.539218405821984, 15.14880405... \n",
"6 55.0 <NA> [[0.0, 0.0], [-7.80975254664349, 3.41866699781... \n",
"... ... ... ... \n",
"25045 -27.0 <NA> [[0.0, 0.0], [-4.984525555905634, 5.2282410983... \n",
"25046 -65.0 <NA> [[0.0, 0.0], [-4.3999999999999995, -6.50000000... \n",
"25047 47.0 <NA> [[0.0, 0.0], [-14.236853557702911, 5.258136784... \n",
"25048 29.0 <NA> [[0.0, 0.0], [-34.0, 29.0]] \n",
"25049 59.0 <NA> [[0.0, 0.0], [49.0, 59.0]] \n",
"\n",
" cost \n",
"seed \n",
"0 100.151629 \n",
"2 18967.522925 \n",
"4 28914.654143 \n",
"5 186.095369 \n",
"6 23898.229531 \n",
"... ... \n",
"25045 309.600598 \n",
"25046 191.114502 \n",
"25047 38963.48483 \n",
"25048 152.757587 \n",
"25049 1438.645384 \n",
"\n",
"[20043 rows x 6 columns]"
]
},
"execution_count": 26,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"collected_data = collected_data.loc[collected_data[\"cost\"] < DATA_UPPER_LIMIT_QUANTIL]\n",
"collected_data"
]
},
{
"cell_type": "markdown",
"metadata": {
"pycharm": {
"name": "#%% md\n"
}
},
"source": [
"Ein neues Histogramm der Kostenfunktion wird geplottet."
]
},
{
"cell_type": "code",
"execution_count": 27,
"metadata": {
"pycharm": {
"name": "#%%\n"
}
},
"outputs": [
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 432x288 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"collected_data[\"cost\"].plot.hist(log=True)\n",
"plt.title(\"Route costs cut at the 95% quantile\")\n",
"plt.show()"
]
},
{
"cell_type": "markdown",
"metadata": {
"pycharm": {
"name": "#%% md\n"
}
},
"source": [
"#### Filter der Routen nach Komplexität"
]
},
{
"cell_type": "markdown",
"metadata": {
"pycharm": {
"name": "#%% md\n"
}
},
"source": [
"Gegenüber den Routen mit zu hohen Kosten stehen die Routen mit zu geringen Kosten. Daher werden als nächsten Routen mit zu niedrigen Kosten betrachtet.\n",
"Nachfolgend ist eine Auswahl solcher günstiger Routen angezeigt. Es fällt auf das all diese Routen direkt sind.\n",
"Eine betrachtung der Verteilung der Routenpunkte ist daher notwendig."
]
},
{
"cell_type": "code",
"execution_count": 28,
"metadata": {
"pycharm": {
"name": "#%%\n"
}
},
"outputs": [
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 1260x1800 with 12 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"plt.figure(figsize=(17.5, 25))\n",
"for count, (seed, row) in enumerate(\n",
" collected_data[collected_data[\"cost\"] < DATA_UPPER_LIMIT_QUANTIL]\n",
" .sort_values(\"cost\")\n",
" .iloc[1:600:51]\n",
" .iterrows()\n",
"):\n",
" plt.subplot(4, 3, count + 1)\n",
" plot_situation(\n",
" destination=Point(row.destination_x, row.destination_y),\n",
" obstacles=row.obstacles,\n",
" obstacle_color=\"RED\",\n",
" route=row.route,\n",
" title=f\"Cost: {row.cost:.3f}\",\n",
" legend=count == 0,\n",
" )\n",
"plt.show()\n",
"del seed"
]
},
{
"cell_type": "code",
"execution_count": 29,
"metadata": {
"pycharm": {
"name": "#%%\n"
}
},
"outputs": [
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 432x288 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"def get_route_points(data):\n",
" \"\"\"\n",
" Counts how many stops are made inbetween.\n",
"\n",
" Args:\n",
" data: a `pd.DataFrame` collecting all the data.\n",
" Returns:\n",
"\n",
" \"\"\"\n",
" complexity = data[\"route\"].apply(lambda r: r.shape[0] - 2)\n",
" complexity.name = \"route complexity\"\n",
" return complexity\n",
"\n",
"\n",
"route_points = get_route_points(collected_data)\n",
"route_points.plot.hist()\n",
"plt.title(\"Route complexity in intermediate points\")\n",
"plt.show()"
]
},
{
"cell_type": "markdown",
"metadata": {
"pycharm": {
"name": "#%% md\n"
}
},
"source": [
"Bei der oben angezeigten Komplexität wird, deutlich das diese teilweise etwas noch ist. Hier wird ein Limit von 15 eingeführt."
]
},
{
"cell_type": "code",
"execution_count": 30,
"metadata": {
"pycharm": {
"name": "#%%\n"
}
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"20043 - 979 = 19064 if only routes with less then 15 course changes remain.\n"
]
}
],
"source": [
"routes_before = len(collected_data.index)\n",
"collected_data = collected_data[route_points <= 15]\n",
"routes_after = len(collected_data.index)\n",
"print(\n",
" f\"{routes_before} - {routes_before - routes_after} = {routes_after} \"\n",
" f\"if only routes with less then 15 course changes remain.\"\n",
")"
]
},
{
"cell_type": "code",
"execution_count": 31,
"metadata": {
"pycharm": {
"name": "#%%\n"
}
},
"outputs": [
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 432x288 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"get_route_points(collected_data).plot.hist(bins=15)\n",
"plt.title(\"Route complexity in intermediate points\")\n",
"plt.show()"
]
},
{
"cell_type": "markdown",
"metadata": {
"pycharm": {
"name": "#%% md\n"
}
},
"source": []
},
{
"cell_type": "markdown",
"metadata": {
"pycharm": {
"name": "#%% md\n"
}
},
"source": [
"Die nun reduzierte Anzahl der Routen enthält eine zwar Representative mange an sehr einfachen Routen. Da das Ergebnis dieser Routen aber eine lehre, Heat Map für Kursänderungen ist, muss hier deutlich reduziert werden sodas sie nur einen angegebenen anteil am Gesamtvolumen ausmachen. Dieser Anteil wurde hier auf $5\\%$ gesetzt."
]
},
{
"cell_type": "code",
"execution_count": 32,
"metadata": {
"pycharm": {
"name": "#%%\n"
}
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Limiting simple cases to 5.0% of the total routes. Reducing simple routes to 11.3% of their volume.\n"
]
}
],
"source": [
"# Define the upper limit of the percentage easy routes should reach\n",
"LIMIT_SIMPLE_CASES = 0.05\n",
"values = get_route_points(collected_data).value_counts().sort_index()\n",
"chance_limit = (\n",
" (len(collected_data.index) * LIMIT_SIMPLE_CASES * (1 - LIMIT_SIMPLE_CASES))\n",
" / values.get(0, 1)\n",
" if 0 in values.index\n",
" else 0\n",
")\n",
"print(\n",
" f\"Limiting simple cases to {LIMIT_SIMPLE_CASES * 100:.1f}% of the total routes. Reducing simple routes to {(chance_limit * 100):.1f}% of their volume.\"\n",
")"
]
},
{
"cell_type": "markdown",
"metadata": {
"pycharm": {
"name": "#%% md\n"
}
},
"source": [
"Der folgende Abschnitt setzt das oben aufgestellte limit um."
]
},
{
"cell_type": "code",
"execution_count": 33,
"metadata": {
"pycharm": {
"name": "#%%\n"
}
},
"outputs": [],
"source": [
"np.random.seed = 0\n",
"collected_data = collected_data[\n",
" (\n",
" (get_route_points(collected_data) > 1)\n",
" | (np.random.random(len(collected_data.index)) < chance_limit)\n",
" )\n",
"]\n",
"del chance_limit"
]
},
{
"cell_type": "markdown",
"metadata": {
"pycharm": {
"name": "#%% md\n"
}
},
"source": [
"Die so veränderte distribution der Routenkomplexität sieht dann so aus."
]
},
{
"cell_type": "code",
"execution_count": 34,
"metadata": {
"pycharm": {
"name": "#%%\n"
}
},
"outputs": [
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 432x288 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"get_route_points(collected_data).plot.hist(bins=15)\n",
"plt.title(\"Complexity Distribution after an enforced limit to trivial solutions.\")\n",
"plt.show()"
]
},
{
"cell_type": "markdown",
"metadata": {
"pycharm": {
"name": "#%% md\n"
}
},
"source": [
"Das `pd.DataFrame` welches die gefilterten Daten sammelt, sieht dann wie folgt aus:"
]
},
{
"cell_type": "code",
"execution_count": 35,
"metadata": {
"pycharm": {
"name": "#%%\n"
}
},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
" vertical-align: middle;\n",
" }\n",
"\n",
" .dataframe tbody tr th {\n",
" vertical-align: top;\n",
" }\n",
"\n",
" .dataframe thead th {\n",
" text-align: right;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>obstacles</th>\n",
" <th>destination_x</th>\n",
" <th>destination_y</th>\n",
" <th>image</th>\n",
" <th>route</th>\n",
" <th>cost</th>\n",
" </tr>\n",
" <tr>\n",
" <th>seed</th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>{'0': POLYGON ((-17.62168766659423 -98.3692662...</td>\n",
" <td>-66.0</td>\n",
" <td>-54.0</td>\n",
" <td>&lt;NA&gt;</td>\n",
" <td>[[0.0, 0.0], [-6.514627334268863, -5.502693040...</td>\n",
" <td>100.151629</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>{'0': POLYGON ((-46.23706006792075 -76.7569948...</td>\n",
" <td>73.0</td>\n",
" <td>49.0</td>\n",
" <td>&lt;NA&gt;</td>\n",
" <td>[[0.0, 0.0], [43.20648551245758, 31.2114102262...</td>\n",
" <td>18967.522925</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>{'0': POLYGON ((-77.97638439917915 -70.2390972...</td>\n",
" <td>47.0</td>\n",
" <td>54.0</td>\n",
" <td>&lt;NA&gt;</td>\n",
" <td>[[0.0, 0.0], [4.691900284503645, -5.4114328014...</td>\n",
" <td>28914.654143</td>\n",
" </tr>\n",
" <tr>\n",
" <th>8</th>\n",
" <td>{'0': POLYGON ((-38.740101054728726 -89.986420...</td>\n",
" <td>58.0</td>\n",
" <td>61.0</td>\n",
" <td>&lt;NA&gt;</td>\n",
" <td>[[0.0, 0.0], [-8.211437427025228, -1.293253961...</td>\n",
" <td>16899.906926</td>\n",
" </tr>\n",
" <tr>\n",
" <th>12</th>\n",
" <td>{'0': POLYGON ((-78.64598261951151 -82.5905995...</td>\n",
" <td>55.0</td>\n",
" <td>-72.0</td>\n",
" <td>&lt;NA&gt;</td>\n",
" <td>[[0.0, 0.0], [7.15433954975134, 5.559264844101...</td>\n",
" <td>177.415475</td>\n",
" </tr>\n",
" <tr>\n",
" <th>...</th>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" </tr>\n",
" <tr>\n",
" <th>25037</th>\n",
" <td>{'0': POLYGON ((-70.1543216286469 -126.2833218...</td>\n",
" <td>-62.0</td>\n",
" <td>38.0</td>\n",
" <td>&lt;NA&gt;</td>\n",
" <td>[[0.0, 0.0], [-7.838432819436369, -0.057524750...</td>\n",
" <td>18101.3419</td>\n",
" </tr>\n",
" <tr>\n",
" <th>25044</th>\n",
" <td>{'0': POLYGON ((-94.3612368741144 -96.08652939...</td>\n",
" <td>70.0</td>\n",
" <td>54.0</td>\n",
" <td>&lt;NA&gt;</td>\n",
" <td>[[0.0, 0.0], [-2.122974900266036, 8.5821312954...</td>\n",
" <td>18061.452073</td>\n",
" </tr>\n",
" <tr>\n",
" <th>25045</th>\n",
" <td>{'0': POLYGON ((-80.44890007800937 -70.4569634...</td>\n",
" <td>-67.0</td>\n",
" <td>-27.0</td>\n",
" <td>&lt;NA&gt;</td>\n",
" <td>[[0.0, 0.0], [-4.984525555905634, 5.2282410983...</td>\n",
" <td>309.600598</td>\n",
" </tr>\n",
" <tr>\n",
" <th>25046</th>\n",
" <td>{'0': POLYGON ((-63.55966988255701 -93.6258511...</td>\n",
" <td>-44.0</td>\n",
" <td>-65.0</td>\n",
" <td>&lt;NA&gt;</td>\n",
" <td>[[0.0, 0.0], [-4.3999999999999995, -6.50000000...</td>\n",
" <td>191.114502</td>\n",
" </tr>\n",
" <tr>\n",
" <th>25047</th>\n",
" <td>{'0': POLYGON ((-63.7334990739641 -93.02063274...</td>\n",
" <td>-34.0</td>\n",
" <td>47.0</td>\n",
" <td>&lt;NA&gt;</td>\n",
" <td>[[0.0, 0.0], [-14.236853557702911, 5.258136784...</td>\n",
" <td>38963.48483</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"<p>11883 rows × 6 columns</p>\n",
"</div>"
],
"text/plain": [
" obstacles destination_x \\\n",
"seed \n",
"0 {'0': POLYGON ((-17.62168766659423 -98.3692662... -66.0 \n",
"2 {'0': POLYGON ((-46.23706006792075 -76.7569948... 73.0 \n",
"4 {'0': POLYGON ((-77.97638439917915 -70.2390972... 47.0 \n",
"8 {'0': POLYGON ((-38.740101054728726 -89.986420... 58.0 \n",
"12 {'0': POLYGON ((-78.64598261951151 -82.5905995... 55.0 \n",
"... ... ... \n",
"25037 {'0': POLYGON ((-70.1543216286469 -126.2833218... -62.0 \n",
"25044 {'0': POLYGON ((-94.3612368741144 -96.08652939... 70.0 \n",
"25045 {'0': POLYGON ((-80.44890007800937 -70.4569634... -67.0 \n",
"25046 {'0': POLYGON ((-63.55966988255701 -93.6258511... -44.0 \n",
"25047 {'0': POLYGON ((-63.7334990739641 -93.02063274... -34.0 \n",
"\n",
" destination_y image route \\\n",
"seed \n",
"0 -54.0 <NA> [[0.0, 0.0], [-6.514627334268863, -5.502693040... \n",
"2 49.0 <NA> [[0.0, 0.0], [43.20648551245758, 31.2114102262... \n",
"4 54.0 <NA> [[0.0, 0.0], [4.691900284503645, -5.4114328014... \n",
"8 61.0 <NA> [[0.0, 0.0], [-8.211437427025228, -1.293253961... \n",
"12 -72.0 <NA> [[0.0, 0.0], [7.15433954975134, 5.559264844101... \n",
"... ... ... ... \n",
"25037 38.0 <NA> [[0.0, 0.0], [-7.838432819436369, -0.057524750... \n",
"25044 54.0 <NA> [[0.0, 0.0], [-2.122974900266036, 8.5821312954... \n",
"25045 -27.0 <NA> [[0.0, 0.0], [-4.984525555905634, 5.2282410983... \n",
"25046 -65.0 <NA> [[0.0, 0.0], [-4.3999999999999995, -6.50000000... \n",
"25047 47.0 <NA> [[0.0, 0.0], [-14.236853557702911, 5.258136784... \n",
"\n",
" cost \n",
"seed \n",
"0 100.151629 \n",
"2 18967.522925 \n",
"4 28914.654143 \n",
"8 16899.906926 \n",
"12 177.415475 \n",
"... ... \n",
"25037 18101.3419 \n",
"25044 18061.452073 \n",
"25045 309.600598 \n",
"25046 191.114502 \n",
"25047 38963.48483 \n",
"\n",
"[11883 rows x 6 columns]"
]
},
"execution_count": 35,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"collected_data"
]
},
{
"cell_type": "markdown",
"metadata": {
"pycharm": {
"name": "#%% md\n"
}
},
"source": [
"### Das konvertieren in trainierbare Daten\n",
"\n",
"Die bisher erstellten und gefilterten Daten müssen nun mit der oben definierten methode zum Generieren von Bildern `generate_image_from_map` transformiert werden. Die so transformierten daten werden dann zusammengefasst und in ein `tf.Dataset` konvertiert werden welches von Pandas genau für solche Fälle vorgesehen wird. Es gibt dort auch andere Methoden wie zum Beispiel die methode `tf.keras.utils.image_dataset_from_directory`. Bei diesem Problem besteht aber die Hoffnung, das auch ohne solche Methoden der RAM ausreicht und die Daten nicht immer wieder neu von der Festplatte gelesen werden müssen."
]
},
{
"cell_type": "code",
"execution_count": 36,
"metadata": {
"pycharm": {
"name": "#%%\n"
}
},
"outputs": [],
"source": [
"def generate_image_maps(row, route_type: Literal[\"dot\", \"line\"]):\n",
" \"\"\"Generates the image version of the route.\n",
"\n",
" Adds another dimension to prepare vor concatenation in a later step.\n",
" Divides by 0xFF to contain only 0 and 1 and values.\n",
" Color channel zero contains obstacles.\n",
" Color channel one contains the destination.\n",
" Color channel two contains the route either as course change points or as continues lines.\n",
"\n",
" Args:\n",
" row: The row of the pd.DataFrame that should be used to generate an image.\n",
" route_type: Defines if the route should be drawn as a collection of course change points or continues lines.\n",
" Returns:\n",
" The image modified for concatenation and scaled to be easily used for pandas.\n",
" Cast as uint8 for a minimal memory consumption.\n",
" \"\"\"\n",
" # expands the dimension by one\n",
" img = np.expand_dims(\n",
" # converts the image into a numpy array\n",
" np.asarray(\n",
" # generate the situation image form a map\n",
" generate_image_from_map(\n",
" obstacles=row.obstacles,\n",
" destination=Point(row.destination_x, row.destination_y),\n",
" route=row.route,\n",
" route_type=route_type,\n",
" )\n",
" ),\n",
" axis=0,\n",
" )\n",
" # integer divide to ensure all values are between 0 and 1\n",
" img = img // 0xFF\n",
" return img"
]
},
{
"cell_type": "code",
"execution_count": 37,
"metadata": {
"pycharm": {
"name": "#%%\n"
}
},
"outputs": [],
"source": [
"# drop the image column to save some space in the dataset\n",
"if \"image\" in collected_data.columns:\n",
" del collected_data[\"image\"]"
]
},
{
"cell_type": "code",
"execution_count": 38,
"metadata": {
"pycharm": {
"name": "#%%\n"
}
},
"outputs": [],
"source": [
"# save the collected and filtered data into a pickle file to load again later and flush the ram a bit.\n",
"DATA_WITH_IMG_PATH: Final[str] = \"data/collected_and_filtered.pickle\"\n",
"collected_data.to_pickle(DATA_WITH_IMG_PATH)"
]
},
{
"cell_type": "code",
"execution_count": 39,
"metadata": {
"pycharm": {
"name": "#%%\n"
}
},
"outputs": [
{
"data": {
"application/vnd.jupyter.widget-view+json": {
"model_id": "61be15a689ca481e8fa703626c66dbcb",
"version_major": 2,
"version_minor": 0
},
"text/plain": [
" 0%| | 0/11883 [00:00<?, ?it/s]"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"# collecting map images with routes as lines.\n",
"collected_routes = np.concatenate(\n",
" collected_data.progress_apply(generate_image_maps, axis=1, args=(\"line\",))\n",
")"
]
},
{
"cell_type": "markdown",
"metadata": {
"pycharm": {
"name": "#%% md\n"
}
},
"source": [
"Die gesammelten Daten sind relativ groß die nachfolgende Operation zeigt an wie viel RAM dafür gerade belegt ist."
]
},
{
"cell_type": "code",
"execution_count": 40,
"metadata": {
"pycharm": {
"name": "#%%\n"
}
},
"outputs": [
{
"data": {
"text/plain": [
"'584.1 MB'"
]
},
"execution_count": 40,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"humanize.naturalsize(sys.getsizeof(collected_routes))"
]
},
{
"cell_type": "markdown",
"metadata": {
"pycharm": {
"name": "#%% md\n"
}
},
"source": [
"Stellt sicher, dass ein Datentyp verwendet der ein Minimum an Speicher verwendet."
]
},
{
"cell_type": "code",
"execution_count": 41,
"metadata": {
"pycharm": {
"name": "#%%\n"
}
},
"outputs": [],
"source": [
"assert (\n",
" str(collected_routes.dtype) == \"uint8\"\n",
"), \"Dtype needs to be unit8 to fit in the ram.\""
]
},
{
"cell_type": "code",
"execution_count": 42,
"metadata": {
"pycharm": {
"name": "#%%\n"
}
},
"outputs": [],
"source": [
"COLLECTED_ROUTES_LINE_DUMP = \"data/collected_routes_np_line.pickle\"\n",
"with open(COLLECTED_ROUTES_LINE_DUMP, \"wb\") as f:\n",
" pickle.dump(collected_routes, f)"
]
},
{
"cell_type": "markdown",
"metadata": {
"pycharm": {
"name": "#%% md\n"
}
},
"source": [
"Generiert die Daten für das Line format."
]
},
{
"cell_type": "code",
"execution_count": 43,
"metadata": {
"pycharm": {
"name": "#%%\n"
}
},
"outputs": [
{
"data": {
"application/vnd.jupyter.widget-view+json": {
"model_id": "52a82f92a2c5402cbe484a4e44499ee4",
"version_major": 2,
"version_minor": 0
},
"text/plain": [
" 0%| | 0/11883 [00:00<?, ?it/s]"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"# collecting map images with routes as dots.\n",
"collected_routes_dots = np.concatenate(\n",
" collected_data.progress_apply(generate_image_maps, axis=1, args=(\"dot\",))\n",
")\n",
"assert (\n",
" str(collected_routes_dots.dtype) == \"uint8\"\n",
"), \"Dtype needs to be unit8 to fit in the ram.\"\n",
"COLLECTED_ROUTES_DOT_DUMP = \"data/collected_routes_np_dot.pickle\"\n",
"with open(COLLECTED_ROUTES_DOT_DUMP, \"wb\") as f:\n",
" pickle.dump(collected_routes, f)\n",
"\n",
"# deletes the collection object\n",
"del collected_routes_dots"
]
},
{
"cell_type": "markdown",
"metadata": {
"pycharm": {
"name": "#%% md\n"
}
},
"source": [
"## Das Model\n",
"\n",
"\n",
"Jedes neuronale Netz, hat eine bestimmte *Form*, diese wird im Modell definiert. Die Form bestimmt die Anzahl der versteckten Schichten, ob beim Training spezielle Filter wie `Dropout` oder `BatchNormalization` verwendet werden sollen. Auch die art der Aktivierungsfunktionen wird hier definiert.\n",
"\n",
"Oft gibt es für bestimmte Probleme schon die Eine oder andere Art von Netzwerkstruktur/Modellstruktur, die sich als geeignet erwiesen hat. Für diese Art von Problem wo aus einem Bild eine anderes Generiert werden soll haben sich GAN netzwerke als besonders Schlagfertig erwiesen [2], [3], [4].\n",
"\n",
"GAN netzwerke bestehen immer aus zwei Komponenten einem `Generator` und einem `Discriminator` der `Generator` generiert ein Bild von einem anderen Bild. Der `Discriminator` versucht die Builder zu Unterscheide und weist so den `Gernerator` auf Fehler hin die durch eine normale Lernfunktion mit einer $l_1$ oder $l_2$ norm nicht hervorgehoben werden weill es für diese oft reicht wenn das Ziel ungefähr erreicht wird. Der `Discriminator` sorgt also für Klare Kontraste und saubere Farbverläufe.\n",
"\n",
"Das hier betrachtete Problem erwartet nun eine Heat map. Da nicht davon auszugehen ist das die Perfekte Route direkt gefunden wurde ist ein etwas verwaschenes Ergebnis eine Funktion nicht ein Problem. Daher wird hier versucht den Routenschätzer ohne `Discriminator` aufzubauen."
]
},
{
"cell_type": "markdown",
"metadata": {
"pycharm": {
"name": "#%% md\n"
}
},
"source": [
"### Der Generator\n",
"\n",
"Der `Generator` ist eine Art von Autoencoder. Er nimmt das Bild abstrahiert es in eine Sammlung von Features und generiert aus diesem Abstraction Format wieder ein Bild.\n",
"Der `Generator` besteht daher aus einer Reihe von *Downsamplern* gefolgt von ebenso vielen *Upsamplern*. Der Downsampler fasst alle zwei Pixel, 3 Pixel über ein `tf.keras.layers.Conv2D` layer zusammen. Symmetrisch dazu macht der Upsampler macht dies wieder Rückgängig. So wird die Bildgröße mit jedem Downsampler Layer halbiert und mit jedem Upsampler Layer wieder verdoppelt. Dafür erhält jeder Downsampler mehr features während der Upsampler jedes mahl Features verliert. Up und Downsmapler sind meist Symmetrisch aufgebaut.\n",
"Wie in, sowohl dem TensorFlow Tutorial[4], als auch in dem Praxiseinstieg Maschine Learning in der Sektion über GANs[2] zu lesen ist benötigt der Downsampler eine BatchNormaliszation leaky Relu als Aktivierungsfunktion im Downsampler. Relu wird für den Upsampler verwendet.\n",
"* Relu `y = x if x >= 0 else 0`\n",
"* LeakyRelu `y = x if x >= 0 else b * x` wobei $x$ eine Zahl viel kleiner als 1 ist.\n",
"\n",
"BatchNormalization normalisiert die Ausgabewerte einer Schicht über eine Training Batch, indem der Durchschnitt jeder Ausgangsschicht auf 0 geschoben wird und auf die Varianz 1 skaliert wird[5]. Beim Ausführen des Models wird die in der letzten Epoche festgelegte Gesamtbeschreibung und Skalierung genutzt. Dies sorgt zusammen mit dem DropOut Filter im Upsampler für ein konsistentes Lernen und verhindert das Overfitting.\n",
"Interessanterweise erhält jedes Upsampling Schicht sowohl dass, vorangegangene Schicht als auch das Symmetrisch Downsampling Schicht als Input."
]
},
{
"cell_type": "code",
"execution_count": 44,
"metadata": {
"pycharm": {
"name": "#%%\n"
}
},
"outputs": [],
"source": [
"# Source: https://www.tensorflow.org/tutorials/generative/pix2pix\n",
"def downsample(filters, size, apply_batchnorm=True):\n",
" \"\"\"Create a downsample layer.\n",
"\n",
" A downsample layer contains:\n",
" * tf.keras.layers.Conv2D\n",
" * An aktivation Function\n",
" * Optional a batchnorm\n",
" * A activation function (LeakyRelu)\n",
" Args:\n",
" filters: The number of features that should be gernated.\n",
" size: The number of features / pixels should be reduced.\n",
" apply_batchnorm: If True the Batchnorm is applied. Batch norms are used by default.\n",
" Returns:\n",
" A sequentail model contain the keras generated layers.\n",
" \"\"\"\n",
"\n",
" initializer = tf.random_normal_initializer(mean=0.0, stddev=0.02)\n",
"\n",
" result = tf.keras.Sequential()\n",
" result.add(\n",
" tf.keras.layers.Conv2D(\n",
" filters,\n",
" size,\n",
" strides=2,\n",
" padding=\"same\",\n",
" kernel_initializer=initializer,\n",
" use_bias=False,\n",
" )\n",
" )\n",
"\n",
" if apply_batchnorm:\n",
" result.add(tf.keras.layers.BatchNormalization())\n",
"\n",
" result.add(tf.keras.layers.LeakyReLU())\n",
"\n",
" return result"
]
},
{
"cell_type": "code",
"execution_count": 45,
"metadata": {
"pycharm": {
"name": "#%%\n"
}
},
"outputs": [],
"source": [
"# Source: https://www.tensorflow.org/tutorials/generative/pix2pix\n",
"def upsample(filters, size, apply_dropout=False):\n",
" \"\"\"Create a upsample layer.\n",
"\n",
" A downsample layer contains:\n",
" * tf.keras.layers.Conv2D\n",
" * An aktivation Function\n",
" * Optional a batchnorm\n",
" * A activation function (LeakyRelu)\n",
" Args:\n",
" filters: The number of features that should be used to upsample the layer.\n",
" size: The number of\n",
" apply_dropout: If True a dropout layer ist used.\n",
" Returns:\n",
" A sequentail model contain the keras generated layers.\n",
" \"\"\"\n",
" initializer = tf.random_normal_initializer(0.0, 0.02)\n",
"\n",
" result = tf.keras.Sequential()\n",
" result.add(\n",
" tf.keras.layers.Conv2DTranspose(\n",
" filters,\n",
" size,\n",
" strides=2,\n",
" padding=\"same\",\n",
" kernel_initializer=initializer,\n",
" use_bias=False,\n",
" )\n",
" )\n",
"\n",
" result.add(tf.keras.layers.BatchNormalization())\n",
"\n",
" if apply_dropout:\n",
" result.add(tf.keras.layers.Dropout(0.5))\n",
"\n",
" result.add(tf.keras.layers.ReLU())\n",
"\n",
" return result"
]
},
{
"cell_type": "markdown",
"metadata": {
"pycharm": {
"name": "#%% md\n"
}
},
"source": [
"#### Model erstellung\n",
"Erstellt ein erstes model des Generatos wie oben beschrieben. Ein Schematisches Layout findet sich darunter."
]
},
{
"cell_type": "code",
"execution_count": 46,
"metadata": {
"pycharm": {
"name": "#%%\n"
},
"scrolled": false
},
"outputs": [
{
"data": {
"image/png": 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\n",
"text/plain": [
"<IPython.core.display.Image object>"
]
},
"execution_count": 46,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"def model_generator():\n",
" \"\"\"Creates an initial sequential model.\n",
" \n",
" Returns:\n",
" A Sequential model.\n",
" \"\"\"\n",
"\n",
" inputs = tf.keras.layers.Input(shape=[IMG_SIZE, IMG_SIZE, 2])\n",
"\n",
" # down_stack = [\n",
" # downsample(64, 4, apply_batchnorm=False), # (batch_size, 64, 64, 128)\n",
" # downsample(128, 4), # (batch_size, 8, 8, 512)\n",
" # downsample(512, 4), # (batch_size, 4, 4, 512)\n",
" # downsample(512, 4), # (batch_size, 2, 2, 512)\n",
" # downsample(512, 4), # (batch_size, 1, 1, 512)\n",
" # downsample(512, 4), # (batch_size, 1, 1, 512)\n",
" # downsample(512, 4), # (batch_size, 1, 1, 512)\n",
" # ]\n",
" #\n",
" # up_stack = [\n",
" # upsample(512, 4, apply_dropout=True), # (batch_size, 4, 4, 1024)\n",
" # upsample(512, 4, apply_dropout=True), # (batch_size, 4, 4, 1024)\n",
" # upsample(512, 4, apply_dropout=True), # (batch_size, 4, 4, 1024)\n",
" # upsample(512, 4), # (batch_size, 16, 16, 1024)\n",
" # upsample(128, 4), # (batch_size, 32, 32, 512)\n",
" # upsample(64, 4), # (batch_size, 64, 64, 256)\n",
" # ]\n",
"\n",
" down_stack = [\n",
" downsample(64, 4, apply_batchnorm=False), # (batch_size, 64, 64, 128)\n",
" downsample(128, 4), # (batch_size, 8, 8, 512)\n",
" downsample(128, 4), # (batch_size, 4, 4, 512)\n",
" downsample(256, 4), # (batch_size, 2, 2, 512)\n",
" downsample(256, 4), # (batch_size, 1, 1, 512)\n",
" downsample(512, 4), # (batch_size, 1, 1, 512)\n",
" downsample(512, 4), # (batch_size, 1, 1, 512)\n",
" ]\n",
"\n",
" up_stack = [\n",
" upsample(512, 4, apply_dropout=True), # (batch_size, 4, 4, 1024)\n",
" upsample(256, 4, apply_dropout=True), # (batch_size, 4, 4, 1024)\n",
" upsample(256, 4, apply_dropout=True), # (batch_size, 4, 4, 1024)\n",
" upsample(128, 4), # (batch_size, 16, 16, 1024)\n",
" upsample(128, 4), # (batch_size, 32, 32, 512)\n",
" upsample(64, 4), # (batch_size, 64, 64, 256)\n",
" ]\n",
"\n",
" initializer = tf.random_normal_initializer(0.0, 0.02)\n",
" last = tf.keras.layers.Conv2DTranspose(\n",
" 1,\n",
" 4,\n",
" strides=2,\n",
" padding=\"same\",\n",
" kernel_initializer=initializer,\n",
" activation=\"sigmoid\", # was tanh\n",
" ) # (batch_size, 256, 256, 3)\n",
"\n",
" x = inputs\n",
"\n",
" # Down sampling through the model\n",
" skips = []\n",
" for down in down_stack:\n",
" x = down(x)\n",
" skips.append(x)\n",
"\n",
" skips = reversed(skips[:-1])\n",
"\n",
" # Up sampling and establishing the skip connections\n",
" for up, skip in zip(up_stack, skips):\n",
" x = up(x)\n",
" x = tf.keras.layers.Concatenate()([x, skip])\n",
"\n",
" x = last(x)\n",
" \n",
" # drop the chanel dimension\n",
" reshaped = tf.keras.layers.Reshape((128, 128))(x)\n",
"\n",
" return tf.keras.Model(inputs=inputs, outputs=reshaped)\n",
"\n",
"tf.keras.utils.plot_model(model_generator(), show_shapes=True, dpi=64)"
]
},
{
"cell_type": "markdown",
"metadata": {
"pycharm": {
"name": "#%% md\n"
}
},
"source": [
"Um mehr controlle über den Lernprozess zu haben werden drei Coallbacks verwendet. Der EarlyStopping callback verhindert vor allem das Verschwenden von Rechenzeit indem er den Lernvorgang abbricht wenn eine weile keine Verbesserung gefunden wurde. Verschlechtert sich die beobachtete Metric wird der Lernvorgang abgebrochen."
]
},
{
"cell_type": "code",
"execution_count": 47,
"metadata": {
"pycharm": {
"name": "#%%\n"
}
},
"outputs": [],
"source": [
"early_stop = tf.keras.callbacks.EarlyStopping(\n",
" monitor=\"mean_squared_error\",\n",
" min_delta=0.00001,\n",
" patience=5,\n",
" verbose=0,\n",
" mode=\"auto\",\n",
" restore_best_weights=True,\n",
")"
]
},
{
"cell_type": "markdown",
"metadata": {
"pycharm": {
"name": "#%% md\n"
}
},
"source": [
"Um den Lernforgang mit zu Loggen und anschließend zu Kontrollieren wird der Lernforgangn im Logverzeichtnis für Tensorboard mitgeschrieben. Auch profilingdaten werden erfasst."
]
},
{
"cell_type": "code",
"execution_count": 48,
"metadata": {},
"outputs": [],
"source": [
"tf_board = tf.keras.callbacks.TensorBoard(\n",
" log_dir=\"./log_dir\",\n",
" histogram_freq=100,\n",
" write_graph=False,\n",
" write_images=False,\n",
" write_steps_per_second=True,\n",
" update_freq=\"epoch\",\n",
" profile_batch=(20, 40),\n",
" embeddings_freq=0,\n",
" embeddings_metadata=None,\n",
")"
]
},
{
"cell_type": "markdown",
"metadata": {
"pycharm": {
"name": "#%% md\n"
}
},
"source": [
"Die Lernrate kann mit der nachfolgenden Methode gesenkt werden damit eventuelle Platues überwunden werden können."
]
},
{
"cell_type": "code",
"execution_count": 49,
"metadata": {
"pycharm": {
"name": "#%%\n"
}
},
"outputs": [],
"source": [
"reduce_learning_rate = tf.keras.callbacks.ReduceLROnPlateau(\n",
" monitor=\"some metric\", factor=0.2, patience=3, min_lr=0.001, verbose=1\n",
")"
]
},
{
"cell_type": "code",
"execution_count": 50,
"metadata": {
"pycharm": {
"name": "#%%\n"
}
},
"outputs": [
{
"data": {
"application/vnd.jupyter.widget-view+json": {
"model_id": "0e9e9175dfe14e5280b5c25ecf51d1a4",
"version_major": 2,
"version_minor": 0
},
"text/plain": [
" 0%| | 0/3 [00:00<?, ?it/s]"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 1260x1800 with 4 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"plt.figure(figsize=(17.5, 25))\n",
"np_array = np.flip(collected_routes[1, :, :, :], axis=0)\n",
"\n",
"for chanel in tqdm(range(3)):\n",
" plt.subplot(1, 4, chanel + 1)\n",
" plt.imshow(np_array[:, :, chanel], interpolation=\"nearest\")\n",
"plt.subplot(1, 4, 4)\n",
"plt.imshow(0x88 * np_array[:, :, 0] + 0xFF * np_array[:, :, 2], interpolation=\"nearest\")\n",
"plt.show()"
]
},
{
"cell_type": "markdown",
"metadata": {
"pycharm": {
"name": "#%%\n"
}
},
"source": [
"### Train Validate Test split\n",
"\n",
"Der Datensatz wird in Trainingsdaten, Validationdaten und Testdaten unterteilt. Folgenden Anteile werden ausgewählt:\n",
"\n",
"* $60\\%$ Trainingsdataen\n",
"* $20\\%$ Validationdaten\n",
"* $20\\%$ Testdaten\n",
"\n",
"Das Dataset von tensorflow ist theoretisch noch zu viel mehr im stande. Zum beispiel könnte man es nutzen um alle Datensätze zwei mal pro Epoche aufzurufen und einmal zu Vertikal zu Spiegeln. Dies würde die Datenmänge verdoppeln ohne den RAM zusätzlich zu belasten. Dies sprängt hier aber leider etwas den Rahmen."
]
},
{
"cell_type": "markdown",
"metadata": {
"pycharm": {
"name": "#%% md\n"
}
},
"source": [
"Compiliert das model und initialisiert die Schichten."
]
},
{
"cell_type": "code",
"execution_count": 52,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Epoch 1/100\n",
"298/298 [==============================] - 44s 126ms/step - loss: 0.0322 - binary_crossentropy: 0.0322 - mean_squared_error: 0.0064 - mean_absolute_error: 0.0205 - val_loss: 0.0217 - val_binary_crossentropy: 0.0217 - val_mean_squared_error: 0.0031 - val_mean_absolute_error: 0.0042\n",
"Epoch 2/100\n",
"298/298 [==============================] - 38s 126ms/step - loss: 0.0123 - binary_crossentropy: 0.0123 - mean_squared_error: 0.0029 - mean_absolute_error: 0.0057 - val_loss: 0.0186 - val_binary_crossentropy: 0.0186 - val_mean_squared_error: 0.0030 - val_mean_absolute_error: 0.0040\n",
"Epoch 3/100\n",
"298/298 [==============================] - 41s 137ms/step - loss: 0.0116 - binary_crossentropy: 0.0116 - mean_squared_error: 0.0028 - mean_absolute_error: 0.0056 - val_loss: 0.0125 - val_binary_crossentropy: 0.0125 - val_mean_squared_error: 0.0029 - val_mean_absolute_error: 0.0044\n",
"Epoch 4/100\n",
"298/298 [==============================] - 40s 135ms/step - loss: 0.0113 - binary_crossentropy: 0.0113 - mean_squared_error: 0.0028 - mean_absolute_error: 0.0055 - val_loss: 0.0228 - val_binary_crossentropy: 0.0228 - val_mean_squared_error: 0.0031 - val_mean_absolute_error: 0.0050\n",
"Epoch 5/100\n",
"298/298 [==============================] - 38s 129ms/step - loss: 0.0110 - binary_crossentropy: 0.0110 - mean_squared_error: 0.0027 - mean_absolute_error: 0.0055 - val_loss: 0.0131 - val_binary_crossentropy: 0.0131 - val_mean_squared_error: 0.0028 - val_mean_absolute_error: 0.0044\n",
"Epoch 6/100\n",
"298/298 [==============================] - 38s 126ms/step - loss: 0.0108 - binary_crossentropy: 0.0108 - mean_squared_error: 0.0027 - mean_absolute_error: 0.0054 - val_loss: 0.0132 - val_binary_crossentropy: 0.0132 - val_mean_squared_error: 0.0028 - val_mean_absolute_error: 0.0048\n",
"Epoch 7/100\n",
"298/298 [==============================] - 36s 122ms/step - loss: 0.0105 - binary_crossentropy: 0.0105 - mean_squared_error: 0.0027 - mean_absolute_error: 0.0054 - val_loss: 0.0167 - val_binary_crossentropy: 0.0167 - val_mean_squared_error: 0.0029 - val_mean_absolute_error: 0.0046\n",
"Epoch 8/100\n",
"298/298 [==============================] - ETA: 0s - loss: 0.0103 - binary_crossentropy: 0.0103 - mean_squared_error: 0.0027 - mean_absolute_error: 0.0053Restoring model weights from the end of the best epoch: 3.\n",
"298/298 [==============================] - 36s 120ms/step - loss: 0.0103 - binary_crossentropy: 0.0103 - mean_squared_error: 0.0027 - mean_absolute_error: 0.0053 - val_loss: 0.0144 - val_binary_crossentropy: 0.0144 - val_mean_squared_error: 0.0028 - val_mean_absolute_error: 0.0045\n",
"Epoch 8: early stopping\n"
]
}
],
"source": [
"if 'generator' in globals():\n",
" # myVar exists.\n",
" print(\"Generator exists. Deleting for reset\")\n",
" del generator\n",
"\n",
"generator = model_generator()\n",
"early_stop = tf.keras.callbacks.EarlyStopping(\n",
" monitor=\"val_loss\",\n",
" min_delta=0.00001,\n",
" patience=5,\n",
" verbose=2,\n",
" mode=\"auto\",\n",
" restore_best_weights=True,\n",
")\n",
"\n",
"generator.compile(\n",
" optimizer=tf.keras.optimizers.RMSprop(),\n",
" # Loss function to minimize\n",
" loss=\"binary_crossentropy\",\n",
" # tf.keras.losses.SparseCategoricalCrossentropy(),\n",
" # List of metrics to monitor\n",
" metrics=[\n",
" \"binary_crossentropy\",\n",
" \"mean_squared_error\",\n",
" \"mean_absolute_error\",\n",
" ], # root_mean_squared_error\n",
")\n",
"\n",
"history = generator.fit(\n",
" collected_routes[:, :, :, :2],\n",
" collected_routes[:, :, :, 2],\n",
" validation_split=0.2,\n",
" epochs=100,\n",
" use_multiprocessing=False,\n",
" workers=1,\n",
" callbacks=[early_stop, tf_board, tf.keras.callbacks.TerminateOnNaN(),],\n",
" # tqdm_callback,\n",
")"
]
},
{
"cell_type": "code",
"execution_count": 53,
"metadata": {
"pycharm": {
"name": "#%%\n"
}
},
"outputs": [
{
"data": {
"image/png": 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tcyil4pYmjjBL8iRwVB+tcyil4pcmjggI+H0sWb+NbdV1boeilFJhp4kjAgJ+H8bA7JItboeilFJhp4kjAob0zsGbKFrnUErFpYgmDhEZJSLfiMhyEbmnlfeTRWSS8/4MESlwjp8iIrNFZKHzeFKzaz5x7jnP+eoaye9hf6QmJXJEfhdmrtJ1q5RS8SdiiUNEEoHxwE+Aw4CLROSwFqddBWwxxhwIjAP+4hzfCJxhjBkEXA682OK6S4wxg52vDZH6Htoj4PexoHQrO2ob3A5FKaXCKpItjgCw3Biz0hhTC7wCjG5xzmjgeef5FOBkERFjzFxjzDrn+GIgVUSSIxhr2AX8PuobDXPXaJ1DKRVfIpk4egHfNXtd6hxr9RxjTD2wFchtcc65wBxjTPOp2M863VT3ioiEN+zwGNo3hwRB6xxKqbgT1cVxETkc2311bbPDlzhdWCOcr7F7ufYaESkWkeKysrLIB9tCVoqXw3pm6XwOpVTciWTiWAv0bvY63znW6jki4gGygU3O63zgDeAyY8yKpguMMWudx+3AP7FdYnswxjxljCk0xhTm5eWF5RsKVaAglzlrtlBb3+jK5yulVCREMnHMAg4SEb+IJAEXAlNbnDMVW/wGOA/4yBhjRKQL8DZwjzHm86aTRcQjIgc4z73A6cCiCH4P7RLw+6ipb2Th2nK3Q1FKqbCJWOJwahY3Ae8DS4HJxpjFInK/iJzpnDYByBWR5cAdQNOQ3ZuAA4HftRh2mwy8LyILgHnYFss/IvU9tNewghxA6xxKqfgixhi3Y4i4wsJCU1xc7Mpnn/LQp/TKSeW5K1vtUVNKqaglIrONMYUtj0d1cTweBPw+iku20NAY/wlaKdU5aOKIsIDfR0VNPUvWbXM7FKWUCgtNHBFW5LfTUmbo8iNKqTihiSPCumen0Dc3TedzKKXihiaODhAo8DGrZDONWudQSsUBTRwdIOD3saWqjuVlFW6HopRS7aaJowPsqnNod5VSKvZp4ugAvX2pdM9K0TqHUiouaOLoACJCwO9j5qpNdIYJl0qp+KaJo4ME/D5+2FbDms1VboeilFLtoomjgxT5fYDWOZRSsU8TRwc5sGsGvvQkrXMopWKeJo4OIiIMK8jRxKGUinmaODpQwJ/Lms1VrN+6w+1QVCh2bIF5L4MObFAK0MTRoZrqHNrqiDEfPQD/ug6+ecftSJSKCpo4OtCAHllkJHs0ccSSig0w9yX7/JM/a6tDKTRxdKjEBKFQ6xyxZcYTUF8Dx90B3y+AZe+7HZFSrtPE0cECfh/fbqhgU0WN26GofaneBrOehgFnwIm/hpwC+FRbHUpp4uhgTXWOWSVbXI5E7dPs56B6Kxx3GyR6YcSdsG4ufPuh25Ep5SpNHB1sUK8uJHsStLsq2tXXwJfjwX889Bpqjx15EWT3gU//oq0O1alp4uhgSZ4EjuqTw8wS3REwqs1/BSq+h+Nu33Us0Qsj7oC1xbDiv+7FppTLNHG4IOD3sWTdNrZV17kdimpNYwN8/gj0GAz9Ttj9vcGXQFY+fKKtDtV5BZU4RORWEckSa4KIzBGRUyMdnOvqqiNy2yK/j0YDs1drnSMqLf03bF5hWxsiu7/nSYIRt0PpTFj5iSvhKeW2YFscPzPGbANOBXKAscCfIxZVNDAG/nkBvHY1VG4M662H9MnBkyBa54hGxsD0ceDrb0dTtWbIWMjsqbUO1WkFmzia/uw6DXjRGLO42bH41NgAfYbD4jdgfAAWTA7bL4nUpESOyM/WxBGNVn4C6+fBsbdCQmLr53iSbWtkzZdQ8llHRqdUVAg2ccwWkQ+wieN9EckEGiMXVhRI9MCJv4LrPgNfP3j9aph4PpSvCcvtA/5cFpSWs6O2ISz3U2EyfRxkdIcjL2z7vKMus+d9+teOiUupKBJs4rgKuAcYZoypArzAlRGLKpp0HQA/ex9G/QVWfwHjj4avnrAtknYo8vuoazDMXaN1jqixdjas+hSG32hbFW3xptj5HSWfQcnnHRKeUtEi2MQxHPjGGFMuIpcCvwW2Ri6sKJOQCEdfBzd+BX2Hw3t3wzM/hg1L9/uWQwtySBDd2CmqTH8YUrJh6BXBnT/0CkjvamsdSnUiwSaOx4EqETkSuBNYAbwQsaiiVZc+cMkUOPsp2LQCnhgBH//JThYLUVaKl8N6ZmmdI1ps/NaOphr2c0jJCu4ab6qthaz6FNZ8Fdn4lIoiwSaOemOMAUYDjxljxgOZkQsrionAkWPgpllw+Fl27aInR8J3M0O+VaAglzlrtlBbH9/lopjw+SO2e6routCuK/wZpOdpq0N1KsEmju0i8ivsMNy3RSQBW+fovNIPgHOfhosnQ00FTDgV3vmlfR6kgN9HTX0jC9eWRy5OtW/b1tmZ4kMuhYyuoV2blAbH3AwrPoLvZkUmPqWiTLCJYwxQg53P8T2QDzwYsahiycE/trWPwNUw8yn4+9Hw7X+CunRYQQ6gdQ7XfTkeTKNNAPuj8CpIy9VWh+o0gkocTrKYCGSLyOlAtTGm89U49iY5E0570I6+8qbBxHOdiYNtr0eVm5HMQV0ztM7hpqrNdhXcgefYZdP3R3IGDL8Jln8IpbPDGZ1SUSnYJUcuAGYC5wMXADNE5LxIBhaT+hTZeR/H3+1MHBwGC15tc+JgwO+juGQLDY06A9kVsyZAbQUce1v77hO4GlJzYJrO61DxL9iuqt9g53Bcboy5DAgA90YurBjmSbab/lw7DXL88PrP7dIl5d+1enrA76Oipp6l67d1cKCK2iqY8TgcdCp0H9i+eyVn2vkfy96ze3YoFceCTRwJxpgNzV5vCuHazqnbYXDVB3biYMnntvYx46k9Jg4GnI2dtM7hgrkvQdWm3ZdOb4/AtXYeyKda/lPxLdhf/u+JyPsicoWIXAG8Dbyzr4tEZJSIfCMiy0XknlbeTxaRSc77M0SkwDl+iojMFpGFzuNJza4Z6hxfLiKPirRcvjSKNE0cvOFL6F0E794Fz4yCDV/vPKVHdip9fGnMXKX7c3Sohjr44v/sf5c+w8Nzz5QsOPpG+OZtWL8gPPdUKgoFWxy/C3gKOML5esoYc3db14hIIjAe+AlwGHCRiBzW4rSrgC3GmAOBcUDTsJSNwBnGmEHA5cCLza55HLgaOMj5GhXM9+CqnL5w6WvOxMHl8MRx8Mmfob4WsK2Omas2Y3Sl1Y6z6HXYuqb1pdPbo+haSM7WWoeKa0F3NxljXjPG3OF8vRHEJQFguTFmpTGmFngFO4GwudHA887zKcDJIiLGmLnGmHXO8cVAqtM66QFkGWO+ciYkvgCcFez34KqmiYM3zoTDRsMnf3ImDs4i4PexpaqO5RuCnwOi2qGx0S5mmDcADvpxeO+d2sW2Mpf+G75fFN57KxUl2kwcIrJdRLa18rVdRPZVze0FNK8IlzrHWj3HGFOPXf8qt8U55wJzjDE1zvml+7hndMvIg/MmOBMHt8OEUxj13TjSqNY6R0f59gMoW2oXKUyIQKnu6OshOQumaa1Dxac2f2qMMZnGmKxWvjKNMUEu6LP/RORwbPfVtftx7TUiUiwixWVlZeEPrr2aJg4O+zmZ85/hvym/ZPuid92OqnOYPg6ye8PAcyNz/9Qc22W15M12LYSpVLSK5MiotUDvZq/znWOtniMiHiAbO2ILEckH3gAuM8asaHZ+/j7uCYAx5iljTKExpjAvL6+d30qEJGfCT/+G/Ow9JCmN60vvxry+74mDqh1WfwnffWVniSdGcNWco2+ApHRtdai4FMnEMQs4SET8IpIEXAhMbXHOVGzxG+A84CNjjBGRLtiRW/cYY3ZudmCMWQ9sE5GjndFUlwFvRvB76Bh9jua/J7zOI/Vn26JtEBMH1X6aPs4uDzJkbGQ/J80HgWvsf8+ybyL7WUp1sIglDqdmcRPwPrAUmGyMWSwi94vImc5pE4BcEVkO3IHdLArnugOB34nIPOerafW5G4CngeXY5d3jon9nWP/ujKs/nw+Om2yXvtjHxEG1H35YDN++b1fATUqL/OcNv8kuQaOtDhVnpDMMAS0sLDTFxcVuh9GmxkbD0Ac+5EcDuvHguQNhxpPw0f8DSYCTf2/3iYhEIbczef0aWPoW3L7Itgg6woe/s/NFbpwJBxzUMZ+pVJiIyGxjTGHL4/qbKEokJAjDCnzMLNlsJw4OvwFu+Ap6B+zEwWd3nzioQrRlNSycAoVXdlzSABh+M3hSYNrfOu4zlYowTRxRJOD3sXpTFd9vrbYHcvrCpa/DWU/AxmXw5Aj45C87Jw6qEHz5mG29HX1Dx35uRp7d7GnhZLtrpFJxQBNHFCny2yksM0uazecQgcEXwY2zYMAZ8Mn/7Jw4qIJUUQZzXrATMLNdmPZzzC2QmASf/W/Hf7ZSEaCJI4oM6JFJRrKHGStbGY6bkQfnPQMXTYKabTDhFHj3npB2HOy0Zj5p94U/5lZ3Pj+zm211zH8FNq9yJwalwkgTRxTxJCYwtG9O2xs7HTLK1j6GXWWXBP/7cFge3I6DnVLNdrsz44DTIe9g9+I45hZI8GirQ8UFTRxRJuD38e2GCjZV1Oz9pJQs+On/wpXv2f0/XjoXXr9WJw62ZvZzUL0Vjg3T0un7K6sHDL0C5r9sC/VKxTBNHFGmyNmfY1bJln2f3Hc4XDcdRt4Fi6bA34tg4/IIRxhD6mvsfuL+kZA/1O1o4NhbbYF++kNuR6JUu2jiiDKD8rNJ9iQEvw+5NwVO+i1c84ndJGrSpVr3aLJgEmxfH76NmtoruxccdRnMnagTO1VM08QRZZI9iQzp04WZJSF2O3UfZIvnG7+BqTfpciWNDfD5I9DjSOh3otvR7NK0t/n0ca6GoVR7aOKIQkX+XJas28a26rrQLux/Ipz8O1j8hp230Jl9/ZbdNOvY28K7UVN7dekNQy6FuS/C1lbX51Qq6mniiEJFfh+NBmavDqLO0dKxt8GAM+HD38OqaWGPLSYYY/+iz/HbTbOizXG3g2mEzx92OxKl9osmjig0pE8OngQJvs7RnAic9XfI7Q+vXglbS/d9TbxZ9Smsm2uL0QmJbkezp5y+MPhimP08bFvvdjRKhUwTRxRKTUrkiPzs/UscYPf5GDPRjiqafJl97Eymj4OMbnDkRW5HsnfH3QGN9bYOo1SM0cQRpQL+XBaUlrOjtmH/bpB3sG15rJ0N7/4yvMFFs7VzYOUndk0qb4rb0eydz28T2+xnYfsPbkejVEg0cUSpIr+PugbD3O/2o87R5LAzbX/67OfsWk2dwecPQ3K2XeIj2o24Axrq4ItH3Y5EqZBo4ohSQwtyEGH/u6uanHQv9DsB3v6FbX3Es43LYclUuxxLSpbb0exbbn844gKYNcEuxKhUjNDEEaWyUrwc1iOr/YkjIRHOfQYyusKky6ByY3gCjEZfPGJXoT36ercjCd6IX0BDjbY6VEzRxBHFAn4fc9Zsoba+sX03Ss+FMS9CZRlM+Rk01IcnwGiybR3Me9nOkcjouu/zo8UBB8LA82DW0/Gd1FVc0cQRxYr8PqrrGlm4dmv7b9ZzCJz+kB2q+tH97b9ftPnq72Aa4Jib3Y4kdCPvgrodOmlTxQxNHFFsWIFd8LDd3VVNhlxqi8afPwJL3gzPPaPBji1Q/Cwcfo4drRRr8g6GgefAzH9AVZj+WysVQZo4olhuRjIHds1g5qowLpc+6s/QqxD+dUP87GE+62morYDjbnM7kv038i6orbSr+SoV5TRxRLmA30dxyRYaGsO0aKEnGS54AbypMOkSqN4Wnvu6pbYKvnoCDjzFLvQYq7oOsMujzHhSWx0q6mniiHJFfh/ba+pZuj6Mv+Cze8H5z9ltTP91PTS2s/jupnkToWpj9Cyd3h7H/xJqt8OMJ9yORKk2aeKIcmGvczQpOA5O/X92FdnPY3SJ74Z6O4w1PwB9j3E7mvbrdjgMOMO2oHaUux2NUnuliSPK9eySSm9favgTB9hlOQaeCx89AMv/G/77R9riN6B8jW1tRNPS6e0x8pdQs9V2Wano8s178NDh8ORIWDglPoe1B0kTRwwIFOQys2QzJtybM4nAmf8HeYfCa1fF1l7YTUun5x0KB49yO5rw6XEEHPJT+Gq83Stdua+2Ct6+E14eAynZ9vVrV8FjQ+1IuLodbkfY4TRxxIAiv4/NlbWsKIvAlrBJ6TDmJVvnmDw2dn4Ivv0QNiy2+48kxNn/xsf/0iaNmU+5HYn6fiE8dYIduTf8JrjmY7hxpl19Oj0P3vkFjBsIn/61Uw1qiLOfuPgU8Ns6x1crI/Q/Zm5/OOcpWD8f3rojNradnT4OsvJh0HluRxJ+PQfbVtSX46Fmu9vRdE6Njfbf/x8n2SQ+9g348R/tqMSEBBhwOlz1IVzxDvQaCh//0SaQ937VKfaT18QRA/rmptE1MzkydY4mh4yC4++G+f+E4gmR+5xwWPMVrPnCzhJP9LodTWQc/0s7sXHmP9yOpPPZ/j1MPBfe/7Ud5n39F9D/pD3PE4GCY+GSyfacAWfYVuKjg+H1a+GHJR0eekfRxBEDRISA38fMVRGoczR3/D1w0Knw7j3w3czIfU57TX8YUn1w1Fi3I4mcXkPtL60v/g9qItBFqVr39Tvw+DGw+ks4fRxcONGu9bYv3Q6Hc56EW+ZB4BpY+m94fDhMvABKPo+NVnwINHHEiCK/j++3VfPd5gjWIBISbJdVdi+7c2A0bjD0wxJY9i4UXWfrM/Hs+Lthx+bobwHGg9oqeOt2eOUiyOoJ135ql+cJdbRel94w6k9w+yI48TewthieOw0mnAJL34rtOVPNaOKIEQG//atnRjiXH2lNao4tlu8ohylX2o2Gosnnj4A3HQJXux1J5PUeZrtIPn/ULkeiImP9AlsAL37Gdn/+/L+Qd0j77pnms92Nty2C0/4GFRvsSg3jA3ZTtRjfzlkTR4w4qGsGXdK8ka1zNOk+CM58FFZ/Dh/+LvKfF6zyNbDwVRh6hf3B7AyOv8fOjC9+1u1I4k9jI3zxGDx9MtRsg7H/glMfsAXwcElKs3/k3DwHzp1gl/qZejM8cqT9IyhGl/zRxBEjEhKEYQU+ZpZ00JC/Iy6w3UFf/d1OdooGXzwGkgDDb3Q7ko7Tpwj8x9tfMrVVbkcTP7ath5fOgQ9+Y+t6138B/U+M3OcleuwIwGun2RFaBxxs/ygbdzh8+HtbkI8hmjhiSJHfx+pNVXy/tbpjPvDUB6DPcHjzJvh+Ucd85t5UbrRN/CPG2BpMZ3LCPVC5AeY873Yk8eHrt20BfM1XcPrDtmu2o1qwIrb78fKpcM0ncODJdtmchwfB1Fvs9scxQBNHDCly6hwd1upI9NrFEFOyYdKl7q6fNONJqK+GY29xLwa39D0GCkbY0WR1HfRHQzyqrYJ/3wavXGyL2NdOg8Ir3VuupucQ+/N1U7HdK2f+K/BYof1ZK53tTkxB0sQRQwb0yCQj2RPe/Tn2JbO7XYZ9aym8fo07o0Jqttvx8Yf+tP1Fy1h1/N1Q8b1tdanQrZ8PTx0Ps5+DY2+Fq/5jN9CKBrn97dDf2xfBiDth1TR4+iR47nS7QkIUDuWNaOIQkVEi8o2ILBeRe1p5P1lEJjnvzxCRAud4roh8LCIVIvJYi2s+ce45z/mKoQ2m28eTmMDQvjkdUyBvrk+RHWL47fsw7a8d+9kAs5+H6nK7vEhnVXAc9DnGzpiP8RE5Haqx0Y5K+8fJ9g+Qy96EU+4HT5Lbke0poyucfC/cvhh+/D+weSVMPA+eOA4WTI6qEY4RSxwikgiMB34CHAZcJCKHtTjtKmCLMeZAYBzwF+d4NXAv8Iu93P4SY8xg52tD+KOPXgG/j2U/VLC5srZjP3jYz+HIi+CTP8Oy9zvuc+tr7F7cBSPs8NTOSgROuBu2r4O5L7odTWzYth5eOhs+vBcO/rEtgPc73u2o9i050w4AuWUenPU4NNbD61fDo0fZJfejYGh2JFscAWC5MWalMaYWeAUY3eKc0UBTxW8KcLKIiDGm0hgzHZtAVDNFzrpVszqqztFExDanuw+0/xNvWtExn7tgMmxfH9vbwoaL/3joXQSfaatjn5a+ZWdufzcTzni0Ywvg4eJJgsEXw/VfwkWT7KCQ9+62a2J9/Ceo7MAu6xYimTh6Ac1X+yp1jrV6jjGmHtgKBDG/n2edbqp7RVqvbInINSJSLCLFZWVloUcfpQblZ5PsSej47iqwY9DHvAQITBob+b98GhvsMNTug6D/yZH9rFggYmsd20ph3j/djiY61VbCv2+1k+269LUF8KGXx/Z+LQkJdi25n70HP/sA+hwNn/7ZDuV95y5XtkOIxeL4JcaYQcAI56vVBYuMMU8ZYwqNMYV5eXkdGmAkJXsSGdKnizuJAyCnAM6bABuW2B/QSBbuvn4bNn0bXxs1tVf/kyB/GHz2ENR3cHdltFs3D5483tbEjr3Vrl57wEFuRxVefYrgopft0u4Dz7UTQx8dAq/93C4B30EimTjWAr2bvc53jrV6joh4gGygzfaXMWat87gd+Ce2S6xTCfhzWbxuK9urXSqWHfgjOOk3dhZ3pPbHbtqoKccPA1r2cHZiTa2OrWtgwStuRxMdGhtty/TpH9kWRzQXwMMl7xA4azzcOh+G3wDfvGuL6C+eY0dlRXgkViQTxyzgIBHxi0gScCEwtcU5U4HLnefnAR+ZNpZ/FRGPiBzgPPcCpwMuz0zreEV+H40GZq/e4l4Qx91pd6r74Ld29c9wWzUN1s2x8zYSPeG/fyw78EfQ8yiY9reoGmnjim3r4MXRdhb2IaPg+s9jowAeLtm97ETd2xfDyb+zrY7nz7D7iCz+l+3ujYCIJQ6nZnET8D6wFJhsjFksIveLyJnOaROAXBFZDtwB7ByyKyIlwEPAFSJS6ozISgbeF5EFwDxsi6XTbVgwpE8XPAniXncV2H7Xsx+3XVevXmFHsITT9HGQ3hWOvDi8940HTa2O8tV28EBntfTfdgZ4abHdAvmCF2OvAB4uqV3sHJDbFtrZ8NXl8Orl8Niw8P9sAhLR/R2iRGFhoSkuLnY7jLA6+++fkyjClOuPcTeQDUvtGPluh8MVb4ene2DdXLta6Y/us/UNtSdj7IS26m125nFnapXVVtqd9uY8Dz0G28UDDzjQ7aiiS2ODTazL3rNDevezRigis40xhS2Px2JxXGHnc8wvLae6LjJN0aB1HWD7Wktnwvu/Cs89pz8MyVl2PwTVuqZWx5ZVttbUWaybC0+OtDPoj7vdKYBr0thDQiIcfhac/UREBpZo4ohRRX4fdQ2GuWvK3Q4FDj/b7mMw6+n2DxPdtAKWvAnDrrJrZKm9O+Q06DYIpj0Ysb7sqNHYaP+gePoUu+bU5VNtizSeC+BRTBNHjBra14cI7tY5mjv5Pju7+63b7bDI/fX5I5CYBEXXhyuy+CViNwvavAIWveZ2NJGzdS28cCb85/dw6Gm2AO4f6XZUnZomjhiVneplQPcsZpa4N3t0N4keOO9ZSMu1kwOr9iOhbf8e5r8MQy6BzG7hjzEeHXo6dD08flsdS6baAvjaOXDmY3D+8523AB5FNHHEsIDfx+zVW6itj5J9jDPy7MiWiu/htatC/0X21d/tujzH3ByZ+OJRQgIcfxdsXAaL33A7mvCpqbD7wEweCz4/XPcZHDVWJ4JGCU0cMazI76O6rpGFa7e6Hcou+UPhtAdhxUfw8R+Dv25HOcx6xtZLfP0iFl5cGjAa8g51Wh1R8kdEe6ydYwvgc1+C4+6wBfDc/m5HpZrRxBHDhjkLHkZNnaPJ0CvgqMvgs/+1i80Fo3gC1G7v3Eun76+EBBh5F5R9DUvfdDua/dfYYJdSmXCK3bTrirfgR7+3G4qpqKKJI4YdkJFM/7z0jt3YKVg/edDucPbGdbDx27bPrdsBXz1uZ0T3OKJj4os3h59t97H+NEZbHVvXwguj4b9/sHWb6z+3e5CoqKSJI8YF/LkUl2yhoTHKJnJ6U2y9w5MEr1xiN9HZm3kTobJMJ/u1R0KibXVsWAxfB9nKiwbG2KUxmgrgo8fb7VRTc9yOTLWhE003jU9Ffh8vz1zD0vXbGNgryuY9dOltR1q9eBa8eaMdEdOyuNlQb3doyx8GfY91Jcy4MfBc+PQv8OlfYcAZoReSjbFrX9XvsHub73x0vup2BPkYwrX1zpY7PY+Cc5/WWkaM0MQR4wLN6hxRlzjALjj3o/vsInRfPGqXu25uyb/smkuj/qQjZtorIRFG/AL+dZ1N1EkZuyeB+pq9/HJv9mj2t5tL7H4tnpTWH9NybSvUk7rr0ZNs38vqCYMv0VpGDNHEEeN6dkklPyeVmas287Pj/G6H07pjboG1s+E/99m1hZpWL21aOv2AQ+Dgn7gZYfwYdL5d6n7hlBa/qFN2/RJPyoD0vL38km/xy73Vx5Q9r01M0sTfiWjiiAMBv49PvinDGMNeNkR0l4jtu97wNUy5Eq751HZjLf8P/LDILsKWoOW2sEj0wLWfuh2FinP60xoHivw+NlfWsqKswu1Q9i45Ey6caHetmzzWdo1MHwdZ+TDwPLejU0qFQBNHHCjy223aZ0TbfI6WDjjIrta5bi5MPA9Wfw7H3KQL1SkVYzRxxIG+uWl0zUyOvomArRlwut1wpuQzO+TyqMvcjkgpFSKtccQBESHg9zFj5eborXM0d+Jv7AZEvQOQlO52NEqpEGniiBNF/XJ5a8F6jvzDB/TLy6B/Xgb98tLpn5dB/7x0+uamk+SJkgZmQiL89G9uR6GU2k+aOOLEuUf1orHR8O2G7awsq2T68jJem1O68/3EBKF3TupuCaWfk1R86UnR30pRSkUNTRxxIi3Jw+XHFOx2bHt1Has2VrKyrJIVZRU7H6cv30hNs6XYs1O99M9Lp1+LVkofXxS1UpRSUUMTRxzLTPFyRH4XjsjvstvxhkbDuvIdrCirYEVZJSvLKlhRVsG0ZWVMmb17K6WPL21nUtn1mIEvXUdCKdVZaeLohBIThN6+NHr70jjhkN3f215dx8qySlZurGDFhl2P05ZtpLZhVyulS5rXdncdkE7/rrse+/jS8CZqK0WpeKaJQ+0mM8XLkb27cGTvLrsdb2g0rN2ygxUbK1ixoYKVGytZsaGCT5aV8WqzVoonQeiTm0a/AzLo3zWd/s5jvwMyyNFWilJxQROHCkqikxD65KZx4iFdd3tv6w5bS7EJZVdLZdqyst1aKb70JPodkL6zjtI9O4UuaUl0SfWSk5ZEdpqXzGQPCQlaqFcqmmniUO2WneplcO8uDG6llVK6pWq3wvyKsko++noDk4tLW71Xgtj7dUlLch69dHFeN3+e3fx4qpesVC+JmnCU6hCaOFTEJCYIfXPtHJKTDt39va076ijbXsPWHbVsqayjfEcd5VW1bN1RR3nVrtebK2tZWVZJeVUt26rr2/y8rBQPOek2kWQ7CaUp2TS9zkn3kp26Kwllp3rxaE1GqZBo4lCuyHZ+aYeivqGRbdX1lFfVUr6jjq1VdZTvqLWJpqqOrTvq2FJVuzPxrNlUac/bUYdpY4PEzGSPbcGkeenSlFSaPW+KNTPFS2aKh4xkDxkpHjJTPCR7Etv5L6FU7NHEoWKGJzEBX3pSyEOBGxsN26vrdyaZLc1bNk7y2dqslbNu6w7nvVr2tSNvUmICGU3JxEkoWc2SS0byrmSzW9JJ9u68ziagBJ2EqWKGJg4V9xIShOw0L9lpXvrmBn9dY6OhorbeJpWqOipq6tlebR/t8/pdx6p3HVu/tXq39+oa9r0fvDdR9kg2mTtfNyUbD5kp3t1e70o+Xk1AqsNo4lBqLxIShKwUL1kpXnr79v8+NfUNuyWWpqRSUWMTzram17udU8f326qpKLPHt9fUU1u/721dPQlCRoqH9CQP6cmJpCfb52lJiWQke0hLTnTea37MQ3pSs3OTneNJiaQleXTQgdqDJg6lIizZk0hyRiK5Gcntuk/LBNSUbLY7CWh70+vqeipr66msqaeqtoHKmnrKttdQWWtfVwSZhJqkehNJT7ZJJN1JMmnJHjKcY01Jpvl7zRPXzgTlHEv1JmqrKMZp4lAqRoQrAQHUNTTuTCpVtfVU1tjnlbUNVNXapFRV07AzAVXWNlDlPFbW1LN1Rx3ry3fsfK+ypp76fRWEHCLs0QpKS9qz1bPbY4vWUVMSakpcKV7toutImjiU6oS8iQlkpyaEPLKtLTX1Dc2SjX2sqrEtnKraXQmmeQKqbJa8NlbUsnpz1W4JK8hctFsyamrlNLV6Wks2O5NU8p7XNHXVacto7zRxKKXCItmTSLInMWxLyxhjqKlv3NXl5iSk5i2kpoRUtVtrqel1PZsqa1mzuWpnF11VbQMNIbSM0rytJ560pERSkxJ3Jpum56lJHtKcrr3UpvO8uxJTalIiad7EmJ87pIlDKRWVRIQUbyIp3kRCGAzXpqZktKubrlmLqCkpNSWiZsmo6b2KGjuPaF15A1XOe1W1DbttUxCMJE+CHXzgtckk3WnhNA1ISGueiJJ2P56a1Np5TgLzJnbIkj2aOJRSnUbzZBTOrQEaGg1VtfXsqG1KKLuSSlVtAzvqnOc1znt19tzKmmbv1TZQVlFDVW1Vs/vUBzWcu7kUb8JuSeXNG48jNSm8E1UjmjhEZBTwCJAIPG2M+XOL95OBF4ChwCZgjDGmRERygSnAMOA5Y8xNza4ZCjwHpALvALca09a8YKWUiqzEBHHm0oSvZtSkaSDDjhbJqClRVdY2sKPF8V3nN0RkM7aIJQ4RSQTGA6cApcAsEZlqjFnS7LSrgC3GmANF5ELgL8AYoBq4FxjofDX3OHA1MAObOEYB70bq+1BKKTdFYiBDe0WyQhMAlhtjVhpjaoFXgNEtzhkNPO88nwKcLCJijKk0xkzHJpCdRKQHkGWM+cppZbwAnBXB70EppVQLkUwcvYDvmr0udY61eo4xph7YCm3WwXo592nrngCIyDUiUiwixWVlZSGGrpRSam9ie0xYG4wxTxljCo0xhXl5eW6Ho5RScSOSiWMt0LvZ63znWKvniIgHyMYWydu6Z/4+7qmUUiqCIpk4ZgEHiYhfRJKAC4GpLc6ZClzuPD8P+KitEVLGmPXANhE5WuyUzsuAN8MfulJKqb2J2KgqY0y9iNwEvI8djvuMMWaxiNwPFBtjpgITgBdFZDmwGZtcABCREiALSBKRs4BTnRFZN7BrOO676IgqpZTqUNIZpkAUFhaa4uJit8NQSqmYIiKzjTGFLY/HbXFcKaVUZHSKFoeIlAGr9/PyA4CNYQwnkmIpVoiteGMpVoiteGMpVoiteNsba19jzB7DUjtF4mgPESlurakWjWIpVoiteGMpVoiteGMpVoiteCMVq3ZVKaWUCokmDqWUUiHRxLFvT7kdQAhiKVaIrXhjKVaIrXhjKVaIrXgjEqvWOJRSSoVEWxxKKaVCoolDKaVUSDRx7IWIjBKRb0RkuYjc43Y8bRGRZ0Rkg4gscjuWfRGR3iLysYgsEZHFInKr2zG1RURSRGSmiMx34v2D2zHti4gkishcEXnL7Vj2RURKRGShiMwTkahe3kFEuojIFBH5WkSWishwt2PaGxE5xPk3bfraJiK3he3+WuPYk7N74TKa7V4IXNRi98KoISIjgQrgBWNMyx0To4qzGVcPY8wcEckEZgNnRfG/rQDpxpgKEfEC07HbFX/lcmh7JSJ3AIXYTc9Odzuetjhr0hUaY6J+Qp2IPA98Zox52lm4Nc0YU+5yWPvk/D5bCxQZY/Z3IvRutMXRumB2L4waxphp2EUio54xZr0xZo7zfDuwlL1sxhUNjFXhvPQ6X1H715aI5AM/BZ52O5Z4IiLZwEjswqwYY2pjIWk4TgZWhCtpgCaOvQlm90LVTiJSAAzB7h8ftZyun3nABuBDY0w0x/sw8Eug0eU4gmWAD0Rktohc43YwbfADZcCzTjfg0yKS7nZQQboQeDmcN9TEoVwhIhnAa8BtxphtbsfTFmNMgzFmMHbjsICIRGV3oIicDmwwxsx2O5YQHGeMOQr4CXCj0+0ajTzAUcDjxpghQCUQ1bVPAKdL7Uzg1XDeVxNH64LZvVDtJ6dW8Bow0RjzutvxBMvpmvgYGOVyKHtzLHCmUzd4BThJRF5yN6S2GWPWOo8bgDew3cTRqBQobdbanIJNJNHuJ8AcY8wP4bypJo7WBbN7odoPTrF5ArDUGPOQ2/Hsi4jkiUgX53kqdsDE164GtRfGmF8ZY/KNMQXY/2c/MsZc6nJYeyUi6c4ACZxun1OBqBwZaIz5HvhORA5xDp0MROWAjhYuIszdVBDBHQBj2d52L3Q5rL0SkZeBE4ADRKQU+L0xZoK7Ue3VscBYYKFTNwD4tTHmHfdCalMP4HlnZEoCMNkYE/XDXGNEN+AN+7cEHuCfxpj33A2pTTcDE50/JlcCV7ocT5ucZHwKcG3Y763DcZVSSoVCu6qUUkqFRBOHUkqpkGjiUEopFRJNHEoppUKiiUMppVRINHEoFcVE5IRYWOVWdS6aOJRSSoVEE4dSYSAilzr7dswTkSedhRErRGScs4/Hf0Ukzzl3sIh8JSILROQNEclxjh8oIv9x9v6YIyL9ndtnNNsHYqIz+14p12jiUKqdRGQAMAY41lkMsQG4BEgHio0xhwOfAr93LnkBuNsYcwSwsNnxicB4Y8yRwDHAeuf4EOA24DCgH3b2vVKu0SVHlGq/k4GhwCynMZCKXYK9EZjknPMS8Lqzr0MXY8ynzvHngVedNZt6GWPeADDGVAM495tpjCl1Xs8DCrAbSinlCk0cSrWfAM8bY36120GRe1uct7/r+9Q0e96A/twql2lXlVLt91/gPBHpCiAiPhHpi/35Os8552JgujFmK7BFREY4x8cCnzq7IZaKyFnOPZJFJK0jvwmlgqV/uSjVTsaYJSLyW+xOdglAHXAjdrOfgPPeBmwdBOBy4AknMTRfZXUs8KSI3O/c4/wO/DaUCpqujqtUhIhIhTEmw+04lAo37apSSikVEm1xKKWUCom2OJRSSoVEE4dSSqmQaOJQSikVEk0cSimlQqKJQymlVEj+P3EcvgZbNpqZAAAAAElFTkSuQmCC\n",
"text/plain": [
"<Figure size 432x288 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"plt.plot(history.history[\"loss\"])\n",
"plt.plot(history.history[\"val_loss\"])\n",
"plt.title('model loss')\n",
"plt.ylabel('loss')\n",
"plt.xlabel('epoch')\n",
"plt.legend(['loss', 'val_loss'], loc='best')\n",
"plt.show()"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"%load_ext tensorboard"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"%tensorboard --logdir log_dir"
]
},
{
"cell_type": "code",
"execution_count": 75,
"metadata": {},
"outputs": [],
"source": [
"def plot_predicted_data(model, data, tt: Literal[\"Test\", \"Train\"], pos=0):\n",
" plt.figure(figsize=(20, 25))\n",
" if tt == \"Train\":\n",
" pos = abs(pos)\n",
" else:\n",
" pos = -abs(pos) - 1\n",
" data = data[pos, :, :, :]\n",
" predicted = generator.predict(\n",
" np.expand_dims(\n",
" data[:, : , :2], 0),\n",
" verbose=\"0\",\n",
" steps=None,\n",
" callbacks=None,\n",
" max_queue_size=10,\n",
" workers=1,\n",
" use_multiprocessing=False,\n",
" )[0]\n",
" plt.subplot(1, 4, 1)\n",
" plt.imshow(data[:, :, 0] * 2 + data[:, :, 2], interpolation=\"nearest\")\n",
" plt.subplot(1, 4, 2)\n",
" plt.imshow(data[:, :, 0] * 2 + predicted[:, :], interpolation=\"nearest\")\n",
" plt.subplot(1, 4, 3)\n",
" plt.title(f\"Predicted head map for {tt} Nr: {abs(pos)}\")\n",
" plt.imshow(predicted[ :, :], interpolation=\"nearest\")\n",
" plt.show()\n",
" "
]
},
{
"cell_type": "code",
"execution_count": 80,
"metadata": {
"scrolled": false
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"(128, 128, 3)\n"
]
},
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 1440x1800 with 3 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"(128, 128, 3)\n"
]
},
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 1440x1800 with 3 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"(128, 128, 3)\n"
]
},
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 1440x1800 with 3 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"(128, 128, 3)\n"
]
},
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 1440x1800 with 3 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"(128, 128, 3)\n"
]
},
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 1440x1800 with 3 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"(128, 128, 3)\n"
]
},
{
"data": {
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\n",
"text/plain": [
"<Figure size 1440x1800 with 3 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"(128, 128, 3)\n"
]
},
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 1440x1800 with 3 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"(128, 128, 3)\n"
]
},
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 1440x1800 with 3 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"(128, 128, 3)\n"
]
},
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 1440x1800 with 3 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"(128, 128, 3)\n"
]
},
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 1440x1800 with 3 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"for i in range(10):\n",
" plot_predicted_data(generator, collected_routes, \"Train\", i)"
]
},
{
"cell_type": "code",
"execution_count": 79,
"metadata": {
"scrolled": false
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"(128, 128, 3)\n"
]
},
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 1440x1800 with 3 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"(128, 128, 3)\n"
]
},
{
"data": {
"image/png": 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SflPSP5vZtnDeH0r6oKTPmtnFknZIekOmEaLRqpJ60RtWadSiPHXufZ5N/ouwuSQR88VWOD8kZPPzyflxr3B7L3Rye3mrR1o25N7niuxxrkrqRW9Y5VGP8mJTSwnYunXJz8OSn5pP0nhbu1aS5PuTREwhEYu1qm1+vl2nzGIS1t1vlq5VNmU9z5e3lveqpVWkbqHaRt4Ic/dbJPX7FJ4z6v0CwDCoRQCqgnoEYFC5zI6IfG3/8Fldp095961jGkn5qpJ8pZWdgFX1dUBDhCSs/XN2TpJkSQC2lIyF3jCL/Rhx72/YS+2Li+3L2mlZvG5K3/6yYZOzznFkUJXkK63sBKyqrwMmn01PL6Xxa5Ia1Dr0kK7r+CEhlT+40P0z1BPbGxKy+Xl5SO7baVmoU/F0est5eXIWa9H0CvUqDj78bPWud4CUw+yIAAAAAIDBkYRVUDr5qlsyNkj/VF2SHnrA0ETL9hDH/ofQI6GQhNlU2I8XesQUZ02MsysuWHse7nZaNpP8t5Pu2bDp+ODd53urx77CeJ24ZlCfWc4G6Z+qS9JDDxiaxhcX1QqzH9rBJMWairVoJikYC+tC7ZlJakHrkCQpm9ofalioWbZ/uh1OtetTrB+pdN7TyVhIxDpnYFxWr/qsX+axP5ZEDD2wEVYDk7JRVidsfAFLhwj6wYPJGamNLUs3p4fpoy0cAeQ2teyLzrIvOOnHjM3y8XpTy68ZN8yWLptOXd59+NB0uNo7TqzHBlcnNr7QOHEjqeNvP9YNf/Kp5LJDkwk6pg4sdN3GQ4maPzKZsGN2T7iDqal2vWrvEDqQ1LX2YYrx4eNh2Oma1T5Mu+PKrVb7/jvHodTh1x4fgo0xdOBwRAAAAAAoEUlYDeWRjMWkp8iUigQMqCF3ycPe2rBXtxUOBbJ4CGHcuxv3LLcn8Aj/pYRDDm1mWh4P15nq3rsdm96vuvtGSdKbn/VvVh+bxQQsdQhQvO+4FzqMMz6Nd2x8Wbh+6nlWGAkYGqvz8L+YWoW/9dbevcnJkM7HZTLi3/5UmMBjOqTyviapRa21M5qKqVVrpus27XoR7zvUM09PONSZek13p+/xdPs+4+XxKIKYzvea9j7WyIrXJOSPJAwAAAAAStToJGxyUo9tkpaSp85krF8q1m/yjDqmV3mYnM8C6qhKqcd0v2atDnHvXWpfsGbDXuDfOOUVyfUOP6y92GrsmYj9ZbFX7KLn/rIk6TM/TBKx+bA3+C0n/e9d993VGxb3Oqf3RsfrtgcafuvoEVvqF6tmb0aVPgvAWHUmQ+Hv1Q+G1ComTHHijtlUuhUXlI+p/L86Wq3Dkj6x1mxSe6afitcJ9SSmVKHvzOMRANOpvKLVWqpBsb6Fx1GqhzXeZzpdM/elPrc4EZJIxJqGJAwAAAAAStTIJGxSU4+l57WtZyomLU/G0olYr9dmktOxKn4WJvn1Rrcqph6LPXbCptOxVupnFFOsT9x7syRprZnefMZrJUkWpo62uaRnoz11ffj5m6eeI0n65D03SZKu/NHfdz3GlKSLQzpmnuq7aE+h3z1DmcU9yrbUIxb7ydqzMFZkr3MVPwt1mb4fDZL+e00nZPH8AweSnyFxnzp4UFMbjpEktY4+XJK0eFiSYsU8fSqm5HGpjfTPjj4uS/WJxbTMpma7xxcSOY+JXLyvg/NLU+a3kzA0DUkYAAAAAJSocUlYFZOPIizNfth9fkzGVkvEet1X+rp115TPAqqpislHP73SMal//1hMr/a669PbviRJessLzk/ODD0UFvcQh+vGu3prSMQ+FdK0Th8P6Vjce9hOxmIfRr/ZEqMpk9qLP3fPADnORKxOnwWgkvr9/YakrLVvv6YeeFiSNLsQzjs8SecXD13TdZNYT2Iy1go9Yu2aoY6etNjXFddObK8lFnrGYq/YdCqln5mRxxStPWNirE2pYwwqktYjfyRhAAAAAFCixiRhTU09lqdYyc/VErF+t+99n2csu06VNfWzgGqYpNQjJmQrzah4MOzFvfKOr0iS1oa06k1nvEbSUiKmsL5P3DP4tp97laSlfolP3Pf19n3G/cQxGYuW1gPrTsSWrenTeR1Pd7aVZ5I+C0CltRbV2p/0ifmDSSI2dUgyW+LMM49Ozj8kqUGtw9dJkqZDEjY1F1L7vfuSn/v2tSdXba8lFhOx8HDt2RDj2oZx9sZ2Mjbd0cPavf5hRSduRQFIwgAAAACgRBObhJF29JbuFeuXiEXnbjhj1dey3+V1S8jGhddpsjUh7VipZyw9k+JiSJ6u3vZlSdKbXhhmTzzs0ORnnEUsJGO+P1kH6O3PfkU7DeuXXX18xz90ne7ZO9be69ynD6PB/RfMhoiJ1uqeSXExpOwxJ7cwe+L8MUmvmK9JLpnal5ye+llYP2y3qbV3b/J7TMJSdSP2iMUesPb6YLPh58xMOwmLMyu2EzDrPQMkJg9JGAAAAACUyLwCe/2OsPV+pp2Ty32RgA0nvZ5Yv0RMyvbaViHtqfpnowqvUVY3+fW3u/umcY9jVHnWoiYkYIPo1y8W9wAeGnvENl0gqaNHLPRQaF+ShPmBg+29z3EdsmG7uaaUJGpdPPZhpPY2F/h/Y9U/G5OQiFGLsKo4U2Ho35o6PFk/zI9LErHFI5JZE1shEZv9aVKLph7fK9/90+Q6jz+Z3FdrwLSq4zHj2oltsa8szLzYXpfMSenrbKVaRBIGAAAAACWamJ6wqqccVTVMj9hKa4lVWd3Gi3qrespRtn4zKMYU66mwl/ea278oSXrjL75O0tJsYgozmNn0tCz0Wbz9WS+XJF3xw28O9FjpxxwXPhtAhYRkKabgcT2wqYcelSRN65mSpMVnJv2qB9cnydXs7LSmDyRp1VSYcbG1f8AkLD5my7XCpLKSOvpW271i41/TEPkiCQMAAACAEtUuCSPVKEa/ROy+X9+c+b7H1etUt8/K0ntwxljHgcGQagxntURsb+ipuHrrFyRJb3pRSMRmkn6Mr9z+NT3ZSnoy9oZdw/uH3CH8jo0vk01352HtvosC1e2zEsc7Cb1hwKrSiVjo85oKtWGNJ4lYa23ylXnq8X3yg/Pd9zFkSmVTJs1330cV5mhAuWqxEVa3L9N1lt4Ye7YubR+amMf7UMZCz3xeUJS6fZmuon4bY/Pty8MU9t9ODk9802m/Ikk6/xf+Tbtx/ervfS25blgatX0g0OrH97Q3uq4MCz3HTbJ3nBg2OOKXKUvd2QhfkPi8ADUSp7APNWjxZ49LkqZD3Zk+en1y+ZTJ1iaTdmg+OSzRFlMT/PSbTKNdX5YORGvFDbrUwvFxwpD2ws/tHUZM1DEpOBwRAAAAAEpUqSSMBKM6lt6LbXq2LpW0lI71O2xulJQrz0Pw+PwgLyQY45OesOMv70gWdZ61KV3486+SJL3pBedJkq65M0nELnxOMpV3nNr5E2HCjnbKFRdrnp5u721OT9Lx8R8n7/k7Nr4s83Pg8wPUmHcnTnFpDNuVnG9r5qQwvbwd+TRJ0lRYZF4xtXoiOaQxPd18O91au2bpcMQ+qVn7NlN9In4m6qg9kjAAAAAAKFGlkjBUU5ycIyZiz74uTGOv7mnsxzWF/aQlYFse3MbkHGi8mFTtD3t59/ui/ur7SfL15tNeI0n6d2GB56mnJws8+xNPSJLefmqSjH0qLOoc9z5ryuTzzV2EeVibd9zC5BxortSEHf5USMT2H5CFKertmKOTy44PCzwfOidJmn1oT3J+WNS5FRadn1oTesmmTJ6a2yMtnYAtm7KeBKz2SMIAAAAAoEQkYRhYTMRiStNvYedhUpwsic+kJWAAluvs3YqpWOwTe/OLLpAk2dqp8DNZ2DnuXXzbc16ZnB+CMHfv21+xNDvi8GOctAQMQIdUj5gvtKR9ye/26GPJz7l/lVz2tCTpWnxassDzdCu5XrtnLFrsqGztmRL7LCcfLm/PvIiJkTkJM7NpM/uOmX05nD7ZzG4zs+1mdp2ZzWUfJgCsjFoEoAqoRQAGkUcS9i5Jd0k6Ipz+E0kfdvdrzWyzpIslfSyHx0FF9FvYOZ2I9TJq8tU5iyIJGPqgFtVAen2wYaT7xD77nS9Jkn79pf823HmIvKx7/2J7EdSWt2ccizMmtmcmi+OKt/Xee6XbsyieeDYJGPqhFk2ijh6s9sLOsdfrsT3JBevXJT9nQno1m/qaHdYE60y12j2rvnwNseT8VC2iF2xiZErCzOx4Sb8i6RPhtEl6haTrw1WuknRBlscAgNVQiwBUAbUIwKCyJmEfkfQHkg4Pp58uaY+7L4TTOyUdt9qdPOe0vdqyZVvGoWAS9VpHrF+aNkkJWZ7rpzXER5RDLdr4gie0+SukG0VaDDtx80jE5uMe4oVUr0Tsv5gK+xk79zpPpfY2e/dAYlK2dEZyujMBi/rNHDhJCVl8LsySOLCPKIdahIpLzZwYE66phdA3FsvKXDJzazulnwofA1/KQJaSsJjYh/uIp9uzIfbpGUNtjZyEmdlrJD3q7rePePtLzGyrmW3d9RjNhgBGk2ct2r2b/+QAjCbPWjSvAzmPDkDVZEnCXirpV83sfElrlRz7/FFJR5rZTNjrc7ykB3rd2N2vkHSFJG06fS0HuKLLKElQExIy9JRbLXrBabPUooJlScDS5hX2Roe90Iop14HkC2x7L3U63ZKW7VVuJ2Dx/BUSsNU0ISFDT7nVoiNsPbWoDkK98H37JEnTjyc9Yh5SeHv8qeR0uyaF+tLqqD/9erzi+mSxjtELNnFGTsLc/XJ3P97dT5J0oaSvu/ubJH1D0uvD1S6S9MXMowSAPqhFAKqAWgRgGEWsE/YeSdea2QckfUfSlQU8BiZUEb1QdU7I6A3LhFo04RbjnuH5g8nP0FvRORviMqvMfpglAVtNnRMyesMyoRZNqtgbFn5O7U2SsHYvWOzvWkzVm6mODKTVnb7H65KATb5cNsLc/ZuSvhl+/6GkF+dxvwAwDGoRgCqgFgFYTRFJGDC0cSQ+nY9Vh1QMQLf2pGGhJ8xmkj3GyazgkqbDWj0rJGPpXrAiErDVdKZLdUjFAKTE/q0nkx4wO+SQ5PzYGxaTsY4+1XZdSs202LmGGCZbpnXCAAAAAADDIQnDyGJ69Ozrzsp8X+Pueapz3xjQBIvef2bFq+6+UZJ00c+9SpJks+G/ttAjZnEPc+duxz47m8tMwHqpc98Y0FQxUfe9ySyJFtcqXLsmOT2bJGHtLN5cFmdWbPXpT439q0pdTo/YxGAjDFhBVTbOmKADWL7Qc6t9fvdhPe2FURe7G96t1Vo6BKifeChjxb7oVGXjjAk6gB68e+r5dp0JO4RsPizS3J6gY3HZjqD2YdRhqY1lC8dj4nA4IgAAAACUiCQMyIDJPYByDLXIc9yD3O8wH6njUJ/JaIJncg9g/LyduqfS+fRkGyulXBNWm9AfSRgAAAAAlIgkDBhBTMA6e7Wq0j8GVFm6rytXqanp2wuixok5evR5Wey/qOlO55iAdfZqVaV/DGiMkF7Fvi6Ly2OkJglSetHmFe+y3rUJqyMJAwAAAIASkYQBOdjy4La+SVieCRmzJALLTbdnFQv7FePU9HFvdOgNM7OlNCzsZW63XcQ+DB98T3UVbd5xS98kLM+EjFkSgRWEGuRzYXbENXPJz3YqP9WuPXFJjXZtimlZrEnWvaA8JgdJGAAAAACUiCQMyCDdGzbKbSN6x9AkhfSGxdkQ48KpK/VfxNnJ+s1EVtH1wvpJ94aNctuI3jFgRDGNj+n7QqhBBw52X8+9nWy161S6n2xhodixYuxIwgAAAACgRCRhQE6y9mv1ul2/dIzeMGDJYjqtaoVUKyZj4fJesyNGkzQTWdZ+rV6365eO0RsGaKlfK1VzNB/SrNgLttid1ktLMyp6ajZXTD6SMAAAAAAoEUkYkINzN5zRTqfyTKlWm1mRRAx1t5gKpzL1iMU9yK10MtajNyzOjhj7x9K3qalLN57dTqfyTKlWm1mRRAxYSro89oDFRCz2mMaU3lt961Q7se/Xr4qJQRIGAAAAACUiCUNmp7z7VknS9g+f1XW66YpMqUi+MKlWmjWx32VxP3HcC22hP8PiWj1hz7K1Wku/xz4MhdOxJ6w1GeuFdSoypSL5ApZ47P0KMxtOLYTqNDeb/OxM5a07CWuXtXgf7WXCJqdfFd1IwgAAAACgRCRhyCwmPs++7qzxDmTM+q0ZRt8WMLp0z1gvcd/yp+77uiTp4tNfm5wxG9bdCZf7woIs1R/WXpMn7GW2qVbX6bqtFyb1XzOMvi2gIO0+rnDyYNIT5qG+aCZJ5a29huFijxgkuY5mk9TM5ueT61o7EgvXS83AiNoiCQMAAACAEpGEATnrl4gBGNwgCVj/G4cYayr8FzfV0UQW1+JJz0SWZvXvDeuXiAEoiHevA2YHQpq1di45PyRimp7usR5Yul8Vk46NMOSOCTp647BEoFjtrzSzceMrfOHpNf182BiLhyfGJni1Jn9aaA5LBHJmvdfWiBtfviZshPmBjtuEWjOVOuQ5TMShMLFQPJ8JOiYPhyMCAAAAQIlIwpA7pqxPMFEHMCbxUKC5OEV9OERoenppiuip7n2QyxKxCdrbzEQdQMHSizIHFpbNaK2dCaeTwmKzs1KYxj4mXukF4+MkHu0p63MfNMaNJAwAAAAASkQShtz0S8C2f/isxqZhKyERA0az0oLOkqSZ8F9b7KkIKZeZLe1NTjfFh+tae1KP5vRfkIgBOQvpe7snbCYshTEXErGOxCwu7BzZXLhNPCNMd790AzKxSUESBgAAAAAlIglD4U55962N7g9bbcp6EjEgH9Pxl1aIr8JCqebJf3Vd+4/TizDHHrHYf9FrRsWaW23KehIxIKN2b1ioJwtJPWmFJMzmYko/Jc2Hq8Yp6WMsEhP8VH/ZJNakpsuUhJnZkWZ2vZn9wMzuMrOXmNl6M7vRzO4NP4/Ka7AA0Au1CEBVUI8ADCLr4YgflfQ1d/85SadLukvSZZJudvdTJd0cTqPhTnn3rY1MwYax5cFtLPA8OmpRAy1696LO82rvXJYk+dysfG42WSB1ZrrrtjY9nfybm5XNzS6/c2+Ff964HozNO25hgedsqEcN54uL8sXFJM0y0/wRs5o/YlaLa6a1uGY6qSnhMs3OSrOzsnWHyNYdsnR+qD2tg/NqHZxPEv5WA5pUG2TkjTAze5qkX5J0pSS5+0F33yPpdZKuCle7StIF2YYIAP1RiwBUBfUIwKCy9ISdLGmXpE+Z2emSbpf0LknHuPtD4ToPSzom2xBRN6wT1ttqvWEYGbWo4dKzJfq+/ZIkm4nrhIUrzM3K4kRjs+G/v6kwK6KSC1r7wkxlE5x+rdYbhkyoR2jPjqg9j0uSWnPrJUkLhyZ1Z/bQQ9rrgPkha5Lrhppke5P65fsPdN8XJk6WwxFnJL1I0sfc/YWSnlIqXvfkf76e/5OZ2SVmttXMtu56jHgVwMhyq0W7d/OfHYBMRq5HnbVoXgdKGSyA8cmyEbZT0k53vy2cvl5J4XnEzI6VpPDz0V43dvcr3H2Tu296xtOne10FmEjnbjhjxZkQScqGllstWr+eVTsmQWvfPrX27ZMe/on08E9kC4uyhUVpYUGtAwfUOnBA/tRe+VN72z1hi48/qcXHn5QvLCxbt2dSXbrx7BVnQiQpG8nI9aizFs1qTWkDRgFiP9fuPWrt3qPD7tylw+7cpZn9i5rZvyjbd0D+xBPyJ56Qdu+Rdu9Ra91c8u+hR5J/e/eqtXdvI/tSm2Lkbxzu/rCk+83sueGscyR9X9INki4K510k6YuZRggAK6AWAagK6hGAQWVdJ+y3JV1tZnOSfijprUo27D5rZhdL2iHpDRkfAzXV2RtGX9hwWDtsaNQiLM2UGPYat558SpI0vTZJFeyQQ2TzScplc3PJVQ+G+RSZdawn1g4bCfUIkiRfSOqLP/ITSdL0UYdJkhaffrimQ8+XH3qIJGlqb9KXungg9oKRfk26TBth7r5N0qYeF52T5X4BYBjUIgBVQT0CMIisSRjQRnoznEFmS+Q1BYaXTm8WHtmVXPDiX9DMA+G/vbCXeWHnA6WPr2oGmS2RRAwYQTuVf1KSZHfcI0l65OJf1DO+G2pRmCXRvvXd8seHsWIjDIU75d23Ml19RmyMARmEQw2n7tiue957uiTpWZd9a5wjqi02xoARhI0xP5gccnjs5+7VV797oyT+X28ypgIDAAAAgBKRhKEUJGD9sYgzUI7W3r0kYCtgEWegHIu7di0lYBZXmWcijqYhCQMAAACAEpGElazfsb+kIBgEvWHIS7+eHlIQDILeMGAEvdIuErDGIgkDAAAAgBKRhBVsteQrXt55PVKxZhqmN6zIRIy0bTKtlnzFyzuvRyrWTMP0hhWZiJG2oZHoEWsMkjAAAAAAKBFJWEEGTRF6pQ70jTXbuRvOGPi9JhHDagZNEXqlDvSNNdulG88e+L0mEQNyQgLWGCRhAAAAAFAikrCcjZoabHlw26q3JSFDP3mmViRfk2HU1GDzjltWvS0JGfrJM7Ui+QIwyUjCAAAAAKBEJGEZVSE16DUG0rF6G2amRECqRmrQawykY/U2zEyJAIDBkYQBAAAAQIlIwjIYJQVbKdkosq+HRKUZmNGwmUZJwVZKNors6yFRaQZmNASAlZGEAQAAAECJSMJGUHTKUESaUebMiqQx+Rm1N4z3oBmKThmKSDPKnFmRNCY/o/aG8R4AQG8kYQAAAABQIpKwAUxymsDaY5NtkPXnUB+TnCaw9thkG2T9OQBoEjbCVjDuL6/jPKSsztPe9xvnuN/PLLJMWc+hifU37i+v4zykrM7T3vcb57jfzyyyTFnPoYkAsITDEQEAAACgRCRhPVQtMahKklH1ae+rNp4isIhzs1QtMahKklH1ae+rNp4isIgzAGRDEgYAAAAAJSIJ0/gTprqq26QeVUkUx6Xpz78Oxp0w1VXdJvWoSqI4Lk1//gAgkYQBAAAAQKkanYSVmQjkkQ7VJcmo+vgmAbMlTpYyE4E80qG6JBlVH98kYLZEABgNSRgAAAAAlKiRSVjdEwCSjN5WS4d4vbrxORq/uicAJBm9rZYO8Xp143MEoIkyJWFm9m4z+56Z3Wlm15jZWjM72cxuM7PtZnadmc3lNVgA6IVaBKAqqEcABjFyEmZmx0l6p6Tnufs+M/uspAslnS/pw+5+rZltlnSxpI/lMtoM2NvfHE16r/NYN6zuiVjdahF7+5ujSe91HuuGTUIiVrd6BGB8svaEzUg6xMxmJK2T9JCkV0i6Plx+laQLMj4GAKyGWgSgKqhHAFY1chLm7g+Y2Z9K+rGkfZL+TtLtkva4+0K42k5Jx2UeZQZ13bs/iLonGKiWun6e6lKL6rx3fzWTkGCgOur8eapLPQIwfiMnYWZ2lKTXSTpZ0gZJh0p69RC3v8TMtprZ1l2PLY46DAANl2ct2r27VdAoATRBlnrUWYvmdaDAUQKogiyzI75S0r+4+y5JMrPPS3qppCPNbCbs8Tle0gO9buzuV0i6QpI2nb7WM4xjRXXdu7+SSXouyEcevWE1llstesFps4XVojrv3e9nkp4L8pFHb1jNjVyPOmvREba+sFoEoBqy9IT9WNJZZrbOzEzSOZK+L+kbkl4frnORpC9mGyIArIhaBKAqqEcABpKlJ+w2M7te0rclLUj6jpI9OF+RdK2ZfSCcd2UeA81qEhKxOo8d5WjibIl1q0WTkIjVeewoR1NnS6xbPQIwPpkWa3b390l6X+rsH0p6cZb7BYBhUIsAVAX1CMAgMm2EVdFqScCWB7eVuoc/SyJRlyQCk6luiVjVrJYEbN5xS6l7+LMkEnVKIjB56piIAcBqar8R1u8LYr+NsTp9oeRLMEaV50QdfA4H0+8LYr+NsTp9oeRLMEaV50QdfA4BTJKsizUDAAAAAIZQ2yRs0L3yk7D3niQCVbDSobzxMzp9bHnjqYpB98pPwt57kghUwUqH8sbP6CknljkiABgeSRgAAAAAlKh2G2HnbjijsYnQlge3NXUxXoyoqX8rZbh049mNTYQ277ilyYvxYgRN/VsBgH5qtxEGAAAAAHVWi56wOu7NJ7HCJEr3Jzbtc17HvfkkVphE6f5EPucA6oYkDAAAAABKZO4+7jFo0+lr/R+3nLDideqShpWZDNTlNUE1lPHZnD52++3uvqnwByrIC06b9S985egVr1OXNKzMZKAurwmqoYzP5iknPlzrWnSErfcz7ZxxDwNARjf59X1rEUkYAAAAAJSIjbAaY7ZEDKPJM4uiWMyWiGE0eWZRAIjYCAMAAACAEtVidkRp+axsq12vSQZ9bQBkl56VbbXrNcmgrw0AAE1HEgYAAAAAJapNEhaR+izHa4FhNHWNr7yR+izHa4FhsMYXgCYjCQMAAACAEtUuCcMSEjAAVUACBgDAcEjCAAAAAKBEldgIu+eOdQOnOqutdcRaSMBg+FtZbsc/Hz5wqrPaWkeshQQMhr8VAE1UqcMRmzBhQB7PkS/OQLGaMGFAHs+RL84AAIymEkkYAAAAADSFufu4x6AjbL2faecsO3+SE7FhkHyhDHn8vU0fu/12d9+UfTTj0a8WTXIiNgySL5Qhj7+3U058eCJrEYB6ucmv71uLSMIAAAAAoESV6glLa0KPWC8kXyhT0/6+RtGEHrFeSL5Qpqb9fQFoNpIwAAAAAChRpZOwpu6hj8+bRAxFaurf1yiauoc+Pm8SMRSpqX9fAJqNJAwAAAAASlTpJKzp0kkFyRjyQAKGYaWTCpIx5IEEDECTrZqEmdknzexRM7uz47z1Znajmd0bfh4Vzjcz+69mtt3M7jCzFxU5eADNQj0CUAXUIgBZDZKEfVrSn0v6y47zLpN0s7t/0MwuC6ffI+k8SaeGf2dK+lj4ORT21PdGMlYvRfb2Nfhv5NMqsR6xp743krF6KbK3r8F/I59Wyd+NAEyWVZMwd/8fknanzn6dpKvC71dJuqDj/L/0xK2SjjSzY3MaK4CGox4BqAJqEYCsRu0JO8bdHwq/PyzpmPD7cZLu77jeznDeQ0LumEWxmtIpFQlm4ahHY8YsitWUTqlIMAtHLQIwsMyzI7q7S/Jhb2dml5jZVjPbOq8DWYcBACPVI2oRgLxRiwCsZtQk7BEzO9bdHwqR+qPh/AckndBxvePDecu4+xWSrpCkI2z90BtxWELSUi8kmLnLVI+oRfkhaakXEszcUYsADGzUJOwGSReF3y+S9MWO898cZgI6S9LPOqJ5ACgC9QhAFVCLAAxs1STMzK6R9HJJR5vZTknvk/RBSZ81s4sl7ZD0hnD1r0o6X9J2SXslvbWAMWMVnckYaUt5hp2xkARzeNSjeulMxkhbyjPsjIUkmMOjFgHIatWNMHd/Y5+LzulxXZf0W1kHBQC9UI8AVAG1CEBWo/aEFaLBax8VhrSlPobpFYvX4W+mGA1e+6gwpC31MUyvWLwOfzMAMJxKbYSheGyUFSPPjSEOJ0UTsFFWjDw3hjicFACKk3mKegAAAADA4EjCGo5krNqYzh5NQTJWbUxnDwD5IgkDAAAAgBKRhEESScuoypoYg8QSTUHSMpqyJsYgsQSAfJCEAQAAAECJSMIajkSlnpiaHpOGRKWemJoeAEZDEgYAAAAAJapkElZEOtNr7aUmpgkkX/lo4meniYpIZ3qtvdTENIHkKx9N/OwAwCQgCQMAAACAElUqCSsypel1301KxEjA8lH2Z6VJn9EqKTKl6XXfTUrESMDyUfZnpUmfUQAoA0kYAAAAAJSoUkkY8kcCVk+8b5g0JGD1xPsGAMUgCQMAAACAEpGETSiSlHyV2ZPV+d7RC4a6I0nJV5k9WZ3vHb1gAJAvkjAAAAAAKBFJmAafga7qM9WRftVTr/etqp8xFGvQGeiqPlMd6Vc99XrfqvoZA4C6IwkDAAAAgBKRhI2gaokYCVhxinyP+71vVflcofqqloiRgBWnyPe43/tWlc8VAEwiNsJqjI2vemNjC5OCja96Y2MLAMrH4YgAAAAAUCKSsAzO3XDGWNKMcSdg8TmPexxFIqVCnVy68eyxpBnjTsDicx73OIpESgUAk4kkDAAAAABKRBLWYZQJN9Jp0DgmcigaqRBQrlEm3EinQeOYyKFopEIAgElBEgYAAAAAJSIJy1me09ePI/kaZtyT2BuW5/tGgohxynP6+nEkX8OMexJ7w/J830gQAaB6SMIAAAAAoEQkYQMYJenJshBvmckSaU23UVOsXu9ZlkSMNA29jJL0ZFmIt8xkibSm26gpVq/3LEsiRpoGAMVYNQkzs0+a2aNmdmfHeR8ysx+Y2R1m9jdmdmTHZZeb2XYzu9vMzi1o3AAahloEoCqoRwCyMndf+QpmvyTpSUl/6e7PD+e9StLX3X3BzP5Ektz9PWb2PEnXSHqxpA2SbpL0HHdfXOkxjrD1fqadk/nJ5K3MnqctD24r7XGKMkm9YdFqr9cgzzlLEpblPsZh+tjtt7v7piLuu8m1qMyep807bintcYoySb1h0Wqv1yDPOUsSluU+xuGUEx8urBZJxdejqtYiAMO5ya/vW4tWTcLc/X9I2p067+/cfSGcvFXS8eH310m61t0PuPu/SNqupOgAQCbUIgBVQT0CkFUePWFvk3Rd+P04JYUn2hnOW9FzTturLVvKSYKqKu/nXpfkpOrSvVlZ+gOzvCf0iA0kcy3a+IIntPkr5SRBVZX3c69LclJ16d6sLP2BWd4TesQGlrkeAZhsmWZHNLM/krQg6eoRbnuJmW01s627HlvxCCEAWFFetWj37lb+gwPQKKPWo85aNK8DxQwOQGWMnISZ2VskvUbSOb7UWPaApBM6rnZ8OG8Zd79C0hWStOn0tS5Vb92pqoxjUGWnJHV7fbKoynMlEVsuz1r0gtNmXareulNVGcegyk5J6vb6ZFGV50oi1luWetRZi46w9Ss37AOovZGSMDN7taQ/kPSr7r6346IbJF1oZmvM7GRJp0r6x+zDBIDlqEUAqoJ6BGAYqyZhZnaNpJdLOtrMdkp6n6TLJa2RdKOZSdKt7n6pu3/PzD4r6ftKovjfWm02sl7Se/mrkkJUxbhTEN6PYg3y+jYxERtHLUrv5a9KClEV405BeD+KNcjr29REbBz1CMBkWXUjzN3f2OPsK1e4/h9L+uMsgwKANGoRgKqgHgHIKo/ZETO75451pCsrGHfawXuTjyLSqyYmYkXa8c+Hk66sYNxpB+9NPopIr5qaiAHAqCqxEYaVjeOLNhtexcvzNa7r4s6ol3F80WbDq3h5vsZ1XdwZAMqWaYp6AAAAAMBwSMIgieSrTGW81hymiLoi+SpPGa81hykCQG8kYQAAAABQIjbCauTcDWfknqIUcZ+oDt5bFOHSjWfnnqIUcZ+oDt5bAOjGRhgAAAAAlIiesIYhGWke+sNQRSQjzVNGf9i0FXbXAJArkjAAAAAAKJG5+7jHIDPbJekpST8Z91h6OFqMaxiMaziTNq6N7v6MvAdTFmrRSBjXcBjXcKhF1TNpn5WiMa7hTNq4+taiSmyESZKZbXX3TeMeRxrjGg7jGg7jqp6qPnfGNRzGNRzGVT1Vfe6MaziMazhNGheHIwIAAABAidgIAwAAAIASVWkj7IpxD6APxjUcxjUcxlU9VX3ujGs4jGs4jKt6qvrcGddwGNdwGjOuyvSEAQAAAEATVCkJAwAAAICJV4mNMDN7tZndbWbbzeyyMY3hBDP7hpl938y+Z2bvCuevN7Mbzeze8POoMY1v2sy+Y2ZfDqdPNrPbwmt2nZnNjWFMR5rZ9Wb2AzO7y8xeUoXXy8zeHd7DO83sGjNbO47Xy8w+aWaPmtmdHef1fH0s8V/D+O4wsxeVPK4PhffxDjP7GzM7suOyy8O47jazc4saVxVUoRaFcVS2HlGLhhpXJWpRGEvl6hG1qD9q0UBjq1wtCuOoXD2iFo00psJr0dg3wsxsWtJ/k3SepOdJeqOZPW8MQ1mQ9Lvu/jxJZ0n6rTCOyyTd7O6nSro5nB6Hd0m6q+P0n0j6sLufIumnki4ew5g+Kulr7v5zkk4P4xvr62Vmx0l6p6RN7v58SdOSLtR4Xq9PS3p16rx+r895kk4N/y6R9LGSx3WjpOe7+2mS7pF0uSSFv4ELJf1CuM3/F/5mJ06FapFU7XpELRpAxWqRVM161GtM1CJq0aCqWIukitUjatHIYyq+Frn7WP9JeomkLR2nL5d0eQXG9UVJvyzpbknHhvOOlXT3GMZyvJIP5SskfVmSKVkwbqbXa1jSmJ4m6V8U+go7zh/r6yXpOEn3S1ovaSa8XueO6/WSdJKkO1d7fST9haQ39rpeGeNKXfZ/SLo6/N719yhpi6SXlPmelvjZqWQtCmOpRD2iFg01rkrVovB4latH1KKez5tatPo4KleLwuNWrh5Ri0YbU+qyQmrR2JMwLX04op3hvLExs5MkvVDSbZKOcfeHwkUPSzpmDEP6iKQ/kNQKp58uaY+7L4TT43jNTpa0S9KnwuEAnzCzQzXm18vdH5D0p5J+LOkhST+TdLvG/3pF/V6fKv0dvE3S34bfqzSuolXyuVasHn1E1KKB1KAWSdWvR9SiRCWeK7VoIJWrR9SiXBRSi6qwEVYpZnaYpL+W9Dvu/njnZZ5s8pY6naSZvUbSo+5+e5mPO4AZSS+S9DF3f6Gkp5SK18f0eh0l6XVKCuEGSYdqecRcCeN4fVZjZn+k5PCTq8c9FlSrHlGLhlOnWiRVrx5Ri6qFWjSwytUjalE2RdaiKmyEPSDphI7Tx4fzSmdms0qKzNXu/vlw9iNmdmy4/FhJj5Y8rJdK+lUz+5Gka5VE7x+VdKSZzYTrjOM12ylpp7vfFk5fr6TwjPv1eqWkf3H3Xe4+L+nzSl7Dcb9eUb/XZ+x/B2b2FkmvkfSmUAQrMa4SVeq5VrAeUYuGU/VaJFW0HlGLqvVcqUVDqWI9ohaNqOhaVIWNsH+SdGqYpWVOSbPbDWUPwsxM0pWS7nL3P+u46AZJF4XfL1JyPHRp3P1ydz/e3U9S8tp83d3fJOkbkl4/xnE9LOl+M3tuOOscSd/XmF8vJXH7WWa2LryncVxjfb069Ht9bpD05jAT0FmSftYRzRfOzF6t5NCOX3X3vanxXmhma8zsZCXNsf9Y1rhKVolaJFWzHlGLhlb1WiRVsB5RiyRRi1ZU1VoUxlbFekQtGkEptSiPZras/ySdr2Tmkfsk/dGYxnC2kvjzDknbwr/zlRxnfLOkeyXdJGn9GF+nl0v6cvj9WeFN3y7pc5LWjGE8Z0jaGl6zL0g6qgqvl6T/KOkHku6U9FeS1ozj9ZJ0jZLjr+eV7B27uN/ro6Sp+L+Fv4F/VjKLUZnj2q7kGOf42d/ccf0/CuO6W9J5Zb+fJX92xl6LwjgqXY+oRQOPqxK1KIylcvWIWrTia0MtGmx8lapFYRyVq0fUopHGVHgtsnBnAAAAAIASVOFwRAAAAABoDDbCAAAAAKBEbIQBAAAAQInYCAMAAACAErERBgAAAAAlYiMMAAAAAErERhgAAAAAlIiNMAAAAAAo0f8POhOS6B+cjBUAAAAASUVORK5CYII=\n",
"text/plain": [
"<Figure size 1440x1800 with 3 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"(128, 128, 3)\n"
]
},
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 1440x1800 with 3 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"(128, 128, 3)\n"
]
},
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 1440x1800 with 3 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"(128, 128, 3)\n"
]
},
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 1440x1800 with 3 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"(128, 128, 3)\n"
]
},
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 1440x1800 with 3 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"(128, 128, 3)\n"
]
},
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 1440x1800 with 3 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"(128, 128, 3)\n"
]
},
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 1440x1800 with 3 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"(128, 128, 3)\n"
]
},
{
"data": {
"image/png": 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JXpKpep1RpEOTuIeYqZbWYT2S1JOBO2GZ+Q9ArPL02YNuV5L6YS2S1BbWI0m9GmpMmCZr0mOzhknETLak2THpsVnDJGImW5KkSRjJFPWSJEmSpN7YCZszw943rA1m4T1I827Y+4a1wSy8B0nSZHg54pwa5UQd42RnS5pto5yoY5zsbEmSRskkTJIkSZIaZBI2xbpTrEmlRoNM0LFaEjeKbUhqVneKNanUaJAJOlZL4kaxDUmSVmMSJkmSJEkNMgmbIaNMpJrimC9p9owykWqKY74kSU0yCZMkSZKkBpmEzaDOVKvXpGkUidgwN2+WNHs6U61ek6ZRJGLD3LxZkqQmmIRJkiRJUoNMwmZcW2ZQHKdJj2vrVfexb3t7pVFqywyK4zTpcW296j72bW+vJM0ikzBJkiRJapBJ2JxZLxkbJFWaxXRtHBwzJy1bLxkbJFWaxXRtHBwzJ0mTZxImSZIkSQ0yCZtz/aQzJjijNS1j2aQm9JPOmOCM1rSMZZOkWWISJkmSJEkNisycdBs4Irbl0+LsSTdDHdZKadqeiE1LsjSLsyV+Ki+9OjOfMul2DMpa1D5rpTRtT8SmJVmaxdkSrUWS2mCtWmQSJkmSJEkNckyYVrRWKuMsf/3pdeyXY8Skh1srlXGWv/70OvbLMWKSNH4mYZIkSZLUIMeEaWhtTcQmlSiN4nhMaxrmOAxNUlsTsUklSqM4HtOahlmLJLXBWrXIyxE1NC9PHMy0drSktvLyxMFMa0dLkqaZlyNKkiRJUoPshGlkzjnuDNMdPA7SpJ2//SzTHTwOktRmdsIkSZIkqUGOCdPItWWMWFunfG9be6RZ1ZYxYm2d8r1t7ZGkeWISJkmSJEkNMgnT2LQlEZuU7sRrXo+DNGltScQmpTvxmtfjIEltMnQSFhEbIuJLEfGx8vikiPhCROyKiEsiYvPwzZSktVmLJLWBtUhSL0ZxOeKrgOs7Hv8B8JbMPAX4PvCyEexDU8wxUBVnTRw7a5HW5BioirMmjp21SNK6huqERcQJwM8Af14eB/Bs4NKyynuBFwyzD0laj7VIUhtYiyT1atgk7K3Aa4DF8vhRwD2Zub88vhk4fsh9aAZMMgXaees1jseafW/FWqQeTDIF2rH7Csdjzb63Yi2S1IOBO2ER8Tzgzsy8esDXXxgRV0XEVfvYO2gzJM05a5GkNrAWSerHMLMjngX8XEQ8F9gKHAG8DTgqIjaWsz4nALes9OLMvAi4COCI2JZDtENTZN5nTNRYWIvUt3mfMVFjYS2S1LOBk7DMfH1mnpCZJwLnAX+bmecDnwFeWFa7APjo0K2UpFVYiyS1gbVIUj/GcbPm1wL/Z0TsoroW+p1j2IemnDMFqgHWIq3LmQLVAGuRpIcZyc2aM/OzwGfLzzcBTx3FdiWpH9YiSW1gLZK0npF0wtqoHnNk2tJu3b+fcY4V8zOhSajHHJm2tFv372ecY8X8TEiSxnE5oiRJkiRpFTOXhHUnKf0kKyYkk+fsiZoV3UlKP8mKCcnkOXuiJGmcpr4TNso/1vvdlp228bEzpmkzyj/W+92WnbbxsTMmSRoHL0eUJEmSpAZNXRLWpmTESx3HbxyJmBN0aBTalIx4qeP4jSMRc4IOSZpfJmGSJEmS1KCpScLalIANYpD2m9Qsc4yY2qJNCdggBmm/Sc0yx4hJkkbBJEySJEmSGjQ1Sdg8crbGhzvnuDNGlobtvPWauThm0rCcrfHhzt9+1sjSsB27r5iLYyZJWmYSJkmSJEkNmookzHFAvZmX2RodH6ZJcRxQb+ZltkbHh0mSBmUSJkmSJEkNshOmnu289ZpWpU/nHHfGVCd6kgazY/cVrUqfzt9+1lQnepKk5tkJkyRJkqQGtXpMWJtSl3k2yt/DatsaJtEaZoxY/RoTNa2lTanLPBvl72G1bQ2TaA0zRqx+jYmaJM0HkzBJkiRJapCdsDk1zPiucYwNG8U2HSMmTZ9hxneNY2zYKLbpGDFJ0nrshEmSJElSg1o5JsyxYO0yinSp19/pKMZo9TNGzORMa3EsWLuMIl3q9Xc6ijFa/YwRMzmTpPliEiZJkiRJDWpVEmYCplEaZtZEzTcTMI3SMLMmSpJmU6s6YZpdk7zsr7sz5iWI0vya5GV/3Z0xL0GUpPnl5YiSJEmS1KBWJGE/dvoedu68ZtLNmEvzlA7Nw3vUcB53+n3suNxLxiZhntKheXiPkqS1mYRJkiRJUoPshEmSJElSg+yESZIkSVKD7IRJkiRJUoOG6oRFxFERcWlEfC0iro+Ip0fEtoj4ZER8o3x/5KgaK0krsRZJagvrkaReDJuEvQ34eGb+OPBE4HrgdcCnM/NU4NPlsdRKO2+9prGbOTe5rzlkLdJU27H7isZu5tzkvuaU9UjSugbuhEXEkcC/AN4JkJkPZeY9wPOB95bV3gu8YLgmStLqrEWS2sJ6JKlXw9wn7CTgLuDdEfFE4GrgVcAxmXlbWed24JjhmqgmzNP9wmqdqVSvCdUwx6d+bfe+5umYj4m1aIbM0/3Cap2pVK8J1TDHp35t977m6ZiPkfVIUk+GuRxxI/Bk4O2Z+STgfrri9cxMIFd6cURcGBFXRcRVd919YIhmSJpzI6tFd9+9OPbGSpppA9ejzlq0j72NNFbS5AyThN0M3JyZXyiPL6UqNHdExLGZeVtEHAvcudKLM/Mi4CKApzxx64p/HEnddt56zUSTo14SM5Otxo2sFp3xxM3WIvVkx+4rJpoc9ZKYmWxNxMD1qLMWHRHbrEXSjBs4CcvM24HdEfH4suhs4KvAZcAFZdkFwEeHaqEkrcFaJKktrEeSejVMEgbw74EdEbEZuAl4KVXH7gMR8TLg28AvDrkP6SDrpVHrJVHjnqGw3+3P43i8MbAWqXHrpVHrJVHjnqGw3+3P43i8MbEeSVrXUJ2wzLwGeMoKT509zHYlqR/WIkltYT2S1IthkzBpakzqHl2rJVwmYNIERVTfs/mhN5O6R9dqCZcJmDRBCxuq74tOUjdvWtEJu+HaQznnuDO8kW0LjKNjsOstZy79fMqrrxxoG9MwIUa/+590e/VwN117OOdvP8sb2bbAuDoGN/3HpwPwuNd8fqDXT8OEGP3uf9LtleZOBDtv+RLg3wLzbJgp6iVJkiRJfWpFEqbZ0pl8weDp16iMM2H1DJY0RRY2cPIbrgbg7pdWidiP/O3NABy4vZoxPPftr9bNcs+4EV6uOM6E1TRLmh6xeTPPefwzAbjrsuMAeNQfHgrApi/fCMDiAw8CkAfKZYpjqEmaLJMwSZIkSWqQSZhGrk6+uhOxYXQmTpMYO2jiJc2AxQNkOZt89F/dAMAP/sUpABzxpeqc5OJtd1TfH9pXv6j6Vs4+dyZOkxg7aOIlTb/cuxdKwvWjv1l9/9orNwNw0qZTAdjy5W8CsHjf/dWLyvrLyZiJ2LQzCZMkSZKkBpmEaUVrpU1NpkIrzdbY6/4HScxMvKR2WSttGiYVynJ2+RF/vwuA/Y+rxmVsfHAvAHH/HgAW91Tf3//NvwfgvO3/c9/7HyQxM/GS5sTd3wfgx/+kenjHTx0NwNHfPxaADd+9F4DF71XrZalJk7zNhkbDJEySJEmSGtSqJKxOIbxf2GzoHBvW6wyJq/3u+7l/Wa+fH1MvraZOIbxf2Oyqx3zFvT8EYMMN3wEgN1b/LV7+tSr52rP4EAB7y8nmi3f/I3BwIraaXj8/pl7S/MnFqqgs/vA+AGJvVWt+9BPV9zxkS7XivjI+daHkJrFQb6A8jhU2bjo2DUzCJEmSJKlBrUrCNJtOefWVSzMldidi3anVONMpky9JS8pZ5CwTjV163ScB2FDOKj/3fzineqLMRFbfs2fJwv7lnxcP9LVrky9pTq2UWtWzHpbxqIt33V2tumFDtfxHqzFiC1u3lOUlP6mTtI7atDxzYn81SZNhEiZJkiRJDTIJUyO67x1244veAYw2nepn3JikOdU1VuLi73wOgH/1mGcCEJuq/xYXDq3WiyOPAGDDIYdUL3+ojNe4fw+5f3/Z5MGzlNVjwUy8JB2krj8RD0vjifLc/qqe1LUo9lcrPHTCNgA2PLqqSQv3VrMkLnzvHrJOw+ptpjMnTgOTMEmSJElqUCuTMGdJnF11InYyL68e09usib0wAdOoOUvi7DvvMXVaVWYaK+Ms6sSLcr8wjqrOPsfmTdXjCNi7nIp1bsMETNKaMlceHwbLY8QOVPUk9jwAwKa7qj/ZH3zsUQBsOKSqRZsWFli4r6pBB75bxpPVu1kaI2Yi1kYmYZIkSZLUoFYmYZp93WPEer2PmCSNVT2mooz3ooy1WDpnfdih1eNNm6A+U13Gbiyfwfbss6R1dI4P61TfB2xp1sRSg8p6W79dPb3v6MMBWDx8Cwtl3YVDq/qUDzxw8K4OrDJbojVqokzCJEmSJKlBJmHq2yhnITQRkzSokcxC2HU2OsuYMBZLElYeL92zZ/8PqsfbHkksVOcxF+r07KF91fdyv5+lcWaebZa0nu7ZEmuL9fLq+8LG6k/3zbdU9eaBkx/N5lKLNpSZFCnr5A9KvSrp2nJKvzj69qtvdsIkrcgp/zWX6j9O6kuCyuPFvVXHKjZvrpb/8H7i8HJpIoeVF99fPd5Xpq5f+mPKztgwnPJfM221yxK7OmWxoTy+r9SZQ6vbZmy97T4e+pGqBmUcCcDGO8tr9lQTdixdXt3dwQunsp8kL0eUJEmSpAa1Oglzqvr54WWJajOnqp8D3Wej67PQiwtl8Qpnisvlh5RLgdiypVq3JGGUWe5zf52uedZZ0jq6a89CqR/1RB0l1erMzTbcXy6F3lC9ZvHIKhlbKLfRWCzp2dI2Fg9O+q1Nk2ESJkmSJEkNanUSJmlyHAsmQSx0jdPYV9KviOVxFuUGzvVEHZQp65eeD886D8OxYJoL601Z3716PU713mDjA1UNWjx0a/XcpmoioaXaVBKyLBMMBaskYmqUSZgkSZIkNcgkTFOlc3ygSY2ksek++1wSsXqa6A9+9RMslPOYv/ATZ1cvKTdypj7bXM+kWKa5X5ot0bPOkvpV15U6KStjUhfvu3/puYWjqtkRF48+CoCsk7DDqjFiSzO31tusb8WhiTAJkyRJkqQGTUUSds5xZzhD4pzz9682OH/7Wc6QOOuWxmnVadWGg56+5Jt/B8C+zKV18qFqBrIsN0hlQz2jYknPymtjKU0beaslzZo6Mc+uMWIl9apnPMwDB4iFknD98D4A4pAtB61bz+Ba33S+niVxKeFfGhtmcWrSUElYRLw6Ir4SEddFxPsjYmtEnBQRX4iIXRFxSURsHlVjJWkl1iJJbWE9ktSLgTthEXE88ErgKZn5BKrThecBfwC8JTNPAb4PvGwUDZW67bz1GhMyWYs0HrFw8NcaLrnxs1xy42ers8sHDiy/ZsMG2LCB2LCwNDuZZpv1SCNX6kls2LCcZEGVlJWvPHCAPHCAxT17WNyzh3jwIeLBh6pUfsNCNWNr59fCAiwskItJLubyttSoYf9X2AgcEhEbgUOB24BnA5eW598LvGDIfUjSeqxFktrCeiRpXQOPCcvMWyLij4DvAA8AnwCuBu7JzHq6lZuB44dupTSE1dIyZ1ecDdYijVT3PXrKmInoXt5hsYwjq8eGxaaV/2u95FufA2Bf1xln74M1O6xHGpk6ge++V2H9uH4+cinFynom1vv3VM+VsWFZv2bx4Fq1PO7MexZOwjCXIz4SeD5wEnAccBhwbh+vvzAiroqIq/axd9BmSJpz1iJJbTFMPbIWSfNlmMsRfxr4ZmbelZn7gA8DZwFHlQge4ATglpVenJkXZeZTMvMpm9gyRDM0S0559ZWc8uor2fWWM9n1ljOXlp9z3BmrJleDjg1zPNnMsBZp5GIhlmYzBJbGd73opJ/iRSf91Iqv+ciNn+MjN36OfGgfWe7h02kxcyk16+SMmzNl4HpkLZpzEQ9P4mF5LNhCwEIQmzdXX1u3VF8LsTwOtR7bVcanxp4Hq6/FJBZXSLsyTcEmaJhO2HeAMyPi0Kiu0zgb+CrwGeCFZZ0LgI8O10RJWpO1SFJbWI8k9WSYMWFfiIhLgS8C+4EvARcBfw1cHBG/W5a9cxQNrVMQ04v5cMqrrwRYSsPqx4PoTtDqz5BjwmZD07WoHr9jejHb6rEVCxvLmLB6nFc5a7wpFpbGdi10n71eLOMsyr14srzmvMc+s944ADu+8w+AY8JmSdP1SDOkTqS66kmWOhJR0tEt1d0NYnH5PoVBfX+vDWVTZVv7q2GIsbHMqliPAatnWazTMceGTcRQN2vOzDcCb+xafBPw1GG2K0n9sBZJagvrkaReDNUJ03xrIlHqTsROvuRMbnzRO4barwmYNFvqVHKUidLSeLCF6qr93FedUa7PSr/wxGdw6beqJOuFJ1djxGLjwf+l5v79Bz2ut5nlpLUJmKQlXQlYXS+W7g1W32twb5nZcG81eUts3EidXy1sqdKyOPSQg7aVD5aJXkrytbTNOq2vg7QI07AG2QnTVKg7XgAnX/JyAE5h8EsUZ1X35bp2OKUBlemf605X/cdKPc08wAtPfhaw/IcP9SWLdYetvhSo/HGVnVNKAzC7lwB1X65rh1MaUN05K/Vk8YEHAcjSCSMWWDis6nTFIx5RPVempo891brsKxMF1Z2vUnMeduLowIHl/c1gXWqbYW/WLEmSJEnqg0mYWm2liVi6L1HsXj7PTL6k0VhOwKpvHyiTaNRTzC9ENVU0sHx2uX5NrV6+tNFy9jlLMrZYnwddnLmzziZf0nDqyYHqBGzp8ubuOgPEYYdVP5Q0PkoaX1/CGGw6aJtR39y5vpNG50QdXTeT1/iYhEmSJElSg6YuCXOq+vmw2u+3M+npTr5GMZ291Cunqp9RdSJVRqpfvPsfgeWZnOvp6F900k+xcFg5j9k1Ff3SFPVlUo/6LHM97H7pbPTCYueuJM2z7jS8FIZ8qCuZKmNL68k1YuuWh41H7b5NBmXsVz1VfWZZf1O1XnSMfbUeNcckTJIkSZIa1MokbK2UyzEv7TPOVLKf5NOxYitb79j5b2p1a6Vcjnlpn3GkkvVJ4fMf8wwAPrT78wDEhgXyQNfZ5lr3VNNLsyN23fi5vtnqYjLLMyXW1vv9+G9KWkF3TSjlJerxXhs3Ls/I2jFjYuc6S9vYXI0Ni6UbQ5fnF0vqtm//8uytRmJjZxImSZIkSQ1qZRK2FseCzad+0hrHii3z38v4OBZszpQzxy88sUrEYiPL4y4Wu8ZsLM00VpbXM5ZRltc3gi5jwxaAxYfKNGUzevbZfy/SiNSzF3bcxHlp5sSuMa1Z3/B5aZxqlYSxqSRih5RtlCRtYTHJBx4AYHHv7Kfzk2YSJkmSJEkNmrokTPOlTnKGGbfUPVZsHhIxEzBptOokpx4bBiyfIV48+ExxLHSd3+x6fukM9sZylnohlsZoLM2ENiNnn03ApBGra0U9/ovlcaZL41Tr5fV41Prx/oOT9iyzJbJ18/J2StIW9f3J6jGvM1KT2sQkTJIkSZIaZBKmuTGPiZikEavPQi8mQfesiNV5zSzjK5bPTpf1SkIW9b18ykxlbNzIwpYtACyW1GzpNYuzOUZM0nCWakQ9nhSWZ2qt0/b6uc3l+XrsWF2LHnyo2tahW6vvmzcRRx5RPVfXqbKN3F+PWzURGxWTMEmSJElqUCuSsB87fQ87d14z6WZImnOPO/0+dlzuGBb1IBcfPpFhub9OlLPQ2XX/sKXxGeX5eKjjyfreYXvLOLGMejeS9HC5nJrnA1WtiXo2xHqVOvGq06ylZKzMjljPkrjnwWr5QpD1c3WatqnsZ39H4qaRMAmTJEmSpAa1IgmTmtQ5NmzWxon1MyviMDNOSnNvxXER9cyG5Tx0V1K2lICVhGxpC5nLYzm6x4RNqX5mRTx/+1ljbIk04zri8u50vp6pdanWlPuFLSVlSzO8Lm8j9j500GsWH9xbrzyiBqtmEiZJkiRJDTIJ01QYxf3Cup3y6itnJgGT1Iyl+4WtlN7UYzTqGcgiDn6+vl9YGbexNFNZ5ya67ykmSWtZIaGqk/R84AGgY3xXPYPrA9UYsHioZDH185lkScW67zmm0WtFJ+yGaw/lnOPO8AazapydL3W66drDOX/7Wd5gVqPxsD+O6j9uellXkgbUVU+WL28u3+vO2IF6Qo9yY+bFXL680Zo0dl6OKEmSJEkNakUSJs2CcVwy2e++JbVYQ2eW17xksqF9S2qRuvbUl0h33ftiKZ03/WqUSZgkSZIkNWgqkjDHi6ntOj+fvX5WnSJ++jheTG3X+fns9bPqFPHSnDDpahWTMEmSJElqUKuSsLWSgfq59cbdmJjNpllIjcb5Hrr/fQy6jiprJQP1c+uNuzExm02zkBqN8z10//sYdB1JmnUmYZIkSZLUoFYlYb1YL03wbL+atNLnbJKpXT+JmIazXprg2X41aaXP2SRTu34SMUmaR+smYRHxroi4MyKu61i2LSI+GRHfKN8fWZZHRPxJROyKiGsj4snjbLyk+WI9ktQG1iJJw+olCXsP8KfAf+1Y9jrg05n55oh4XXn8WuA5wKnl62nA28t3aaa1LV1qW3tG6D1Yj6RVtS1dalt7Rug9WIskDWHdJCwz/x74Xtfi5wPvLT+/F3hBx/L/mpUrgaMi4tgRtVXSnLMeSWoDa5GkYQ06JuyYzLyt/Hw7cEz5+Xhgd8d6N5dltyENoO2JTtvbNyesRxq7tic6bW/fnLAWSerZ0LMjZmYCfd/9LSIujIirIuKqfewdthmSNFA9shZJGjVrkaT1DJqE3RERx2bmbSVSv7MsvwXY3rHeCWXZw2TmRcBFAEfENm/hrYOYMKkPQ9Uja5HWYsKkPliLJPVs0CTsMuCC8vMFwEc7lv9ymQnoTODejmheksbBeiSpDaxFknq2bhIWEe8HngU8OiJuBt4IvBn4QES8DPg28Itl9cuB5wK7gD3AS8fQ5p54v7DpZAKmtUxjPfJ+YdPJBExrmcZaJKld1u2EZeaLV3nq7BXWTeAVwzZKklZiPZLUBtYiScMadEyYNFImYJLawARMktSEoWdHlIZxznFn2AGbEl7aq1l2/vaz7IBNCS/tlTQL7IRJkiRJUoO8HHEGjDtJGkcCYvo1PUzA1KtxJ0njSEBMv6aHCZikWWISJkmSJEkNmvkkbJanqm8qTVptP4McUxOw9lvt9+rvbjizPFV9U2nSavsZ5JiagLXfar9Xf3eSZoFJmCRJkiQ1aOaTsG6jOJs/6VStLYlEdzvWOi5taXO/6vc0re3vx6Q/1/NmFGfzJ52qtSWR6G7HWselLW3uV/2eprX9/Zj051qSmmASJkmSJEkNmpskbBaSjLa/h9WSsba3uxezOE6q1+Rrmt9jG81CktH297BaMtb2dvdiFsdJ9Zp8TfN7lKRuJmGSJEmS1KC5ScKm2bQmEdPabpjt8VGz/N40XtOaRExru2G2x0fN8nuTpPWYhEmSJElSg0zCpDnRbwI2zUmmpPbqNwGb5iRTklZjEiZJkiRJDTIJ60PTY2lMIjSsYT6zg7x2w7ED7059aHosjUmEhjXMZ3aQ1x5zwsC7k6RGmIRJkiRJUoNMwlrIBGxyZmXmwFl5H5osE7DJmZWZA2flfUjSqJmESZIkSVKDTMJaxARMwzIB0yiYgGlYJmCStDY7YS1hB2yyprXzMq3tVnvZAZusae28TGu7JWlSvBxRkiRJkhpkEtYH0yq1hQnYfDOtUluYgEnSYEzCJEmSJKlBJmES/aecTSdRJl/SfOg35Ww6iTL5kqTRMAmTJEmSpAaZhEkDaGp8oAmYpLU0NT7QBEySRsskTJIkSZIaZBImtZAJmKQ2MAGTpPFYNwmLiHdFxJ0RcV3Hsj+MiK9FxLUR8ZcRcVTHc6+PiF0R8fWIOGdM7ZY0Z6xFktrCeiRpWL1cjvge4NyuZZ8EnpCZpwM3AK8HiIjTgPOAnyyv+c8RsWFkrZVm2M5br1n60oreg7VIGrsdu69Y+tKq3oP1SNIQ1u2EZebfA9/rWvaJzNxfHl4JnFB+fj5wcWbuzcxvAruAp46wvZLmlLVIUltYjyQNaxRjwn4FuKT8fDxV4andXJZJWoXJ18hYi6QhmHyNlPVI0pqG6oRFxBuA/cCOAV57IXAhwFYOHaYZkuactUhSWwxaj6xF0nwZuBMWES8BngecnZlZFt8CbO9Y7YSy7GEy8yLgIoAjYluutI40i9qWfI32nme7Rrit3liLpMG0Lfka7T3PLh3htno3TD2yFknzZaD7hEXEucBrgJ/LzD0dT10GnBcRWyLiJOBU4J+Gb6YkPZy1SFJbWI8k9WPdJCwi3g88C3h0RNwMvJFqxp8twCcjAuDKzHx5Zn4lIj4AfJUqin9FZh4YV+OlaTLbCdj4WYuk0ZjtBKwZ1iNJw1q3E5aZL15h8TvXWP/3gN8bplGS1M1aJKktrEeShjWK2REl9aA7eWpbMiZpPnQnT21LxiRpHtgJ01TopcMybZfX2SmTpk8vHZZpu7zOTpkkNW+giTkkSZIkSYMxCZNaojMZG2cqNm2JoaRmdSZj40zFpi0xlKRRMgmTJEmSpAaZhEkt5HgxSW3geDFJGg+TMEmSJElqkEmYNAVWS8Yc3yWpSaslY47vkqQO1Q3bIVdfxSRMkiRJkhoUmWt00ZpqRMRdwP3AdyfdlhU8GtvVD9vVn1lr12Mz8+hRN6Yp1qKB2K7+2K7+WIvaZ9Y+K+Nmu/oza+1atRa1ohMGEBFXZeZTJt2ObrarP7arP7arfdr63m1Xf2xXf2xX+7T1vduu/tiu/sxTu7wcUZIkSZIaZCdMkiRJkhrUpk7YRZNuwCpsV39sV39sV/u09b3brv7Yrv7YrvZp63u3Xf2xXf2Zm3a1ZkyYJEmSJM2DNiVhkiRJkjTzWtEJi4hzI+LrEbErIl43oTZsj4jPRMRXI+IrEfGqsnxbRHwyIr5Rvj9yQu3bEBFfioiPlccnRcQXyjG7JCI2T6BNR0XEpRHxtYi4PiKe3objFRGvLr/D6yLi/RGxdRLHKyLeFRF3RsR1HctWPD5R+ZPSvmsj4skNt+sPy+/x2oj4y4g4quO515d2fT0izhlXu9qgDbWotKO19cha1Fe7WlGLSltaV4+sRauzFvXUttbVotKO1tUja9FAbRp7LZp4JywiNgD/CXgOcBrw4og4bQJN2Q/8emaeBpwJvKK043XApzPzVODT5fEkvAq4vuPxHwBvycxTgO8DL5tAm94GfDwzfxx4YmnfRI9XRBwPvBJ4SmY+AdgAnMdkjtd7gHO7lq12fJ4DnFq+LgTe3nC7Pgk8ITNPB24AXg9Q/g2cB/xkec1/Lv9mZ06LahG0ux5Zi3rQsloE7axHK7XJWmQt6lUbaxG0rB5ZiwZu0/hrUWZO9At4OrCz4/Hrgde3oF0fBf4l8HXg2LLsWODrE2jLCVQfymcDHwOC6oZxG1c6hg216Ujgm5RxhR3LJ3q8gOOB3cA2YGM5XudM6ngBJwLXrXd8gD8DXrzSek20q+u5fwXsKD8f9O8R2Ak8vcnfaYOfnVbWotKWVtQja1Ff7WpVLSr7a109shat+L6tReu3o3W1qOy3dfXIWjRYm7qeG0stmngSxvKHo3ZzWTYxEXEi8CTgC8AxmXlbeep24JgJNOmtwGuAxfL4UcA9mbm/PJ7EMTsJuAt4d7kc4M8j4jAmfLwy8xbgj4DvALcB9wJXM/njVVvt+LTp38GvAH9Tfm5Tu8atle+1ZfXorViLejIFtQjaX4+sRZVWvFdrUU9aV4+sRSMxllrUhk5Yq0TE4cCHgF/LzB90PpdVl7fR6SQj4nnAnZl5dZP77cFG4MnA2zPzScD9dMXrEzpejwSeT1UIjwMO4+ERcytM4visJyLeQHX5yY5Jt0XtqkfWov5MUy2C9tUja1G7WIt61rp6ZC0azjhrURs6YbcA2zsen1CWNS4iNlEVmR2Z+eGy+I6IOLY8fyxwZ8PNOgv4uYj4FnAxVfT+NuCoiNhY1pnEMbsZuDkzv1AeX0pVeCZ9vH4a+GZm3pWZ+4APUx3DSR+v2mrHZ+L/DiLiJcDzgPNLEWxFuxrUqvfawnpkLepP22sRtLQeWYva9V6tRX1pYz2yFg1o3LWoDZ2wfwZOLbO0bKYa7HZZ042IiADeCVyfmX/c8dRlwAXl5wuoroduTGa+PjNPyMwTqY7N32bm+cBngBdOsF23A7sj4vFl0dnAV5nw8aKK28+MiEPL77Ru10SPV4fVjs9lwC+XmYDOBO7tiObHLiLOpbq04+cyc09Xe8+LiC0RcRLV4Nh/aqpdDWtFLYJ21iNrUd/aXoughfXIWgRYi9bU1lpU2tbGemQtGkAjtWgUg9mG/QKeSzXzyI3AGybUhmdQxZ/XAteUr+dSXWf8aeAbwKeAbRM8Ts8CPlZ+flz5pe8CPghsmUB7zgCuKsfsI8Aj23C8gP8H+BpwHfAXwJZJHC/g/VTXX++jOjv2stWOD9Wg4v9U/g38d6pZjJps1y6qa5zrz/47OtZ/Q2nX14HnNP37bPizM/FaVNrR6npkLeq5Xa2oRaUtratH1qI1j421qLf2taoWlXa0rh5ZiwZq09hrUZSNSZIkSZIa0IbLESVJkiRpbtgJkyRJkqQG2QmTJEmSpAbZCZMkSZKkBtkJkyRJkqQG2QmTJEmSpAbZCZMkSZKkBtkJkyRJkqQG/f+8469lDwDMqgAAAABJRU5ErkJggg==\n",
"text/plain": [
"<Figure size 1440x1800 with 3 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"(128, 128, 3)\n"
]
},
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 1440x1800 with 3 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"for i in range(10):\n",
" plot_predicted_data(generator, collected_routes, \"Test\", i)"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"predicted = predicted_test\n",
"seed = 1\n",
"\n",
"plt.figure(figsize=(17.5, 25))\n",
"\n",
"plt.subplot(1, 4, 1)\n",
"plt.imshow(collected_routes[seed, :, :, 0] * 2 + collected_routes[seed, :, :, 2], interpolation=\"nearest\")\n",
"plt.subplot(1, 4, 2)\n",
"plt.imshow(collected_routes[seed, :, :, 0] * 2 + predicted[seed, :, :] / predicted[seed, :, :].sum() * 100, interpolation=\"nearest\")\n",
"plt.subplot(1, 4, 3)\n",
"plt.imshow(predicted[seed, :, :], interpolation=\"nearest\")\n",
"plt.show()"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"pycharm": {
"name": "#%%\n"
}
},
"outputs": [],
"source": [
"# tf.keras.utils.plot_model(generator)"
]
},
{
"cell_type": "markdown",
"metadata": {
"pycharm": {
"name": "#%% md\n"
}
},
"source": [
"## Ausblick\n",
"Minimaldistanz ist or verknüpft nicht and verknüpft."
]
},
{
"cell_type": "markdown",
"metadata": {
"pycharm": {
"name": "#%% md\n"
}
},
"source": [
"## Literaturverzeichnis\n",
"\n",
"[1] Jang, Hoyun and Lee, Inwon and Seo, Hyoungseock: *Effectiveness of CFRP rudder aspect ratio for scale model catamaran racing yacht test*, 2017\n",
"\n",
"[2] Aurélien Géron: *Praxiseinstig Machinen Learning mit Scikit-Learn, Keras uind TensorFlow*, 2020, O.Reilly Verlag\n",
"\n",
"[3] Jun-Yan Zhu: *Image-to-Image Translation with Conditional Adversarial Networks*, 2018, Available: https://arxiv.org/abs/1611.07004\n",
"\n",
"[4] Tensorflow: *pix2pix: Image-to-image translation with a conditional GAN* Available: https://github.com/tensorflow/docs/blob/master/site/en/tutorials/generative/pix2pix.ipynb Commit: df4485e052523e0f852e83cea30ad319808bd97b\n",
"\n",
"[5] Keras: *Keras* Available: https://keras.io/"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"pycharm": {
"name": "#%%\n"
}
},
"outputs": [],
"source": [
"plt.imshow(predicted[seed, :, :] / predicted[seed, :, :].sum(), interpolation=\"nearest\")\n",
"plt.show()"
]
},
{
"cell_type": "markdown",
"metadata": {
"pycharm": {
"name": "#%% md\n"
}
},
"source": [
"@article{article,\n",
"author = {Jang, Hoyun and Lee, Inwon and Seo, Hyoungseock},\n",
"year = {2017},\n",
"month = {09},\n",
"pages = {4109-4117},\n",
"title = {Effectiveness of CFRP rudder aspect ratio for scale model catamaran racing yacht test},\n",
"volume = {31},\n",
"journal = {Journal of Mechanical Science and Technology},\n",
"doi = {10.1007/s12206-017-0807-8}\n",
"}"
]
},
{
"cell_type": "markdown",
"metadata": {
"pycharm": {
"name": "#%% md\n"
}
},
"source": [
"Ich würde auch zu 1. tendieren, stimme Ihnen aber zu, dass das Thema sehr umfangreich ist. Könnte man sich nicht einen Teilbereich herauspicken? Ich verstehe nicht viel vom Segeln, daher lassen Sie mich kurz zusammenfassen, was Sie vorhaben: - Sie generieren Trainingsdaten mit dem existierenden aber langsamen GD Algorithmus. Ich nehme an, es handelt sich um lokale Routen in einem relativ kleinen Kartenausschnitt. Lässt es die Laufzeit zu, dass Sie eine große Menge an Routen berechnen. - Sie haben dann eine Karte und als Ausgabe eine Liste der Wendepunkte - Warum wollen Sie daraus eine Heatmap berechnen? Diesen Schritt habe ich noch nicht verstanden - Wenn Sie aus einer Karte eine Heatmap trainieren wollen und dafür genügend Beispiele haben, könnnten GANs hilfreich sein: https://arxiv.org/abs/1611.07004 Ich würde Ihnen raten, das Problem möglichst so zu reduzieren, dass es im Rahmen des Moduls noch handhabbar bleibt. Alles Weitere kann man sich auch für spätere Arbeiten aufbewahren. Das 2. Thema ist auch ok. Aber vielleicht nicht ganz so spannend. Ich überlasse Ihnen die Entscheidung. Freundliche Grüße Heiner Giefers"
]
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3 (ipykernel)",
"language": "python",
"name": "python3"
},
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