ANN-route-predition/experiments/Experiments.ipynb

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{
"cells": [
{
"cell_type": "markdown",
"metadata": {
"pycharm": {
"name": "#%% md\n"
}
},
"source": [
"# A suggestion of curse changes for a robot sailboat\n",
"\n",
"## Motivation\n",
"\n",
"The goal of this project is to suggest good points to change the curse of a sailboat while going from point $A$ to point $B$.\n",
"\n",
"This project is done as part of the curse \"Maschienen Learning\" at the University of Applied Sciences South Westphalia. The code labeling the was writen by the team of the [Sailing Team Darmstadt e.V.](https://www.st-darmstadt.de/). A society of stundens whose goal it is to build the [\"roBOOTer\"](https://www.st-darmstadt.de/ueber-uns/boote/prototyp-ii/) a fully autonomous sailboat able to cross the atlantic ocean. A technical challenge that was mastered the first time only a few years ago by [a Norwegian team](http://sailbuoy.no/). I myself am part of the Sailing Team Darmstadt e.V. for nearly 10 years.\n",
"\n",
"One of the challenges to solve is a highly efficient way to find a path over the Ocean. The boot is only 2 meters long and powered by solar energy. That makes power a relatively spares commodity.\n",
"\n",
"## Situation as is\n",
"At the moment the pathfinding algorithm generates a set of more or less random routes to the goal. Each route than gets optimized by a gradient decent moving the curse change points over the ocean to find a path with the lowest cost that can be found by following the highest gradient. This is relatively inefficient since only local minima can be found for each of the randomly generated route. The route with the lowest cost for the so optimized route will be chosen as the final route.\n",
"The idea of this project is to ascertain if it is possible to generate a better initial route through a neural network to give the system a kind of good instinct for the initial routes to reduce optimization steps and the number fo routes that need to be calculated to find a good route. Even tough the initial calculation effort could be high the parallel calculation of 40 routes and lots of optimization steps make it possible that some calculation time and therefore energy can be saved this way.\n",
"The idea of this project is to ascertain if it is possible to generate a better initial route through a neural network to give the system a kind of good instinct for the initial routes to reduce optimization steps and the number fo routes that need to be calculated to find a good route. Even tough the initial calculation effort could be high the parallel calculation of 40 routes and lots of optimization steps make it possible that some calculation time and energy can be saved this way.\n",
"\n",
"## The Project\n",
"\n",
"The goal of this project is to calculate a good first route. That allows for some simplifications of this problem.\n",
"\n",
"Some solutions and assumptions can be made.\n",
"1. The route proposed by this network will not be the final route. This make a somewhat accurate solution good enough.\n",
"2. Since the neural network should not learn how to interpret a specific map but the concept of a map the map can be rotated.\n",
"This allows the wind to come always from north.\n",
"3. Since curse speed is only somewhat proportional to the wind speed a final course may change depending on wind speed not only direction.\n",
"These changes are however somewhat small compared to other influences and can hopefully be ignored since later processing of a proposed route should strait these details out.\n",
"4. When the wind comes always from the same direction (After map orientation by wind) map and route can be mirrored allowing to use all data twice for each route.\n",
"5. Scale does only matter when the curvature of the earth has a significant influence. Allowing for different scaling of the problem for additional training data.\n",
"\n",
"Since there is a solution for this project that only needs some optimisation we can used labeled data to train the network.\n",
"\n",
"### The generell structure\n",
"\n",
"Since"
]
},
{
"cell_type": "raw",
"metadata": {},
"source": [
"!pip install humanize"
]
},
{
"cell_type": "raw",
"metadata": {},
"source": [
"!pip install jupyter-resource-usage"
]
},
{
"cell_type": "raw",
"metadata": {},
"source": [
"!pip install h5py"
]
},
{
"cell_type": "code",
"execution_count": 1,
"metadata": {
"ExecuteTime": {
"end_time": "2022-07-11T18:34:16.223924Z",
"start_time": "2022-07-11T18:34:16.212695Z"
},
"pycharm": {
"name": "#%%\n"
}
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"/pyrate\n"
]
}
],
"source": [
"%cd /pyrate/"
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {
"ExecuteTime": {
"end_time": "2022-07-11T18:34:19.461827Z",
"start_time": "2022-07-11T18:34:16.227692Z"
},
"pycharm": {
"name": "#%%\n"
}
},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"2022-07-11 18:34:17.502696: W tensorflow/stream_executor/platform/default/dso_loader.cc:64] Could not load dynamic library 'libcudart.so.11.0'; dlerror: libcudart.so.11.0: cannot open shared object file: No such file or directory\n",
"2022-07-11 18:34:17.502773: I tensorflow/stream_executor/cuda/cudart_stub.cc:29] Ignore above cudart dlerror if you do not have a GPU set up on your machine.\n"
]
}
],
"source": [
"import os\n",
"from typing import Optional, Final, Literal\n",
"from math import pi\n",
"import glob\n",
"import pickle\n",
"\n",
"from tqdm.notebook import trange, tqdm\n",
"import matplotlib\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, split\n",
"import mapply\n",
"import tensorflow as tf\n",
"import tensorflow_addons as tfa"
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {
"ExecuteTime": {
"end_time": "2022-07-11T18:34:19.574805Z",
"start_time": "2022-07-11T18:34:19.465509Z"
},
"pycharm": {
"name": "#%%\n"
},
"scrolled": false
},
"outputs": [],
"source": [
"import experiments\n",
"from pyrate.plan.nearplanner.timing_frame import TimingFrame\n",
"from pyrate.plan.geometry.route import CartesianRoute"
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {
"ExecuteTime": {
"end_time": "2022-07-11T18:34:19.587273Z",
"start_time": "2022-07-11T18:34:19.580531Z"
}
},
"outputs": [],
"source": [
"tqdm.pandas()"
]
},
{
"cell_type": "code",
"execution_count": 5,
"metadata": {
"ExecuteTime": {
"end_time": "2022-07-11T18:34:19.598079Z",
"start_time": "2022-07-11T18:34:19.592567Z"
}
},
"outputs": [],
"source": [
"mapply.init(n_workers=-1, chunk_size=1000, progressbar=True, max_chunks_per_worker=100)"
]
},
{
"cell_type": "code",
"execution_count": 6,
"metadata": {
"ExecuteTime": {
"end_time": "2022-07-11T18:34:19.609069Z",
"start_time": "2022-07-11T18:34:19.603573Z"
},
"pycharm": {
"name": "#%%\n"
}
},
"outputs": [],
"source": [
"experiments.optimization_param.n_iter_grad = 50\n",
"experiments.optimization_param.verbose = False"
]
},
{
"cell_type": "code",
"execution_count": 7,
"metadata": {
"ExecuteTime": {
"end_time": "2022-07-11T18:34:19.620571Z",
"start_time": "2022-07-11T18:34:19.613072Z"
},
"pycharm": {
"name": "#%%\n"
}
},
"outputs": [],
"source": [
"SIZE_INNER: Final[int] = 75\n",
"SIZE_ROUTE: Final[int] = 100\n",
"MIN_DESTINATION_DISTANCE: Final[int] = 25\n",
"IMG_SIZE: Final[int] = 128\n",
"IMG_SHOW_SIZE: Final[int] = 400\n",
"NUMBER_OF_FILES_LIMIT: Final[int] = 100\n",
"\n",
"NO_SHOW = True\n",
"GENERATE_NEW = True"
]
},
{
"cell_type": "code",
"execution_count": 8,
"metadata": {
"ExecuteTime": {
"end_time": "2022-07-11T18:34:19.633565Z",
"start_time": "2022-07-11T18:34:19.625445Z"
},
"pycharm": {
"name": "#%%\n"
}
},
"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",
" angles: np.ndarray,\n",
"):\n",
" \"\"\"Transforms polar coordinates into cartesian coordinates.\n",
"\n",
" Args:\n",
" radii: A array of radii.\n",
" angles: A array of angles.\n",
"\n",
" Returns:\n",
" An array of cartesian coordinates.\n",
" \"\"\"\n",
" return radii * np.exp(2j * angles * np.pi)\n",
"\n",
"\n",
"def cartesian_to_polar(\n",
" x: np.ndarray,\n",
"):\n",
" \"\"\"Transforms cartesian coordinates into polar coordinates.\n",
"\n",
" Args:\n",
" x: A set of complex number to be separated into polar coordinates.\n",
"\n",
" Returns:\n",
" An distance array and an angle array.\n",
" \"\"\"\n",
" return abs(x), np.angle(x)"
]
},
{
"cell_type": "code",
"execution_count": 9,
"metadata": {
"ExecuteTime": {
"end_time": "2022-07-11T18:34:19.664193Z",
"start_time": "2022-07-11T18:34:19.639850Z"
},
"pycharm": {
"is_executing": true,
"name": "#%%\n"
}
},
"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 0x7f879cd1d2a0>"
]
},
"execution_count": 9,
"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 triangle.\n",
" \"\"\"\n",
" number_of_corners = np.random.randint(3, 10)\n",
" array = polar_to_cartesian(\n",
" np.random.lognormal(radius_mean, radius_sigma),\n",
" np.sort(np.random.rand(number_of_corners)),\n",
" )\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",
" # return_values[1, :] = np.real(offset)\n",
" return_values[:] = offset\n",
" return_values[:, :] += np.array((np.real(array), np.imag(array))).T\n",
" return Polygon(return_values)\n",
" # return np.array( + offset[0], np.imag(array) + offset[1])\n",
"\n",
"\n",
"np.random.seed(42)\n",
"random_polygon()"
]
},
{
"cell_type": "code",
"execution_count": 10,
"metadata": {
"ExecuteTime": {
"end_time": "2022-07-11T18:34:19.682424Z",
"start_time": "2022-07-11T18:34:19.674749Z"
},
"pycharm": {
"name": "#%%\n"
}
},
"outputs": [],
"source": [
"def generate_obstacles(\n",
" seed=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",
" if seed is not None:\n",
" np.random.seed(seed)\n",
" polygons = []\n",
" for _ in range(number_of_polygons):\n",
" poly = random_polygon(radius_mean, radius_sigma)\n",
" if poly.contains(Point(0, 0)):\n",
" continue\n",
" if poly.exterior.distance(Point(0, 0)) < 1:\n",
" continue\n",
" polygons.append(poly)\n",
" polygon_list = list(unary_union(polygons).geoms)\n",
" return {str(i): p for i, p in enumerate(polygon_list)}"
]
},
{
"cell_type": "code",
"execution_count": 11,
"metadata": {
"ExecuteTime": {
"end_time": "2022-07-11T18:34:19.712930Z",
"start_time": "2022-07-11T18:34:19.687742Z"
},
"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": "code",
"execution_count": 12,
"metadata": {
"ExecuteTime": {
"end_time": "2022-07-11T18:34:19.733293Z",
"start_time": "2022-07-11T18:34:19.718254Z"
},
"pycharm": {
"is_executing": true,
"name": "#%%\n"
}
},
"outputs": [],
"source": [
"def plot_situation(\n",
" obstacles: dict[str, Polygon],\n",
" destination: Point,\n",
" obstacle_color: str | None = None,\n",
" route: TimingFrame | np.ndarray | None = 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",
" # x.figure(figsize=(8, 8))\n",
" # plt.axis([70.9481331655341 - 5, 70.9481331655341 + 5, 43.24219045432384-5, 43.24219045432384+5])\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 obsticles.\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",
" # 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, TimingFrame):\n",
" plt.plot(route.points[:, 0], route.points[:, 1], color=\"BLUE\", marker=\".\")\n",
" elif isinstance(route, np.ndarray):\n",
" plt.plot(route[:, 0], route[:, 1], color=\"BLUE\", marker=\".\")\n",
" else:\n",
" raise TypeError()\n",
"\n",
" # Plots the estination\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": "code",
"execution_count": 13,
"metadata": {
"ExecuteTime": {
"end_time": "2022-07-11T18:34:19.749664Z",
"start_time": "2022-07-11T18:34:19.740070Z"
},
"pycharm": {
"is_executing": true,
"name": "#%%\n"
}
},
"outputs": [],
"source": [
"if not NO_SHOW:\n",
" plt.figure(figsize=(17.5, 25))\n",
" for seed in tqdm(range(12)):\n",
" plt.subplot(4, 3, seed + 1)\n",
" wind_dir = 180\n",
" obstacles = generate_obstacles(seed)\n",
" destination = generate_destination(obstacles, seed)\n",
" route = None\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 as e:\n",
" route = None\n",
" plot_situation(\n",
" obstacles=obstacles,\n",
" destination=destination,\n",
" obstacle_color=\"RED\",\n",
" route=route,\n",
" title=f\"Seed: {seed}, Cost: {route.cost:.3f}\",\n",
" legend=seed == 0,\n",
" )\n",
" plt.show()"
]
},
{
"cell_type": "code",
"execution_count": 14,
"metadata": {
"ExecuteTime": {
"end_time": "2022-07-11T18:34:19.769250Z",
"start_time": "2022-07-11T18:34:19.756225Z"
},
"pycharm": {
"is_executing": true,
"name": "#%%\n"
}
},
"outputs": [],
"source": [
"def generate_image_from_map(\n",
" obstacles: dict[str, Polygon],\n",
" destination: Point,\n",
" route_type: Literal[\"line\", \"dot\"],\n",
" route: np.ndarray | TimingFrame | None = None,\n",
" seed=None,\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",
" \"\"\"\n",
" img = Image.new(\n",
" \"RGB\",\n",
" (IMG_SIZE, IMG_SIZE),\n",
" \"#000000\",\n",
" )\n",
" draw = ImageDraw.Draw(img)\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",
" if isinstance(route, TimingFrame):\n",
" route = route.points\n",
" route = ((route + SIZE_ROUTE) / (2 * SIZE_ROUTE) * IMG_SIZE).astype(int)\n",
" if route_type == \"line\":\n",
" draw.line([tuple(point) for point in route], fill=(0, 0, 0xFF))\n",
" elif route_type == \"dot\":\n",
" for point in route[1:]:\n",
" try:\n",
" img.putpixel(point, (0, 0, 0xFF))\n",
" except IndexError as err:\n",
" print(point)\n",
" if seed:\n",
" print(f\"Seed: {seed}, Point: {point}\")\n",
" return None\n",
" pass\n",
" else:\n",
" raise ValueError(\"Route type unknown.\")\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": 15,
"metadata": {
"ExecuteTime": {
"end_time": "2022-07-11T18:34:19.784712Z",
"start_time": "2022-07-11T18:34:19.774368Z"
},
"pycharm": {
"is_executing": true,
"name": "#%%\n"
}
},
"outputs": [],
"source": [
"def generate_example_image(route_type: Literal[\"line\", \"dot\"]):\n",
" seed = 42\n",
" wind_dir = 180\n",
" obstacles = generate_obstacles(seed)\n",
" destination = generate_destination(obstacles, seed)\n",
" route = None\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 as e:\n",
" route = None\n",
" return generate_image_from_map(\n",
" obstacles=obstacles,\n",
" destination=destination,\n",
" route=route,\n",
" route_type=route_type,\n",
" )"
]
},
{
"cell_type": "code",
"execution_count": 16,
"metadata": {
"ExecuteTime": {
"end_time": "2022-07-11T18:34:19.798844Z",
"start_time": "2022-07-11T18:34:19.789736Z"
}
},
"outputs": [],
"source": [
"if not NO_SHOW:\n",
" generate_example_image(route_type=\"dot\").resize(\n",
" (IMG_SHOW_SIZE, IMG_SHOW_SIZE), Image.Resampling.BICUBIC\n",
" ).show()"
]
},
{
"cell_type": "code",
"execution_count": 17,
"metadata": {
"ExecuteTime": {
"end_time": "2022-07-11T18:34:19.810949Z",
"start_time": "2022-07-11T18:34:19.804587Z"
},
"pycharm": {
"is_executing": true,
"name": "#%%\n"
}
},
"outputs": [],
"source": [
"if not NO_SHOW:\n",
" generate_example_image(route_type=\"line\").resize(\n",
" (IMG_SHOW_SIZE, IMG_SHOW_SIZE), Image.Resampling.BICUBIC\n",
" ).show()"
]
},
{
"cell_type": "code",
"execution_count": 18,
"metadata": {
"ExecuteTime": {
"end_time": "2022-07-11T18:34:19.822370Z",
"start_time": "2022-07-11T18:34:19.815008Z"
}
},
"outputs": [],
"source": [
"if not NO_SHOW:\n",
" seed = 42\n",
" wind_dir = 180\n",
" obstacles = generate_obstacles(seed)\n",
" destination = generate_destination(obstacles, seed)\n",
" route = None\n",
" route, _ = experiments.generate_route(\n",
" position=Point(0, 0),\n",
" goal=destination,\n",
" obstacles=obstacles,\n",
" wind=(18, wind_dir),\n",
" )"
]
},
{
"cell_type": "code",
"execution_count": 19,
"metadata": {
"ExecuteTime": {
"end_time": "2022-07-11T18:34:19.834989Z",
"start_time": "2022-07-11T18:34:19.827279Z"
}
},
"outputs": [],
"source": [
"if not NO_SHOW:\n",
" for seed in tqdm([42]):\n",
" plt.figure(figsize=(8, 8))\n",
" wind_dir = 180\n",
" obstacles = generate_obstacles(seed)\n",
" destination = generate_destination(obstacles, seed)\n",
" route = None\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 as e:\n",
" route = None\n",
" plot_situation(\n",
" obstacles=obstacles,\n",
" destination=destination,\n",
" obstacle_color=\"RED\",\n",
" route=route,\n",
" title=f\"Seed: {seed}, Cost: {route.cost:.3f}\",\n",
" legend=seed == 0,\n",
" )\n",
" plt.show()"
]
},
{
"cell_type": "code",
"execution_count": 20,
"metadata": {
"ExecuteTime": {
"end_time": "2022-07-11T18:34:19.849543Z",
"start_time": "2022-07-11T18:34:19.839918Z"
},
"pycharm": {
"is_executing": true,
"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",
" obstacles = generate_obstacles(seed)\n",
" destination = generate_destination(obstacles, seed)\n",
"\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 as e:\n",
" print(\"Error\")\n",
" print(e)\n",
" route = None\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": "code",
"execution_count": 21,
"metadata": {
"ExecuteTime": {
"end_time": "2022-07-11T18:34:19.864373Z",
"start_time": "2022-07-11T18:34:19.853992Z"
},
"pycharm": {
"is_executing": true,
"name": "#%%\n"
}
},
"outputs": [],
"source": [
"if not NO_SHOW:\n",
" df = pd.DataFrame(\n",
" [generate_all_to_series(i, image=False) for i in tqdm(range(2))]\n",
" ).set_index(\"seed\")\n",
" df.to_pickle(\"test.pickle\")\n",
" df"
]
},
{
"cell_type": "markdown",
"metadata": {
"pycharm": {
"name": "#%% md\n"
}
},
"source": [
"https://programtalk.com/python-examples/PIL.ImageDraw.Draw.polygon/)\n",
"https://stackoverflow.com/questions/3654289/scipy-create-2d-polygon-mask"
]
},
{
"cell_type": "markdown",
"metadata": {
"pycharm": {
"is_executing": true,
"name": "#%%\n"
},
"scrolled": false
},
"source": [
"```python\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",
"files = glob.glob(\"data/*.pickle\")\n",
"seed_groups = {int(file[9:-7]) for file in files}\n",
"for next_seeds in range(start_seed, 10_000_000_000, save_frequency):\n",
" if next_seeds in seed_groups:\n",
" continue\n",
" print(f\"Start generating routes for seed: {next_seeds}\")\n",
" tmp_pickle_str: str = f\"data/tmp_{next_seeds:010}.pickle\"\n",
" pd.DataFrame().to_pickle(tmp_pickle_str)\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",
" pickle_to_file = f\"data/raw_{next_seeds:010}.pickle\"\n",
" df.to_pickle(pickle_to_file)\n",
" os.remove(tmp_pickle_str)\n",
" if not continues:\n",
" break\n",
"```"
]
},
{
"cell_type": "code",
"execution_count": 22,
"metadata": {
"ExecuteTime": {
"end_time": "2022-07-11T18:34:22.957476Z",
"start_time": "2022-07-11T18:34:19.869252Z"
},
"pycharm": {
"is_executing": true,
"name": "#%%\n"
}
},
"outputs": [
{
"data": {
"application/vnd.jupyter.widget-view+json": {
"model_id": "d258c85212de4108b7a2981d7f0bdc90",
"version_major": 2,
"version_minor": 0
},
"text/plain": [
" 0%| | 0/100 [00:00<?, ?it/s]"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
" 5000 maps collected\n",
" 4633 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>5043</th>\n",
" <td>{'0': POLYGON ((-97.17848102949412 -87.6302200...</td>\n",
" <td>-42.0</td>\n",
" <td>58.0</td>\n",
" <td>&lt;NA&gt;</td>\n",
" <td>[[0.0, 0.0], [-17.581061295760854, 6.486983123...</td>\n",
" <td>48079.922052</td>\n",
" </tr>\n",
" <tr>\n",
" <th>5044</th>\n",
" <td>{'0': POLYGON ((-21.480358556657755 -103.89997...</td>\n",
" <td>64.0</td>\n",
" <td>68.0</td>\n",
" <td>&lt;NA&gt;</td>\n",
" <td>[[0.0, 0.0], [1.155661243721632, 8.57324543724...</td>\n",
" <td>9580.39044</td>\n",
" </tr>\n",
" <tr>\n",
" <th>5045</th>\n",
" <td>{'0': POLYGON ((1.3857549075057696 -92.4233317...</td>\n",
" <td>62.0</td>\n",
" <td>36.0</td>\n",
" <td>&lt;NA&gt;</td>\n",
" <td>[[0.0, 0.0], [62.0, 36.0]]</td>\n",
" <td>114.532882</td>\n",
" </tr>\n",
" <tr>\n",
" <th>5047</th>\n",
" <td>{'0': POLYGON ((-99.59500547589474 -59.5289597...</td>\n",
" <td>-59.0</td>\n",
" <td>-70.0</td>\n",
" <td>&lt;NA&gt;</td>\n",
" <td>[[0.0, 0.0], [-59.0, -70.0]]</td>\n",
" <td>55.52741</td>\n",
" </tr>\n",
" <tr>\n",
" <th>5048</th>\n",
" <td>{'0': POLYGON ((-105.68258135922765 -70.781887...</td>\n",
" <td>69.0</td>\n",
" <td>35.0</td>\n",
" <td>&lt;NA&gt;</td>\n",
" <td>[[0.0, 0.0], [4.90187046897843, 6.039674046160...</td>\n",
" <td>7912.705859</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"<p>4633 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",
"5043 {'0': POLYGON ((-97.17848102949412 -87.6302200... -42.0 \n",
"5044 {'0': POLYGON ((-21.480358556657755 -103.89997... 64.0 \n",
"5045 {'0': POLYGON ((1.3857549075057696 -92.4233317... 62.0 \n",
"5047 {'0': POLYGON ((-99.59500547589474 -59.5289597... -59.0 \n",
"5048 {'0': POLYGON ((-105.68258135922765 -70.781887... 69.0 \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",
"5043 58.0 <NA> [[0.0, 0.0], [-17.581061295760854, 6.486983123... \n",
"5044 68.0 <NA> [[0.0, 0.0], [1.155661243721632, 8.57324543724... \n",
"5045 36.0 <NA> [[0.0, 0.0], [62.0, 36.0]] \n",
"5047 -70.0 <NA> [[0.0, 0.0], [-59.0, -70.0]] \n",
"5048 35.0 <NA> [[0.0, 0.0], [4.90187046897843, 6.039674046160... \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",
"5043 48079.922052 \n",
"5044 9580.39044 \n",
"5045 114.532882 \n",
"5047 55.52741 \n",
"5048 7912.705859 \n",
"\n",
"[4633 rows x 6 columns]"
]
},
"execution_count": 22,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"DATA_COLECTION_PATH: Final[str] = \"data/collected.pickle\"\n",
"if os.path.exists(DATA_COLECTION_PATH) and not GENERATE_NEW:\n",
" collected_data = pd.read_pickle(DATA_COLECTION_PATH)\n",
"else:\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",
" number_of_maps = len(collected_data.index)\n",
" print(f\"{number_of_maps: 10} maps collected\")\n",
" collected_data.dropna(subset=[\"route\"], inplace=True)\n",
" number_of_routes = len(collected_data.index)\n",
" print(f\"{number_of_routes: 10} routes collected\")\n",
" collected_data.to_pickle(DATA_COLECTION_PATH)\n",
"collected_data"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# find and drop all routes that exit the map!"
]
},
{
"cell_type": "code",
"execution_count": 23,
"metadata": {
"ExecuteTime": {
"end_time": "2022-07-11T18:34:23.421419Z",
"start_time": "2022-07-11T18:34:22.961997Z"
},
"scrolled": false
},
"outputs": [
{
"data": {
"application/vnd.jupyter.widget-view+json": {
"model_id": "716cda0b5b564e738740e80c00462265",
"version_major": 2,
"version_minor": 0
},
"text/plain": [
" 0%| | 0/4 [00:00<?, ?it/s]"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"4633 - 21 = 4612 sets of data remaining.\n"
]
}
],
"source": [
"def check_route_in_bounds(route):\n",
"\n",
" # easier to debut in multiple lines\n",
" if route is None:\n",
" return False\n",
" if route is pd.NA:\n",
" return False\n",
" if not isinstance(route, np.ndarray):\n",
" return False\n",
" if np.array(\n",
" abs(route) > 100,\n",
" ).any():\n",
" return False\n",
" return True\n",
"\n",
"\n",
"data_before = len(collected_data.index)\n",
"\n",
"df_filter = collected_data[\"route\"].mapply(check_route_in_bounds)\n",
"filtered = collected_data[~df_filter]\n",
"collected_data = collected_data[df_filter]\n",
"\n",
"data_after = len(collected_data.index)\n",
"\n",
"print(\n",
" f\"{data_before} - {data_before-data_after} = {data_after} sets of data remaining.\"\n",
")\n",
"del data_before, data_after, filtered, df_filter"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# find and drop all routes with errors!\n"
]
},
{
"cell_type": "code",
"execution_count": 24,
"metadata": {
"ExecuteTime": {
"end_time": "2022-07-11T18:34:23.847712Z",
"start_time": "2022-07-11T18:34:23.424364Z"
}
},
"outputs": [
{
"data": {
"application/vnd.jupyter.widget-view+json": {
"model_id": "5d822bd6baaf4666a48e867c8708814b",
"version_major": 2,
"version_minor": 0
},
"text/plain": [
" 0%| | 0/4 [00:00<?, ?it/s]"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"4612 - 389 = 4223 sets of data remaining.\n"
]
}
],
"source": [
"def check_route_self_crossing(route):\n",
" if isinstance(route, float):\n",
" print(float)\n",
" return not LineString(route).is_simple\n",
"\n",
"\n",
"data_before = len(collected_data.index)\n",
"collected_data = collected_data[\n",
" ~collected_data[\"route\"].mapply(check_route_self_crossing)\n",
"]\n",
"data_after = len(collected_data.index)\n",
"print(\n",
" f\"{data_before} - {data_before-data_after} = {data_after} sets of data remaining.\"\n",
")\n",
"del data_before, data_after"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# distribution over costs and points in rutes routes!"
]
},
{
"cell_type": "code",
"execution_count": 25,
"metadata": {
"ExecuteTime": {
"end_time": "2022-07-11T18:34:23.863906Z",
"start_time": "2022-07-11T18:34:23.852977Z"
}
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"211 entries over the 0.95 quantile at 39902.958\n"
]
}
],
"source": [
"QUNATILE_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",
" QUNATILE_LIMIT\n",
" )\n",
" OVER_QUANTILE: Final[int] = int(len(collected_data.index) * (1 - QUNATILE_LIMIT))\n",
"print(\n",
" f\"{OVER_QUANTILE} entries over the {QUNATILE_LIMIT} quantile at {DATA_UPPER_LIMIT_QUANTIL:.3f}\"\n",
")"
]
},
{
"cell_type": "code",
"execution_count": 26,
"metadata": {
"ExecuteTime": {
"end_time": "2022-07-11T18:34:24.022327Z",
"start_time": "2022-07-11T18:34:23.867460Z"
}
},
"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=10, log=False) # find a drop limit\n",
"plt.axvline(x=DATA_UPPER_LIMIT_QUANTIL, color=\"RED\", label=\"95% Quantil\")\n",
"plt.legend()\n",
"plt.show()"
]
},
{
"cell_type": "code",
"execution_count": 27,
"metadata": {
"ExecuteTime": {
"end_time": "2022-07-11T18:34:26.440028Z",
"start_time": "2022-07-11T18:34:24.025987Z"
},
"scrolled": false
},
"outputs": [
{
"data": {
"application/vnd.jupyter.widget-view+json": {
"model_id": "6a77a51f117646a5873e48f8cc45fddc",
"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": "code",
"execution_count": 28,
"metadata": {
"ExecuteTime": {
"end_time": "2022-07-11T18:34:26.499749Z",
"start_time": "2022-07-11T18:34:26.450483Z"
}
},
"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>5041</th>\n",
" <td>{'0': POLYGON ((-27.141984707823323 -99.785221...</td>\n",
" <td>48.0</td>\n",
" <td>37.0</td>\n",
" <td>&lt;NA&gt;</td>\n",
" <td>[[0.0, 0.0], [2.490366796957902, 5.01962884879...</td>\n",
" <td>5970.65358</td>\n",
" </tr>\n",
" <tr>\n",
" <th>5044</th>\n",
" <td>{'0': POLYGON ((-21.480358556657755 -103.89997...</td>\n",
" <td>64.0</td>\n",
" <td>68.0</td>\n",
" <td>&lt;NA&gt;</td>\n",
" <td>[[0.0, 0.0], [1.155661243721632, 8.57324543724...</td>\n",
" <td>9580.39044</td>\n",
" </tr>\n",
" <tr>\n",
" <th>5045</th>\n",
" <td>{'0': POLYGON ((1.3857549075057696 -92.4233317...</td>\n",
" <td>62.0</td>\n",
" <td>36.0</td>\n",
" <td>&lt;NA&gt;</td>\n",
" <td>[[0.0, 0.0], [62.0, 36.0]]</td>\n",
" <td>114.532882</td>\n",
" </tr>\n",
" <tr>\n",
" <th>5047</th>\n",
" <td>{'0': POLYGON ((-99.59500547589474 -59.5289597...</td>\n",
" <td>-59.0</td>\n",
" <td>-70.0</td>\n",
" <td>&lt;NA&gt;</td>\n",
" <td>[[0.0, 0.0], [-59.0, -70.0]]</td>\n",
" <td>55.52741</td>\n",
" </tr>\n",
" <tr>\n",
" <th>5048</th>\n",
" <td>{'0': POLYGON ((-105.68258135922765 -70.781887...</td>\n",
" <td>69.0</td>\n",
" <td>35.0</td>\n",
" <td>&lt;NA&gt;</td>\n",
" <td>[[0.0, 0.0], [4.90187046897843, 6.039674046160...</td>\n",
" <td>7912.705859</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"<p>4011 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",
"5041 {'0': POLYGON ((-27.141984707823323 -99.785221... 48.0 \n",
"5044 {'0': POLYGON ((-21.480358556657755 -103.89997... 64.0 \n",
"5045 {'0': POLYGON ((1.3857549075057696 -92.4233317... 62.0 \n",
"5047 {'0': POLYGON ((-99.59500547589474 -59.5289597... -59.0 \n",
"5048 {'0': POLYGON ((-105.68258135922765 -70.781887... 69.0 \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",
"5041 37.0 <NA> [[0.0, 0.0], [2.490366796957902, 5.01962884879... \n",
"5044 68.0 <NA> [[0.0, 0.0], [1.155661243721632, 8.57324543724... \n",
"5045 36.0 <NA> [[0.0, 0.0], [62.0, 36.0]] \n",
"5047 -70.0 <NA> [[0.0, 0.0], [-59.0, -70.0]] \n",
"5048 35.0 <NA> [[0.0, 0.0], [4.90187046897843, 6.039674046160... \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",
"5041 5970.65358 \n",
"5044 9580.39044 \n",
"5045 114.532882 \n",
"5047 55.52741 \n",
"5048 7912.705859 \n",
"\n",
"[4011 rows x 6 columns]"
]
},
"execution_count": 28,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"collected_data = collected_data.loc[collected_data[\"cost\"] < DATA_UPPER_LIMIT_QUANTIL]\n",
"collected_data"
]
},
{
"cell_type": "code",
"execution_count": 29,
"metadata": {
"ExecuteTime": {
"end_time": "2022-07-11T18:34:26.837920Z",
"start_time": "2022-07-11T18:34:26.504277Z"
}
},
"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.show()"
]
},
{
"cell_type": "code",
"execution_count": 30,
"metadata": {
"ExecuteTime": {
"end_time": "2022-07-11T18:34:28.494500Z",
"start_time": "2022-07-11T18:34:26.842407Z"
},
"scrolled": false
},
"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": [
"collected_data[collected_data[\"cost\"] < DATA_UPPER_LIMIT_QUANTIL]\n",
"\n",
"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()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Visualize Complexity"
]
},
{
"cell_type": "code",
"execution_count": 31,
"metadata": {
"ExecuteTime": {
"end_time": "2022-07-11T18:34:28.506644Z",
"start_time": "2022-07-11T18:34:28.497676Z"
}
},
"outputs": [],
"source": [
"def get_route_points(data):\n",
" df = data[\"route\"].apply(lambda r: r.shape[0] - 1)\n",
" df.name = \"route complexity\"\n",
" return df\n",
"\n",
"\n",
"route_points = get_route_points(collected_data)"
]
},
{
"cell_type": "code",
"execution_count": 32,
"metadata": {
"ExecuteTime": {
"end_time": "2022-07-11T18:34:28.623493Z",
"start_time": "2022-07-11T18:34:28.510989Z"
}
},
"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": [
"route_points.plot.hist()\n",
"plt.show()"
]
},
{
"cell_type": "code",
"execution_count": 33,
"metadata": {
"ExecuteTime": {
"end_time": "2022-07-11T18:34:28.634493Z",
"start_time": "2022-07-11T18:34:28.627196Z"
}
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"4011 - 274 = 3737 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": 34,
"metadata": {
"ExecuteTime": {
"end_time": "2022-07-11T18:34:28.773895Z",
"start_time": "2022-07-11T18:34:28.638505Z"
}
},
"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=13)\n",
"plt.show()"
]
},
{
"cell_type": "code",
"execution_count": 35,
"metadata": {
"ExecuteTime": {
"end_time": "2022-07-11T18:34:28.789074Z",
"start_time": "2022-07-11T18:34:28.777273Z"
}
},
"outputs": [
{
"data": {
"text/plain": [
"1 1620\n",
"2 24\n",
"3 38\n",
"4 113\n",
"5 382\n",
"6 75\n",
"7 125\n",
"8 155\n",
"9 145\n",
"10 157\n",
"11 226\n",
"12 224\n",
"13 200\n",
"14 149\n",
"15 104\n",
"Name: route complexity, dtype: int64"
]
},
"execution_count": 35,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"get_route_points(collected_data).value_counts().sort_index()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Dropping routes that are to easy "
]
},
{
"cell_type": "code",
"execution_count": 36,
"metadata": {
"ExecuteTime": {
"end_time": "2022-07-11T18:34:28.801868Z",
"start_time": "2022-07-11T18:34:28.793309Z"
}
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Limiting simple cases to 5.0% of the total routes. Reducing simple routes to 11.0% of theire volume.\n"
]
}
],
"source": [
"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(1, 1)\n",
" if 1 in values.index\n",
" else 1\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 theire volume.\"\n",
")"
]
},
{
"cell_type": "code",
"execution_count": 37,
"metadata": {
"ExecuteTime": {
"end_time": "2022-07-11T18:34:28.945307Z",
"start_time": "2022-07-11T18:34:28.806425Z"
}
},
"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 = collected_data[\n",
" (\n",
" (get_route_points(collected_data) > 1)\n",
" | (np.random.random(len(collected_data.index)) < chance_limit)\n",
" )\n",
"]\n",
"get_route_points(collected_data).plot.hist(bins=13)\n",
"plt.show()"
]
},
{
"cell_type": "code",
"execution_count": 38,
"metadata": {
"ExecuteTime": {
"end_time": "2022-07-11T18:34:28.962854Z",
"start_time": "2022-07-11T18:34:28.949690Z"
}
},
"outputs": [
{
"data": {
"text/plain": [
"1 174\n",
"2 24\n",
"3 38\n",
"4 113\n",
"5 382\n",
"6 75\n",
"7 125\n",
"8 155\n",
"9 145\n",
"10 157\n",
"11 226\n",
"12 224\n",
"13 200\n",
"14 149\n",
"15 104\n",
"Name: route complexity, dtype: int64"
]
},
"execution_count": 38,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"get_route_points(collected_data).value_counts().sort_index()"
]
},
{
"cell_type": "code",
"execution_count": 39,
"metadata": {
"ExecuteTime": {
"end_time": "2022-07-11T18:34:29.030033Z",
"start_time": "2022-07-11T18:34:28.966774Z"
}
},
"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>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>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>[[0.0, 0.0], [10.886352485821806, -16.87002927...</td>\n",
" <td>63.479684</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>...</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>5034</th>\n",
" <td>{'0': POLYGON ((-48.94669508881438 -43.8785808...</td>\n",
" <td>-49.0</td>\n",
" <td>25.0</td>\n",
" <td>&lt;NA&gt;</td>\n",
" <td>[[0.0, 0.0], [-6.7135078992502235, -0.26701365...</td>\n",
" <td>631.293022</td>\n",
" </tr>\n",
" <tr>\n",
" <th>5035</th>\n",
" <td>{'0': POLYGON ((-24.170482600477584 -90.730767...</td>\n",
" <td>55.0</td>\n",
" <td>-52.0</td>\n",
" <td>&lt;NA&gt;</td>\n",
" <td>[[0.0, 0.0], [5.352102390649866, 5.35210239064...</td>\n",
" <td>126.366345</td>\n",
" </tr>\n",
" <tr>\n",
" <th>5041</th>\n",
" <td>{'0': POLYGON ((-27.141984707823323 -99.785221...</td>\n",
" <td>48.0</td>\n",
" <td>37.0</td>\n",
" <td>&lt;NA&gt;</td>\n",
" <td>[[0.0, 0.0], [2.490366796957902, 5.01962884879...</td>\n",
" <td>5970.65358</td>\n",
" </tr>\n",
" <tr>\n",
" <th>5044</th>\n",
" <td>{'0': POLYGON ((-21.480358556657755 -103.89997...</td>\n",
" <td>64.0</td>\n",
" <td>68.0</td>\n",
" <td>&lt;NA&gt;</td>\n",
" <td>[[0.0, 0.0], [1.155661243721632, 8.57324543724...</td>\n",
" <td>9580.39044</td>\n",
" </tr>\n",
" <tr>\n",
" <th>5048</th>\n",
" <td>{'0': POLYGON ((-105.68258135922765 -70.781887...</td>\n",
" <td>69.0</td>\n",
" <td>35.0</td>\n",
" <td>&lt;NA&gt;</td>\n",
" <td>[[0.0, 0.0], [4.90187046897843, 6.039674046160...</td>\n",
" <td>7912.705859</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"<p>2291 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",
"5 {'0': POLYGON ((-71.45682729091783 -138.627922... -67.0 \n",
"7 {'0': POLYGON ((10.806865516434499 -102.670968... 67.0 \n",
"8 {'0': POLYGON ((-38.740101054728726 -89.986420... 58.0 \n",
"... ... ... \n",
"5034 {'0': POLYGON ((-48.94669508881438 -43.8785808... -49.0 \n",
"5035 {'0': POLYGON ((-24.170482600477584 -90.730767... 55.0 \n",
"5041 {'0': POLYGON ((-27.141984707823323 -99.785221... 48.0 \n",
"5044 {'0': POLYGON ((-21.480358556657755 -103.89997... 64.0 \n",
"5048 {'0': POLYGON ((-105.68258135922765 -70.781887... 69.0 \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",
"5 37.0 <NA> [[0.0, 0.0], [-42.539218405821984, 15.14880405... \n",
"7 -52.0 <NA> [[0.0, 0.0], [10.886352485821806, -16.87002927... \n",
"8 61.0 <NA> [[0.0, 0.0], [-8.211437427025228, -1.293253961... \n",
"... ... ... ... \n",
"5034 25.0 <NA> [[0.0, 0.0], [-6.7135078992502235, -0.26701365... \n",
"5035 -52.0 <NA> [[0.0, 0.0], [5.352102390649866, 5.35210239064... \n",
"5041 37.0 <NA> [[0.0, 0.0], [2.490366796957902, 5.01962884879... \n",
"5044 68.0 <NA> [[0.0, 0.0], [1.155661243721632, 8.57324543724... \n",
"5048 35.0 <NA> [[0.0, 0.0], [4.90187046897843, 6.039674046160... \n",
"\n",
" cost \n",
"seed \n",
"0 100.151629 \n",
"2 18967.522925 \n",
"5 186.095369 \n",
"7 63.479684 \n",
"8 16899.906926 \n",
"... ... \n",
"5034 631.293022 \n",
"5035 126.366345 \n",
"5041 5970.65358 \n",
"5044 9580.39044 \n",
"5048 7912.705859 \n",
"\n",
"[2291 rows x 6 columns]"
]
},
"execution_count": 39,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"collected_data"
]
},
{
"cell_type": "code",
"execution_count": 40,
"metadata": {
"ExecuteTime": {
"end_time": "2022-07-11T18:34:29.039493Z",
"start_time": "2022-07-11T18:34:29.033596Z"
}
},
"outputs": [],
"source": [
"del chance_limit"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Memory consumption"
]
},
{
"cell_type": "code",
"execution_count": 41,
"metadata": {
"ExecuteTime": {
"end_time": "2022-07-11T18:34:29.105061Z",
"start_time": "2022-07-11T18:34:29.043526Z"
}
},
"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>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>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>[[0.0, 0.0], [10.886352485821806, -16.87002927...</td>\n",
" <td>63.479684</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>...</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>5034</th>\n",
" <td>{'0': POLYGON ((-48.94669508881438 -43.8785808...</td>\n",
" <td>-49.0</td>\n",
" <td>25.0</td>\n",
" <td>&lt;NA&gt;</td>\n",
" <td>[[0.0, 0.0], [-6.7135078992502235, -0.26701365...</td>\n",
" <td>631.293022</td>\n",
" </tr>\n",
" <tr>\n",
" <th>5035</th>\n",
" <td>{'0': POLYGON ((-24.170482600477584 -90.730767...</td>\n",
" <td>55.0</td>\n",
" <td>-52.0</td>\n",
" <td>&lt;NA&gt;</td>\n",
" <td>[[0.0, 0.0], [5.352102390649866, 5.35210239064...</td>\n",
" <td>126.366345</td>\n",
" </tr>\n",
" <tr>\n",
" <th>5041</th>\n",
" <td>{'0': POLYGON ((-27.141984707823323 -99.785221...</td>\n",
" <td>48.0</td>\n",
" <td>37.0</td>\n",
" <td>&lt;NA&gt;</td>\n",
" <td>[[0.0, 0.0], [2.490366796957902, 5.01962884879...</td>\n",
" <td>5970.65358</td>\n",
" </tr>\n",
" <tr>\n",
" <th>5044</th>\n",
" <td>{'0': POLYGON ((-21.480358556657755 -103.89997...</td>\n",
" <td>64.0</td>\n",
" <td>68.0</td>\n",
" <td>&lt;NA&gt;</td>\n",
" <td>[[0.0, 0.0], [1.155661243721632, 8.57324543724...</td>\n",
" <td>9580.39044</td>\n",
" </tr>\n",
" <tr>\n",
" <th>5048</th>\n",
" <td>{'0': POLYGON ((-105.68258135922765 -70.781887...</td>\n",
" <td>69.0</td>\n",
" <td>35.0</td>\n",
" <td>&lt;NA&gt;</td>\n",
" <td>[[0.0, 0.0], [4.90187046897843, 6.039674046160...</td>\n",
" <td>7912.705859</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"<p>2291 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",
"5 {'0': POLYGON ((-71.45682729091783 -138.627922... -67.0 \n",
"7 {'0': POLYGON ((10.806865516434499 -102.670968... 67.0 \n",
"8 {'0': POLYGON ((-38.740101054728726 -89.986420... 58.0 \n",
"... ... ... \n",
"5034 {'0': POLYGON ((-48.94669508881438 -43.8785808... -49.0 \n",
"5035 {'0': POLYGON ((-24.170482600477584 -90.730767... 55.0 \n",
"5041 {'0': POLYGON ((-27.141984707823323 -99.785221... 48.0 \n",
"5044 {'0': POLYGON ((-21.480358556657755 -103.89997... 64.0 \n",
"5048 {'0': POLYGON ((-105.68258135922765 -70.781887... 69.0 \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",
"5 37.0 <NA> [[0.0, 0.0], [-42.539218405821984, 15.14880405... \n",
"7 -52.0 <NA> [[0.0, 0.0], [10.886352485821806, -16.87002927... \n",
"8 61.0 <NA> [[0.0, 0.0], [-8.211437427025228, -1.293253961... \n",
"... ... ... ... \n",
"5034 25.0 <NA> [[0.0, 0.0], [-6.7135078992502235, -0.26701365... \n",
"5035 -52.0 <NA> [[0.0, 0.0], [5.352102390649866, 5.35210239064... \n",
"5041 37.0 <NA> [[0.0, 0.0], [2.490366796957902, 5.01962884879... \n",
"5044 68.0 <NA> [[0.0, 0.0], [1.155661243721632, 8.57324543724... \n",
"5048 35.0 <NA> [[0.0, 0.0], [4.90187046897843, 6.039674046160... \n",
"\n",
" cost \n",
"seed \n",
"0 100.151629 \n",
"2 18967.522925 \n",
"5 186.095369 \n",
"7 63.479684 \n",
"8 16899.906926 \n",
"... ... \n",
"5034 631.293022 \n",
"5035 126.366345 \n",
"5041 5970.65358 \n",
"5044 9580.39044 \n",
"5048 7912.705859 \n",
"\n",
"[2291 rows x 6 columns]"
]
},
"execution_count": 41,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"collected_data"
]
},
{
"cell_type": "code",
"execution_count": 42,
"metadata": {
"ExecuteTime": {
"end_time": "2022-07-11T18:34:29.149676Z",
"start_time": "2022-07-11T18:34:29.111848Z"
}
},
"outputs": [
{
"data": {
"text/plain": [
"'246.8 kB'"
]
},
"execution_count": 42,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"import humanize\n",
"import sys\n",
"\n",
"\n",
"def generate_image_maps(row, route_type: Literal[\"dot\", \"line\"]):\n",
" img = np.expand_dims(\n",
" np.asarray(\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",
" seed=row.name,\n",
" )\n",
" ),\n",
" axis=0,\n",
" )\n",
" img = img // 0xFF\n",
" return img\n",
"\n",
"\n",
"generated = collected_data.head().apply(generate_image_maps, axis=1, args=(\"dot\",))\n",
"humanize.naturalsize(generated.memory_usage(deep=True))"
]
},
{
"cell_type": "code",
"execution_count": 43,
"metadata": {
"ExecuteTime": {
"end_time": "2022-07-11T18:34:29.160218Z",
"start_time": "2022-07-11T18:34:29.154190Z"
}
},
"outputs": [],
"source": [
"if \"image\" in collected_data.columns:\n",
" del collected_data[\"image\"]"
]
},
{
"cell_type": "code",
"execution_count": 44,
"metadata": {
"ExecuteTime": {
"end_time": "2022-07-11T18:34:30.030972Z",
"start_time": "2022-07-11T18:34:29.164607Z"
}
},
"outputs": [],
"source": [
"DATA_WITH_IMG_PATH: Final[str] = \"data/collected_and_filtered.pickle\"\n",
"if os.path.exists(DATA_WITH_IMG_PATH) and not GENERATE_NEW:\n",
" collected_data = pd.read_pickle(DATA_WITH_IMG_PATH)\n",
"else:\n",
" collected_data.to_pickle(DATA_WITH_IMG_PATH)"
]
},
{
"cell_type": "code",
"execution_count": 45,
"metadata": {
"ExecuteTime": {
"end_time": "2022-07-11T18:34:35.027458Z",
"start_time": "2022-07-11T18:34:30.033852Z"
}
},
"outputs": [
{
"data": {
"application/vnd.jupyter.widget-view+json": {
"model_id": "2714b97790dd4acabec798c503b007a1",
"version_major": 2,
"version_minor": 0
},
"text/plain": [
" 0%| | 0/2291 [00:00<?, ?it/s]"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"image_series = collected_data.progress_apply(\n",
" generate_image_maps, axis=1, args=(\"line\",)\n",
")\n",
"\n",
"# collected_data[\"image_lines\"] = collected_data.apply(\n",
"# generate_image_maps, axis=1, args=(\"line\",)\n",
"# )"
]
},
{
"cell_type": "code",
"execution_count": 46,
"metadata": {
"ExecuteTime": {
"end_time": "2022-07-11T18:34:35.085664Z",
"start_time": "2022-07-11T18:34:35.032718Z"
}
},
"outputs": [],
"source": [
"collected_routes = np.concatenate(image_series)\n",
"del image_series"
]
},
{
"cell_type": "code",
"execution_count": 47,
"metadata": {
"ExecuteTime": {
"end_time": "2022-07-11T18:34:35.095020Z",
"start_time": "2022-07-11T18:34:35.088433Z"
}
},
"outputs": [
{
"data": {
"text/plain": [
"'112.6 MB'"
]
},
"execution_count": 47,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"humanize.naturalsize(sys.getsizeof(collected_routes))"
]
},
{
"cell_type": "code",
"execution_count": 48,
"metadata": {
"ExecuteTime": {
"end_time": "2022-07-11T18:34:35.107314Z",
"start_time": "2022-07-11T18:34:35.099032Z"
}
},
"outputs": [
{
"data": {
"text/plain": [
"dtype('uint8')"
]
},
"execution_count": 48,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"collected_routes.dtype"
]
},
{
"cell_type": "code",
"execution_count": 49,
"metadata": {
"ExecuteTime": {
"end_time": "2022-07-11T18:34:35.124351Z",
"start_time": "2022-07-11T18:34:35.111145Z"
}
},
"outputs": [
{
"data": {
"text/plain": [
"{'collected_routes': '112.6 MB',\n",
" 'collected_data': '2.8 MB',\n",
" 'route_points': '276.0 kB',\n",
" 'generated': '246.9 kB',\n",
" 'row': '2.0 kB',\n",
" 'CartesianRoute': '1.1 kB',\n",
" 'LineString': '1.1 kB',\n",
" 'Point': '1.1 kB',\n",
" 'TimingFrame': '1.1 kB',\n",
" 'Polygon': '904 Bytes'}"
]
},
"execution_count": 49,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"memory = sorted(\n",
" [\n",
" (x, sys.getsizeof(globals().get(x)))\n",
" for x in dir()\n",
" if not x.startswith(\"_\") and x not in sys.modules\n",
" ],\n",
" key=lambda x: x[1],\n",
" reverse=True,\n",
")\n",
"memory = {name: humanize.naturalsize(mem) for name, mem in memory[:10]}\n",
"memory"
]
},
{
"cell_type": "code",
"execution_count": 50,
"metadata": {
"ExecuteTime": {
"end_time": "2022-07-11T18:34:35.811285Z",
"start_time": "2022-07-11T18:34:35.128881Z"
}
},
"outputs": [],
"source": [
"COLLECTED_ROUTES_DUMP = \"data/collected_routes_np.pickle\"\n",
"with open(COLLECTED_ROUTES_DUMP, \"wb\") as f:\n",
" pickle.dump(collected_routes, f)\n",
"\n",
"# with open(COLLECTED_ROUTES_DUMP,'rb') as f: collected_routes = pickle.load(f)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"[Pix2Pix Tensorflow](https://www.tensorflow.org/tutorials/generative/pix2pix)"
]
},
{
"cell_type": "code",
"execution_count": 51,
"metadata": {
"ExecuteTime": {
"end_time": "2022-07-11T18:34:35.846820Z",
"start_time": "2022-07-11T18:34:35.815078Z"
}
},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"2022-07-11 18:34:35.822076: W tensorflow/stream_executor/platform/default/dso_loader.cc:64] Could not load dynamic library 'libcuda.so.1'; dlerror: libcuda.so.1: cannot open shared object file: No such file or directory\n",
"2022-07-11 18:34:35.822130: W tensorflow/stream_executor/cuda/cuda_driver.cc:269] failed call to cuInit: UNKNOWN ERROR (303)\n",
"2022-07-11 18:34:35.822152: I tensorflow/stream_executor/cuda/cuda_diagnostics.cc:156] kernel driver does not appear to be running on this host (f874d07da7f2): /proc/driver/nvidia/version does not exist\n",
"2022-07-11 18:34:35.822569: I tensorflow/core/platform/cpu_feature_guard.cc:193] This TensorFlow binary is optimized with oneAPI Deep Neural Network Library (oneDNN) to use the following CPU instructions in performance-critical operations: AVX2 FMA\n",
"To enable them in other operations, rebuild TensorFlow with the appropriate compiler flags.\n"
]
},
{
"data": {
"text/plain": [
"<keras.engine.sequential.Sequential at 0x7f8797ea05b0>"
]
},
"execution_count": 51,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# Source: https://www.tensorflow.org/tutorials/generative/pix2pix\n",
"def downsample(filters, size, apply_batchnorm=True):\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\n",
"\n",
"\n",
"downsample(64, 4)"
]
},
{
"cell_type": "code",
"execution_count": 52,
"metadata": {
"ExecuteTime": {
"end_time": "2022-07-11T18:34:35.859119Z",
"start_time": "2022-07-11T18:34:35.852272Z"
}
},
"outputs": [
{
"data": {
"text/plain": [
"(128, 128, 3)"
]
},
"execution_count": 52,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"collected_routes[0].shape"
]
},
{
"cell_type": "code",
"execution_count": 53,
"metadata": {
"ExecuteTime": {
"end_time": "2022-07-11T18:34:35.873070Z",
"start_time": "2022-07-11T18:34:35.862530Z"
}
},
"outputs": [
{
"data": {
"text/plain": [
"TensorShape([1, 128, 128, 3])"
]
},
"execution_count": 53,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"tf.expand_dims(collected_routes[0], 0).shape"
]
},
{
"cell_type": "code",
"execution_count": 54,
"metadata": {
"ExecuteTime": {
"end_time": "2022-07-11T18:34:35.948246Z",
"start_time": "2022-07-11T18:34:35.877228Z"
}
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"(1, 64, 64, 3)\n"
]
}
],
"source": [
"down_model = downsample(3, 4)\n",
"tf.cast(tf.expand_dims(collected_routes[1], 0), \"float16\", name=None)\n",
"\n",
"down_result = down_model(\n",
" tf.cast(tf.expand_dims(collected_routes[1], 0), \"float16\", name=None)\n",
")\n",
"print(down_result.shape)"
]
},
{
"cell_type": "code",
"execution_count": 55,
"metadata": {
"ExecuteTime": {
"end_time": "2022-07-11T18:34:35.959098Z",
"start_time": "2022-07-11T18:34:35.953165Z"
}
},
"outputs": [],
"source": [
"# Source: https://www.tensorflow.org/tutorials/generative/pix2pix\n",
"def upsample(filters, size, apply_dropout=False):\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": "code",
"execution_count": 56,
"metadata": {
"ExecuteTime": {
"end_time": "2022-07-11T18:34:36.012492Z",
"start_time": "2022-07-11T18:34:35.963668Z"
}
},
"outputs": [
{
"data": {
"text/plain": [
"TensorShape([1, 128, 128, 3])"
]
},
"execution_count": 56,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"up_model = upsample(3, 4)\n",
"up_result = up_model(down_result)\n",
"up_result.shape"
]
},
{
"cell_type": "code",
"execution_count": 57,
"metadata": {
"ExecuteTime": {
"end_time": "2022-07-11T18:34:36.888819Z",
"start_time": "2022-07-11T18:34:36.015415Z"
}
},
"outputs": [
{
"data": {
"image/png": 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\n",
"text/plain": [
"<IPython.core.display.Image object>"
]
},
"execution_count": 57,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"def Generator():\n",
" OUTPUT_CHANNELS: Final[int] = 1\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",
" initializer = tf.random_normal_initializer(0.0, 0.02)\n",
" last = tf.keras.layers.Conv2DTranspose(\n",
" OUTPUT_CHANNELS,\n",
" 4,\n",
" strides=2,\n",
" padding=\"same\",\n",
" kernel_initializer=initializer,\n",
" activation=\"tanh\",\n",
" ) # (batch_size, 256, 256, 3)\n",
"\n",
" x = inputs\n",
"\n",
" # Downsampling 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",
" # Upsampling 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",
" return tf.keras.Model(inputs=inputs, outputs=x)\n",
"\n",
"\n",
"generator = Generator()\n",
"tf.keras.utils.plot_model(generator, show_shapes=True, dpi=64)"
]
},
{
"cell_type": "code",
"execution_count": 58,
"metadata": {
"ExecuteTime": {
"end_time": "2022-07-11T18:34:36.909543Z",
"start_time": "2022-07-11T18:34:36.893252Z"
}
},
"outputs": [],
"source": [
"generator.compile(\n",
" optimizer=tf.keras.optimizers.RMSprop(), # Optimizer\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",
")"
]
},
{
"cell_type": "code",
"execution_count": 59,
"metadata": {
"ExecuteTime": {
"end_time": "2022-07-11T18:34:36.922590Z",
"start_time": "2022-07-11T18:34:36.913165Z"
}
},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"2022-07-11 18:34:36.917085: I tensorflow/core/profiler/lib/profiler_session.cc:99] Profiler session initializing.\n",
"2022-07-11 18:34:36.917167: I tensorflow/core/profiler/lib/profiler_session.cc:114] Profiler session started.\n",
"2022-07-11 18:34:36.918650: I tensorflow/core/profiler/lib/profiler_session.cc:126] Profiler session tear down.\n"
]
}
],
"source": [
"tqdm_callback = tfa.callbacks.TQDMProgressBar(\n",
" leave_epoch_progress=False, leave_overall_progress=True, show_epoch_progress=True\n",
")\n",
"\n",
"early_stop = tf.keras.callbacks.EarlyStopping(\n",
" monitor=\"some metric\",\n",
" min_delta=0.0001,\n",
" patience=5,\n",
" verbose=0,\n",
" mode=\"auto\",\n",
" restore_best_weights=True,\n",
")\n",
"\n",
"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",
")\n",
"\n",
"reduce_learing_rate = tf.keras.callbacks.ReduceLROnPlateau(\n",
" monitor=\"some metric\", factor=0.2, patience=5, min_lr=000.1, verbose=1\n",
")"
]
},
{
"cell_type": "code",
"execution_count": 60,
"metadata": {
"ExecuteTime": {
"end_time": "2022-07-11T18:34:37.387799Z",
"start_time": "2022-07-11T18:34:36.925978Z"
}
},
"outputs": [
{
"data": {
"application/vnd.jupyter.widget-view+json": {
"model_id": "7d2ac0fb253a4cdb9912c39538f2b0d4",
"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": "code",
"execution_count": 61,
"metadata": {
"ExecuteTime": {
"end_time": "2022-07-11T18:34:37.398038Z",
"start_time": "2022-07-11T18:34:37.391964Z"
}
},
"outputs": [
{
"data": {
"text/plain": [
"(2291, 128, 128, 2)"
]
},
"execution_count": 61,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"collected_routes[:, :, :, :2].shape"
]
},
{
"cell_type": "code",
"execution_count": 62,
"metadata": {
"ExecuteTime": {
"end_time": "2022-07-11T18:34:37.769969Z",
"start_time": "2022-07-11T18:34:37.402840Z"
}
},
"outputs": [],
"source": [
"train_dataset = tf.data.Dataset.from_tensor_slices(\n",
" (collected_routes[:, :, :, :2], collected_routes[:, :, :, 2])\n",
")\n",
"# test_dataset = tf.data.Dataset.from_tensor_slices((test_examples, test_labels))"
]
},
{
"cell_type": "code",
"execution_count": 63,
"metadata": {
"ExecuteTime": {
"end_time": "2022-07-11T18:34:37.780494Z",
"start_time": "2022-07-11T18:34:37.772901Z"
}
},
"outputs": [
{
"data": {
"text/plain": [
"<TensorSliceDataset element_spec=(TensorSpec(shape=(128, 128, 2), dtype=tf.uint8, name=None), TensorSpec(shape=(128, 128), dtype=tf.uint8, name=None))>"
]
},
"execution_count": 63,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"train_dataset"
]
},
{
"cell_type": "code",
"execution_count": 64,
"metadata": {
"ExecuteTime": {
"end_time": "2022-07-11T18:34:37.789908Z",
"start_time": "2022-07-11T18:34:37.784588Z"
}
},
"outputs": [],
"source": [
"BATCH_SIZE = 64\n",
"SHUFFLE_BUFFER_SIZE = 100\n",
"# train_dataset = train_dataset.shuffle(SHUFFLE_BUFFER_SIZE).batch(BATCH_SIZE)"
]
},
{
"cell_type": "code",
"execution_count": 65,
"metadata": {
"ExecuteTime": {
"end_time": "2022-07-11T18:34:37.800259Z",
"start_time": "2022-07-11T18:34:37.794044Z"
}
},
"outputs": [],
"source": [
"train_dataset = train_dataset.batch(BATCH_SIZE)"
]
},
{
"cell_type": "code",
"execution_count": 66,
"metadata": {
"ExecuteTime": {
"end_time": "2022-07-11T20:34:10.831132Z",
"start_time": "2022-07-11T18:34:37.804670Z"
}
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Epoch 1/20\n",
"36/36 [==============================] - 375s 10s/step - loss: 0.0132 - binary_crossentropy: 0.0132 - mean_squared_error: 0.1258 - mean_absolute_error: 0.2735\n",
"Epoch 2/20\n",
"36/36 [==============================] - 375s 10s/step - loss: 0.0070 - binary_crossentropy: 0.0070 - mean_squared_error: 0.1279 - mean_absolute_error: 0.2783\n",
"Epoch 3/20\n",
"36/36 [==============================] - 369s 10s/step - loss: 0.0070 - binary_crossentropy: 0.0070 - mean_squared_error: 0.1281 - mean_absolute_error: 0.2795\n",
"Epoch 4/20\n",
"36/36 [==============================] - 362s 10s/step - loss: 0.0070 - binary_crossentropy: 0.0070 - mean_squared_error: 0.1284 - mean_absolute_error: 0.2806\n",
"Epoch 5/20\n",
"36/36 [==============================] - 359s 10s/step - loss: 0.0070 - binary_crossentropy: 0.0070 - mean_squared_error: 0.1290 - mean_absolute_error: 0.2822\n",
"Epoch 6/20\n",
"36/36 [==============================] - 354s 10s/step - loss: 0.0070 - binary_crossentropy: 0.0070 - mean_squared_error: 0.1293 - mean_absolute_error: 0.2830\n",
"Epoch 7/20\n",
"36/36 [==============================] - 357s 10s/step - loss: 0.0070 - binary_crossentropy: 0.0070 - mean_squared_error: 0.1305 - mean_absolute_error: 0.2850\n",
"Epoch 8/20\n",
"36/36 [==============================] - 354s 10s/step - loss: 0.0070 - binary_crossentropy: 0.0070 - mean_squared_error: 0.1318 - mean_absolute_error: 0.2873\n",
"Epoch 9/20\n",
"36/36 [==============================] - 354s 10s/step - loss: 0.0070 - binary_crossentropy: 0.0070 - mean_squared_error: 0.1318 - mean_absolute_error: 0.2873\n",
"Epoch 10/20\n",
"36/36 [==============================] - 354s 10s/step - loss: 0.0070 - binary_crossentropy: 0.0070 - mean_squared_error: 0.1318 - mean_absolute_error: 0.2873\n",
"Epoch 11/20\n",
"36/36 [==============================] - 356s 10s/step - loss: 0.0070 - binary_crossentropy: 0.0070 - mean_squared_error: 0.1395 - mean_absolute_error: 0.3011\n",
"Epoch 12/20\n",
"36/36 [==============================] - 357s 10s/step - loss: 0.0070 - binary_crossentropy: 0.0070 - mean_squared_error: 0.1414 - mean_absolute_error: 0.3044\n",
"Epoch 13/20\n",
"36/36 [==============================] - 353s 10s/step - loss: 0.0070 - binary_crossentropy: 0.0070 - mean_squared_error: 0.1414 - mean_absolute_error: 0.3044\n",
"Epoch 14/20\n",
"36/36 [==============================] - 354s 10s/step - loss: 0.0070 - binary_crossentropy: 0.0070 - mean_squared_error: 0.1414 - mean_absolute_error: 0.3045\n",
"Epoch 15/20\n",
"36/36 [==============================] - 357s 10s/step - loss: 0.0070 - binary_crossentropy: 0.0070 - mean_squared_error: 0.1414 - mean_absolute_error: 0.3044\n",
"Epoch 16/20\n",
"36/36 [==============================] - 357s 10s/step - loss: 0.0070 - binary_crossentropy: 0.0070 - mean_squared_error: 0.1414 - mean_absolute_error: 0.3044\n",
"Epoch 17/20\n",
"36/36 [==============================] - 355s 10s/step - loss: 0.0070 - binary_crossentropy: 0.0070 - mean_squared_error: 0.1414 - mean_absolute_error: 0.3044\n",
"Epoch 18/20\n",
"36/36 [==============================] - 355s 10s/step - loss: 0.0070 - binary_crossentropy: 0.0070 - mean_squared_error: 0.1414 - mean_absolute_error: 0.3045\n",
"Epoch 19/20\n",
"36/36 [==============================] - 355s 10s/step - loss: 0.0070 - binary_crossentropy: 0.0070 - mean_squared_error: 0.1414 - mean_absolute_error: 0.3044\n",
"Epoch 20/20\n",
"36/36 [==============================] - 362s 10s/step - loss: 0.0070 - binary_crossentropy: 0.0070 - mean_squared_error: 0.1414 - mean_absolute_error: 0.3044\n"
]
}
],
"source": [
"history = generator.fit(\n",
" train_dataset,\n",
" epochs=20,\n",
" batch_size=128,\n",
" use_multiprocessing=True,\n",
" # callbacks=[tqdm_callback, early_stop, tf_board], validation_split=0.20, shuffle=True,\n",
")"
]
},
{
"cell_type": "code",
"execution_count": 69,
"metadata": {
"ExecuteTime": {
"end_time": "2022-07-11T20:35:09.893719Z",
"start_time": "2022-07-11T20:35:09.785795Z"
}
},
"outputs": [
{
"data": {
"text/plain": [
"[<matplotlib.lines.Line2D at 0x7f86f6e5b010>]"
]
},
"execution_count": 69,
"metadata": {},
"output_type": "execute_result"
},
{
"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": [
"plt.plot(history.history[\"loss\"])"
]
},
{
"cell_type": "code",
"execution_count": 74,
"metadata": {
"ExecuteTime": {
"end_time": "2022-07-11T20:36:41.233512Z",
"start_time": "2022-07-11T20:36:41.228150Z"
}
},
"outputs": [
{
"data": {
"text/plain": [
"(1, 128, 128, 2)"
]
},
"execution_count": 74,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"collected_routes[0:1, :, :, :2].shape"
]
},
{
"cell_type": "code",
"execution_count": 81,
"metadata": {
"ExecuteTime": {
"end_time": "2022-07-11T20:40:42.106870Z",
"start_time": "2022-07-11T20:38:39.288499Z"
}
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"72/72 [==============================] - 122s 2s/step\n"
]
}
],
"source": [
"predicted = generator.predict(\n",
" collected_routes[:, :, :, :2],\n",
" batch_size=None,\n",
" verbose=\"auto\",\n",
" steps=None,\n",
" callbacks=None,\n",
" max_queue_size=10,\n",
" workers=1,\n",
" use_multiprocessing=False,\n",
")"
]
},
{
"cell_type": "code",
"execution_count": 83,
"metadata": {
"ExecuteTime": {
"end_time": "2022-07-11T20:40:42.284261Z",
"start_time": "2022-07-11T20:40:42.275481Z"
}
},
"outputs": [
{
"data": {
"text/plain": [
"(2291, 128, 128, 1)"
]
},
"execution_count": 83,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"predicted.shape"
]
},
{
"cell_type": "code",
"execution_count": 84,
"metadata": {
"ExecuteTime": {
"end_time": "2022-07-11T20:40:42.419205Z",
"start_time": "2022-07-11T20:40:42.290807Z"
}
},
"outputs": [
{
"data": {
"text/plain": [
"<matplotlib.image.AxesImage at 0x7f86f0b45360>"
]
},
"execution_count": 84,
"metadata": {},
"output_type": "execute_result"
},
{
"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": [
"plt.imshow(predicted[0, :, :, 0], interpolation=\"nearest\")"
]
},
{
"cell_type": "code",
"execution_count": 82,
"metadata": {
"ExecuteTime": {
"end_time": "2022-07-11T20:40:42.270774Z",
"start_time": "2022-07-11T20:40:42.111264Z"
}
},
"outputs": [
{
"data": {
"text/plain": [
"<matplotlib.image.AxesImage at 0x7f86f0cf16c0>"
]
},
"execution_count": 82,
"metadata": {},
"output_type": "execute_result"
},
{
"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": [
"plt.imshow(collected_routes[0, :, :, 0], interpolation=\"nearest\")"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"ExecuteTime": {
"end_time": "2022-07-11T20:34:11.274201Z",
"start_time": "2022-07-11T20:34:11.274188Z"
}
},
"outputs": [],
"source": [
"# tf.keras.utils.plot_model(generator)"
]
},
{
"cell_type": "raw",
"metadata": {
"ExecuteTime": {
"end_time": "2022-07-11T16:47:19.020872Z",
"start_time": "2022-07-11T16:47:17.607427Z"
}
},
"source": [
"!pip install pydot pydotplus graphviz"
]
},
{
"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"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.10.4"
},
"toc": {
"base_numbering": 1,
"nav_menu": {},
"number_sections": true,
"sideBar": true,
"skip_h1_title": false,
"title_cell": "Table of Contents",
"title_sidebar": "Contents",
"toc_cell": false,
"toc_position": {},
"toc_section_display": true,
"toc_window_display": false
}
},
"nbformat": 4,
"nbformat_minor": 1
}