{ "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": [ "" ], "text/plain": [ "" ] }, "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\n", "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
obstaclesdestination_xdestination_yimageroutecost
seed
0{'0': POLYGON ((-17.62168766659423 -98.3692662...-66.0-54.0<NA>[[0.0, 0.0], [-6.514627334268863, -5.502693040...100.151629
1{'0': POLYGON ((-97.82715137072381 -82.2211677...-38.065.0<NA>[[0.0, 0.0], [-38.0, 65.0]]75292.761936
2{'0': POLYGON ((-46.23706006792075 -76.7569948...73.049.0<NA>[[0.0, 0.0], [43.20648551245758, 31.2114102262...18967.522925
3{'0': POLYGON ((-7.4210414351932155 -83.111096...31.056.0<NA>[[0.0, 0.0], [5.303962239032221, 10.6856391688...63200.630758
4{'0': POLYGON ((-77.97638439917915 -70.2390972...47.054.0<NA>[[0.0, 0.0], [4.691900284503645, -5.4114328014...28914.654143
.....................
5043{'0': POLYGON ((-97.17848102949412 -87.6302200...-42.058.0<NA>[[0.0, 0.0], [-17.581061295760854, 6.486983123...48079.922052
5044{'0': POLYGON ((-21.480358556657755 -103.89997...64.068.0<NA>[[0.0, 0.0], [1.155661243721632, 8.57324543724...9580.39044
5045{'0': POLYGON ((1.3857549075057696 -92.4233317...62.036.0<NA>[[0.0, 0.0], [62.0, 36.0]]114.532882
5047{'0': POLYGON ((-99.59500547589474 -59.5289597...-59.0-70.0<NA>[[0.0, 0.0], [-59.0, -70.0]]55.52741
5048{'0': POLYGON ((-105.68258135922765 -70.781887...69.035.0<NA>[[0.0, 0.0], [4.90187046897843, 6.039674046160...7912.705859
\n", "

4633 rows × 6 columns

\n", "" ], "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 [[0.0, 0.0], [-6.514627334268863, -5.502693040... \n", "1 65.0 [[0.0, 0.0], [-38.0, 65.0]] \n", "2 49.0 [[0.0, 0.0], [43.20648551245758, 31.2114102262... \n", "3 56.0 [[0.0, 0.0], [5.303962239032221, 10.6856391688... \n", "4 54.0 [[0.0, 0.0], [4.691900284503645, -5.4114328014... \n", "... ... ... ... \n", "5043 58.0 [[0.0, 0.0], [-17.581061295760854, 6.486983123... \n", "5044 68.0 [[0.0, 0.0], [1.155661243721632, 8.57324543724... \n", "5045 36.0 [[0.0, 0.0], [62.0, 36.0]] \n", "5047 -70.0 [[0.0, 0.0], [-59.0, -70.0]] \n", "5048 35.0 [[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 [00:00 100,\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" ] }, "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" ] }, "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": [ "
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obstaclesdestination_xdestination_yimageroutecost
seed
0{'0': POLYGON ((-17.62168766659423 -98.3692662...-66.0-54.0<NA>[[0.0, 0.0], [-6.514627334268863, -5.502693040...100.151629
2{'0': POLYGON ((-46.23706006792075 -76.7569948...73.049.0<NA>[[0.0, 0.0], [43.20648551245758, 31.2114102262...18967.522925
4{'0': POLYGON ((-77.97638439917915 -70.2390972...47.054.0<NA>[[0.0, 0.0], [4.691900284503645, -5.4114328014...28914.654143
5{'0': POLYGON ((-71.45682729091783 -138.627922...-67.037.0<NA>[[0.0, 0.0], [-42.539218405821984, 15.14880405...186.095369
6{'0': POLYGON ((-76.20025009472265 -92.9434076...-67.055.0<NA>[[0.0, 0.0], [-7.80975254664349, 3.41866699781...23898.229531
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5041{'0': POLYGON ((-27.141984707823323 -99.785221...48.037.0<NA>[[0.0, 0.0], [2.490366796957902, 5.01962884879...5970.65358
5044{'0': POLYGON ((-21.480358556657755 -103.89997...64.068.0<NA>[[0.0, 0.0], [1.155661243721632, 8.57324543724...9580.39044
5045{'0': POLYGON ((1.3857549075057696 -92.4233317...62.036.0<NA>[[0.0, 0.0], [62.0, 36.0]]114.532882
5047{'0': POLYGON ((-99.59500547589474 -59.5289597...-59.0-70.0<NA>[[0.0, 0.0], [-59.0, -70.0]]55.52741
5048{'0': POLYGON ((-105.68258135922765 -70.781887...69.035.0<NA>[[0.0, 0.0], [4.90187046897843, 6.039674046160...7912.705859
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4011 rows × 6 columns

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" ], "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 [[0.0, 0.0], [-6.514627334268863, -5.502693040... \n", "2 49.0 [[0.0, 0.0], [43.20648551245758, 31.2114102262... \n", "4 54.0 [[0.0, 0.0], [4.691900284503645, -5.4114328014... \n", "5 37.0 [[0.0, 0.0], [-42.539218405821984, 15.14880405... \n", "6 55.0 [[0.0, 0.0], [-7.80975254664349, 3.41866699781... \n", "... ... ... ... \n", "5041 37.0 [[0.0, 0.0], [2.490366796957902, 5.01962884879... \n", "5044 68.0 [[0.0, 0.0], [1.155661243721632, 8.57324543724... \n", "5045 36.0 [[0.0, 0.0], [62.0, 36.0]] \n", "5047 -70.0 [[0.0, 0.0], [-59.0, -70.0]] \n", "5048 35.0 [[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", 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\n", "text/plain": [ "
" ] }, "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": [ "
" ] }, "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": [ "
" ] }, "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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" ] }, "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": [ "
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0{'0': POLYGON ((-17.62168766659423 -98.3692662...-66.0-54.0<NA>[[0.0, 0.0], [-6.514627334268863, -5.502693040...100.151629
2{'0': POLYGON ((-46.23706006792075 -76.7569948...73.049.0<NA>[[0.0, 0.0], [43.20648551245758, 31.2114102262...18967.522925
5{'0': POLYGON ((-71.45682729091783 -138.627922...-67.037.0<NA>[[0.0, 0.0], [-42.539218405821984, 15.14880405...186.095369
7{'0': POLYGON ((10.806865516434499 -102.670968...67.0-52.0<NA>[[0.0, 0.0], [10.886352485821806, -16.87002927...63.479684
8{'0': POLYGON ((-38.740101054728726 -89.986420...58.061.0<NA>[[0.0, 0.0], [-8.211437427025228, -1.293253961...16899.906926
.....................
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2291 rows × 6 columns

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" ], "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 [[0.0, 0.0], [-6.514627334268863, -5.502693040... \n", "2 49.0 [[0.0, 0.0], [43.20648551245758, 31.2114102262... \n", "5 37.0 [[0.0, 0.0], [-42.539218405821984, 15.14880405... \n", "7 -52.0 [[0.0, 0.0], [10.886352485821806, -16.87002927... \n", "8 61.0 [[0.0, 0.0], [-8.211437427025228, -1.293253961... \n", "... ... ... ... \n", "5034 25.0 [[0.0, 0.0], [-6.7135078992502235, -0.26701365... \n", "5035 -52.0 [[0.0, 0.0], [5.352102390649866, 5.35210239064... \n", "5041 37.0 [[0.0, 0.0], [2.490366796957902, 5.01962884879... \n", "5044 68.0 [[0.0, 0.0], [1.155661243721632, 8.57324543724... \n", "5048 35.0 [[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": [ "
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2{'0': POLYGON ((-46.23706006792075 -76.7569948...73.049.0<NA>[[0.0, 0.0], [43.20648551245758, 31.2114102262...18967.522925
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7{'0': POLYGON ((10.806865516434499 -102.670968...67.0-52.0<NA>[[0.0, 0.0], [10.886352485821806, -16.87002927...63.479684
8{'0': POLYGON ((-38.740101054728726 -89.986420...58.061.0<NA>[[0.0, 0.0], [-8.211437427025228, -1.293253961...16899.906926
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5034{'0': POLYGON ((-48.94669508881438 -43.8785808...-49.025.0<NA>[[0.0, 0.0], [-6.7135078992502235, -0.26701365...631.293022
5035{'0': POLYGON ((-24.170482600477584 -90.730767...55.0-52.0<NA>[[0.0, 0.0], [5.352102390649866, 5.35210239064...126.366345
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2291 rows × 6 columns

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" ], "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 [[0.0, 0.0], [-6.514627334268863, -5.502693040... \n", "2 49.0 [[0.0, 0.0], [43.20648551245758, 31.2114102262... \n", "5 37.0 [[0.0, 0.0], [-42.539218405821984, 15.14880405... \n", "7 -52.0 [[0.0, 0.0], [10.886352485821806, -16.87002927... \n", "8 61.0 [[0.0, 0.0], [-8.211437427025228, -1.293253961... \n", "... ... ... ... \n", "5034 25.0 [[0.0, 0.0], [-6.7135078992502235, -0.26701365... \n", "5035 -52.0 [[0.0, 0.0], [5.352102390649866, 5.35210239064... \n", "5041 37.0 [[0.0, 0.0], [2.490366796957902, 5.01962884879... \n", "5044 68.0 [[0.0, 0.0], [1.155661243721632, 8.57324543724... \n", "5048 35.0 [[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" ] }, "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": [ "" ] }, "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" ] }, "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": [ "" ] }, "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": [ "[]" ] }, "execution_count": 69, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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\n", "text/plain": [ "
" ] }, "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": [ "" ] }, "execution_count": 84, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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\n", 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" ] }, "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": [ "" ] }, "execution_count": 82, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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\n", 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" ] }, "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 }