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+154
@@ -0,0 +1,154 @@
|
||||
### TortoiseGit template
|
||||
# Project-level settings
|
||||
/.tgitconfig
|
||||
|
||||
### Example user template template
|
||||
### Example user template
|
||||
|
||||
# IntelliJ project files
|
||||
.idea
|
||||
*.iml
|
||||
out
|
||||
gen
|
||||
### Python template
|
||||
# Byte-compiled / optimized / DLL files
|
||||
__pycache__/
|
||||
*.py[cod]
|
||||
*$py.class
|
||||
|
||||
# C extensions
|
||||
*.so
|
||||
|
||||
# Distribution / packaging
|
||||
.Python
|
||||
build/
|
||||
develop-eggs/
|
||||
dist/
|
||||
downloads/
|
||||
eggs/
|
||||
.eggs/
|
||||
lib/
|
||||
lib64/
|
||||
parts/
|
||||
sdist/
|
||||
var/
|
||||
wheels/
|
||||
share/python-wheels/
|
||||
*.egg-info/
|
||||
.installed.cfg
|
||||
*.egg
|
||||
MANIFEST
|
||||
|
||||
# PyInstaller
|
||||
# Usually these files are written by a python script from a template
|
||||
# before PyInstaller builds the exe, so as to inject date/other infos into it.
|
||||
*.manifest
|
||||
*.spec
|
||||
|
||||
# Installer logs
|
||||
pip-log.txt
|
||||
pip-delete-this-directory.txt
|
||||
|
||||
# Unit test / coverage reports
|
||||
htmlcov/
|
||||
.tox/
|
||||
.nox/
|
||||
.coverage
|
||||
.coverage.*
|
||||
.cache
|
||||
nosetests.xml
|
||||
coverage.xml
|
||||
*.cover
|
||||
*.py,cover
|
||||
.hypothesis/
|
||||
.pytest_cache/
|
||||
cover/
|
||||
|
||||
# Translations
|
||||
*.mo
|
||||
*.pot
|
||||
|
||||
# Django stuff:
|
||||
*.log
|
||||
local_settings.py
|
||||
db.sqlite3
|
||||
db.sqlite3-journal
|
||||
|
||||
# Flask stuff:
|
||||
instance/
|
||||
.webassets-cache
|
||||
|
||||
# Scrapy stuff:
|
||||
.scrapy
|
||||
|
||||
# Sphinx documentation
|
||||
docs/_build/
|
||||
|
||||
# PyBuilder
|
||||
.pybuilder/
|
||||
target/
|
||||
|
||||
# Jupyter Notebook
|
||||
.ipynb_checkpoints
|
||||
|
||||
# IPython
|
||||
profile_default/
|
||||
ipython_config.py
|
||||
|
||||
# pyenv
|
||||
# For a library or package, you might want to ignore these files since the code is
|
||||
# intended to run in multiple environments; otherwise, check them in:
|
||||
# .python-version
|
||||
|
||||
# pipenv
|
||||
# According to pypa/pipenv#598, it is recommended to include Pipfile.lock in version control.
|
||||
# However, in case of collaboration, if having platform-specific dependencies or dependencies
|
||||
# having no cross-platform support, pipenv may install dependencies that don't work, or not
|
||||
# install all needed dependencies.
|
||||
#Pipfile.lock
|
||||
|
||||
# PEP 582; used by e.g. github.com/David-OConnor/pyflow
|
||||
__pypackages__/
|
||||
|
||||
# Celery stuff
|
||||
celerybeat-schedule
|
||||
celerybeat.pid
|
||||
|
||||
# SageMath parsed files
|
||||
*.sage.py
|
||||
|
||||
# Environments
|
||||
.env
|
||||
.venv
|
||||
env/
|
||||
venv/
|
||||
ENV/
|
||||
env.bak/
|
||||
venv.bak/
|
||||
|
||||
# Spyder project settings
|
||||
.spyderproject
|
||||
.spyproject
|
||||
|
||||
# Rope project settings
|
||||
.ropeproject
|
||||
|
||||
# mkdocs documentation
|
||||
/site
|
||||
|
||||
# mypy
|
||||
.mypy_cache/
|
||||
.dmypy.json
|
||||
dmypy.json
|
||||
|
||||
# Pyre type checker
|
||||
.pyre/
|
||||
|
||||
# pytype static type analyzer
|
||||
.pytype/
|
||||
|
||||
# Cython debug symbols
|
||||
cython_debug/
|
||||
|
||||
.git/
|
||||
/.idea
|
||||
+207
@@ -0,0 +1,207 @@
|
||||
### ROS template
|
||||
devel/
|
||||
logs/
|
||||
build/
|
||||
bin/
|
||||
lib/
|
||||
msg_gen/
|
||||
srv_gen/
|
||||
msg/*Action.msg
|
||||
msg/*ActionFeedback.msg
|
||||
msg/*ActionGoal.msg
|
||||
msg/*ActionResult.msg
|
||||
msg/*Feedback.msg
|
||||
msg/*Goal.msg
|
||||
msg/*Result.msg
|
||||
msg/_*.py
|
||||
build_isolated/
|
||||
devel_isolated/
|
||||
|
||||
# Generated by dynamic reconfigure
|
||||
*.cfgc
|
||||
/cfg/cpp/
|
||||
/cfg/*.py
|
||||
|
||||
# Ignore generated docs
|
||||
*.dox
|
||||
*.wikidoc
|
||||
|
||||
# eclipse stuff
|
||||
.project
|
||||
.cproject
|
||||
|
||||
# qcreator stuff
|
||||
CMakeLists.txt.user
|
||||
|
||||
srv/_*.py
|
||||
*.pcd
|
||||
*.pyc
|
||||
qtcreator-*
|
||||
*.user
|
||||
|
||||
/planning/cfg
|
||||
/planning/docs
|
||||
/planning/src
|
||||
|
||||
*~
|
||||
|
||||
# Emacs
|
||||
.#*
|
||||
|
||||
# Catkin custom files
|
||||
CATKIN_IGNORE
|
||||
|
||||
### JupyterNotebooks template
|
||||
# gitignore template for Jupyter Notebooks
|
||||
# website: http://jupyter.org/
|
||||
|
||||
.ipynb_checkpoints
|
||||
*/.ipynb_checkpoints/*
|
||||
|
||||
# IPython
|
||||
profile_default/
|
||||
ipython_config.py
|
||||
|
||||
# Remove previous ipynb_checkpoints
|
||||
# git rm -r .ipynb_checkpoints/
|
||||
|
||||
### Python template
|
||||
# Byte-compiled / optimized / DLL files
|
||||
__pycache__/
|
||||
*.py[cod]
|
||||
*$py.class
|
||||
|
||||
# C extensions
|
||||
*.so
|
||||
|
||||
# Distribution / packaging
|
||||
.Python
|
||||
build/
|
||||
develop-eggs/
|
||||
dist/
|
||||
downloads/
|
||||
eggs/
|
||||
.eggs/
|
||||
lib/
|
||||
lib64/
|
||||
parts/
|
||||
sdist/
|
||||
var/
|
||||
wheels/
|
||||
share/python-wheels/
|
||||
*.egg-info/
|
||||
.installed.cfg
|
||||
*.egg
|
||||
MANIFEST
|
||||
|
||||
# PyInstaller
|
||||
# Usually these files are written by a python script from a template
|
||||
# before PyInstaller builds the exe, so as to inject date/other infos into it.
|
||||
*.manifest
|
||||
*.spec
|
||||
|
||||
# Installer logs
|
||||
pip-log.txt
|
||||
pip-delete-this-directory.txt
|
||||
|
||||
# Unit test / coverage reports
|
||||
htmlcov/
|
||||
.tox/
|
||||
.nox/
|
||||
.coverage
|
||||
.coverage.*
|
||||
.cache
|
||||
nosetests.xml
|
||||
coverage.xml
|
||||
*.cover
|
||||
*.py,cover
|
||||
.hypothesis/
|
||||
.pytest_cache/
|
||||
cover/
|
||||
|
||||
# Translations
|
||||
*.mo
|
||||
*.pot
|
||||
|
||||
# Django stuff:
|
||||
*.log
|
||||
local_settings.py
|
||||
db.sqlite3
|
||||
db.sqlite3-journal
|
||||
|
||||
# Flask stuff:
|
||||
instance/
|
||||
.webassets-cache
|
||||
|
||||
# Scrapy stuff:
|
||||
.scrapy
|
||||
|
||||
# Sphinx documentation
|
||||
docs/_build/
|
||||
|
||||
# PyBuilder
|
||||
.pybuilder/
|
||||
target/
|
||||
|
||||
# Jupyter Notebook
|
||||
.ipynb_checkpoints
|
||||
|
||||
# IPython
|
||||
profile_default/
|
||||
ipython_config.py
|
||||
|
||||
# pyenv
|
||||
# For a library or package, you might want to ignore these files since the code is
|
||||
# intended to run in multiple environments; otherwise, check them in:
|
||||
# .python-version
|
||||
|
||||
# pipenv
|
||||
# According to pypa/pipenv#598, it is recommended to include Pipfile.lock in version control.
|
||||
# However, in case of collaboration, if having platform-specific dependencies or dependencies
|
||||
# having no cross-platform support, pipenv may install dependencies that don't work, or not
|
||||
# install all needed dependencies.
|
||||
#Pipfile.lock
|
||||
|
||||
# PEP 582; used by e.g. github.com/David-OConnor/pyflow
|
||||
__pypackages__/
|
||||
|
||||
# Celery stuff
|
||||
celerybeat-schedule
|
||||
celerybeat.pid
|
||||
|
||||
# SageMath parsed files
|
||||
*.sage.py
|
||||
|
||||
# Environments
|
||||
.env
|
||||
.venv
|
||||
env/
|
||||
venv/
|
||||
ENV/
|
||||
env.bak/
|
||||
venv.bak/
|
||||
|
||||
# Spyder project settings
|
||||
.spyderproject
|
||||
.spyproject
|
||||
|
||||
# Rope project settings
|
||||
.ropeproject
|
||||
|
||||
# mkdocs documentation
|
||||
/site
|
||||
|
||||
# mypy
|
||||
.mypy_cache/
|
||||
.dmypy.json
|
||||
dmypy.json
|
||||
|
||||
# Pyre type checker
|
||||
.pyre/
|
||||
|
||||
# pytype static type analyzer
|
||||
.pytype/
|
||||
|
||||
# Cython debug symbols
|
||||
cython_debug/
|
||||
|
||||
Generated
+8
@@ -0,0 +1,8 @@
|
||||
# Default ignored files
|
||||
/shelf/
|
||||
/workspace.xml
|
||||
# Editor-based HTTP Client requests
|
||||
/httpRequests/
|
||||
# Datasource local storage ignored files
|
||||
/dataSources/
|
||||
/dataSources.local.xml
|
||||
+23
@@ -0,0 +1,23 @@
|
||||
<component name="InspectionProjectProfileManager">
|
||||
<profile version="1.0">
|
||||
<option name="myName" value="Project Default" />
|
||||
<inspection_tool class="DuplicatedCode" enabled="false" level="WEAK WARNING" enabled_by_default="false" />
|
||||
<inspection_tool class="PyMissingOrEmptyDocstringInspection" enabled="true" level="WEAK WARNING" enabled_by_default="true" />
|
||||
<inspection_tool class="PyPep8NamingInspection" enabled="true" level="WEAK WARNING" enabled_by_default="true">
|
||||
<option name="ignoredErrors">
|
||||
<list>
|
||||
<option value="N801" />
|
||||
</list>
|
||||
</option>
|
||||
</inspection_tool>
|
||||
<inspection_tool class="PyUnresolvedReferencesInspection" enabled="true" level="WARNING" enabled_by_default="true">
|
||||
<option name="ignoredIdentifiers">
|
||||
<list>
|
||||
<option value="urllib.request.get" />
|
||||
<option value="tika.parser" />
|
||||
<option value="itertools.repeat.__add__" />
|
||||
</list>
|
||||
</option>
|
||||
</inspection_tool>
|
||||
</profile>
|
||||
</component>
|
||||
+6
@@ -0,0 +1,6 @@
|
||||
<component name="InspectionProjectProfileManager">
|
||||
<settings>
|
||||
<option name="USE_PROJECT_PROFILE" value="false" />
|
||||
<version value="1.0" />
|
||||
</settings>
|
||||
</component>
|
||||
Generated
+4
@@ -0,0 +1,4 @@
|
||||
<?xml version="1.0" encoding="UTF-8"?>
|
||||
<project version="4">
|
||||
<component name="ProjectRootManager" version="2" project-jdk-name="Poetry (ml-programmiereprojekt)" project-jdk-type="Python SDK" />
|
||||
</project>
|
||||
Generated
+24
@@ -0,0 +1,24 @@
|
||||
<?xml version="1.0" encoding="UTF-8"?>
|
||||
<module type="PYTHON_MODULE" version="4">
|
||||
<component name="NewModuleRootManager">
|
||||
<content url="file://$MODULE_DIR$">
|
||||
<excludeFolder url="file://$MODULE_DIR$/venv" />
|
||||
</content>
|
||||
<orderEntry type="jdk" jdkName="Poetry (ml-programmiereprojekt)" jdkType="Python SDK" />
|
||||
<orderEntry type="sourceFolder" forTests="false" />
|
||||
</component>
|
||||
<component name="PyDocumentationSettings">
|
||||
<option name="format" value="GOOGLE" />
|
||||
<option name="myDocStringFormat" value="Google" />
|
||||
</component>
|
||||
<component name="TemplatesService">
|
||||
<option name="TEMPLATE_FOLDERS">
|
||||
<list>
|
||||
<option value="$MODULE_DIR$/ros-nodes/doc/templates" />
|
||||
</list>
|
||||
</option>
|
||||
</component>
|
||||
<component name="TestRunnerService">
|
||||
<option name="PROJECT_TEST_RUNNER" value="py.test" />
|
||||
</component>
|
||||
</module>
|
||||
Generated
+8
@@ -0,0 +1,8 @@
|
||||
<?xml version="1.0" encoding="UTF-8"?>
|
||||
<project version="4">
|
||||
<component name="ProjectModuleManager">
|
||||
<modules>
|
||||
<module fileurl="file://$PROJECT_DIR$/.idea/ml-programmiereprojekt.iml" filepath="$PROJECT_DIR$/.idea/ml-programmiereprojekt.iml" />
|
||||
</modules>
|
||||
</component>
|
||||
</project>
|
||||
Generated
+9
@@ -0,0 +1,9 @@
|
||||
<?xml version="1.0" encoding="UTF-8"?>
|
||||
<project version="4">
|
||||
<component name="VcsDirectoryMappings">
|
||||
<mapping directory="$PROJECT_DIR$" vcs="Git" />
|
||||
<mapping directory="$PROJECT_DIR$/model" vcs="Git" />
|
||||
<mapping directory="$PROJECT_DIR$/pyrate" vcs="Git" />
|
||||
<mapping directory="$PROJECT_DIR$/ros-nodes" vcs="Git" />
|
||||
</component>
|
||||
</project>
|
||||
@@ -0,0 +1,82 @@
|
||||
default_language_version:
|
||||
python: python3.10
|
||||
|
||||
repos:
|
||||
- repo: https://github.com/pre-commit/pre-commit-hooks
|
||||
rev: v4.1.0
|
||||
hooks:
|
||||
- id: end-of-file-fixer
|
||||
exclude: (.txt$|.ipynb$)
|
||||
- id: trailing-whitespace
|
||||
exclude: (.txt$|README.md$)
|
||||
- id: check-yaml
|
||||
- id: check-json
|
||||
- id: check-toml
|
||||
- id: check-xml
|
||||
# - id: check-added-large-files
|
||||
args: [--enforce-all]
|
||||
- id: name-tests-test
|
||||
- id: detect-private-key
|
||||
- id: check-case-conflict
|
||||
- id: check-symlinks
|
||||
- id: check-docstring-first
|
||||
|
||||
- repo: https://github.com/psf/black
|
||||
rev: 22.1.0
|
||||
hooks:
|
||||
- id: black
|
||||
args: [--config=pyproject.toml]
|
||||
- id: black-jupyter
|
||||
args: [--config=pyproject.toml]
|
||||
|
||||
- repo: https://github.com/seandstewart/pre-commit-poetry-export
|
||||
rev: f0501a85959a71c26b964d9542a78d1033af083e
|
||||
hooks: []
|
||||
# - id: export-requirements
|
||||
# - id: export-requirements-dev
|
||||
|
||||
- repo: https://github.com/macisamuele/language-formatters-pre-commit-hooks
|
||||
rev: v2.2.0
|
||||
hooks:
|
||||
- id: pretty-format-ini
|
||||
args: [--autofix]
|
||||
- id: pretty-format-toml
|
||||
args: [--autofix]
|
||||
- id: pretty-format-yaml
|
||||
args: [--autofix]
|
||||
|
||||
- repo: https://github.com/jendrikseipp/vulture
|
||||
rev: v2.3 # or any later Vulture version
|
||||
hooks:
|
||||
- id: vulture
|
||||
|
||||
- repo: https://github.com/domdfcoding/flake2lint
|
||||
rev: v0.4.1
|
||||
hooks:
|
||||
- id: flake2lint
|
||||
|
||||
- repo: https://github.com/PyCQA/flake8
|
||||
rev: 4.0.1
|
||||
hooks:
|
||||
- id: flake8
|
||||
args: [--config=.flake8]
|
||||
|
||||
- repo: https://github.com/pre-commit/mirrors-mypy
|
||||
rev: v0.931
|
||||
hooks:
|
||||
- id: mypy
|
||||
|
||||
- repo: https://github.com/frnmst/md-toc
|
||||
rev: 8.1.1
|
||||
hooks:
|
||||
- id: md-toc
|
||||
|
||||
- repo: https://gitlab.com/smop/pre-commit-hooks
|
||||
rev: v1.0.0
|
||||
hooks:
|
||||
- id: check-poetry
|
||||
|
||||
- repo: https://github.com/Lucas-C/pre-commit-hooks-java
|
||||
rev: 1.3.10
|
||||
hooks:
|
||||
- id: validate-html
|
||||
@@ -0,0 +1,4 @@
|
||||
|
||||
|
||||
|
||||
[WIKI](https://gitlab.sailingteam.hg.tu-darmstadt.de/team/wiki/-/wikis/Software/Installation#docker)
|
||||
@@ -0,0 +1,823 @@
|
||||
{
|
||||
"cells": [
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"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"
|
||||
],
|
||||
"metadata": {
|
||||
"collapsed": false,
|
||||
"pycharm": {
|
||||
"name": "#%% md\n"
|
||||
}
|
||||
}
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 1,
|
||||
"metadata": {
|
||||
"collapsed": true,
|
||||
"pycharm": {
|
||||
"name": "#%%\n"
|
||||
}
|
||||
},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"import numpy as np\n",
|
||||
"import matplotlib.pyplot as plt"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 2,
|
||||
"outputs": [
|
||||
{
|
||||
"data": {
|
||||
"text/plain": "<Figure size 432x288 with 0 Axes>"
|
||||
},
|
||||
"execution_count": 2,
|
||||
"metadata": {},
|
||||
"output_type": "execute_result"
|
||||
},
|
||||
{
|
||||
"data": {
|
||||
"text/plain": "<Figure size 432x288 with 0 Axes>"
|
||||
},
|
||||
"metadata": {},
|
||||
"output_type": "display_data"
|
||||
}
|
||||
],
|
||||
"source": [
|
||||
"plt.figure()"
|
||||
],
|
||||
"metadata": {
|
||||
"collapsed": false,
|
||||
"pycharm": {
|
||||
"name": "#%%\n"
|
||||
}
|
||||
}
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 3,
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"size_inner = 50\n",
|
||||
"size_route = 100"
|
||||
],
|
||||
"metadata": {
|
||||
"collapsed": false,
|
||||
"pycharm": {
|
||||
"name": "#%%\n"
|
||||
}
|
||||
}
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 4,
|
||||
"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(radii: np.ndarray, angles: np.ndarray):\n",
|
||||
" return radii * np.exp(2j * angles * np.pi)\n",
|
||||
"\n",
|
||||
"def cartesian_to_polar(x: np.ndarray):\n",
|
||||
" return abs(x), np.angle(x)"
|
||||
],
|
||||
"metadata": {
|
||||
"collapsed": false,
|
||||
"pycharm": {
|
||||
"name": "#%%\n"
|
||||
}
|
||||
}
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 5,
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"def random_poligon(radius: float=2, sigma: float=1.5):\n",
|
||||
" array = polar_to_cartesian(np.random.lognormal(radius, sigma), np.random.rand(3))\n",
|
||||
" offset = np.random.randint(low=-size_route, high=size_route, size=(2, ))\n",
|
||||
" return np.real(array) + offset[0], np.imag(array) + offset[1]"
|
||||
],
|
||||
"metadata": {
|
||||
"collapsed": false,
|
||||
"pycharm": {
|
||||
"name": "#%%\n"
|
||||
}
|
||||
}
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 6,
|
||||
"outputs": [
|
||||
{
|
||||
"data": {
|
||||
"text/plain": "(array([55.26596973, 54.13445613, 51.47826712]),\n array([-53.40114172, -62.26708846, -56.88544642]))"
|
||||
},
|
||||
"execution_count": 6,
|
||||
"metadata": {},
|
||||
"output_type": "execute_result"
|
||||
}
|
||||
],
|
||||
"source": [
|
||||
"random_poligon()"
|
||||
],
|
||||
"metadata": {
|
||||
"collapsed": false,
|
||||
"pycharm": {
|
||||
"name": "#%%\n"
|
||||
}
|
||||
}
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 7,
|
||||
"outputs": [
|
||||
{
|
||||
"data": {
|
||||
"text/plain": "<function __main__.random_poligon(r: float = 2, sigma: float = 1.5)>"
|
||||
},
|
||||
"execution_count": 7,
|
||||
"metadata": {},
|
||||
"output_type": "execute_result"
|
||||
}
|
||||
],
|
||||
"source": [
|
||||
"random_poligon"
|
||||
],
|
||||
"metadata": {
|
||||
"collapsed": false,
|
||||
"pycharm": {
|
||||
"name": "#%%\n"
|
||||
}
|
||||
}
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 8,
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"def generate_obstacles(number_of_obstacles: int) -> np.ndarray:\n",
|
||||
" pass"
|
||||
],
|
||||
"metadata": {
|
||||
"collapsed": false,
|
||||
"pycharm": {
|
||||
"name": "#%%\n"
|
||||
}
|
||||
}
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 9,
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"def generate_map(seed=None):\n",
|
||||
" if seed is not None:\n",
|
||||
" np.random.seed(seed=seed)\n",
|
||||
" plt.figure(figsize=(8, 8))\n",
|
||||
" plt.axis([-size_route, size_route, -size_route, size_route])\n",
|
||||
" number_of_polygons = 10\n",
|
||||
" for _ in range(number_of_polygons):\n",
|
||||
" plt.fill(*random_poligon(1.6, 0.9))\n",
|
||||
" plt.show()"
|
||||
],
|
||||
"metadata": {
|
||||
"collapsed": false,
|
||||
"pycharm": {
|
||||
"name": "#%%\n"
|
||||
}
|
||||
}
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 10,
|
||||
"outputs": [
|
||||
{
|
||||
"data": {
|
||||
"text/plain": "[<matplotlib.patches.Polygon at 0x27a61f703d0>]"
|
||||
},
|
||||
"execution_count": 10,
|
||||
"metadata": {},
|
||||
"output_type": "execute_result"
|
||||
},
|
||||
{
|
||||
"data": {
|
||||
"text/plain": "<Figure size 432x288 with 1 Axes>",
|
||||
"image/png": "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 truncated
|
||||
},
|
||||
"metadata": {
|
||||
"needs_background": "light"
|
||||
},
|
||||
"output_type": "display_data"
|
||||
}
|
||||
],
|
||||
"source": [
|
||||
"plt.fill(*random_poligon())"
|
||||
],
|
||||
"metadata": {
|
||||
"collapsed": false,
|
||||
"pycharm": {
|
||||
"name": "#%%\n"
|
||||
}
|
||||
}
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 11,
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"r = np.random.binomial(100, 0,5)"
|
||||
],
|
||||
"metadata": {
|
||||
"collapsed": false,
|
||||
"pycharm": {
|
||||
"name": "#%%\n"
|
||||
}
|
||||
}
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 12,
|
||||
"outputs": [
|
||||
{
|
||||
"data": {
|
||||
"text/plain": "<Figure size 576x576 with 1 Axes>",
|
||||
"image/png": 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truncated
|
||||
},
|
||||
"metadata": {
|
||||
"needs_background": "light"
|
||||
},
|
||||
"output_type": "display_data"
|
||||
},
|
||||
{
|
||||
"data": {
|
||||
"text/plain": "<Figure size 576x576 with 1 Axes>",
|
||||
"image/png": "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 truncated
|
||||
},
|
||||
"metadata": {
|
||||
"needs_background": "light"
|
||||
},
|
||||
"output_type": "display_data"
|
||||
},
|
||||
{
|
||||
"data": {
|
||||
"text/plain": "<Figure size 576x576 with 1 Axes>",
|
||||
"image/png": 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|
||||
},
|
||||
"metadata": {
|
||||
"needs_background": "light"
|
||||
},
|
||||
"output_type": "display_data"
|
||||
},
|
||||
{
|
||||
"data": {
|
||||
"text/plain": "<Figure size 576x576 with 1 Axes>",
|
||||
"image/png": 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truncated
|
||||
},
|
||||
"metadata": {
|
||||
"needs_background": "light"
|
||||
},
|
||||
"output_type": "display_data"
|
||||
},
|
||||
{
|
||||
"data": {
|
||||
"text/plain": "<Figure size 576x576 with 1 Axes>",
|
||||
"image/png": 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||||
},
|
||||
"metadata": {
|
||||
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|
||||
},
|
||||
"output_type": "display_data"
|
||||
},
|
||||
{
|
||||
"data": {
|
||||
"text/plain": "<Figure size 576x576 with 1 Axes>",
|
||||
"image/png": 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truncated
|
||||
},
|
||||
"metadata": {
|
||||
"needs_background": "light"
|
||||
},
|
||||
"output_type": "display_data"
|
||||
},
|
||||
{
|
||||
"data": {
|
||||
"text/plain": "<Figure size 576x576 with 1 Axes>",
|
||||
"image/png": 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|
||||
"metadata": {
|
||||
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|
||||
},
|
||||
"output_type": "display_data"
|
||||
},
|
||||
{
|
||||
"data": {
|
||||
"text/plain": "<Figure size 576x576 with 1 Axes>",
|
||||
"image/png": 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|
||||
},
|
||||
"metadata": {
|
||||
"needs_background": "light"
|
||||
},
|
||||
"output_type": "display_data"
|
||||
},
|
||||
{
|
||||
"data": {
|
||||
"text/plain": "<Figure size 576x576 with 1 Axes>",
|
||||
"image/png": 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|
||||
},
|
||||
"metadata": {
|
||||
"needs_background": "light"
|
||||
},
|
||||
"output_type": "display_data"
|
||||
},
|
||||
{
|
||||
"data": {
|
||||
"text/plain": "<Figure size 576x576 with 1 Axes>",
|
||||
"image/png": 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|
||||
},
|
||||
"metadata": {
|
||||
"needs_background": "light"
|
||||
},
|
||||
"output_type": "display_data"
|
||||
},
|
||||
{
|
||||
"data": {
|
||||
"text/plain": "<Figure size 576x576 with 1 Axes>",
|
||||
"image/png": 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||||
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|
||||
"metadata": {
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||||
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||||
},
|
||||
"output_type": "display_data"
|
||||
},
|
||||
{
|
||||
"data": {
|
||||
"text/plain": "<Figure size 576x576 with 1 Axes>",
|
||||
"image/png": 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|
||||
},
|
||||
"metadata": {
|
||||
"needs_background": "light"
|
||||
},
|
||||
"output_type": "display_data"
|
||||
},
|
||||
{
|
||||
"data": {
|
||||
"text/plain": "<Figure size 576x576 with 1 Axes>",
|
||||
"image/png": 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||||
},
|
||||
"metadata": {
|
||||
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||||
},
|
||||
"output_type": "display_data"
|
||||
},
|
||||
{
|
||||
"data": {
|
||||
"text/plain": "<Figure size 576x576 with 1 Axes>",
|
||||
"image/png": 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|
||||
},
|
||||
"metadata": {
|
||||
"needs_background": "light"
|
||||
},
|
||||
"output_type": "display_data"
|
||||
},
|
||||
{
|
||||
"data": {
|
||||
"text/plain": "<Figure size 576x576 with 1 Axes>",
|
||||
"image/png": 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|
||||
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||||
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},
|
||||
"output_type": "display_data"
|
||||
},
|
||||
{
|
||||
"data": {
|
||||
"text/plain": "<Figure size 576x576 with 1 Axes>",
|
||||
"image/png": 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|
||||
},
|
||||
"metadata": {
|
||||
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|
||||
},
|
||||
"output_type": "display_data"
|
||||
},
|
||||
{
|
||||
"data": {
|
||||
"text/plain": "<Figure size 576x576 with 1 Axes>",
|
||||
"image/png": 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||||
},
|
||||
"metadata": {
|
||||
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|
||||
},
|
||||
"output_type": "display_data"
|
||||
},
|
||||
{
|
||||
"data": {
|
||||
"text/plain": "<Figure size 576x576 with 1 Axes>",
|
||||
"image/png": 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truncated
|
||||
},
|
||||
"metadata": {
|
||||
"needs_background": "light"
|
||||
},
|
||||
"output_type": "display_data"
|
||||
},
|
||||
{
|
||||
"data": {
|
||||
"text/plain": "<Figure size 576x576 with 1 Axes>",
|
||||
"image/png": 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|
||||
},
|
||||
"metadata": {
|
||||
"needs_background": "light"
|
||||
},
|
||||
"output_type": "display_data"
|
||||
},
|
||||
{
|
||||
"data": {
|
||||
"text/plain": "<Figure size 576x576 with 1 Axes>",
|
||||
"image/png": 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truncated
|
||||
},
|
||||
"metadata": {
|
||||
"needs_background": "light"
|
||||
},
|
||||
"output_type": "display_data"
|
||||
},
|
||||
{
|
||||
"data": {
|
||||
"text/plain": "<Figure size 576x576 with 1 Axes>",
|
||||
"image/png": 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|
||||
},
|
||||
"metadata": {
|
||||
"needs_background": "light"
|
||||
},
|
||||
"output_type": "display_data"
|
||||
},
|
||||
{
|
||||
"data": {
|
||||
"text/plain": "<Figure size 576x576 with 1 Axes>",
|
||||
"image/png": 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truncated
|
||||
},
|
||||
"metadata": {
|
||||
"needs_background": "light"
|
||||
},
|
||||
"output_type": "display_data"
|
||||
},
|
||||
{
|
||||
"data": {
|
||||
"text/plain": "<Figure size 576x576 with 1 Axes>",
|
||||
"image/png": 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|
||||
},
|
||||
"metadata": {
|
||||
"needs_background": "light"
|
||||
},
|
||||
"output_type": "display_data"
|
||||
},
|
||||
{
|
||||
"data": {
|
||||
"text/plain": "<Figure size 576x576 with 1 Axes>",
|
||||
"image/png": 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truncated
|
||||
},
|
||||
"metadata": {
|
||||
"needs_background": "light"
|
||||
},
|
||||
"output_type": "display_data"
|
||||
},
|
||||
{
|
||||
"data": {
|
||||
"text/plain": "<Figure size 576x576 with 1 Axes>",
|
||||
"image/png": 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|
||||
},
|
||||
"metadata": {
|
||||
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|
||||
},
|
||||
"output_type": "display_data"
|
||||
},
|
||||
{
|
||||
"data": {
|
||||
"text/plain": "<Figure size 576x576 with 1 Axes>",
|
||||
"image/png": 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truncated
|
||||
},
|
||||
"metadata": {
|
||||
"needs_background": "light"
|
||||
},
|
||||
"output_type": "display_data"
|
||||
},
|
||||
{
|
||||
"data": {
|
||||
"text/plain": "<Figure size 576x576 with 1 Axes>",
|
||||
"image/png": 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|
||||
},
|
||||
"metadata": {
|
||||
"needs_background": "light"
|
||||
},
|
||||
"output_type": "display_data"
|
||||
},
|
||||
{
|
||||
"data": {
|
||||
"text/plain": "<Figure size 576x576 with 1 Axes>",
|
||||
"image/png": 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truncated
|
||||
},
|
||||
"metadata": {
|
||||
"needs_background": "light"
|
||||
},
|
||||
"output_type": "display_data"
|
||||
},
|
||||
{
|
||||
"data": {
|
||||
"text/plain": "<Figure size 576x576 with 1 Axes>",
|
||||
"image/png": 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|
||||
},
|
||||
"metadata": {
|
||||
"needs_background": "light"
|
||||
},
|
||||
"output_type": "display_data"
|
||||
},
|
||||
{
|
||||
"data": {
|
||||
"text/plain": "<Figure size 576x576 with 1 Axes>",
|
||||
"image/png": 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truncated
|
||||
},
|
||||
"metadata": {
|
||||
"needs_background": "light"
|
||||
},
|
||||
"output_type": "display_data"
|
||||
},
|
||||
{
|
||||
"data": {
|
||||
"text/plain": "<Figure size 576x576 with 1 Axes>",
|
||||
"image/png": 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||||
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||||
"output_type": "display_data"
|
||||
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|
||||
{
|
||||
"data": {
|
||||
"text/plain": "<Figure size 576x576 with 1 Axes>",
|
||||
"image/png": 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|
||||
},
|
||||
"metadata": {
|
||||
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|
||||
},
|
||||
"output_type": "display_data"
|
||||
},
|
||||
{
|
||||
"data": {
|
||||
"text/plain": "<Figure size 576x576 with 1 Axes>",
|
||||
"image/png": 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||||
"metadata": {
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||||
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|
||||
},
|
||||
"output_type": "display_data"
|
||||
},
|
||||
{
|
||||
"data": {
|
||||
"text/plain": "<Figure size 576x576 with 1 Axes>",
|
||||
"image/png": 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||||
},
|
||||
"metadata": {
|
||||
"needs_background": "light"
|
||||
},
|
||||
"output_type": "display_data"
|
||||
},
|
||||
{
|
||||
"data": {
|
||||
"text/plain": "<Figure size 576x576 with 1 Axes>",
|
||||
"image/png": 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||||
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||||
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||||
},
|
||||
"output_type": "display_data"
|
||||
},
|
||||
{
|
||||
"data": {
|
||||
"text/plain": "<Figure size 576x576 with 1 Axes>",
|
||||
"image/png": 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|
||||
},
|
||||
"metadata": {
|
||||
"needs_background": "light"
|
||||
},
|
||||
"output_type": "display_data"
|
||||
},
|
||||
{
|
||||
"data": {
|
||||
"text/plain": "<Figure size 576x576 with 1 Axes>",
|
||||
"image/png": 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||||
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|
||||
"metadata": {
|
||||
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||||
},
|
||||
"output_type": "display_data"
|
||||
},
|
||||
{
|
||||
"data": {
|
||||
"text/plain": "<Figure size 576x576 with 1 Axes>",
|
||||
"image/png": 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|
||||
},
|
||||
"metadata": {
|
||||
"needs_background": "light"
|
||||
},
|
||||
"output_type": "display_data"
|
||||
},
|
||||
{
|
||||
"data": {
|
||||
"text/plain": "<Figure size 576x576 with 1 Axes>",
|
||||
"image/png": 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||||
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||||
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||||
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||||
},
|
||||
"output_type": "display_data"
|
||||
},
|
||||
{
|
||||
"data": {
|
||||
"text/plain": "<Figure size 576x576 with 1 Axes>",
|
||||
"image/png": 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|
||||
},
|
||||
"metadata": {
|
||||
"needs_background": "light"
|
||||
},
|
||||
"output_type": "display_data"
|
||||
},
|
||||
{
|
||||
"data": {
|
||||
"text/plain": "<Figure size 576x576 with 1 Axes>",
|
||||
"image/png": 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|
||||
"metadata": {
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||||
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||||
},
|
||||
"output_type": "display_data"
|
||||
},
|
||||
{
|
||||
"data": {
|
||||
"text/plain": "<Figure size 576x576 with 1 Axes>",
|
||||
"image/png": 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|
||||
},
|
||||
"metadata": {
|
||||
"needs_background": "light"
|
||||
},
|
||||
"output_type": "display_data"
|
||||
},
|
||||
{
|
||||
"data": {
|
||||
"text/plain": "<Figure size 576x576 with 1 Axes>",
|
||||
"image/png": 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|
||||
},
|
||||
"metadata": {
|
||||
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|
||||
},
|
||||
"output_type": "display_data"
|
||||
},
|
||||
{
|
||||
"data": {
|
||||
"text/plain": "<Figure size 576x576 with 1 Axes>",
|
||||
"image/png": 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truncated
|
||||
},
|
||||
"metadata": {
|
||||
"needs_background": "light"
|
||||
},
|
||||
"output_type": "display_data"
|
||||
},
|
||||
{
|
||||
"data": {
|
||||
"text/plain": "<Figure size 576x576 with 1 Axes>",
|
||||
"image/png": 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||||
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|
||||
"metadata": {
|
||||
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||||
},
|
||||
"output_type": "display_data"
|
||||
},
|
||||
{
|
||||
"data": {
|
||||
"text/plain": "<Figure size 576x576 with 1 Axes>",
|
||||
"image/png": 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|
||||
},
|
||||
"metadata": {
|
||||
"needs_background": "light"
|
||||
},
|
||||
"output_type": "display_data"
|
||||
},
|
||||
{
|
||||
"data": {
|
||||
"text/plain": "<Figure size 576x576 with 1 Axes>",
|
||||
"image/png": 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||||
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|
||||
"metadata": {
|
||||
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||||
},
|
||||
"output_type": "display_data"
|
||||
},
|
||||
{
|
||||
"data": {
|
||||
"text/plain": "<Figure size 576x576 with 1 Axes>",
|
||||
"image/png": 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|
||||
},
|
||||
"metadata": {
|
||||
"needs_background": "light"
|
||||
},
|
||||
"output_type": "display_data"
|
||||
},
|
||||
{
|
||||
"data": {
|
||||
"text/plain": "<Figure size 576x576 with 1 Axes>",
|
||||
"image/png": 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truncated
|
||||
},
|
||||
"metadata": {
|
||||
"needs_background": "light"
|
||||
},
|
||||
"output_type": "display_data"
|
||||
},
|
||||
{
|
||||
"data": {
|
||||
"text/plain": "<Figure size 576x576 with 1 Axes>",
|
||||
"image/png": 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truncated
|
||||
},
|
||||
"metadata": {
|
||||
"needs_background": "light"
|
||||
},
|
||||
"output_type": "display_data"
|
||||
}
|
||||
],
|
||||
"source": [
|
||||
"for _ in range(50):\n",
|
||||
" generate_map()"
|
||||
],
|
||||
"metadata": {
|
||||
"collapsed": false,
|
||||
"pycharm": {
|
||||
"name": "#%%\n"
|
||||
}
|
||||
}
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 12,
|
||||
"outputs": [],
|
||||
"source": [],
|
||||
"metadata": {
|
||||
"collapsed": false,
|
||||
"pycharm": {
|
||||
"name": "#%%\n"
|
||||
}
|
||||
}
|
||||
}
|
||||
],
|
||||
"metadata": {
|
||||
"kernelspec": {
|
||||
"display_name": "Python 3",
|
||||
"language": "python",
|
||||
"name": "python3"
|
||||
},
|
||||
"language_info": {
|
||||
"codemirror_mode": {
|
||||
"name": "ipython",
|
||||
"version": 2
|
||||
},
|
||||
"file_extension": ".py",
|
||||
"mimetype": "text/x-python",
|
||||
"name": "python",
|
||||
"nbconvert_exporter": "python",
|
||||
"pygments_lexer": "ipython2",
|
||||
"version": "2.7.6"
|
||||
}
|
||||
},
|
||||
"nbformat": 4,
|
||||
"nbformat_minor": 0
|
||||
}
|
||||
Submodule
+1
Submodule model added at c17462041b.
Generated
+2741
File diff suppressed because it is too large.
Load diff
@@ -0,0 +1,23 @@
|
||||
[tool.poetry]
|
||||
name = "ml-programmiereprojekt"
|
||||
version = "0.1.0"
|
||||
description = ""
|
||||
authors = ["Philipp Horstenkamp <philipp@horstenkamp.de>"]
|
||||
|
||||
[tool.poetry.dependencies]
|
||||
python = ">=3.9, <3.11"
|
||||
pandas = "^1.4.2"
|
||||
numpy = "^1.22.3"
|
||||
tensorflow = "^2.8.0"
|
||||
scipy = "^1.8.0"
|
||||
Shapely = "^1.8.2"
|
||||
|
||||
[tool.poetry.dev-dependencies]
|
||||
black = {extras = ["jupyter"], version = "^22.3.0"}
|
||||
jupyter = "^1.0.0"
|
||||
matplotlib = "^3.5.1"
|
||||
|
||||
[build-system]
|
||||
requires = ["poetry-core>=1.0.0"]
|
||||
build-backend = "poetry.core.masonry.api"
|
||||
|
||||
Submodule
+1
Submodule pyrate added at 1415645163.
Submodule
+1
Submodule ros-nodes added at 69495ee41d.
@@ -0,0 +1,26 @@
|
||||
FROM ros:humble-ros-base-jammy
|
||||
|
||||
# Resolve APT dependencies
|
||||
RUN apt-get update -qq
|
||||
RUN apt-get install apt-utils software-properties-common -yqq
|
||||
RUN add-apt-repository ppa:antiprism/ppa -y
|
||||
RUN apt-get install apt-utils software-properties-common python3-pip g++ python3-dev python3-gdal libgdal-dev libsqlite3-mod-spatialite antiprism git libqt5gui5 libqt5core5a qtbase5-dev qtchooser qt5-qmake qtbase5-dev-tools libxtst6 libasound2 -yqq
|
||||
|
||||
# Clone and install Pyrate
|
||||
COPY pyrate/ pyrate
|
||||
RUN pip3 install ./pyrate
|
||||
|
||||
# Clone and install Model
|
||||
COPY model/ model
|
||||
RUN pip3 install ./model
|
||||
|
||||
# Clone ROS nodes and install requirements
|
||||
COPY ros-nodes/ ros-nodes
|
||||
|
||||
WORKDIR ros-nodes
|
||||
RUN pip3 install -r requirements.txt
|
||||
RUN rosdep update -q
|
||||
RUN rosdep install -q -y -i --from-path src --as-root pip:false
|
||||
RUN pip install jupyter
|
||||
SHELL ["/bin/bash", "-c", "source /opt/ros/humble/setup.bash && colcon build --symlink-install"]
|
||||
RUN source install/setup.bash
|
||||
Reference in new issue
Block a user