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# Repo-specific DockerIgnore -------------------------------------------------------------------------------------------
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#.git
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.cache
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.idea
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runs
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output
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coco
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storage.googleapis.com
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data/samples/*
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**/results*.csv
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*.jpg
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# Neural Network weights -----------------------------------------------------------------------------------------------
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**/*.pt
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**/*.pth
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**/*.onnx
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**/*.engine
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**/*.mlmodel
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**/*.torchscript
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**/*.torchscript.pt
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**/*.tflite
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**/*.h5
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**/*.pb
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*_saved_model/
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*_web_model/
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*_openvino_model/
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# Below Copied From .gitignore -----------------------------------------------------------------------------------------
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# Below Copied From .gitignore -----------------------------------------------------------------------------------------
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# GitHub Python GitIgnore ----------------------------------------------------------------------------------------------
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# Byte-compiled / optimized / DLL files
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__pycache__/
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*.py[cod]
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*$py.class
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# C extensions
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*.so
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# Distribution / packaging
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.Python
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env/
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build/
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develop-eggs/
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dist/
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downloads/
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eggs/
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.eggs/
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lib/
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lib64/
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parts/
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sdist/
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var/
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wheels/
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*.egg-info/
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wandb/
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.installed.cfg
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*.egg
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# PyInstaller
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# Usually these files are written by a python script from a template
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# before PyInstaller builds the exe, so as to inject date/other infos into it.
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*.manifest
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*.spec
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# Installer logs
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pip-log.txt
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pip-delete-this-directory.txt
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||||
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# Unit test / coverage reports
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htmlcov/
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.tox/
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.coverage
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.coverage.*
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.cache
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nosetests.xml
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coverage.xml
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*.cover
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.hypothesis/
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# Translations
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*.mo
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*.pot
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# Django stuff:
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*.log
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||||
local_settings.py
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||||
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# Flask stuff:
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instance/
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||||
.webassets-cache
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||||
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||||
# Scrapy stuff:
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||||
.scrapy
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||||
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||||
# Sphinx documentation
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docs/_build/
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||||
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||||
# PyBuilder
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target/
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||||
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# Jupyter Notebook
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.ipynb_checkpoints
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# pyenv
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.python-version
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# celery beat schedule file
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celerybeat-schedule
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# SageMath parsed files
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*.sage.py
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# dotenv
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.env
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# virtualenv
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.venv*
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venv*/
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ENV*/
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||||
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# Spyder project settings
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||||
.spyderproject
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||||
.spyproject
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||||
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||||
# Rope project settings
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||||
.ropeproject
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||||
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# mkdocs documentation
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/site
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# mypy
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.mypy_cache/
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||||
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# https://github.com/github/gitignore/blob/master/Global/macOS.gitignore -----------------------------------------------
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||||
|
||||
# General
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||||
.DS_Store
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||||
.AppleDouble
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||||
.LSOverride
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||||
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||||
# Icon must end with two \r
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||||
Icon
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Icon?
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||||
|
||||
# Thumbnails
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||||
._*
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||||
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||||
# Files that might appear in the root of a volume
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||||
.DocumentRevisions-V100
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.fseventsd
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.Spotlight-V100
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.TemporaryItems
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.Trashes
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.VolumeIcon.icns
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.com.apple.timemachine.donotpresent
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||||
# Directories potentially created on remote AFP share
|
||||
.AppleDB
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.AppleDesktop
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Network Trash Folder
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Temporary Items
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||||
.apdisk
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||||
|
||||
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||||
# https://github.com/github/gitignore/blob/master/Global/JetBrains.gitignore
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||||
# Covers JetBrains IDEs: IntelliJ, RubyMine, PhpStorm, AppCode, PyCharm, CLion, Android Studio and WebStorm
|
||||
# Reference: https://intellij-support.jetbrains.com/hc/en-us/articles/206544839
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||||
|
||||
# User-specific stuff:
|
||||
.idea/*
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||||
.idea/**/workspace.xml
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||||
.idea/**/tasks.xml
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||||
.idea/dictionaries
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||||
.html # Bokeh Plots
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.pg # TensorFlow Frozen Graphs
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.avi # videos
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||||
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||||
# Sensitive or high-churn files:
|
||||
.idea/**/dataSources/
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||||
.idea/**/dataSources.ids
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||||
.idea/**/dataSources.local.xml
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||||
.idea/**/sqlDataSources.xml
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.idea/**/dynamic.xml
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.idea/**/uiDesigner.xml
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||||
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# Gradle:
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||||
.idea/**/gradle.xml
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||||
.idea/**/libraries
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||||
|
||||
# CMake
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||||
cmake-build-debug/
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||||
cmake-build-release/
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||||
|
||||
# Mongo Explorer plugin:
|
||||
.idea/**/mongoSettings.xml
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||||
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||||
## File-based project format:
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||||
*.iws
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||||
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||||
## Plugin-specific files:
|
||||
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||||
# IntelliJ
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||||
out/
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||||
|
||||
# mpeltonen/sbt-idea plugin
|
||||
.idea_modules/
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||||
|
||||
# JIRA plugin
|
||||
atlassian-ide-plugin.xml
|
||||
|
||||
# Cursive Clojure plugin
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||||
.idea/replstate.xml
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||||
|
||||
# Crashlytics plugin (for Android Studio and IntelliJ)
|
||||
com_crashlytics_export_strings.xml
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||||
crashlytics.properties
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||||
crashlytics-build.properties
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||||
fabric.properties
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||||
Executable
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# YOLOv5 🚀 by Ultralytics, GPL-3.0 license
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# Builds ultralytics/yolov5:latest image on DockerHub https://hub.docker.com/r/ultralytics/yolov5
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# Image is CUDA-optimized for YOLOv5 single/multi-GPU training and inference
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# Start FROM NVIDIA PyTorch image https://ngc.nvidia.com/catalog/containers/nvidia:pytorch
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FROM nvcr.io/nvidia/pytorch:22.05-py3
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RUN rm -rf /opt/pytorch # remove 1.2GB dir
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# Downloads to user config dir
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ADD https://ultralytics.com/assets/Arial.ttf https://ultralytics.com/assets/Arial.Unicode.ttf /root/.config/Ultralytics/
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# Install linux packages
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||||
RUN apt update && apt install --no-install-recommends -y zip htop screen libgl1-mesa-glx
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# Install pip packages
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COPY requirements.txt .
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RUN python -m pip install --upgrade pip
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RUN pip uninstall -y torch torchvision torchtext Pillow
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RUN pip install --no-cache -r requirements.txt albumentations wandb gsutil notebook Pillow>=9.1.0 \
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'opencv-python<4.6.0.66' \
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--extra-index-url https://download.pytorch.org/whl/cu113
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# Create working directory
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RUN mkdir -p /usr/src/app
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WORKDIR /usr/src/app
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# Copy contents
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COPY . /usr/src/app
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RUN git clone https://github.com/ultralytics/yolov5 /usr/src/yolov5
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# Set environment variables
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ENV OMP_NUM_THREADS=8
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# Usage Examples -------------------------------------------------------------------------------------------------------
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||||
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||||
# Build and Push
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||||
# t=ultralytics/yolov5:latest && sudo docker build -f utils/docker/Dockerfile -t $t . && sudo docker push $t
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# Pull and Run
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# t=ultralytics/yolov5:latest && sudo docker pull $t && sudo docker run -it --ipc=host --gpus all $t
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# Pull and Run with local directory access
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# t=ultralytics/yolov5:latest && sudo docker pull $t && sudo docker run -it --ipc=host --gpus all -v "$(pwd)"/datasets:/usr/src/datasets $t
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# Kill all
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# sudo docker kill $(sudo docker ps -q)
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# Kill all image-based
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# sudo docker kill $(sudo docker ps -qa --filter ancestor=ultralytics/yolov5:latest)
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# Bash into running container
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||||
# sudo docker exec -it 5a9b5863d93d bash
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# Bash into stopped container
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# id=$(sudo docker ps -qa) && sudo docker start $id && sudo docker exec -it $id bash
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# Clean up
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||||
# docker system prune -a --volumes
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# Update Ubuntu drivers
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# https://www.maketecheasier.com/install-nvidia-drivers-ubuntu/
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# DDP test
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# python -m torch.distributed.run --nproc_per_node 2 --master_port 1 train.py --epochs 3
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# GCP VM from Image
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# docker.io/ultralytics/yolov5:latest
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Executable
+42
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# YOLOv5 🚀 by Ultralytics, GPL-3.0 license
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# Builds ultralytics/yolov5:latest-arm64 image on DockerHub https://hub.docker.com/r/ultralytics/yolov5
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# Image is aarch64-compatible for Apple M1 and other ARM architectures i.e. Jetson Nano and Raspberry Pi
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# Start FROM Ubuntu image https://hub.docker.com/_/ubuntu
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FROM arm64v8/ubuntu:20.04
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# Downloads to user config dir
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ADD https://ultralytics.com/assets/Arial.ttf https://ultralytics.com/assets/Arial.Unicode.ttf /root/.config/Ultralytics/
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# Install linux packages
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RUN apt update
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RUN DEBIAN_FRONTEND=noninteractive TZ=Etc/UTC apt install -y tzdata
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RUN apt install --no-install-recommends -y python3-pip git zip curl htop gcc \
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libgl1-mesa-glx libglib2.0-0 libpython3.8-dev
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# RUN alias python=python3
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# Install pip packages
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COPY requirements.txt .
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RUN python3 -m pip install --upgrade pip
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RUN pip install --no-cache -r requirements.txt gsutil notebook \
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tensorflow-aarch64
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# tensorflowjs \
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# onnx onnx-simplifier onnxruntime \
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# coremltools openvino-dev \
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# Create working directory
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RUN mkdir -p /usr/src/app
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WORKDIR /usr/src/app
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# Copy contents
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COPY . /usr/src/app
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RUN git clone https://github.com/ultralytics/yolov5 /usr/src/yolov5
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# Usage Examples -------------------------------------------------------------------------------------------------------
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# Build and Push
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||||
# t=ultralytics/yolov5:latest-M1 && sudo docker build --platform linux/arm64 -f utils/docker/Dockerfile-arm64 -t $t . && sudo docker push $t
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# Pull and Run
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# t=ultralytics/yolov5:latest-M1 && sudo docker pull $t && sudo docker run -it --ipc=host -v "$(pwd)"/datasets:/usr/src/datasets $t
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Executable
+39
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# YOLOv5 🚀 by Ultralytics, GPL-3.0 license
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# Builds ultralytics/yolov5:latest-cpu image on DockerHub https://hub.docker.com/r/ultralytics/yolov5
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||||
# Image is CPU-optimized for ONNX, OpenVINO and PyTorch YOLOv5 deployments
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# Start FROM Ubuntu image https://hub.docker.com/_/ubuntu
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FROM ubuntu:20.04
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# Downloads to user config dir
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ADD https://ultralytics.com/assets/Arial.ttf https://ultralytics.com/assets/Arial.Unicode.ttf /root/.config/Ultralytics/
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# Install linux packages
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||||
RUN apt update
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RUN DEBIAN_FRONTEND=noninteractive TZ=Etc/UTC apt install -y tzdata
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RUN apt install --no-install-recommends -y python3-pip git zip curl htop libgl1-mesa-glx libglib2.0-0 libpython3.8-dev
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# RUN alias python=python3
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# Install pip packages
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||||
COPY requirements.txt .
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RUN python3 -m pip install --upgrade pip
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RUN pip install --no-cache -r requirements.txt albumentations gsutil notebook \
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coremltools onnx onnx-simplifier onnxruntime openvino-dev tensorflow-cpu tensorflowjs \
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--extra-index-url https://download.pytorch.org/whl/cpu
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# Create working directory
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RUN mkdir -p /usr/src/app
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WORKDIR /usr/src/app
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# Copy contents
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||||
COPY . /usr/src/app
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||||
RUN git clone https://github.com/ultralytics/yolov5 /usr/src/yolov5
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# Usage Examples -------------------------------------------------------------------------------------------------------
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||||
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||||
# Build and Push
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||||
# t=ultralytics/yolov5:latest-cpu && sudo docker build -f utils/docker/Dockerfile-cpu -t $t . && sudo docker push $t
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# Pull and Run
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# t=ultralytics/yolov5:latest-cpu && sudo docker pull $t && sudo docker run -it --ipc=host -v "$(pwd)"/datasets:/usr/src/datasets $t
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