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Merge branch 'dev'
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README.md

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You will need ~7GB RAM and ~10GB disk space
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I am using Ubuntu 18.04 [multipass](https://multipass.run/) instance: `multipass launch -c 6 -d 10G -m 7G 18.04`.
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I am using Ubuntu 18.04 (python 3.6) [multipass](https://multipass.run/) instance: `multipass launch -c 6 -d 10G -m 7G 18.04`.
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### Requirements
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```bash
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git clone https://github.com/banderlog/opencv-python-inference-engine
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cd opencv-python-inference-engine
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# git checkout dev
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./download_all_stuff.sh
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```
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build/opencv/opencv_setup.sh

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-D FFMPEG_INCLUDE_DIRS=$FFMPEG_PATH/include \
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-D INF_ENGINE_INCLUDE_DIRS=$ABS_PORTION/dldt/inference-engine/include \
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-D INF_ENGINE_LIB_DIRS=$ABS_PORTION/dldt/bin/intel64/Release/lib \
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-D INF_ENGINE_RELEASE=2021030000 \
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-D INF_ENGINE_RELEASE=2021040000 \
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-D INSTALL_CREATE_DISTRIB=ON \
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-D INSTALL_C_EXAMPLES=OFF \
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-D INSTALL_PYTHON_EXAMPLES=OFF \

create_wheel/setup.py

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setuptools.setup(
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name='opencv-python-inference-engine',
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version='2021.04.13',
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version='2021.07.10',
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url="https://github.com/banderlog/opencv-python-inference-engine",
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maintainer="Kabakov Borys",
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license='MIT, Apache 2.0',

dldt

Submodule dldt updated 10007 files

download_all_stuff.sh

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fi
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green "RESET GIT SUBMODULES"
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# use `git fetch --unshallow && git checkout tags/<tag>` for update
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# git checkout dev
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# use `git fetch --tags && git checkout tags/<tag>` for update
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git submodule update --init --recursive --depth=1 --jobs=4
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# restore changes command will differ between GIT versions (e.g., `restore`)
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git submodule foreach --recursive git checkout .
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find build/dldt/ -mindepth 1 -not -name 'dldt_setup.sh' -not -name '*.patch' -delete
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find build/opencv/ -mindepth 1 -not -name 'opencv_setup.sh' -delete
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find build/ffmpeg/ -mindepth 1 -not -name 'ffmpeg_*.sh' -delete
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find build/openblas/ -mindepth 1 -not -name 'openblas_setup.sh' -delete
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green "CLEAN WHEEL DIR"
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find create_wheel/cv2/ -type f -not -name '__init__.py' -delete

ffmpeg

Submodule ffmpeg updated 1963 files

opencv

Submodule opencv updated 434 files

tests/README.md

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Something like below. The general idea is to test only inference speed, without preprocessing and decoding.
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Also, 1st inference must not count, because it will load all stuff into memory.
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I prefer to do such things in `ipython` or `jupyter` with `%timeit`.
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**NB:** be strict about Backend and Target
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tests/examples.ipynb

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tests/helloworld.png

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