gpu support for autolabeling is now possible for yolov5 #4
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vietanhdev
requested changes
Apr 12, 2023
opencv_dnn.sh
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I think this file is not necessary because it cannot cover well on different machines.
Please remove this file. We will create a documentation site in the future for installation guide.
opencv_dnn.sh
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| # ln -s command is used to create a symbolic link, also known as a symlink or soft link | ||
| cd ~/.virtualenvs/opencv_cuda/lib/python3.8/site-packages/ |
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Maybe other users do not have ~/.virtualenvs as you.
opencv_dnn.sh
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| # Uninstall openCV dependencies, since dnn module installed from source is not recognize by pip | ||
| pip uninstall opencv-contrib-python-headless opencv-python-headless | ||
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You should not add too many new lines in the end.
1 is enough.
| @@ -167,7 +167,7 @@ def save( | |||
| if flags is None: | |||
| flags = {} | |||
| data = dict( | |||
| version=__version__, | |||
| #version=__version__, | |||
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Please merge with the latest master. I have fixed this issue. Thanks.
added 10 commits
April 12, 2023 18:22
vietanhdev
approved these changes
Apr 12, 2023
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If dnn module with GPU support for openCV is available, the labeling will be done into the GPU.
You must install your dnn module with GPU support following by running the file
opencv_dnn.sh.This file is based on the instructions provided by Adrian Rosebrock (@jrosebr1) and he has the whole credit and not me.
TODO List