58 lines
2.0 KiB
Python
58 lines
2.0 KiB
Python
! pip install pyyaml==5.2
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! pip install scipy==1.1.0
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#! pip install torch==1.2.0 torchvision==0.4.0
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#! pip install pillow==6.2.2
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import torch
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print(torch.__version__)
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import yaml, scipy
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print(yaml.__version__)
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print(scipy.__version__)
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import os
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!rm -rf /kaggle/working/AlphaPose
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os.chdir('/kaggle/working/')
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#!git clone https://github.com/MVIG-SJTU/AlphaPose.git
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!git clone https://github.com/WildflowerSchools/AlphaPose
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!python -m pip install cython
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!apt-get install libyaml-dev
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import os
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os.chdir('/kaggle/working/AlphaPose')
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print(os.getcwd())
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! python setup.py build develop
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import gdown
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import os
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for o1, o2 in [
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(
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'1D47msNOOiJKvPOXlnpyzdKA3k6E97NTC',
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'/kaggle/working/AlphaPose/detector/yolo/data/yolov3-spp.weights',
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),
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(
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'1nlnuYfGNuHWZztQHXwVZSL_FvfE551pA',
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'/kaggle/working/AlphaPose/detector/tracker/data/JDE-1088x608-uncertainty',
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),
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(
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'1kQhnMRURFiy7NsdS8EFL-8vtqEXOgECn',
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'/kaggle/working/AlphaPose/pretrained_models/fast_res50_256x192.pth'
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),
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]:
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os.makedirs(os.path.split(o2)[0], exist_ok=True)
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gdown.download(
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'https://drive.google.com/u/0/uc?export=download&confirm=f_Ix&id=%s' % o1,
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o2,
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quiet=False
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)
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import os
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os.chdir('/kaggle/working/AlphaPose')
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! ls
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! mkdir -p /kaggle/working/test-input && mkdir -p /kaggle/working/test-output && cp examples/demo/*.jpg /kaggle/working/test-input
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#! cd /kaggle/working/AlphaPose && python3 scripts/demo_inference.py --outdir /kagle/working/test-output --cfg configs/coco/resnet/256x192_res50_lr1e-3_1x.yaml --checkpoint pretrained_models/fast_res50_256x192.pth --indir /kaggle/working/test-input --save_img
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! cd /kaggle/working/AlphaPose && python3 scripts/demo_inference.py --cfg configs/coco/resnet/256x192_res50_lr1e-3_1x.yaml --checkpoint pretrained_models/fast_res50_256x192.pth --indir /kaggle/working/test-input --save_img
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# result json and rendered images are saved here:
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! ls examples/res/
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! ls examples/res/vis
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