<jupyter_start><jupyter_text><jupyter_code>from google.colab import drive
drive.mount('/content/gdrive')
cd /content/gdrive/My\ Drive/YoloV3_Dataset/customdata/
!bash planercnn_cuda.sh
cd /content/gdrive/My Drive/YoloV3_Dataset/customdata/planercnn/
ls
!python evaluate.py --methods=f --suffix=warping_refine --dataset=inference --customDataFolder=example_images<jupyter_output>the number of images 3590

  0% 0/3590 [00:00<?, ?it/s]/content/gdrive/My Drive/YoloV3_Dataset/customdata/planercnn/models/model.py:1473: UserWarning: nn.init.xavier_uniform is now deprecated in favor of nn.init.xavier_uniform_.
  nn.init.xavier_uniform(m.weight)
rm: cannot remove 'test/inference/*_final.png': No such file or directory
THCudaCheck FAIL file=/pytorch/aten/src/THC/THCGeneral.cpp line=663 error=11 : invalid argument
/usr/local/lib/python3.6/dist-packages/torch/nn/functional.py:1890: UserWarning: nn.functional.upsample is deprecated. Use nn.functional.interpolate instead.
  warnings.warn("nn.functional.upsample is deprecated. Use nn.functional.interpolate instead.")
/usr/local/lib/python3.6/dist-packages/torch/nn/modules/upsampling.py:122: UserWarning: nn.Upsampling is deprecated. Use nn.functional.interpolate instead.
  warnings.warn("nn.Upsampling is deprecated. Use nn.functional.interpolate instead.")
/usr/local/lib/python3.6/dist-packages/torch/nn/functional.py:1961: U[...]
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{'chain_length': '1', 'dir': 'jupyter-structured-clean-dedup', 'id': '485352', 'license': 'MIT', 'n_tokens_mistral': 511, 'n_tokens_neox': 483, 'n_words': 86, 'path': 'S2/Plane_rcnn.ipynb', 'repo_name': 'rameshveer/NLP_Projects_TSAI', 'size': '1383'}