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vid2densepose's Introduction

Vid2DensePose

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Overview

The Vid2DensePose is a powerful tool designed for applying the DensePose model to videos, generating detailed "Part Index" visualizations for each frame. This tool is exceptionally useful for enhancing animations, particularly when used in conjunction with MagicAnimate for temporally consistent human image animation.

Key Features

  • Enhanced Output: Produces video files showcasing DensePosedata in a vivid, color-coded format.
  • MagicAnimate Integration: Seamlessly compatible with MagicAnimate to foster advanced human animation projects.

Prerequisites

To utilize this tool, ensure the installation of:

  • Python 3.8 or later
  • PyTorch (preferably with CUDA for GPU support)
  • Detectron2

Installation Steps

  1. Clone the repository:

    git clone https://github.com/Flode-Labs/vid2densepose.git
    cd vid2densepose
  2. Install necessary Python packages:

    pip install -r requirements.txt
  3. Clone the Detectron repository:

    git clone https://github.com/facebookresearch/detectron2.git

Usage Guide

Run the script:

python main.py -i sample_videos/input_video.mp4 -o sample_videos/output_video.mp4

The script processes the input video and generates an output with the densePose format.

Gradio version

You can also use the Gradio to run the script with an interface. To do so, run the following command:

python app.py

Integration with MagicAnimate

For integration with MagicAnimate:

  1. Create the densepose video using the steps outlined above.
  2. Use this output as an input to MagicAnimate for generating temporally consistent animations.

Acknowledgments

Special thanks to:

  • Facebook AI Research (FAIR) for the development of DensePose.
  • The contributors of the Detectron2 project.
  • Gonzalo Vidal for the sample videos.
  • Sylvain Filoni for the deployment of the Gradio Space in Hugging Face.

Support

For any inquiries or support, please file an issue in our GitHub repository's issue tracker.

vid2densepose's People

Contributors

chigozienri avatar igorriti avatar nickanastasoff avatar tadeodonegana avatar

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vid2densepose's Issues

mp4 can't output correctly

i can run the main.py without any error information output, and the output.mp4 exists. But it seems that the mp4 is damaged. how to solve it?

Are there different "qualities" of densepose we can select from?

I tried to run Vid2DensePose via Huggingface on one of the original demo videos by MagicAnimate(see tweet below, left one)
https://twitter.com/julesterpak/status/1731452110686892332

But the resulting video was significantly worse than what MagicAnimate provided. see vid below.
https://github.com/Flode-Labs/vid2densepose/assets/36214945/f5aea417-aeca-4e48-b630-55b939336e4c

Are there additional configurations we can do to improve the output?

[ Feature Suggestion ] Adding tqdm progress bar for more accurate completion time

Adding a progress bar that is more accurate and informative than the gradio one.

from tqdm import tqdm  # Import tqdm


# Process each frame with tqdm
total_frames = int(cap.get(cv2.CAP_PROP_FRAME_COUNT))
for _ in tqdm(range(total_frames), desc="Processing Frames", unit="frames"):
    ret, frame = cap.read()
    if not ret:
        break

    with torch.no_grad():
        outputs = predictor(frame)['instances']

    results = DensePoseResultExtractor()(outputs)
    cmap = cv2.COLORMAP_VIRIDIS
    arr = cv2.applyColorMap(np.zeros((height, width), dtype=np.uint8), cmap)
    out_frame = Visualizer(alpha=1, cmap=cmap).visualize(arr, results)        
    out.write(out_frame)

ProgressBar
``

Inconsistency in DensePose Visualisation Across Consecutive Frames

Dear Vid2DensePose Maintainers,

I hope this message finds you well. I am reaching out to report an issue I've encountered while utilising the Vid2DensePose tool for a project aimed at enhancing animation sequences through detailed human pose estimation.

Issue Description:
Upon generating the "Part Index" visualisations for a sequence of video frames, I observed an inconsistency in the visual output across consecutive frames. Despite the input video depicting minimal movement between frames, the DensePose visualisation appears to fluctuate, leading to a jittery and discontinuous representation of the pose data.

This inconsistency poses a challenge in achieving the desired temporal coherence for human image animation, particularly when integrating with MagicAnimate. The expected outcome is a smooth transition of pose visualisations that accurately reflect the movement within the video.

Steps to Reproduce:

  1. Follow the installation and usage guide as per the repository's README.md.
  2. Run the main.py script on a video with subtle movements.
  3. Observe the output video for any discrepancies in the DensePose visualisation across frames.

Potential Impact:
The issue has the potential to affect users who rely on the tool for high-fidelity animation projects, where precision and consistency in human pose estimation are paramount.

Request:
I kindly request your assistance in addressing this matter. Any insights into potential causes or suggestions for mitigating this inconsistency would be greatly appreciated. Additionally, if there are any recommended practices or parameters that could enhance the stability of the visual output, I would be eager to learn and implement them.

Acknowledgments:
I would like to extend my gratitude for your efforts in developing such a valuable tool for the community. Your work significantly contributes to the advancement of human pose estimation applications.

Thank you for your time and support. I look forward to your response and any guidance you can provide.

Best regards,
yihong1120

Some conflict and error during generations

微信图片_20231205232900
微信图片_20231205232938

I got some conflict error reports when installing the repository, but I can get it to run successfully. Some errors show up in the 2nd image and fail to generate the result. Any solutions to that? Thanks!

can anyone pls help with this error?

  "C:\Program Files\Microsoft Visual Studio\2022\Community\VC\Tools\MSVC\14.38.33130\bin\HostX86\x64\cl.exe" /c /nologo /O2 /W3 /GL /DNDEBUG /MD -IC:\Users\llpcx\AppData\Local\Temp\pip-install-nrfen3i0\detectron2_2c20f9532f7d4f15a2d3dfb350083550\detectron2\layers\csrc -IC:\Users\llpcx\anaconda3\Lib\site-packages\torch\include -IC:\Users\llpcx\anaconda3\Lib\site-packages\torch\include\torch\csrc\api\include -IC:\Users\llpcx\anaconda3\Lib\site-packages\torch\include\TH -IC:\Users\llpcx\anaconda3\Lib\site-packages\torch\include\THC -IC:\Users\llpcx\anaconda3\include -IC:\Users\llpcx\anaconda3\Include "-IC:\Program Files\Microsoft Visual Studio\2022\Community\VC\Tools\MSVC\14.38.33130\include" "-IC:\Program Files\Microsoft Visual Studio\2022\Community\VC\Tools\MSVC\14.38.33130\ATLMFC\include" "-IC:\Program Files\Microsoft Visual Studio\2022\Community\VC\Auxiliary\VS\include" "-IC:\Program Files (x86)\Windows Kits\10\include\10.0.22621.0\ucrt" "-IC:\Program Files (x86)\Windows Kits\10\\include\10.0.22621.0\\um" "-IC:\Program Files (x86)\Windows Kits\10\\include\10.0.22621.0\\shared" "-IC:\Program Files (x86)\Windows Kits\10\\include\10.0.22621.0\\winrt" "-IC:\Program Files (x86)\Windows Kits\10\\include\10.0.22621.0\\cppwinrt" "-IC:\Program Files (x86)\Windows Kits\NETFXSDK\4.8\include\um" /EHsc /TpC:\Users\llpcx\AppData\Local\Temp\pip-install-nrfen3i0\detectron2_2c20f9532f7d4f15a2d3dfb350083550\detectron2\layers\csrc\ROIAlignRotated\ROIAlignRotated_cpu.cpp /Fobuild\temp.win-amd64-cpython-311\Release\Users\llpcx\AppData\Local\Temp\pip-install-nrfen3i0\detectron2_2c20f9532f7d4f15a2d3dfb350083550\detectron2\layers\csrc\ROIAlignRotated\ROIAlignRotated_cpu.obj /MD /wd4819 /wd4251 /wd4244 /wd4267 /wd4275 /wd4018 /wd4190 /wd4624 /wd4067 /wd4068 /EHsc -DTORCH_API_INCLUDE_EXTENSION_H -DTORCH_EXTENSION_NAME=_C -D_GLIBCXX_USE_CXX11_ABI=0 /std:c++17
  ROIAlignRotated_cpu.cpp
  C:\Users\llpcx\AppData\Local\Temp\pip-install-nrfen3i0\detectron2_2c20f9532f7d4f15a2d3dfb350083550\detectron2\layers\csrc\ROIAlignRotated\ROIAlignRotated_cpu.cpp : fatal error C1083: 无法打开编译器生成的文件: “”: Invalid argument
  error: command 'C:\\Program Files\\Microsoft Visual Studio\\2022\\Community\\VC\\Tools\\MSVC\\14.38.33130\\bin\\HostX86\\x64\\cl.exe' failed with exit code 1
  [end of output]

note: This error originates from a subprocess, and is likely not a problem with pip.
ERROR: Failed building wheel for detectron2
Running setup.py clean for detectron2
Successfully built detectron2-densepose
Failed to build detectron2
ERROR: Could not build wheels for detectron2, which is required to install pyproject.toml-based projects

DensePose fails to install on Windows 11. The filename or extension is too long

Any help please

Command
(venv) C:\sd\vid2densepose>python -m pip install git+https://github.com/facebookresearch/detectron2.git#subdirectory=projects/DensePose

Collecting git+https://github.com/facebookresearch/detectron2.git#subdirectory=projects/DensePose
  Cloning https://github.com/facebookresearch/detectron2.git to c:\users\nitin\appdata\local\temp\pip-req-build-575a5iew
  Running command git clone --filter=blob:none --quiet https://github.com/facebookresearch/detectron2.git 'C:\Users\nitin\AppData\Local\Temp\pip-req-build-575a5iew'
  Resolved https://github.com/facebookresearch/detectron2.git to commit cc9266c2396d5545315e3601027ba4bc28e8c95b
  Preparing metadata (setup.py) ... done
Collecting detectron2@ git+https://github.com/facebookresearch/detectron2.git
  Cloning https://github.com/facebookresearch/detectron2.git to c:\users\nitin\appdata\local\temp\pip-install-b_p55a3b\detectron2_ac8506ef842345c293ac81dc16e32bdd
  Running command git clone --filter=blob:none --quiet https://github.com/facebookresearch/detectron2.git 'C:\Users\nitin\AppData\Local\Temp\pip-install-b_p55a3b\detectron2_ac8506ef842345c293ac81dc16e32bdd'
  Resolved https://github.com/facebookresearch/detectron2.git to commit cc9266c2396d5545315e3601027ba4bc28e8c95b
  Preparing metadata (setup.py) ... done
Requirement already satisfied: av>=8.0.3 in c:\sd\vid2densepose\venv\lib\site-packages (from detectron2-densepose==0.6) (11.0.0)
Requirement already satisfied: opencv-python-headless>=4.5.3.56 in c:\sd\vid2densepose\venv\lib\site-packages (from detectron2-densepose==0.6) (4.9.0.80)
Requirement already satisfied: scipy>=1.5.4 in c:\sd\vid2densepose\venv\lib\site-packages (from detectron2-densepose==0.6) (1.12.0)
Requirement already satisfied: numpy>=1.19.3 in c:\sd\vid2densepose\venv\lib\site-packages (from opencv-python-headless>=4.5.3.56->detectron2-densepose==0.6) (1.26.4)
Requirement already satisfied: Pillow>=7.1 in c:\sd\vid2densepose\venv\lib\site-packages (from detectron2@ git+https://github.com/facebookresearch/detectron2.git->detectron2-densepose==0.6) (10.2.0)
Requirement already satisfied: matplotlib in c:\sd\vid2densepose\venv\lib\site-packages (from detectron2@ git+https://github.com/facebookresearch/detectron2.git->detectron2-densepose==0.6) (3.8.3)
Requirement already satisfied: pycocotools>=2.0.2 in c:\sd\vid2densepose\venv\lib\site-packages (from detectron2@ git+https://github.com/facebookresearch/detectron2.git->detectron2-densepose==0.6) (2.0.7)
Requirement already satisfied: termcolor>=1.1 in c:\sd\vid2densepose\venv\lib\site-packages (from detectron2@ git+https://github.com/facebookresearch/detectron2.git->detectron2-densepose==0.6) (2.4.0)
Requirement already satisfied: yacs>=0.1.8 in c:\sd\vid2densepose\venv\lib\site-packages (from detectron2@ git+https://github.com/facebookresearch/detectron2.git->detectron2-densepose==0.6) (0.1.8)
Requirement already satisfied: tabulate in c:\sd\vid2densepose\venv\lib\site-packages (from detectron2@ git+https://github.com/facebookresearch/detectron2.git->detectron2-densepose==0.6) (0.9.0)
Requirement already satisfied: cloudpickle in c:\sd\vid2densepose\venv\lib\site-packages (from detectron2@ git+https://github.com/facebookresearch/detectron2.git->detectron2-densepose==0.6) (3.0.0)
Requirement already satisfied: tqdm>4.29.0 in c:\sd\vid2densepose\venv\lib\site-packages (from detectron2@ git+https://github.com/facebookresearch/detectron2.git->detectron2-densepose==0.6) (4.66.2)
Requirement already satisfied: tensorboard in c:\sd\vid2densepose\venv\lib\site-packages (from detectron2@ git+https://github.com/facebookresearch/detectron2.git->detectron2-densepose==0.6) (2.16.2)
Requirement already satisfied: fvcore<0.1.6,>=0.1.5 in c:\sd\vid2densepose\venv\lib\site-packages (from detectron2@ git+https://github.com/facebookresearch/detectron2.git->detectron2-densepose==0.6) (0.1.5.post20221221)
Requirement already satisfied: iopath<0.1.10,>=0.1.7 in c:\sd\vid2densepose\venv\lib\site-packages (from detectron2@ git+https://github.com/facebookresearch/detectron2.git->detectron2-densepose==0.6) (0.1.9)
Requirement already satisfied: omegaconf<2.4,>=2.1 in c:\sd\vid2densepose\venv\lib\site-packages (from detectron2@ git+https://github.com/facebookresearch/detectron2.git->detectron2-densepose==0.6) (2.3.0)
Requirement already satisfied: hydra-core>=1.1 in c:\sd\vid2densepose\venv\lib\site-packages (from detectron2@ git+https://github.com/facebookresearch/detectron2.git->detectron2-densepose==0.6) (1.3.2)
Requirement already satisfied: black in c:\sd\vid2densepose\venv\lib\site-packages (from detectron2@ git+https://github.com/facebookresearch/detectron2.git->detectron2-densepose==0.6) (24.2.0)
Requirement already satisfied: packaging in c:\sd\vid2densepose\venv\lib\site-packages (from detectron2@ git+https://github.com/facebookresearch/detectron2.git->detectron2-densepose==0.6) (24.0)
Requirement already satisfied: pyyaml>=5.1 in c:\sd\vid2densepose\venv\lib\site-packages (from fvcore<0.1.6,>=0.1.5->detectron2@ git+https://github.com/facebookresearch/detectron2.git->detectron2-densepose==0.6) (6.0.1)
Requirement already satisfied: antlr4-python3-runtime==4.9.* in c:\sd\vid2densepose\venv\lib\site-packages (from hydra-core>=1.1->detectron2@ git+https://github.com/facebookresearch/detectron2.git->detectron2-densepose==0.6) (4.9.3)
Requirement already satisfied: portalocker in c:\sd\vid2densepose\venv\lib\site-packages (from iopath<0.1.10,>=0.1.7->detectron2@ git+https://github.com/facebookresearch/detectron2.git->detectron2-densepose==0.6) (2.8.2)
Requirement already satisfied: pyparsing>=2.3.1 in c:\sd\vid2densepose\venv\lib\site-packages (from matplotlib->detectron2@ git+https://github.com/facebookresearch/detectron2.git->detectron2-densepose==0.6) (3.1.2)
Requirement already satisfied: cycler>=0.10 in c:\sd\vid2densepose\venv\lib\site-packages (from matplotlib->detectron2@ git+https://github.com/facebookresearch/detectron2.git->detectron2-densepose==0.6) (0.12.1)
Requirement already satisfied: python-dateutil>=2.7 in c:\sd\vid2densepose\venv\lib\site-packages (from matplotlib->detectron2@ git+https://github.com/facebookresearch/detectron2.git->detectron2-densepose==0.6) (2.9.0.post0)
Requirement already satisfied: kiwisolver>=1.3.1 in c:\sd\vid2densepose\venv\lib\site-packages (from matplotlib->detectron2@ git+https://github.com/facebookresearch/detectron2.git->detectron2-densepose==0.6) (1.4.5)
Requirement already satisfied: fonttools>=4.22.0 in c:\sd\vid2densepose\venv\lib\site-packages (from matplotlib->detectron2@ git+https://github.com/facebookresearch/detectron2.git->detectron2-densepose==0.6) (4.49.0)
Requirement already satisfied: contourpy>=1.0.1 in c:\sd\vid2densepose\venv\lib\site-packages (from matplotlib->detectron2@ git+https://github.com/facebookresearch/detectron2.git->detectron2-densepose==0.6) (1.2.0)
Requirement already satisfied: colorama in c:\sd\vid2densepose\venv\lib\site-packages (from tqdm>4.29.0->detectron2@ git+https://github.com/facebookresearch/detectron2.git->detectron2-densepose==0.6) (0.4.6)
Requirement already satisfied: click>=8.0.0 in c:\sd\vid2densepose\venv\lib\site-packages (from black->detectron2@ git+https://github.com/facebookresearch/detectron2.git->detectron2-densepose==0.6) (8.1.7)
Requirement already satisfied: typing-extensions>=4.0.1 in c:\sd\vid2densepose\venv\lib\site-packages (from black->detectron2@ git+https://github.com/facebookresearch/detectron2.git->detectron2-densepose==0.6) (4.10.0)
Requirement already satisfied: tomli>=1.1.0 in c:\sd\vid2densepose\venv\lib\site-packages (from black->detectron2@ git+https://github.com/facebookresearch/detectron2.git->detectron2-densepose==0.6) (2.0.1)
Requirement already satisfied: platformdirs>=2 in c:\sd\vid2densepose\venv\lib\site-packages (from black->detectron2@ git+https://github.com/facebookresearch/detectron2.git->detectron2-densepose==0.6) (4.2.0)
Requirement already satisfied: pathspec>=0.9.0 in c:\sd\vid2densepose\venv\lib\site-packages (from black->detectron2@ git+https://github.com/facebookresearch/detectron2.git->detectron2-densepose==0.6) (0.12.1)
Requirement already satisfied: mypy-extensions>=0.4.3 in c:\sd\vid2densepose\venv\lib\site-packages (from black->detectron2@ git+https://github.com/facebookresearch/detectron2.git->detectron2-densepose==0.6) (1.0.0)
Requirement already satisfied: absl-py>=0.4 in c:\sd\vid2densepose\venv\lib\site-packages (from tensorboard->detectron2@ git+https://github.com/facebookresearch/detectron2.git->detectron2-densepose==0.6) (2.1.0)
Requirement already satisfied: protobuf!=4.24.0,>=3.19.6 in c:\sd\vid2densepose\venv\lib\site-packages (from tensorboard->detectron2@ git+https://github.com/facebookresearch/detectron2.git->detectron2-densepose==0.6) (4.25.3)
Requirement already satisfied: markdown>=2.6.8 in c:\sd\vid2densepose\venv\lib\site-packages (from tensorboard->detectron2@ git+https://github.com/facebookresearch/detectron2.git->detectron2-densepose==0.6) (3.5.2)
Requirement already satisfied: six>1.9 in c:\sd\vid2densepose\venv\lib\site-packages (from tensorboard->detectron2@ git+https://github.com/facebookresearch/detectron2.git->detectron2-densepose==0.6) (1.16.0)
Requirement already satisfied: setuptools>=41.0.0 in c:\sd\vid2densepose\venv\lib\site-packages (from tensorboard->detectron2@ git+https://github.com/facebookresearch/detectron2.git->detectron2-densepose==0.6) (63.2.0)
Requirement already satisfied: werkzeug>=1.0.1 in c:\sd\vid2densepose\venv\lib\site-packages (from tensorboard->detectron2@ git+https://github.com/facebookresearch/detectron2.git->detectron2-densepose==0.6) (3.0.1)
Requirement already satisfied: tensorboard-data-server<0.8.0,>=0.7.0 in c:\sd\vid2densepose\venv\lib\site-packages (from tensorboard->detectron2@ git+https://github.com/facebookresearch/detectron2.git->detectron2-densepose==0.6) (0.7.2)
Requirement already satisfied: grpcio>=1.48.2 in c:\sd\vid2densepose\venv\lib\site-packages (from tensorboard->detectron2@ git+https://github.com/facebookresearch/detectron2.git->detectron2-densepose==0.6) (1.62.1)
Requirement already satisfied: MarkupSafe>=2.1.1 in c:\sd\vid2densepose\venv\lib\site-packages (from werkzeug>=1.0.1->tensorboard->detectron2@ git+https://github.com/facebookresearch/detectron2.git->detectron2-densepose==0.6) (2.1.5)
Requirement already satisfied: pywin32>=226 in c:\sd\vid2densepose\venv\lib\site-packages (from portalocker->iopath<0.1.10,>=0.1.7->detectron2@ git+https://github.com/facebookresearch/detectron2.git->detectron2-densepose==0.6) (306)
Using legacy 'setup.py install' for detectron2-densepose, since package 'wheel' is not installed.
Using legacy 'setup.py install' for detectron2, since package 'wheel' is not installed.
Installing collected packages: detectron2, detectron2-densepose
  Attempting uninstall: detectron2
    Found existing installation: detectron2 0.6
    Uninstalling detectron2-0.6:
      Successfully uninstalled detectron2-0.6
  Running setup.py install for detectron2 ... error
  error: subprocess-exited-with-error

  × Running setup.py install for detectron2 did not run successfully.
  │ exit code: 1
  ╰─> [384 lines of output]
      No CUDA runtime is found, using CUDA_HOME='C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v12.0'
      running install
      C:\sd\vid2densepose\venv\lib\site-packages\setuptools\command\install.py:34: SetuptoolsDeprecationWarning: setup.py install is deprecated. Use build and pip and other standards-based tools.
        warnings.warn(
      running build
      running build_py
      creating build
      creating build\lib.win-amd64-cpython-310
      creating build\lib.win-amd64-cpython-310\detectron2
      copying detectron2\__init__.py -> build\lib.win-amd64-cpython-310\detectron2
      creating build\lib.win-amd64-cpython-310\tools
      copying tools\analyze_model.py -> build\lib.win-amd64-cpython-310\tools
      copying tools\benchmark.py -> build\lib.win-amd64-cpython-310\tools
      copying tools\convert-torchvision-to-d2.py -> build\lib.win-amd64-cpython-310\tools
      copying tools\lazyconfig_train_net.py -> build\lib.win-amd64-cpython-310\tools
      copying tools\lightning_train_net.py -> build\lib.win-amd64-cpython-310\tools
      copying tools\plain_train_net.py -> build\lib.win-amd64-cpython-310\tools
      copying tools\train_net.py -> build\lib.win-amd64-cpython-310\tools
      copying tools\visualize_data.py -> build\lib.win-amd64-cpython-310\tools
      copying tools\visualize_json_results.py -> build\lib.win-amd64-cpython-310\tools
      copying tools\__init__.py -> build\lib.win-amd64-cpython-310\tools
      creating build\lib.win-amd64-cpython-310\detectron2\checkpoint
      copying detectron2\checkpoint\c2_model_loading.py -> build\lib.win-amd64-cpython-310\detectron2\checkpoint
      copying detectron2\checkpoint\catalog.py -> build\lib.win-amd64-cpython-310\detectron2\checkpoint
      copying detectron2\checkpoint\detection_checkpoint.py -> build\lib.win-amd64-cpython-310\detectron2\checkpoint
      copying detectron2\checkpoint\__init__.py -> build\lib.win-amd64-cpython-310\detectron2\checkpoint
      creating build\lib.win-amd64-cpython-310\detectron2\config
      copying detectron2\config\compat.py -> build\lib.win-amd64-cpython-310\detectron2\config
      copying detectron2\config\config.py -> build\lib.win-amd64-cpython-310\detectron2\config
      copying detectron2\config\defaults.py -> build\lib.win-amd64-cpython-310\detectron2\config
      copying detectron2\config\instantiate.py -> build\lib.win-amd64-cpython-310\detectron2\config
      copying detectron2\config\lazy.py -> build\lib.win-amd64-cpython-310\detectron2\config
      copying detectron2\config\__init__.py -> build\lib.win-amd64-cpython-310\detectron2\config
      creating build\lib.win-amd64-cpython-310\detectron2\data
      copying detectron2\data\benchmark.py -> build\lib.win-amd64-cpython-310\detectron2\data
      copying detectron2\data\build.py -> build\lib.win-amd64-cpython-310\detectron2\data
      copying detectron2\data\catalog.py -> build\lib.win-amd64-cpython-310\detectron2\data
      copying detectron2\data\common.py -> build\lib.win-amd64-cpython-310\detectron2\data
      copying detectron2\data\dataset_mapper.py -> build\lib.win-amd64-cpython-310\detectron2\data
      copying detectron2\data\detection_utils.py -> build\lib.win-amd64-cpython-310\detectron2\data
      copying detectron2\data\__init__.py -> build\lib.win-amd64-cpython-310\detectron2\data
      creating build\lib.win-amd64-cpython-310\detectron2\engine
      copying detectron2\engine\defaults.py -> build\lib.win-amd64-cpython-310\detectron2\engine
      copying detectron2\engine\hooks.py -> build\lib.win-amd64-cpython-310\detectron2\engine
      copying detectron2\engine\launch.py -> build\lib.win-amd64-cpython-310\detectron2\engine
      copying detectron2\engine\train_loop.py -> build\lib.win-amd64-cpython-310\detectron2\engine
      copying detectron2\engine\__init__.py -> build\lib.win-amd64-cpython-310\detectron2\engine
      creating build\lib.win-amd64-cpython-310\detectron2\evaluation
      copying detectron2\evaluation\cityscapes_evaluation.py -> build\lib.win-amd64-cpython-310\detectron2\evaluation
      copying detectron2\evaluation\coco_evaluation.py -> build\lib.win-amd64-cpython-310\detectron2\evaluation
      copying detectron2\evaluation\evaluator.py -> build\lib.win-amd64-cpython-310\detectron2\evaluation
      copying detectron2\evaluation\fast_eval_api.py -> build\lib.win-amd64-cpython-310\detectron2\evaluation
      copying detectron2\evaluation\lvis_evaluation.py -> build\lib.win-amd64-cpython-310\detectron2\evaluation
      copying detectron2\evaluation\panoptic_evaluation.py -> build\lib.win-amd64-cpython-310\detectron2\evaluation
      copying detectron2\evaluation\pascal_voc_evaluation.py -> build\lib.win-amd64-cpython-310\detectron2\evaluation
      copying detectron2\evaluation\rotated_coco_evaluation.py -> build\lib.win-amd64-cpython-310\detectron2\evaluation
      copying detectron2\evaluation\sem_seg_evaluation.py -> build\lib.win-amd64-cpython-310\detectron2\evaluation
      copying detectron2\evaluation\testing.py -> build\lib.win-amd64-cpython-310\detectron2\evaluation
      copying detectron2\evaluation\__init__.py -> build\lib.win-amd64-cpython-310\detectron2\evaluation
      creating build\lib.win-amd64-cpython-310\detectron2\export
      copying detectron2\export\api.py -> build\lib.win-amd64-cpython-310\detectron2\export
      copying detectron2\export\c10.py -> build\lib.win-amd64-cpython-310\detectron2\export
      copying detectron2\export\caffe2_export.py -> build\lib.win-amd64-cpython-310\detectron2\export
      copying detectron2\export\caffe2_inference.py -> build\lib.win-amd64-cpython-310\detectron2\export
      copying detectron2\export\caffe2_modeling.py -> build\lib.win-amd64-cpython-310\detectron2\export
      copying detectron2\export\caffe2_patch.py -> build\lib.win-amd64-cpython-310\detectron2\export
      copying detectron2\export\flatten.py -> build\lib.win-amd64-cpython-310\detectron2\export
      copying detectron2\export\shared.py -> build\lib.win-amd64-cpython-310\detectron2\export
      copying detectron2\export\torchscript.py -> build\lib.win-amd64-cpython-310\detectron2\export
      copying detectron2\export\torchscript_patch.py -> build\lib.win-amd64-cpython-310\detectron2\export
      copying detectron2\export\__init__.py -> build\lib.win-amd64-cpython-310\detectron2\export
      creating build\lib.win-amd64-cpython-310\detectron2\layers
      copying detectron2\layers\aspp.py -> build\lib.win-amd64-cpython-310\detectron2\layers
      copying detectron2\layers\batch_norm.py -> build\lib.win-amd64-cpython-310\detectron2\layers
      copying detectron2\layers\blocks.py -> build\lib.win-amd64-cpython-310\detectron2\layers
      copying detectron2\layers\deform_conv.py -> build\lib.win-amd64-cpython-310\detectron2\layers
      copying detectron2\layers\losses.py -> build\lib.win-amd64-cpython-310\detectron2\layers
      copying detectron2\layers\mask_ops.py -> build\lib.win-amd64-cpython-310\detectron2\layers
      copying detectron2\layers\nms.py -> build\lib.win-amd64-cpython-310\detectron2\layers
      copying detectron2\layers\roi_align.py -> build\lib.win-amd64-cpython-310\detectron2\layers
      copying detectron2\layers\roi_align_rotated.py -> build\lib.win-amd64-cpython-310\detectron2\layers
      copying detectron2\layers\rotated_boxes.py -> build\lib.win-amd64-cpython-310\detectron2\layers
      copying detectron2\layers\shape_spec.py -> build\lib.win-amd64-cpython-310\detectron2\layers
      copying detectron2\layers\wrappers.py -> build\lib.win-amd64-cpython-310\detectron2\layers
      copying detectron2\layers\__init__.py -> build\lib.win-amd64-cpython-310\detectron2\layers
      creating build\lib.win-amd64-cpython-310\detectron2\modeling
      copying detectron2\modeling\anchor_generator.py -> build\lib.win-amd64-cpython-310\detectron2\modeling
      copying detectron2\modeling\box_regression.py -> build\lib.win-amd64-cpython-310\detectron2\modeling
      copying detectron2\modeling\matcher.py -> build\lib.win-amd64-cpython-310\detectron2\modeling
      copying detectron2\modeling\mmdet_wrapper.py -> build\lib.win-amd64-cpython-310\detectron2\modeling
      copying detectron2\modeling\poolers.py -> build\lib.win-amd64-cpython-310\detectron2\modeling
      copying detectron2\modeling\postprocessing.py -> build\lib.win-amd64-cpython-310\detectron2\modeling
      copying detectron2\modeling\sampling.py -> build\lib.win-amd64-cpython-310\detectron2\modeling
      copying detectron2\modeling\test_time_augmentation.py -> build\lib.win-amd64-cpython-310\detectron2\modeling
      copying detectron2\modeling\__init__.py -> build\lib.win-amd64-cpython-310\detectron2\modeling
      creating build\lib.win-amd64-cpython-310\detectron2\model_zoo
      copying detectron2\model_zoo\model_zoo.py -> build\lib.win-amd64-cpython-310\detectron2\model_zoo
      copying detectron2\model_zoo\__init__.py -> build\lib.win-amd64-cpython-310\detectron2\model_zoo
      creating build\lib.win-amd64-cpython-310\detectron2\projects
      copying detectron2\projects\__init__.py -> build\lib.win-amd64-cpython-310\detectron2\projects
      creating build\lib.win-amd64-cpython-310\detectron2\solver
      copying detectron2\solver\build.py -> build\lib.win-amd64-cpython-310\detectron2\solver
      copying detectron2\solver\lr_scheduler.py -> build\lib.win-amd64-cpython-310\detectron2\solver
      copying detectron2\solver\__init__.py -> build\lib.win-amd64-cpython-310\detectron2\solver
      creating build\lib.win-amd64-cpython-310\detectron2\structures
      copying detectron2\structures\boxes.py -> build\lib.win-amd64-cpython-310\detectron2\structures
      copying detectron2\structures\image_list.py -> build\lib.win-amd64-cpython-310\detectron2\structures
      copying detectron2\structures\instances.py -> build\lib.win-amd64-cpython-310\detectron2\structures
      copying detectron2\structures\keypoints.py -> build\lib.win-amd64-cpython-310\detectron2\structures
      copying detectron2\structures\masks.py -> build\lib.win-amd64-cpython-310\detectron2\structures
      copying detectron2\structures\rotated_boxes.py -> build\lib.win-amd64-cpython-310\detectron2\structures
      copying detectron2\structures\__init__.py -> build\lib.win-amd64-cpython-310\detectron2\structures
      creating build\lib.win-amd64-cpython-310\detectron2\tracking
      copying detectron2\tracking\base_tracker.py -> build\lib.win-amd64-cpython-310\detectron2\tracking
      copying detectron2\tracking\bbox_iou_tracker.py -> build\lib.win-amd64-cpython-310\detectron2\tracking
      copying detectron2\tracking\hungarian_tracker.py -> build\lib.win-amd64-cpython-310\detectron2\tracking
      copying detectron2\tracking\iou_weighted_hungarian_bbox_iou_tracker.py -> build\lib.win-amd64-cpython-310\detectron2\tracking
      copying detectron2\tracking\utils.py -> build\lib.win-amd64-cpython-310\detectron2\tracking
      copying detectron2\tracking\vanilla_hungarian_bbox_iou_tracker.py -> build\lib.win-amd64-cpython-310\detectron2\tracking
      copying detectron2\tracking\__init__.py -> build\lib.win-amd64-cpython-310\detectron2\tracking
      creating build\lib.win-amd64-cpython-310\detectron2\utils
      copying detectron2\utils\analysis.py -> build\lib.win-amd64-cpython-310\detectron2\utils
      copying detectron2\utils\collect_env.py -> build\lib.win-amd64-cpython-310\detectron2\utils
      copying detectron2\utils\colormap.py -> build\lib.win-amd64-cpython-310\detectron2\utils
      copying detectron2\utils\comm.py -> build\lib.win-amd64-cpython-310\detectron2\utils
      copying detectron2\utils\develop.py -> build\lib.win-amd64-cpython-310\detectron2\utils
      copying detectron2\utils\env.py -> build\lib.win-amd64-cpython-310\detectron2\utils
      copying detectron2\utils\events.py -> build\lib.win-amd64-cpython-310\detectron2\utils
      copying detectron2\utils\file_io.py -> build\lib.win-amd64-cpython-310\detectron2\utils
      copying detectron2\utils\logger.py -> build\lib.win-amd64-cpython-310\detectron2\utils
      copying detectron2\utils\memory.py -> build\lib.win-amd64-cpython-310\detectron2\utils
      copying detectron2\utils\registry.py -> build\lib.win-amd64-cpython-310\detectron2\utils
      copying detectron2\utils\serialize.py -> build\lib.win-amd64-cpython-310\detectron2\utils
      copying detectron2\utils\testing.py -> build\lib.win-amd64-cpython-310\detectron2\utils
      copying detectron2\utils\tracing.py -> build\lib.win-amd64-cpython-310\detectron2\utils
      copying detectron2\utils\video_visualizer.py -> build\lib.win-amd64-cpython-310\detectron2\utils
      copying detectron2\utils\visualizer.py -> build\lib.win-amd64-cpython-310\detectron2\utils
      copying detectron2\utils\__init__.py -> build\lib.win-amd64-cpython-310\detectron2\utils
      creating build\lib.win-amd64-cpython-310\detectron2\data\datasets
      copying detectron2\data\datasets\builtin.py -> build\lib.win-amd64-cpython-310\detectron2\data\datasets
      copying detectron2\data\datasets\builtin_meta.py -> build\lib.win-amd64-cpython-310\detectron2\data\datasets
      copying detectron2\data\datasets\cityscapes.py -> build\lib.win-amd64-cpython-310\detectron2\data\datasets
      copying detectron2\data\datasets\cityscapes_panoptic.py -> build\lib.win-amd64-cpython-310\detectron2\data\datasets
      copying detectron2\data\datasets\coco.py -> build\lib.win-amd64-cpython-310\detectron2\data\datasets
      copying detectron2\data\datasets\coco_panoptic.py -> build\lib.win-amd64-cpython-310\detectron2\data\datasets
      copying detectron2\data\datasets\lvis.py -> build\lib.win-amd64-cpython-310\detectron2\data\datasets
      copying detectron2\data\datasets\lvis_v0_5_categories.py -> build\lib.win-amd64-cpython-310\detectron2\data\datasets
      copying detectron2\data\datasets\lvis_v1_categories.py -> build\lib.win-amd64-cpython-310\detectron2\data\datasets
      copying detectron2\data\datasets\lvis_v1_category_image_count.py -> build\lib.win-amd64-cpython-310\detectron2\data\datasets
      copying detectron2\data\datasets\pascal_voc.py -> build\lib.win-amd64-cpython-310\detectron2\data\datasets
      copying detectron2\data\datasets\register_coco.py -> build\lib.win-amd64-cpython-310\detectron2\data\datasets
      copying detectron2\data\datasets\__init__.py -> build\lib.win-amd64-cpython-310\detectron2\data\datasets
      creating build\lib.win-amd64-cpython-310\detectron2\data\samplers
      copying detectron2\data\samplers\distributed_sampler.py -> build\lib.win-amd64-cpython-310\detectron2\data\samplers
      copying detectron2\data\samplers\grouped_batch_sampler.py -> build\lib.win-amd64-cpython-310\detectron2\data\samplers
      copying detectron2\data\samplers\__init__.py -> build\lib.win-amd64-cpython-310\detectron2\data\samplers
      creating build\lib.win-amd64-cpython-310\detectron2\data\transforms
      copying detectron2\data\transforms\augmentation.py -> build\lib.win-amd64-cpython-310\detectron2\data\transforms
      copying detectron2\data\transforms\augmentation_impl.py -> build\lib.win-amd64-cpython-310\detectron2\data\transforms
      copying detectron2\data\transforms\transform.py -> build\lib.win-amd64-cpython-310\detectron2\data\transforms
      copying detectron2\data\transforms\__init__.py -> build\lib.win-amd64-cpython-310\detectron2\data\transforms
      creating build\lib.win-amd64-cpython-310\detectron2\modeling\backbone
      copying detectron2\modeling\backbone\backbone.py -> build\lib.win-amd64-cpython-310\detectron2\modeling\backbone
      copying detectron2\modeling\backbone\build.py -> build\lib.win-amd64-cpython-310\detectron2\modeling\backbone
      copying detectron2\modeling\backbone\fpn.py -> build\lib.win-amd64-cpython-310\detectron2\modeling\backbone
      copying detectron2\modeling\backbone\mvit.py -> build\lib.win-amd64-cpython-310\detectron2\modeling\backbone
      copying detectron2\modeling\backbone\regnet.py -> build\lib.win-amd64-cpython-310\detectron2\modeling\backbone
      copying detectron2\modeling\backbone\resnet.py -> build\lib.win-amd64-cpython-310\detectron2\modeling\backbone
      copying detectron2\modeling\backbone\swin.py -> build\lib.win-amd64-cpython-310\detectron2\modeling\backbone
      copying detectron2\modeling\backbone\utils.py -> build\lib.win-amd64-cpython-310\detectron2\modeling\backbone
      copying detectron2\modeling\backbone\vit.py -> build\lib.win-amd64-cpython-310\detectron2\modeling\backbone
      copying detectron2\modeling\backbone\__init__.py -> build\lib.win-amd64-cpython-310\detectron2\modeling\backbone
      creating build\lib.win-amd64-cpython-310\detectron2\modeling\meta_arch
      copying detectron2\modeling\meta_arch\build.py -> build\lib.win-amd64-cpython-310\detectron2\modeling\meta_arch
      copying detectron2\modeling\meta_arch\dense_detector.py -> build\lib.win-amd64-cpython-310\detectron2\modeling\meta_arch
      copying detectron2\modeling\meta_arch\fcos.py -> build\lib.win-amd64-cpython-310\detectron2\modeling\meta_arch
      copying detectron2\modeling\meta_arch\panoptic_fpn.py -> build\lib.win-amd64-cpython-310\detectron2\modeling\meta_arch
      copying detectron2\modeling\meta_arch\rcnn.py -> build\lib.win-amd64-cpython-310\detectron2\modeling\meta_arch
      copying detectron2\modeling\meta_arch\retinanet.py -> build\lib.win-amd64-cpython-310\detectron2\modeling\meta_arch
      copying detectron2\modeling\meta_arch\semantic_seg.py -> build\lib.win-amd64-cpython-310\detectron2\modeling\meta_arch
      copying detectron2\modeling\meta_arch\__init__.py -> build\lib.win-amd64-cpython-310\detectron2\modeling\meta_arch
      creating build\lib.win-amd64-cpython-310\detectron2\modeling\proposal_generator
      copying detectron2\modeling\proposal_generator\build.py -> build\lib.win-amd64-cpython-310\detectron2\modeling\proposal_generator
      copying detectron2\modeling\proposal_generator\proposal_utils.py -> build\lib.win-amd64-cpython-310\detectron2\modeling\proposal_generator
      copying detectron2\modeling\proposal_generator\rpn.py -> build\lib.win-amd64-cpython-310\detectron2\modeling\proposal_generator
      copying detectron2\modeling\proposal_generator\rrpn.py -> build\lib.win-amd64-cpython-310\detectron2\modeling\proposal_generator
      copying detectron2\modeling\proposal_generator\__init__.py -> build\lib.win-amd64-cpython-310\detectron2\modeling\proposal_generator
      creating build\lib.win-amd64-cpython-310\detectron2\modeling\roi_heads
      copying detectron2\modeling\roi_heads\box_head.py -> build\lib.win-amd64-cpython-310\detectron2\modeling\roi_heads
      copying detectron2\modeling\roi_heads\cascade_rcnn.py -> build\lib.win-amd64-cpython-310\detectron2\modeling\roi_heads
      copying detectron2\modeling\roi_heads\fast_rcnn.py -> build\lib.win-amd64-cpython-310\detectron2\modeling\roi_heads
      copying detectron2\modeling\roi_heads\keypoint_head.py -> build\lib.win-amd64-cpython-310\detectron2\modeling\roi_heads
      copying detectron2\modeling\roi_heads\mask_head.py -> build\lib.win-amd64-cpython-310\detectron2\modeling\roi_heads
      copying detectron2\modeling\roi_heads\roi_heads.py -> build\lib.win-amd64-cpython-310\detectron2\modeling\roi_heads
      copying detectron2\modeling\roi_heads\rotated_fast_rcnn.py -> build\lib.win-amd64-cpython-310\detectron2\modeling\roi_heads
      copying detectron2\modeling\roi_heads\__init__.py -> build\lib.win-amd64-cpython-310\detectron2\modeling\roi_heads
      creating build\lib.win-amd64-cpython-310\detectron2\projects\point_rend
      copying projects\PointRend\point_rend\color_augmentation.py -> build\lib.win-amd64-cpython-310\detectron2\projects\point_rend
      copying projects\PointRend\point_rend\config.py -> build\lib.win-amd64-cpython-310\detectron2\projects\point_rend
      copying projects\PointRend\point_rend\mask_head.py -> build\lib.win-amd64-cpython-310\detectron2\projects\point_rend
      copying projects\PointRend\point_rend\point_features.py -> build\lib.win-amd64-cpython-310\detectron2\projects\point_rend
      copying projects\PointRend\point_rend\point_head.py -> build\lib.win-amd64-cpython-310\detectron2\projects\point_rend
      copying projects\PointRend\point_rend\roi_heads.py -> build\lib.win-amd64-cpython-310\detectron2\projects\point_rend
      copying projects\PointRend\point_rend\semantic_seg.py -> build\lib.win-amd64-cpython-310\detectron2\projects\point_rend
      copying projects\PointRend\point_rend\__init__.py -> build\lib.win-amd64-cpython-310\detectron2\projects\point_rend
      creating build\lib.win-amd64-cpython-310\detectron2\projects\deeplab
      copying projects\DeepLab\deeplab\build_solver.py -> build\lib.win-amd64-cpython-310\detectron2\projects\deeplab
      copying projects\DeepLab\deeplab\config.py -> build\lib.win-amd64-cpython-310\detectron2\projects\deeplab
      copying projects\DeepLab\deeplab\loss.py -> build\lib.win-amd64-cpython-310\detectron2\projects\deeplab
      copying projects\DeepLab\deeplab\lr_scheduler.py -> build\lib.win-amd64-cpython-310\detectron2\projects\deeplab
      copying projects\DeepLab\deeplab\resnet.py -> build\lib.win-amd64-cpython-310\detectron2\projects\deeplab
      copying projects\DeepLab\deeplab\semantic_seg.py -> build\lib.win-amd64-cpython-310\detectron2\projects\deeplab
      copying projects\DeepLab\deeplab\__init__.py -> build\lib.win-amd64-cpython-310\detectron2\projects\deeplab
      creating build\lib.win-amd64-cpython-310\detectron2\projects\panoptic_deeplab
      copying projects\Panoptic-DeepLab\panoptic_deeplab\config.py -> build\lib.win-amd64-cpython-310\detectron2\projects\panoptic_deeplab
      copying projects\Panoptic-DeepLab\panoptic_deeplab\dataset_mapper.py -> build\lib.win-amd64-cpython-310\detectron2\projects\panoptic_deeplab
      copying projects\Panoptic-DeepLab\panoptic_deeplab\panoptic_seg.py -> build\lib.win-amd64-cpython-310\detectron2\projects\panoptic_deeplab
      copying projects\Panoptic-DeepLab\panoptic_deeplab\post_processing.py -> build\lib.win-amd64-cpython-310\detectron2\projects\panoptic_deeplab
      copying projects\Panoptic-DeepLab\panoptic_deeplab\target_generator.py -> build\lib.win-amd64-cpython-310\detectron2\projects\panoptic_deeplab
      copying projects\Panoptic-DeepLab\panoptic_deeplab\__init__.py -> build\lib.win-amd64-cpython-310\detectron2\projects\panoptic_deeplab
      creating build\lib.win-amd64-cpython-310\detectron2\model_zoo\configs
      copying detectron2\model_zoo\configs\Base-RCNN-C4.yaml -> build\lib.win-amd64-cpython-310\detectron2\model_zoo\configs
      copying detectron2\model_zoo\configs\Base-RCNN-DilatedC5.yaml -> build\lib.win-amd64-cpython-310\detectron2\model_zoo\configs
      copying detectron2\model_zoo\configs\Base-RCNN-FPN.yaml -> build\lib.win-amd64-cpython-310\detectron2\model_zoo\configs
      copying detectron2\model_zoo\configs\Base-RetinaNet.yaml -> build\lib.win-amd64-cpython-310\detectron2\model_zoo\configs
      creating build\lib.win-amd64-cpython-310\detectron2\model_zoo\configs\Cityscapes
      copying detectron2\model_zoo\configs\Cityscapes\mask_rcnn_R_50_FPN.yaml -> build\lib.win-amd64-cpython-310\detectron2\model_zoo\configs\Cityscapes
      creating build\lib.win-amd64-cpython-310\detectron2\model_zoo\configs\COCO-Detection
      copying detectron2\model_zoo\configs\COCO-Detection\faster_rcnn_R_101_C4_3x.yaml -> build\lib.win-amd64-cpython-310\detectron2\model_zoo\configs\COCO-Detection
      copying detectron2\model_zoo\configs\COCO-Detection\faster_rcnn_R_101_DC5_3x.yaml -> build\lib.win-amd64-cpython-310\detectron2\model_zoo\configs\COCO-Detection
      copying detectron2\model_zoo\configs\COCO-Detection\faster_rcnn_R_101_FPN_3x.yaml -> build\lib.win-amd64-cpython-310\detectron2\model_zoo\configs\COCO-Detection
      copying detectron2\model_zoo\configs\COCO-Detection\faster_rcnn_R_50_C4_1x.yaml -> build\lib.win-amd64-cpython-310\detectron2\model_zoo\configs\COCO-Detection
      copying detectron2\model_zoo\configs\COCO-Detection\faster_rcnn_R_50_C4_3x.yaml -> build\lib.win-amd64-cpython-310\detectron2\model_zoo\configs\COCO-Detection
      copying detectron2\model_zoo\configs\COCO-Detection\faster_rcnn_R_50_DC5_1x.yaml -> build\lib.win-amd64-cpython-310\detectron2\model_zoo\configs\COCO-Detection
      copying detectron2\model_zoo\configs\COCO-Detection\faster_rcnn_R_50_DC5_3x.yaml -> build\lib.win-amd64-cpython-310\detectron2\model_zoo\configs\COCO-Detection
      copying detectron2\model_zoo\configs\COCO-Detection\faster_rcnn_R_50_FPN_1x.yaml -> build\lib.win-amd64-cpython-310\detectron2\model_zoo\configs\COCO-Detection
      copying detectron2\model_zoo\configs\COCO-Detection\faster_rcnn_R_50_FPN_3x.yaml -> build\lib.win-amd64-cpython-310\detectron2\model_zoo\configs\COCO-Detection
      copying detectron2\model_zoo\configs\COCO-Detection\faster_rcnn_X_101_32x8d_FPN_3x.yaml -> build\lib.win-amd64-cpython-310\detectron2\model_zoo\configs\COCO-Detection
      copying detectron2\model_zoo\configs\COCO-Detection\fast_rcnn_R_50_FPN_1x.yaml -> build\lib.win-amd64-cpython-310\detectron2\model_zoo\configs\COCO-Detection
      copying detectron2\model_zoo\configs\COCO-Detection\retinanet_R_101_FPN_3x.yaml -> build\lib.win-amd64-cpython-310\detectron2\model_zoo\configs\COCO-Detection
      copying detectron2\model_zoo\configs\COCO-Detection\retinanet_R_50_FPN_1x.yaml -> build\lib.win-amd64-cpython-310\detectron2\model_zoo\configs\COCO-Detection
      copying detectron2\model_zoo\configs\COCO-Detection\retinanet_R_50_FPN_3x.yaml -> build\lib.win-amd64-cpython-310\detectron2\model_zoo\configs\COCO-Detection
      copying detectron2\model_zoo\configs\COCO-Detection\rpn_R_50_C4_1x.yaml -> build\lib.win-amd64-cpython-310\detectron2\model_zoo\configs\COCO-Detection
      copying detectron2\model_zoo\configs\COCO-Detection\rpn_R_50_FPN_1x.yaml -> build\lib.win-amd64-cpython-310\detectron2\model_zoo\configs\COCO-Detection
      creating build\lib.win-amd64-cpython-310\detectron2\model_zoo\configs\COCO-InstanceSegmentation
      copying detectron2\model_zoo\configs\COCO-InstanceSegmentation\mask_rcnn_R_101_C4_3x.yaml -> build\lib.win-amd64-cpython-310\detectron2\model_zoo\configs\COCO-InstanceSegmentation
      copying detectron2\model_zoo\configs\COCO-InstanceSegmentation\mask_rcnn_R_101_DC5_3x.yaml -> build\lib.win-amd64-cpython-310\detectron2\model_zoo\configs\COCO-InstanceSegmentation
      copying detectron2\model_zoo\configs\COCO-InstanceSegmentation\mask_rcnn_R_101_FPN_3x.yaml -> build\lib.win-amd64-cpython-310\detectron2\model_zoo\configs\COCO-InstanceSegmentation
      copying detectron2\model_zoo\configs\COCO-InstanceSegmentation\mask_rcnn_R_50_C4_1x.yaml -> build\lib.win-amd64-cpython-310\detectron2\model_zoo\configs\COCO-InstanceSegmentation
      copying detectron2\model_zoo\configs\COCO-InstanceSegmentation\mask_rcnn_R_50_C4_3x.yaml -> build\lib.win-amd64-cpython-310\detectron2\model_zoo\configs\COCO-InstanceSegmentation
      copying detectron2\model_zoo\configs\COCO-InstanceSegmentation\mask_rcnn_R_50_DC5_1x.yaml -> build\lib.win-amd64-cpython-310\detectron2\model_zoo\configs\COCO-InstanceSegmentation
      copying detectron2\model_zoo\configs\COCO-InstanceSegmentation\mask_rcnn_R_50_DC5_3x.yaml -> build\lib.win-amd64-cpython-310\detectron2\model_zoo\configs\COCO-InstanceSegmentation
      copying detectron2\model_zoo\configs\COCO-InstanceSegmentation\mask_rcnn_R_50_FPN_1x.yaml -> build\lib.win-amd64-cpython-310\detectron2\model_zoo\configs\COCO-InstanceSegmentation
      copying detectron2\model_zoo\configs\COCO-InstanceSegmentation\mask_rcnn_R_50_FPN_1x_giou.yaml -> build\lib.win-amd64-cpython-310\detectron2\model_zoo\configs\COCO-InstanceSegmentation
      copying detectron2\model_zoo\configs\COCO-InstanceSegmentation\mask_rcnn_R_50_FPN_3x.yaml -> build\lib.win-amd64-cpython-310\detectron2\model_zoo\configs\COCO-InstanceSegmentation
      copying detectron2\model_zoo\configs\COCO-InstanceSegmentation\mask_rcnn_X_101_32x8d_FPN_3x.yaml -> build\lib.win-amd64-cpython-310\detectron2\model_zoo\configs\COCO-InstanceSegmentation
      creating build\lib.win-amd64-cpython-310\detectron2\model_zoo\configs\COCO-Keypoints
      copying detectron2\model_zoo\configs\COCO-Keypoints\Base-Keypoint-RCNN-FPN.yaml -> build\lib.win-amd64-cpython-310\detectron2\model_zoo\configs\COCO-Keypoints
      copying detectron2\model_zoo\configs\COCO-Keypoints\keypoint_rcnn_R_101_FPN_3x.yaml -> build\lib.win-amd64-cpython-310\detectron2\model_zoo\configs\COCO-Keypoints
      copying detectron2\model_zoo\configs\COCO-Keypoints\keypoint_rcnn_R_50_FPN_1x.yaml -> build\lib.win-amd64-cpython-310\detectron2\model_zoo\configs\COCO-Keypoints
      copying detectron2\model_zoo\configs\COCO-Keypoints\keypoint_rcnn_R_50_FPN_3x.yaml -> build\lib.win-amd64-cpython-310\detectron2\model_zoo\configs\COCO-Keypoints
      copying detectron2\model_zoo\configs\COCO-Keypoints\keypoint_rcnn_X_101_32x8d_FPN_3x.yaml -> build\lib.win-amd64-cpython-310\detectron2\model_zoo\configs\COCO-Keypoints
      creating build\lib.win-amd64-cpython-310\detectron2\model_zoo\configs\COCO-PanopticSegmentation
      copying detectron2\model_zoo\configs\COCO-PanopticSegmentation\Base-Panoptic-FPN.yaml -> build\lib.win-amd64-cpython-310\detectron2\model_zoo\configs\COCO-PanopticSegmentation
      copying detectron2\model_zoo\configs\COCO-PanopticSegmentation\panoptic_fpn_R_101_3x.yaml -> build\lib.win-amd64-cpython-310\detectron2\model_zoo\configs\COCO-PanopticSegmentation
      copying detectron2\model_zoo\configs\COCO-PanopticSegmentation\panoptic_fpn_R_50_1x.yaml -> build\lib.win-amd64-cpython-310\detectron2\model_zoo\configs\COCO-PanopticSegmentation
      copying detectron2\model_zoo\configs\COCO-PanopticSegmentation\panoptic_fpn_R_50_3x.yaml -> build\lib.win-amd64-cpython-310\detectron2\model_zoo\configs\COCO-PanopticSegmentation
      creating build\lib.win-amd64-cpython-310\detectron2\model_zoo\configs\Detectron1-Comparisons
      copying detectron2\model_zoo\configs\Detectron1-Comparisons\faster_rcnn_R_50_FPN_noaug_1x.yaml -> build\lib.win-amd64-cpython-310\detectron2\model_zoo\configs\Detectron1-Comparisons
      copying detectron2\model_zoo\configs\Detectron1-Comparisons\keypoint_rcnn_R_50_FPN_1x.yaml -> build\lib.win-amd64-cpython-310\detectron2\model_zoo\configs\Detectron1-Comparisons
      copying detectron2\model_zoo\configs\Detectron1-Comparisons\mask_rcnn_R_50_FPN_noaug_1x.yaml -> build\lib.win-amd64-cpython-310\detectron2\model_zoo\configs\Detectron1-Comparisons
      creating build\lib.win-amd64-cpython-310\detectron2\model_zoo\configs\LVISv0.5-InstanceSegmentation
      copying detectron2\model_zoo\configs\LVISv0.5-InstanceSegmentation\mask_rcnn_R_101_FPN_1x.yaml -> build\lib.win-amd64-cpython-310\detectron2\model_zoo\configs\LVISv0.5-InstanceSegmentation
      copying detectron2\model_zoo\configs\LVISv0.5-InstanceSegmentation\mask_rcnn_R_50_FPN_1x.yaml -> build\lib.win-amd64-cpython-310\detectron2\model_zoo\configs\LVISv0.5-InstanceSegmentation
      copying detectron2\model_zoo\configs\LVISv0.5-InstanceSegmentation\mask_rcnn_X_101_32x8d_FPN_1x.yaml -> build\lib.win-amd64-cpython-310\detectron2\model_zoo\configs\LVISv0.5-InstanceSegmentation
      creating build\lib.win-amd64-cpython-310\detectron2\model_zoo\configs\LVISv1-InstanceSegmentation
      copying detectron2\model_zoo\configs\LVISv1-InstanceSegmentation\mask_rcnn_R_101_FPN_1x.yaml -> build\lib.win-amd64-cpython-310\detectron2\model_zoo\configs\LVISv1-InstanceSegmentation
      copying detectron2\model_zoo\configs\LVISv1-InstanceSegmentation\mask_rcnn_R_50_FPN_1x.yaml -> build\lib.win-amd64-cpython-310\detectron2\model_zoo\configs\LVISv1-InstanceSegmentation
      copying detectron2\model_zoo\configs\LVISv1-InstanceSegmentation\mask_rcnn_X_101_32x8d_FPN_1x.yaml -> build\lib.win-amd64-cpython-310\detectron2\model_zoo\configs\LVISv1-InstanceSegmentation
      creating build\lib.win-amd64-cpython-310\detectron2\model_zoo\configs\Misc
      copying detectron2\model_zoo\configs\Misc\cascade_mask_rcnn_R_50_FPN_1x.yaml -> build\lib.win-amd64-cpython-310\detectron2\model_zoo\configs\Misc
      copying detectron2\model_zoo\configs\Misc\cascade_mask_rcnn_R_50_FPN_3x.yaml -> build\lib.win-amd64-cpython-310\detectron2\model_zoo\configs\Misc
      copying detectron2\model_zoo\configs\Misc\cascade_mask_rcnn_X_152_32x8d_FPN_IN5k_gn_dconv.yaml -> build\lib.win-amd64-cpython-310\detectron2\model_zoo\configs\Misc
      copying detectron2\model_zoo\configs\Misc\mask_rcnn_R_50_FPN_1x_cls_agnostic.yaml -> build\lib.win-amd64-cpython-310\detectron2\model_zoo\configs\Misc
      copying detectron2\model_zoo\configs\Misc\mask_rcnn_R_50_FPN_1x_dconv_c3-c5.yaml -> build\lib.win-amd64-cpython-310\detectron2\model_zoo\configs\Misc
      copying detectron2\model_zoo\configs\Misc\mask_rcnn_R_50_FPN_3x_dconv_c3-c5.yaml -> build\lib.win-amd64-cpython-310\detectron2\model_zoo\configs\Misc
      copying detectron2\model_zoo\configs\Misc\mask_rcnn_R_50_FPN_3x_gn.yaml -> build\lib.win-amd64-cpython-310\detectron2\model_zoo\configs\Misc
      copying detectron2\model_zoo\configs\Misc\mask_rcnn_R_50_FPN_3x_syncbn.yaml -> build\lib.win-amd64-cpython-310\detectron2\model_zoo\configs\Misc
      copying detectron2\model_zoo\configs\Misc\panoptic_fpn_R_101_dconv_cascade_gn_3x.yaml -> build\lib.win-amd64-cpython-310\detectron2\model_zoo\configs\Misc
      copying detectron2\model_zoo\configs\Misc\scratch_mask_rcnn_R_50_FPN_3x_gn.yaml -> build\lib.win-amd64-cpython-310\detectron2\model_zoo\configs\Misc
      copying detectron2\model_zoo\configs\Misc\scratch_mask_rcnn_R_50_FPN_9x_gn.yaml -> build\lib.win-amd64-cpython-310\detectron2\model_zoo\configs\Misc
      copying detectron2\model_zoo\configs\Misc\scratch_mask_rcnn_R_50_FPN_9x_syncbn.yaml -> build\lib.win-amd64-cpython-310\detectron2\model_zoo\configs\Misc
      copying detectron2\model_zoo\configs\Misc\semantic_R_50_FPN_1x.yaml -> build\lib.win-amd64-cpython-310\detectron2\model_zoo\configs\Misc
      creating build\lib.win-amd64-cpython-310\detectron2\model_zoo\configs\PascalVOC-Detection
      copying detectron2\model_zoo\configs\PascalVOC-Detection\faster_rcnn_R_50_C4.yaml -> build\lib.win-amd64-cpython-310\detectron2\model_zoo\configs\PascalVOC-Detection
      copying detectron2\model_zoo\configs\PascalVOC-Detection\faster_rcnn_R_50_FPN.yaml -> build\lib.win-amd64-cpython-310\detectron2\model_zoo\configs\PascalVOC-Detection
      creating build\lib.win-amd64-cpython-310\detectron2\model_zoo\configs\quick_schedules
      copying detectron2\model_zoo\configs\quick_schedules\cascade_mask_rcnn_R_50_FPN_inference_acc_test.yaml -> build\lib.win-amd64-cpython-310\detectron2\model_zoo\configs\quick_schedules
      copying detectron2\model_zoo\configs\quick_schedules\cascade_mask_rcnn_R_50_FPN_instant_test.yaml -> build\lib.win-amd64-cpython-310\detectron2\model_zoo\configs\quick_schedules
      copying detectron2\model_zoo\configs\quick_schedules\fast_rcnn_R_50_FPN_inference_acc_test.yaml -> build\lib.win-amd64-cpython-310\detectron2\model_zoo\configs\quick_schedules
      copying detectron2\model_zoo\configs\quick_schedules\fast_rcnn_R_50_FPN_instant_test.yaml -> build\lib.win-amd64-cpython-310\detectron2\model_zoo\configs\quick_schedules
      copying detectron2\model_zoo\configs\quick_schedules\keypoint_rcnn_R_50_FPN_inference_acc_test.yaml -> build\lib.win-amd64-cpython-310\detectron2\model_zoo\configs\quick_schedules
      copying detectron2\model_zoo\configs\quick_schedules\keypoint_rcnn_R_50_FPN_instant_test.yaml -> build\lib.win-amd64-cpython-310\detectron2\model_zoo\configs\quick_schedules
      copying detectron2\model_zoo\configs\quick_schedules\keypoint_rcnn_R_50_FPN_normalized_training_acc_test.yaml -> build\lib.win-amd64-cpython-310\detectron2\model_zoo\configs\quick_schedules
      copying detectron2\model_zoo\configs\quick_schedules\keypoint_rcnn_R_50_FPN_training_acc_test.yaml -> build\lib.win-amd64-cpython-310\detectron2\model_zoo\configs\quick_schedules
      copying detectron2\model_zoo\configs\quick_schedules\mask_rcnn_R_50_C4_GCV_instant_test.yaml -> build\lib.win-amd64-cpython-310\detectron2\model_zoo\configs\quick_schedules
      copying detectron2\model_zoo\configs\quick_schedules\mask_rcnn_R_50_C4_inference_acc_test.yaml -> build\lib.win-amd64-cpython-310\detectron2\model_zoo\configs\quick_schedules
      copying detectron2\model_zoo\configs\quick_schedules\mask_rcnn_R_50_C4_instant_test.yaml -> build\lib.win-amd64-cpython-310\detectron2\model_zoo\configs\quick_schedules
      copying detectron2\model_zoo\configs\quick_schedules\mask_rcnn_R_50_C4_training_acc_test.yaml -> build\lib.win-amd64-cpython-310\detectron2\model_zoo\configs\quick_schedules
      copying detectron2\model_zoo\configs\quick_schedules\mask_rcnn_R_50_DC5_inference_acc_test.yaml -> build\lib.win-amd64-cpython-310\detectron2\model_zoo\configs\quick_schedules
      copying detectron2\model_zoo\configs\quick_schedules\mask_rcnn_R_50_FPN_inference_acc_test.yaml -> build\lib.win-amd64-cpython-310\detectron2\model_zoo\configs\quick_schedules
      copying detectron2\model_zoo\configs\quick_schedules\mask_rcnn_R_50_FPN_instant_test.yaml -> build\lib.win-amd64-cpython-310\detectron2\model_zoo\configs\quick_schedules
      copying detectron2\model_zoo\configs\quick_schedules\mask_rcnn_R_50_FPN_pred_boxes_training_acc_test.yaml -> build\lib.win-amd64-cpython-310\detectron2\model_zoo\configs\quick_schedules
      copying detectron2\model_zoo\configs\quick_schedules\mask_rcnn_R_50_FPN_training_acc_test.yaml -> build\lib.win-amd64-cpython-310\detectron2\model_zoo\configs\quick_schedules
      copying detectron2\model_zoo\configs\quick_schedules\panoptic_fpn_R_50_inference_acc_test.yaml -> build\lib.win-amd64-cpython-310\detectron2\model_zoo\configs\quick_schedules
      copying detectron2\model_zoo\configs\quick_schedules\panoptic_fpn_R_50_instant_test.yaml -> build\lib.win-amd64-cpython-310\detectron2\model_zoo\configs\quick_schedules
      copying detectron2\model_zoo\configs\quick_schedules\panoptic_fpn_R_50_training_acc_test.yaml -> build\lib.win-amd64-cpython-310\detectron2\model_zoo\configs\quick_schedules
      copying detectron2\model_zoo\configs\quick_schedules\retinanet_R_50_FPN_inference_acc_test.yaml -> build\lib.win-amd64-cpython-310\detectron2\model_zoo\configs\quick_schedules
      copying detectron2\model_zoo\configs\quick_schedules\retinanet_R_50_FPN_instant_test.yaml -> build\lib.win-amd64-cpython-310\detectron2\model_zoo\configs\quick_schedules
      copying detectron2\model_zoo\configs\quick_schedules\rpn_R_50_FPN_inference_acc_test.yaml -> build\lib.win-amd64-cpython-310\detectron2\model_zoo\configs\quick_schedules
      copying detectron2\model_zoo\configs\quick_schedules\rpn_R_50_FPN_instant_test.yaml -> build\lib.win-amd64-cpython-310\detectron2\model_zoo\configs\quick_schedules
      copying detectron2\model_zoo\configs\quick_schedules\semantic_R_50_FPN_inference_acc_test.yaml -> build\lib.win-amd64-cpython-310\detectron2\model_zoo\configs\quick_schedules
      copying detectron2\model_zoo\configs\quick_schedules\semantic_R_50_FPN_instant_test.yaml -> build\lib.win-amd64-cpython-310\detectron2\model_zoo\configs\quick_schedules
      copying detectron2\model_zoo\configs\quick_schedules\semantic_R_50_FPN_training_acc_test.yaml -> build\lib.win-amd64-cpython-310\detectron2\model_zoo\configs\quick_schedules
      copying detectron2\model_zoo\configs\COCO-Detection\fcos_R_50_FPN_1x.py -> build\lib.win-amd64-cpython-310\detectron2\model_zoo\configs\COCO-Detection
      copying detectron2\model_zoo\configs\COCO-Detection\retinanet_R_50_FPN_1x.py -> build\lib.win-amd64-cpython-310\detectron2\model_zoo\configs\COCO-Detection
      copying detectron2\model_zoo\configs\COCO-InstanceSegmentation\mask_rcnn_regnetx_4gf_dds_fpn_1x.py -> build\lib.win-amd64-cpython-310\detectron2\model_zoo\configs\COCO-InstanceSegmentation
      copying detectron2\model_zoo\configs\COCO-InstanceSegmentation\mask_rcnn_regnety_4gf_dds_fpn_1x.py -> build\lib.win-amd64-cpython-310\detectron2\model_zoo\configs\COCO-InstanceSegmentation
      copying detectron2\model_zoo\configs\COCO-InstanceSegmentation\mask_rcnn_R_50_C4_1x.py -> build\lib.win-amd64-cpython-310\detectron2\model_zoo\configs\COCO-InstanceSegmentation
      copying detectron2\model_zoo\configs\COCO-InstanceSegmentation\mask_rcnn_R_50_FPN_1x.py -> build\lib.win-amd64-cpython-310\detectron2\model_zoo\configs\COCO-InstanceSegmentation
      copying detectron2\model_zoo\configs\COCO-Keypoints\keypoint_rcnn_R_50_FPN_1x.py -> build\lib.win-amd64-cpython-310\detectron2\model_zoo\configs\COCO-Keypoints
      copying detectron2\model_zoo\configs\COCO-PanopticSegmentation\panoptic_fpn_R_50_1x.py -> build\lib.win-amd64-cpython-310\detectron2\model_zoo\configs\COCO-PanopticSegmentation
      creating build\lib.win-amd64-cpython-310\detectron2\model_zoo\configs\common
      copying detectron2\model_zoo\configs\common\coco_schedule.py -> build\lib.win-amd64-cpython-310\detectron2\model_zoo\configs\common
      copying detectron2\model_zoo\configs\common\optim.py -> build\lib.win-amd64-cpython-310\detectron2\model_zoo\configs\common
      copying detectron2\model_zoo\configs\common\train.py -> build\lib.win-amd64-cpython-310\detectron2\model_zoo\configs\common
      creating build\lib.win-amd64-cpython-310\detectron2\model_zoo\configs\common\data
      copying detectron2\model_zoo\configs\common\data\coco.py -> build\lib.win-amd64-cpython-310\detectron2\model_zoo\configs\common\data
      copying detectron2\model_zoo\configs\common\data\coco_keypoint.py -> build\lib.win-amd64-cpython-310\detectron2\model_zoo\configs\common\data
      copying detectron2\model_zoo\configs\common\data\coco_panoptic_separated.py -> build\lib.win-amd64-cpython-310\detectron2\model_zoo\configs\common\data
      copying detectron2\model_zoo\configs\common\data\constants.py -> build\lib.win-amd64-cpython-310\detectron2\model_zoo\configs\common\data
      creating build\lib.win-amd64-cpython-310\detectron2\model_zoo\configs\common\models
      copying detectron2\model_zoo\configs\common\models\cascade_rcnn.py -> build\lib.win-amd64-cpython-310\detectron2\model_zoo\configs\common\models
      copying detectron2\model_zoo\configs\common\models\fcos.py -> build\lib.win-amd64-cpython-310\detectron2\model_zoo\configs\common\models
      copying detectron2\model_zoo\configs\common\models\keypoint_rcnn_fpn.py -> build\lib.win-amd64-cpython-310\detectron2\model_zoo\configs\common\models
      copying detectron2\model_zoo\configs\common\models\mask_rcnn_c4.py -> build\lib.win-amd64-cpython-310\detectron2\model_zoo\configs\common\models
      copying detectron2\model_zoo\configs\common\models\mask_rcnn_fpn.py -> build\lib.win-amd64-cpython-310\detectron2\model_zoo\configs\common\models
      copying detectron2\model_zoo\configs\common\models\mask_rcnn_vitdet.py -> build\lib.win-amd64-cpython-310\detectron2\model_zoo\configs\common\models
      copying detectron2\model_zoo\configs\common\models\panoptic_fpn.py -> build\lib.win-amd64-cpython-310\detectron2\model_zoo\configs\common\models
      copying detectron2\model_zoo\configs\common\models\retinanet.py -> build\lib.win-amd64-cpython-310\detectron2\model_zoo\configs\common\models
      copying detectron2\model_zoo\configs\Misc\mmdet_mask_rcnn_R_50_FPN_1x.py -> build\lib.win-amd64-cpython-310\detectron2\model_zoo\configs\Misc
      copying detectron2\model_zoo\configs\Misc\torchvision_imagenet_R_50.py -> build\lib.win-amd64-cpython-310\detectron2\model_zoo\configs\Misc
      creating build\lib.win-amd64-cpython-310\detectron2\model_zoo\configs\new_baselines
      copying detectron2\model_zoo\configs\new_baselines\mask_rcnn_regnetx_4gf_dds_FPN_100ep_LSJ.py -> build\lib.win-amd64-cpython-310\detectron2\model_zoo\configs\new_baselines
      copying detectron2\model_zoo\configs\new_baselines\mask_rcnn_regnetx_4gf_dds_FPN_200ep_LSJ.py -> build\lib.win-amd64-cpython-310\detectron2\model_zoo\configs\new_baselines
      copying detectron2\model_zoo\configs\new_baselines\mask_rcnn_regnetx_4gf_dds_FPN_400ep_LSJ.py -> build\lib.win-amd64-cpython-310\detectron2\model_zoo\configs\new_baselines
      copying detectron2\model_zoo\configs\new_baselines\mask_rcnn_regnety_4gf_dds_FPN_100ep_LSJ.py -> build\lib.win-amd64-cpython-310\detectron2\model_zoo\configs\new_baselines
      copying detectron2\model_zoo\configs\new_baselines\mask_rcnn_regnety_4gf_dds_FPN_200ep_LSJ.py -> build\lib.win-amd64-cpython-310\detectron2\model_zoo\configs\new_baselines
      copying detectron2\model_zoo\configs\new_baselines\mask_rcnn_regnety_4gf_dds_FPN_400ep_LSJ.py -> build\lib.win-amd64-cpython-310\detectron2\model_zoo\configs\new_baselines
      copying detectron2\model_zoo\configs\new_baselines\mask_rcnn_R_101_FPN_100ep_LSJ.py -> build\lib.win-amd64-cpython-310\detectron2\model_zoo\configs\new_baselines
      copying detectron2\model_zoo\configs\new_baselines\mask_rcnn_R_101_FPN_200ep_LSJ.py -> build\lib.win-amd64-cpython-310\detectron2\model_zoo\configs\new_baselines
      copying detectron2\model_zoo\configs\new_baselines\mask_rcnn_R_101_FPN_400ep_LSJ.py -> build\lib.win-amd64-cpython-310\detectron2\model_zoo\configs\new_baselines
      copying detectron2\model_zoo\configs\new_baselines\mask_rcnn_R_50_FPN_100ep_LSJ.py -> build\lib.win-amd64-cpython-310\detectron2\model_zoo\configs\new_baselines
      copying detectron2\model_zoo\configs\new_baselines\mask_rcnn_R_50_FPN_200ep_LSJ.py -> build\lib.win-amd64-cpython-310\detectron2\model_zoo\configs\new_baselines
      copying detectron2\model_zoo\configs\new_baselines\mask_rcnn_R_50_FPN_400ep_LSJ.py -> build\lib.win-amd64-cpython-310\detectron2\model_zoo\configs\new_baselines
      copying detectron2\model_zoo\configs\new_baselines\mask_rcnn_R_50_FPN_50ep_LSJ.py -> build\lib.win-amd64-cpython-310\detectron2\model_zoo\configs\new_baselines
      running build_ext
      C:\sd\vid2densepose\venv\lib\site-packages\torch\utils\cpp_extension.py:502: UserWarning: Attempted to use ninja as the BuildExtension backend but we could not find ninja.. Falling back to using the slow distutils backend.
        warnings.warn(msg.format('we could not find ninja.'))
      C:\sd\vid2densepose\venv\lib\site-packages\torch\utils\cpp_extension.py:383: UserWarning: Error checking compiler version for cl: [WinError 2] The system cannot find the file specified
        warnings.warn(f'Error checking compiler version for {compiler}: {error}')
      building 'detectron2._C' extension
      creating build\temp.win-amd64-cpython-310
      creating build\temp.win-amd64-cpython-310\Release
      creating build\temp.win-amd64-cpython-310\Release\Users
      creating build\temp.win-amd64-cpython-310\Release\Users\nitin
      creating build\temp.win-amd64-cpython-310\Release\Users\nitin\AppData
      creating build\temp.win-amd64-cpython-310\Release\Users\nitin\AppData\Local
      creating build\temp.win-amd64-cpython-310\Release\Users\nitin\AppData\Local\Temp
      creating build\temp.win-amd64-cpython-310\Release\Users\nitin\AppData\Local\Temp\pip-install-b_p55a3b
      creating build\temp.win-amd64-cpython-310\Release\Users\nitin\AppData\Local\Temp\pip-install-b_p55a3b\detectron2_ac8506ef842345c293ac81dc16e32bdd
      creating build\temp.win-amd64-cpython-310\Release\Users\nitin\AppData\Local\Temp\pip-install-b_p55a3b\detectron2_ac8506ef842345c293ac81dc16e32bdd\detectron2
      creating build\temp.win-amd64-cpython-310\Release\Users\nitin\AppData\Local\Temp\pip-install-b_p55a3b\detectron2_ac8506ef842345c293ac81dc16e32bdd\detectron2\layers
      error: could not create 'build\temp.win-amd64-cpython-310\Release\Users\nitin\AppData\Local\Temp\pip-install-b_p55a3b\detectron2_ac8506ef842345c293ac81dc16e32bdd\detectron2\layers': The filename or extension is too long
      [end of output]

  note: This error originates from a subprocess, and is likely not a problem with pip.
  Rolling back uninstall of detectron2
  Moving to c:\sd\vid2densepose\venv\lib\site-packages\detectron2.egg-link
   from C:\Users\nitin\AppData\Local\Temp\pip-uninstall-48jcr5k7\detectron2.egg-link
error: legacy-install-failure

× Encountered error while trying to install package.
╰─> detectron2

note: This is an issue with the package mentioned above, not pip.
hint: See above for output from the failure.

[notice] A new release of pip available: 22.2.1 -> 24.0
[notice] To update, run: python.exe -m pip install --upgrade pip

ERROR: You must install PyTorch prior to installing DensePose

Don't understand what is the issue. Followed the steps mentioned in Readme

(venv) C:\tut\vid2densepose>pip install git+https://github.com/facebookresearch/detectron2@main#subdirectory=projects/DensePose
Looking in indexes: https://pypi.org/simple, https://pypi.ngc.nvidia.com
Collecting git+https://github.com/facebookresearch/detectron2@main#subdirectory=projects/DensePose
  Cloning https://github.com/facebookresearch/detectron2 (to revision main) to c:\users\nitin\appdata\local\temp\pip-req-build-g93v9uik
  Running command git clone --filter=blob:none --quiet https://github.com/facebookresearch/detectron2 'C:\Users\nitin\AppData\Local\Temp\pip-req-build-g93v9uik'
  Resolved https://github.com/facebookresearch/detectron2 to commit 92ae9f0b92aba5867824b4f12aa06a22a60a45d3
  Installing build dependencies ... done
  Getting requirements to build wheel ... error
  error: subprocess-exited-with-error

  × Getting requirements to build wheel did not run successfully.
  │ exit code: 1
  ╰─> [29 lines of output]
      Traceback (most recent call last):
        File "<string>", line 6, in <module>
      ModuleNotFoundError: No module named 'torch'

      The above exception was the direct cause of the following exception:

      Traceback (most recent call last):
        File "C:\tut\vid2densepose\venv\lib\site-packages\pip\_vendor\pyproject_hooks\_in_process\_in_process.py", line 353, in <module>
          main()
        File "C:\tut\vid2densepose\venv\lib\site-packages\pip\_vendor\pyproject_hooks\_in_process\_in_process.py", line 335, in main
          json_out['return_val'] = hook(**hook_input['kwargs'])
        File "C:\tut\vid2densepose\venv\lib\site-packages\pip\_vendor\pyproject_hooks\_in_process\_in_process.py", line 118, in get_requires_for_build_wheel
          return hook(config_settings)
        File "C:\Users\nitin\AppData\Local\Temp\pip-build-env-uixtj06r\overlay\Lib\site-packages\setuptools\build_meta.py", line 325, in get_requires_for_build_wheel
          return self._get_build_requires(config_settings, requirements=['wheel'])
        File "C:\Users\nitin\AppData\Local\Temp\pip-build-env-uixtj06r\overlay\Lib\site-packages\setuptools\build_meta.py", line 295, in _get_build_requires
          self.run_setup()
        File "C:\Users\nitin\AppData\Local\Temp\pip-build-env-uixtj06r\overlay\Lib\site-packages\setuptools\build_meta.py", line 487, in run_setup
          super().run_setup(setup_script=setup_script)
        File "C:\Users\nitin\AppData\Local\Temp\pip-build-env-uixtj06r\overlay\Lib\site-packages\setuptools\build_meta.py", line 311, in run_setup
          exec(code, locals())
        File "<string>", line 8, in <module>
      Exception:
      You must install PyTorch prior to installing DensePose:
      pip install torch

      For more information:
          https://pytorch.org/get-started/locally/

      [end of output]

  note: This error originates from a subprocess, and is likely not a problem with pip.
error: subprocess-exited-with-error

× Getting requirements to build wheel did not run successfully.
│ exit code: 1
╰─> See above for output.

note: This error originates from a subprocess, and is likely not a problem with pip.

pip list

absl-py                   2.1.0
aiofiles                  23.2.1
altair                    5.3.0
annotated-types           0.6.0
antlr4-python3-runtime    4.9.3
anyio                     4.3.0
attrs                     23.2.0
av                        12.0.0
black                     24.4.2
certifi                   2024.2.2
charset-normalizer        3.3.2
click                     8.1.7
cloudpickle               3.0.0
colorama                  0.4.6
contourpy                 1.2.1
cycler                    0.12.1
exceptiongroup            1.2.1
fastapi                   0.110.3
ffmpy                     0.3.2
filelock                  3.14.0
fonttools                 4.51.0
fsspec                    2024.3.1
fvcore                    0.1.5.post20221221
gradio                    4.28.3
gradio_client             0.16.0
grpcio                    1.62.2
h11                       0.14.0
httpcore                  1.0.5
httpx                     0.27.0
huggingface-hub           0.22.2
hydra-core                1.3.2
idna                      3.7
importlib_resources       6.4.0
iopath                    0.1.9
Jinja2                    3.1.3
jsonschema                4.21.1
jsonschema-specifications 2023.12.1
kiwisolver                1.4.5
Markdown                  3.6
markdown-it-py            3.0.0
MarkupSafe                2.1.5
matplotlib                3.8.4
mdurl                     0.1.2
mpmath                    1.3.0
mypy-extensions           1.0.0
networkx                  3.3
numpy                     1.26.4
omegaconf                 2.3.0
opencv-python             4.9.0.80
opencv-python-headless    4.9.0.80
orjson                    3.10.1
packaging                 24.0
pandas                    2.2.2
pathspec                  0.12.1
pillow                    10.3.0
pip                       24.0
platformdirs              4.2.1
portalocker               2.8.2
protobuf                  5.26.1
pycocotools               2.0.7
pydantic                  2.7.1
pydantic_core             2.18.2
pydub                     0.25.1
Pygments                  2.17.2
pyparsing                 3.1.2
python-dateutil           2.9.0.post0
python-multipart          0.0.9
pytz                      2024.1
pywin32                   306
PyYAML                    6.0.1
referencing               0.35.0
requests                  2.31.0
rich                      13.7.1
rpds-py                   0.18.0
ruff                      0.4.2
scipy                     1.13.0
semantic-version          2.10.0
setuptools                63.2.0
shellingham               1.5.4
six                       1.16.0
sniffio                   1.3.1
starlette                 0.37.2
sympy                     1.12
tabulate                  0.9.0
tensorboard               2.16.2
tensorboard-data-server   0.7.2
termcolor                 2.4.0
tomli                     2.0.1
tomlkit                   0.12.0
toolz                     0.12.1
torch                     2.1.0+cu121
torchvision               0.16.0+cu121
tqdm                      4.66.2
typer                     0.12.3
typing_extensions         4.11.0
tzdata                    2024.1
urllib3                   2.2.1
uvicorn                   0.29.0
websockets                11.0.3
Werkzeug                  3.0.2
yacs                      0.1.8

ModuleNotFoundError: No module named 'detectron2.config'

Hi I have a error when I use the "py main.py" command, the error :

File "C:\vid2densepose\main.py", line 1, in
from detectron2.config import get_cfg
ModuleNotFoundError: No module named 'detectron2.config'

Please helps ! thanks

Output MP4 error...

The Process runs, however when complete there is a black screen in the wrong aspect-ratio and the vid won't playback.

I am able to successfully download the Densepose mp4, but the colors are different... (black background instead of purple) It appears that this may be the reason the files don't work in MagicAnimate. Here, are the final error lines:

2023-12-21T06:04:16.163237110Z /home/user/.local/lib/python3.10/site-packages/torch/functional.py:504: UserWarning: torch.meshgrid: in an upcoming release, it will be required to pass the indexing argument. (Triggered internally at ../aten/src/ATen/native/TensorShape.cpp:3526.)
2023-12-21T06:04:16.163286514Z return _VF.meshgrid(tensors, **kwargs) # type: ignore[attr-defined]
2023-12-21T06:07:27.810333894Z /home/user/.local/lib/python3.10/site-packages/gradio/components/video.py:274: UserWarning: Video does not have browser-compatible container or codec. Converting to mp4
2023-12-21T06:07:27.810384571Z warnings.warn(

Please advise, Thanks.

有关依赖DensePose安装的建议(recommendations about reliable DensePose installation)

pip install git+https://github.com/facebookresearch/[email protected]#subdirectory=projects/DensePose

选择v0.6,而不是main,main在linux下没问题。但是windows下无法编译。

其次,提醒大家,cv2的typing目录下的__init__.py文件要修改严谨。
如:D:\anaconda3\Lib\site-packages\cv2\typing_init_.py
第68-83行所有的赋值都缺了单引号‘‘,不严谨,会报错,应该改成:
if numpy.lib.NumpyVersion(numpy.version) > "1.20.0" and sys.version_info >= (3, 9):
NumPyArrayGeneric = 'numpy.ndarray[typing.Any, numpy.dtype[numpy.generic]]'
else:
NumPyArrayGeneric = 'numpy.ndarray'
if numpy.lib.NumpyVersion(numpy.version) > "1.20.0" and sys.version_info >= (3, 9):
NumPyArrayFloat32 = 'numpy.ndarray[typing.Any, numpy.dtype[numpy.float32]]'
else:
NumPyArrayFloat32 = 'numpy.ndarray'
if numpy.lib.NumpyVersion(numpy.version) > "1.20.0" and sys.version_info >= (3, 9):
NumPyArrayFloat64 = 'numpy.ndarray[typing.Any, numpy.dtype[numpy.float64]]'
else:
NumPyArrayFloat64 = 'numpy.ndarray'

这样detectron2在windows上就没相关问题了。

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