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Fast Anime Video Super Resolution and Restoration (Real-CUGAN + Real-ESRGAN + VCISR based)

Home Page: https://github.com/Kiteretsu77/FAST_Anime_VSR

License: MIT License

Python 98.80% Batchfile 1.20%

anime cuda image-processing restoration super-resolution video

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fast_anime_vsr's Issues

Do not put these scripts in any folder.

https://github.com/Kiteretsu77/FAST_Anime_VSR/tree/main/Installation_script
@Kiteretsu77
Why can user @HikariDawn777 make changes, but without Verified "This commit was created on GitHub.com and signed with GitHub’s verified signature." and without a pull request?

Self-trained models

Through your VCISR repo I had also found this inference repo/code, nice :)

I simply wanted to train two models for it and show them here, so I made a Real-CUGAN model, and a Shallow ESRGAN model. But these have been trained with the Real-ESRGAN otf pipeline only and therefore cannot handle video compression / have not been trained for video compression in their current state.

Name: 2xHFA2Real-CUGAN
Download Folder
License: CC BY 4.0
Network: Real-CUGAN
Scale: 2
Purpose: 2x anime upscaler
Iterations: 151'000
epoch: 69
batch_size: 6
HR_size: 128 - 256
Dataset: hfa2k
Number of train images: 2568
OTF Training: Yes
Pretrained_Model_G: up2x-latest-conservative

Slow Pics examples:
Example 1
Example 2
Ludvae1
Ludvae2

Name: 2xHFA2kShallowESRGAN
Download Folder
License: CC BY 4.0
Network: Shallow ESRGAN (6 Blocks)
Scale: 2
Purpose: 2x anime upscaler
Iterations: 180'000
epoch: 167
batch_size: 12
HR_size: 128
Dataset: hfa2k
Number of train images: 2568
OTF Training: Yes
Pretrained_Model_G: None

Slow Pics examples:
Example 1
Example 2
Ludvae1
Ludvae2

tensorRT installation + Running instruction

I'm running:
Windows 10 Pro 10.0.19044 Build 19044
Python 3.7.12
CUDA 11.7
cuDNN 8.6 (I also tried 8.9.0 -as suggested at NVIDIA doc)
RTX 3090 FE

Trying to install "tensorrt" following author's suggested #3 step
(from TensorRT 8.6 GA - TensorRT 8.6 GA for Windows 10 and CUDA 11.0, 11.1, 11.2, 11.3, 11.4, 11.5, 11.6, 11.7 and 11.8 ZIP Package](https://developer.nvidia.com/downloads/compute/machine-learning/tensorrt/secure/8.6.1/zip/TensorRT-8.6.1.6.Windows10.x86_64.cuda-11.8.zip):

python.exe -m pip install tensorrt-8.6.1-cp37-none-win_amd64.whl

Installation passed successfully and "tensorrt" appears among "conda list" installed packages
Unfortunately attempt "import tensorrt" throws an error:

>>> import tensorrt
Traceback (most recent call last):
  File "<stdin>", line 1, in <module>
  File "c:\programdata\miniconda3\lib\site-packages\tensorrt\__init__.py", line 129, in <module>
    ctypes.CDLL(find_lib(lib))
  File "c:\programdata\miniconda3\lib\ctypes\__init__.py", line 364, in __init__
    self._handle = _dlopen(self._name, mode)
OSError: [WinError 126] The specified module could not be found
>>>

This error happens regardless "graphsurgeon,uff,onnx_graphsurgeon" are installed.
Is there any special instruction author can provide me with?
My great appreciation for suggestions.

FileNotFoundError: Could not find: nvinfer.dll. Is it on your PATH?

Graphics processor 1
NVIDIA GeForce RTX 2060 SUPER
Driver version: 31.0.15.3667
Date of development: 12.07.2023
DirectX Version: 12 (FL 12.1)
Dedicated GPU memory 1.4/8.0 GB
Total GPU memory 0.2/19.9 GB
Graphics processor RAM 1.5/27.9 GB
TensorRT-8.6.1.6

(venv) F:\FAST_Anime_VSR>python main.py
Traceback (most recent call last):
  File "F:\FAST_Anime_VSR\main.py", line 1, in <module>
    import tensorrt
  File "F:\FAST_Anime_VSR\venv\lib\site-packages\tensorrt\__init__.py", line 127, in <module>
    ctypes.CDLL(find_lib(lib))
  File "F:\FAST_Anime_VSR\venv\lib\site-packages\tensorrt\__init__.py", line 81, in find_lib
    raise FileNotFoundError(
FileNotFoundError: Could not find: nvinfer.dll. Is it on your PATH?
Note: Paths searched were:
['F:\\FAST_Anime_VSR\\venv\\Scripts', 'C:\\Program Files\\NVIDIA GPU Computing Toolkit\\CUDA\\v11.6\\bin', 'C:\\Program Files\\NVIDIA GPU Computing Toolkit\\CUDA\\v11.6\\libnvvp', 'C:\\VulkanSDK\\1.3.250.1\\Bin', 'C:\\Program Files (x86)\\CodeSynthesis XSD 4.0\\bin\\', 'C:\\Program Files (x86)\\CodeSynthesis XSD 4.0\\bin64\\', 'C:\\Program Files\\ImageMagick-7.1.1-Q16-HDRI', 'C:\\Program Files\\NVIDIA GPU Computing Toolkit\\CUDA\\v9.0\\bin', 'C:\\Program Files\\NVIDIA GPU Computing Toolkit\\CUDA\\v9.0\\libnvvp', 'C:\\Program Files\\NVIDIA GPU Computing Toolkit\\CUDA\\v11.3\\bin', 'C:\\Program Files\\NVIDIA GPU Computing Toolkit\\CUDA\\v11.3\\libnvvp', 'C:\\Program Files (x86)\\Common Files\\Intel\\Shared Libraries\\redist\\intel64_win\\compiler', 'C:\\Program Files (x86)\\Common Files\\Oracle\\Java\\javapath', 'C:\\ProgramData\\Oracle\\Java\\javapath', 'C:\\Program Files\\NVIDIA GPU Computing Toolkit\\CUDA\\v10.0\\bin', 'C:\\Program Files\\NVIDIA GPU Computing Toolkit\\CUDA\\v10.0\\libnvvp', 'C:\\Program Files\\NVIDIA GPU Computing Toolkit\\CUDA\\v11.1\\bin', 'C:\\Program Files\\NVIDIA GPU Computing Toolkit\\CUDA\\v11.1\\libnvvp', 'C:\\Windows\\system32', 'C:\\Windows', 'C:\\Windows\\System32\\Wbem', 'C:\\Windows\\System32\\WindowsPowerShell\\v1.0\\', 'C:\\Windows\\System32\\OpenSSH\\', 'C:\\Program Files (x86)\\NVIDIA Corporation\\PhysX\\Common', 'C:\\Program Files\\NVIDIA Corporation\\NVIDIA NvDLISR', 'C:\\WINDOWS\\system32', 'C:\\WINDOWS', 'C:\\WINDOWS\\System32\\Wbem', 'C:\\WINDOWS\\System32\\WindowsPowerShell\\v1.0\\', 'C:\\WINDOWS\\System32\\OpenSSH\\', 'C:\\Program Files (x86)\\Boxcryptor\\bin\\', 'C:\\Program Files\\Microsoft SQL Server\\150\\Tools\\Binn\\', 'C:\\Program Files\\Microsoft SQL Server\\Client SDK\\ODBC\\170\\Tools\\Binn\\', 'C:\\Program Files\\WireGuard\\', 'C:\\Program Files (x86)\\HP\\Common\\HPDestPlgIn\\', 'F:\\Git\\cmd', 'C:\\Program Files (x86)\\Sudowin\\Clients\\Console', 'C:\\Program Files\\nodejs\\', 'C:\\Program Files\\Docker\\Docker\\resources\\bin', 'F:\\New Folder\\', 'C:\\Program Files\\Cloudflare\\Cloudflare WARP\\', 'C:\\Program Files\\NVIDIA Corporation\\Nsight Compute 2022.1.0\\', 'C:\\Users\\tchot\\AppData\\Local\\Programs\\Python\\Python310\\Scripts\\', 'C:\\Users\\tchot\\AppData\\Local\\Programs\\Python\\Python310\\', 'C:\\Users\\tchot\\scoop\\shims', 'C:\\Users\\tchot\\AppData\\Local\\Programs\\Python\\Python38\\Scripts\\', 'C:\\Users\\tchot\\AppData\\Local\\Programs\\Python\\Python38\\', 'F:\\1\\envs\\mi1\\bin\\\\..\\extras\\CUPTI\\lib64', 'C:\\WINDOWS', 'C:\\WINDOWS', 'C:\\Program Files\\NVIDIA GPU Computing Toolkit\\CUDA\\v9.0\\bin', 'C:\\Program Files\\NVIDIA GPU Computing Toolkit\\CUDA\\v9.0\\libnvvp', 'C:\\Program Files\\NVIDIA GPU Computing Toolkit\\CUDA\\v11.3\\bin', 'C:\\Program Files\\NVIDIA GPU Computing Toolkit\\CUDA\\v11.3\\libnvvp', 'C:\\Program Files (x86)\\Common Files\\Intel\\Shared Libraries\\redist\\intel64_win\\compiler', 'C:\\Program Files (x86)\\Common Files\\Oracle\\Java\\javapath', 'C:\\ProgramData\\Oracle\\Java\\javapath', 'C:\\Program Files\\NVIDIA GPU Computing Toolkit\\CUDA\\v10.0\\bin', 'C:\\Program Files\\NVIDIA GPU Computing Toolkit\\CUDA\\v10.0\\libnvvp', 'C:\\Program Files\\Microsoft\\jdk-11.0.12.7-hotspot\\bin', 'C:\\Program Files\\NVIDIA GPU Computing Toolkit\\CUDA\\v11.1\\bin', 'C:\\Program Files\\NVIDIA GP', 'C:\\Program Files\\NVIDIA GPU Computing Toolkit\\CUDA\\v11.7\\bin\\nvinfer.dll', ''

How to fix it?

ValueError: We need to ensure that the partition num is equals to the parallel num

Hello,
I am trying to upscale 1280 × 768 video (H.264 codec), using Real-ESRGAN and I am getting following error:

python main.py
/mnt/a0b764eb-cdc5-4f46-9a2e-e2f11deba631/PYTHON_CACHE/FAST_Anime_VSR/lib/python3.10/site-packages/transformers/utils/hub.py:124: FutureWarning: Using `TRANSFORMERS_CACHE` is deprecated and will be removed in v5 of Transformers. Use `HF_HOME` instead.
  warnings.warn(
We are going to process single videos located at input.mp4
Current supported input resolution for Super-Resolution is  defaultdict(<class 'list'>, {1280: [264, 768]})
This resolution 1280X768 is supported!
The full frame name is 1280X768 and partition frame name is 1280X264
ffmpeg version 6.1.1 Copyright (c) 2000-2023 the FFmpeg developers
  built with gcc 12.3.0 (conda-forge gcc 12.3.0-5)
  configuration: --prefix=/mnt/a0b764eb-cdc5-4f46-9a2e-e2f11deba631/PYTHON_CACHE/FAST_Anime_VSR --cc=/home/conda/feedstock_root/build_artifacts/ffmpeg_1706918361713/_build_env/bin/x86_64-conda-linux-gnu-cc --cxx=/home/conda/feedstock_root/build_artifacts/ffmpeg_1706918361713/_build_env/bin/x86_64-conda-linux-gnu-c++ --nm=/home/conda/feedstock_root/build_artifacts/ffmpeg_1706918361713/_build_env/bin/x86_64-conda-linux-gnu-nm --ar=/home/conda/feedstock_root/build_artifacts/ffmpeg_1706918361713/_build_env/bin/x86_64-conda-linux-gnu-ar --disable-doc --disable-openssl --enable-demuxer=dash --enable-hardcoded-tables --enable-libfreetype --enable-libharfbuzz --enable-libfontconfig --enable-libopenh264 --enable-libdav1d --enable-gnutls --enable-libmp3lame --enable-libvpx --enable-libass --enable-pthreads --enable-vaapi --enable-libopenvino --enable-gpl --enable-libx264 --enable-libx265 --enable-libaom --enable-libsvtav1 --enable-libxml2 --enable-pic --enable-shared --disable-static --enable-version3 --enable-zlib --enable-libopus --pkg-config=/home/conda/feedstock_root/build_artifacts/ffmpeg_1706918361713/_build_env/bin/pkg-config
  libavutil      58. 29.100 / 58. 29.100
  libavcodec     60. 31.102 / 60. 31.102
  libavformat    60. 16.100 / 60. 16.100
  libavdevice    60.  3.100 / 60.  3.100
  libavfilter     9. 12.100 /  9. 12.100
  libswscale      7.  5.100 /  7.  5.100
  libswresample   4. 12.100 /  4. 12.100
  libpostproc    57.  3.100 / 57.  3.100
Input #0, mov,mp4,m4a,3gp,3g2,mj2, from 'input.mp4':
  Metadata:
    major_brand     : isom
    minor_version   : 512
    compatible_brands: isomiso2avc1mp41
    encoder         : Lavf58.29.100
  Duration: 00:00:06.04, start: 0.000000, bitrate: 1003 kb/s
  Stream #0:0[0x1](und): Video: h264 (High) (avc1 / 0x31637661), yuv420p(progressive), 1280x768, 999 kb/s, 25 fps, 25 tbr, 12800 tbn (default)
    Metadata:
      handler_name    : VideoHandler
      vendor_id       : [0][0][0][0]
Stream map '0:s:0' matches no streams.
To ignore this, add a trailing '?' to the map.
Failed to set value '0:s:0' for option 'map': Invalid argument
Error parsing options for output file tmp/subtitle.srt.
Error opening output files: Invalid argument
duration is  6.04
ffmpeg version 6.1.1 Copyright (c) 2000-2023 the FFmpeg developers
  built with gcc 12.3.0 (conda-forge gcc 12.3.0-5)
  configuration: --prefix=/mnt/a0b764eb-cdc5-4f46-9a2e-e2f11deba631/PYTHON_CACHE/FAST_Anime_VSR --cc=/home/conda/feedstock_root/build_artifacts/ffmpeg_1706918361713/_build_env/bin/x86_64-conda-linux-gnu-cc --cxx=/home/conda/feedstock_root/build_artifacts/ffmpeg_1706918361713/_build_env/bin/x86_64-conda-linux-gnu-c++ --nm=/home/conda/feedstock_root/build_artifacts/ffmpeg_1706918361713/_build_env/bin/x86_64-conda-linux-gnu-nm --ar=/home/conda/feedstock_root/build_artifacts/ffmpeg_1706918361713/_build_env/bin/x86_64-conda-linux-gnu-ar --disable-doc --disable-openssl --enable-demuxer=dash --enable-hardcoded-tables --enable-libfreetype --enable-libharfbuzz --enable-libfontconfig --enable-libopenh264 --enable-libdav1d --enable-gnutls --enable-libmp3lame --enable-libvpx --enable-libass --enable-pthreads --enable-vaapi --enable-libopenvino --enable-gpl --enable-libx264 --enable-libx265 --enable-libaom --enable-libsvtav1 --enable-libxml2 --enable-pic --enable-shared --disable-static --enable-version3 --enable-zlib --enable-libopus --pkg-config=/home/conda/feedstock_root/build_artifacts/ffmpeg_1706918361713/_build_env/bin/pkg-config
  libavutil      58. 29.100 / 58. 29.100
  libavcodec     60. 31.102 / 60. 31.102
  libavformat    60. 16.100 / 60. 16.100
  libavdevice    60.  3.100 / 60.  3.100
  libavfilter     9. 12.100 /  9. 12.100
  libswscale      7.  5.100 /  7.  5.100
  libswresample   4. 12.100 /  4. 12.100
  libpostproc    57.  3.100 / 57.  3.100
Input #0, mov,mp4,m4a,3gp,3g2,mj2, from 'input.mp4':
  Metadata:
    major_brand     : isom
    minor_version   : 512
    compatible_brands: isomiso2avc1mp41
    encoder         : Lavf58.29.100
  Duration: 00:00:06.04, start: 0.000000, bitrate: 1003 kb/s
  Stream #0:0[0x1](und): Video: h264 (High) (avc1 / 0x31637661), yuv420p(progressive), 1280x768, 999 kb/s, 25 fps, 25 tbr, 12800 tbn (default)
    Metadata:
      handler_name    : VideoHandler
      vendor_id       : [0][0][0][0]
Stream map '0:a' matches no streams.
To ignore this, add a trailing '?' to the map.
Failed to set value '0:a' for option 'map': Invalid argument
Error parsing options for output file tmp/output_audio.m4a.
Error opening output files: Invalid argument
We get partition_num 1 and parallel_num 2
Traceback (most recent call last):
  File "/mnt/a0b764eb-cdc5-4f46-9a2e-e2f11deba631/Video/SR/FAST_Anime_VSR/main.py", line 107, in <module>
    main()
  File "/mnt/a0b764eb-cdc5-4f46-9a2e-e2f11deba631/Video/SR/FAST_Anime_VSR/main.py", line 97, in main
    parallel_process(input_path, output_path, parallel_num=configuration.process_num)
  File "/mnt/a0b764eb-cdc5-4f46-9a2e-e2f11deba631/Video/SR/FAST_Anime_VSR/process/single_video.py", line 220, in parallel_process
    parallel_configs = split_video(input_path, parallel_num)
  File "/mnt/a0b764eb-cdc5-4f46-9a2e-e2f11deba631/Video/SR/FAST_Anime_VSR/process/single_video.py", line 149, in split_video
    raise ValueError("We need to ensure that the partition num is equals to the parallel num")
ValueError: We need to ensure that the partition num is equals to the parallel num

better installation instructions on windows

just stumble upon your repo when trying to use real-esrgan with tensorrt, i think the instructions can be a bit better, especially windows and the .bat file

nvidia docs are very long and complicated, i write my own guide to install CUDA + cuDNN + TensorRT on windows: https://github.com/phineas-pta/NVIDIA-win/blob/main/NVIDIA-win.md (u can use this to make tutorial video if u want)

for python packages here my suggestions:

install torch
if cuda 11.8: pip install torch torchvision --index-url https://download.pytorch.org/whl/cu118
if cuda 12.1: pip install torch torchvision --index-url https://download.pytorch.org/whl/cu121
install tensorrt
if linux: pip install tensorrt
if windows: pip install + the tensorrt .whl file in the folder downloaded when install TensorRT
no need to install onnx_graphsurgeon nor tensorrt_dispatch nor tensorrt_lean
also seem like in the future (not now) with tensorrt v9 u can do pip install tensorrt on windows
install packaging with pip install packaging
install torch2trt with pip install git+https://github.com/NVIDIA-AI-IOT/torch2trt.git
no need to git clone

Add NVENC Video Encode and Decode GPU

Add a GPU to encode NVENC video #5
Add a GPU to decode NVENC video

No such file or directory

(venv) F:\FAST_Anime_VSR>python main.py
We are going to process all videos in X:\А\Монстр_encrypted\Новая папка
All files begin
We are super resolving X:\А\Монстр_encrypted\Новая папка\2.mp4 and we will save it at X:\А\Монстр_encrypted\Новая папка (2)\2_processed.mp4
Current supported input resolution for Super-Resolution is  defaultdict(<class 'list'>, {858: [168, 480]})
This resolution 858X480 is supported in weights/ folder!
The full frame name is 858X480 and partition frame name is 858X168
ffmpeg version 4.2.3 Copyright (c) 2000-2020 the FFmpeg developers
  built with gcc 9.3.1 (GCC) 20200523
  configuration: --enable-gpl --enable-version3 --enable-sdl2 --enable-fontconfig --enable-gnutls --enable-iconv --enable-libass --enable-libdav1d --enable-libbluray --enable-libfreetype --enable-libmp3lame --enable-libopencore-amrnb --enable-libopencore-amrwb --enable-libopenjpeg --enable-libopus --enable-libshine --enable-libsnappy --enable-libsoxr --enable-libtheora --enable-libtwolame --enable-libvpx --enable-libwavpack --enable-libwebp --enable-libx264 --enable-libx265 --enable-libxml2 --enable-libzimg --enable-lzma --enable-zlib --enable-gmp --enable-libvidstab --enable-libvorbis --enable-libvo-amrwbenc --enable-libmysofa --enable-libspeex --enable-libxvid --enable-libaom --enable-libmfx --enable-amf --enable-ffnvcodec --enable-cuvid --enable-d3d11va --enable-nvenc --enable-nvdec --enable-dxva2 --enable-avisynth --enable-libopenmpt
  libavutil      56. 31.100 / 56. 31.100
  libavcodec     58. 54.100 / 58. 54.100
  libavformat    58. 29.100 / 58. 29.100
  libavdevice    58.  8.100 / 58.  8.100
  libavfilter     7. 57.100 /  7. 57.100
  libswscale      5.  5.100 /  5.  5.100
  libswresample   3.  5.100 /  3.  5.100
  libpostproc    55.  5.100 / 55.  5.100
X:\╨Р\╨Ь╨╛╨╜╤Б╤В╤А_encrypted\╨Э╨╛╨▓╨░╤П: No such file or directory
ffmpeg version 4.2.3 Copyright (c) 2000-2020 the FFmpeg developers
  built with gcc 9.3.1 (GCC) 20200523
  configuration: --enable-gpl --enable-version3 --enable-sdl2 --enable-fontconfig --enable-gnutls --enable-iconv --enable-libass --enable-libdav1d --enable-libbluray --enable-libfreetype --enable-libmp3lame --enable-libopencore-amrnb --enable-libopencore-amrwb --enable-libopenjpeg --enable-libopus --enable-libshine --enable-libsnappy --enable-libsoxr --enable-libtheora --enable-libtwolame --enable-libvpx --enable-libwavpack --enable-libwebp --enable-libx264 --enable-libx265 --enable-libxml2 --enable-libzimg --enable-lzma --enable-zlib --enable-gmp --enable-libvidstab --enable-libvorbis --enable-libvo-amrwbenc --enable-libmysofa --enable-libspeex --enable-libxvid --enable-libaom --enable-libmfx --enable-amf --enable-ffnvcodec --enable-cuvid --enable-d3d11va --enable-nvenc --enable-nvdec --enable-dxva2 --enable-avisynth --enable-libopenmpt
  libavutil      56. 31.100 / 56. 31.100
  libavcodec     58. 54.100 / 58. 54.100
  libavformat    58. 29.100 / 58. 29.100
  libavdevice    58.  8.100 / 58.  8.100
  libavfilter     7. 57.100 /  7. 57.100
  libswscale      5.  5.100 /  5.  5.100
  libswresample   3.  5.100 /  3.  5.100
  libpostproc    55.  5.100 / 55.  5.100
X:\╨Р\╨Ь╨╛╨╜╤Б╤В╤А_encrypted\╨Э╨╛╨▓╨░╤П: No such file or directory
All Processes Start
Set new attr for inp_path to be tmp/part0.mp4
Set new attr for opt_path to be tmp/part0_res.mp4
P:No such file tmp/part0.mp4 exists!
Set new attr for inp_path to be tmp/part1.mp4
Set new attr for opt_path to be tmp/part1_res.mp4
P:No such file tmp/part1.mp4 exists!
All Processes End
Total time spent for this video is 0 min 7 s
After finish one thing, sleep for a moment!

[Function Request] improvements

Make a video installation and startup instructions for Windows.
Make a simple installation using the bat. file for Windows.
Make a graphical interface
The ability to run using an exe file.

Error Code 2: OutOfMemory (no further information)

process the image with height 720 and width 1280
Use float16 mode in TensorRT
Generating the TensorRT weight ........
[09/04/2023-22:30:21] [TRT] [E] 2: [virtualMemoryBuffer.cpp::nvinfer1::StdVirtualMemoryBufferImpl::resizePhysical::145] Error Code 2: OutOfMemory (no further information)

kiteretsu77 / fast_anime_vsr Goto Github PK

fast_anime_vsr's People

Contributors

Stargazers

Watchers

Forkers

fast_anime_vsr's Issues

Do not put these scripts in any folder.

Self-trained models

tensorRT installation + Running instruction

FileNotFoundError: Could not find: nvinfer.dll. Is it on your PATH?

ValueError: We need to ensure that the partition num is equals to the parallel num

better installation instructions on windows

Add NVENC Video Encode and Decode GPU

No such file or directory

[Function Request] improvements

Error Code 2: OutOfMemory (no further information)

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