Real-ESRGAN: Training Real-World Blind Super-Resolution with Pure Synthetic Data

Overview

Real-ESRGAN

Real-ESRGAN: Training Real-World Blind Super-Resolution with Pure Synthetic Data

Ported from https://github.com/xinntao/Real-ESRGAN

Dependencies

  • NumPy
  • PyTorch, preferably with CUDA. Note that torchvision and torchaudio are not required and hence can be omitted from the command.
  • VapourSynth

Installation

pip install --upgrade vsrealesrgan
python -m vsrealesrgan

Usage

from vsrealesrgan import RealESRGAN

ret = RealESRGAN(clip)

See __init__.py for the description of the parameters.

Comments
  • Installing on portable vapoursynth?

    Installing on portable vapoursynth?

    I'm getting this error:

    ` python -m pip install --upgrade vsrealesrgan Collecting vsrealesrgan Using cached vsrealesrgan-3.1.0-py3-none-any.whl (7.4 kB) Collecting tqdm Using cached tqdm-4.64.0-py2.py3-none-any.whl (78 kB) Requirement already satisfied: numpy in d:\vapoursynth\lib\site-packages (from vsrealesrgan) (1.22.3) Collecting VapourSynth>=55 Using cached VapourSynth-58.zip (558 kB) Preparing metadata (setup.py) ... error error: subprocess-exited-with-error

    × python setup.py egg_info did not run successfully. │ exit code: 1 ╰─> [15 lines of output] Traceback (most recent call last): File "C:\Users*\AppData\Local\Temp\pip-install-2415kpn4\vapoursynth_712c69d39f4a4718a3f6b523a85b39eb\setup.py", line 64, in dll_path = query(winreg.HKEY_LOCAL_MACHINE, REGISTRY_PATH, REGISTRY_KEY) File "C:\Users*\AppData\Local\Temp\pip-install-2415kpn4\vapoursynth_712c69d39f4a4718a3f6b523a85b39eb\setup.py", line 38, in query reg_key = winreg.OpenKey(hkey, path, 0, winreg.KEY_READ) FileNotFoundError: [WinError 2] The system cannot find the file specified

      During handling of the above exception, another exception occurred:
    
      Traceback (most recent call last):
        File "<string>", line 2, in <module>
        File "<pip-setuptools-caller>", line 34, in <module>
        File "C:\Users\**\AppData\Local\Temp\pip-install-2415kpn4\vapoursynth_712c69d39f4a4718a3f6b523a85b39eb\setup.py", line 67, in <module>
          raise OSError("Couldn't detect vapoursynth installation path")
      OSError: Couldn't detect vapoursynth installation path
      [end of output]
    

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

    × Encountered error while generating package metadata. ╰─> See above for output.

    note: This is an issue with the package mentioned above, not pip. hint: See above for details. `

    opened by manus693 8
  • 'vapoursynth.VideoFrame' object is not subscriptable

    'vapoursynth.VideoFrame' object is not subscriptable

    Error on frame 15 request: 'vapoursynth.VideoFrame' object is not subscriptable

    py3.6.4 vs.core.version: VapourSynth Video Processing Library\nCopyright (c) 2012-2018 Fredrik Mellbin\nCore R44\nAPI R3.5\nOptions: -\n torch.version: 1.10.0+cu111

    vpy: import vapoursynth as vs import sys sys.path.append("C:\C\Transcoding\VapourSynth\core64\plugins\Scripts") import mvsfunc as mvf sys.path.append(r"C:\Users\liujing\AppData\Local\Programs\Python\Python36\Lib\site-packages\vsrealesrgan") from vsrealesrgan import RealESRGAN

    core = vs.get_core(accept_lowercase=True) source = core.ffms2.Source(sourcename) source = mvf.ToRGB(source,depth=32) source = RealESRGAN(source) source= mvf.ToYUV(source,depth=16) source.set_output()

    opened by splinter21 4
  • TensorRT

    TensorRT "Ran out of input"?

    Using:

    # Imports
    import vapoursynth as vs
    # getting Vapoursynth core
    core = vs.core
    import site
    import os
    # Adding torch dependencies to PATH
    path = site.getsitepackages()[0]+'/torch_dependencies/'
    path = path.replace('\\', '/')
    os.environ["PATH"] = path + os.pathsep + os.environ["PATH"]
    # Loading Plugins
    core.std.LoadPlugin(path="i:/Hybrid/64bit/vsfilters/Support/fmtconv.dll")
    core.std.LoadPlugin(path="i:/Hybrid/64bit/vsfilters/SourceFilter/LSmashSource/vslsmashsource.dll")
    # source: 'G:\TestClips&Co\files\test.avi'
    # current color space: YUV420P8, bit depth: 8, resolution: 640x352, fps: 25, color matrix: 470bg, yuv luminance scale: limited, scanorder: progressive
    # Loading G:\TestClips&Co\files\test.avi using LWLibavSource
    clip = core.lsmas.LWLibavSource(source="G:/TestClips&Co/files/test.avi", format="YUV420P8", stream_index=0, cache=0, prefer_hw=0)
    # Setting color matrix to 470bg.
    clip = core.std.SetFrameProps(clip, _Matrix=5)
    clip = clip if not core.text.FrameProps(clip,'_Transfer') else core.std.SetFrameProps(clip, _Transfer=5)
    clip = clip if not core.text.FrameProps(clip,'_Primaries') else core.std.SetFrameProps(clip, _Primaries=5)
    # Setting color range to TV (limited) range.
    clip = core.std.SetFrameProp(clip=clip, prop="_ColorRange", intval=1)
    # making sure frame rate is set to 25
    clip = core.std.AssumeFPS(clip=clip, fpsnum=25, fpsden=1)
    clip = core.std.SetFrameProp(clip=clip, prop="_FieldBased", intval=0)
    original = clip
    from vsrealesrgan import RealESRGAN
    # adjusting color space from YUV420P8 to RGBH for VsRealESRGAN
    clip = core.resize.Bicubic(clip=clip, format=vs.RGBH, matrix_in_s="470bg", range_s="limited")
    # resizing using RealESRGAN
    clip = RealESRGAN(clip=clip, device_index=0, trt=True, trt_cache_path="G:/Temp", num_streams=4) # 2560x1408
    # resizing 2560x1408 to 640x352
    # adjusting resizing
    clip = core.resize.Bicubic(clip=clip, format=vs.RGBS, range_s="limited")
    clip = core.fmtc.resample(clip=clip, w=640, h=352, kernel="lanczos", interlaced=False, interlacedd=False)
    original = core.resize.Bicubic(clip=original, width=640, height=352)
    # adjusting output color from: RGBS to YUV420P8 for x264Model
    clip = core.resize.Bicubic(clip=clip, format=vs.YUV420P8, matrix_s="470bg", range_s="limited", dither_type="error_diffusion")
    original = core.text.Text(clip=original,text="Original",scale=1,alignment=7)
    clip = core.text.Text(clip=clip,text="Filtered",scale=1,alignment=7)
    stacked = core.std.StackHorizontal([original,clip])
    # Output
    stacked.set_output()
    

    I get

    Failed to evaluate the script: Python exception: Ran out of input

    Traceback (most recent call last):
    File "src\cython\vapoursynth.pyx", line 2866, in vapoursynth._vpy_evaluate
    File "src\cython\vapoursynth.pyx", line 2867, in vapoursynth._vpy_evaluate
    File "C:\Users\Selur\Desktop\test_2.vpy", line 32, in 
    clip = RealESRGAN(clip=clip, device_index=0, trt=True, trt_cache_path="G:/Temp", num_streams=4) # 2560x1408
    File "I:\Hybrid\64bit\Vapoursynth\Lib\site-packages\torch\autograd\grad_mode.py", line 27, in decorate_context
    return func(*args, **kwargs)
    File "I:\Hybrid\64bit\Vapoursynth\Lib\site-packages\vsrealesrgan\__init__.py", line 284, in RealESRGAN
    module = [torch.load(trt_engine_path) for _ in range(num_streams)]
    File "I:\Hybrid\64bit\Vapoursynth\Lib\site-packages\vsrealesrgan\__init__.py", line 284, in 
    module = [torch.load(trt_engine_path) for _ in range(num_streams)]
    File "I:\Hybrid\64bit\Vapoursynth\Lib\site-packages\torch\serialization.py", line 795, in load
    return _legacy_load(opened_file, map_location, pickle_module, **pickle_load_args)
    File "I:\Hybrid\64bit\Vapoursynth\Lib\site-packages\torch\serialization.py", line 1002, in _legacy_load
    magic_number = pickle_module.load(f, **pickle_load_args)
    EOFError: Ran out of input
    

    Works fine with trt=False.

    ->Any idea what is going wrong there?

    opened by Selur 3
  • [REQ] SwinIR port

    [REQ] SwinIR port

    opened by forart 1
  • Vapoursynth R58 support

    Vapoursynth R58 support

    When trying to install vs-realesrgan in Vapoursynth R58 I get:

    I:\Hybrid\64bit\Vapoursynth>python -m pip install --upgrade vsrealesrgan
    Collecting vsrealesrgan
      Using cached vsrealesrgan-2.0.0-py3-none-any.whl (12 kB)
    Collecting VapourSynth>=55
      Using cached VapourSynth-57.zip (567 kB)
      Preparing metadata (setup.py) ... error
      error: subprocess-exited-with-error
    
      × python setup.py egg_info did not run successfully.
      │ exit code: 1
      ╰─> [15 lines of output]
          Traceback (most recent call last):
            File "C:\Users\Selur\AppData\Local\Temp\pip-install-7_na63f8\vapoursynth_4864864388024a95a1e8b4adda80b293\setup.py", line 64, in <module>
              dll_path = query(winreg.HKEY_LOCAL_MACHINE, REGISTRY_PATH, REGISTRY_KEY)
            File "C:\Users\Selur\AppData\Local\Temp\pip-install-7_na63f8\vapoursynth_4864864388024a95a1e8b4adda80b293\setup.py", line 38, in query
              reg_key = winreg.OpenKey(hkey, path, 0, winreg.KEY_READ)
          FileNotFoundError: [WinError 2] Das System kann die angegebene Datei nicht finden
    
          During handling of the above exception, another exception occurred:
    
          Traceback (most recent call last):
            File "<string>", line 2, in <module>
            File "<pip-setuptools-caller>", line 34, in <module>
            File "C:\Users\Selur\AppData\Local\Temp\pip-install-7_na63f8\vapoursynth_4864864388024a95a1e8b4adda80b293\setup.py", line 67, in <module>
              raise OSError("Couldn't detect vapoursynth installation path")
          OSError: Couldn't detect vapoursynth installation path
          [end of output]
    
      note: This error originates from a subprocess, and is likely not a problem with pip.
    error: metadata-generation-failed
    
    × Encountered error while generating package metadata.
    ╰─> See above for output.
    
    note: This is an issue with the package mentioned above, not pip.
    hint: See above for details.
    

    any idea how to fix this?

    opened by Selur 0
  • 'vapoursynth.VideoFrame' object has no attribute 'get_read_array'

    'vapoursynth.VideoFrame' object has no attribute 'get_read_array'

    I have been trying to use this plugin, however I get the below error when trying to preview the video in VapourSynth Editor r19-mod-2-x86_64

    Error on frame 0 request: 'vapoursynth.VideoFrame' object has no attribute 'get_read_array'

    The code I am getting this error from is below

    from vapoursynth import core
    from vsrealesrgan import RealESRGAN
    import havsfunc as haf
    import vapoursynth as vs
    video = core.ffms2.Source(source='EDIT.mkv')
    video = haf.QTGMC(video, Preset="slow", MatchPreset="slow", MatchPreset2="slow", SourceMatch=3, TFF=True)
    video = core.std.SelectEvery(clip=video, cycle=2, offsets=0)
    video = core.std.Crop(clip=video, left=8, right=8, top=0, bottom=0)
    video = core.resize.Spline36(clip=video, width=640, height=480)
    video = core.resize.Bicubic(clip=video, format=vs.RGBS, matrix_in_s="470bg", range_s="limited")
    video = RealESRGAN(clip=video, device_index=0)
    video = core.resize.Bicubic(clip=video, format=vs.YUV420P10, matrix_s="470bg", range_s="limited")
    video = core.resize.Spline36(clip=video, width=1440, height=1080)
    video = core.std.AssumeFPS(clip=video, fpsnum=30000, fpsden=1001)
    video.set_output()
    
    opened by silentsudin 0
Releases(v4.0.1)
Owner
Holy Wu
Holy Wu
Apply our monocular depth boosting to your own network!

MergeNet - Boost Your Own Depth Boost custom or edited monocular depth maps using MergeNet Input Original result After manual editing of base You can

Computational Photography Lab @ SFU 142 Dec 17, 2022
docTR by Mindee (Document Text Recognition) - a seamless, high-performing & accessible library for OCR-related tasks powered by Deep Learning.

docTR by Mindee (Document Text Recognition) - a seamless, high-performing & accessible library for OCR-related tasks powered by Deep Learning.

Mindee 1.5k Jan 01, 2023
Deep Halftoning with Reversible Binary Pattern

Deep Halftoning with Reversible Binary Pattern ICCV Paper | Project Website | BibTex Overview Existing halftoning algorithms usually drop colors and f

Menghan Xia 17 Nov 22, 2022
PyTorch implementation of VAGAN: Visual Feature Attribution Using Wasserstein GANs

Prototypical Networks for Few shot Learning in PyTorch Simple alternative Implementation of Prototypical Networks for Few Shot Learning (paper, code)

Orobix 93 Aug 17, 2022
Poisson Surface Reconstruction for LiDAR Odometry and Mapping

Poisson Surface Reconstruction for LiDAR Odometry and Mapping Surfels TSDF Our Approach Table: Qualitative comparison between the different mapping te

Photogrammetry & Robotics Bonn 305 Dec 21, 2022
Dados coletados e programas desenvolvidos no processo de iniciação científica

Iniciacao_cientifica_FAPESP_2020-14845-6 Dados coletados e programas desenvolvidos no processo de iniciação científica Os arquivos .py são os programa

1 Jan 10, 2022
Towards Flexible Blind JPEG Artifacts Removal (FBCNN, ICCV 2021)

Towards Flexible Blind JPEG Artifacts Removal (FBCNN, ICCV 2021) Jiaxi Jiang, Kai Zhang, Radu Timofte Computer Vision Lab, ETH Zurich, Switzerland 🔥

Jiaxi Jiang 282 Jan 02, 2023
To Design and Implement Logistic Regression to Classify Between Benign and Malignant Cancer Types

To Design and Implement Logistic Regression to Classify Between Benign and Malignant Cancer Types, from a Database Taken From Dr. Wolberg reports his Clinic Cases.

Astitva Veer Garg 1 Jul 31, 2022
A PyTorch implementation of the Relational Graph Convolutional Network (RGCN).

Torch-RGCN Torch-RGCN is a PyTorch implementation of the RGCN, originally proposed by Schlichtkrull et al. in Modeling Relational Data with Graph Conv

Thiviyan Singam 66 Nov 30, 2022
Merlion: A Machine Learning Framework for Time Series Intelligence

Merlion: A Machine Learning Library for Time Series Table of Contents Introduction Installation Documentation Getting Started Anomaly Detection Foreca

Salesforce 2.8k Dec 30, 2022
Official repo for BMVC2021 paper ASFormer: Transformer for Action Segmentation

ASFormer: Transformer for Action Segmentation This repo provides training & inference code for BMVC 2021 paper: ASFormer: Transformer for Action Segme

42 Dec 23, 2022
code for "Self-supervised edge features for improved Graph Neural Network training",

Self-supervised edge features for improved Graph Neural Network training Data availability: Here is a link to the raw data for the organoids dataset.

Neal Ravindra 23 Dec 02, 2022
[ACMMM 2021, Oral] Code release for "Elastic Tactile Simulation Towards Tactile-Visual Perception"

EIP: Elastic Interaction of Particles Code release for "Elastic Tactile Simulation Towards Tactile-Visual Perception", in ACMMM (Oral) 2021. By Yikai

Yikai Wang 37 Dec 20, 2022
Supporting code for the paper "Dangers of Bayesian Model Averaging under Covariate Shift"

Dangers of Bayesian Model Averaging under Covariate Shift This repository contains the code to reproduce the experiments in the paper Dangers of Bayes

Pavel Izmailov 25 Sep 21, 2022
Disentangled Lifespan Face Synthesis

Disentangled Lifespan Face Synthesis Project Page | Paper Demo on Colab Preparation Please follow this github to prepare the environments and dataset.

何森 50 Sep 20, 2022
Implementing DeepMind's Fast Reinforcement Learning paper

Fast Reinforcement Learning This is a repo where I implement the algorithms in the paper, Fast reinforcement learning with generalized policy updates.

Marcus Chiam 6 Nov 28, 2022
Decoding the Protein-ligand Interactions Using Parallel Graph Neural Networks

Decoding the Protein-ligand Interactions Using Parallel Graph Neural Networks Requirements python 0.10+ rdkit 2020.03.3.0 biopython 1.78 openbabel 2.4

Neeraj Kumar 3 Nov 23, 2022
Deep generative modeling for time-stamped heterogeneous data, enabling high-fidelity models for a large variety of spatio-temporal domains.

Neural Spatio-Temporal Point Processes [arxiv] Ricky T. Q. Chen, Brandon Amos, Maximilian Nickel Abstract. We propose a new class of parameterizations

Facebook Research 75 Dec 19, 2022
Face-Recognition-based-Attendance-System - An implementation of Attendance System in python.

Face-Recognition-based-Attendance-System A real time implementation of Attendance System in python. Pre-requisites To understand the implentation of F

Muhammad Zain Ul Haque 1 Dec 31, 2021