BasicVSR: The Search for Essential Components in Video Super-Resolution and Beyond
Ported from https://github.com/xinntao/BasicSR
torchvision and torchaudio are not required and hence can be omitted from the command.pip install --upgrade vsbasicvsr
from vsbasicvsr import BasicVSR
ret = BasicVSR(clip)
See __init__.py for the description of the parameters.
VSR-Transformer By Jiezhang Cao, Yawei Li, Kai Zhang, Luc Van Gool This paper proposes a new Transformer for video super-resolution (called VSR-Transf
EFENet EFENet: Reference-based Video Super-Resolution with Enhanced Flow Estimation Code is a bit messy now. I woud clean up soon. For training the EF
Deformable 3D Convolution for Video Super-Resolution Pytorch implementation of l
BayesO: A Bayesian optimization framework in Python Simple, but essential Bayesian optimization package. http://bayeso.org Online documentation Instal
Essential BYOL A simple and complete implementation of Bootstrap your own latent: A new approach to self-supervised Learning in PyTorch + PyTorch Ligh
A 2D Visual Localization Framework based on Essential Matrices This repository provides implementation of our paper accepted at ICRA: To Learn or Not
Deep Image Search - AI-Based Image Search Engine Deep Image Search is an AI-based image search engine that includes deep transfer learning features Ex
TCMR: Beyond Static Features for Temporally Consistent 3D Human Pose and Shape from a Video Qualtitative result Paper teaser video Introduction This r
MAU (NeurIPS2021) Zheng Chang, Xinfeng Zhang, Shanshe Wang, Siwei Ma, Yan Ye, Xinguang Xiang, Wen GAo. Official PyTorch Code for "MAU: A Motion-Aware
Using:
225 Nov 13, 2022
6 Oct 20, 2021
28 Dec 15, 2022
74 Dec 5, 2022
48 Sep 27, 2022
![A 2D Visual Localization Framework based on Essential Matrices [ICRA2020]](https://github.com/GrumpyZhou/visloc-relapose/raw/master/pipeline/pipeline.jpg)
27 Nov 7, 2022
139 Jan 1, 2023
215 Jan 6, 2023
20 Nov 25, 2022
# Imports
import vapoursynth as vs
# getting Vapoursynth core
core = vs.core
# Loading Plugins
core.std.LoadPlugin(path="I:/Hybrid/64bit/vsfilters/Support/fmtconv.dll")
core.std.LoadPlugin(path="I:/Hybrid/64bit/vsfilters/SourceFilter/vsrawsource/vsrawsource.dll")
# source: 'C:\Users\Selur\Desktop\stefan_sif.y4m'
# current color space: YUV420P8, bit depth: 8, resolution: 352x240, fps: 29.97, color matrix: 470bg, yuv luminance scale: full, scanorder: progressive
# Loading C:\Users\Selur\Desktop\stefan_sif.y4m using RawsSource
clip = core.raws.Source("C:/Users/Selur/Desktop/stefan_sif.y4m")
# making sure input color matrix is set as 470bg
clip = core.resize.Bicubic(clip, matrix_in_s="470bg",range_s="full")
# making sure frame rate is set to 29.970
clip = core.std.AssumeFPS(clip=clip, fpsnum=30000, fpsden=1001)
# Setting color range to PC (full) range.
clip = core.std.SetFrameProp(clip=clip, prop="_ColorRange", intval=0)
# adjusting color space from YUV420P8 to RGBS for vsBasicVSR
clip = core.resize.Bicubic(clip=clip, format=vs.RGBS, matrix_in_s="470bg", range_s="full")
# resizing using BasicVSR
from vsbasicvsr import BasicVSR
clip = BasicVSR(clip=clip, radius=15, device_type="cuda", tile=2)
# adjusting resizing to hit target resolution
clip = core.fmtc.resample(clip=clip, w=1280, h=874, kernel="lanczos", interlaced=False, interlacedd=False)
# adjusting output color from: RGB48 to YUV420P10 for x265Model
clip = core.resize.Bicubic(clip=clip, format=vs.YUV420P10, matrix_s="470bg", range_s="full")
# set output frame rate to 29.970fps
clip = core.std.AssumeFPS(clip=clip, fpsnum=30000, fpsden=1001)
# Output
clip.set_output()
gives me
Input and output sizes should be greater than 0, but got input (H: 0, W: 0) output (H: 0, W: 0)
without the tile=2, it works.
fp16 parameter.tile parameter to tile_x and tile_y.用强化学习玩合成大西瓜 代码地址：https://github.com/Sharpiless/play-daxigua-using-Reinforcement-Learning 用强化学习DQN算法，训练AI模型来玩合成大西瓜游戏，提供Keras版本、PARL（paddle）版本和pytorch版本
DeepSIM: Image Shape Manipulation from a Single Augmented Training Sample (ICCV 2021 Oral) Project | Paper Official PyTorch implementation of the pape
LLVIP: A Visible-infrared Paired Dataset for Low-light Vision Project | Arxiv | Abstract It is very challenging for various visual tasks such as image
Pointly-supervised 3D Scene Parsing with Viewpoint Bottleneck Paper Created by Liyi Luo, Beiwen Tian, Hao Zhao and Guyue Zhou from Institute for AI In
MiraiML Mirai: future in japanese. MiraiML is an asynchronous engine for continuous & autonomous machine learning, built for real-time usage. Usage In
InvCompress Official Pytorch Implementation for "Enhanced Invertible Encoding for Learned Image Compression", ACMMM 2021 (Oral) Figure: Our framework
Neural Network CUDA Example Several simple examples for neural network toolkits (PyTorch, TensorFlow, etc.) calling custom CUDA operators. We provide
Textualog Display, filter and search logging messages in the terminal. This project is powered by rich and textual. Some of the ideas and code in this
Neural View Synthesis and Matching for Semi-Supervised Few-Shot Learning of 3D Pose Release Notes The offical PyTorch implementation of Neural View Sy
DA2Lite (Deep Architecture to Lite) is a toolkit to compress and accelerate deep network models. ⭐ Star us on GitHub — it helps!! Frameworks & Librari
Energy-based Latent Aligner for Incremental Learning Accepted to CVPR 2022 We illustrate an Incremental Learning model trained on a continuum of tasks
68 keypoint annotations for COFW test data This repository contains manually annotated 68 keypoints for COFW test data (original annotation of CFOW da
Stronger and Faster Wasserstein Adversarial Attacks Code for Stronger and Faster Wasserstein Adversarial Attacks, appeared in ICML 2020. This reposito
About Chess reinforcement learning by AlphaGo Zero methods. This project is based on these main resources: DeepMind's Oct 19th publication: Mastering
BlueFog Tutorials Welcome to the BlueFog tutorials! In this repository, we've put together a collection of awesome Jupyter notebooks. These notebooks
The tl;dr on a few notable transformer/language model papers + other papers (alignment, memorization, etc).
PointWOLF: Point Cloud Augmentation with Weighted Local Transformations This repository is the implementation of PointWOLF(To appear). Sihyeon Kim1*,
Simple Transformer An implementation of the "Attention is all you need" paper without extra bells and whistles, or difficult syntax. Note: The only ex
Unsupervised Domain Adaptation for Nighttime Aerial Tracking (CVPR2022) Junjie Ye, Changhong Fu, Guangze Zheng, Danda Pani Paudel, and Guang Chen. Uns
MMDetection is an open source object detection toolbox based on PyTorch. It is a part of the OpenMMLab project.
72 Dec 17, 2022
393 Dec 22, 2022
[email protected]">
377 Jan 07, 2023
63 Aug 11, 2022
25 Jul 27, 2022
96 Nov 30, 2022
798 Jan 01, 2023
24 Dec 10, 2022
20 Oct 09, 2022
7 Mar 22, 2022
37 Jan 03, 2023
31 Dec 06, 2022
21 Oct 06, 2022
2k Dec 29, 2022
4 Oct 27, 2021
166 Jan 04, 2023
16 Nov 03, 2022
29 Jun 16, 2022
91 Dec 30, 2022
22.5k Jan 05, 2023