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This repository contains several hyperspectral image analysis algorithms, including unmixing, registration and fusion.
《代码随想录》LeetCode 刷题攻略:200道经典题目刷题顺序,共60w字的详细图解,视频难点剖析,50余张思维导图,支持C++,Java,Python,Go,JavaScript等多语言版本,从此算法学习不再迷茫!🔥🔥 来看看,你会发现相见恨晚!🚀
LabelImg is now part of the Label Studio community. The popular image annotation tool created by Tzutalin is no longer actively being developed, but you can check out Label Studio, the open source …
[CVPR 2024] Official RT-DETR (RTDETR paddle pytorch), Real-Time DEtection TRansformer, DETRs Beat YOLOs on Real-time Object Detection. 🔥 🔥 🔥
RTSP server based on GStreamer. This module has been merged into the main GStreamer repo for further development.
NEW - YOLOv8 🚀 in PyTorch > ONNX > OpenVINO > CoreML > TFLite
YOLOv10: Real-Time End-to-End Object Detection
YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite
Implementation of paper - YOLOv9: Learning What You Want to Learn Using Programmable Gradient Information
STCNet: Spatio-Temporal Cross Network for Industrial Smoke Detection
Count the MACs / FLOPs of your PyTorch model.
use transfer learning to detect smoke in images and videos
This projevct aims to detect fire in forest and other areas
直播源相关资源汇总 📺 💯 IPTV、M3U —— 勤洗手、戴口罩,祝愿所有人百毒不侵
U-Mamba: Enhancing Long-range Dependency for Biomedical Image Segmentation
[ECCV2024] An official pytorch implement of the paper "MambaIR: A simple baseline for image restoration with state-space model".
A minimal GPU design in Verilog to learn how GPUs work from the ground up
*No longer in development* Please see https://github.com/unpause-live/SwiftVideo
🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐
The state-of-the-art image restoration model without nonlinear activation functions.
Compact Convolution Transformers
Escaping the Big Data Paradigm with Compact Transformers, 2021 (Train your Vision Transformers in 30 mins on CIFAR-10 with a single GPU!)
Official implementation of CrossViT. https://arxiv.org/abs/2103.14899
Code for the Convolutional Vision Transformer (ConViT)
PyTorch version of the paper 'Enhanced Deep Residual Networks for Single Image Super-Resolution' (CVPRW 2017)
PyTorch code for our ICLR 2019 paper "Residual Non-local Attention Networks for Image Restoration"
[Unofficial] PyTorch implementation of "Conformer: Convolution-augmented Transformer for Speech Recognition" (INTERSPEECH 2020)