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bestyolo

🌟Change the world, it will become a better place. | 以科研和竞赛为导向的最好的YOLO实践框架!

catnet

🛰️ Learning to Aggregate Multi-Scale Context for Instance Segmentation in Remote Sensing Images (arXiv 2021)

cloformer

The official code of "Rethinking Local Perception in Lightweight Vision Transformer"

damo-yolo

DAMO-YOLO: a fast and accurate object detection method with some new techs, including NAS backbones, efficient RepGFPN, ZeroHead, AlignedOTA, and distillation enhancement.

dfa-frcnn

external-attention-pytorch

🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐

hat

CVPR2023 - Activating More Pixels in Image Super-Resolution Transformer

machinelearning_framework_microstructure_characterization

mcca

medetection

MeDetection

mos2

Deep Learning-based Atomic Defect Detection Framework for 2D Materials

nvitop

An interactive NVIDIA-GPU process viewer and beyond, the one-stop solution for GPU process management.

nwd

Official code for "A Normalized Gaussian Wasserstein Distance for Tiny Object Detection"

objectdetection_script

一些关于目标检测的脚本的改进思路代码，详细请看readme.md

oneteacher

python-

《数据分析》这本书中文详解

python-multiple-image-stitching

Implementation of multiple image stitching

python_for_data_analysis_2nd_chinese_version

《利用Python进行数据分析·第2版》

pytorch-yolov4

PyTorch ,ONNX and TensorRT implementation of YOLOv4

rail-defect-detection

rir

The codes of RIR(Random Interpolation Resize).

smallobjectaugmentation

Simple implementation of augmentation for small object detection

steel-pipe-weld-defect-detection

Deep Learning Based Steel Pipe Weld Defect Detection

swinoir

A Framework for Real-time Object Detection and Image Restoration

x-anylabeling

Effortless data labeling with AI support from Segment Anything and other awesome models.

yoloair

🔥🔥🔥YOLOv5, YOLOv6, YOLOv7, YOLOv8, PPYOLOE, YOLOX, YOLOR, YOLOv4, YOLOv3, Transformer, Attention, TOOD and Improved-YOLOv5-YOLOv7... Support to improve backbone, neck, head, loss, IoU, NMS and other modules🚀

yoloair2

☁️💡🎈YOLOAir2 is the second version of the YOLOAir series, The framework is based on YOLOv7, including YOLOv7, YOLOv8, YOLOv6, YOLOv5, YOLOX, YOLOR, YOLOv4, YOLOv3, Transformer, Attention and Improved-YOLOv7... Support to improve Backbone, Neck, Head, Loss, IoU, NMS and other modules

yolov5-lite

🍅🍅🍅YOLOv5-Lite: lighter, faster and easier to deploy. Evolved from yolov5 and the size of model is only 930+kb (int8) and 1.7M (fp16). It can reach 10+ FPS on the Raspberry Pi 4B when the input size is 320×320~

yolov5-multibackbone-compression

YOLOv5 Series Multi-backbone(TPH-YOLOv5, Ghostnet, ShuffleNetv2, Mobilenetv3Small, EfficientNetLite, PP-LCNet, SwinTransformer YOLO), Module(CBAM, DCN), Pruning (EagleEye, Network Slimming), Quantization (MQBench) and Deployment (TensorRT, ncnn) Compression Tool Box.

yolov5_magic

🚀🚀🚀一款面向改进Yolov5的开源仓库，提供丰富的魔改Yolov5方法 An open source repository for improving Yolov5, providing rich magic methods