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reactor

多进程+非阻塞的TCP服务器

small-object-detection

small-object-detection-with-lightweight-network

ThunderNet detection framework + DlaNet backbone + ShuffleNetV2 lightweight module

swinir

SwinIR: Image Restoration Using Swin Transformer

syndata-generation

Code used to generate synthetic scenes and bounding box annotations for object detection. This was used to generate data used in the Cut, Paste and Learn paper

tamura-in-python

Tamura Texture implemented by python

threadpool

thundernet_pytorch

Implementation Thundernet

tianchi

tianchi 天池 广东工业智造算法赛 广东工业智造大数据创新算法赛 铝材表面瑕疵检测

tianchi-2021-guangdong-tile-detection

天池2021广东工业智能制造大赛瓷砖瑕疵检测极客奖方案

tianchi-industry-ai

天池工业AI大赛

tianchi_xuelang_ai

天池雪浪布匹瑕疵检测，初赛线上949，排名9/2403

uploadfile

pure c++ project for file transfer use tcp protocol

yolor

implementation of paper - You Only Learn One Representation: Unified Network for Multiple Tasks (https://arxiv.org/abs/2105.04206)

yolov5

YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite

yolov5-mobilenetv3

yolov5-multibackbone-compression

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

yolov5-shufflenetv2

yolox

YOLOX is a high-performance anchor-free YOLO, exceeding yolov3~v5 with MegEngine, ONNX, TensorRT, ncnn, and OpenVINO supported. Documentation: https://yolox.readthedocs.io/

yolox-pytorch

这是一个yolox-pytorch的源码，可以用于训练自己的模型。

yolox-train-your-data

load .txt to train YOLOX, same as Yolo others

zhuanli