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albumentations

Fast image augmentation library and an easy-to-use wrapper around other libraries. Documentation: https://albumentations.ai/docs/ Paper about the library: https://www.mdpi.com/2078-2489/11/2/125

awesome-chatgpt-prompts-zh

ChatGPT 中文调教指南。各种场景使用指南。学习怎么让它听你的话。

awesome-vision-attentions

Summary of related papers on visual attention. Related code will be released based on Jittor gradually.

cvpr2023-papers-with-code

CVPR 2023 论文和开源项目合集

drawio-desktop

Official electron build of draw.io

external-attention-pytorch

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

fcbformer

Official code repository for: FCN-Transformer Feature Fusion for Polyp Segmention (MIUA 2022 paper)

image_correction

json2yolo

Convert JSON annotations into YOLO format.

mmdetection

OpenMMLab Detection Toolbox and Benchmark

opencv-cv2.threshold-

Opencv学习笔记(三):图像二值化函数cv2.threshold函数详解

platerecognition

License-Plate-Recognition 支持12种车牌检测识别，包含yolov5,yolov7,yolov8车牌检测，车牌矫正，车牌识别等，准确率高达99.5% 还有车牌数据集提供下载

ppq

PPL Quantization Tool (PPQ) is a powerful offline neural network quantization tool.

pyqt5_yolov5_unet_centernet

集yolov5、centernet、unet算法的pyqt5界面，可实现图片目标检测和语义分割

segment_best_tcl

tcl_engineering_zhengzhuo

Using OpenCV to extract the features of the screen border, we use the detection and segmentation method to match the extracted coordinate points with the hand movement coordinates.

ultralytics

NEW - YOLOv8 🚀 in PyTorch > ONNX > CoreML > TFLite

usrnet

Deep Unfolding Network for Image Super-Resolution (CVPR, 2020) (PyTorch)

yoloair

The original version was created based on YOLOv5

yoloc

🚀🚀🚀YOLOC is Combining different modules to build an different Object detection model.Including YOLOv3、YOLOv4、Scaled_YOLOv4、YOLOv5、YOLOv6、YOLOv7、YOLOX、YOLOR、PPYOLO、PPYOLOE

yolov3

YOLOv3 in PyTorch > ONNX > CoreML > TFLite

yolov5-gradcam

Visualizing Yolov5's layers using GradCam

yolov6

YOLOv6: a single-stage object detection framework dedicated to industrial applications.

yolov6_pro

Make it easier for yolov6 to change the network structure