Name: Zhengzhuo
Type: User
Company: Wuhan Textile University
Bio: Master candidate of Wuhan Textile University.
Research direction: deep learning, image processing, target detection, image segmentation.
Location: Wuhan
Zhengzhuo's Projects
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
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。
Summary of related papers on visual attention. Related code will be released based on Jittor gradually.
CVPR 2023 论文和开源项目合集
Official electron build of draw.io
🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐
Official code repository for: FCN-Transformer Feature Fusion for Polyp Segmention (MIUA 2022 paper)
Convert JSON annotations into YOLO format.
OpenMMLab Detection Toolbox and Benchmark
Opencv学习笔记(三):图像二值化函数cv2.threshold函数详解
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
PPL Quantization Tool (PPQ) is a powerful offline neural network quantization tool.
集yolov5、centernet、unet算法的pyqt5界面,可实现图片目标检测和语义分割
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.
NEW - YOLOv8 🚀 in PyTorch > ONNX > CoreML > TFLite
Deep Unfolding Network for Image Super-Resolution (CVPR, 2020) (PyTorch)
The original version was created based on YOLOv5
🚀🚀🚀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 in PyTorch > ONNX > CoreML > TFLite
Visualizing Yolov5's layers using GradCam
YOLOv6: a single-stage object detection framework dedicated to industrial applications.
Make it easier for yolov6 to change the network structure