Pinned Repositories
deep-learning-for-image-processing
deep learning for image processing including classification and object-detection etc.
efficientteacher
faster-rcnn-pytorch
这是一个faster-rcnn的pytorch实现的库，可以利用voc数据集格式的数据进行训练。
Image-Augmentation
Image augmentation for object detection, segmentation and classification
OneTeacher
ResNet50-HDC-FPN-FasterRCNN
fpn
SSDA-YOLO
Codes for my paper "SSDA-YOLO: Semi-supervised Domain Adaptive YOLO for Cross-Domain Object Detection"
Swin-Transformer
This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows".
tph-yolov5
Yolov5-Processing
Multi-backbone, Prune, Quantization, KD
lonelyzyp's Repositories
lonelyzyp/Yolov5-Processing
Multi-backbone, Prune, Quantization, KD
lonelyzyp/deep-learning-for-image-processing
deep learning for image processing including classification and object-detection etc.
lonelyzyp/efficientteacher
lonelyzyp/faster-rcnn-pytorch
这是一个faster-rcnn的pytorch实现的库，可以利用voc数据集格式的数据进行训练。
lonelyzyp/Image-Augmentation
Image augmentation for object detection, segmentation and classification
lonelyzyp/OneTeacher
lonelyzyp/ResNet50-HDC-FPN-FasterRCNN
fpn
lonelyzyp/SSDA-YOLO
Codes for my paper "SSDA-YOLO: Semi-supervised Domain Adaptive YOLO for Cross-Domain Object Detection"
lonelyzyp/Swin-Transformer
This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows".
lonelyzyp/tph-yolov5
lonelyzyp/Wheat-Ears-Detection-Dataset
Dataset from the Ear density estimation from high resolution RGB imagery using deep learning technique paper
lonelyzyp/yolo3-pytorch
这是一个yolo3-pytorch的源码，可以用于训练自己的模型。
lonelyzyp/yolov4-pytorch
这是一个YoloV4-pytorch的源码，可以用于训练自己的模型。
lonelyzyp/yolov4-tiny-pytorch
这是一个YoloV4-tiny-pytorch的源码，可以用于训练自己的模型。
lonelyzyp/yolov5
YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite
lonelyzyp/Yolov5-Flask-VUE
基于Flask开发后端、VUE开发前端框架，在WEB端部署YOLOv5目标检测模型
lonelyzyp/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.
lonelyzyp/yolov5-pytorch
这是一个YoloV5-pytorch的源码，可以用于训练自己的模型。
lonelyzyp/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