gm19900510 / Pytorch_Retina_License_PlateLinks
轻量级的车牌检测项目(支持车牌四角定位、矫正对齐)
☆170Updated last year
Alternatives and similar repositories for Pytorch_Retina_License_Plate
Users that are interested in Pytorch_Retina_License_Plate are comparing it to the libraries listed below
Sorting:
- Generate the fake Chinese license plate images for detection & recognition☆115Updated 6 years ago
- 生成车牌识别数据集☆144Updated 2 years ago
- End to End Chinese License Plate Recognition☆80Updated 6 years ago
- yolov5 onnx caffe☆120Updated 4 years ago
- 深度学习车牌检测与识别,检测结果包含车牌矩形框和4个角点,基于pytorch框架运行☆116Updated 4 years ago
- ALPR model in unconstrained scenarios for Chinese license plates☆172Updated 5 years ago
- 使用retinaface完成车牌关键点检测,并在tensorRT下部署☆40Updated 4 years ago
- 中国车牌生成☆176Updated 6 years ago
- ☆117Updated 3 years ago
- 基于yolov5的人脸检测,带关键点检测☆254Updated 4 years ago
- Car model classification☆57Updated 3 years ago
- Pytorch + STNet + LPRNet 进行车牌识别☆47Updated 5 years ago
- TensorRT int8 量化部署 yolov5s 模型,实测3.3ms一帧!☆171Updated 4 years ago
- chinese_LPR tensorrt☆69Updated 2 years ago
- SLPNet: Towards End-to-End Car License Plates Detection and Recognition Using Lightweight CNN☆59Updated 3 years ago
- tensorrt wheels (API)☆76Updated 5 years ago
- ☆50Updated 5 years ago
- ☆38Updated 5 years ago
- 基于yolov5的车牌检测,包含车牌角点检测☆164Updated 3 years ago
- 基于4种轻量级深度卷积网络的无场景约束全自动车牌识别,轻量级车牌检测,轻量级车牌识别,pyqt5可视化界面☆69Updated 5 years ago
- yolov5 onnx caffe☆87Updated 4 years ago
- car plate number recognization☆66Updated 5 years ago
- ☆128Updated 5 years ago
- Chinese City Parking Dataset(with Blue and Green add Yellow)☆38Updated 4 years ago
- various of fire pictures and videos in the repository☆62Updated 6 years ago
- YOLOv5 in PyTorch > ONNX > RKNN☆140Updated 4 years ago
- Tips on how to find suitable object detection anchors☆146Updated 5 years ago
- A simple implementation of Tensorrt YOLOv7☆107Updated 3 years ago
- Fire and smoke classification and detection using efficientnet☆105Updated 5 years ago
- yoloface大礼包 使用pytroch实现的基于yolov3的轻量级人脸检测(包含关键点)☆298Updated 3 years ago