yxgong0 / CRPD
☆100Updated 2 years ago
Alternatives and similar repositories for CRPD:
Users that are interested in CRPD are comparing it to the libraries listed below
- chinese_LPR tensorrt☆60Updated last year
- ☆43Updated 4 years ago
- yolov5 onnx caffe☆114Updated 3 years ago
- yolov7-face tensorrt☆44Updated last year
- 车牌识别可同时支持单双行识别,包含各种类型车牌数据生成☆33Updated 2 years ago
- 轻量级的车牌检测项目(支持车牌四角定位、矫正对齐)☆162Updated 7 months ago
- China-Balanced-License-Plate-Recognition-Dataset-330k:A balanced dataset of 330,000 images featuring various types of Chinese license pla…☆188Updated last year
- 基于yoloV5-V6系列,train_palte添加多头检测。train_key添加关键点检测算法。☆43Updated 2 years ago
- yolov5 onnx caffe☆85Updated 3 years ago
- yolov8 tensorrt 加速☆53Updated 2 years ago
- tensorrt int8 量化yolov5 onnx模型☆180Updated 3 years ago
- YOLOv5 in PyTorch > ONNX > RKNN☆138Updated 3 years ago
- 基于yolov5的车牌检测,包含车牌角点检测☆156Updated 2 years ago
- ☆110Updated 10 months ago
- TensorRT int8 量化部署 yolov5s 模型,实测3.3ms一帧!☆167Updated 3 years ago
- 使用retinaface完成车牌关键点检测,并在tensorRT下部署☆41Updated 3 years ago
- Generate the fake Chinese license plate images for detection & recognition☆111Updated 4 years ago
- 使用pytorch_quantization对yolov8进行量化☆97Updated last year
- 🚀🚀🚀YOLOC is Combining different modules to build an different Object detection model.Including YOLOv3、YOLOv4、Scaled_YOLOv4、YOLOv5、YOLO…☆74Updated 2 years ago
- yolov5 version6.0☆25Updated 3 years ago
- A simple implementation of Tensorrt YOLOv7☆108Updated 2 years ago
- 使用opencv部署深度学习车牌检测与识别,包含Python和C++两种版本的实现☆49Updated 3 years ago
- 基于hisi3559a的yolov5☆34Updated 3 years ago
- Some tools to operate PaddlePaddle model☆72Updated 2 years ago
- ☆128Updated 10 months ago
- ☆71Updated 6 months ago
- Using GAN magic to generate more realistic license plates☆74Updated 5 years ago
- XLPNet is a light-weight fully convolutional model for license plate detection and recognition.☆13Updated 2 years ago
- End to End Chinese License Plate Recognition☆81Updated 5 years ago
- YOLOv5 in PyTorch > ONNX > CoreML > TFLite☆181Updated 2 years ago