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FastDeploy currently supports the deployment of the following object detection models
Model | Description | Model format | Version |
---|---|---|---|
PaddleDetection/PP-YOLOE | PP-YOLOE(including P-PYOLOE+) models | Paddle | Release/2.4 |
PaddleDetection/PicoDet | PicoDet models | Paddle | Release/2.4 |
PaddleDetection/YOLOX | YOLOX models of Paddle version | Paddle | Release/2.4 |
PaddleDetection/YOLOv3 | YOLOv3 models | Paddle | Release/2.4 |
PaddleDetection/PP-YOLO | PP-YOLO models | Paddle | Release/2.4 |
PaddleDetection/FasterRCNN | FasterRCNN models | Paddle | Release/2.4 |
WongKinYiu/YOLOv7 | YOLOv7、YOLOv7-X models | ONNX | Release/v0.1 |
RangiLyu/NanoDetPlus | NanoDetPlus models | ONNX | Release/v1.0.0-alpha-1 |
ultralytics/YOLOv5 | YOLOv5 models | ONNX | Release/v7.0 |
ppogg/YOLOv5-Lite | YOLOv5-Lite models | ONNX | Release/v1.4 |
meituan/YOLOv6 | YOLOv6 models | ONNX | Release/0.1.0 |
WongKinYiu/YOLOR | YOLOR models | ONNX | Release/weights |
Megvii-BaseDetection/YOLOX | YOLOX models | ONNX | Release/v0.1.1 |
WongKinYiu/ScaledYOLOv4 | ScaledYOLOv4 models | ONNX | CommitID: 6768003 |