Files
FastDeploy/examples/vision/detection
thunder95 51be3fea78 [Hackthon_4th 177] Support PP-YOLOE-R with BM1684 (#1809)
* first draft

* add robx iou

* add benchmark for ppyoloe_r

* remove trash code

* fix bugs

* add pybind nms rotated option

* add missing head file

* fix bug

* fix bug2

* fix shape bug

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Co-authored-by: DefTruth <31974251+DefTruth@users.noreply.github.com>
2023-04-21 10:48:05 +08:00
..
2023-01-16 11:24:23 +08:00
2023-01-16 11:24:23 +08:00
2023-01-11 15:36:32 +08:00
2023-03-07 13:58:22 +08:00

English | 简体中文

Object Detection Model

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