Deploy RT-EDTR with onnx from paddlepaddle framwork and graph cut
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Updated
May 5, 2023 - Python
Deploy RT-EDTR with onnx from paddlepaddle framwork and graph cut
This repository provides a PyTorch implementation of RT-DeTR, a state-of-the-art Realtime Detection Transformer for object detection tasks.
Evaluating the performance of DETR, RT-DETR and YOLO-V8 on Video-Diver-Dataset (VDD)
🚀🚀🚀 YOLO series of PaddlePaddle implementation, PP-YOLOE+, RT-DETR, YOLOv5, YOLOv6, YOLOv7, YOLOv8, YOLOv10, YOLOX, YOLOv5u, YOLOv7u, YOLOv6Lite, RTMDet and so on. 🚀🚀🚀
Refinement, finetuning, and deployment of RT-DETRv2.
Object Detection toolkit based on PaddlePaddle. It supports object detection, instance segmentation, multiple object tracking and real-time multi-person keypoint detection.
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