This is to test functionalities of RT-DETR
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Updated
Feb 19, 2024 - Python
This is to test functionalities of RT-DETR
Evaluating the performance of DETR, RT-DETR and YOLO-V8 on Video-Diver-Dataset (VDD)
Deploy RT-EDTR with onnx from paddlepaddle framwork and graph cut
C++ object detection inference from video or image input source
This repository provides a PyTorch implementation of RT-DeTR, a state-of-the-art Realtime Detection Transformer for object detection tasks.
This repository is based on shouxieai/tensorRT_Pro, with adjustments to support YOLOv8.
🚀🚀🚀 YOLO series of PaddlePaddle implementation, PP-YOLOE+, RT-DETR, YOLOv5, YOLOv6, YOLOv7, YOLOv8, YOLOX, YOLOv5u, YOLOv7u, YOLOv6Lite, RTMDet and so on. 🚀🚀🚀
🔥🔥🔥TensorRT for YOLOv8、YOLOv8-Pose、YOLOv8-Seg、YOLOv8-Cls、YOLOv7、YOLOv6、YOLOv5、YOLONAS......🚀🚀🚀CUDA IS ALL YOU NEED.🍎🍎🍎
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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