Object Detection toolkit based on PaddlePaddle. It supports object detection, instance segmentation, multiple object tracking and real-time multi-person keypoint detection.

🔥🔥🔥TensorRT for YOLOv8、YOLOv8-Pose、YOLOv8-Seg、YOLOv8-Cls、YOLOv7、YOLOv6、YOLOv5、YOLONAS......🚀🚀🚀CUDA IS ALL YOU NEED.🍎🍎🍎

🚀🚀🚀 YOLO series of PaddlePaddle implementation, PP-YOLOE+, RT-DETR, YOLOv5, YOLOv6, YOLOv7, YOLOv8, YOLOv10, YOLOX, YOLOv5u, YOLOv7u, YOLOv6Lite, RTMDet and so on. 🚀🚀🚀

This repository is based on shouxieai/tensorRT_Pro, with adjustments to support YOLOv8.

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.

Deploy RT-EDTR with onnx from paddlepaddle framwork and graph cut

Paddle detection to pytorch

Tensorrt codebase to inference in c++ for all major neural arch using onnx

RT-DETR(v2)のPythonでのONNX推論サンプル

Hybrid RT DETR: Hybrid encoder-decoder network for end-to-end object detection in UAV imagery

RT-DETR for pytorch

RT-DETR(v2 ※PyTorch版)をGoogle Colaboratory上で訓練しONNXのファイルをエクスポートするサンプル

D-FINEをGoogle Colaboratory上で訓練しONNXのファイルをエクスポートするサンプル

D-FINEのPythonでのONNX推論サンプル

Evaluating the performance of DETR, RT-DETR and YOLO-V8 on Video-Diver-Dataset (VDD)

Refinement, finetuning, and deployment of RT-DETRv2.

2024 SOTA object detector RT-DETR (CVPR2024, https://github.com/lyuwenyu/RT-DETR) inference using Rust + Ort

Repository containing implemetation and documentation of master's thesis Object detection and segmentation in historical encrypted manuscripts at at Faculty of Electrical Engineering and Information Technology of Slovak University of Technology in Bratislava (FEI STU).

D-FINEをカスタムデータセットで学習するプログラム