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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Updated
Oct 10, 2025 - Python
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, YOLO11, YOLOX, YOLOv5u, YOLOv7u, YOLOv6Lite, RTMDet and so on. 🚀🚀🚀
This repository is based on shouxieai/tensorRT_Pro, with adjustments to support YOLOv8.
This repository provides a PyTorch implementation of RT-DeTR, a state-of-the-art Realtime Detection Transformer for object detection tasks.
Real-time pose estimation pipeline with 🤗 Transformers
Tensorrt codebase to inference in c++ for all major neural arch using onnx
AI for remote sensing, remote sense, object detection, computer vision, cv
Deploy RT-EDTR with onnx from paddlepaddle framwork and graph cut
C++ application to perform computer vision tasks using Nvidia Triton Server for model inference
The repository contains multiple algorithms for 1D and 2D barcode localization proposed in different papers in the past years. The repository contains the tools to measure the performance of those algorithms
RT-DETR(v2)のPythonでのONNX推論サンプル
RT-DETR(v2 ※(注記)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
Evaluating the performance of DETR, RT-DETR and YOLO-V8 on Video-Diver-Dataset (VDD)
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