NVIDIA DeepStream SDK 7.1 / 7.0 / 6.4 / 6.3 / 6.2 / 6.1.1 / 6.1 / 6.0.1 / 6.0 / 5.1 implementation for YOLO models

Detect various marine species in an aquarium environment using MMDetection. This project builds and evaluates object detection models to accurately classify marine life forms like fish, jellyfish, and more. Leveraging the Aquarium Dataset from Roboflow, the project aims to enhance species identification with robust detection models.🐋

OpenMMLab Detection Toolbox and Benchmark

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

OpenMMLab YOLO series toolbox and benchmark. Implemented RTMDet, RTMDet-Rotated,YOLOv5, YOLOv6, YOLOv7, YOLOv8,YOLOX, PPYOLOE, etc.

Officiel implementation of the paper " FlightScope: A Deep Comprehensive Assessment of Aircraft Detection Algorithms in Satellite Imagery "

juxtapose: Multi-Person Pose Tracking Inference SDK with RTMDet, YOLOv8, GDino, RTMPose (ONNX) & Trackers (ByteTrack & BotSORT) & Tapnet with custom ROIs + FastAPI GPU exe

RTMDET在snpe部署

This research delves into the applications CNNs in crowd detection, a domain critical for optimizing operations, ensuring safety, and making informed decisions in diverse industries.

支持RTMDet、YOLOv8、YOLOX、Faster R-CNN等常见算法的ncnn部署

Paddle detection to pytorch

OpenMMLab YOLO series toolbox and benchmark