rtmdet

There are 12 repositories under rtmdet topic.

  • open-mmlab/mmdetection

    OpenMMLab Detection Toolbox and Benchmark

    Language:Python31.7k3708.5k9.7k
  • open-mmlab/mmyolo

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

    Language:Python3.3k32416602
  • marcoslucianops/DeepStream-Yolo

    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

    Language:C++1.8k31636407
  • PaddlePaddle/PaddleYOLO

    🚀🚀🚀 YOLO series of PaddlePaddle implementation, PP-YOLOE+, RT-DETR, YOLOv5, YOLOv6, YOLOv7, YOLOv8, YOLOv10, YOLO11, YOLOX, YOLOv5u, YOLOv7u, YOLOv6Lite, RTMDet and so on. 🚀🚀🚀

    Language:Python63315156148
  • toelt-llc/FlightScope_Bench

    Officiel implementation of the paper "FlightScope: An Experimental Comparative Review of Aircraft Detection Algorithms in Satellite Imagery"

    Language:Jupyter Notebook36401
  • ziqinyeow/juxtapose

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

    Language:Python31275
  • CycloneBoy/PPDetectionPytorch

    Paddle detection to pytorch

    Language:Python26111
  • tkhe/detective

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

    Language:C++10103
  • modelai/ymir-mmyolo

    OpenMMLab YOLO series toolbox and benchmark

    Language:Python2001
  • PatilSusheel/marine_species_detection

    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.🐋

    Language:Jupyter Notebook1100
  • zli20/RtmDet_Snpe

    RTMDET在snpe部署

    Language:C++1110
  • huzi1998/COMPARATIVE-ANALYSIS-of-Convolutional-Neural-Networks-for-Crowd-Detection

    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.

    Language:Jupyter Notebook0100