Object Detection toolkit based on PaddlePaddle. It supports object detection, instance segmentation, multiple object tracking and real-time multi-person keypoint detection.
- object-detection
- instance-segmentation
- faster-rcnn
- mask-rcnn
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PyTorch implementation of YOLOv3, YOLOv3-SPP, and YOLOv3-tiny for real-time object detection with training, validation, inference, and multi-format export.
- yolov3
- object-detection
- yolo
- deep-learning
A PyTorch Implementation of Single Shot MultiBox Detector
[IJCV-2021] FairMOT: On the Fairness of Detection and Re-Identification in Multi-Object Tracking
- multi-object-tracking
- one-shot-tracker
- joint-detection-and-tracking
- real-time
Single Shot MultiBox Detector in TensorFlow
OpenMMLab Video Perception Toolbox. It supports Video Object Detection (VID), Multiple Object Tracking (MOT), Single Object Tracking (SOT), Video Instance Segmentation (VIS) with a unified framework.
- single-object-tracking
- video-object-detection
- multi-object-tracking
- video-instance-segmentation
AdelaiDet is an open source toolbox for multiple instance-level detection and recognition tasks.
- fcos
- blendmask
- abcnet
- object-detection
SNIPER / AutoFocus is an efficient multi-scale object detection training / inference algorithm
You Only Look Once for Panopitic Driving Perception.（MIR2022）
- multitask-learning
- object-detection
- lane-detection
- drivable-area-segmentation
implementation of paper - You Only Learn One Representation: Unified Network for Multiple Tasks (https://arxiv.org/abs/2105.04206)
- yolov4
- scaled-yolov4
- yolov4-csp
- darknet
Multi-Object Tracking via DeepSORT
ROS package for the Perception (Sensor Processing, Detection, Tracking and Evaluation) of the KITTI Vision Benchmark Suite
- ros
- ros-kinetic
- ros-packages
- rviz