Repository Index

A simple screen parsing tool towards pure vision based GUI agent

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

Implementation of paper - YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors

• scaled-yolov4
• yolor
• yolov3
• yolov4

The repository provides code for running inference and finetuning with the Meta Segment Anything Model 3 (SAM 3), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

[ECCV 2024] Official implementation of the paper "Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection"

• object-detection
• open-world
• open-world-detection
• vision-language

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

Implementation of paper - YOLOv9: Learning What You Want to Learn Using Programmable Gradient Information

• yolov9

Faster R-CNN (Python implementation) -- see https://github.com/ShaoqingRen/faster_rcnn for the official MATLAB version

A faster pytorch implementation of faster r-cnn

• faster-rcnn
• pytorch

Minimal PyTorch implementation of YOLOv3

A Keras implementation of YOLOv3 (Tensorflow backend)

The pytorch re-implement of the official efficientdet with SOTA performance in real time and pretrained weights.

• efficientdet
• efficientnet
• pytorch
• object-detection

A PyTorch Implementation of Single Shot MultiBox Detector

• pytorch
• deep-learning
• ssd
• object-detection

A Simple and Versatile Framework for Object Detection and Instance Recognition

• mxnet
• object-detection
• instance-segmentation

tensorflow implementation of 'YOLO : Real-Time Object Detection'

Super Fast and Accurate 3D Object Detection based on 3D LiDAR Point Clouds (The PyTorch implementation)

• 3d-object-detection
• lidar-point-cloud
• bevmap
• center

Tiny YOLO for iOS implemented using CoreML but also using the new MPS graph API.

• core-ml
• mps
• metal
• machine-learning

Official implementation of Joint Monocular 3D Vehicle Detection and Tracking (ICCV 2019)

• 3d-tracking
• 3d-estimation
• monocular-3d-detection
• monocular-vehicle-tracking

YOLOv5 - most advanced vision AI model for object detection. Natively implemented in PyTorch and exportable to TFLite for use in edge solutions.

Implementation of the Mask R-CNN model using OCaml's numerical library Owl.