Ultralytics YOLOv5 in PyTorch for object detection, instance segmentation, classification, training, and export.
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NVR with realtime local object detection for IP cameras
- rtsp
- realtime
- tensorflow
- google-coral
Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.
Grounded SAM: Marrying Grounding DINO with Segment Anything & Stable Diffusion & Recognize Anything - Automatically Detect , Segment and Generate Anything
- open-vocabulary-detection
- open-vocabulary-segmentation
- data-generation
- automatic-labeling-system
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
[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
YOLOX is a high-performance anchor-free YOLO, exceeding yolov3~v5 with MegEngine, ONNX, TensorRT, ncnn, and OpenVINO supported. Documentation: https://yolox.readthedocs.io/
- yolox
- yolov3
- onnx
- tensorrt
PyTorch implementation of YOLOv3, YOLOv3-SPP, and YOLOv3-tiny for real-time object detection with training, validation, inference, and multi-format export.
A Simple and Versatile Framework for Object Detection and Instance Recognition
- mxnet
- object-detection
- instance-segmentation
R-CNN: Regions with Convolutional Neural Network Features
An open source tool to quantify the world
World's first general purpose 3D object detection codebse.
- nuscenes
- 3d-object-detection
- point-cloud
- 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
High level network definitions with pre-trained weights in TensorFlow
- tensorflow
- model
- zoo
- deep-learning
Build fully-functioning computer vision models with PyTorch
Object detection system using deformable part models (DPMs) and latent SVM (voc-release5). You may want to use the latest tarball on my website. The github code may include code changes that have not been tested as thoroughly and will not necessarily reproduce the results on the website.
A 3D vision library from 2D keypoints: monocular and stereo 3D detection for humans, social distancing, and body orientation.
- 3d-object-detection
- 3d-detection
- 3d-deep-learning
- pytorch
SPP_net : Spatial Pyramid Pooling in Deep Convolutional Networks for Visual Recognition
ROS package for the Perception (Sensor Processing, Detection, Tracking and Evaluation) of the KITTI Vision Benchmark Suite
- ros
- ros-kinetic
- ros-packages
- rviz