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Grounded SAM: Marrying Grounding DINO with Segment Anything & Stable Diffusion & Recognize Anything - Automatically Detect , Segment and Generate Anything
Object Detection toolkit based on PaddlePaddle. It supports object detection, instance segmentation, multiple object tracking and real-time multi-person keypoint detection.
Implementation of paper - YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors
YOLOX is a high-performance anchor-free YOLO, exceeding yolov3~v5 with MegEngine, ONNX, TensorRT, ncnn, and OpenVINO supported. Documentation: https://yolox.readthedocs.io/
PyTorch implementation of YOLOv3, YOLOv3-SPP, and YOLOv3-tiny for real-time object detection with training, validation, inference, and multi-format export.
OpenMMLab's next-generation platform for general 3D object detection.
OpenPCDet Toolbox for LiDAR-based 3D Object Detection.
World's first general purpose 3D object detection codebse.
Super Fast and Accurate 3D Object Detection based on 3D LiDAR Point Clouds (The PyTorch implementation)
High level network definitions with pre-trained weights in TensorFlow
CubeSLAM: Monocular 3D Object Detection and SLAM
Official implementation of Joint Monocular 3D Vehicle Detection and Tracking (ICCV 2019)
A 3D vision library from 2D keypoints: monocular and stereo 3D detection for humans, social distancing, and body orientation.