Stars
This package includes a dynamixel template based on official source code and some personal notes. Running Env : ROS -Melodic
Official implementation of OV-DINO: Unified Open-Vocabulary Detection with Language-Aware Selective Fusion
[CVPR 2024 Highlight] Official GraCo: Granularity-Controllable Interactive Segmentation.
[RSS 2024] 3D Diffusion Policy: Generalizable Visuomotor Policy Learning via Simple 3D Representations
[CVPR 2024] Official RT-DETR (RTDETR paddle pytorch), Real-Time DEtection TRansformer, DETRs Beat YOLOs on Real-time Object Detection. 🔥 🔥 🔥
Mobile ALOHA: Learning Bimanual Mobile Manipulation with Low-Cost Whole-Body Teleoperation
[CVPR 2024 Highlight] FoundationPose: Unified 6D Pose Estimation and Tracking of Novel Objects
[CVPR2024] Code for "SAM-6D: Segment Anything Model Meets Zero-Shot 6D Object Pose Estimation".
Dobb·E: An open-source, general framework for learning household robotic manipulation
[NeurIPS 2023] GenPose: Generative Category-Level Object Pose Estimation via Diffusion Models
Grounded SAM: Marrying Grounding DINO with Segment Anything & Stable Diffusion & Recognize Anything - Automatically Detect , Segment and Generate Anything
The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
🍅 Deploy ncnn on mobile phones. Support Android and iOS. 移动端ncnn部署,支持Android与iOS。
🍅🍅🍅YOLOv5-Lite: Evolved from yolov5 and the size of model is only 900+kb (int8) and 1.7M (fp16). Reach 15 FPS on the Raspberry Pi 4B~
[CVPR 2023 Highlight] InternImage: Exploring Large-Scale Vision Foundation Models with Deformable Convolutions
For the paper of "Auto-reading method for precision pointer meter based on ICM"
A traditional way to solve pointer meter reading
基于opencv的指针式仪表的识别与读数
Code for "ATISS: Autoregressive Transformers for Indoor Scene Synthesis", NeurIPS 2021
PolyGen and Sceneformer in PyTorch
A high-quality ellipse detector based on arc-support line segments which can both accurately and efficiently detect ellipses in images.
The code of paper "EDSF: Fast and Accurate Ellipse Detection via Disjoint-set Forest" (ICME2022)
open Multi-View Stereo reconstruction library