杨善锦(Jim)'s starred repositories
segment-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.
ultralytics
NEW - YOLOv8 🚀 in PyTorch > ONNX > OpenVINO > CoreML > TFLite
MochiDiffusion
Run Stable Diffusion on Mac natively
SensorsCalibration
OpenCalib: A Multi-sensor Calibration Toolbox for Autonomous Driving
vision-based-robotic-grasping
Related papers and codes for vision-based robotic grasping
stable-diffusion-docker
Run the official Stable Diffusion releases in a Docker container with txt2img, img2img, depth2img, pix2pix, upscale4x, and inpaint.
BundleTrack
[IROS 2021] BundleTrack: 6D Pose Tracking for Novel Objects without Instance or Category-Level 3D Models
rknn-cpp-Multithreading
A simple demo of yolov5s running on rk3588/3588s using c++ (about 142 frames). / 一个使用c++在rk3588/3588s上运行的yolov5s简单demo(142帧/s)。
arc-robot-vision
MIT-Princeton Vision Toolbox for Robotic Pick-and-Place at the Amazon Robotics Challenge 2017 - Robotic Grasping and One-shot Recognition of Novel Objects with Deep Learning.
virtual_try_on_use_deep_learning
使用深度学习算法实现虚拟试衣镜，结合了人体姿态估计、人体分割、几何匹配和GAN，四种模型。仅仅只依赖opencv库就能运行
yolov5-v6.1-opencv-onnxrun
分别使用OpenCV、ONNXRuntime部署yolov5-v6.1目标检测，包含C++和Python两个版本的程序。支持yolov5s，yolov5m，yolov5l，yolov5n，yolov5x，yolov5s6，yolov5m6，yolov5l6，yolov5n6，yolov5x6的十种结构的yolov5-v6.1
OpenCV-rtsp-server
RTSP streaming using GStreamer
yolov5_for_rknn
YOLOv5 in PyTorch > ONNX > RKNN
yolov8n_onnx_tensorRT_rknn_horizon
yolov8n 部署版本，后处理用python语言和C++语言形式进行改写，便于移植不同平台（onnx、tensorRT、RKNN、Horzion）
yolov8_rknn_Cplusplus
yolov8 瑞芯微 rknn 板端 C++部署。
zmq-protobuf
communication between python and cpp using zeromq and protobuf
QRDetectorAndTracker
一个能定位二维码并跟踪其位置的程序，可用于摄像头对机器的定位