Stars
lightweight and efficient cnn for semantic segmentation, my blog address:
River Water Segmentation in Close-Range Remote Sensing Imagery
This repository contains code for deploying a Gradio application using the SAM2 model for video processing. The application allows users to interact with the model through a user-friendly web inter…
Hello AI World guide to deploying deep-learning inference networks and deep vision primitives with TensorRT and NVIDIA Jetson.
Grounded SAM: Marrying Grounding DINO with Segment Anything & Stable Diffusion & Recognize Anything - Automatically Detect , Segment and Generate Anything
OpenMMLab Detection Toolbox and Benchmark
Grounded SAM 2: Ground and Track Anything in Videos with Grounding DINO, Florence-2 and SAM 2
A ROS package to detect grasp poses in point clouds.
S4G: Amodal Single-view Single-Shot SE(3) Grasp Detection in Cluttered Scene
Robotic grasp generation C/C++ library for parallel-jaw grippers
End-to-End Learning to Grasp from Object Point Clouds
RGENet is a REgion-based Grasp Network for End-to-end Grasp Detection in Point Clouds. It aims at generating the optimal grasp of novel objects from partial noisy observations.
Convert Machine Learning Code Between Frameworks
paper list of robotic grasping and some related works
Implement Lucas-Kanade optical flow estimation, and test it for the two-frame data sets provided in Python from scratch
A simple monocular visual odometry project in Python
Tutorial for working with the KITTI odometry dataset in Python with OpenCV. Includes a review of Computer Vision fundamentals.
Curated list of project-based tutorials