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Tracking and collecting papers/projects/others related to Segment Anything.
Python implementation of A. Levin D. Lischinski and Y. Weiss. A Closed Form Solution to Natural Image Matting. IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), June 2006, New York
Unofficial re-implementation of Aksoy et al.'s soft segmentation method [2017]
Practicing CUDA.
PyTorch implementation of DeepLab v2 on COCO-Stuff / PASCAL VOC
reimpliment of DFANet: Deep Feature Aggregation for Real-Time Semantic Segmentation
Trying out numerical methods for solving differential equations.
Going through epipolar geometry and 3d reconstruction.
Play the game Crossout more efficiently
Pytorch implementation of FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks
Trying out some deep generative models.
An implementation of global matting algorithm for OpenCV.
Efficient Graph Generation with Graph Recurrent Attention Networks, Deep Generative Model of Graphs, Graph Neural Networks, NeurIPS 2019
A project that goes over old-school key-point detection and description. Panorama stitching and Augmented Reality are also demonstrated.
Python implementation of KNN Matting, CVPR 2012 / TPAMI 2013 http://dingzeyu.li/projects/knn/
Reviewing the old-school Lucas-Kanade tracker. Correlation filter is also covered.
Neural Artistic Style implemented from scratch with C++ and CUDA.
MPI programming lessons in C and executable code examples
A PyTorch port of the Neural 3D Mesh Renderer
Just reviewing the regular neural network stuff. Demonstrates the training and testing of a tiny nn for text classification.
Open3D: A Modern Library for 3D Data Processing
OpenPose: Real-time multi-person keypoint detection library for body, face, hands, and foot estimation
Convex hull, path planning for a point and a polygon
This is a compiler that complies a c-like language into MIPS assembly.
We fit a 3D plane from noisy points. In this project, we used SVD to find LSE solution. In addition, RANSAC is used for robustness to outliers.
Image-to-image translation in PyTorch (e.g., horse2zebra, edges2cats, and more)
Semantic Segmentation Architectures Implemented in PyTorch
This is a pytorch version of Realtime_Multi-Person_Pose_Estimation, origin code is here https://github.com/ZheC/Realtime_Multi-Person_Pose_Estimation
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.