pySLAM is a hybrid Python/C++ Visual SLAM pipeline supporting monocular, stereo, and RGB-D cameras. It provides a broad set of modern local and global feature extractors, multiple loop-closure strategies, a volumetric reconstruction module, integrated depth-prediction models, and semantic segmentation capabilities for enhanced scene understanding.
- 3d-reconstruction
- depth-prediction
- feature-matching
- global-features
Open-source AI video replacement workflow by TEIN. Combine depth maps, SAM segmentation, face meshes, and audio processing to replace characters and objects with Seedance. Includes a local web UI to prepare inputs, review masks, preview generations, and export with original audio.
TRI-ML Monocular Depth Estimation Repository
Image-driven 3D scene generation system. Users provide a reference image and prompt words, and the system generates previewable, replayable, and traceable scene results according to the camera trajectory; official 3D demonstration assets allow direct viewing of color/depth animations and Gaussian point clouds in the browser 图像驱动的三维场景生成系统
- 3d
- gaussian-filter
- gaussian-splatting
Deeper Depth Prediction with Fully Convolutional Residual Networks (FCRN)
Personal project: where shoppers look, estimated from an ordinary security camera and open source AI (YOLO11, Gaze-LLE, Depth Anything V2)
- 3d-reconstruction
- blender
- camera-calibration
- cctv
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Passive market-making bot for Predict.fun: quotes from live order books, replaces stale orders and cancels on unsafe price/depth; Windows desktop app and web console for Ubuntu servers.
A low-glare Dracula-inspired VS Code theme with measured WCAG AA contrast, muted UI accents, and six-step bracket-depth highlighting.
In this project, the Pacman agent will find paths through his maze world, both to reach a particular location and to collect food efficiently. I implemented general search algorithms such as depth-first, breadth-first, uniform cost, and A* search algorithms which are used to solve navigation problems in the Pacman world.