Nachwa
Follow
Stars
Visualize streams of multimodal data. Free, fast, easy to use, and simple to integrate. Built in Rust.
Enhance your RAG with Contextual Retrieval
PyTorch3D is FAIR's library of reusable components for deep learning with 3D data
Official PyTorch implementation of Superpoint Transformer introduced in [ICCV'23] "Efficient 3D Semantic Segmentation with Superpoint Transformer" and SuperCluster introduced in [3DV'24 Oral] "Scal…
A game engine powered by python and panda3d.
Pointcept: a codebase for point cloud perception research. Latest works: PTv3 (CVPR'24 Oral), PPT (CVPR'24), OA-CNNs (CVPR'24), MSC (CVPR'23)
Code for CVPR 2021 oral paper "Exploring Data-Efficient 3D Scene Understanding with Contrastive Scene Contexts"
Snapchat-alike filters app using opencv
Unofficial PyTorch implementation of "Meta Pseudo Labels"
Persistence Analysis of Multi-scale Planar Structure Graph in Point Clouds
Annotate better with CVAT, the industry-leading data engine for machine learning. Used and trusted by teams at any scale, for data of any scale.
A resource repository for 3D machine learning
Large-scale Point Cloud Semantic Segmentation with Superpoint Graphs
DECA: Detailed Expression Capture and Animation (SIGGRAPH 2021)
💦 Seamless, distributed, real-time integration of Blender into PyTorch data pipelines
A multi-view SMPL fitting based on smplify-x
A pytorch-based deep learning framework for multi-modal 2D/3D medical image segmentation
mean Average Precision - This code evaluates the performance of your neural net for object recognition.
A WebGL viewer for UMAP or TSNE-clustered images
A clean PyTorch implementation of SiamFC tracking/training, evaluated on 7 datasets.
Learn OpenCV : C++ and Python Examples
Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow
A Python module to decode video frames directly, using the FFmpeg C API.
☕ EPIC-KITCHENS-55 dataset python library
Tensors and Dynamic neural networks in Python with strong GPU acceleration