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[ECCV 2022] This is the official implementation of BEVFormer, a camera-only framework for autonomous driving perception, e.g., 3D object detection and semantic map segmentation.

The open-source tool for building high-quality datasets and computer vision models

Examples of using FiftyOne

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 data generation pipeline for creating semi-realistic synthetic multi-object videos with rich annotations such as instance segmentation masks, depth maps, and optical flow.

Python package built to ease deep learning on graph, on top of existing DL frameworks.

PointTrack (ECCV2020 ORAL): Segment as Points for Efficient Online Multi-Object Tracking and Segmentation

Code accompanying "The Trajectron: Probabilistic Multi-Agent Trajectory Modeling with Dynamic Spatiotemporal Graphs" by Boris Ivanovic and Marco Pavone.

Code for "Social GAN: Socially Acceptable Trajectories with Generative Adversarial Networks", Gupta et al, CVPR 2018

Pytorch implementation of FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks

Neural relational inference for interacting systems - pytorch

A complete Pixel2Mesh implementation in PyTorch

Benchmark datasets, data loaders, and evaluators for graph machine learning

Learning to Cluster Faces (CVPR 2019, CVPR 2020)

code for Mesh R-CNN, ICCV 2019

PyTorch3D is FAIR's library of reusable components for deep learning with 3D data

Pure NumPy practice with third-party operator integration

Classify Traffic Signs.

Lane Finding Project for Self-Driving Car ND

An efficient, flexible distributed framework for deep learning

Open source software library for numerical computation using data flow graphs.

A common code-base for Distributed Machine Learning in C++