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The repository provides code for running inference with the Meta Segment Anything Model 2 (SAM 2), links for downloading the trained model checkpoints, and example notebooks that show how to use th…
Free online textbook of Jupyter notebooks for fast.ai Computational Linear Algebra course
My continuously updated Machine Learning, Probabilistic Models and Deep Learning notes and demos (2000+ slides) 我不间断更新的机器学习，概率模型和深度学习的讲义(2000+页)和视频链接
A real-time approach for mapping all human pixels of 2D RGB images to a 3D surface-based model of the body
[ICCV 2019] Monocular depth estimation from a single image
A simplified implemention of Faster R-CNN that replicate performance from origin paper
Handout for the tutorial "Creating publication-quality figures with matplotlib"
An unsupervised learning framework for depth and ego-motion estimation from monocular videos
pytorch1.0 updated. Support cpu test and demo. (Use detectron2, it's a masterpiece)
Code for "Deep Snake for Real-Time Instance Segmentation" CVPR 2020 oral
(CVPR 2019) Pseudo-LiDAR from Visual Depth Estimation: Bridging the Gap in 3D Object Detection for Autonomous Driving
Code for "PVNet: Pixel-wise Voting Network for 6DoF Pose Estimation" CVPR 2019 oral
D2-Net: A Trainable CNN for Joint Description and Detection of Local Features
Evaluation of the CNN design choices performance on ImageNet-2012.
Self-Supervised Learning of 3D Human Pose using Multi-view Geometry (CVPR2019)
The ApolloScape Open Dataset for Autonomous Driving and its Application.
Master's Thesis on Simultaneous Localization and Mapping in dynamic environments. Separately reconstructs both the static environment and the dynamic objects from it, such as cars.
[NeurIPS 2020] This project provides a strong single-stage baseline for Long-Tailed Classification, Detection, and Instance Segmentation (LVIS). It is also a PyTorch implementation of the NeurIPS 2…
Detectorch - detectron for PyTorch
Joint deep network for feature line detection and description
Multi-View 3D Object Detection Network for Autonomous Driving
STEAL - Learning Semantic Boundaries from Noisy Annotations (CVPR 2019)
(ECCV 2020) RANSAC-Flow: generic two-stage image alignment
Picture and specifications scraper
Devkit for the public 2019 Lyft Level 5 AV Dataset (fork of https://github.com/nutonomy/nuscenes-devkit)
Build a CNN network to predict 3D bounding box of car from 2D image.