Cross-platform, customizable ML solutions for live and streaming media.
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Cross-platform, customizable ML solutions for live and streaming media.
OpenPose: Real-time multi-person keypoint detection library for body, face, hands, and foot estimation
FinceptTerminal is a modern finance application offering advanced market analytics, investment research, and economic data tools, designed for interactive exploration and data-driven decision-making in a user-friendly environment.
The code for our newly accepted paper in Pattern Recognition 2020: "U^2-Net: Going Deeper with Nested U-Structure for Salient Object Detection."
[NeurIPS 2024] Depth Anything V2. A More Capable Foundation Model for Monocular Depth Estimation
Pretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xception, DPN, etc.
A python library built to empower developers to build applications and systems with self-contained Computer Vision capabilities
Depth-Aware Video Frame Interpolation (CVPR 2019)
[CVPR 2024] Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data. Foundation Model for Monocular Depth Estimation
[CVPR 2020] 3D Photography using Context-aware Layered Depth Inpainting
Depth Anything 3
ECCV18 Workshops - Enhanced SRGAN. Champion PIRM Challenge on Perceptual Super-Resolution. The training codes are in BasicSR.
The GitHub repository for the paper "Informer" accepted by AAAI 2021.
Accepted as [NeurIPS 2024] Spotlight Presentation Paper
🌊 Online machine learning in Python
Depth Pro: Sharp Monocular Metric Depth in Less Than a Second.
Pretrained Pytorch face detection (MTCNN) and facial recognition (InceptionResnet) models
[CVPR 2023 Best Paper Award] Planning-oriented Autonomous Driving
[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.
[ICCV 2019] Monocular depth estimation from a single image
LPIPS metric. pip install lpips
OpenMMLab Video Perception Toolbox. It supports Video Object Detection (VID), Multiple Object Tracking (MOT), Single Object Tracking (SOT), Video Instance Segmentation (VIS) with a unified framework.
MapAnything: Universal Feed-Forward Metric 3D Reconstruction
Compute FID scores with PyTorch.