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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…
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.
Fast underwater image enhancement for Improved Visual Perception. #TensorFlow #PyTorch #RAL2020
[ICCV 2019] Monocular depth estimation from a single image
This repository is used to collect underwater scene datasets and is always updated
The official dataset repository of "MarineInst: A Foundation Model for Marine Image Analysis with Instance Visual Description". ECCV [Oral] 2024.
Depth Anything V2. A More Capable Foundation Model for Monocular Depth Estimation
A website displaying hundreds of charts made with Python
OpenMMLab Detection Toolbox and Benchmark
[CVPR 2024] Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data. Foundation Model for Monocular Depth Estimation
NEW - YOLOv8 🚀 in PyTorch > ONNX > OpenVINO > CoreML > TFLite
[ICCV 2023] ProPainter: Improving Propagation and Transformer for Video Inpainting
Style guides for Google-originated open-source projects
A feedback-based debugger for interactively recommending suspicious step in buggy program execution.
Overview and implementation of Belief Propagation and Loopy Belief Propagation algorithms: sum-product, max-product, max-sum
PyTorch implementation of DeepMind's DetCon from "Efficient Visual Pretraining with Contrastive Detection" Henaff et al. (ICCV 2021)
The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.