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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.
Grounded SAM: Marrying Grounding DINO with Segment Anything & Stable Diffusion & Recognize Anything - Automatically Detect , Segment and Generate Anything
✔（已完结）最全面的 深度学习 笔记【土堆 Pytorch】【李沐 动手学深度学习】【吴恩达 深度学习】
Qwen2.5-VL is the multimodal large language model series developed by Qwen team, Alibaba Cloud.
This is the official code for MobileSAM project that makes SAM lightweight for mobile applications and beyond!
Official code for "FeatUp: A Model-Agnostic Frameworkfor Features at Any Resolution" ICLR 2024
[ECCV 2024] Tokenize Anything via Prompting
Codes for TS-CAM: Token Semantic Coupled Attention Map for Weakly Supervised Object Localization.
Unofficial Pytorch implementation of MaskCLIP