Meta has recently introduced an exciting new advancement in AI: Segment Anything Model 2 (SAM 2). This tool takes the hassle out of object selection in image and video editing, making the process as simple as a click or a few strokes. SAM 2 can effortlessly isolate and track objects with...
SAM is a promptable segmentation system with zero-shot generalization to unfamiliar objects and images, without the need for additional training. Try the demo The research SAM uses a variety of input prompts Prompts specifying what to segment in an image allow for a wide range of segmentation ta...
Segment Anything Research by Meta AIHomeDemoDatasetBlogPaperGithub Before you beginClose This is a research demo and may not be used for any commercial purpose Any images uploaded will be used solely to demonstrate the Segment Anything Model. All images and any data derived from them will be de...
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可以将SAM应用到更多方向,用SAM分割对象,并泛化到未见过的对象,有研究用SAM生成检测的box,集成到标注工具,自动标注数据。可以参考项目,了解SAM的扩展应用。 GitHub - anuragxel/salt: Segment Anything Labelling Tool SAM目前生成的mask都是无标签的,对于需要类别的mask,可以考虑增加head,监督训练类别。可以参考SSA这个...
但是,归根到底SAM是一个promptable segmentation system,主要应用于各种分割任务,对其他的视觉任务(e.g. Classification, Retrieval,VQA...)的帮助没有那么直接。 于是,在继[分割一切],Meta AI再次发布重量级开源项目——DINOv2,DINOv2可以抽取到强大的图像特征,且在下游任务上不需要微调,这使得它适合作为许多不同的...
】⚙️ 模型使用CCTP思维链和PMG框架,实现任务通用的文本提示映射和自适应分割。🚀 实验证明,GenSAM在伪装样本分割任务上表现更好,具备良好的泛化性能。🧩 通过提供通用任务描述,GenSAM模型可以批量地处理所有相关任务的无标注图片,更加高效和可扩展。项目链接:https://top.aibase.com/tool/gensam ...
0.1.0•Public• Published2 years ago Meta's Segment Anything Model (SAM) Demo Site About This repository is based on their demo website,segment-anything.com. Usage To use this repository, clone it and install the required packages by doing: ...
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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. Jupyter Notebook49.6k5.9k faissfaissPublic