Demo: https://sam2.metademolab.com Code: https://github.com/facebookresearch/segment-anything-2 Website: https://ai.meta.com/sam2 优点 分割精度提升: 相比原始的SAM模型,SAM 2在分割精度上有所提高,能够更准确地识别并分割图像和视频中的对象。 处理速度加快: SAM 2的处理速度提高了大约六倍,能够...
Demo:https://sam2.metademolab.comCode:https://github.com/facebookresearch/segment-anything-2Website:https://ai.meta.com/sam2 优点 分割精度提升: 相比原始的SAM模型,SAM 2在分割精度上有所提高,能够更准确地识别并分割图像和视频中的对象。 处理速度加快: SAM 2的处理速度提高了大约六倍,能够更快地...
Demo:sam2.metademolab.com/代码:github.com/facebookrese 0 省流 新模型:提出了Segment Anything Model 2 (SAM 2),这是一个针对图像和视频的视觉分割模型,能够处理实时视频流。SAM 2 采用了简单的变换器架构和流式内存,以实现实时视频处理。 数据引擎:构建了一个数据引擎,通过用户交互来改善模型和数据,收集...
多模态大语言模型将视觉将文本令牌、图像或视频的视觉令牌以及视觉提示令牌一起作为输入，就可以生成文本输出。在文本输出中的 “[SEG]” 令牌对应的提示词就可以使用 SAM-2 模型输出对应的分割结果。
2、新宝岛,猛男舞团 Demo (Form 哔哩哔哩) Question: Please locate and segment the man in center. Question: What are these guys doing? Answer: The guys in the video are dancing together in a group. They are performing a choreographed routine, moving in sync with each other. ...
2、新宝岛,猛男舞团 Demo (Form 哔哩哔哩) Question: Please locate and segment the man in center. Question: What are these guys doing? Answer: The guys in the video are dancing together in a group. They are performing a choreographed routine, moving in sync with each other. ...
2、新宝岛,猛男舞团 Demo (Form 哔哩哔哩) Question: Please locate and segment the man in center. 7:48 00:0000:00色彩调整亮度明亮饱和度100对比度100恢复默认设置 Question: What are these guys doing? Answer: The guys in the video are dancing together in a group. They are performing a choreog...
2、新宝岛,猛男舞团 Demo (Form 哔哩哔哩) Question: Please locate and segment the man in center. Question: What are these guys doing? Answer: The guys in the video are dancing together in a group. They are performing a choreographed routine, moving in sync with each other. ...
在预计算图像嵌入后,SAM 可以立即为任何提示提供分割掩码,从而实现与模型的实时交互。 以下是基于钻头刃面磨损图片的测试案例: 图片:原图 图片:分割出磨损的刃面 图片:分割出磨损的横刃 github源码地址:facebookresearch/segment-anything 官方网站体验地址:segment-anything.com/demo...
SAM2是Meta基于SAM提出的一种实时图像和视频分割模型。SAM2适用于图像和视频。而SAM的先前版本是专门为图像使用而构建的。本例程对SAM2官方开源仓库的模型和算法进行移植,使之能在SOPHON BM1684X/BM1688上进行推理测试。 2. 特性 2.1 目录结构说明 ./SAM2 ├── docs │ └── export_bmodel.md #...