继于今年4月发布可用来分割图像对象的Segment Anything Model（SAM）之后，Meta周一（7/29）发布Segment Anything Model 2（SAM 2），并将 ...

In this tutorial, we’ll recreate this effect programmatically using open-source computer vision models, like SAM2 from Meta and MiDaS from Intel ISL. To initialize the model ... ("off") plt.subplot(1, ...

该项目旨在对SAM进行微调，利用Adaption方法优化。SAM代表“Segment Anything Model”，即“分割任何事物模型”，是一个强大的图像分割工具。这个适配器项目通过特定的调整，使SAM能够更好地适用于医学图像分析。包含一个链接到Discord社区的徽章，以及项目的许可证 ...

Meta的视频版分割一切——Segment Anything Model 2（SAM 2），又火了一把。 因为这一次，一个全华人团队，仅仅是用了个经典方法，就把它的能力拔到了一个新高度—— 任你移动再快，AI跟丢不了一点点！ 例如在电影《1917》这段画面里，主角穿梭在众多士兵之中 ...

Meta has introduced SAM, an AI model that can cut out anything from an image, and released the SA-1B dataset. SAM is short for Segment Anything Model.

Abstract: The Segment Anything Model (SAM) has demonstrated remarkable capability as a general segmentation model given visual prompts such as points or boxes. While SAM is conceptually compatible ...

Abstract: Segment Anything Model (SAM) is drastically accelerating the speed and accuracy of automatically segmenting ... reducing roughly 20 hours of manual labeling, to only 2.4 hours. This ...

In a recent blog post, Meta’s research section said that it had created a powerful object identification model known as the Segment Anything Model. (SAM). The SAM model is designed to identify things ...