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results = SegManualMaskPredictor().image_predict( source="C:\software\sam_checkpoint\3515.jpg", model_type="vit_h", # vit_l, vit_h, vit_b input_point=[[548, 1031], [1121, 769]], input_label=[0, 1], input_box=[229, 684, 800, 800], # or [[100, 100, 200, 200], [100...
Segment Anything 2 for Surgical Video Segmentation 是一个基于Segment Anything Model 2的手术视频分割模型。它利用先进的计算机视觉技术,对手术视频进行自动分割,以识别和定位手术工具,提高手术视频分析的效率和准确性。该模型适用于内窥镜手术、耳蜗植入手术等多种手术场景,具有高精度和高鲁棒性的特点。
We propose a novel model (VP-SAM) adapted from segment anything model (SAM) for video polyp segmentation (VPS), which isa challenging task due to (1) the low contrast between polypsand background and (2) the large frame-to-frame variations ofpolyp size, position, and shape. Our aim is...
Surgical video segmentation is a critical task in computer-assisted surgery and is vital for enhancing surgical quality and patient outcomes. Recently, the Segment Anything Model 2 (SAM2) framework has shown superior advancements in image and video segmentation. However, SAM2 struggles with efficiency...
[Efficient Track Anything]: Segment Anything Model 2 (SAM 2) has emerged as a powerful tool for video object segmentation and tracking anything. Key components of SAM 2 that drive the impressive video object segmentation performance include a large multistage image encoder for frame feature extract...
We propose a novel model (VP-SAM) adapted from segment anything model (SAM) for video polyp segmentation (VPS), which isa challenging task due to (1) the l... Z Fang,Y Liu,H Wu,... - European Conference on Computer Vision 被引量: 0发表: 2025年 Taming the data deluge: A novel ...
The segment anything model (SAM) was released as a foundation model for image segmentation. The promptable segmentation model was trained by over 1 billion... R Deng,C Cui,Q Liu,... - 《Arxiv》 被引量: 0发表: 2023年 The potential of 'Segment Anything' (SAM) for universal intelligent...
Zero-Shot Surgical Tool Segmentation in Monocular Video Using Segment Anything Model 2 The Segment Anything Model 2 (SAM 2) is the latest generation foundation model for image and video segmentation. Trained on the expansive Segment Anything ... A Lou,Y Li,Y Zhang,... 被引量: 0发表: 2024...
Track-Anything is a flexible and interactive tool for video object tracking and segmentation, based on Segment Anything, XMem, and E2FGVI. - Segment-Anything/Track-Anything