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Comfyui+ICLight+FLUX,一键抠图换背景+重打光,进阶篇,SegmentAnythingUltra_V2 442 80 5:53 App 【Stable Diffusion】SD指定部位重绘教程!(附插件)精准控制,超详细的局部重绘讲解!让你轻松做到专业级精准控制局部重绘! 1822 3 16:54 App Comfyui+Animatediff文生视频基础工作流 4059 1 21:46 App [ComfyUI局...
This repository is for the first comprehensive survey on Meta AI's Segment Anything Model (SAM). - GitHub - liliu-avril/Awesome-Segment-Anything: This repository is for the first comprehensive survey on Meta AI's Segment Anything Model (SAM).
2023 年 4 月,Meta 公司发布了 Segment Anything Model (SAM),号称能够「分割一切」,犹如一颗重磅炸弹震荡了整个计算机视觉领域,甚至被很多人看作是颠覆传统 CV 任务的研究。 时隔1 年多,Meta 再度发布里程碑式更新—— SAM 2 能够为静态图像和动态视频内容提供实时、可提示的对象分割,将图像与视频分割功能整合...
Ultralytics 源代码地址:https://github.com/ultralytics/ultralytics.git. SAM 论文地址:https://arxiv.org/abs/2304.02643 SAM2 官方源代码:https://github.com/facebookresearch/segment-anything-2.git SAM2 论文地址:https://ai.meta.com/research/publications/sam-2-segment-anything-in-images-and-vide...
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(1)模型:基于yolov8-seg的模型,具体可以查看ultralytics. (2) 实例分割:yolov8-seg实现了实例分割,结果包含了检测和分割分支。检测分支输出box和类别cls,分割分支输出k(默认为32)个mask分数,检测和分割分支是并行的。看推理代码的模型,这块其实就是yolov8的segment网络,具体可以看yolov8的segment训练代码。
比如,图像分类(2015)、基础阅读理解(2017)、视觉推理(2020)、自然语言推理(2021)、多任务语言理解任务(2024.1, Gemini Ultra)。但是,在复杂认知的任务上,AI仍然不及人类,比如视觉常识推理、竞赛级的数学问题。如下图所示,虚线是人类的水准,其它实线是AI在不同任务下的得分。
The most important of these frameworks are BLIP-2, Dolly v2, GroundingDINO, Segment Anything, and Ultralytics YOLOv8. In this section, we will discuss each of these to give some context to their capabilities in the pipeline. BLIP-2 BLIP-2 can be used for conditional text generation ...
The Segment Anything model (SAM) has brought significant changes to the segmentation field with its superior performance, but its extensive computational resource requirements remain a limiting factor. Many works, such as MobileSAM, Edge-SAM, and MobileSAM-v2, have explored lightweight solutions. How...