From fa2e8fc71d315a04e10b29000778ed4302660fdf Mon Sep 17 00:00:00 2001 From: Laughing <61612323+Laughing-q@users.noreply.github.com> Date: Thu, 1 Aug 2024 23:07:08 +0800 Subject: [PATCH] Update SAM 2 docs (#14864) --- docs/en/models/sam-2.md | 8 -------- 1 file changed, 8 deletions(-) diff --git a/docs/en/models/sam-2.md b/docs/en/models/sam-2.md index 001bd89b..ef76f8a3 100644 --- a/docs/en/models/sam-2.md +++ b/docs/en/models/sam-2.md @@ -6,10 +6,6 @@ keywords: SAM 2, Segment Anything, video segmentation, image segmentation, promp # SAM 2: Segment Anything Model 2 -!!! Note "🚧 SAM 2 Integration In Progress 🚧" - - The SAM 2 features described in this documentation are currently not enabled in the `ultralytics` package. The Ultralytics team is actively working on integrating SAM 2, and these capabilities should be available soon. We appreciate your patience as we work to implement this exciting new model. - SAM 2, the successor to Meta's [Segment Anything Model (SAM)](sam.md), is a cutting-edge tool designed for comprehensive object segmentation in both images and videos. It excels in handling complex visual data through a unified, promptable model architecture that supports real-time processing and zero-shot generalization. ![SAM 2 Example Results](https://github.com/facebookresearch/segment-anything-2/raw/main/assets/sa_v_dataset.jpg?raw=true) @@ -105,10 +101,6 @@ pip install ultralytics ## How to Use SAM 2: Versatility in Image and Video Segmentation -!!! Note "🚧 SAM 2 Integration In Progress 🚧" - - The SAM 2 features described in this documentation are currently not enabled in the `ultralytics` package. The Ultralytics team is actively working on integrating SAM 2, and these capabilities should be available soon. We appreciate your patience as we work to implement this exciting new model. - The following table details the available SAM 2 models, their pre-trained weights, supported tasks, and compatibility with different operating modes like [Inference](../modes/predict.md), [Validation](../modes/val.md), [Training](../modes/train.md), and [Export](../modes/export.md). | Model Type | Pre-trained Weights | Tasks Supported | Inference | Validation | Training | Export |