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  1. 15. Dez. 2021 · Definition. Die Abkürzung SAM hat in der Medizin verschiedene Bedeutungen: S-Adenosylmethionin. Systolic Anterior Movement. Segmentale arterielle Mediolyse. Stichworte: Abkürzung. Fachgebiete: Terminologie. BY-NC-SA.

  2. Ab November 2022 löst das neue Campus-Management-System S.A.M. die Online-Portale Campus4u und Finca ab. Studierende, Lehrende und Beschäftigte verwalten Studierendendaten, Lehrveranstaltungen und Prüfungen künftig digital mit S.A.M. Die unterschiedlichen Funktionen des Systems für Study Adminstration Managment, kurz S.A.M., werden ...

    • Overview
    • Installation
    • Getting Started
    • ONNX Export
    • Model Checkpoints
    • Dataset
    • License
    • Contributing
    • Contributors
    • Citing Segment Anything
    • GeneratedCaptionsTabForHeroSec

    Meta AI Research, FAIR

    Alexander Kirillov, Eric Mintun, Nikhila Ravi, Hanzi Mao, Chloe Rolland, Laura Gustafson, Tete Xiao, Spencer Whitehead, Alex Berg, Wan-Yen Lo, Piotr Dollar, Ross Girshick

    [Paper] [Project] [Demo] [Dataset] [Blog] [BibTeX]

    The Segment Anything Model (SAM) produces high quality object masks from input prompts such as points or boxes, and it can be used to generate masks for all objects in an image. It has been trained on a dataset of 11 million images and 1.1 billion masks, and has strong zero-shot performance on a variety of segmentation tasks.

    The code requires python>=3.8, as well as pytorch>=1.7 and torchvision>=0.8. Please follow the instructions here to install both PyTorch and TorchVision dependencies. Installing both PyTorch and TorchVision with CUDA support is strongly recommended.

    Install Segment Anything:

    or clone the repository locally and install with

    The following optional dependencies are necessary for mask post-processing, saving masks in COCO format, the example notebooks, and exporting the model in ONNX format. jupyter is also required to run the example notebooks.

    First download a model checkpoint. Then the model can be used in just a few lines to get masks from a given prompt:

    or generate masks for an entire image:

    Additionally, masks can be generated for images from the command line:

    See the examples notebooks on using SAM with prompts and automatically generating masks for more details.

    SAM's lightweight mask decoder can be exported to ONNX format so that it can be run in any environment that supports ONNX runtime, such as in-browser as showcased in the demo. Export the model with

    See the example notebook for details on how to combine image preprocessing via SAM's backbone with mask prediction using the ONNX model. It is recommended to use the latest stable version of PyTorch for ONNX export.

    Three model versions of the model are available with different backbone sizes. These models can be instantiated by running

    Click the links below to download the checkpoint for the corresponding model type.

    •default or vit_h: ViT-H SAM model.

    •vit_l: ViT-L SAM model.

    See here for an overview of the datastet. The dataset can be downloaded here. By downloading the datasets you agree that you have read and accepted the terms of the SA-1B Dataset Research License.

    We save masks per image as a json file. It can be loaded as a dictionary in python in the below format.

    Image ids can be found in sa_images_ids.txt which can be downloaded using the above link as well.

    To decode a mask in COCO RLE format into binary:

    The model is licensed under the Apache 2.0 license.

    See contributing and the code of conduct.

    The Segment Anything project was made possible with the help of many contributors (alphabetical):

    Aaron Adcock, Vaibhav Aggarwal, Morteza Behrooz, Cheng-Yang Fu, Ashley Gabriel, Ahuva Goldstand, Allen Goodman, Sumanth Gurram, Jiabo Hu, Somya Jain, Devansh Kukreja, Robert Kuo, Joshua Lane, Yanghao Li, Lilian Luong, Jitendra Malik, Mallika Malhotra, William Ngan, Omkar Parkhi, Nikhil Raina, Dirk Rowe, Neil Sejoor, Vanessa Stark, Bala Varadarajan, Bram Wasti, Zachary Winstrom

    If you use SAM or SA-1B in your research, please use the following BibTeX entry.

    Segment Anything (SAM) is a model that produces high quality object masks from input prompts such as points or boxes. It can be used for various segmentation tasks and has strong zero-shot performance. See installation, usage, export, and dataset instructions.

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  4. Sam - Ein Sachse. Basierend auf der wahren Geschichte von Sam Meffires Aufstieg und Fall folgt diese Miniserie Sams verzweifelter Suche nach Heimat, seinem Kampf für Anerkennung und Gerechtigkeit.

  5. Sam als Vorname Herkunft, Bedeutung & Namenstag im Überblick Alle Infos zum Namen Sam auf Vorname.com entdecken!

  6. Die erste deutsche Disney-Produktion erzählt vom ersten afrodeutschen Polizisten in Ostdeutschland. Sie basiert auf dem Leben von Samuel Meffire. Malick Bauer als Sam in einer Szene des Films ...

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