This is the Linux app named Segment Anything whose latest release can be downloaded as segment-anythingsourcecode.tar.gz. It can be run online in the free hosting provider OnWorks for workstations.
Download and run online this app named Segment Anything with OnWorks for free.
Siga estas instruções para executar este aplicativo:
- 1. Baixe este aplicativo em seu PC.
- 2. Entre em nosso gerenciador de arquivos https://www.onworks.net/myfiles.php?username=XXXXX com o nome de usuário que você deseja.
- 3. Carregue este aplicativo em tal gerenciador de arquivos.
- 4. Inicie o emulador OnWorks Linux online ou Windows online ou emulador MACOS online a partir deste site.
- 5. No sistema operacional OnWorks Linux que você acabou de iniciar, acesse nosso gerenciador de arquivos https://www.onworks.net/myfiles.php?username=XXXXX com o nome de usuário que deseja.
- 6. Baixe o aplicativo, instale-o e execute-o.
SCREENSHOTS
Ad
Segmentar qualquer coisa
DESCRIÇÃO
Segment Anything (SAM) is a foundation model for image segmentation that’s designed to work “out of the box” on a wide variety of images without task-specific fine-tuning. It’s a promptable segmenter: you guide it with points, boxes, or rough masks, and it predicts high-quality object masks consistent with the prompt. The architecture separates a powerful image encoder from a lightweight mask decoder, so the heavy vision work can be computed once and the interactive part stays fast. A bundled automatic mask generator can sweep an image and propose many object masks, which is useful for dataset bootstrapping or bulk annotation. The repository includes ready-to-use weights, Python APIs, and example notebooks demonstrating both interactive and automatic modes. Because SAM was trained with an extremely large and diverse mask dataset, it tends to generalize well to new domains, making it a practical starting point for research and production annotation tools.
Recursos
- Promptable segmentation from points, boxes, or coarse masks
- Fast mask decoder on top of a precomputed image embedding
- Automatic mask generation for exhaustive object proposals
- Pretrained checkpoints and simple Python inference APIs
- Example notebooks and scripts for interactive annotation workflows
- Outputs in common formats for easy integration into labeling tools
Categorias
This is an application that can also be fetched from https://sourceforge.net/projects/segment-anything.mirror/. It has been hosted in OnWorks in order to be run online in an easiest way from one of our free Operative Systems.
