Este é o aplicativo Linux chamado Depth Pro, cuja versão mais recente pode ser baixada como ml-depth-prosourcecode.tar.gz. Ele pode ser executado online no provedor de hospedagem gratuita OnWorks para estações de trabalho.
Download and run online this app named Depth Pro 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
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Profundo Profissional
DESCRIÇÃO
Depth Pro is a foundation model for zero-shot metric monocular depth estimation, producing sharp, high-frequency depth maps with absolute scale from a single image. Unlike many prior approaches, it does not require camera intrinsics or extra metadata, yet still outputs metric depth suitable for downstream 3D tasks. Apple highlights both accuracy and speed: the model can synthesize a ~2.25-megapixel depth map in around 0.3 seconds on a standard GPU, enabling near real-time applications. The repo and research page emphasize boundary fidelity and crisp geometry, addressing a common weakness in monocular depth where edges can blur. Community integrations (e.g., inference wrappers and UI nodes) have sprung up around the model, reflecting practical interest in video, AR, and generative pipelines. As a general-purpose monocular depth backbone, Depth Pro slots into 3D reconstruction, relighting, and scene understanding workflows that benefit from metric predictions.
Recursos
- Zero-shot metric depth with absolute scale
- High-resolution, sharp depth maps with strong boundary detail
- No camera intrinsics required for inference
- ~0.3s per 2.25MP image on a standard GPU
- Ready for 3D, AR, and video post-processing pipelines
- Community integrations for faster adoption and tooling
Linguagem de Programação
Python
Categorias
This is an application that can also be fetched from https://sourceforge.net/projects/depth-pro.mirror/. It has been hosted in OnWorks in order to be run online in an easiest way from one of our free Operative Systems.
