Ini ialah apl Linux bernama Depth Pro yang keluaran terbarunya boleh dimuat turun sebagai ml-depth-prosourcecode.tar.gz. Ia boleh dijalankan dalam talian dalam penyedia pengehosan percuma OnWorks untuk stesen kerja.
Download and run online this app named Depth Pro with OnWorks for free.
Ikut arahan ini untuk menjalankan apl ini:
- 1. Memuat turun aplikasi ini dalam PC anda.
- 2. Masukkan dalam pengurus fail kami https://www.onworks.net/myfiles.php?username=XXXXX dengan nama pengguna yang anda mahukan.
- 3. Muat naik aplikasi ini dalam pengurus filem tersebut.
- 4. Mulakan OnWorks Linux dalam talian atau emulator dalam talian Windows atau emulator dalam talian MACOS dari tapak web ini.
- 5. Daripada OS Linux OnWorks yang baru anda mulakan, pergi ke pengurus fail kami https://www.onworks.net/myfiles.php?username=XXXX dengan nama pengguna yang anda mahukan.
- 6. Muat turun aplikasi, pasang dan jalankan.
SKRIN
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Depth Pro
DESCRIPTION
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.
Ciri-ciri
- 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
Bahasa Pengaturcaraan
Python
Kategori
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.
