Map-Anything download for Linux

This is the Linux app named Map-Anything whose latest release can be downloaded as map-anythingsourcecode.tar.gz. It can be run online in the free hosting provider OnWorks for workstations.

 
 

Download and run online this app named Map-Anything with OnWorks for free.

Urmați aceste instrucțiuni pentru a rula această aplicație:

- 1. Ați descărcat această aplicație pe computer.

- 2. Introduceți în managerul nostru de fișiere https://www.onworks.net/myfiles.php?username=XXXXX cu numele de utilizator pe care îl doriți.

- 3. Încărcați această aplicație într-un astfel de manager de fișiere.

- 4. Porniți emulatorul online OnWorks Linux sau Windows online sau emulatorul online MACOS de pe acest site web.

- 5. Din sistemul de operare OnWorks Linux pe care tocmai l-ați pornit, accesați managerul nostru de fișiere https://www.onworks.net/myfiles.php?username=XXXXX cu numele de utilizator dorit.

- 6. Descărcați aplicația, instalați-o și rulați-o.

CAPTURĂ DE ECRAN:


Hartă-Orice


DESCRIERE:

Map-Anything is a universal, feed-forward transformer for metric 3D reconstruction that predicts a scene’s geometry and camera parameters directly from visual inputs. Instead of stitching together many task-specific models, it uses a single architecture that supports a wide range of 3D tasks—multi-image structure-from-motion, multi-view stereo, monocular metric depth, registration, depth completion, and more. The model flexibly accepts different input combinations (images, intrinsics, poses, sparse or dense depth) and produces a rich set of outputs including per-pixel 3D points, camera intrinsics, camera poses, ray directions, confidence maps, and validity masks. Its inference path is fully feed-forward with optional mixed-precision and memory-efficient modes, making it practical to scale to long image sequences while keeping latency predictable.



Categorii

  • One feed-forward transformer that covers >10 reconstruction tasks
  • Multi-modal inputs (images, calibration, poses, depth) with unified APIs
  • Dense metric outputs: 3D points, depth (z and along-ray), intrinsics, poses, ray directions, confidence and masks
  • Turnkey demos plus exporters to COLMAP and Gaussian splatting pipelines
  • Mixed-precision and memory-efficient inference for long sequences
  • Modular “building blocks” (UniCeption, WAI) to scale data and models


Limbaj de programare

Piton


Categorii

Modele AI

This is an application that can also be fetched from https://sourceforge.net/projects/map-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.



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