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Map-Anything download for Linux

Free download Map-Anything Linux app to run online in Ubuntu online, Fedora online or Debian online

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.

Volg deze instructies om deze app uit te voeren:

- 1. Download deze applicatie op uw pc.

- 2. Voer in onze bestandsbeheerder https://www.onworks.net/myfiles.php?username=XXXXX in met de gebruikersnaam die u wilt.

- 3. Upload deze applicatie in zo'n bestandsbeheerder.

- 4. Start de OnWorks Linux online of Windows online emulator of MACOS online emulator vanaf deze website.

- 5. Ga vanuit het OnWorks Linux-besturingssysteem dat u zojuist hebt gestart naar onze bestandsbeheerder https://www.onworks.net/myfiles.php?username=XXXXX met de gewenste gebruikersnaam.

- 6. Download de applicatie, installeer hem en voer hem uit.

SCREENSHOTS

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Kaart-Alles


PRODUCTBESCHRIJVING

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.



Kenmerken

  • 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


Programmeertaal

Python


Categorieën

AI-modellen

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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