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  • Rank 299,923 (Top 6 %)
  • Language
    Python
  • Created about 3 years ago
  • Updated 3 months ago

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Repository Details

Photogrammetry Web API

OpenScanCloud

Photogrammetry Web API

Overview / Outline:

The OpenScan Cloud is intended to be a decentralized, open and free photogrammetry web API.

The API can be used as a great addition to existing photogrammetry rigs like the OpenScan Mini or Classic but also any other rig. The only things needed to start a reconstruction are a user-specific token and of course an image set (preferably as a zip file).

Note that the application is totally free (and hopefully I can keep it free/donation-based in the future). Your data will be transferred through Dropbox and stored/processed on my local servers. I will use those image sets and resulting 3d models for further research, but none of your data will be published without your explicit consent!

If you like the project, feel free to support my work on Patreon

Thank you :)

Current functionality / desktop uploader for Windows ( Download ZIP)

  • updated 2022-05-12

image

Enter your token

image

Select your folder and upload the photos to the OpenScanCloud

The Uploader is a standalone .exe, which should be able to run on any Windows machine. It allows you to select either a folder containing images and uploading those to the OpenScanCloud. All you need is an individual token (apply by email to [email protected]) and some images. Note, that the program will create a temporary folder and an additional .txt file containing the token in the same directory as the .exe file.

SourceCode (Python)

Current functionality / Beta Firmware for OpenScan Classic & Mini

Uploading through the firmware can be done with one click and has been implemented in all recent firmware versions. See Github-OpenScan2 for more details

Current functionality / python uploader (See Sourecode)

The python script can be a starting point to create your own solution. Currently you only need to change a handful of parameters at the beginning of the file. Note, that the 'requests' module is needed (pip install requests)

Current functionality / http endpoints

Please feel free to add your thoughts on the design. Currently I implemented the following http endpoints:

  • /createProject(token, project, photos, parts, filesize)

Calling this endpoint will initialize a project of a given project name, consisting of a certain number of photos, split into x parts and having a total filesize. If a project is larger then 200Mb it needs to be split into several parts as this is the current upload endpoints filesize limit.

If successful it will return statuscode 200 + {'status':'created', 'ulink':[list of uploadlinks], 'credit':credit_used} , where the uploadlinks are valid for 4 hours.

  • /startProject(token, project)

Once a project is created and all part(s) are successfully uploaded, it is necessary to initialize the processing of the image set by calling this endpoint, which will return {'status':'started'}

  • /getProjectInfo(token, project)

Calling this endpoint will return {'dlink':downloadlink, 'status':status, 'ulink':uploadlinks}.

  • /getTokenInfo(token)

Will return credit, limit_filesize and limit_photos for the given token.

Token and credit system

Credit

Credit will be used to monitor the overall usage of processing ressources. The credit value is bound to each token.

Tokens

  • Private Token This token is bound to an individual and certain details (forename and surname and email address) in order to allow additional features, like email alerts and individual support. At the current stage, the image sets submitted will be used for internal research and testing. No images/3d models will be published.

Changelog

  • 2022-05-11 changed Readme.md, removed beta firmware (as this has been implemented in the main branch See Github-OpenScan2 for more details)
  • 2021-12-20 added Texture to the 3d model + improved firmware
  • 2021-10-11 added Beta Firmware for OpenScanPi
  • 2021-10-08 added a Windows Uploader GUI in /uploader