Node.js API for a photogrammetry service based on Meshroom photogrammetry by AliceVision. Platform Support: Currently, only the Windows version of libraries is supported.
- Node.js: Required to run the API.
- FFmpeg: Required for frame extraction from the videos.
- Meshroom: Meshroom-2023.2.0 is used for feature extraction, image matching, sparse cloud creation, and meshing.
- MeshLab: Used for post-processing of the mesh. (currently not implemented)
- apache: webserver to server frontend
- install all required libraries from the Require libraries section
- start node server instance of the project foler after installing the project package with "npm install"
- install a nvidia gpu into your system if you have one, and at the moment only windows is suported since a lot of libraries use wrapper files while starting subprocesses
- install a webserver (XAMPP)
- change document root to the root of the project
- start webserver and nodejs instance of the project with "npm start"
- load webpage that is now being hosted
- enjoy
- "/": Provides a debug file upload interface.
- "/upload": Allows you to upload video files and get an MD5 hash of the video file, which acts as a job ID.
- "/status": Lists all queued jobs.
- "/getModel": Retrieves the output of a specific job after it's finished, provided the MD5 hash of the video file is supplied.
Uploaded videos will be saved in the '/jobs' folder to be processed by the pipeline.
- add quality setting to the upload endpoint so that the quality of the model (number of frames used) can be tweaked
- add meshlab postprocessing
- add small database for running processes instead of storing them in memory
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