ampscan
importeddevices/ampscan
ampscan is an open-source Python package for analysis and visualisation of digitised surface scan data, specifically for applications within Prosthetics and Orthotics (P&O), with an aim to improve…
Machine-generated from the listed sources and not yet reviewed by a human.
- Category
- Devices & Hardware
- Subcategory
- unknown
- License
- MIT(osi)
- Status
- dormant
- Maturity
- deployed
- Organization
- abel-research
- Country
- unknown
- Repository
- github.com/abel-research/ampscan
- Documentation
- unknown
- Tags
- 3d-models · 3d-scanning · numpy · prosthetics · python · southampton · visualisation · vtk
- Regulatory
- unknown
Top contributors by commit count, from the project’s public repository. Avatars are served by their origin, not stored here. To be removed from this list, open an issue.
Computed from shared tags, weighted so a rare tag counts for more than a common one. These are suggestions, not curated relationships.
- ampscan_webapp3d-scanning · prosthetics · southampton · vtk
A web interface for AmpScan with tools for analysis and visualisation of digitised surface scan data for applications within Prosthetics and Orthotics (P&O)
- OpenLimbTT3d-scanning · prosthetics
An Open-Source, synthetic transtibial residual limb anatomic dataset
- Smartphone_FPM3d-models
A Smartphone-based Fourier Ptychographic Microscope Using the Display Screen for Illumination
- 3D Slicervisualisation
Desktop platform for medical image visualisation, segmentation, registration, and image-guided therapy research.
- brainglobe-atlasapivisualisation
A Python interface to access neuroanatomical atlases
- medicaldetectiontoolkit3d-models
The Medical Detection Toolkit contains 2D + 3D implementations of prevalent object detectors such as Mask R-CNN, Retina Net, Retina U-Net, as well as a training and inference framework focused on…
- api.github.com/repos/abel-research/ampscanretrieved 2026-08-05 · via github-api
Machine-imported from GitHub search. Last push 2023-04-02, 25 stars, license reported as MIT. Category and schematic were assigned by keyword heuristics and are unreviewed.
Not yet verified by a human. Correct this record →
/v1/entries/52.json→ .entries["ampscan"]
Entries are sharded 64 ways by a stable hash of the id, so a consumer can find any record without an index.