endocal is a cross-platform, compact GUI application for the optical distortion calibration of fluid-immersed endoscopes.
Project description
endocal is a cross-platform, compact GUI application for the optical distortion calibration of fluid-immersed endoscopes.
endocal was developed by Dzhoshkun I. Shakir as part of the GIFT-Surg project (http://www.gift-surg.ac.uk) at the Translational Imaging Group in the Centre for Medical Image Computing at University College London (UCL). See the endocal home-page on GitHub for features and manual.
Copyright (c) 2016, University College London. This work was supported through an Innovative Engineering for Health award by the Wellcome Trust [WT101957], the Engineering and Physical Sciences Research Council (EPSRC) and a National Institute for Health Research Biomedical Research Centre UCLH/UCL High Impact Initiative.
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file endocal-16.8.8.tar.gz.
File metadata
- Download URL: endocal-16.8.8.tar.gz
- Upload date:
- Size: 1.4 MB
- Tags: Source
- Uploaded using Trusted Publishing? No
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
2b3ef63eac61aab975c53689f20648761b2105382308cbfa0628f91b6ca14802
|
|
| MD5 |
6a3a176eeffc499dc861e88256aae449
|
|
| BLAKE2b-256 |
1bc0026891ed10a17056684f2e6649ecc87b524a95ddff7f49e5453c406e07c0
|
File details
Details for the file endocal-16.8.8-py2.py3-none-any.whl.
File metadata
- Download URL: endocal-16.8.8-py2.py3-none-any.whl
- Upload date:
- Size: 1.4 MB
- Tags: Python 2, Python 3
- Uploaded using Trusted Publishing? No
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
d28f3be43d7f7f76f83ee5f94f91421ede096af038c70cef8c9b355902af4db6
|
|
| MD5 |
147ff991f06410de8bc5cd187bfcb40d
|
|
| BLAKE2b-256 |
45e8a39a8b211ed17a379f0d09eaffed87ec11ebc70868209e133ffda6b5ab47
|