Computer vision software for the interpretation of diffraction images
Project description
darfix
darfix is a Python library for the analysis of dark-field microscopy data. It provides a series of computer vision techniques, together with a graphical user interface and an Orange3 add-on to define the workflow.
Getting started
pip install darfix[full]
Then, launch the Orange canvas with
darfix
Drag widgets from the left panel to the canvas to start making your workflow.
See https://darfix.readthedocs.io/en/stable/#installation for more infos and Troubleshooting.
Documentation
The documentation of the latest release is available at https://darfix.readthedocs.io
User guide
A user guide can be downloaded at https://darfix.readthedocs.io/en/latest/user_guide.html
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 darfix-5.0.0.tar.gz.
File metadata
- Download URL: darfix-5.0.0.tar.gz
- Upload date:
- Size: 10.2 MB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.2.0 CPython/3.12.10
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
bb8c1cd006e06e47fb55543520ffa5345c6103d5e8de7c8dafd4a7903bae3d0b
|
|
| MD5 |
fabdf205896902f768b05f5d4d479661
|
|
| BLAKE2b-256 |
118e275159fa3ca3ab26fd55e502200f89df997295d1e5be138a71779dc54f12
|
File details
Details for the file darfix-5.0.0-py3-none-any.whl.
File metadata
- Download URL: darfix-5.0.0-py3-none-any.whl
- Upload date:
- Size: 10.5 MB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.2.0 CPython/3.12.10
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
0cc34648b59cbdac95e0c2b978e12e38206591a6d8a160300b5b642130fd9163
|
|
| MD5 |
959d67b9869e32a5a66dce27becea5d8
|
|
| BLAKE2b-256 |
0f75be3b209f41942591bfb3d4ce7c687967a3845b2ff8270430d661673c8c81
|
