Visualise brainreg registration output in standard space
Project description
napari-brainreg-standard
Visualise brainreg registration output in napari
Based on the napari cookiecutter plugin template and napari-ndtiffs by @tlambert03
Installation
Assuming you already have napari installed, you can install napari-brainreg-standard via pip:
pip install napari-brainreg-standard
Usage
Open napari and drag your brainreg output directory (the one with the log file) onto the napari window.
Various images should then open, including:
Image (downsampled)- the image used for registrationAnnotations- the atlas labels
If you downsampled additional channels, these will also be loaded.
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 napari-brainreg_standard-0.0.3.tar.gz.
File metadata
- Download URL: napari-brainreg_standard-0.0.3.tar.gz
- Upload date:
- Size: 11.3 MB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.2.0 pkginfo/1.5.0.1 requests/2.24.0 setuptools/49.6.0 requests-toolbelt/0.9.1 tqdm/4.48.2 CPython/3.8.5
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
7c3ee82c2ea6df9ce7cf4a5421f8ef3fc02b19ae8c64c301afa87d6de6241691
|
|
| MD5 |
0a32ec8139b541eedf4d9a6c3ed5fff9
|
|
| BLAKE2b-256 |
42993bed34e283ccd99a02c19d48791c1099894889364188f87f0f891198d46e
|
File details
Details for the file napari_brainreg_standard-0.0.3-py3-none-any.whl.
File metadata
- Download URL: napari_brainreg_standard-0.0.3-py3-none-any.whl
- Upload date:
- Size: 5.8 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.2.0 pkginfo/1.5.0.1 requests/2.24.0 setuptools/49.6.0 requests-toolbelt/0.9.1 tqdm/4.48.2 CPython/3.8.5
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
195c810f99d6515bb7c9d17f8a04a95b5b5df4756d3757dc74530b263ee198fd
|
|
| MD5 |
d5940678bfa07f512d4a594ec9e133d9
|
|
| BLAKE2b-256 |
a53f2eb0c7db84a69098f0a4df36305e365a7f4e78c3e4ad7a75796265d41099
|
