BLOBs
Analysis of gray scale images containing gaussian shaped blobs.
Blobs should not overlap in 2d, but may overlap in projection.
Entry point is blobs.find_blobs().
from image_blobs import find_blobs
from image_blobs.util import make_image, show_features
shape = (100, 200) # 200x100
Fs = [
# X Y W H A IDX (ignored as input, unique in output)
(160, 25, 4, 4, 4, 0),
(150, 50, 5, 3, 5, 0),
( 40, 25, 4, 4, 3, 0),
(100, 50, 4, 4, 2.5, 0),
]
print('Actual')
print(Fs)
img = make_image(shape, Fs, dtype='u1')
features = find_blobs(img)
print('Computed (order may differ)')
print(features)
show_features(img, features, sigma=3)
Metadata
Release files for image-blobs 0.1.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| image-blobs-0.1.0.tar.gz | 4.5 kB | Without provenance | Details for image-blobs-0.1.0.tar.gz |
Release files / image-blobs-0.1.0.tar.gz
| Download URL | image-blobs-0.1.0.tar.gz |
|---|---|
| Size | 4.5 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
b20fdc8fa46a5555e99f2a2b61233cfc05136bdf880a3fb470a940e967a585bf
|
|
BLAKE2b-256 checksum How to use checksums |
6c6aec4e5b901bb48ea2ba9bf991edc059faf9b1c2881eca596f1a63305e6a9c
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/1.13.0 pkginfo/1.4.2 requests/2.21.0 setuptools/40.8.0 requests-toolbelt/0.8.0 tqdm/4.28.1 CPython/3.7.3
|
Security for image-blobs 0.1.0
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
No provenance found
None of the files in this release were uploaded with provenance metadata.
A note on package security
PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.
To learn more about protecting yourself from malicious actors, visit our package security documentation.