bgAna - Background Analyzer
Heuristics to get the background color of any image
It's useful when you want to embed image in a bigger frame. This can be used to determine the color of the bigger frame.
Showcase
How to Use
It supports python 3.5 3.6 3.7 and most possibly future versions
pip install bgAna
from bgAna import analyze_bg
img = cv2.imread('/home/matt/studyResource/.secretWeebFolder/waifu_no_435.jpg')
res = analyze_bg(img) # caution: color is in BGR
>>> print(type(res), res)
np.ndarray [125,125,125]
It also creates command line executable entry point by default
You should be able to run the following commands anywhere.
-
$ bgAna thonk.png- output:
(125, 125, 125)
- output:
-
$ bgAna -hfor more help
Metadata
Release files for bgAna 0.0.4
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 | |
|---|---|---|---|---|
| bgAna-0.0.4.tar.gz | 5.4 kB | Without provenance | Details |
Release files / bgAna-0.0.4.tar.gz
| Download URL | bgAna-0.0.4.tar.gz |
|---|---|
| Size | 5.4 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
0b67435c931a6651ec6ec34819dab945a6f8d50cb7da2759b75743f8f6e802a2
|
|
BLAKE2b-256 checksum How to use checksums |
f3b299728aabb3f256a7bbf1b82aea232cd8e2ae012d17cab6e819b48c5db004
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/1.13.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/41.0.1 requests-toolbelt/0.9.1 tqdm/4.32.2 CPython/3.6.7
|
Security for bgAna 0.0.4
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.