A machine learning pipeline for detecting spatially extended, diffuse emission in multi-band broadband imaging.
Metadata
Release files for pyBIA 1.51
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| pybia-1.51.tar.gz | 113.7 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| pybia-1.51-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 230.6 kB
Release files / pybia-1.51.tar.gz
| Download URL | pybia-1.51.tar.gz |
|---|---|
| Size | 113.7 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
4a6e8a92acc13214933d816ccb9ed4dd64b6c9e8726acc13c5589c3a855c3655
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BLAKE2b-256 checksum How to use checksums |
a2d81ea275a70aaf93e42d86565eeddbf7e411f5122ca38c8da9b4b794e856af
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| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.1.0 CPython/3.9.11
|
Release files / pybia-1.51-py3-none-any.whl
| Download URL | pybia-1.51-py3-none-any.whl |
|---|---|
| Size | 116.9 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
ffb0cb0e8351e96357e4b5e7eac27795c729c6832f67f9305a9ea0dea85be131
|
|
BLAKE2b-256 checksum How to use checksums |
86debfc11ddb2717000e90cdeb4d7c24b85ba014ba2901cb8e867cb7285bd1a5
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| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.1.0 CPython/3.9.11
|