Description
Modular computer vision library developed by the PCR-UPM group for high-performance image processing tasks. Designed with research and engineering in mind, the framework provides reusable components for image preprocessing, and model evaluation. It is built on top of widely adopted libraries such as OpenCV, NumPy, and Rasterio.
System Requirements
This package requires GDAL. It is recommended to install it using Conda:
conda install -c conda-forge gdal
1 maintainer
Metadata
1 maintainer
Release files for pcr-framework 2026.9.16
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| pcr_framework-2026.9.16.tar.gz | 626.2 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| pcr_framework-2026.9.16-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 687.6 kB
Release files / pcr_framework-2026.9.16.tar.gz
| Download URL | pcr_framework-2026.9.16.tar.gz |
|---|---|
| Size | 626.2 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
26f1c0ca2463dc5d7927813ef71c44185cf32ce425fc217cefb00ee3bd334263
|
|
BLAKE2b-256 checksum How to use checksums |
4417de5c0b151ed2ad924568aadc082d27bee55fe882f8fe7fa5a97de2122893
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.2.0 CPython/3.9.12
|
Release files / pcr_framework-2026.9.16-py3-none-any.whl
| Download URL | pcr_framework-2026.9.16-py3-none-any.whl |
|---|---|
| Size | 61.4 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
e94510026248288f0435b478ef887987fe2c4315e32cc96200b655789c579da0
|
|
BLAKE2b-256 checksum How to use checksums |
ab7e39a328dd95439f65aea9b56b3cca1f66ee0ff5de5719727a5dc2415b7e86
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.2.0 CPython/3.9.12
|
