ImageCS-Utils

Some useful utils for deep learning (PyTorch) image compressive sensing (CS).

Project Url

python -m pip install imageCS-utils

e.g.

import torch
from imageCS_utils.utils import load_single_image
x = load_single_image("./image.png")

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution for imageCS_utils 2025.7.9
File	Size	Uploaded
imagecs_utils-2025.7.9.tar.gz	62.2 kB	Jul 10, 2025	Details

Table of built distributions (wheels) for imageCS_utils 2025.7.9
File	Interpreter	ABI	Platform	Reset
imagecs_utils-2025.7.9-py3-none-any.whl 74.7 kB Jul 10, 2025	Python 3	none	any	Details

Total release size: 136.9 kB

Download URL	imagecs_utils-2025.7.9.tar.gz
Size	62.2 kB
Tags	Source
SHA-256 checksum How to use checksums	`cd0325706799dfb6d7338c089e6710b9218f76f0e54b8b8124f321a0022fecc0`
BLAKE2b-256 checksum How to use checksums	`485ee7531fb144efef7e131bef97b8f361e63523ff0e8cca6df625d75e0142df`
Upload date	Jul 10, 2025
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`uv/0.7.3`

Download URL	imagecs_utils-2025.7.9-py3-none-any.whl
Size	74.7 kB
Tags	Python 3
SHA-256 checksum How to use checksums	`d72e7ec742de813512d960da1146861780fb9afb20d2f168ffc3df5f668b3e7f`
BLAKE2b-256 checksum How to use checksums	`76678e1e32bf562595772211bfc4ab569bc3cae769b5ff6ae49ee20983d011fc`
Upload date	Jul 10, 2025
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`uv/0.7.3`