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 2025.7.10
File	Size	Uploaded
imagecs_utils-2025.7.10.tar.gz	62.2 kB	Jul 10, 2025	Details

Table of built distributions (wheels) for imageCS_utils 2025.7.10
File	Interpreter	ABI	Platform	Reset
imagecs_utils-2025.7.10-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-2025.7.10.tar.gz
Size	62.2 kB
Tags	Source
SHA-256 checksum How to use checksums	`10c41ae9548b2aaf5e38004f58d977ccf517c599eecc92c16b81d2fc91a3e02d`
BLAKE2b-256 checksum How to use checksums	`17a256f3383880faa4096179ad2c1ce27273cbb4760149fe86fbd0be7e650744`
Upload date	Jul 10, 2025
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`uv/0.7.3`

Download URL	imagecs_utils-2025.7.10-py3-none-any.whl
Size	74.7 kB
Tags	Python 3
SHA-256 checksum How to use checksums	`bb2cd79a83f0415cf7056599e12440b19361de8dff17492595ea86954aee3b90`
BLAKE2b-256 checksum How to use checksums	`e3492e457e79d005ba434aafa53259571541dfaeb8efd859d758c8aa33f7f065`
Upload date	Jul 10, 2025
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`uv/0.7.3`