Computer Vision I/O
This python package, Computer Vision I/O which is knwon as cv_io, is a collection of existing python scripts which provides a set of I/O functions for normal and irregular image formats in computer vision.
File Format Support
| File format | Desciption |
|---|---|
| *.png, *.jpg, ... | All normal images |
| *.flo | Middleburry optical flow |
| *.dpt | Middleburry floating point depth |
| *.pfm | Freiburg floating point disparity |
| *.exr | OpenXR hdr format |
| *.jxr | MicroSoft JPEG-XR hdr format |
Main Fucntions
| Function | Desciption |
|---|---|
| imread (file_name) | Reads an image from "file_name" |
| imwrite (file_name, image) | Saves the "image" array to "file_name" |
| imshow (image) | Displays the "image" array by matplotlib |
| imshow (file_name) | Displays an image file from "file_name" |
Requirements
Package requirement are listed in requirements.txt file and it will be installed through pip isntallation. If you clone the repository you may install requirements manually:
pip install -r requirements.txtInstall as a Python Package
You can also download and install the Simple Image Viewer as a python package by:
python -m pip install cv_io
or simply
pip install cv_io
Then you can simply import it in a python code and use it as follows:
import cv_io
image = cv_io.imread('samples/0512.pfm')
cv_io.imshow(image)
cv_io.imwrite('test.pfm', image)You also have acess to the original libraries like sintel_io through the cv_io as a sub-module:
import cv_io
image = cv_io.sintel_io.depth_read ('samples/frame_0020.dpt')
cv_io.sintel_io.depth_write('test.dpt', image)Copyright © 2020 Saeid Hosseinipoor. Released under the MIT License.
