RawAnalyser is a simple Python-based tool designed for analyzing raw images. It provides functionality for black and white clipping detection, gamma calculation, and flatness with vignette detection (algolux).
You need to have Python 2.7 installed and the following libraries:
- json
- time
- numpy
- scipy
- pyqt5
- argparse
- argcomplete
- watchdog
- logging
- colorama
- plotly
- matplotlib
- Run the RawAnalyser script:
python RawAnalyser.py <pathfolder> <pointfile> --func <clipping,gamma,vignette,histogram,noHist,basic, default all> --bl <black level, default 1024> --vignette <pathvignette>- Start the GUI:
python GUI.py- Check the value of the pixel and the color with the bayer pattern:
python RawPixel.pt input<file> x y --bitdepth <8,10,16,default 16>A script designed for checking black and white level of clipping in a raw image. You need to provide a path to the folder to be checked and a json file with the region of interest and the gray patches.
The JSON file specifying the region of interest. An example of its structure is as follows:
{
"last_y": 798,
"last_x": 1353,
"gray_first_y": 691,
"gray_first_x": 606,
"first_x": 603,
"first_y": 315,
"gray_last_x": 1347,
"gray_last_y": 795
}A GUI script for image selection. It allows you to select the region of interest and the gray patches in a raw or TIFF file, which are then saved in a JSON file. It also constantly checks for new files in the raw folder.
A script to inspect the value of a specific pixel and determine its color using the Bayer pattern.
A script for converting 20-megapixel images to 5-megapixel images, specifically designed for the new OV20880 sensor.
Example of camera sensor information:
Camera: OV2740
Resolution: (1088, 1928)
ImageType: BINARY16U
Sensor value: 10 bit
Bayer pattern: 'bggr'
This tool provides a simple and efficient way to analyze raw images, making it a vital part of any image processing workflow.