Img 1 The webpage provides a solution to resize images while maintaining their aspect ratio using various programming techniques
I m processing images the output pixels are float32 and values are in range 1 1 The thing is when saving using openCV all negative data and float values are lost I only get images with 0 or 1 values So I need to convert those images to 0 255 Int8 I ve tried img 255 but doing this does not help with negative values While the python code img markers 1 255 0 0 is more readable it has to at the end of the day loop through the indices of markers check what the value is evaluate the conditional and assign the value when that evaluation is True
Img 1
Img 1
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Exactly what you have to load and encode import cv2 import numpy as np img cv2 imread image2 jpg 0 img str cv2 imencode jpg img 1 Now lets flatten the image array and see the first 10 pixels I use a random image I had in my drive Is there any way to render a default image in an HTML lt img gt tag in case the src attribute is invalid using only HTML If not what would be your lightweight way to work around it
You don t need to convert NumPy array to Mat because OpenCV cv2 module can accept NumPyarray The only thing you need to care for is that 0 1 is mapped to 0 255 and any value bigger than 1 in NumPy array is equal to 255 Ask questions find answers and collaborate at work with Stack Overflow for Teams Try Teams for free Explore Teams
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The webpage provides a solution to resize images while maintaining their aspect ratio using various programming techniques

https://stackoverflow.com › questions
I m processing images the output pixels are float32 and values are in range 1 1 The thing is when saving using openCV all negative data and float values are lost I only get images with 0 or 1 values So I need to convert those images to 0 255 Int8 I ve tried img 255 but doing this does not help with negative values

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