Generally, images have three colors channels Red, Green, and Blue (RGB) which produces the colors in the pixel. Before diving into this, first let’s learn how colors in images are represented. Something’s strange about this figure above. image_path = 'dog2.JPG' def plt_display(image, title): fig = plt.figure() a = fig.add_subplot(1, 1, 1) imgplot = plt.imshow(image) a.set_title(title) image = cv2.imread(image_path) plt_display(image, 'cv2-BGR') %tensorflow_version 1.x import cv2 import matplotlib.pyplot as plt import numpy as np from skimage import io import tensorflow as tf We’ll import a few essential libraries in python. We’ll start with opening a simple JPEG image of a dog with two frameworks Tensorflow 1.x and OpenCV. Please note that I am an employee of Intel and all information and opinions shown in the blog are my own and don’t represent those of my employer. Also, thanks to Tejas Pandey for the help in achieving consistency between OpenCV and Tensorflow. It will also show a way to make them work consistently. This blog will discuss one such use case in detail where OpenCV and Tensorflow show the differences in reading and resizing a JPEG image. It can take up multiple days to figure out what went wrong and could delay the project extensively. The blog “How Tensorflow’s tf.image.resize stole 60 days of my life” ( ) is a perfect example of this type of situation. Therefore, CV solutions developed in one framework may not work as expected in the other framework. In today’s rapid development of frameworks, every framework has its own way of handling images, each with its own specifications. For this, one needs to use a framework to open those images to do some processing on them. Modern Computer Vision (CV) is currently a hot field of research which involves largely working with images.
TF IMAGE RESIZE HOW TO
Return Value: It returns tf.Tensor3D, or tf.Tensor4D.Įxample 1: In this example, we will be going to use a 4d tensor and a size parameter.A dive into the differences in JPEG image read and resizing with OpenCV, Tensorflow and Pillow and also on how to make them consistent.
image.resizeNearestNeighbor() function is used to rescale a heap of 3D images to a different configuration.
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TF IMAGE RESIZE CODE
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