Keras Resize Image Example. The input should be a 4 d tensor in the format of nhwc. You might notice a few new things here first we imported image from keras preprocessing.
From custom layers import resizinglayer. Hands on real world examples research tutorials and cutting edge techniques delivered monday to thursday. The input should be a 4 d tensor in the format of nhwc.
Whether the images will be converted to have 1 3 or 4 channels.
Load the original image. Since the pipeline processes batches of images that must all have the same size this must be provided. For the input data low resolution images we crop the image retrieve the y channel luninance and resize it with the area method use bicubic if you use pil. String the interpolation method.