moonrocks | Just another UI component library based on Styled System | User Interface library

decode_jpeg is used to decode the contents of image file which is read in binary format. You have already read your image file using OpenCV and OpenCV reads the file in NumPy format. Had you made use of read_file, then you should have used decode_jpeg.

Now coming to your problem, you could have converted your uint8 image to floating type either by just using tf.cast operation as you had done it, but you have most likely forgotten to normalize your image from the range of [0, 255] in uint8 to [0, 1] in float. So you could have directly converted your image to float and bring the number's value in range of [0, 1] using: