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i am working on program that make a vectorization for gray scale images not RGB that taken bottleneck layer from autoencoder but i have the following error, any suggestion:

Root: image at /path/to/images is not RGB , therefore not using it

Amro Saleh
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    Welcome to Stack Overflow! We might be able to help you better if you provide some examples of what you've already tried. Please edit your question to include the section of code producing this error. At first glance, it seems your image is not RGB? – J. Blackadar Aug 29 '18 at 21:26
  • Thanks J.Blackader.i am using grayscale images -ultrasound- the following code used: – Amro Saleh Aug 30 '18 at 09:44
  • # imports import argparse import logging import os import numpy as np import tensorflow as tf from six.moves import xrange from tqdm import tqdm from autoencoder_training import build_model from utils import configs from utils.ops import get_pkl_file from utils.ops import from utils.vector_file_handler import VectorSaver from utils.vector_file_handler import establish_vectors_folder # setup logging.basicConfig(level=logging.DEBUG) # variables if __name__ == '__main__': parser = argparse.ArgumentParser(description='Program to vectorize ' \ – Amro Saleh Aug 30 '18 at 09:45
  • Do not post code in the comments, when you can edit your question. – scopchanov Aug 31 '18 at 15:08

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