refinenet-keras
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inference.py - # Import classes from csv file
Hi Attila,
Sorry to bother you again. This issue is related to the import from csv file:
class_names_list, mask_colors, num_class, class_names_string = get_label_info(class_dict)
So you want to read in 4 variables form the output of the function get_label_info from scripts.helpers, but that function returns 2 items and not 4: return label_values, len(label_values)
So I changed it to the line below, but my output images are all black. return label_values, label_values, len(label_values), class_names_string
I am wondering how this should be solved. Thanks in advance!
I chenged it to:
Import classes from csv file
mask_colors, num_class = get_label_info(class_dict)
But am still getting purely black predicted images :/
Same issue, have you solved? @katrin1401