face_detection/config.py

import numpy as np
import tensorflow.keras.backend as K



cell_size=32
class_names=['face']
class_colors={class_name:np.random.rand(3) for class_name in class_names}



class_to_idx={class_name:i for i,class_name in enumerate(class_names)}
idx_to_class={i:class_name for i,class_name in enumerate(class_names)}