42

CUDA = False
image_name = "dog-cycle-car.png"
nms_thesh = 0.5
#Set up the neural network
print("Loading network.....")
model = Darknet(cfgfile)
model.load_weights(weightsfile)
print("Network successfully loaded")
classes = load_classes(classfile)
print('Classes loaded')


conf_inp_dim = int(model.net_info["height"])#608

# treading and resizing image
processed_image, original_image, original_img_dim = preprocess_image(image_name,conf_inp_dim)