56926bc8b4a158e1c40cddbc795303bc6a66f44d,semantic-segmentation/deeplabv3plus/model_inference.py,,post_process,#Any#Any#Any#,46

Before Change

def post_process(output, old_size, taget_size):

    ratio = float(taget_size)/max(old_size)
    new_size = tuple([int(x*ratio) for x in old_size])

    post_processed = output[0:new_size[0], 0:new_size[1]]

After Change

def post_process(output, old_size, target_size):
    ratio = min(np.divide(desired_size, old_size))
    new_size = (int(old_size[0]*ratio), int(old_size[1]*ratio))

    post_processed = output[0:new_size[0], 0:new_size[1]]

    post_processed = cv2.resize(

Instances