21c15dc14f6663a326d5475f837b0b3f5d93c28a,tools/test_shadownet.py,,recognize,#Any#Any#Any#Any#Any#Any#,64

Before Change

    
    image = cv2.imread(image_path, cv2.IMREAD_COLOR)
    new_heigth = 32
    scale_rate = new_heigth / image.shape[0]
    new_width = int(scale_rate * image.shape[1])
    new_width = new_width if new_width > CFG.ARCH.INPUT_SIZE[0] else CFG.ARCH.INPUT_SIZE[0]
    image = cv2.resize(image, (new_width, new_heigth), interpolation=cv2.INTER_LINEAR)
    image_vis = image
    image = np.array(image, np.float32) / 127.5 - 1.0

After Change

    :return:
    
    image = cv2.imread(image_path, cv2.IMREAD_COLOR)
    image = cv2.resize(image, dsize=tuple(CFG.ARCH.INPUT_SIZE), interpolation=cv2.INTER_LINEAR)
    image_vis = image
    image = np.array(image, np.float32) / 127.5 - 1.0

Instances