fe27bfbdd816ef90510cdd579a6642520ca5eda7,chainercv/links/model/ssd/transforms.py,,resize_with_random_interpolation,#,226

Before Change

    inter = random.choice(inters)
    cv_img = cv2.resize(cv_img, size, interpolation=inter)

    img = cv_img.astype(np.float32).transpose(2, 0, 1)[::-1]

    if return_param:
        return img, {"interpolation": inter}

After Change

    if len(img.shape) == 2:
        img = img[:, :, np.newaxis]

    img = cv_img.astype(np.float32).transpose(2, 0, 1)

    if return_param:
        return img, {"interpolation": inter}
    else:

Instances