2ee8ac1546400645908b61ef015cdf5d71aa34cc,utils/datasets.py,,pad_to_square,#,20

Before Change

    h, w = image_np.shape[:2]
    dim_diff = np.abs(h - w)
    pad1, pad2 = dim_diff // 2, dim_diff - dim_diff // 2
    new_shape = (max([h, w]), max([h, w]), 3)
    padded_image = np.full(new_shape, constant_value, dtype=np.float32)
    if h < w:
        padded_image[pad1 : pad1 + h, :] = image_np
        padding = (0, pad1, 0, pad2)
    else:
        padded_image[:, pad1 : pad1 + w] = image_np
        padding = (pad1, 0, pad2, 0)
    return padded_image, padding


class ImageFolder(Dataset):
    def __init__(self, folder_path, img_size=416):

After Change

    // Determine padding
    pad = ((pad1, pad2), (0, 0), (0, 0)) if h <= w else ((0, 0), (pad1, pad2), (0, 0))
    // Add padding
    img = np.pad(img, pad, "constant", constant_values=127.5)
    return img, pad


class ImageFolder(Dataset):
    def __init__(self, folder_path, img_size=416):

Instances