8a0267c11999e3165de11ffd27b3bb5a95d58668,keras_retinanet/layers/_misc.py,ClipBoxes,call,#ClipBoxes#Any#,169

Before Change

        x1 = backend.clip_by_value(boxes[:, :, 0], 0, width)
        y1 = backend.clip_by_value(boxes[:, :, 1], 0, height)
        x2 = backend.clip_by_value(boxes[:, :, 2], 0, width)
        y2 = backend.clip_by_value(boxes[:, :, 3], 0, height)

        return keras.backend.stack([x1, y1, x2, y2], axis=2)

After Change

        image, boxes = inputs
        shape = keras.backend.cast(keras.backend.shape(image), keras.backend.floatx())
        if keras.backend.image_data_format() == "channels_first":
            _, _, height, width = backend.unstack(shape, axis=0)
        else:
            _, height, width, _ = backend.unstack(shape, axis=0)

        x1, y1, x2, y2 = backend.unstack(boxes, axis=-1)

Instances