ebae4ed91a657b1eac389a6d380c165a295cd822,tests/layers/losses/test_rcnn.py,TestRCNN,test_call,#TestRCNN#,7

Before Change

        scores = numpy.random.choice(range(classes), (2,))

        target_deltas = keras.backend.ones((1, 2, 4 * classes))
        target_scores = keras.utils.to_categorical(scores)
        target_scores = keras.backend.expand_dims(target_scores, 0)
        target_scores = keras.backend.cast(target_scores, keras.backend.floatx())

        output_deltas = keras.backend.ones((1, 2, 4 * classes))
        output_scores = keras.utils.to_categorical(scores)
        output_scores = keras.backend.expand_dims(output_scores, 0)
        output_scores = keras.backend.cast(output_scores, keras.backend.floatx())

        layer = keras_rcnn.layers.RCNN()

After Change

        classes = 3

        target_deltas = keras.backend.ones((1, 2, 4 * classes))
        target_scores = keras.backend.variable([[0, 0, 1], [0, 0, 1]])
        target_scores = keras.backend.expand_dims(target_scores, 0)
        target_scores = keras.backend.cast(target_scores, keras.backend.floatx())

Instances