58331e77da44f727f96f71eedf6b7f467e3a8efa,keras_rcnn/preprocessing/_object_detection.py,DictionaryIterator,_get_batches_of_transformed_samples,#DictionaryIterator#,144

Before Change

            x_categories = numpy.array([[[0., 1.]]])

            x_masks = numpy.ones((1, 1, 28, 28))
        else:
            x_categories = x_categories[:, ~cropped]

            x_masks = x_masks[:, ~cropped]

After Change

        x_bounding_boxes = x_bounding_boxes[:, ~cropped]

        if x_bounding_boxes.shape == (self.batch_size, 0, 4):
            x_bounding_boxes = numpy.zeros((self.batch_size, 1, 4))

            x_bounding_boxes[..., 0, 1] = 1
            x_bounding_boxes[..., 0, 3] = 1

            x_categories = numpy.zeros((self.batch_size, 0, self.n_categories))

            x_categories[..., 0, 0] = 1

Instances