31bfc7c1ce9dac771dbd5e2edf2d5e789d8b1aaa,evaluate.py,,from_pipe,#Any#,18

Before Change

                                             "\n\n %s" % ffmpeg_error))
                        pipe_out.stdin.close()
                        pipe_in.stdout.close()
                        pipe_out.terminate()
                        pipe_in.terminate()
                        del pipe_in
                        del pipe_out
                        raise IOError(error)

After Change

                if len(raw_image) != nbytes:
                    last = True
                    X = X[:count]
                    batch_shape = (count, height, width, 3)
                    img_placeholder = tf.placeholder(tf.float32, shape=batch_shape,
                                                     name="img_placeholder")
                    preds = transform.net(img_placeholder)

Instances