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

Before Change

                        error = (str(err) + ("\n\nMoviePy error: FFMPEG encountered "
                                             "the following error while writing file:"
                                             "\n\n %s" % ffmpeg_error))
                        pipe_out.stdin.close()
                        pipe_in.stdout.close()
                        pipe_out.terminate()
                        pipe_in.terminate()
                        del pipe_in

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)
                    break

                image = numpy.fromstring(raw_image, dtype="uint8")
                image = image.reshape((height, width, 3))
                X[count] = image
                count += 1

            if read_input:
                if last:
                    read_input = False
                _preds = sess.run(preds, feed_dict={img_placeholder: X})

                for i in range(0, batch_shape[0]):
                    img = np.clip(_preds[i], 0, 255).astype(np.uint8)
                    try:
                        pipe_out.stdin.write(img)

Instances