Multiprocessing on Graph

[Shubham Baranwal]

I have frozen the city2kitti model and I want to use in multprocessing. Can anyone help me in that?
Below is the code snippet :

frozen_graph = "graph_optimized.pb"

with tf.gfile.GFile(frozen_graph, "rb") as f:
graph_def = tf.GraphDef()
graph_def.ParseFromString(f.read())

with tf.Graph().as_default() as graph:
tf.import_graph_def(graph_def, input_map=None, return_elements=None, name="")

y_pred = graph.get_tensor_by_name("model/output_depth:0")
x = graph.get_tensor_by_name("input_image:0")

sess = tf.Session(graph=graph)

while (cap.isOpened):
ret, input_image = cap.read()
if input_image is None:
break
start = time.time()
input_image = cv2.resize(input_image, (512, 256))
orig = input_image
input_image = input_image.astype(np.float32) / 255
input_images = np.stack((input_image, np.fliplr(input_image)), 0)
disp = sess.run(y_pred, feed_dict={x: input_images})
disp_pp = post_process_disparity(disp.squeeze()).astype(np.float32)
disp_to_img = scipy.misc.imresize(disp_pp.squeeze(), [256, 512])
disp_to_img = cv2.applyColorMap(disp_to_img, cv2.COLORMAP_SPRING)
cv2.imshow('processed', disp_to_img)
cv2.imshow('unprocessed', orig)
if cv2.waitKey(1) & 0xFF == ord('q'):
break

Thanks