dpattison3

import tensorflow as tf
import scipy.misc
from timeit import default_timer as timer
import cv2
import numpy as np


def load_graph(frozen_graph_filename):
    # We load the protobuf file from the disk and parse it to retrieve the 
    # unserialized graph_def

dpattison3

import commentjson
import os
import sys

import collections

import numpy as np
import scipy as scp
import scipy.misc
import tensorflow as tf

dpattison3

%%
%
% This is a script for reading the labelme annotations and outputing a
% dataset that can be used for training a CNN. It is specifically designed
% to work with KittiSeg network which uses annotation images with color
% masks denoting the labels.
%
%#ok<*AGROW>
%
%% Read the images and annotations