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

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

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