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video_name = 'out.mp4'

frame = cv2.imread(images[0])
height, width, layers = frame.shape
fourcc = cv2.VideoWriter_fourcc(*'H264’) # may try x264
video = cv2.VideoWriter(video_name, fourcc, 6, (width,height))

for image in images:
    video.write(cv2.imread(image))

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def heat_map_rgb(minimum, maximum, value):
    minimum, maximum = float(minimum), float(maximum)
    ratio = 2 * (value-minimum) / (maximum - minimum)
    b = int(max(0, 255*(1 - ratio)))
    r = int(max(0, 255*(ratio - 1)))
    g = 255 - b - r
    return (r, g, b)

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## https://gist.github.com/pierriko/fd49abfa2fb3561f9c89
## https://github.com/omgteam/Didi-competition-solution

#  attach process: https://www.jetbrains.com/help/pycharm/2016.3/attaching-to-local-process.html

import sys
##sys.path.insert(0,'/opt/ros/kinetic/lib/python2.7/dist-packages')
##sys.path.insert(0,'/usr/lib/python2.7/dist-packages')  ## rospkg

import os

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import rospy
import rosbag
import numpy as np
import cv2
import message_filters
import sys, os
from sensor_msgs import point_cloud2
import glob
from cv_bridge import CvBridge, CvBridgeError

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#!/usr/bin/env python

import rosbag
import os
from shutil import copyfile
import glob

bags_path = glob.glob('/home/aaa/dataset/*.bag')
for bag_file in bags_path:
    bag = rosbag.Bag(bag_file)