opencv-web-stream.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Opened: True\n"
     ]
    }
   ],
   "source": [
    "%matplotlib inline\n",
    "\n",
    "import cv2\n",
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "\n",
    "vc = cv2.VideoCapture('https://s3-eu-west-1.amazonaws.com/jamcams.tfl.gov.uk/00001.03680.mp4')\n",
    "print('Opened: {}'.format(vc.isOpened()))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "# Read every 10th frame from first 90 frames\n",
    "frames = []\n",
    "for idx in range(90):\n",
    "    ok, I = vc.read()\n",
    "    if not ok:\n",
    "        print('Video ended early')\n",
    "        break\n",
    "    if idx % 10 == 0:\n",
    "        # OpenCV returns image in BGR format. We want RGB\n",
    "        I = cv2.cvtColor(I, cv2.COLOR_BGR2RGB)\n",
    "        frames.append(I)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(-0.5, 1055.5, 863.5, -0.5)"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {