realsense_rec.ipynb

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 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import cv2                                # state of the art computer vision algorithms library\n",
    "import numpy as np                        # fundamental package for scientific computing\n",
    "import matplotlib.pyplot as plt           # 2D plotting library producing publication quality figures\n",
    "import pyrealsense2 as rs                 # Intel RealSense cross-platform open-source API\n",
    "from IPython.display import clear_output \n",
    "import datetime as dt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "2023-06-13_17-37\n"
     ]
    }
   ],
   "source": [
    "date=dt.datetime.now().strftime(\"%Y-%m-%d_%H-%M\")\n",
    "print(date)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "# writer= cv2.VideoWriter('basicvideo.mp4', cv2.VideoWriter_fourcc(*'DIVX'), 20, (width,height))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Define the codec and create VideoWriter object\n",
    "fourcc = cv2.VideoWriter_fourcc(*'XVID')\n",
    "out = cv2.VideoWriter(f'activity_{date}.avi', fourcc, 20.0, (640, 480))\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "pipe = rs.pipeline()\n",
    "profile = pipe.start()\n",
    "try:\n",
    "  for i in range(0, 1000):\n",
    "    frames = pipe.wait_for_frames()\n",
    "    color_frame = frames.get_color_frame() \n",
    "\n",
    "    image=np.asanyarray(color_frame.get_data())\n",
    "    image= cv2.cvtColor(image, cv2.COLOR_RGB2BGR)\n",
    "\n",
    "    out.write(image)\n",
    "\n",
    "    cv2.namedWindow('Example', cv2.WINDOW_AUTOSIZE)\n",
    "    cv2.imshow('Example', image)\n",
    "    key = cv2.waitKey(1)\n",
    "    # Press esc or 'q' to close the image window\n",
    "    if key & 0xFF == ord('q') or key == 27:\n",
    "        cv2.destroyAllWindows()\n",
    "        break\n",
    "\n",
    "finally:\n",
    "    pipe.stop()\n",
    "    cv2.destroyAllWindows()\n",
    "\n",
    "out.release()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "out.release()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(480, 640, 3)"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "image.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
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  },
  {
   "cell_type": "code",
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  }
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