A complete pipeline test of the timelapse generator. Contrast stretching and other image processing to be added. The plan is to not distribute this as a package installable from pip but as a simple git clone and run.

video.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "from panoptes_timegen import time_gen as tg"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Testing the system to generate a simple timelapse\n",
    "\n",
    "* Get fits list\n",
    "* Debayer and save\n",
    "* Generate video"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Number of fits files found: 60\n"
     ]
    }
   ],
   "source": [
    "fits_list = tg.get_file_list(r'F:/panoptes-dftg/20190727T102325/',['fits','fz'])\n",
    "print(f'Number of fits files found: {len(fits_list)}')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "temp_timelapse\\20190727T102619.jpg 20190727T102619.jpg\n",
      "temp_timelapse\\20190727T102911.jpg 20190727T102911.jpg\n",
      "temp_timelapse\\20190727T103215.jpg 20190727T103215.jpg\n",
      "temp_timelapse\\20190727T103516.jpg 20190727T103516.jpg\n",
      "temp_timelapse\\20190727T103815.jpg 20190727T103815.jpg\n",
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      "temp_timelapse\\20190727T105003.jpg 20190727T105003.jpg\n",
      "temp_timelapse\\20190727T105302.jpg 20190727T105302.jpg\n",
      "temp_timelapse\\20190727T105555.jpg 20190727T105555.jpg\n",
      "temp_timelapse\\20190727T105851.jpg 20190727T105851.jpg\n",
      "temp_timelapse\\20190727T110149.jpg 20190727T110149.jpg\n",
      "temp_timelapse\\20190727T110448.jpg 20190727T110448.jpg\n",
      "temp_timelapse\\20190727T110744.jpg 20190727T110744.jpg\n",
      "temp_timelapse\\20190727T111039.jpg 20190727T111039.jpg\n",
      "temp_timelapse\\20190727T111338.jpg 20190727T111338.jpg\n",
      "temp_timelapse\\20190727T111636.jpg 20190727T111636.jpg\n",
      "temp_timelapse\\20190727T111932.jpg 20190727T111932.jpg\n",
      "temp_timelapse\\20190727T112228.jpg 20190727T112228.jpg\n",
      "temp_timelapse\\20190727T112525.jpg 20190727T112525.jpg\n",
      "temp_timelapse\\20190727T112822.jpg 20190727T112822.jpg\n",
      "temp_timelapse\\20190727T113117.jpg 20190727T113117.jpg\n",
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      "temp_timelapse\\20190727T120111.jpg 20190727T120111.jpg\n",
      "temp_timelapse\\20190727T120414.jpg 20190727T120414.jpg\n",
      "temp_timelapse\\20190727T120709.jpg 20190727T120709.jpg\n",
      "temp_timelapse\\20190727T121005.jpg 20190727T121005.jpg\n",
      "temp_timelapse\\20190727T121301.jpg 20190727T121301.jpg\n",
      "temp_timelapse\\20190727T121559.jpg 20190727T121559.jpg\n",
      "temp_timelapse\\20190727T121901.jpg 20190727T121901.jpg\n",
      "temp_timelapse\\20190727T122205.jpg 20190727T122205.jpg\n",
      "temp_timelapse\\20190727T122511.jpg 20190727T122511.jpg\n",
      "temp_timelapse\\20190727T122815.jpg 20190727T122815.jpg\n",
      "temp_timelapse\\20190727T123111.jpg 20190727T123111.jpg\n",
      "temp_timelapse\\20190727T123402.jpg 20190727T123402.jpg\n",
      "temp_timelapse\\20190727T123702.jpg 20190727T123702.jpg\n",
      "temp_timelapse\\20190727T124001.jpg 20190727T124001.jpg\n",
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      "temp_timelapse\\20190727T124554.jpg 20190727T124554.jpg\n",
      "temp_timelapse\\20190727T124850.jpg 20190727T124850.jpg\n",
      "temp_timelapse\\20190727T125148.jpg 20190727T125148.jpg\n",
      "temp_timelapse\\20190727T125444.jpg 20190727T125444.jpg\n",
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      "temp_timelapse\\20190727T130044.jpg 20190727T130044.jpg\n",
      "temp_timelapse\\20190727T130349.jpg 20190727T130349.jpg\n",
      "temp_timelapse\\20190727T130643.jpg 20190727T130643.jpg\n",
      "temp_timelapse\\20190727T130951.jpg 20190727T130951.jpg\n",
      "temp_timelapse\\20190727T131252.jpg 20190727T131252.jpg\n",
      "temp_timelapse\\20190727T131558.jpg 20190727T131558.jpg\n",
      "temp_timelapse\\20190727T131849.jpg 20190727T131849.jpg\n",
      "temp_timelapse\\20190727T132140.jpg 20190727T132140.jpg\n"
     ]
    }
   ],
   "source": [
    "for file in fits_list:\n",
    "    # Read FITS\n",
    "    fits_data = tg.fits.getdata(file)\n",
    "    # Flip up down \n",
    "    flipped_data = tg.np.flipud(fits_data)\n",
    "    # Debayer with 'RGGB'\n",
    "    rgb_data = tg.debayer_image_array(flipped_data,pattern='RGGB')\n",
    "    # Additional processing\n",
    "    rgb_data = rgb_data/2**14 * 255\n",
    "    rgb_data = rgb_data.astype(tg.np.uint8)\n",
    "    bgr_data = tg.cv2.cvtColor(rgb_data,tg.cv2.COLOR_RGB2BGR)\n",
    "    # split image \n",
    "    interested_data = tg.get_sub_image(bgr_data,1,2,0,1)\n",
    "    \n",
    "    # save processed image to temp_dir\n",
    "    tg.save_image(interested_data,tg.os.path.split(file)[-1].split('.')[0])\n",
    "     "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "True"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Generate video from images\n",
    "tg.generate_timelapse_from_images('temp_timelapse','t')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "pan-tg",
   "language": "python",
   "name": "pan-tg"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.6.6"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}

See generated video at: https://youtu.be/MIvDywCjXnk.
interested_data = tg.get_sub_image(bgr_data,1,2,0,1)
In the above snippet. 1,2 imply that treat image as a 1 row, 2 column grid. 0 and 1 tell it to get the grid cell from 0th row and 1st column. Useful for extracting specific parts from image to make timelapse