Captures.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Captures\n",
    "A `micasense.capture.Capture` object holds a set of 5 (or in the case of Altum 6) images which are captured at the same moment together in a MicaSense camera.  Files which meet this criteria will tend to have the same filename except for the suffix, but that is not required to load a captures.  Captures can be loaded by starting with one image by calling Capture.from_file('file_name.tif') and adding others using the append_file, or by providing a list of filenames or images.  See capture.py for more creation methods."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "import os, glob\n",
    "import micasense.capture as capture\n",
    "%matplotlib inline\n",
    "\n",
    "imagePath = os.path.join('.','data','0000SET','000')\n",
    "imageNames = glob.glob(os.path.join(imagePath,'IMG_0000_*.tif'))\n",
    "\n",
    "capture = capture.Capture.from_filelist(imageNames)\n",
    "capture.plot_raw()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# More Capture visualization functions"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "scrolled": false
   },
   "outputs": [],
   "source": [
    "capture.plot_vignette();\n",
    "capture.plot_undistorted_radiance();\n",
    "capture.plot_panels()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "---\n",
    "Copyright (c) 2017-2019 MicaSense, Inc.  For licensing information see the [project git repository](https://github.com/micasense/imageprocessing)"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.7.1"
  },
  "toc": {
   "nav_menu": {},
   "number_sections": true,
   "sideBar": true,
   "skip_h1_title": false,
   "toc_cell": false,
   "toc_position": {},
   "toc_section_display": "block",
   "toc_window_display": false
  },
  "varInspector": {
   "cols": {
    "lenName": 16,
    "lenType": 16,
    "lenVar": 40
   },
   "kernels_config": {
    "python": {
     "delete_cmd_postfix": "",
     "delete_cmd_prefix": "del ",
     "library": "var_list.py",
     "varRefreshCmd": "print(var_dic_list())"
    },
    "r": {
     "delete_cmd_postfix": ") ",
     "delete_cmd_prefix": "rm(",
     "library": "var_list.r",
     "varRefreshCmd": "cat(var_dic_list()) "
    }
   },
   "types_to_exclude": [
    "module",
    "function",
    "builtin_function_or_method",
    "instance",
    "_Feature"
   ],
   "window_display": false
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}