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Shivani Pathak
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‎samples/04_gis_analysts_data_scientists/generating_lst_from_multispectral_imagery_using_pix2pix.ipynb

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" * [Save the model](#Save-the-model)\n",
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" * [Compute evaluation metrics](#Compute-evaluation-metrics)\n",
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"* [Model inferencing](#Model-inferencing)\n",
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" * [Generate raster using classify pixels using deep learning tool](#Generate-raster-using-classify-pixels-using-deep-learning-tool)\n",
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"* [Results visualization](#1)\n",
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"* [Conclusion](#Conclusion)"
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]
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"Inside the exported data folder, the 'Images' and 'Images2' folders contain all of the image tiles from the two domains exported from `lansat_composite_raster` and `lst_raster` respectively."
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"Inside the exported data folder, the 'Images' and 'Images2' folders contain all of the image tiles from the two domains exported from `landsat_composite_raster` and `lst_raster` respectively."
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]
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{
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"cell_type": "code",
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"execution_count": 12,
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"metadata": {
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"scrolled": true
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"6.309573444801929e-05"
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]
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},
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"execution_count": 12,
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"metadata": {},
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"output_type": "execute_result"
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},
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{
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"cell_type": "code",
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},
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{
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"cell_type": "code",
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"execution_count": 14,
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"Published DLPK Item Id: 7d9343e75754476292389a8006b782ed\n"
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"Published DLPK Item Id: a94c729d87774b5e92a25d344e25364f\n"
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]
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{
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"data": {
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"text/plain": [
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"WindowsPath('D:/2021/LST_crop/final/generating_lst_from_multispectral_imagery_using_pix2pix/models/pix2pix_lst_30e_f')"
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"WindowsPath('C:/Users/shi10484/AppData/Local/Temp/models/pix2pix_model')"
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},
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"execution_count": 85,
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"execution_count": 14,
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"metadata": {},
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"output_type": "execute_result"
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}
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"source": [
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"model.save(\"pix2pix_lst_30e_f\", publish=True, overwrite=True)"
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"model.save(\"pix2pix_model\", publish=True, overwrite=True)"
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]
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},
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{
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"cell_type": "code",
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{
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"cell_type": "code",
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"execution_count": 16,
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"metadata": {},
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"outputs": [
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{
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"{'PSNR': '2.0965e+01', 'SSIM': '9.4536e-01'}"
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]
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},
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"execution_count": 22,
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"execution_count": 16,
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"output_type": "execute_result"
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},
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{
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"cell_type": "code",
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"execution_count": 110,
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"execution_count": 17,
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/html": [
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"<div class=\"item_container\" style=\"height: auto; overflow: hidden; border: 1px solid #cfcfcf; border-radius: 2px; background: #f6fafa; line-height: 1.21429em; padding: 10px;\">\n",
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" <div class=\"item_left\" style=\"width: 210px; float: left;\">\n",
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" <a href='https://geosaurus.maps.arcgis.com/home/item.html?id=7d9343e75754476292389a8006b782ed' target='_blank'>\n",
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" <a href='https://geosaurus.maps.arcgis.com/home/item.html?id=a94c729d87774b5e92a25d344e25364f' target='_blank'>\n",
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" <img src='http://static.arcgis.com/images/desktopapp.png' class=\"itemThumbnail\">\n",
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" </a>\n",
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" </div>\n",
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"\n",
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" <div class=\"item_right\" style=\"float: none; width: auto; overflow: hidden;\">\n",
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" <a href='https://geosaurus.maps.arcgis.com/home/item.html?id=7d9343e75754476292389a8006b782ed' target='_blank'><b>pix2pix_lst_30e_f</b>\n",
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" <a href='https://geosaurus.maps.arcgis.com/home/item.html?id=a94c729d87774b5e92a25d344e25364f' target='_blank'><b>pix2pix_model</b>\n",
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" </a>\n",
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" <br/><img src='https://geosaurus.maps.arcgis.com/home/js/jsapi/esri/css/images/item_type_icons/layers16.png' style=\"vertical-align:middle;\">Deep Learning Package by arcgis_python\n",
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" <br/>Last Modified: June 09, 2022\n",
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" <br/><img src='https://geosaurus.maps.arcgis.com/home/js/jsapi/esri/css/images/item_type_icons/layers16.png' style=\"vertical-align:middle;\">Deep Learning Package by api_data_owner\n",
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" <br/>Last Modified: June 20, 2022\n",
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" <br/>0 comments, 0 views\n",
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" </div>\n",
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" </div>\n",
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" "
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],
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"text/plain": [
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"<Item title:\"pix2pix_lst_30e_f\" type:Deep Learning Package owner:arcgis_python>"
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"<Item title:\"pix2pix_model\" type:Deep Learning Package owner:api_data_owner>"
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]
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},
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"execution_count": 110,
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"execution_count": 17,
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"metadata": {},
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"output_type": "execute_result"
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}
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"source": [
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"model_for_inferencing = gis.content.get('7d9343e75754476292389a8006b782ed')\n",
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"model_for_inferencing = gis.content.get('a94c729d87774b5e92a25d344e25364f')\n",
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"model_for_inferencing"
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},
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"cell_type": "markdown",
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"`with arcpy.EnvManager(processorType=\"GPU\"): out_classified_raster = arcpy.ia.ClassifyPixelsUsingDeepLearning(\"composite_raster_for_inferencing\", r\"C:\\path\\to\\model.dlpk\", \"padding 64;batch_size 8;predict_background True; tile_size 224\", \"PROCESS_AS_MOSAICKED_IMAGE\", None); out_classified_raster.save(r\"C:\\sample\\sample.gdb\\predicted_lst\")`"
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"`with arcpy.EnvManager(processorType=\"GPU\"): \n",
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"out_classified_raster = arcpy.ia.ClassifyPixelsUsingDeepLearning(\"composite_raster_for_inferencing\", r\"C:\\path\\to\\model.dlpk\", \"padding 64;batch_size 8;predict_background True; tile_size 224\", \"PROCESS_AS_MOSAICKED_IMAGE\", None); out_classified_raster.save(r\"C:\\sample\\sample.gdb\\predicted_lst\")`"
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