images and KY CAFO input added

README.md

@@ -21,7 +21,7 @@ Please consider this project and all aspects of this repository as beta, with ex
 
 Goal: The goal of this step is to extract images containing satellite imagery over a known CAFO location. These images will be manually labeled for the PASCAL_VOC format that a TensorFlow model can interpret for CNN development. 
 
-Description: Using an ArcGIS Pro project, we will leverage two data sources to build our model inputs: a [NAIP imagery service](https://naip.arcgis.com/arcgis/services/NAIP/ImageServer) and a feature class containing identified CAFO sites in Kentucky used in a image classification workshop. 
+Description: Using an ArcGIS Pro project, we will leverage two data sources to build our model inputs: a [NAIP imagery service](https://naip.arcgis.com/arcgis/services/NAIP/ImageServer) and a feature class containing identified CAFO sites in Kentucky (gis_inputs/ky_afo_lonx_nonzero) used in a image classification workshop. 
 
 The 1_image_exporter.py script iterates on each record of the Kentucky feature class containing CAFO sites, loading the NAIP imagery at the location at three different specified scales: 1:1000; 1:2000; and 1:3000, and exporting each as a .JPEG image in a designated directory. A total of 250 locations are used, resulting in 750 input features (3 for each location) for training and testing. 
 

gis_inputs/ky_afo_lonx_nonzero/ky_afo_lonx_nonzero.cpg

@@ -0,0 +1 @@
+UTF-8

gis_inputs/ky_afo_lonx_nonzero/ky_afo_lonx_nonzero.prj

@@ -0,0 +1 @@
+GEOGCS["GCS_WGS_1984",DATUM["D_WGS_1984",SPHEROID["WGS_1984",6378137.0,298.257223563]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]]

images/test/img_168_1000.xml

@@ -0,0 +1,38 @@
+<annotation>
+	<folder>cafo_trained_images</folder>
+	<filename>img_168_1000.jpg</filename>
+	<path>C:\Users\albe9057\Documents\ANieto_SolutionEngineering\Projects\EPA\ArcGISPythonAPI_for_EPA\Inputs\cafo_trained_images\img_168_1000.jpg</path>
+	<source>
+		<database>Unknown</database>
+	</source>
+	<size>
+		<width>816</width>
+		<height>1056</height>
+		<depth>3</depth>
+	</size>
+	<segmented>0</segmented>
+	<object>
+		<name>cafo</name>
+		<pose>Unspecified</pose>
+		<truncated>0</truncated>
+		<difficult>0</difficult>
+		<bndbox>
+			<xmin>371</xmin>
+			<ymin>388</ymin>
+			<xmax>511</xmax>
+			<ymax>511</ymax>
+		</bndbox>
+	</object>
+	<object>
+		<name>cafo</name>
+		<pose>Unspecified</pose>
+		<truncated>0</truncated>
+		<difficult>0</difficult>
+		<bndbox>
+			<xmin>358</xmin>
+			<ymin>141</ymin>
+			<xmax>507</xmax>
+			<ymax>260</ymax>
+		</bndbox>
+	</object>
+</annotation>

images/test/img_168_2000.xml

@@ -0,0 +1,50 @@
+<annotation>
+	<folder>cafo_trained_images</folder>
+	<filename>img_168_2000.jpg</filename>
+	<path>C:\Users\albe9057\Documents\ANieto_SolutionEngineering\Projects\EPA\ArcGISPythonAPI_for_EPA\Inputs\cafo_trained_images\img_168_2000.jpg</path>
+	<source>
+		<database>Unknown</database>
+	</source>
+	<size>
+		<width>816</width>
+		<height>1056</height>
+		<depth>3</depth>
+	</size>
+	<segmented>0</segmented>
+	<object>
+		<name>cafo</name>
+		<pose>Unspecified</pose>
+		<truncated>0</truncated>
+		<difficult>0</difficult>
+		<bndbox>
+			<xmin>379</xmin>
+			<ymin>334</ymin>
+			<xmax>459</xmax>
+			<ymax>396</ymax>
+		</bndbox>
+	</object>
+	<object>
+		<name>cafo</name>
+		<pose>Unspecified</pose>
+		<truncated>0</truncated>
+		<difficult>0</difficult>
+		<bndbox>
+			<xmin>391</xmin>
+			<ymin>459</ymin>
+			<xmax>457</xmax>
+			<ymax>518</ymax>
+		</bndbox>
+	</object>
+	<object>
+		<name>cafo</name>
+		<pose>Unspecified</pose>
+		<truncated>0</truncated>
+		<difficult>0</difficult>
+		<bndbox>
+			<xmin>419</xmin>
+			<ymin>141</ymin>
+			<xmax>471</xmax>
+			<ymax>226</ymax>
+		</bndbox>
+	</object>
+</annotation>

images/test/img_168_3000.xml

@@ -0,0 +1,50 @@
+<annotation>
+	<folder>cafo_trained_images</folder>
+	<filename>img_168_3000.jpg</filename>
+	<path>C:\Users\albe9057\Documents\ANieto_SolutionEngineering\Projects\EPA\ArcGISPythonAPI_for_EPA\Inputs\cafo_trained_images\img_168_3000.jpg</path>
+	<source>
+		<database>Unknown</database>
+	</source>
+	<size>
+		<width>816</width>
+		<height>1056</height>
+		<depth>3</depth>
+	</size>
+	<segmented>0</segmented>
+	<object>
+		<name>cafo</name>
+		<pose>Unspecified</pose>
+		<truncated>0</truncated>
+		<difficult>0</difficult>
+		<bndbox>
+			<xmin>417</xmin>
+			<ymin>270</ymin>
+			<xmax>448</xmax>
+			<ymax>325</ymax>
+		</bndbox>
+	</object>
+	<object>
+		<name>cafo</name>
+		<pose>Unspecified</pose>
+		<truncated>0</truncated>
+		<difficult>0</difficult>
+		<bndbox>
+			<xmin>389</xmin>
+			<ymin>397</ymin>
+			<xmax>442</xmax>
+			<ymax>439</ymax>
+		</bndbox>
+	</object>
+	<object>
+		<name>cafo</name>
+		<pose>Unspecified</pose>
+		<truncated>0</truncated>
+		<difficult>0</difficult>
+		<bndbox>
+			<xmin>399</xmin>
+			<ymin>483</ymin>
+			<xmax>441</xmax>
+			<ymax>521</ymax>
+		</bndbox>
+	</object>
+</annotation>

images/test/img_169_1000.xml

@@ -0,0 +1,38 @@
+<annotation>
+	<folder>cafo_trained_images</folder>
+	<filename>img_169_1000.jpg</filename>
+	<path>C:\Users\albe9057\Documents\ANieto_SolutionEngineering\Projects\EPA\ArcGISPythonAPI_for_EPA\Inputs\cafo_trained_images\img_169_1000.jpg</path>
+	<source>
+		<database>Unknown</database>
+	</source>
+	<size>
+		<width>816</width>
+		<height>1056</height>
+		<depth>3</depth>
+	</size>
+	<segmented>0</segmented>
+	<object>
+		<name>cafo</name>
+		<pose>Unspecified</pose>
+		<truncated>0</truncated>
+		<difficult>0</difficult>
+		<bndbox>
+			<xmin>123</xmin>
+			<ymin>325</ymin>
+			<xmax>255</xmax>
+			<ymax>419</ymax>
+		</bndbox>
+	</object>
+	<object>
+		<name>cafo</name>
+		<pose>Unspecified</pose>
+		<truncated>0</truncated>
+		<difficult>0</difficult>
+		<bndbox>
+			<xmin>280</xmin>
+			<ymin>890</ymin>
+			<xmax>419</xmax>
+			<ymax>1051</ymax>
+		</bndbox>
+	</object>
+</annotation>

images/test/img_169_2000.xml

@@ -0,0 +1,50 @@
+<annotation>
+	<folder>cafo_trained_images</folder>
+	<filename>img_169_2000.jpg</filename>
+	<path>C:\Users\albe9057\Documents\ANieto_SolutionEngineering\Projects\EPA\ArcGISPythonAPI_for_EPA\Inputs\cafo_trained_images\img_169_2000.jpg</path>
+	<source>
+		<database>Unknown</database>
+	</source>
+	<size>
+		<width>816</width>
+		<height>1056</height>
+		<depth>3</depth>
+	</size>
+	<segmented>0</segmented>
+	<object>
+		<name>cafo</name>
+		<pose>Unspecified</pose>
+		<truncated>0</truncated>
+		<difficult>0</difficult>
+		<bndbox>
+			<xmin>264</xmin>
+			<ymin>423</ymin>
+			<xmax>330</xmax>
+			<ymax>469</ymax>
+		</bndbox>
+	</object>
+	<object>
+		<name>cafo</name>
+		<pose>Unspecified</pose>
+		<truncated>0</truncated>
+		<difficult>0</difficult>
+		<bndbox>
+			<xmin>343</xmin>
+			<ymin>707</ymin>
+			<xmax>427</xmax>
+			<ymax>798</ymax>
+		</bndbox>
+	</object>
+	<object>
+		<name>cafo</name>
+		<pose>Unspecified</pose>
+		<truncated>0</truncated>
+		<difficult>0</difficult>
+		<bndbox>
+			<xmin>608</xmin>
+			<ymin>570</ymin>
+			<xmax>699</xmax>
+			<ymax>691</ymax>
+		</bndbox>
+	</object>
+</annotation>

images/test/img_169_3000.xml

@@ -0,0 +1,50 @@
+<annotation>
+	<folder>cafo_trained_images</folder>
+	<filename>img_169_3000.jpg</filename>
+	<path>C:\Users\albe9057\Documents\ANieto_SolutionEngineering\Projects\EPA\ArcGISPythonAPI_for_EPA\Inputs\cafo_trained_images\img_169_3000.jpg</path>
+	<source>
+		<database>Unknown</database>
+	</source>
+	<size>
+		<width>816</width>
+		<height>1056</height>
+		<depth>3</depth>
+	</size>
+	<segmented>0</segmented>
+	<object>
+		<name>cafo</name>
+		<pose>Unspecified</pose>
+		<truncated>0</truncated>
+		<difficult>0</difficult>
+		<bndbox>
+			<xmin>308</xmin>
+			<ymin>457</ymin>
+			<xmax>356</xmax>
+			<ymax>491</ymax>
+		</bndbox>
+	</object>
+	<object>
+		<name>cafo</name>
+		<pose>Unspecified</pose>
+		<truncated>0</truncated>
+		<difficult>0</difficult>
+		<bndbox>
+			<xmin>366</xmin>
+			<ymin>649</ymin>
+			<xmax>415</xmax>
+			<ymax>711</ymax>
+		</bndbox>
+	</object>
+	<object>
+		<name>cafo</name>
+		<pose>Unspecified</pose>
+		<truncated>0</truncated>
+		<difficult>0</difficult>
+		<bndbox>
+			<xmin>532</xmin>
+			<ymin>556</ymin>
+			<xmax>604</xmax>
+			<ymax>643</ymax>
+		</bndbox>
+	</object>
+</annotation>

images/test/img_170_1000.xml

@@ -0,0 +1,38 @@
+<annotation>
+	<folder>cafo_trained_images</folder>
+	<filename>img_170_1000.jpg</filename>
+	<path>C:\Users\albe9057\Documents\ANieto_SolutionEngineering\Projects\EPA\ArcGISPythonAPI_for_EPA\Inputs\cafo_trained_images\img_170_1000.jpg</path>
+	<source>
+		<database>Unknown</database>
+	</source>
+	<size>
+		<width>816</width>
+		<height>1056</height>
+		<depth>3</depth>
+	</size>
+	<segmented>0</segmented>
+	<object>
+		<name>cafo</name>
+		<pose>Unspecified</pose>
+		<truncated>0</truncated>
+		<difficult>0</difficult>
+		<bndbox>
+			<xmin>69</xmin>
+			<ymin>650</ymin>
+			<xmax>178</xmax>
+			<ymax>771</ymax>
+		</bndbox>
+	</object>
+	<object>
+		<name>cafo</name>
+		<pose>Unspecified</pose>
+		<truncated>1</truncated>
+		<difficult>0</difficult>
+		<bndbox>
+			<xmin>250</xmin>
+			<ymin>868</ymin>
+			<xmax>382</xmax>
+			<ymax>1056</ymax>
+		</bndbox>
+	</object>
+</annotation>

images/test/img_170_2000.xml

@@ -0,0 +1,38 @@
+<annotation>
+	<folder>cafo_trained_images</folder>
+	<filename>img_170_2000.jpg</filename>
+	<path>C:\Users\albe9057\Documents\ANieto_SolutionEngineering\Projects\EPA\ArcGISPythonAPI_for_EPA\Inputs\cafo_trained_images\img_170_2000.jpg</path>
+	<source>
+		<database>Unknown</database>
+	</source>
+	<size>
+		<width>816</width>
+		<height>1056</height>
+		<depth>3</depth>
+	</size>
+	<segmented>0</segmented>
+	<object>
+		<name>cafo</name>
+		<pose>Unspecified</pose>
+		<truncated>0</truncated>
+		<difficult>0</difficult>
+		<bndbox>
+			<xmin>232</xmin>
+			<ymin>586</ymin>
+			<xmax>295</xmax>
+			<ymax>649</ymax>
+		</bndbox>
+	</object>
+	<object>
+		<name>cafo</name>
+		<pose>Unspecified</pose>
+		<truncated>0</truncated>
+		<difficult>0</difficult>
+		<bndbox>
+			<xmin>334</xmin>
+			<ymin>699</ymin>
+			<xmax>403</xmax>
+			<ymax>796</ymax>
+		</bndbox>
+	</object>
+</annotation>