Adjusts comments

Author: daniel-stoneuk

api.py

@@ -18,9 +18,13 @@ def toBase64(image):
 def process(image, meters_squared_per_pixel, size ,taps=3, grid=20):
     downscale = int(size / grid)
     height, width, _ = image.shape
+    # Detect roof colours
     recoloured_image = recolour.find_silver(image)
+    # Detect houses & area
     houses, percentage, housearea = contours.get_contour_nodes(recoloured_image, meters_squared_per_pixel)
+    # Generate tap locations
     tap_locations = TapWork.greedy_brute(houses,taps,(height,width), downscale)
+    # Draw result image
     result = TapWork.draw_network(houses,tap_locations, size, image, meters_squared_per_pixel) 
     population = round(housearea / 7)
     recommendation = round(population / 250)

contours.py

@@ -21,7 +21,7 @@ def get_contour_nodes(image, meters_squared_per_pixel):
 
     nodes = []
 
-    totalarea = 0;
+    totalarea = 0
 
     # loop over the contours
     for c in cnts:

map_downloader.py

@@ -15,12 +15,10 @@ def download_patch(lat_long,api_key, size, zoom=19,file_format='png'):
     meters_squared_per_pixel = (156543.04 * math.cos(math.radians(float(latitude))) / (2**zoom))**2
     print("Meters squared per pixel: {} ".format(str(meters_squared_per_pixel)))
     # metadata = requests.get(("{}&mapMetadata=1&key={}").format(URL, api_key))
-#     boundingbox = metadata.json()["resourceSets"][0]["resources"][0]["bbox"]
+    # boundingbox = metadata.json()["resourceSets"][0]["resources"][0]["bbox"]
     # print(metadata.text);
-
     image_array = numpy.asarray(bytearray(image.content), dtype=numpy.uint8)
     map_image = cv2.imdecode(image_array, -1)
-
     # Crop
     map_image = map_image[0:int(size), 0:int(size)]
     return map_image, meters_squared_per_pixel