def get_bot_right_corner(center_lat, center_long, half_pic_width):
center_right_side = get_second_point(center_lat, center_long,
half_pic_width, 2)
bot_right_corner = get_second_point(center_right_side[0],
center_right_side[1], half_pic_width,
3)
return bot_right_corner
def get_starting_point(row_num):
global row_counter
pic_width = get_pic_width_meters(upper_left_boundary_lat, 640, 17)
starting_point = get_second_point(upper_left_boundary_lat,
upper_left_boundary_long, pic_width / 2,
2)
starting_point = get_second_point(starting_point[0], starting_point[1],
pic_width / 2, 3)
for i in range(row_num):
pic_width = get_pic_width_meters(starting_point[0], 640, 17)
starting_point = get_second_point(starting_point[0], starting_point[1],
pic_width / 2, 3)
row_counter += 1
return starting_point
def download_right(lat, long, bound, width_pic, key):
half_pic_width = width_pic / 2
col_counter = 0
while long < bound:
if is_within_city(lat, long, "Chicago", key): # within the city ranges
filename = str(row_counter) + "_" + str(col_counter) + ".png"
download_map_image(lat, long, key, filename)
TL_corner = get_top_left_corner(lat, long, half_pic_width)
BR_corner = get_bot_right_corner(lat, long, half_pic_width)
image_coord_file = open("image_coords.txt", "a")
image_coord_file.write(
filename + ",%s,%s,%s,%s\n" %
(TL_corner[0], TL_corner[1], BR_corner[0], BR_corner[1]))
image_coord_file.close()
lat, long = get_second_point(lat, long, half_pic_width,
2) # move east by half of the pic's width
col_counter += 1
def get_top_left_corner(center_lat, center_long, half_pic_width):
center_left_side = get_second_point(center_lat, center_long,
half_pic_width, 4)
top_left_corner = get_second_point(center_left_side[0],
center_left_side[1], half_pic_width, 1)
return top_left_corner
global row_counter
pic_width = get_pic_width_meters(upper_left_boundary_lat, 640, 17)
starting_point = get_second_point(upper_left_boundary_lat,
upper_left_boundary_long, pic_width / 2,
2)
starting_point = get_second_point(starting_point[0], starting_point[1],
pic_width / 2, 3)
for i in range(row_num):
pic_width = get_pic_width_meters(starting_point[0], 640, 17)
starting_point = get_second_point(starting_point[0], starting_point[1],
pic_width / 2, 3)
row_counter += 1
return starting_point
# picture width in meters changes everytime the latitude changes
starting_point = get_starting_point(starting_row)
# print(starting_point)
while (starting_point[0] >= lower_right_boundary_lat):
# width changes everytime the latitude changes
pic_width = get_pic_width_meters(starting_point[0], 640, 17)
# download images for the current row
download_entire_lat(starting_point[0], starting_point[1],
lower_right_boundary_long, pic_width, key)
# move down ; starting point will be the center of the leftmost square in the row below the current row
starting_point = get_second_point(starting_point[0], starting_point[1],
pic_width / 2, 3)
row_counter += 1