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UserInputs.py
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UserInputs.py
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# User input class, to be used across all files
import os
class UserInputs():
"""
A class which allows the user to select type of input, which
text-summarization techniques to use, and parameters to specify output
form and type.
"""
# image globals
DEFAULT_HEIGHT = 640
DEFAULT_WIDTH = 640
DEFAULT_IMAGE_TYPE = '.PNG'
DEFAULT_BATCH_SIZE = 10
MAX_IMAGES_ITERATIONS = 3
# standard folder path
PATH = '/mnt/c/Users/wcoop/Desktop/SSC/'
# image paths
RAW_IMG_PATH = PATH + 'images/analysis/raw/'
CROPPED_IMG_PATH = PATH + 'images/analysis/cropped/'
GREEN_IMG_PATH = PATH + 'images/analysis/green/'
ALTERED_IMG_PATH = PATH + 'images/analysis/altered/'
CONTOURS_IMG_PATH = PATH + 'images/analysis/contours/'
GRAY_IMG_PATH = PATH + 'images/analysis/gray/'
ROOFS_IMG_PATH = PATH + 'images/analysis/roofs/raw/'
FINAL_ROOFS_IMG_PATH = PATH + 'images/analysis/roofs/final/'
TREES_IMG_PATH = PATH + 'images/analysis/trees/final/'
TREES_RAW_PATH = PATH + 'images/analysis/trees/raw/'
CITY_PATH = PATH + 'images/cities/'
# default URL for website with data on US cities
DEFAULT_SCRAPING_URL = 'https://en.wikipedia.org/wiki/List_of_United_States_cities_by_population'
# unit conversion, square miles and square meters to square feet
SMILES_TO_SFEET = 27878000
SMETERS_TO_SFEET = 10.7639
# default columns for webscraping
DEFAULT_COLUMNS = ['City', 'Population', 'Area (mi^2)', 'Location']
# HSV values for color removal
# LOW_YELLOW = (10, 10, 10)
# HIGH_YELLOW = (45, 80, 170)
# LOW_GREEN = (45, 20, 10)
# HIGH_GREEN = (95, 255, 250)
LOW_YELLOW = (10, 20, 30)
HIGH_YELLOW = (60, 150, 220)
LOW_GREEN = (24, 0, 0)
HIGH_GREEN = (100, 250, 240)
# LOW_YELLOW = (10, 10, 12)
# HIGH_YELLOW = (60, 150, 220)
# LOW_GREEN = (24, 0, 0)
# HIGH_GREEN = (96, 240, 220)
# margins of city coordinates, so can determine where to take images from
CITY_MARGINS = 0.01
# default zoom for the google maps downloader
DEFAULT_ZOOM = str(18)
# coordinates accuracy, round to how many decimals
ZOOM_DECIMALS = 6
# brightness, contrast, sharpness increase for roof finding
BRIGHTNESS_INCREASE = 0.95
CONTRAST_INCREASE = 2.5
SHARPNESS_INCREASE = 1.1
# random number for anything in the script that needs randomness
RANDOM_SEED = 354
# threshold for biggest and smallest roofs allowed (in pixels)
MAX_WIDTH_LENGTH = 450
MIN_WIDTH_LENGTH = 30
MAX_TREE_LENGTH = 450
MIN_TREE_LENGTH = 10
# Entropy threshold, increased for El Paso, decreased for Stockton
MAX_ENTROPY = 2.7
MIN_ENTROPY = 0.6
# MAX_ENTROPY = 1.95
# proportion of analyzed images which are saved for inspection
SAVE_PROPORTION = 0