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@ -3,9 +3,13 @@
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@author xlanro00
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"""
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# Import libraries
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# Import basic libraries
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import argparse as ap
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import configparser as cp
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import sys
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import json
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# Libraries for image processing
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import numpy as np
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import matplotlib.pyplot as plt
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from PIL import Image
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@ -16,76 +20,132 @@ import filters as flt
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class apply_filters:
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def __init__(self):
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if len(sys.argv) < 4:
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# Parse configuration from file
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print("Reading " + sys.argv[1] +
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" for configuration" + sys.argv[2], file=sys.stderr)
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self.conf_file = open(sys.argv[1])
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self.preset = sys.argv[2]
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self.parse_conf()
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else:
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# Parse and save arguments.
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self.parse_arguments()
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self.input_file = self.args.input_file
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self.output_file = self.args.output_file
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self.dpi = self.args.dpi # should be around 500-1000dpi
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self.dpi = self.args.dpi
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self.filters = self.args.filters
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self.flip = self.args.flip
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# Read input image, save its dimensions
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self.img = plt.imread(self.input_file)
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self.dimensions = self.img.shape
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self.print_debug(self.dimensions)
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self.conf_file = self.args.config_file if self.args.config_file else None
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self.preset = self.args.preset if self.args.preset else None
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self.width = self.args.width if self.args.width else 0
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# Convert dimensions
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self.img = Image.open(self.input_file)
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self.convert_dpi()
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self.resize_image()
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self.flip_image()
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# Apply all filters
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self.apply_filter()
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def parse_conf(self):
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# Parse configuration file if given.
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self.conf = json.load(self.conf_file)
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preset = self.conf[self.preset]
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self.input_file = preset['inputFile']
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self.output_file = preset['outputFile']
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self.dpi = preset['dpi']
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self.filters = preset['filters']
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self.flip = preset['flip']
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# Width in config file should be set to 0 even if not used,
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# checking nonetheless
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try:
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self.width = preset['width']
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except(KeyError):
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self.width = 0
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def parse_arguments(self):
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parser = ap.ArgumentParser(prog = 'main.py', description = 'Program for processing a 2D image into 3D fingerprint.')
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# Parse arguments
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parser = ap.ArgumentParser(prog = 'main.py', description =
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'Program for processing a 2D image into 3D fingerprint.')
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# positional arguments
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parser.add_argument("input_file", type = str, help = "Location with input file")
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parser.add_argument("output_file", type = str, help = "Output file location")
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parser.add_argument("dpi", type = int, help = "Scanner dpi")
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# predefined width
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parser.add_argument('-w', "--width", type= int, help = "Option to input predefined width")
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# boolean switch
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parser.add_argument('-f', "--flip", help="Flip input image",
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type = bool, action = ap.BooleanOptionalAction) # boolean switch
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type=bool, action=ap.BooleanOptionalAction)
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# file with configuration containing presets
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parser.add_argument('-c', "--config_file", help = "Config file to save the preset into")
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# new preset name
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parser.add_argument('-p', "--preset", help = "Name of the newly created preset")
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# file with default presets
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parser.add_argument('-pf', "--preset_file", help = "File with presets")
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# array of unknown length, all filter names saved inside
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parser.add_argument('filters', type = str, nargs = '*', help = "List of filter names")
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self.args = parser.parse_args()
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def convert_dpi(self):
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height = self.dimensions[0]
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width = self.dimensions[1]
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self.height = height / self.dpi * 25.4 # conversion to milimeters
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self.width = width / self.dpi * 25.4
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self.print_debug([self.height, self.width, self.dimensions[2]])
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def filter_factory(self, filter_name):
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if filter_name == "average":
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return flt.filter_average
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elif filter_name == "blur":
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return flt.filter_blur
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elif filter_name == "gaussian":
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return flt.filter_gaussian
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elif filter_name == "median":
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return flt.filter_median
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elif filter_name == "erode":
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return flt.filter_erode
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elif filter_name == "dilate":
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return flt.filter_dilate
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elif filter_name == "opening":
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return flt.filter_opening
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elif filter_name == "closing":
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return flt.filter_closing
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# selects filter method of filters library
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# better this than a 100 if/else
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return getattr(flt, filter_name)
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def convert_dpi(self):
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# conversion from inches to milimeters
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self.size = np.empty(2)
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self.size[0] = self.img.size[0] # / self.dpi * 25.4 # width
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self.size[1] = self.img.size[1] # / self.dpi * 25.4 # height
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def resize_image(self):
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# open image as python image object
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print("Resize image", file = sys.stderr)
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# resize if target width passed as an argument
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if self.width:
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self.size[0] = int(
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self.width * self.img.size[0] / self.img.size[1])
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self.size[1] = self.width
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print(self.size)
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self.img = self.img.resize(
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(np.array(self.size).astype(int)))
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else:
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raise ValueError("Invalid filter name")
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self.convert_dpi()
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#self.img = self.img.resize((np.array(self.size)).astype(int))
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#convert to numpy array for further processing
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self.img = np.array(self.img)
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def flip_image(self):
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def process_image(self):
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# resize img to the new width
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# flip image when mirroring is needed
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# should be used only if we want a positive form
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if self.flip:
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print("Flipping image")
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self.img = cv.flip(self.img, 1)
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print("Flipping image", file = sys.stderr)
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self.img = cv.flip(self.img, 1) # 1 for vertical flip
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def apply_filter(self):
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self.process_image()
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if len(self.filters) == 0:
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# save original image
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filter = flt.filter_none
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@ -96,14 +156,20 @@ class apply_filters:
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filter.apply(self)
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self.save_image()
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def print_debug(self, dimensions):
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print("Height: " + str(dimensions[0]))
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print("Width: " + str(dimensions[1]))
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def print_size(self, size):
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print("Width: " + str(size[0]), file = sys.stderr)
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print("Height: " + str(size[1]), file = sys.stderr)
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def save_image(self):
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''' Save processed image. '''
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# Save processed image.
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plt.xticks([]), plt.yticks([])
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plt.axis('off')
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plt.savefig(self.output_file)
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print("Saving image", file = sys.stderr)
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# TODO idk what dpi means, and if it should be put in here
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plt.savefig(self.output_file)#, dpi=self.dpi)
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app = apply_filters()
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