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color_it.py
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color_it.py
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#!/usr/bin/env python3
"""
Use a tkinter GUI to explore OpenCV's CLAHE image processing parameters.
Parameter values are adjusted with slide bars.
USAGE Example command lines, from within the image-processor-main folder:
python3 -m color_it --help
python3 -m color_it --about
python3 -m color_it --input images/sample4.jpg
python3 -m color_it -i images/sample4.jpg -s 0.6
Windows systems may need to substitute 'python3' with 'py' or 'python'.
Quit program with Esc key, Ctrl-Q key, the close window icon of the
settings windows, or from command line with Ctrl-C.
Save settings and the CLAHE adjusted image with Save button.
Requires Python3.7 or later and the packages opencv-python and numpy.
See this distribution's requirements.txt file for details.
Developed in Python 3.8-3.9.
"""
# Copyright (C) 2022-2023 C.S. Echt, under GNU General Public License
# pylint: disable=use-dict-literal, no-member
# Standard library imports.
import sys
from pathlib import Path
# Local application imports.
from contour_modules import (vcheck,
utils,
manage,
constants as const,
)
# Third party imports.
# tkinter(Tk/Tcl) is included with most Python3 distributions,
# but may sometimes need to be regarded as third-party.
try:
import cv2
import tkinter as tk
from tkinter import ttk
except (ImportError, ModuleNotFoundError) as import_err:
sys.exit(
'*** One or more required Python packages were not found'
' or need an update:\nOpenCV-Python or tkinter (Tk/Tcl).\n\n'
'To install: from the current folder, run this command'
' for the Python package installer (PIP):\n'
' python3 -m pip install -r requirements.txt\n\n'
'Alternative command formats (system dependent):\n'
' py -m pip install -r requirements.txt (Windows)\n'
' pip install -r requirements.txt\n\n'
'You may also install directly using, for example, this command,'
' for the Python package installer (PIP):\n'
' python3 -m pip install opencv-python\n\n'
'On Linux, if tkinter is the problem, then you may need:\n'
' sudo apt-get install python3-tk\n\n'
'See also: https://numpy.org/install/\n'
' https://tkdocs.com/tutorial/install.html\n'
' https://docs.opencv.org/4.6.0/d5/de5/tutorial_py_setup_in_windows.html\n\n'
f'Error message:\n{import_err}')
class ProcessImage(tk.Tk):
"""
Uses OpenCV to apply color-specific masks to an image.
Class methods: find_colors()
"""
__slots__ = (
'cbox_val', 'hibound', 'hsv_img', 'img_label', 'img_window',
'lobound', 'radio_val', 'slider_val', 'tkimg', 'tk',
)
def __init__(self):
super().__init__()
# These keys must match keys in the corresponding ImageViewer __init__,
# selector widget dictionaries.
self.slider_val = {
'H_min': tk.IntVar(),
'S_min': tk.IntVar(),
'V_min': tk.IntVar(),
'H_max': tk.IntVar(),
'S_max': tk.IntVar(),
'V_max': tk.IntVar(),
}
self.cbox_val = {
'color_pref': tk.StringVar(),
}
self.radio_val = {
'filter_pref': tk.BooleanVar(),
'redux_pref': tk.BooleanVar(),
}
# Arrays of images to be processed. When used within a method,
# the purpose of self.tkimg[*] as an instance attribute is to
# retain the attribute reference and thus prevent garbage collection.
# Dict values will be defined for panels of PIL ImageTk.PhotoImage
# with Label images displayed in their respective img_window Toplevel.
self.tkimg = {
'input2color': tk.PhotoImage(),
'hsv': tk.PhotoImage(),
'color': tk.PhotoImage(),
}
# Tuples used for setting and reporting the HSV ranges for masks.
self.lobound = 0, 0, 0
self.hibound = 0, 0, 0
# Dict items are defined in ImageViewer.setup_image_windows().
self.img_window = None
self.img_label = None
self.hsv_img = None
def find_colors(self, color2find=None) -> None:
"""
Applies a mask to the input image for the specified color range
using cv2.inRange() and cv2.bitwise_and(). Provides for optional
pre-filtering of image and noise reduction of the mask.
Args:
color2find: Uses pre-set color ranges from a dictionary when
specified, otherwise uses range values from
Scale() variables.
Returns: None
"""
# Coding ideas from:
# https://techvidvan.com/tutorials/detect-objects-of-similar-color-using-opencv-in-python/
# Note that the slider values are actually BGR values that will
# be converted to the corresponding HSV colorspace.
h_min = self.slider_val['H_min'].get()
s_min = self.slider_val['S_min'].get()
v_min = self.slider_val['V_min'].get()
h_max = self.slider_val['H_max'].get()
s_max = self.slider_val['S_max'].get()
v_max = self.slider_val['V_max'].get()
self.lobound = h_min, s_min, v_min
self.hibound = h_max, s_max, v_max
# Note: these values are hard-coded in report_color_settings(),
# so update report text if these values change.
# In 'else', need the same number of newlines as in the True condition.
if self.radio_val['filter_pref'].get():
filtered = cv2.bilateralFilter(src=INPUT_IMG,
d=0, # is calculated from sigma.
sigmaColor=9,
sigmaSpace=9,
borderType=cv2.BORDER_REPLICATE)
# filtered = cv2.GaussianBlur(src=INPUT_IMG,
# ksize=(7, 7),
# sigmaX=0,
# sigmaY=0,
# borderType=cv2.BORDER_REPLICATE)
self.hsv_img = cv2.cvtColor(filtered, cv2.COLOR_BGR2HSV)
else: # User chose not to apply filter.
self.hsv_img = cv2.cvtColor(INPUT_IMG, cv2.COLOR_BGR2HSV)
# Dict values are the lower and upper (light & dark)
# BGR colorspace range boundaries to use for HSV color discrimination.
# Note that cv2.inRange thresholds all elements within the
# color bounds to white and everything else to black.
if color2find:
lower, upper = const.COLOR_BOUNDARIES[color2find]
mask = cv2.inRange(self.hsv_img,
lowerb=lower,
upperb=upper)
# Red color wraps around the cylindrical HSV boundary,
# so need to merge two range sets to include all likely reds,
# as explained in:
# https://stackoverflow.com/questions/30331944/
# finding-red-color-in-image-using-python-opencv
# and in:
# https://answers.opencv.org/question/28899/
# correct-hsv-inrange-values-for-red-objects/
if color2find == 'red><red':
mask_red1 = cv2.inRange(self.hsv_img,
lowerb=const.COLOR_BOUNDARIES['red & brown'][0],
upperb=const.COLOR_BOUNDARIES['red & brown'][1])
mask_red2 = cv2.inRange(self.hsv_img,
lowerb=const.COLOR_BOUNDARIES['red & hot pink'][0],
upperb=const.COLOR_BOUNDARIES['red & hot pink'][1])
mask = cv2.add(mask_red1, mask_red2)
else: # using sliders
mask = cv2.inRange(self.hsv_img,
lowerb=self.lobound,
upperb=self.hibound)
# Structuring element for cv2.morphologyEx noise reduction.
element = cv2.getStructuringElement(
# shape=cv2.MORPH_ELLIPSE, # cv2.MORPH_RECT, default
shape=cv2.MORPH_CROSS, # CROSS is best bring out mask detail.
ksize=(3, 3), # smaller kernel preserves more details.
anchor=(-1, -1) # anchor cross kernel to center with -1.
)
# Apply noise reduction to the mask; conditional.
redux_mask = cv2.morphologyEx(
src=mask,
op=cv2.MORPH_HITMISS,
kernel=element,
iterations=1,
borderType=cv2.BORDER_DEFAULT
)
# Segment only the detected region. cv2.bitwise_and() applies mask on
# the array only in regions where the mask is white, that is,
# it retains only the parts of the image that are thresholded to white.
# From docs: "mask" is an 8-bit single channel array that specifies
# elements of the output array to be changed.
if self.radio_val['redux_pref'].get():
masked_img = cv2.bitwise_and(INPUT_IMG, INPUT_IMG, mask=redux_mask)
else:
masked_img = cv2.bitwise_and(INPUT_IMG, INPUT_IMG, mask=mask)
self.tkimg['color'] = manage.tk_image(masked_img, colorspace='bgr')
self.img_label['color'].configure(image=self.tkimg['color'])
class ImageViewer(ProcessImage):
"""
Uses OpenCV and tkinter methods to display color masks and report
image processing settings and images to file,
Class Methods:
setup_image_windows -> no_exit_on_x
setup_report_window
config_sliders
config_cbox
config_buttons -> save_settings
set_color_defaults
grid_widgets
display_images
report_color_settings
process_all
"""
__slots__ = (
'color_list', 'color_report_frame', 'color_selectors_frame',
'color_settings_txt', 'explain', 'flat_gray', 'reset_btn',
'save_btn', 'filter_btn', 'redux_btn', 'separator', 'slider',
)
def __init__(self):
super().__init__()
self.color_report_frame = tk.Frame()
self.color_selectors_frame = tk.Frame()
# self.configure(bg='green') # for development.
# Note: The matching control variable attributes for the
# slider widgets are in ProcessImage __init__, slider_val
# dictionary.
self.slider = {
'H_min': tk.Scale(master=self.color_selectors_frame),
'H_min_lbl': tk.Label(master=self.color_selectors_frame),
'S_min': tk.Scale(master=self.color_selectors_frame),
'S_min_lbl': tk.Label(master=self.color_selectors_frame),
'V_min': tk.Scale(master=self.color_selectors_frame),
'V_min_lbl': tk.Label(master=self.color_selectors_frame),
'H_max': tk.Scale(master=self.color_selectors_frame),
'H_max_lbl': tk.Label(master=self.color_selectors_frame),
'S_max': tk.Scale(master=self.color_selectors_frame),
'S_max_lbl': tk.Label(master=self.color_selectors_frame),
'V_max': tk.Scale(master=self.color_selectors_frame),
'V_max_lbl': tk.Label(master=self.color_selectors_frame),
}
self.cbox = {
'choose_color': ttk.Combobox(master=self.color_selectors_frame),
'choose_color_lbl': tk.Label(master=self.color_selectors_frame),
}
self.radio = {
'filter_lbl': tk.Label(master=self),
'filter_yes': tk.Radiobutton(master=self),
'filter_no': tk.Radiobutton(master=self),
'redux_lbl': tk.Label(master=self),
'redux_yes': tk.Radiobutton(master=self),
'redux_no': tk.Radiobutton(master=self),
}
self.reset_btn = ttk.Button(master=self)
self.save_btn = ttk.Button(master=self)
self.explain = tk.Label(master=self.color_selectors_frame)
# Separator used in settings report window.
self.separator = ttk.Separator(master=self)
self.color_list = []
self.color_settings_txt = None
# A np.ndarray of the flattened input grayscale image used for histogram.
self.flat_gray = None
# Put everything in place, establish initial settings and displays.
self.setup_image_windows()
self.setup_report_window()
self.config_sliders()
self.config_cbox()
self.config_buttons()
self.grid_widgets()
self.set_color_defaults()
self.find_colors() # Called with argument from Combobox cmd.
self.display_images()
# On Linux Ubuntu, need update to activate self.force_focus().
self.update_idletasks()
def setup_image_windows(self) -> None:
"""
Create and configure Toplevel window to display input and
processed image.
Returns: None
"""
def no_exit_on_x():
"""
Provide a notice in Terminal. Called from .protocol() in loop.
"""
print('Image windows cannot be closed from the window bar.\n'
'They can be minimized to get them out of the way.\n'
'You can quit the program from the OpenCV Settings Report'
' window bar or Esc or Ctrl-Q keys.'
)
# NOTE: dict item order affects the order that windows are
# drawn, so here use an inverse order of processing steps to
# arrange windows overlaid from first to last, unless .lower() or
# tkraise() are used.
# NOTE: keys here must match corresponding keys in const.WIN_NAME
self.img_window = {
'input2color': tk.Toplevel(),
}
# Prevent user from inadvertently resizing a window too small to use.
# Need to disable default window Exit in display windows b/c
# subsequent calls to them need a valid path name.
# Allow image label panels in image windows to resize with window.
# Note that images don't proportionally resize, just their boundaries;
# images will remain anchored at their top left corners.
for _name, toplevel in self.img_window.items():
toplevel.minsize(200, 100)
toplevel.protocol('WM_DELETE_WINDOW', no_exit_on_x)
toplevel.columnconfigure(0, weight=1)
toplevel.columnconfigure(1, weight=1)
toplevel.rowconfigure(0, weight=1)
toplevel.title(const.WIN_NAME[_name])
# Move CLAHE window toward the center; stack the input images window
# below those. Histogram window by default will be on the left side.
input_w_offset = int(self.winfo_screenwidth() * 0.25)
input_h_offset = int(self.winfo_screenheight() * 0.1)
self.img_window['input2color'].lower(belowThis=self)
self.img_window['input2color'].geometry(f'+{input_w_offset}+{input_h_offset}')
# The Labels to display scaled images, which are updated using
# .configure() for 'image=' in their respective processing methods.
self.img_label = {
'input2color': tk.Label(self.img_window['input2color']),
'hsv': tk.Label(self.img_window['input2color']),
'color': tk.Label(self.img_window['input2color']),
}
def setup_report_window(self) -> None:
"""
Master (main tk window, "app") settings and reporting frames,
utility buttons, configurations, and keybindings.
"""
# Need to provide exit info msg to Terminal.
self.protocol('WM_DELETE_WINDOW', lambda: utils.quit_gui(mainloop=app))
self.bind_all('<Escape>', lambda _: utils.quit_gui(mainloop=app))
self.bind_all('<Control-q>', lambda _: utils.quit_gui(mainloop=app))
# ^^ Note: macOS Command-q will quit program without utils.quit_gui info msg.
# Place settings/report window at upper right of screen.
w_offset = int(self.winfo_screenwidth() * 0.66)
self.geometry(f'+{w_offset}+0')
self.config(
bg=const.MASTER_BG, # gray80 matches report_color_settings() txt fg.
# bg=const.CBLIND_COLOR_TK['sky blue'], # for development.
highlightthickness=5,
highlightcolor=const.CBLIND_COLOR_TK['yellow'],
highlightbackground=const.DRAG_GRAY
)
self.color_report_frame.configure(relief='flat',
bg=const.CBLIND_COLOR_TK['sky blue']
) # bg won't show with grid sticky EW.
self.color_selectors_frame.configure(relief='raised',
bg=const.DARK_BG,
borderwidth=5, )
self.explain.config(
text=('Min and max slider values are the BGR values used for'
' HSV color conversion\n'
' with the function cv2.cvtColor(src, cv2.COLOR_BGR2HSV).'),
**const.LABEL_PARAMETERS
)
self.columnconfigure(1, weight=2)
self.color_report_frame.columnconfigure(1, weight=2)
self.color_selectors_frame.columnconfigure(1, weight=2)
self.color_report_frame.grid(column=0, row=0,
columnspan=2,
padx=5, pady=5,
sticky=tk.EW)
self.color_selectors_frame.grid(column=0, row=1,
columnspan=2,
padx=5, pady=(0, 5),
ipadx=4, ipady=4,
sticky=tk.EW)
def config_sliders(self) -> None:
"""
Configure arguments for Scale() sliders. Called from __init__.
Returns: None
"""
# Note that the if '_lbl' condition isn't needed to improve
# performance; it's just there for clarity's sake.
# This bind call to process_all() replaces the need to use
# the Scale() 'command' parameter.
for name, widget in self.slider.items():
if '_lbl' not in name:
widget.bind('<ButtonRelease-1>', self.process_all)
# Set minimum width for the enclosing Toplevel by setting a length
# for a single Scale widget that is sufficient to fit everything
# in the Frame given current padding parameters. Need to use only
# for one Scale() in each Toplevel().
scale_len = int(self.winfo_screenwidth() * 0.25)
self.slider['H_min_lbl'].configure(text='H minimum:',
**const.LABEL_PARAMETERS)
self.slider['H_min'].configure(from_=0, to=255,
length=scale_len,
resolution=1,
tickinterval=20,
variable=self.slider_val['H_min'],
**const.SCALE_PARAMETERS)
self.slider['S_min_lbl'].configure(text='S minimum:',
**const.LABEL_PARAMETERS)
self.slider['S_min'].configure(from_=0, to=255,
resolution=1,
tickinterval=20,
variable=self.slider_val['S_min'],
**const.SCALE_PARAMETERS)
self.slider['V_min_lbl'].configure(text='V minimum:',
**const.LABEL_PARAMETERS)
self.slider['V_min'].configure(from_=0, to=255,
resolution=1,
tickinterval=20,
variable=self.slider_val['V_min'],
**const.SCALE_PARAMETERS)
self.slider['H_max_lbl'].configure(text='H maximum:',
**const.LABEL_PARAMETERS)
self.slider['H_max'].configure(from_=0, to=255,
resolution=1,
tickinterval=20,
variable=self.slider_val['H_max'],
**const.SCALE_PARAMETERS)
self.slider['S_max_lbl'].configure(text='S maximum:',
**const.LABEL_PARAMETERS)
self.slider['S_max'].configure(from_=0, to=255,
resolution=1,
tickinterval=20,
variable=self.slider_val['S_max'],
**const.SCALE_PARAMETERS)
self.slider['V_max_lbl'].configure(text='V maximum:',
**const.LABEL_PARAMETERS)
self.slider['V_max'].configure(from_=0, to=255,
resolution=1,
tickinterval=20,
variable=self.slider_val['V_max'],
**const.SCALE_PARAMETERS)
def config_cbox(self) -> None:
"""
Configure arguments for the color selection Combobox().
Called from __init__.
Returns: None
"""
# Different Combobox widths are needed to account for font widths
# and padding in different systems.
width_correction = 2 if const.MY_OS == 'win' else 0 # is Linux or macOS
self.color_list = list(const.COLOR_BOUNDARIES.keys())
self.color_list.insert(0, 'Use sliders')
self.color_list.append('Use sliders')
self.cbox['choose_color_lbl'].config(text='Select a color or "Use sliders":',
**const.LABEL_PARAMETERS)
self.cbox['choose_color'].config(textvariable=self.cbox_val['color_pref'],
width=16 + width_correction,
values=self.color_list,
**const.COMBO_PARAMETERS)
# Set to green at startup, or 1st color in list.
self.cbox['choose_color'].current(1) # Set to green at startup.
# Now bind functions to all Comboboxes.
# Note that the if condition doesn't seem to be needed to
# improve performance or affect bindings;
# it just clarifies the intention.
for name, widget in self.cbox.items():
if '_lbl' not in name:
widget.bind('<<ComboboxSelected>>', func=self.process_all)
def config_buttons(self) -> None:
"""
Configure utility Buttons and Radiobuttons. Called from __init__.
Returns: None
"""
manage.ttk_styles(self)
def save_settings():
"""
A Button "command" kw caller to avoid messy or lambda
statements.
"""
utils.save_settings_and_img(img2save=self.tkimg['color'],
txt2save=self.color_settings_txt,
caller='COLOR')
button_params = dict(
style='My.TButton',
width=0)
self.reset_btn.config(text='Reset to defaults',
command=self.set_color_defaults,
**button_params)
self.save_btn.config(text='Save settings & image',
command=save_settings,
**button_params)
self.radio['filter_lbl'].config(text='Apply blur filter to image?',
**const.LABEL_PARAMETERS)
self.radio['filter_yes'].config(text='Yes',
variable=self.radio_val['filter_pref'],
value=True,
command=self.process_all,
**const.RADIO_PARAMETERS)
self.radio['filter_no'].config(text='No',
variable=self.radio_val['filter_pref'],
value=False,
command=self.process_all,
**const.RADIO_PARAMETERS)
self.radio['redux_lbl'].config(text='Apply noise reduction to mask?',
**const.LABEL_PARAMETERS)
self.radio['redux_yes'].config(text='Yes',
variable=self.radio_val['redux_pref'],
value=True,
command=self.process_all,
**const.RADIO_PARAMETERS)
self.radio['redux_no'].config(text='No',
variable=self.radio_val['redux_pref'],
value=False,
command=self.process_all,
**const.RADIO_PARAMETERS)
def set_color_defaults(self) -> None:
""" Sets selector widgets values.
Called from "Reset" button and __init__. Calls process_all().
Returns: None
"""
# Set/Reset Scale widgets.
# Default color range is 'red & brown'.
self.slider_val['H_min'].set(0)
self.slider_val['S_min'].set(100)
self.slider_val['V_min'].set(100)
self.slider_val['H_max'].set(6)
self.slider_val['S_max'].set(255)
self.slider_val['V_max'].set(255)
# Set/Reset Combobox widgets.
self.cbox_val['color_pref'].set('red & brown')
# Set/Reset Radiobutton widgets.
self.radio['filter_yes'].select()
self.radio['redux_yes'].select()
# Apply the default settings.
self.process_all()
def grid_widgets(self) -> None:
"""
Widgets' grids in the main, "app", window.
Returns: None
"""
# Use the dict() function with keyword arguments to mimic the
# keyword parameter structure of the grid() function.
label_grid_params = dict(
padx=5,
pady=(4, 0),
sticky=tk.E)
slider_grid_params = dict(
padx=5,
pady=(4, 0),
sticky=tk.EW)
general_grid_params = dict(
padx=(8, 0),
pady=(4, 0),
sticky=tk.W)
# Widgets gridded in the self.color_selectors_frame Frame.
# Sorted by row number:
self.slider['H_min_lbl'].grid(column=0, row=0,
**label_grid_params)
self.slider['H_min'].grid(column=1, row=0,
**slider_grid_params)
self.slider['S_min_lbl'].grid(column=0, row=1,
**label_grid_params)
self.slider['S_min'].grid(column=1, row=1,
**slider_grid_params)
self.slider['V_min_lbl'].grid(column=0, row=2,
**label_grid_params)
self.slider['V_min'].grid(column=1, row=2,
**slider_grid_params)
self.slider['H_max_lbl'].grid(column=0, row=3,
**label_grid_params)
self.slider['H_max'].grid(column=1, row=3,
**slider_grid_params)
self.slider['S_max_lbl'].grid(column=0, row=4,
**label_grid_params)
self.slider['S_max'].grid(column=1, row=4,
**slider_grid_params)
self.slider['V_max_lbl'].grid(column=0, row=5,
**label_grid_params)
self.slider['V_max'].grid(column=1, row=5,
**slider_grid_params)
self.cbox['choose_color_lbl'].grid(column=1, row=9,
padx=(0, 0),
pady=(5, 5),
sticky=tk.W)
self.explain.grid(column=0, row=10,
columnspan=2,
padx=(0, 0),
pady=(0, 0),
sticky=tk.EW)
self.separator.grid(column=0, row=6,
columnspan=2,
pady=6,
sticky=tk.NSEW)
self.reset_btn.grid(column=0, row=7,
**general_grid_params)
self.save_btn.grid(column=0, row=8,
**general_grid_params)
self.radio['filter_lbl'].grid(column=1, row=7,
**general_grid_params)
self.radio['redux_lbl'].grid(column=1, row=8,
**general_grid_params)
# Use update() because update_idletasks() doesn't always work to
# get the gridded widgets' correct winfo_width.
self.update()
# Now grid widgets with relative padx values based on widths of
# their corresponding partner widgets. Works across platforms.
choose_color_width = self.cbox['choose_color_lbl'].winfo_width()
choose_color_padx = (choose_color_width + 10, 0)
self.cbox['choose_color'].grid(column=1, row=9,
padx=choose_color_padx,
pady=5,
sticky=tk.W)
filter_lbl_width = self.radio['filter_lbl'].winfo_width()
filter_yes_padx = (filter_lbl_width + 12, 0)
filter_no_padx = (int(filter_lbl_width * 1.3), 0)
self.radio['filter_yes'].grid(column=1, row=7,
padx=filter_yes_padx,
pady=(4, 0),
sticky=tk.W)
self.radio['filter_no'].grid(column=1, row=7,
padx=filter_no_padx,
pady=(4, 0),
sticky=tk.W)
redux_lbl_width = self.radio['redux_lbl'].winfo_width()
redux_yes_padx = (redux_lbl_width + 12, 0)
redux_no_padx = (int(redux_lbl_width * 1.25), 0)
self.radio['redux_yes'].grid(column=1, row=8,
padx=redux_yes_padx,
pady=(4, 0),
sticky=tk.W)
self.radio['redux_no'].grid(column=1, row=8,
padx=redux_no_padx,
pady=(4, 0),
sticky=tk.W)
def display_images(self) -> None:
"""
Displays input and processed cv2 images in a tk image format
in a Toplevel window.
Displays the color-masked image from find_colors() (inherited).
Calls manage.tkimage(), which applies scaling, cv2 -> tk array
conversion, and updates the panel Label's image parameter.
Returns: None
"""
# Display the input image and its grayscale; both are static, so
# do not need updating, but retain the image display statement
# structure of processed images that do need updating.
# Note: Use 'self' to scope the ImageTk.PhotoImage in the Class,
# otherwise it will/may not show b/c of garbage collection.
self.tkimg['input2color'] = manage.tk_image(INPUT_IMG, colorspace='bgr')
self.img_label['input2color'].configure(image=self.tkimg['input2color'])
self.img_label['input2color'].grid(**const.PANEL_LEFT)
# Remember that the colored image is converted and configured in
# ProcessImage.find_colors().
self.img_label['color'].grid(**const.PANEL_RIGHT)
def report_color_settings(self) -> None:
"""
Write the current settings and cv2 parameters in a Text widget of
the report_frame. The same text is printed in Terminal when using
the "Save" button. Called from and process_all().
Returns: None
"""
indent = ' '.ljust(18)
bigindent = ' '.ljust(26)
selected_color = self.cbox['choose_color'].get()
if selected_color == self.color_list[0]: # is 'Use sliders'
range_txt = (f'Selected BGR values for lower HSV bound: {self.lobound}\n'
f'Selected BGR values for upper HSV bound: {self.hibound}\n\n')
else: # a pre-set color is selected
if selected_color == 'red><red': # strings must match dict keys.
l_mask1, u_mask1 = const.COLOR_BOUNDARIES['red & brown']
l_mask2, u_mask2 = const.COLOR_BOUNDARIES['red & hot pink']
range_txt = (f'Lower red HSV mask range: {l_mask1}, {u_mask1}\n'
f'Upper red HSV mask range: {l_mask2}, {u_mask2}\n'
' "red><red" joins "red & brown" and "red & hot pink"\n'
' masks to span red hues around the HSV colorspace.')
else:
lowerb, upperb = const.COLOR_BOUNDARIES[selected_color]
range_txt = (f'Pre-set BGR values for lower HSV bound: {lowerb}\n'
f'Pre-set BGR values for upper HSV bound: {upperb}\n\n')
# Note: these values need to be updated with those is used in find_colors().
# In 'else' statement, keep the same number of newlines as in True statement.
if self.radio_val['filter_pref'].get():
filter_txt = (
'cv2.bilateralFilter(src=your_img,\n'
f'{indent}d=0, sigmaColor=9, sigmaSpace=9,\n'
f'{indent}borderType=cv2.BORDER_REPLICATE)')
else: # is False, 'No' radiobutton selected
filter_txt = 'Not selected.\n\n'
if self.radio_val['redux_pref'].get():
redux_txt = (
'cv2.morphologyEx(src=your_mask,\n'
f'{bigindent}op=cv2.MORPH_HITMISS,\n'
f'{bigindent}kernel=element, iterations=1,\n'
f'{bigindent}borderType=cv2.BORDER_DEFAULT)\n'
'...with cv2.getStructuringElement(shape=cv2.MORPH_CROSS,\n'
f'{bigindent}ksize=(3, 3), anchor=(-1, -1))')
else: # is False, 'No' radiobutton selected
redux_txt = 'Not selected.\n\n\n\n\n'
# Text is formatted for clarity in window, terminal, and saved file.
self.color_settings_txt = (
f'Image used: {INPUT_PATH}\n\n'
f'Pre-set color selected: {selected_color}\n'
f'{range_txt}\n'
f'Image filter: {filter_txt}\n'
f'Mask noise reduction: {redux_txt}\n'
)
utils.display_report(frame=self.color_report_frame,
report=self.color_settings_txt)
def process_all(self, event=None) -> None:
"""
Runs all image processing methods and the settings report.
Called from every selector widget or its mouse binding.
Calls find_colors() and report_color_settings().
Args:
event: The implicit mouse button event.
Returns: *event* as a formality; is functionally None.
"""
selected_color = self.cbox_val['color_pref'].get()
# For user convenience, set sliders to match selected color,
# but don't allow changing sliders until 'Use sliders' is
# selected (as the first listed Combobox value).
if selected_color == self.color_list[0]:
for _s in self.slider_val:
self.slider[_s].config(state=tk.NORMAL)
self.find_colors()
else: # A color has been chosen from the Combobox.
(h_lo, s_lo, v_lo), (h_hi, s_hi, v_hi) = const.COLOR_BOUNDARIES[selected_color]
self.slider_val['H_min'].set(h_lo)
self.slider_val['S_min'].set(s_lo)
self.slider_val['V_min'].set(v_lo)
self.slider_val['H_max'].set(h_hi)
self.slider_val['S_max'].set(s_hi)
self.slider_val['V_max'].set(v_hi)
for _s in self.slider_val:
self.slider[_s].config(state=tk.DISABLED)
self.find_colors(color2find=selected_color)
self.report_color_settings()
return event
if __name__ == "__main__":
# Program exits here if the system platform or Python version check fails.
utils.check_platform()
vcheck.minversion('3.7')
arguments = manage.arguments()
INPUT_PATH = manage.arguments()['input']
# All checks are good, so define some additional run-specific constants...
INPUT_IMG = manage.input_metrics()['input_img']
GRAY_IMG = manage.input_metrics()['gray_img']
LINE_THICKNESS = manage.input_metrics()['line_thickness']
try:
app = ImageViewer()
app.title('Color Settings Report')
app.resizable(True, False)
print(f'{Path(__file__).name} is now running...')
app.mainloop()
except KeyboardInterrupt:
print('*** User quit the program from Terminal/Console ***\n')