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Fenetre.py
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Fenetre.py
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# coding=utf-8
import Tkinter as tk
from File import File
import cv2 as cv2
from PIL import Image, ImageTk
from Image_Builder import Image_Builder
from Image_canvas import Image_canvas
from time import sleep
# root.mainloop()
from Menu import Menu
class Fenetre:
def __init__(self):
# fenetre de l'image
self.root = tk.Tk()
# canvas de l'image
self.canvas_image_WIDTH = 1280
self.canvas_image_HEIGHT = 720
self.canvas_image = tk.Canvas(
self.root,
width=self.canvas_image_WIDTH,
height=self.canvas_image_HEIGHT)
self.canvas_image.grid(row=0, column=0)
self.image = Image_canvas(self.canvas_image)
# menu && slider
self.menu = Menu(self)
def show_image(self, image_path=None, camera=False):
cap = None
image_imread = None
if camera:
cap = cv2.VideoCapture(0)
while True:
if cap is not None:
# camera
ret, frame = cap.read()
self.image.set_image(frame)
else:
# image from file
if image_path is None:
image_path = File.get_image(self.root)
if image_imread is None:
image_imread = cv2.imread(image_path)
self.image.set_image(image_imread.copy())
self.image.resize(self.canvas_image_HEIGHT)
self.traitement_image()
# update image
imageTmp = ImageTk.PhotoImage(image=Image.fromarray(self.image.image_cv2))
self.image.update_image_canvas(imageTmp)
self.canvas_image.update_idletasks()
self.canvas_image.update()
sleep(0.01)
def traitement_image(self):
# colors
image_colorless = Image_Builder(self.image.image_cv2) \
.extract_image_range_color(self.menu.slider_get_min_color(),
self.menu.slider_get_max_color()) \
.image
image_contours_raw = Image_Builder(image_colorless.copy()) \
.extract_contours(self.menu.slider.get("s_thresh").get()) \
.draw_contours(image=Image_Builder(image_colorless, image_type="black").image) \
.image
ib_result = Image_Builder(self.image.image_cv2, image_type="black")
nb_pictogrammes = [0]
if self.menu.show_image == 0:
# logo losange rouge
ib_contours = Image_Builder(image_colorless) \
.extract_contours(self.menu.slider.get("s_thresh").get()) \
.approximate_contours(lambda image_builder, contour:
image_builder.approximate_contour_polygon_pointes(
self.menu.slider.get("s_precision").get(),
contour,
return_contour=True)) \
.filter_contours_polygon(peak=self.menu.slider.get("s_peak").get()) \
.set_image(Image_Builder(image_colorless, image_type="black").image)
for position in range(30):
ib_contours.add_image(
Image_Builder(Image_Builder(image_colorless, image_type="black").image) \
.set_contours(ib_contours.contours) \
.extract_contour(position=position) \
.extract_inside_contour_from_contour() \
.if_do((lambda this, kwarg: this.contour is not None), # si double losange
(lambda this, kwarg: # alors on déssine les losanges
this.draw_contour(color=(0, 255, 0))
.draw_contour_line(color=(0, 255, 0))
.extract_contour(position=position)
.draw_contour(color=(0, 0, 255))
.draw_contour_line(color=(0, 0, 255))
))
.if_do((lambda this, kwarg: this.contour is not None), # si double losange
(lambda this, kwarg: this.add_number(kwarg[0], 1)), nb_pictogrammes) # ajoute un au pictogramme
.image
)
ib_result.add_image(ib_contours.image)
else:
# logo carré orange
ib_contours = Image_Builder(image_colorless) \
.extract_contours(self.menu.slider.get("s_thresh").get()) \
.approximate_contours(lambda image_builder, contour:
image_builder.approximate_contour_polygon_pointes(
self.menu.slider.get("s_precision").get(),
contour,
return_contour=True)) \
.filter_contours_polygon(peak=self.menu.slider.get("s_peak").get()) \
.set_image(Image_Builder(image_colorless, image_type="black").image)
for position in range(30):
ib_contours.add_image(
Image_Builder(Image_Builder(image_colorless, image_type="black").image) \
.set_contours(ib_contours.contours) \
.delete_all_inside_contour()
.extract_contour(position=position) \
.draw_contour(color=(0, 0, 255), image=Image_Builder(image_colorless, image_type="black").image) \
.draw_contour_line(color=(0, 0, 255)) \
.if_do((lambda this, kwarg: this.contour is not None), # si double losange
(lambda this, kwarg: this.add_number(kwarg[0], 1)), nb_pictogrammes) # ajoute un au pictogramme
.image
)
ib_result.add_image(ib_contours.image)
image_contours_approximate = ib_result.image
self.menu.set_number_result(nb_pictogrammes[0])
# mode d'affichage
mode = self.menu.mode
if mode == 0:
# affichage image brut + contours
self.image.image_cv2 = Image_Builder(self.image.image_cv2) \
.add_image(image_contours_approximate).image
elif mode == 1:
# affichage objet + contours
self.image.image_cv2 = Image_Builder(image_colorless) \
.add_image(image_contours_approximate).image
elif mode == 2:
# affichage contours
self.image.image_cv2 = image_contours_approximate
elif mode == 3:
# affichage objet + ROI
self.image.image_cv2 = Image_Builder(image_colorless) \
.add_image(image_contours_raw).image
else:
# affichage ROI
self.image.image_cv2 = image_contours_raw