def main():
if canvas_instruction_validator():
cleaned_data = canvas_instruction_validator()
canvas = initialize_canvas(cleaned_data)
draw_into_output(canvas)
all_instructions = get_instructions()
if all_instructions:
for instruction in all_instructions:
instruction = instruction.split()
if pre_validate_instruction(instruction):
command, parameters = pre_validate_instruction(instruction)
if command == 'L' and line_validator(
cleaned_data, parameters):
clean_parameters = line_validator(
cleaned_data, parameters)
add_line(canvas, clean_parameters)
draw_into_output(canvas)
elif command == 'R' and rectangle_validator(
cleaned_data, parameters):
clean_parameters = rectangle_validator(
cleaned_data, parameters)
coordinates = get_coordinates_to_draw_rect_with_addline_function(
clean_parameters)
add_rectangle(canvas, coordinates)
draw_into_output(canvas)
elif command == 'B' and flood_fill_validator(
cleaned_data, parameters):
pos_x, pos_y, color = flood_fill_validator(
cleaned_data, parameters)
to_flood_fill(canvas, pos_x, pos_y, color)
draw_into_output(canvas)
import cv2
import numpy as np
import time
cap = cv2.VideoCapture(0)
# To use a video file as input
# cap = cv2.VideoCapture('filename.mp4')
while True:
timer = cv2.getTickCount()
_, img = cap.read()
img = cv2.flip(img, 1)
faces, eyes = functions.true_eyes_and_faces(img)
mouths = functions.detect_mouths(img)
noses = functions.detect_noses(img)
functions.add_rectangle(img, faces)
true_mouths, faces_mouths_noses = functions.best_mouth_to_face(
mouths, faces)
functions.add_rectangle(img, true_mouths, (0, 255, 0)) # groen
true_noses = functions.best_nose_to_face(noses, faces, faces_mouths_noses)
functions.add_rectangle(img, true_noses, (0, 255, 255)) # geel
functions.mask_due_haar(img, faces_mouths_noses)
fps = int(cv2.getTickFrequency() / (cv2.getTickCount() - timer))
cv2.putText(img, str(fps), (50, 50), cv2.FONT_HERSHEY_COMPLEX, 1,
(255, 0, 0))
cv2.imshow('img', img)
# Stop if escape key is pressed
k = cv2.waitKey(30) & 0xff
if k == 27:
break
import numpy as np
import time
cap = cv2.VideoCapture(0)
# To use a video file as input
# cap = cv2.VideoCapture('filename.mp4')
while True:
_, img = cap.read()
img = cv2.flip(img, 1)
img1 = img.copy()
faces1 = functions.detect_faces(img)
faces, eyes = functions.true_eyes_and_faces(img)
mouths = functions.detect_mouths(img)
noses = functions.detect_noses(img)
functions.add_rectangle(img1, mouths)
functions.add_rectangle(img, faces) # blauw
functions.add_rectangle(img, eyes, (0, 0, 255)) # rood
true_mouths, faces_mouths_noses = functions.best_mouth_to_face(mouths, faces)
true_noses = functions.best_nose_to_face(noses, faces, faces_mouths_noses)
functions.add_rectangle(img, true_noses, (0, 255, 255)) # geel
functions.add_rectangle(img, true_mouths, (0, 255, 0)) # groen
pos = []
for face in faces:
middle_pos = functions.middle_position(face)
pos.append(middle_pos)
for (x, y) in pos:
cv2.circle(img, (x, y), 5, (0, 0, 255), -1)
cv2.imshow('img', img)
cv2.imshow('img1', img1)
# Stop if escape key is pressed
while True:
# Read the frame
_, img = cap.read()
img = cv2.flip(img, 1)
img1 = img.copy()
faces = functions.detect_faces(img)
eyes = functions.detect_eyes(img)
true_eyes, true_faces = functions.true_eyes_and_faces(img)
functions.add_counter(img1, faces)
functions.add_counter(img1, eyes, (100, 50), (0, 255, 0))
functions.add_counter(img, true_faces)
functions.add_counter(img, true_eyes, (100, 50), (0, 255, 0))
functions.add_rectangle(img1, faces)
functions.add_rectangle(img1, eyes, (0, 255, 0))
functions.add_rectangle(img, true_faces)
functions.add_rectangle(img, true_eyes, (0, 255, 0))
# Display
cv2.imshow('origineel', img1)
cv2.imshow('echte gezichten', img)
# Stop if escape key is pressed
k = cv2.waitKey(30) & 0xff
if k == 27:
break
# Release the VideoCapture object
cap.release()
import functions
import cv2
import numpy as np
import time
cap = cv2.VideoCapture(0)
# To use a video file as input
# cap = cv2.VideoCapture('filename.mp4')
while True:
timer = cv2.getTickCount()
_, img = cap.read()
img = functions.resize_image(img, 100)
img = cv2.flip(img, 1)
faces1 = functions.detect_faces(img)
faces, eyes = functions.true_eyes_and_faces(img)
functions.add_rectangle(img, faces)
functions.mask_due_color(img, faces)
fps = int(cv2.getTickFrequency() / (cv2.getTickCount() - timer))
cv2.putText(img, str(fps), (50, 50), cv2.FONT_HERSHEY_COMPLEX, 1,
(255, 0, 0))
img = functions.resize_image(img, 100)
cv2.imshow('img', img)
# Stop if escape key is pressed
k = cv2.waitKey(30) & 0xff
if k == 27:
break
# Release the VideoCapture object
cap.release()