def show_frame():
_, frame = cap.read()
frame = cv2.flip(frame, 1)
if frame is not None:
gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)
face = face_cascade.detectMultiScale(gray, scaleFactor=1.2, minNeighbors=5, minSize=(20, 20))
rect = bb_to_rect(face)
if len(face) > 0:
shape1 = predictor(gray, rect.bb_to_rect_gen())
shape = face_utils.shape_to_np(shape1)
text = "{} face(s) found".format(len(face))
cv2.putText(frame, text, (10, 30), cv2.FONT_HERSHEY_SIMPLEX,
0.5, (0, 0, 255), 2)
for (x, y, w, h) in face:
cv2.rectangle(frame, (x, y), (x + w, y + h), (0, 255, 0), 2)
for (xx, yy) in shape:
cv2.circle(frame, (xx, yy), 1, (0, 0, 255), 5)
cv2image = cv2.cvtColor(frame, cv2.COLOR_BGR2RGBA)
img = Image.fromarray(cv2image)
imgtk = ImageTk.PhotoImage(image=img)
capturearea.imgtk = imgtk
capturearea.configure(image=imgtk)
capturearea.after(10, show_frame)
parameter_output = get_parameter_output(shape)
var.set(parameter_output)
def read_image():
file_path = 'cmp/user.jpg'
image = cv2.imread(file_path)
height, width, _ = image.shape
print(image.shape)
rect = bb_to_rect([[0, 0, width, height]])
shape1 = predictor(image, rect.bb_to_rect_gen())
al_final = preprocess_technique_using_triangle(image, shape1)
return al_final
def capture_face(frame):
gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)
face = face_cascade.detectMultiScale(gray, scaleFactor=1.2, minNeighbors=5, minSize=(20, 20))
rect = bb_to_rect(face)
shape1 = predictor(gray, rect.bb_to_rect_gen())
shape = face_utils.shape_to_np(shape1)
align = alignments(predictor=shape1, predictor_shape_np=shape, image=gray)
al = align.align()
cv2.imwrite('cmp/user.jpg', al)
parameter_output = get_parameter_output(shape)
text_file = open("cmp/parameter_output.txt", "wt")
n = text_file.write(parameter_output)
text_file.close()