from __future__ import print_function
import cv2 as cv
import base64
import argparse
import image
from clock import Clock
import simpleaudio as sa


def detect_and_display(frame, face_cascade, eyes_cascade):
    frame_gray = cv.cvtColor(frame, cv.COLOR_BGR2GRAY)
    frame_gray = cv.equalizeHist(frame_gray)

    faces = face_cascade.detectMultiScale(frame_gray)

    for (x, y, w, h) in faces:
        # center = (x + w//2, y + h//2)
        frame = cv.rectangle(frame, (x, y), (x + w, y + h), 255)
        face_roi = frame_gray[y:y + h, x:x + w]
        eyes = eyes_cascade.detectMultiScale(face_roi)
        for (x2, y2, w2, h2) in eyes:
            # eye_center = (x + x2 + w2//2, y + y2 + h2//2)
            # radius = int(round((w2 + h2)*0.25))
            # frame = cv.circle(frame, eye_center, radius, (255, 0, 0 ), 4)
            frame = cv.rectangle(frame, (x + x2, y + y2), (x + x2 + w2, y + y2 + h2), 255)

    cv.imshow('Capture - Face detection', frame)

    if len(faces) > 0:
        retval, buf = cv.imencode('.jpg', frame)
        b64 = base64.b64encode(buf.tostring())
        return b64.decode('utf-8')
    else:
        return None


def main():
    parser = argparse.ArgumentParser(description='Code for Cascade Classifier tutorial.')

    parser.add_argument('--face_cascade', help='Path to face cascade.',
                        default=cv.data.haarcascades + 'haarcascade_frontalface_alt.xml')

    parser.add_argument('--eyes_cascade', help='Path to eyes cascade.',
                        default=cv.data.haarcascades + 'haarcascade_eye_tree_eyeglasses.xml')

    parser.add_argument('--camera', help='Camera divide number.', type=int, default=0)

    args = parser.parse_args()
    face_cascade_name = args.face_cascade
    eyes_cascade_name = args.eyes_cascade
    face_cascade = cv.CascadeClassifier()
    eyes_cascade = cv.CascadeClassifier()

    if not face_cascade.load(cv.samples.findFile(face_cascade_name)):
        print('--(!)Error loading face cascade')
        exit(0)
    if not eyes_cascade.load(cv.samples.findFile(eyes_cascade_name)):
        print('--(!)Error loading eyes cascade')
        exit(0)

    camera_device = args.camera

    cap = cv.VideoCapture(camera_device)

    fps = cap.get(cv.CAP_PROP_FPS)
    c = Clock(fps)

    if not cap.isOpened:
        print('--(!)Error opening video capture')
        exit(0)

    last_face_id = None

    while True:
        c.tick()
        print(c.countdown)
        ret, frame = cap.read()

        if frame is None:
            print('--(!) No captured frame -- Break!')
            break

        b64_img = detect_and_display(frame, face_cascade, eyes_cascade)

        if c.is_done() and b64_img is not None:
            print('{0} {1}'.format(len(b64_img), c.done))
            r = image.recognize(b64_img)
            face_id = r['FaceId']
            if face_id != last_face_id:
                last_face_id = face_id
                mnemonic = r['ExternalImageId']
                print(mnemonic)
            elif c.is_done():
                c.restart()

        if cv.waitKey(10) == 27:
            break


main()

from __future__ import print_function
import cv2 as cv
import base64
import argparse
import image
from clock import Clock
import simpleaudio as sa


def detect_and_display(frame, face_cascade, eyes_cascade):
    frame_gray = cv.cvtColor(frame, cv.COLOR_BGR2GRAY)
    frame_gray = cv.equalizeHist(frame_gray)

    faces = face_cascade.detectMultiScale(frame_gray)

    for (x, y, w, h) in faces:
        # center = (x + w//2, y + h//2)
        frame = cv.rectangle(frame, (x, y), (x + w, y + h), 255)
        face_roi = frame_gray[y:y + h, x:x + w]
        eyes = eyes_cascade.detectMultiScale(face_roi)
        for (x2, y2, w2, h2) in eyes:
            # eye_center = (x + x2 + w2//2, y + y2 + h2//2)
            # radius = int(round((w2 + h2)*0.25))
            # frame = cv.circle(frame, eye_center, radius, (255, 0, 0 ), 4)
            frame = cv.rectangle(frame, (x + x2, y + y2), (x + x2 + w2, y + y2 + h2), 255)

    cv.imshow('Capture - Face detection', frame)

    if len(faces) > 0:
        retval, buf = cv.imencode('.jpg', frame)
        b64 = base64.b64encode(buf.tostring())
        return b64.decode('utf-8')
    else:
        return None


def main():
    parser = argparse.ArgumentParser(description='Code for Cascade Classifier tutorial.')

    parser.add_argument('--face_cascade', help='Path to face cascade.',
                        default=cv.data.haarcascades + 'haarcascade_frontalface_alt.xml')

    parser.add_argument('--eyes_cascade', help='Path to eyes cascade.',
                        default=cv.data.haarcascades + 'haarcascade_eye_tree_eyeglasses.xml')

    parser.add_argument('--camera', help='Camera divide number.', type=int, default=0)

    args = parser.parse_args()
    face_cascade_name = args.face_cascade
    eyes_cascade_name = args.eyes_cascade
    face_cascade = cv.CascadeClassifier()
    eyes_cascade = cv.CascadeClassifier()

    if not face_cascade.load(cv.samples.findFile(face_cascade_name)):
        print('--(!)Error loading face cascade')
        exit(0)
    if not eyes_cascade.load(cv.samples.findFile(eyes_cascade_name)):
        print('--(!)Error loading eyes cascade')
        exit(0)

    camera_device = args.camera

    cap = cv.VideoCapture(camera_device)

    fps = cap.get(cv.CAP_PROP_FPS)
    c = Clock(fps)

    if not cap.isOpened:
        print('--(!)Error opening video capture')
        exit(0)

    last_face_id = None

    while True:
        c.tick()
        print(c.countdown)
        ret, frame = cap.read()

        if frame is None:
            print('--(!) No captured frame -- Break!')
            break

        b64_img = detect_and_display(frame, face_cascade, eyes_cascade)

        if c.is_done() and b64_img is not None:
            print('{0} {1}'.format(len(b64_img), c.done))
            r = image.recognize(b64_img)
            face_id = r['FaceId']
            if face_id != last_face_id:
                last_face_id = face_id
                mnemonic = r['ExternalImageId']
                print(mnemonic)
            elif c.is_done():
                c.restart()

        if cv.waitKey(10) == 27:
            break


main()

# center = (x + w//2, y + h//2) # eye_center = (x + x2 + w2//2, y + y2 + h2//2) # radius = int(round((w2 + h2)*0.25)) # frame = cv.circle(frame, eye_center, radius, (255, 0, 0 ), 4)