from PyQt5.QtCore import QThread, pyqtSignal
import core.face_detection as ftm
from numpy import ndarray
import cv2


class CameraThread(QThread):
    new_frame = pyqtSignal(ndarray)
    storage_frame = pyqtSignal(ndarray)
    fps_signal = pyqtSignal(float)

    def __init__(self):
        super().__init__()
        self.cap = cv2.VideoCapture(0)
        self.fps = self.cap.get(cv2.CAP_PROP_FPS)

        self.face_detector = ftm.FaceDetector()
        self.running = True

    def run(self):
        while self.running:

            ret, frame = self.cap.read()
            if ret:
                rgb_image = cv2.cvtColor(frame, cv2.COLOR_BGR2RGB)
                img, bboxs = self.face_detector.find_faces(rgb_image)

                face_img = None
                max_roi = 0
                for bbox in bboxs:
                    try:
                        x, y, w, h = bbox[1]
                        if w * h > max_roi:
                            max_roi = w * h
                            face_img = img[y:y + h, x:x + w]
                    except:
                        pass

                self.new_frame.emit(img)
                if face_img is not None:
                    self.fps_signal.emit(self.fps)
                    self.storage_frame.emit(cv2.resize(face_img, (224, 224)))

    def stop(self):
        self.running = False
        self.wait()
        self.cap.release()