Python+OpenCV实现实时眼动追踪的示例代码
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2020-09-18
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Python+OpenCV实现实时眼动追踪的示例代码实现实时眼动追踪的示例代码
主要介绍了Python+OpenCV实现实时眼动追踪的示例代码，文中通过示例代码介绍的非常详细，对大家的学习或者工作具有一定的参考学习价值，需要的朋友们下面随着小
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使用Python+OpenCV实现实时眼动追踪，不需要高端硬件简单摄像头即可实现，效果图如下所示。
项目演示参见：https://www.bilibili.com/video/av75181965/
项目主程序如下：
import sys
import cv2
import numpy as np
import process
from PyQt5.QtCore import QTimer
from PyQt5.QtWidgets import QApplication, QMainWindow
from PyQt5.uic import loadUi
from PyQt5.QtGui import QPixmap, QImage
class Window(QMainWindow):
def __init__(self):
super(Window, self).__init__()
loadUi('GUImain.ui', self)
with open("style.css", "r") as css:
self.setStyleSheet(css.read())
self.face_decector, self.eye_detector, self.detector = process.init_cv()
self.startButton.clicked.connect(self.start_webcam)
self.stopButton.clicked.connect(self.stop_webcam)
self.camera_is_running = False
self.previous_right_keypoints = None
self.previous_left_keypoints = None
self.previous_right_blob_area = None
self.previous_left_blob_area = None
def start_webcam(self):
if not self.camera_is_running:
self.capture = cv2.VideoCapture(cv2.CAP_DSHOW) # VideoCapture(0) sometimes drops error #-1072875772
if self.capture is None:
self.capture = cv2.VideoCapture(0)
self.camera_is_running = True
self.timer = QTimer(self)
self.timer.timeout.connect(self.update_frame)
self.timer.start(2)
def stop_webcam(self):
if self.camera_is_running:
self.capture.release()
self.timer.stop()
self.camera_is_running = not self.camera_is_running
def update_frame(self): # logic of the main loop
_, base_image = self.capture.read()
self.display_image(base_image)
processed_image = cv2.cvtColor(base_image, cv2.COLOR_RGB2GRAY)
face_frame, face_frame_gray, left_eye_estimated_position, right_eye_estimated_position, _, _ = process.detect_face(
base_image, processed_image, self.face_decector)
if face_frame is not None:
left_eye_frame, right_eye_frame, left_eye_frame_gray, right_eye_frame_gray = process.detect_eyes(face_frame,
face_frame_gray,
left_eye_estimated_position,
right_eye_estimated_position,
self.eye_detector)
if right_eye_frame is not None:
if self.rightEyeCheckbox.isChecked():
right_eye_threshold = self.rightEyeThreshold.value()
right_keypoints, self.previous_right_keypoints, self.previous_right_blob_area = self.get_keypoints(
right_eye_frame, right_eye_frame_gray, right_eye_threshold,
previous_area=self.previous_right_blob_area,
previous_keypoint=self.previous_right_keypoints)
process.draw_blobs(right_eye_frame, right_keypoints)
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