fanfuhan OpenCV 教學091 ~ opencv-091-對象檢測(HAAR級聯檢測器使用) [人臉 定位/偵測/抓取/擷取]

資料來源: https://fanfuhan.github.io/

https://fanfuhan.github.io/2019/05/09/opencv-091/

GITHUB:https://github.com/jash-git/fanfuhan_ML_OpenCV

HAAR級聯檢測器，OpenCV中的HAAR級聯檢測器支持人臉檢測、微笑、眼睛與嘴巴檢測等，通過加載這些預先訓練的HAAR模型數據可以實現相關的對象檢測。

C++

#include <opencv2/opencv.hpp>
#include <iostream>

using namespace cv;
using namespace std;
CascadeClassifier faceDetector;
String haar_data_file = "D:/opencv-4.0.0/opencv/build/etc/haarcascades/haarcascade_frontalface_alt_tree.xml";
int main(int artc, char** argv) {
	Mat frame, gray;
	vector<Rect> faces;
	VideoCapture capture(0);
	faceDetector.load(haar_data_file);
	namedWindow("frame", WINDOW_AUTOSIZE);
	while (true) {
		capture.read(frame);
		cvtColor(frame, gray, COLOR_BGR2GRAY);
		equalizeHist(gray, gray);
		faceDetector.detectMultiScale(gray, faces, 1.2, 1, 0, Size(30, 30), Size(400, 400));
		for (size_t t = 0; t < faces.size(); t++) {
			rectangle(frame, faces[t], Scalar(0, 0, 255), 2, 8, 0);
		}
		char c = waitKey(10);
		if (c == 27) {
			break;
		}
		imshow("frame", frame);
	}

	waitKey(0);
	return 0;
}

Python

"""
对象检测(HAAR级联检测器使用)
"""

import cv2 as cv

capture = cv.VideoCapture(0)
detector = cv.CascadeClassifier(cv.data.haarcascades + "haarcascade_frontalface_alt.xml")

while True:
    ret, image = capture.read()
    if not ret:
        break

    faces = detector.detectMultiScale(image, scaleFactor=1.05,
                                      minNeighbors=1, minSize=(30, 30), maxSize=(200, 200))
    for x, y, width, height in faces:
        cv.rectangle(image, (x, y), (x + width, y + height), (0, 0, 255),
                     2, cv.LINE_8, 0)
    cv.imshow("faces", image)

    c = cv.waitKey(50)
    if c == 27:
        break

cv.destroyAllWindows()