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2017-07-25T20:27:27+00:00
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
#include
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 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()
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