Question

我有两个代码：第一个代码从实时Feed中检测到面部，第二个代码从WebCam中捕获图像。

我想在一个Python文件中附加这些代码，因此首先检测到面部，然后仅为面部捕获图像。

以下是代码：

捕捉脸部

import cv2
video_capture = cv2.VideoCapture(0)

# Capture frame
ret, frame = video_capture.read()

# Write frame in file
cv2.imwrite('image.jpg', frame)

# When everything is done, release the capture
video_capture.release()

检测到脸部

import cv2
import sys

faceCascade = cv2.CascadeClassifier('haarcascade_frontalface_default.xml')

video_capture = cv2.VideoCapture(0)

while True:
    # Capture frame-by-frame
    ret, frame = video_capture.read()

    gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)

    faces = faceCascade.detectMultiScale(
        gray,
        scaleFactor=2.0,
        minNeighbors=5,
        minSize=(30, 30),
        flags=cv2.cv.CV_HAAR_SCALE_IMAGE
    )

    # Draw a rectangle around the faces
    for (x, y, w, h) in faces:
        cv2.rectangle(frame, (x, y), (x+w, y+h), (0, 255, 0), 2)

    # Display the resulting frame
    cv2.imshow('Video', frame)

    if cv2.waitKey(1) & 0xFF == ord('q'):
        break

# When everything is done, release the capture
video_capture.release()
cv2.destroyAllWindows()

我希望这两个脚本在一个脚本中协同工作。

此致

Answer 1

你很亲密！只需切片找到面x，y位置的框架数组。此外，如果要保存灰色图像，请将框架替换为灰色。

仅保存网络摄像头中的面部（颜色）

import cv2
import sys

faceCascade = cv2.CascadeClassifier('haarcascade_frontalface_default.xml')

video_capture = cv2.VideoCapture(0)

while True:
    # Capture frame-by-frame
    ret, frame = video_capture.read()

    gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)

    faces = faceCascade.detectMultiScale(
        gray,
        scaleFactor=2.0,
        minNeighbors=5,
        minSize=(30, 30),
        flags = 0
        #flags=cv2.cv.CV_HAAR_SCALE_IMAGE
    )

    # Draw a rectangle around the faces
    for (x, y, w, h) in faces:
        cv2.rectangle(frame, (x, y), (x+w, y+h), (0, 255, 0), 2)

    # Display the resulting frame
    cv2.imshow('Video', frame)

    if cv2.waitKey(1) & 0xFF == ord('q'):
        # Write frame in file
        for (x, y, w, h) in faces:
            cv2.rectangle(frame, (x, y), (x+w, y+h), (0, 255, 0), 2)        
            cv2.imwrite('only_face.jpg', frame[y:y+h,x:x+w])
        break

# When everything is done, release the capture
video_capture.release()
cv2.destroyAllWindows()

正如@Antti Haapala所说，不要只是要求做一些事情ASAP。告诉我们您尝试了哪种方式以及您面临的挑战。

附加两个单独的Python代码

1 个答案: