在 Python 中使用 OpenCV 从图像中裁剪人脸

Cropping faces from an image using OpenCV in Python

我目前正在尝试从图像中裁剪人脸。

无论图像中有多少张面孔,我都希望代码能够正常工作。

输入图片示例: Image with faces

我想裁剪脸部,这样我就可以 运行 对它们进行面部关键点检测算法(以前制作)。

最终结果将如下所示: Image after facial keypoint detection

我的代码目前是:

# Load in color image for face detection
image = cv2.imread('images/obamas4.jpg')

# Convert the image to RGB colorspace
image = cv2.cvtColor(image, cv2.COLOR_BGR2RGB)

# Make a copy of the original image to draw face detections on
image_copy = np.copy(image)

# Convert the image to gray 
gray_image = cv2.cvtColor(image, cv2.COLOR_RGB2GRAY)

# Detect faces in the image using pre-trained face dectector
faces = face_cascade.detectMultiScale(gray_image, 1.25, 6)

# Print number of faces found
print('Number of faces detected:', len(faces))

# Get the bounding box for each detected face
for f in faces:
    x, y, w, h = [ v for v in f ]
    cv2.rectangle(image_copy, (x,y), (x+w, y+h), (255,0,0), 3)
    # Define the region of interest in the image  
    face_crop = gray_image[y:y+h, x:x+w]

# Display the image with the bounding boxes
fig = plt.figure(figsize = (9,9))
axl = fig.add_subplot(111)
axl.set_xticks([])
axl.set_yticks([])

ax1.set_title("Obamas with Face Detection")
axl.imshow(image_copy)

# Display the face crops
fig = plt.figure(figsize = (9,9))
axl = fig.add_subplot(111)
axl.set_xticks([])
axl.set_yticks([])

axl.set_title("Obamas Face Crops")
axl.imshow(face_crop)

输出如下所示: enter image description here

现在它只输出图像中检测到的最后一张脸。我确定我遗漏了一些简单的东西,比如 for 循环。

我希望能够 运行 我的面部关键点检测算法适用于所有灰色裁剪面部图像。

感谢您的帮助!

问题出在您的代码中,face_crop 仅存储最后检测到的人脸。

所以把它做成一个列表并将所有的面孔附加到它上面。然后使用 for 循环显示所有面孔。像这样:

face_crop = []
for f in faces:
    x, y, w, h = [ v for v in f ]
    cv2.rectangle(image_copy, (x,y), (x+w, y+h), (255,0,0), 3)
    # Define the region of interest in the image  
    face_crop.append(gray_image[y:y+h, x:x+w])

for face in face_crop:
    cv2.imshow('face',face)
    cv2.waitKey(0)

我使用 cv2.imshow() 来显示图像。您可以修改它以使用 plt.imshow()

希望对您有所帮助!