# Python使用dlib（face_recognition）调整裁剪后的人脸图像的边距

##### 问题描述投票：1回答：1

``````import face_recognition
import cv2

img_rgb = cv2.cvtColor(img, cv2.COLOR_BGR2RGB)

face_locations = face_recognition.face_locations(img_rgb)

for top, right, bottom, left in face_locations:
# Draw a box around the face
cv2.rectangle(img, (left, top), (right, bottom), (0, 0, 255), 2)

crop_img = img_rgb[top:bottom, left:right]
cv2.imwrite('test_crop.png', crop_img)
``````
python opencv crop face-recognition dlib
##### 1个回答
0

``````import face_recognition
import cv2

img_rgb = cv2.cvtColor(img, cv2.COLOR_BGR2RGB)
img_rgb_copy = img_rgb.copy()

## Define scale factor and window size
scale_factor = 1.1
sz1 = img_rgb.shape[1] * 2
sz2 = img_rgb.shape[0] * 2

face_locations = face_recognition.face_locations(img_rgb)

for top, right, bottom, left in face_locations:
# Draw a box around the face
#cv2.rectangle(img, (left, top), (right, bottom), (0, 0, 255), 2)

crop_img = img_rgb[top:bottom, left:right]
#cv2.imwrite('test_crop.png', crop_img)

## Calculate center points and rectangle side length
width = right - left
height = bottom - top
cX = left + width // 2
cY = top + height // 2
M = (abs(width) + abs(height)) / 2

## Get the resized rectangle points
newLeft = max(0, int(cX - scale_factor * M))
newTop = max(0, int(cY - scale_factor * M))
newRight = min(img_rgb.shape[1], int(cX + scale_factor * M))
newBottom = min(img_rgb.shape[0], int(cY + scale_factor * M))

## Draw the circle and bounding boxes
cv2.circle(img_rgb_copy, (cX, cY), radius=0, color=(0, 0, 255), thickness=2)
cv2.rectangle(img_rgb_copy, (left, top), (right, bottom), (0, 0, 255), 2)
cv2.rectangle(img_rgb_copy, (newLeft, newTop), (newRight, newBottom), (255, 0, 0), 2)

## Show the original image in window resized to double
cv2.namedWindow('image', cv2.WINDOW_NORMAL)
cv2.resizeWindow('image', sz1, sz2)
cv2.imshow("image", img_rgb_copy)
cv2.waitKey(0)

cv2.destroyAllWindows()
``````

``````width = right - left
height = bottom - top

centerX = left + (width / 2)
centerY = top + (height / 2)

M = (abs(width) + abs(height)) / 2

0 <= p < 1, for smaller crop than given in a side
p > 1, for larger crop margin
``````

https://www.desmos.com/calculator/bgn9dobkjt