打开Cv将珠宝图像添加到捕获的面部问题

Question

我已经实现了捕获图像并保存该图像的代码，之后我有了另一个将珠宝添加到捕获图像的代码，但我在将珠宝添加到捕获人脸时面临问题错误==>；“face_landmarks=face_landmarks_列表[0] 索引器：列表索引超出范围“
有人能帮我解决问题吗

image capturing code 
import cv2

cam = cv2.VideoCapture(0)

cv2.namedWindow("test")

img_counter = 0

while True:
    ret, frame = cam.read()
    if not ret:
        print("failed to grab frame")
        break
    cv2.imshow("test", frame)

    k = cv2.waitKey(1)
    if k%256 == 27:
        # ESC pressed
        print("Escape hit, closing...")
        break
    elif k%256 == 32:
        # SPACE pressed
        img_name = "opencv_frame_{}.png".format(img_counter)
        cv2.imwrite(img_name, frame)
        print("{} written!".format(img_name))
        img_counter += 1

cam.release()

cv2.destroyAllWindows()

-----下面是用于添加图像的代码-------- 进口cv2 导入人脸识别 来自PIL 导入图像，图像绘制 进口numpy

jewel_img = cv2.imread("jewelery.png")
frame = cv2.imread('akash.jpg')

frame = cv2.resize(frame, (432, 576))



# Returns a list of face landmarks present on frame
face_landmarks_list = face_recognition.face_landmarks(frame)
# For demo images only one person is present in image
face_landmarks = face_landmarks_list[0]

shape_chin = face_landmarks['chin']
# x, y cordinates on frame where jewelery will be added
x = shape_chin[3][0]
y = shape_chin[6][1]
# Jewelry width & height calculated using face chin cordinates
img_width = abs(shape_chin[3][0] - shape_chin[14][0])
img_height = int(1.02 * img_width)
jewel_img = cv2.resize(jewel_img, (img_width, img_height), interpolation = cv2.INTER_AREA)
jewel_gray = cv2.cvtColor(jewel_img, cv2.COLOR_BGR2GRAY)
# All pixels greater than 230 will be converted to white and others will be converted to black
thresh, jewel_mask = cv2.threshold(jewel_gray, 230, 255, cv2.THRESH_BINARY)
# Convert to black the background of jewelry image
jewel_img[jewel_mask == 255] = 0
# Crop out jewelry area from original frame
jewel_area = frame[y: y + img_height, x: x + img_width]
# bitwise_and will convert all black regions in any image to black in resulting image
masked_jewel_area = cv2.bitwise_and(jewel_area, jewel_area, mask = jewel_mask)
# add both images so that the black region in any image will result in another image non black regions being rendered over that area
final_jewel = cv2.add(masked_jewel_area, jewel_img)
# replace original frame jewel area with newly created jewel_area
frame[y: y + img_height, x: x + img_width] = final_jewel
# convert image to RGB format to read it in pillow library
rgb_img = cv2.cvtColor(frame, cv2.COLOR_BGR2RGB)
pil_img = Image.fromarray(rgb_img)
draw = ImageDraw.Draw(pil_img, 'RGBA')

draw.polygon(face_landmarks['left_eyebrow'], fill = (23, 26, 31, 100))
draw.polygon(face_landmarks['right_eyebrow'], fill = (23, 26, 31, 100))
draw.polygon(face_landmarks['top_lip'], fill = (158, 63, 136, 100))
draw.polygon(face_landmarks['bottom_lip'], fill = (158, 63, 136, 100))
draw.polygon(face_landmarks['left_eye'], fill = (23, 26, 31, 100))
draw.polygon(face_landmarks['right_eye'], fill = (23, 26, 31, 100))
# calculate x, y, radius
for ellipse to be drawn between two eyebrows
x_centre_eyebrow = face_landmarks['nose_bridge'][0][0]
y_centre_eyebrow = face_landmarks['left_eyebrow'][4][1]
r = int(1 / 4 * abs(face_landmarks['left_eyebrow'][4][0] - face_landmarks['right_eyebrow'][0][0]))

draw.ellipse((x_centre_eyebrow - r, y_centre_eyebrow - r, x_centre_eyebrow + r, y_centre_eyebrow + r), fill = (128, 0, 128, 100))
pil_img.show()


   

Answer 1

答案是错误的

face_landmarks = face_landmarks_list[0]

您需要检查是否检测到单个面

第二个代码应该从检查存储的列表长度开始

如果长度大于0，表示检测到某些面，则继续

# Returns a list of face landmarks present on frame
face_landmarks_list = face_recognition.face_landmarks(frame)

if len(face_landmarks_list) > 0:
    jewel_img = cv2.imread("jewelery.png")
    frame = cv2.imread('akash.jpg')

    frame = cv2.resize(frame, (432, 576))
    # For demo images only one person is present in image
    face_landmarks = face_landmarks_list[0]