给定边界框的人脸验证

Question

我正在使用 face_recognition 的 python 库进行人脸识别演示。

 # Grab a single frame of video
    ret, frame = video_capture.read()

    # Resize frame of video to 1/4 size for faster face recognition processing
    small_frame = cv2.resize(frame, (0, 0), fx=0.25, fy=0.25)

    # Convert the image from BGR color (which OpenCV uses) to RGB color (which face_recognition uses)
    rgb_small_frame = small_frame[:, :, ::-1]

    # Only process every other frame of video to save time
    # Find all the faces and face encodings in the current frame of video
    face_locations = face_recognition.face_locations(rgb_small_frame) 

上面的代码，据我所知，检测给定框架中不同大小的人脸。 如果我想绘制一个边界框，并且如果该边界框上有一个人脸，那么只有那个人脸应该用于进一步处理。 我的 CPU 不会检测整个帧中不同大小的人脸，而只能从具有固定大小的感兴趣区域检测人脸。

Answer 1

复制图像，将其裁剪为仅边界框，然后在新裁剪的图像上运行人脸识别。

# Convert the image from BGR color (which OpenCV uses) to RGB color (which face_recognition uses)
rgb_small_frame = small_frame[:, :, ::-1]
#crop image based on some bounding box
rgb_cropped = rgb_small_frame[boundy1:boundy2,boundx1,boundx2]

# Only process every other frame of video to save time
# Find all the faces and face encodings in the current frame of video
face_locations = face_recognition.face_locations(rgb_cropped) 

Answer 2

你为什么不试试deepface？ 它通过一行代码实时应用人脸识别。

#!pip install deepface
from deepface import DeepFace
DeepFace.stream(db_path = "C:/my_db")

在这里，您应该将面部图像数据库存储在 C:/my_db 文件夹中。