Can't get face location with GPU process

[blinkbink]

Python : 3.5.6 Face_recognition : 1.2.3 dlib : 19.16.99 GPU : Tesla P100 16Gb

hello, i have problem when working with face on ID Card on my country, many ID card can detect the face location. But sometime i can't get face location with this line code. I have try add more in upsample like 5 (but got memory allocation) :

face_locations = face_recognition.face_locations(id_card, number_of_times_to_upsample=1, model="cnn")
compare_encode = face_recognition.face_encodings(idcard, face_locations)[0]
print(face_locations)

any advices for this ? Thank you

[Darren-2018]

i have finish the problem, at the facerec_from_video_file.py

while True:

Grab a single frame of video

ret, frame = input_movie.read()
frame_number += 1

# Quit when the input video file ends
if not ret:
    break
if frame_number%5==0:
    # Convert the image from BGR color (which OpenCV uses) to RGB color (which face_recognition uses)
    rgb_frame = frame[:, :, ::-1]
    frames.append(rgb_frame)
    # Find all the faces and face encodings in the current frame of video
    if len(frames) == 1:
        batch_face_locations = 
                             face_recognition.batch_face_locations(frames,number_of_times_to_upsample=0)
        for face_locations in batch_face_locations:
            face_encodings = face_recognition.face_encodings(rgb_frame, face_locations)

            face_names = []
        for face_encoding in face_encodings:
            # See if the face is a match for the known face(s)
            match = face_recognition.compare_faces(known_faces, face_encoding, tolerance=0.415)

            # If you had more than 2 faces, you could make this logic a lot prettier
            # but I kept it simple for the demo
            name = None
            if match[0]:
                name = "Cui Xianghui"
            elif match[1]:
                name = "Li Dongsheng"
            elif match[2]:
                name = "Liu Jianfeng"
            elif match[3]:
                name = "Liu Donggang"
            elif match[4]:
                name = "Sun Xingxing"
            elif match[5]:
                name = "Yan Zhiyong"
            face_names.append(name)

        # Label the results
        for (top, right, bottom, left), name in zip(face_locations, face_names):
            if not name:
                continue

            # Draw a box around the face
            cv2.rectangle(frame, (left, top), (right, bottom), (0, 0, 255), 2)

            # Draw a label with a name below the face
            cv2.rectangle(frame, (left, bottom - 25), (right, bottom), (0, 0, 255), cv2.FILLED)
            font = cv2.FONT_HERSHEY_DUPLEX
            cv2.putText(frame, name, (left + 6, bottom - 6), font, 0.5, (255, 255, 255), 1)

        # Write the resulting image to the output video file
        print("Writing frame {} / {}".format(frame_number, length))
        output_movie.write(frame)
        frames=[]
else:
    output_movie.write(frame)