Face_recognition: Raspberry pi ValueError

[smitshilu]

• Python version: 2.7
• Operating System: raspbian

Description

When I am running script facerec_on_raspberry_pi.py it gives me following error:
ValueError: buffer object must be one-dimensional and have unsigned byte format ("B")

[smitshilu]

Solved with setting a writable flag using array.setflags(write=True)

[leotaglia]

Hi, can you post the fixed example code? I have the same issue and is not resolved setting the array to write=true.

[smitshilu]

I am using PiCamera for capturing frames and I am using it like this

with picamera.PiCamera() as camera:
    with picamera.array.PiRGBArray(camera) as stream:
        for frame in camera.capture_continuous(stream, 'bgr', use_video_port=True):
            frame_array = frmae.array
            frame_array.setflags(write=True)
            # rest of the process

[YingUK]

Hi @smitshilu, I have seen the same issue. Follow your fix, i still cannot run the code successfully. is that possible to attach the full file here ? Thank you so much in advance.

[charlie6004]

It's probably using python2. If you check picamera doc(Chapter Capture to a numpy array) ( doc link), you'll find for python 2.X, the buffer object must be 1-dimensional. For the case, the solution is remove output = np.empty((240, 320, 3), dtype=np.uint8) and change a few lines in the while loop like this
output = np.numpy((240*320*3,),dtype=np.uint8)
camera.capture(output, format='rgb')
output = output.reshape((240,320,3))

[yavana]

Hi @smitshilu, I have seen the same issue. Follow your fix, i still cannot run the code successfully. is that possible to attach the full file here ? Thank you so much in advance.

[smitshilu]

Hello,
My code is something like this. For more information regarding your issue please attach what error are you getting to debug the program.

with picamera.PiCamera() as camera:
    with picamera.array.PiRGBArray(camera) as stream:
        for frame in camera.capture_continuous(stream, 'bgr', use_video_port=True):
            frame_array = frmae.array
            frame_array.setflags(write=True)
            dets = detector(frame_array, 1)
            for i, d in enumerate(dets):
                print("Detection {}: Left: {} Top: {} Right: {} Bottom: {}".format(i, d.left(), d.top(), d.right(), d.bottom()))
                cv2.rectangle(img, (d.left(),d.top()), (d.right(), d.bottom()), (0, 0, 255), 3)