CODEWITHSUNDEEP
pythonface-detectioncoredumpdlib
Abhishek Sachan
Abhishek Sachan

Reputation: 995

Illegal instruction (core dumped) while running Dlib Face detection

I am trying to run face_landmark_detection.py example sample which was provided by the Dlib library.

But when i am trying to run the command via ubuntu terminal I am getting error: 

Illegal instruction (core dumped)

I debug it so i get to know it is because of this line : 

win=dlib.image_window()

I guess something is wrong with this line

I am running code via this command:

./face_landmark_detection.py /home/abhishek/openCV/shape_predictor_68_face_landmarks.dat ../examples/faces

As done in the sample code. my code

        import sys
        import os
        import dlib
        import glob
        from skimage import io

        if len(sys.argv) != 3:
        print(
    "Give the path to the trained shape predictor model as the first "
    "argument and then the directory containing the facial images.\n"
    "For example, if you are in the python_examples folder then "
    "execute this program by running:\n"
    "    ./face_landmark_detection.py shape_predictor_68_face_landmarks.dat ../examples/faces\n"
    "You can download a trained facial shape predictor from:\n"
    "    http://sourceforge.net/projects/dclib/files/dlib/v18.10/shape_predictor_68_face_landmarks.dat.bz2")
            exit()

        predictor_path = sys.argv[1]
        faces_folder_path = sys.argv[2]

        print predictor_path
        print faces_folder_path

        detector = dlib.get_frontal_face_detector()
        predictor = dlib.shape_predictor(predictor_path)
        win = dlib.image_window()


        for f in glob.glob(os.path.join(faces_folder_path, "*.jpg")):

             print("Processing file: {}".format(f))
             img = io.imread(f)

             print "img",img
             win.clear_overlay()
             win.set_image(img)

# Ask the detector to find the bounding boxes of each face. The 1 in the
# second argument indicates that we should upsample the image 1 time. This
# will make everything bigger and allow us to detect more faces.
        dets = detector(img, 1)
        print("Number of faces detected: {}".format(len(dets)))
        for k, d in enumerate(dets):
               print("Detection {}: Left: {} Top: {} Right: {} Bottom:             {}".format(
        k, d.left(), d.top(), d.right(), d.bottom()))
    # Get the landmarks/parts for the face in box d.
            shape = predictor(img, d)
            print("Part 0: {}, Part 1: {} ...".format(shape.part(0),
                                              shape.part(1)))
    # Draw the face landmarks on the screen.
           win.add_overlay(shape)

    win.add_overlay(dets)
    dlib.hit_enter_to_continue()

Upvotes: 2

Views: 3281

Answers (2)

J. Kevin Corcoran
J. Kevin Corcoran

Reputation: 782

I just ran into this and it was because the python module was being compiled with SSE4 instructions but my CPU only supports SSE2. Open tools/python/CMakeLists.txt and edit the line

set(USE_SSE4_INSTRUCTIONS ON CACHE BOOL "Use SSE4 instructions")

In my case I changed it to 

set(USE_SSE2_INSTRUCTIONS ON CACHE BOOL "Use SSE2 instructions")

Upvotes: 1

Evgeniy
Evgeniy

Reputation: 2511

Looks like dlib can't create image window in your case. Possible reason of it - incorrect dlib installation. As Dlib's documentation describes (readme.txt), you should install it by running setup.py:

COMPILING DLIB Python API
   Before you can run the Python example programs you must compile dlib. Type:
       python setup.py install
   or type
       python setup.py install --yes USE_AVX_INSTRUCTIONS
   if you have a CPU that supports AVX instructions, since this makes some
   things run faster.

Also you will need libx11-dev installed (sudo apt-get install libx11-dev) before running setup.py

Check installation script messages to see any possible errors, and if you see them - update your question to describe situation

Upvotes: 2

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