Can't run process dlib in GPU

• face_recognition version: 1.2.3
• Python version:2.7
• Operating System:ubuntu16.04

Description

Hello, i’m tryng to running python code where the code run face_recognition library where is GPU required to run faster for dlib face_recognition run model CNN

i’m using NVIDIA GPU Cloud Image for Deep Learning and HPC to run the python script, then the python script main.py :

from PIL import Image
    import face_recognition
    from datetime import datetime
    
    start=datetime.now()
    # Load the jpg file into a numpy array
    image = face_recognition.load_image_file("com.jpg")
    
    face_locations = face_recognition.face_locations(image, number_of_times_to_upsample=0, model="cnn")
    face_encode = face_recognition.face_encodings(image, face_locations)
    
    
    print("I found {} face(s) in this photograph.".format(len(face_locations)))
    
    print(face_encode)
    
    
    print(datetime.now()-start)

here the driver of NVIDIA from nvidia-smi driver version 396.44 : https://i.stack.imgur.com/OY2eq.png

i have installed CUDA-Toolkit 9.2 and CUDNN, here the log when installed the dlib with GPU support: there have support CUDA will used for dlib https://i.stack.imgur.com/XrP7a.png

then i try to run the code main.py, but the process not running on NVIDIA GPU took 01:06.114585 any idea for this problem ? https://i.stack.imgur.com/bD9xR.png

[lkabongoCS]

i installed dlib first with pip then with sudo python setup.py install --yes USE_AVX_INSTRUCTIONS --yes DLIB_USE_CUDA are that possible python use dlib from pip version not from python setup.py ? i’m try installed like this step: $ git clone https://github.com/davisking/dlib.git $ cd dlib $ mkdir build $ cd build $ cmake … -DDLIB_USE_CUDA=1 -DUSE_AVX_INSTRUCTIONS=1 $ cmake --build . $ cd … $ python setup.py install --yes USE_AVX_INSTRUCTIONS --yes DLIB_USE_CUDA

• note i got successfull running on GPU, the problem is when making cmake --build . it’s on python3 but i think dlib installed on python2. my bad. Thank You

–yes is deprecated is there any other way to build ??

python setup.py install --set DLIB_USE_CUDA=1 --set USE_AVX_INSTRUCTIONS=1

[Datapirate-98]

how to install dlib with cuda support please provide the steps and which version of cuda supports the library plsss help… it will be a graet help to the developers community