ageitgey / ageitgey/face_recognition
Google Colab is not using GPU
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- Python
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Description
- face_recognition version:'1.2.3'
- Python version: python3
- Operating System:
face_recognition library not using google colab gpu
I am following this tutorial
https://www.pyimagesearch.com/2018/06/18/face-recognition-with-opencv-python-and-deep-learning/
I have installed library in google colab like this:
!apt-get install libjpeg-dev libpng-dev libtiff-dev
!apt-get install libavcodec-dev libavformat-dev libswscale-dev libv4l-dev
!apt-get install libxvidcore-dev libx264-dev
!apt-get install libgtk-3-dev
!apt-get install libatlas-base-dev
!apt-get install gfortran
!apt-get install python3-dev
!apt-get -qq install -y libsm6 libxext6 && pip install -q -U opencv-python
import cv2
print(cv2.version)
Install dlib library
!apt update
!apt install -y cmake
!pip install dlib
import dlib
import dlib.cuda as cuda
print(cuda.get_num_devices())
dlib.DLIB_USE_CUDA=1
dlib.USE_AVX_INSTRUCTIONS=1
Install face_recognition library
!pip install face_recognition
import face_recognition
face_recognition.version
!pip install imutils
# After installing all the library & importing dataset, then i run following command
!python encode_faces.py --dataset dataset --encodings encodings.pickle
Contributor guide
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
The issue names no repository file or test; the only entry point mentioned is encode_faces.py, run after installing dlib and face_recognition in Google Colab. Start by reproducing the installation and checking dlib.cuda.get_num_devices() before running that command. Done means establishing whether the reported GPU behavior is reproducible and identifying the project-level change or documentation needed.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- opencv, python
- Domain
- computer-vision, machine-learning
- Issue type
- Bug
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100