Facial recognition on video

1. Create a conda environment .conda

2. Clone and build dlib from source:

$ git clone https://github.com/davisking/dlib.git
$ cd dlib
$ mkdir build
$ cd build
$ cmake .. -DDLIB_USE_CUDA=1 -DUSE_AVX_INSTRUCTIONS=1 -DCUDAToolkit_ROOT=/path/to/your/nvcc/bin/
$ cmake --build .
$ cd ..
$ python setup.py install --set DLIB_USE_CUDA=1

3. Install dependencies:

$ cd project/
$ pip install -r requirements.txt

4. Put face images of people you want to recognize to project/Image with file name {person_name}0.jpg

5. Image augmentation:

$ cd Image/
$ python augmentation.py

6. Image encode:

$ python encode.py
$ cd ..

7. Run Django server:

$ python manage.py makemigrations
$ python manage.py migrate
$ python manage.py runserver

8. Post video:

• Using Postman:

• Using video upload site:

9. Download video

This is changed using Gitlab This is added after add in new branch