What is a pytorch snapshot and a Dlib model? (Running Hopenet)
I am trying to make Hopenet run on my computer, using the code on github

I have installed all required libraries. This is my forked code, with test_hopenet.py updated to python 3.

I installed all required libraries, and using pip install "pillow&lt;7" because of some old requirements.

python code/test_on_video_dlib.py --snapshot PATH_OF_SNAPSHOT --face_model PATH_OF_DLIB_MODEL --video PATH_OF_VIDEO --output_string STRING_TO_APPEND_TO_OUTPUT --n_frames N_OF_FRAMES_TO_PROCESS --fps FPS_OF_SOURCE_VIDEO




It looks like I am missing some basic understanding which is supposed to be obvious:


What is a SNAPSHOT? Where do I get one?
What is a Dlib Model? Where do I get the right one?


Again - I just want to make this code run, but I can't understand the instructions.

For the dlib model you can use:
https://github.com/davisking/dlib-models/mmod_human_face_detector.dat.bz2
For the snapshot path you can use hopenet_robust_alpha1.pkl downloadable from the link &quot;300W-LP, alpha 1, robust to image quality&quot; under Pretrained Models section of Nathanial Ruiz's README.md
