Make sure you have python, OpenFace and dlib installed. You can either install them manually or use a preconfigured docker image that has everying already installed:
docker pull bamos/openface
docker run -p 9000:9000 -p 8000:8000 -t -i bamos/openface /bin/bash
cd /root/openface
Make a folder called /training-images/
somewhere on your computer.
Make a subfolder for each person you want to recognize. For example:
/training-images/will-ferrell/
/training-images/chad-smith/
/training-images/jimmy-fallon/
Copy all your images of each person into the correct sub-folders
Run the openface scripts from inside the openface root directory:
First, do pose detection and alignment:
./util/align-dlib.py ./training-images/ align outerEyesAndNose ./aligned-images/ --size 96
Second, generate the representations from the aligned images:
./batch-represent/main.lua -outDir ./generated-embeddings/ -data ./aligned-images/
When you are done, the ./generated-embeddings/
folder will contain a csv file with the embeddings for each image.
When executing lua batch-represent/main.lua -outDir generated-embeddings -data aligned-images I got :
table: 0x56399ed5d410
aligned-images
cache lotation: /mnt/c/Users/aleksandra/Desktop/Diplomski/openface/aligned-images/cache.t7
Creating metadata for cache.
table: 0x56399ee143d0
running "find" on each class directory, and concatenate all those filenames into a single file containing all image paths for a given class
now combine all the files to a single large file
load the large concatenated list of sample paths to self.imagePath
Segmentation fault
Did someone have this problem? Please, help