Uses pretraind Resnet50 on Places365 (https://github.com/CSAILVision/places365)
Supported operations: get_tags

pip3 install -r requirements.txt
You should install torch yourself https://pytorch.org/get-started/locally/.

generate_tags.py ./path_to_img_folder -> generates tags, places them in id_tags.txt
image_tags_web.py -> web microservice

build image - docker build -t qwertyforce/image_tags_web:1.0.0 --network host -t qwertyforce/image_tags_web:latest ./

run as deamon - docker run -d --rm -p 127.0.0.1:33341:33341 --network=ambience_net --name image_tags_web qwertyforce/image_tags_web:1.0.0