Detection of Covid-19 from X-ray images
python3 TRAIN.py -d dataset/test -m model_name.hdf5NOTE :
- Model with
model_name.hdf5will save in SavedModel directory. epvariable in TRAIN.py file is epoch count. you can change it.
example:
python3 TRAIN.py -d dataset/test -m amin.hdf5python3 test_model_10_images.py -d dataset/validation -m model_name.hdf5load and show 10 labeled samples
example:
python3 test_model_1_image.py -i path_to_image -m path_to_model
example:
python3 test_model_1_image.py -i ./dataset/one/covid/Chest.jpeg -m ./SavedModel/amin.hdf5for gathering more images and make the dataset better, I create e simple API for upload the X-RAY image like below examples: The uploaded image will validate after upload and the server return label of the image. Label my be incorrect. (because of the low count of images in the dataset).
- add mongodb address to
conf.envfile - run
sudo docker-compose up -d - open docs
http://host:8838/docs
- Work In Progress
- Flutter Version will develope by @EhsanTgv




