Detection of Covid-19 from X-ray images

python3 TRAIN.py -d dataset/test -m model_name.hdf5

NOTE :

• Model with model_name.hdf5 will save in SavedModel directory.
• ep variable in TRAIN.py file is epoch count. you can change it.

example:

python3 TRAIN.py -d dataset/test -m amin.hdf5

result:

python3 test_model_10_images.py -d dataset/validation -m model_name.hdf5

load 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.hdf5

for 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.env file
• run sudo docker-compose up -d
• open docs http://host:8838/docs

• Work In Progress

• Flutter Version will develope by @EhsanTgv