A web-application made with Python and Flask for Digital Strawberries analytics.
- Clone the repository
- Move to the application folder by using
cd digital_strawberry
- Download models' weights from
https://drive.google.com/drive/folders/1kM1wPDtVeGIntN4ZmYwpxC1S_lP03s-x?usp=sharing
- Put the weights to the
data
directory, to have the follwogin structure:
data/models/phase/en_v1/chekpoint.h5
data/models/health/en_v1/chekpoint.h5
data/models/segmentation/v1/chekpoint009.h5
- Install requirements from
requiremtns.txt
. Important - make sure to have correct version oftensorflow
. - Run the application with
python app.py
- After the server is initialized go to
127.0.0.1:5000
You can find our synthetic data used for trainng segmentation model here:
https://drive.google.com/drive/u/1/folders/1TbUACCR6kxPN2-UVMcEVImdDhxNgJ7yR