In the project we were required to create a system for deep learning of recognizing 7 fonts for English letters and signs. I chose for this purpose to create my own model. I chose to work in Google Colab because I do not have a powerful video card in my computer.
#For running the TEST: Download the model and weights from the link below (final_model.json), (final_model.h5): final_model.h5- https://drive.google.com/file/d/1-2XLtBSAZwQmzJh9oaAJA0TxI7PU1Hm-/view?usp=sharing final_model.json- https://drive.google.com/file/d/1pD_YyBVhc1W09XoMrn3qNhYgsvd9ZIcX/view?usp=sharing
Put these two files, as well as in addition the file of the training set we received SynthText.h5 and the test set we received SynthText_test.h5 in the TEST folder. (Update projectTest.py with file names if necessary)
The files that should be in the TEST folder eventually: • Final_model.h5 (my model) • Final_model.json (my model) • SynthText.h5 (we received) • SynthText_test.h5 (we received) • projectTest.py (my test)
Then you can run the projectTest.py file and it will export the prediction file to predictionsFonts.csv.