model_v3.json
model_v3_3.h5
are the files containing the architecture and weights of the carplate detection model respectively. (model_v3_3.h5
is too big, so it can’t be uploaded)
model_box.ipynb
is the Jupyter file where the data is processed, and where the model is trained and tested.
charloc3.py
is the file containing the algorithm which ascertains the position of each character in the carplate. It incudes both the contour detection, and the determining of the order of the characters.
charcollectedvgg.json
charcollectedvgg.h5
are the files containing the architecture and weights of the character recognition model respectively.
model_chardetect.ipynb
is the Jupyter file where the training and validation data is generated, and where the model is trained and tested.
detect_plate1.py
is the python file which contains the function where the 3 sections of the framework are assembled together to fully predict the carplate number.
detect_plate.ipynb
is the Jupyter file where the overall framework is tested.