Description: Detect and classify basic mathematical elements on an image and evaluate expressions based on the same
Project for bachelors thesis at University of Zagreb, Faculty of Electrical Engineering and Computing
Full thesis name: Detection and classification of text based elements on an image using deep neural networks
Contents:
- Pipeline for creating training images and corresponding .csv files
- Handwritten fonts
- All symbols generated in 100+ fonts
- Sorted by difficulty
- Image examples
- Heavily documented code
- Code will be made more efficient after presenting the final thesis
generate_tfrecords.py
for creating *.record files for furtherTensorflow API
usage
Testing:
- File called
ImagePredictor.py
contains everything neccessary to run the interference graph on an image- Output image is saved as
output.png
and the result is printed out in the console
- Output image is saved as