To read the data from Coned Electric meters (7 segment displays) and graph the information
- place images inside
in/imgs - run setup.py
python setup.pythis createsimages.json - process image data from
images.jsonby runningpython digit_ocr.py - run data through MNIST and SVM/KNN
- Graph data and find trends
- opencv
- sklearn
- MNIST Dataset
- Matplotlib
- Connect user flows (processing img -> figure out image -> graph)
- Error Processing for (OCR)
- Error Processing for data (if ocr failed to read data correctly what should we do
- centralize paths instead of declaring them in each file
TODO: later
image processing is strong enough given every picture is varied.