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Be able to issue requests over HTTP and query data
Prepare training preprocessing structures
Deploy to Heroku
Write scripts to generate files that can be used to train tesseract
Preprocess images for training
Define a methodology to parse all the samples from the states.
The class will read all the samples*.jpg files and prepare a set of
sample*_preprocessed.jpg in the same directory.
Few ways to preprocess images files are:
* remove the colors from them
* threshold images
* remove tables (horizontal and vertical lines)
* remove other irregularities like:
* Images
* Scan irregularities
* Table Headers
Get more images
Populate state wise images
Establish a hierarchy preprocessing
Implement a hierarchy where a client can invoke one or more APIs, specify which state the image belongs to and gets a CSV of the parsed data
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