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CircuitSense Project

Welcome to the CircuitSense project. CircuitSense is an application that converts a picture of a circuit schematic to a netlist. CircuitSense was originally developed as an iPhone application, and has since been migrated here and transformed into a more general purpose tool.

CircuitSense Usage

Installation

On Linux, the following apt libraries are required:

python-opencv
libcv-dev
libopencv-highgui-dev
libopencv-imgproc-dev
libtesseract-dev

On mac, the following brew libraries are required:

tesseract
opencv

Training

To operate, CircuitSense requires a training data file, cir.traindata. Such training files are currently not provided in this project. To run this software, you will need to create this file as per the tesseract guidelines.

Pull requests in this area are welcome.

Compatibility

CircuitSense is only compatible with Tesseract 2.0.4, and will not work with the newest versions of the Tesseract library (3+). I may add support for this in the future, if time allows.

About

Convert hand-drawn electrical circuit diagrams to netlists. CircuitSense can be thought of as the equivalent of handwriting recognition for circuits.

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