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HackerUFa15Master.py
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HackerUFa15Master.py
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#!/usr/bin/python
# Author: Patrick Emami
# Get access to all of Adafruit's printer python modules
from Adafruit_Thermal import *
# Import OpenCV python modules
import cv2
# Import the python-tesseract modules
import tesseract
# For sleeping the process
import time
# Loops infinitely until the user presses 'q'
# at which time an image will be snapped
def capture():
while(True):
# Capture frame-by-frame
ret, frame = cap.read()
# Convert the captured frame to grayscale
gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)
# Display the resulting frame
cv2.imshow('frame',gray)
# When the user presses q, return the current frame
if cv2.waitKey(1) & 0xFF == ord('q'):
return gray
if __name__ == '__main__':
# new videocapture object
cap = cv2.VideoCapture(0)
# Create a Adafruit_Thermal object that we can use for printing
printer = Adafruit_Thermal("/dev/ttyAMA0", 19200, timeout=5)
# python-tesseract initialization
api = tesseract.TessBaseAPI()
api.SetOutputName("hacker_u")
api.Init(".","eng",tesseract.OEM_DEFAULT)
api.SetPageSegMode(tesseract.PSM_AUTO)
printer.boldOn() # Make text bold
printer.setSize('L') # Set type size, accepts 'S', 'M', 'L'
printer.justify('C') # Center the text to leave lots of whitespace
while(True):
''' Prompt the user to enter some text to be recognized by python-tesseract '''
text_to_print = raw_input("Enter text: ")
# Alert user that we are printing
print("Printing...")
''' Print the user's text out '''
printer.println(text_to_print)
time.sleep(1)
print "Tear off the printed text from printer and show it to the webcam!"
print "Press 'q' to snap the picture"
# store frame in variable img
img = capture()
# scale the image up to twice its size to assist with OCR
scaled_img = cv2.resize(img,None,fx=2,fy=2,interpolation=cv2.INTER_CUBIC)
# Intermediate step to convert the image into a format usable by py-tesseract
cv2.imwrite("tmp.jpg", scaled_img)
cv_image = cv2.cv.LoadImage("tmp.jpg", cv2.cv.CV_LOAD_IMAGE_GRAYSCALE)
''' Call python-teseract and attempt to decode text in image '''
tesseract.SetCvImage(cv_image, api)
result = api.GetUTF8Text()
conf = api.MeanTextConf()
# Remove unecessary whitespace from output text
result.strip()
if result:
''' Print out result '''
printer.println("You said")
printer.println(result)
print "OCR success: ", result
print "Confidence level: %d %%"%conf
else:
print "OCR failed, please try again!"
tess.End()
# When everythings done, release the capture
cap.release()
cv2.destroyAllWindows()