record.angle

#!/usr/bin/env angle
# import numpy
# import json
# # import cv
# import cv2 as opencv
# import os
# import sys
# import json
# import re
# import threading
# import traceback
# import urllib2
# import pyaudio
# import skimage.io
# import time
# import sys
# from os import system
# from platform import system as platform
# from json import dumps, loads, JSONEncoder, JSONDecoder


to create a fullscreen window with name n
  return cv2.namedWindow(n, cv.CV_WINDOW_FULLSCREEN)

create a fullscreen window with name "test"
# todo : Put this into openCV extension library

to say something
  bash "say " something

to transpose an image
  return image.T

define the fast fourier transformation of data as
  numpy.fft.fft data

width is 512
height is 512
image is numpy zeros of width * height
image is image astype uint8 # todo: match 'of type byte' -> numpy.astype uint8

create a fullscreen window with name "Record speech"
show image in it # window "Record speech"

set last to image
aborted is False
i is 0

if platform system is 'Darwin'
    tell app "Finder" to set frontmost of process "Python" to true

to record
  CHUNK is 4096
  open new pyaudio with format paInt16, channel 1, rate 22050,input yes, frames_per_buffer = chunk, input device index 0
  stream is the result
  offset is 0
  summ is 0
  length l is 1024
  zeroz is numpy zeros of width
  set recorded to numpy empty of length l
  while True
    return if aborted
    try
      rawdata is read stream CHUNK
      data is numpy fromstring rawdata with dtype 'int16'
      last is summ
      summ is numpy sum of absolute of the data
      if i<20 and summ<23456 then continue
      numpy append data to recorded
      stepsize is 64
      while offset < size of recorded - length
        return if aborted
        increment offset by stepsize
        data is recorded from offset to offset+length
        get the fast fourier transformation of the data
        data is its absolute
        slice data from -width-1 to -1
        set data to 1/256th of it
        if the numpy sum of the data < 1000
          if i>30
            while i<width
              image at i is zeroz
              increment i
        # else
        # putmask(data, data > 255, 255)
        increment i
        if i > width
          go upload the transposed image
          show it
        else
          set image at i to data
          if i modulo 4 is zero:
            show transposed image
    catch IOError
      print 'lost frame'
    catch Exception as err
          print 'Record sound error' err

to show image in window
  cv2.imshow window, image

to wait for a key
  cv2.waitKey(1)

to destroy the window
  cv2.destroyWindow(winName)

define running as script
  __name__ equals '__main__'

class RecordThread is a Thread:
  def run: record

if running as script:
  start a new RecordThread
  forever
    wait for a key
    set key to it
    if key < 0 then continue
    if chr(key) is 'q' or key is ord('q') or key is 27:
      print 'DONE'
      toggle aborted
      destroy the window after .32 seconds
      exit