Voxel Calibration Wizard

Source code for calibration.CommonPhaseOffsetRawDataComplexAverage

"""
CommonPhaseOffset.py - takes vxl file as input along with modulation frequency and distance to give phaseCorr values. 
Requires two vxl files - one for each frequency to calculate phase corr 1 and phase corr 2
'''

'''Example Script:
python CommonPhaseOffset.py -f "file.vxl" -d 0.7 -m 20  -c tintin.ti (-n 10 -g "file2.vxl")
or 
python CommonPhaseOffset.py --file1 "file.vxl" --distance 0.7 --modFreq1 20 --chipset tintin.ti (--modFreq2 10 --file2 "file2.vxl")
"""

import numpy as np
import Voxel
import argparse
import sys

MAX_PHASE_VALUE = 4096

[docs]def wrapPhaseToSignedInteger(phase): """Keeps the phase offset value between -2048 and 2048 """ if phase >= MAX_PHASE_VALUE/2: return -1*(MAX_PHASE_VALUE - phase) elif phase < -MAX_PHASE_VALUE/2: return (MAX_PHASE_VALUE + phase) else: return phase
[docs]def parseframe(frame, rows=240, cols=320): """Parses the values given by the group by 16 mode of the code and gives individual frames. Required for using raw data""" confidenceData = np.ndarray(rows*cols, dtype="uint16") phaseData = np.ndarray(rows*cols, dtype="uint16") confidenceData.dtype = "uint64" phaseData.dtype = "uint64" frame.dtype="uint64" confidenceData[::2] = frame[::4] confidenceData[1::2] = frame[1::4] phaseData[::2] = frame[2::4] phaseData[1::2] = frame[3::4] confidenceData.dtype="uint16" phaseData.dtype="uint16" confidenceData = confidenceData.reshape(rows, cols) phaseData = phaseData.reshape(rows, cols) ambientData = (confidenceData & 0xF000) >> 12 flagsData = (phaseData & 0xF000) >> 12 confidenceData = confidenceData & 0x0FFF phaseData = phaseData & 0x0FFF frame.dtype="uint16" return (phaseData, confidenceData, ambientData, flagsData)
[docs]def extractPhasesandAmplitudes(fileName, camsys): """Extracts just phase and amplitude values from the parsed frames""" rawFrames, rows, cols = extractRawdataFromVXL(fileName, camsys) frames = rawFrames.shape[0] processedPhases = np.zeros([frames, rows, cols]) processedAmplitudes = np.zeros([frames, rows, cols]) for frame in np.arange(frames): phaseData, confidenceData, _, _ = parseframe(rawFrames[frame], rows, cols) processedPhases[frame] = phaseData processedAmplitudes[frame] = confidenceData return processedPhases, processedAmplitudes, frames, rows, cols
[docs]def computeAveragePhases(camsys, fileName, window =4, cx = 0, cy = 0): """ Computes the average phases for a given file. Uses the complex average for getting phase value """ r = Voxel.FrameStreamReader(fileName, camsys) if not cx: bool3, cx = r.getStreamParamf("cx") if not bool3: cx = 0 if not cy: bool4, cy = r.getStreamParamf("cy") if not bool4: cy = 0 cx = int(cx) cy = int(cy) phases, amplitudes, frames, rows, cols = extractPhasesandAmplitudes(fileName, camsys) if cx == 0: cx = rows/2 if cy == 0: cy = cols/2 centerShape = [cx-window/2, cx+window/2, cy-window/2, cy+window/2] averagePhases = np.zeros([window, window], dtype = 'complex') for val in np.arange(frames): phaseWindow= phases[val][centerShape[0]:centerShape[1], centerShape[2]:centerShape[3]]*2*np.pi/4096 averagePhases+= amplitudes[val][centerShape[0]:centerShape[1], centerShape[2]:centerShape[3]]*(np.cos(phaseWindow)+ 1j*np.sin(phaseWindow)) averagePhases = averagePhases/phases.shape[0] averagePhases = np.mean(averagePhases) averagePhases = np.angle(averagePhases)* 4096/(2*np.pi) return averagePhases, rows, cols
[docs]def extractRawdataFromVXL(filename, camsys): """Takes raw data from vxl file""" r = Voxel.FrameStreamReader(filename, camsys) if not r.isStreamGood(): print("Stream is not good: " + filename) bool1, cols = r.getStreamParamu("frameWidth") bool2, rows = r.getStreamParamu("frameHeight") numFrames = r.size() rawFrames = np.zeros((numFrames, rows*cols*4), dtype='uint8') for i in (range(numFrames)): if not r.readNext(): print("Failed to read frame %d" %i) break rawFrame = Voxel.RawDataFrame.typeCast(r.frames[Voxel.DepthCamera.FRAME_RAW_FRAME_UNPROCESSED]) rawFrames[i] = np.array(rawFrame.data, copy=True)[:-255] r.close() return rawFrames, rows, cols
[docs]def commonPhaseOffset(file1, distance, modFreq1, cx, cy, file2 = None, modFreq2 = None, window = 4, chipset = 'ti.tinitn'): """ Computes the common phase offsets. This function calculates the common phase offsets for a given file, taking VXL as input. **Parameters**:: - file1, file2: File(s) for computing common phase offsets. These should be vxl files of a flat wall. The camera should be almost parallel to the wall. - modFreq1, modFreq2 : Modulation Frequency (ies) when the data is captured. If dealiasing is enabled, two modulation frequencies are required - cx, cy: The coordinates of the center pixel, found during lens calibration. If cx and cy are not available, the central value (120,160) is taken. - window: The window size. By default, a window of 4x4 is required. - chipset: The chipset being used. **Returns**:: - phase_Corr1: Phase offset value for the first modulation frequency - phase_Corr2: Phase offset value for the second modulation frequency """ c = 299792458 # m/s camsys = Voxel.CameraSystem() averagePhase1, rows, cols = computeAveragePhases(camsys, file1, cx, cy, window) #default window size = 4 ds1 = c/(2*modFreq1*1E6) phaseActual1 = distance/ds1*4096 phaseAverage1 = averagePhase1 phaseCorr = wrapPhaseToSignedInteger(int(phaseAverage1 - phaseActual1)) if file2 and modFreq2: averagePhase2, rows, cols = computeAveragePhases(camsys, file2, cx, cy, window) ds2 = c/(2*modFreq2*1E6) phaseActual2 = distance/ds2*4096 phaseAverage2 = averagePhase2 phaseCorr2 = wrapPhaseToSignedInteger(int(phaseAverage2-phaseActual2)) else: phaseCorr2 = 0 if chipset == 'ti.calculus': #additive phase phaseCorr = -phaseCorr phaseCorr2 = -phaseCorr2 return True, phaseCorr, phaseCorr2, rows, cols
[docs]def parseArgs (args = None): """ Parsing the arguments in the command line - this is used to get the parameters using this script""" parser = argparse.ArgumentParser(description='Calculate Common Phase Offsets') parser.add_argument('-f', '--file1', help = 'Filename1', required = 'True', default= None) parser.add_argument('-d', '--distance', type = float, help = 'Distance in meters', required = 'True', default= 0.5) parser.add_argument('-m', '--modFreq1', help = 'Modulation Frequency 1', type = float, required = 'True', default = 40) parser.add_argument('-g', '--file2', help = 'Filename2', default= None) parser.add_argument('-n', '--modFreq2', help = 'Modulation Frequency 2', type = float, default = 0) parser.add_argument('-x', '--cx', help = 'cx', type = float, default = 0) parser.add_argument('-y', '--cy', help = 'cy', type = float, default = 0) parser.add_argument('-w', '--window', help = 'Window Size', type = int, default = 4) parser.add_argument('-c', '--chipset', help = 'Chipset', default = 'tintin.ti', required = 'True') return parser.parse_args(args)
if __name__ == '__main__': val = parseArgs(sys.argv[1:]) ret = commonPhaseOffset(val.file1,val.distance, val.modFreq1, val.cx, val.cy, val.file2, val.modFreq2, val.window, val.chipset) if not ret: print "Cannot compute phase offsets" sys.exit() boo, phaseCorr1, phaseCorr2, rows, cols = ret print 'phase_corr_1 = %d\n'%(phaseCorr1) print 'phase_corr_2 = %d\n'%(phaseCorr2) ##