b2 = (b2-b2.min())/((b2.max()-b2.min())/255.0)
gf_im_n = Image.fromarray(b.astype('uint8'))
gf_im_n2 = Image.fromarray(b2.astype('uint8'))
#apply gamma to grey frame
#b = np.asarray(imageGamma(Image.fromarray(b.astype('uint8')),
# (gf_gamma,gf_gamma,gf_gamma)))
if reverse:
slitscanner.setReverse(True)
if prefix:
slitscanner.setFilePrefix(prefix)
gpxalltrackwriter = GPXWriter(slitscanner.getFileDirectory() +
slitscanner.getFilePrefix() + ".gpx")
infoallwriter = GeoInfoWriter(slitscanner.getFileDirectory() +
slitscanner.getFilePrefix() + ".info")
totalframecount = 0
slitcount = 0
px_pos = 0
imgcount = 0
#print glob(inputfiles);
for moviefile in inputfiles:
movie = cv.CaptureFromFile(moviefile)
imgloader = TileLoader()
imgloader.setSource(source)
imgloader.setZoom(zoom)
imgloader.setFileType(format)
print "loading images from", source, "at zoom level", zoom
scan_path = output + "/" + name + "/" + str(interval) + "m/" + str(zoom)
print "scan to", scan_path
slitscanner = SlitScanner(lh)
slitscanner.setFileType(format)
slitscanner.setPath(scan_path + "/" + source)
slitscanner.setSize(size[0], size[1])
if write_log_files:
log_file = slitscanner.getFileDirectory() + "scan.log"
myutils.createPath(log_file)
print "log to:", log_file
f = open(log_file, "w")
for trackfile in trackfiles:
print "loading track", trackfile
track.load(trackfile)
print "track points: %d, length: %0.2fkm" % (track.getPointNumber(), track.getTotalDistance())
if interval > 0:
print "interpolating points at", interval, "meters ..."
track.interpolate(interval, True)
print "track points: %d, length: %0.2fkm" % (track.getPointNumber(), track.getTotalDistance())
