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raw_encode.py
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raw_encode.py
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#!/usr/bin/env python
# -*- coding: utf-8 -*-
#
# Copyright © 2015-2018 Johann A. Briffa
#
# This file is part of CR2_Scripts.
#
# CR2_Scripts is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# CR2_Scripts is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with CR2_Scripts. If not, see <http:https://www.gnu.org/licenses/>.
import sys
import os
import argparse
import commands
import numpy as np
import matplotlib.pyplot as plt
sys.path.append(os.path.join(os.path.dirname(os.path.realpath(__file__)),'pyshared'))
import jbtiff
import jbimage
import jbcr2
## main program
def main():
# interpret user options
parser = argparse.ArgumentParser()
parser.add_argument("-r", "--raw", required=True,
help="input RAW file for image parameters")
parser.add_argument("-i", "--input", required=True,
help="input sensor image file to encode")
parser.add_argument("-o", "--output", required=True,
help="output JPEG lossless raw data file")
parser.add_argument("-C", "--components", required=True, type=int,
help="number of color components to create")
parser.add_argument("-P", "--precision", required=True, type=int,
help="number of bits per sensor pixel")
parser.add_argument("-d", "--display", action="store_true", default=False,
help="display encoded images")
args = parser.parse_args()
# See raw_decode.py for color components & slicing example
# read input raw file
tiff = jbtiff.tiff_file(open(args.raw, 'rb'))
# load sensor image
sensor = jbimage.image_file.read(args.input).squeeze()
# obtain required parameters from RAW file
width,height = tiff.get_sensor_size()
slices = tiff.get_slices()
# check input image parameters
assert len(sensor.shape) == 2 # must be a one-channel image
assert sensor.shape == (height,width) # image size must be exact
# slice image
a = jbcr2.slice_image(sensor, width, height, slices)
# encode to lossless JPEG output file
parts = jbcr2.encode_lossless_jpeg(a, args.components, args.precision, args.output)
# show user what we've done, as needed
if args.display:
for i, b in enumerate(parts):
plt.figure()
plt.imshow(b, cmap=plt.cm.gray)
plt.title('Part %d' % i)
plt.show()
return
# main entry point
if __name__ == '__main__':
main()