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#!/usr/bin/env python3
import argparse
import json
import numpy as np
import scipy.ndimage
import sys
import yaml
def update_yaml_config(config, reds, green, blues):
with open(config, 'r') as config:
data = yaml.safe_load(config)
xy_sizes = [0.0625, 0.0625, 0.0625,
0.0625, 0.0625, 0.0625, 0.0625, 0.0625]
lsc_config = {}
lsc_config['x-size'] = []
lsc_config['y-size'] = []
for size in xy_sizes:
lsc_config['x-size'].append(size)
lsc_config['y-size'].append(size)
lsc_config['sets'] = []
for temperature in reds.keys():
red_table = reds[temperature].flatten()
blue_table = blues[temperature].flatten()
ct_set = {}
ct_set['ct'] = temperature
ct_set['r'] = []
ct_set['gr'] = []
ct_set['gb'] = []
ct_set['b'] = []
for f in red_table:
i = round(f * 1024)
ct_set['r'].append(i)
for f in green:
i = round(f * 1024)
ct_set['gr'].append(i)
ct_set['gb'].append(i)
for f in blue_table:
i = round(f * 1024)
ct_set['b'].append(i)
lsc_config['sets'].append(ct_set)
lsc = {'LensShadingCorrection': lsc_config}
# Remove any existing LensShadingCorrection section
algos = data['algorithms']
for algo in algos:
for k in algo.keys():
if k == 'LensShadingCorrection':
algos.remove(algo)
break
algos.append(lsc)
print(data)
return data
def sort_by_temperature(calibrations):
data = {}
for entry in calibrations:
temp = entry['ct']
table = np.array(entry['table']).reshape(12, 16)
data[temp] = table
return data
def parse_lsc_data(filename):
with open(filename, 'r') as tuning_file:
for algo in json.load(tuning_file)['algorithms']:
for (k, v) in algo.items():
if k == 'rpi.alsc':
return v
raise Exception("Cannot find LSC tuning data in file " + filename)
def main():
parser = argparse.ArgumentParser()
parser.add_argument('-f', '--file', required=True,
help='Tuning file to parse')
parser.add_argument('-t', '--temperature', help='Color temperature')
# todo: Do not make this mandatory and default to stdio
parser.add_argument('-a', '--append', required=True,
help='RkISP configuration file to append LSC tables to')
args = parser.parse_args()
lsc_data = parse_lsc_data(args.file)
luminance_strength = lsc_data['luminance_strength']
luma = np.array(lsc_data['luminance_lut']).reshape(12, 16)
green = (luma - 1) * luminance_strength + 1
cr_data = sort_by_temperature(lsc_data['calibrations_Cr'])
cb_data = sort_by_temperature(lsc_data['calibrations_Cb'])
reds = {}
blues = {}
for temperature in cr_data.keys():
cr = cr_data[temperature]
cb = cb_data[temperature]
red = cr * green
red = scipy.ndimage.zoom(red, (17 / 12, 17 / 16))
red /= red.min()
blue = cb * green
blue = scipy.ndimage.zoom(blue, (17 / 12, 17 / 16))
blue /= blue.min()
reds[temperature] = red
blues[temperature] = blue
green = scipy.ndimage.zoom(green, (17 / 12, 17 / 16))
green /= green.min()
new_config = update_yaml_config(args.append, reds, green.flatten(), blues)
with open(args.append, 'w') as config:
yaml.safe_dump(new_config, config)
return 0
if __name__ == '__main__':
sys.exit(main())
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