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-rw-r--r--utils/raspberrypi/ctt/ctt_lux.py58
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diff --git a/utils/raspberrypi/ctt/ctt_lux.py b/utils/raspberrypi/ctt/ctt_lux.py
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+# SPDX-License-Identifier: BSD-2-Clause
+#
+# Copyright (C) 2019, Raspberry Pi (Trading) Limited
+#
+# ctt_lux.py - camera tuning tool for lux level
+
+from ctt_tools import *
+"""
+Find lux values from metadata and calculate Y
+"""
+def lux(Cam,Img):
+ shutter_speed = Img.exposure
+ gain = Img.againQ8_norm
+ aperture = 1
+ Cam.log += '\nShutter speed = {}'.format(shutter_speed)
+ Cam.log += '\nGain = {}'.format(gain)
+ Cam.log += '\nAperture = {}'.format(aperture)
+ patches = [Img.patches[i] for i in Img.order]
+ channels = [Img.channels[i] for i in Img.order]
+ return lux_calc(Cam,Img,patches,channels),shutter_speed,gain
+
+"""
+perform lux calibration on bayer channels
+"""
+def lux_calc(Cam,Img,patches,channels):
+ """
+ find means color channels on grey patches
+ """
+ ap_r = np.mean(patches[0][3::4])
+ ap_g = (np.mean(patches[1][3::4])+np.mean(patches[2][3::4]))/2
+ ap_b = np.mean(patches[3][3::4])
+ Cam.log += '\nAverage channel values on grey patches:'
+ Cam.log += '\nRed = {:.0f} Green = {:.0f} Blue = {:.0f}'.format(ap_r,ap_b,ap_g)
+ # print(ap_r,ap_g,ap_b)
+ """
+ calculate channel gains
+ """
+ gr = ap_g/ap_r
+ gb = ap_g/ap_b
+ Cam.log += '\nChannel gains: Red = {:.3f} Blue = {:.3f}'.format(gr,gb)
+
+ """
+ find means color channels on image and scale by gain
+ note greens are averaged together (treated as one channel)
+ """
+ a_r = np.mean(channels[0])*gr
+ a_g = (np.mean(channels[1])+np.mean(channels[2]))/2
+ a_b = np.mean(channels[3])*gb
+ Cam.log += '\nAverage channel values over entire image scaled by channel gains:'
+ Cam.log += '\nRed = {:.0f} Green = {:.0f} Blue = {:.0f}'.format(a_r,a_b,a_g)
+ # print(a_r,a_g,a_b)
+ """
+ Calculate y with top row of yuv matrix
+ """
+ y = 0.299*a_r + 0.587*a_g + 0.114*a_b
+ Cam.log += '\nY value calculated: {}'.format(int(y))
+ # print(y)
+ return int(y)