diff options
Diffstat (limited to 'utils/raspberrypi/ctt/ctt_lux.py')
| -rw-r--r-- | utils/raspberrypi/ctt/ctt_lux.py | 16 |
1 files changed, 8 insertions, 8 deletions
diff --git a/utils/raspberrypi/ctt/ctt_lux.py b/utils/raspberrypi/ctt/ctt_lux.py index 8a16d346..55b2aa29 100644 --- a/utils/raspberrypi/ctt/ctt_lux.py +++ b/utils/raspberrypi/ctt/ctt_lux.py @@ -8,7 +8,7 @@ from ctt_tools import * """ Find lux values from metadata and calculate Y """ -def lux(Cam,Img): +def lux(Cam, Img): shutter_speed = Img.exposure gain = Img.againQ8_norm aperture = 1 @@ -17,12 +17,12 @@ def lux(Cam,Img): 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 + return lux_calc(Cam, Img, patches, channels), shutter_speed, gain """ perform lux calibration on bayer channels """ -def lux_calc(Cam,Img,patches,channels): +def lux_calc(Cam, Img, patches, channels): """ find means color channels on grey patches """ @@ -30,14 +30,14 @@ def lux_calc(Cam,Img,patches,channels): 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) + 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) + Cam.log += '\nChannel gains: Red = {:.3f} Blue = {:.3f}'.format(gr, gb) """ find means color channels on image and scale by gain @@ -47,8 +47,8 @@ def lux_calc(Cam,Img,patches,channels): 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) + 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 """ |