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utils: raspberrypi: ctt: Fix pycodestyle E231

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E231 missing whitespace after ','
E231 missing whitespace after ':'

Signed-off-by: Laurent Pinchart <laurent.pinchart@ideasonboard.com>
Reviewed-by: Kieran Bingham <kieran.bingham@ideasonboard.com>
Reviewed-by: David Plowman <david.plowman@raspberrypi.com>
This commit is contained in:
Laurent Pinchart 2020-05-02 03:32:00 +03:00
parent 7a653369cb
commit 93a133fb17
11 changed files with 493 additions and 493 deletions
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16
utils/raspberrypi/ctt/ctt_lux.py
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@ -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
"""