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-rw-r--r--utils/tuning/libtuning/modules/awb/awb.py16
-rw-r--r--utils/tuning/libtuning/modules/awb/rkisp1.py21
2 files changed, 25 insertions, 12 deletions
diff --git a/utils/tuning/libtuning/modules/awb/awb.py b/utils/tuning/libtuning/modules/awb/awb.py
index c154cf3b..0dc4f59d 100644
--- a/utils/tuning/libtuning/modules/awb/awb.py
+++ b/utils/tuning/libtuning/modules/awb/awb.py
@@ -27,10 +27,14 @@ class AWB(Module):
imgs = [img for img in images if img.macbeth is not None]
- gains, _, _ = awb(imgs, None, None, False)
- gains = np.reshape(gains, (-1, 3))
+ ct_curve, transverse_pos, transverse_neg = awb(imgs, None, None, False)
+ ct_curve = np.reshape(ct_curve, (-1, 3))
+ gains = [{
+ 'ct': int(v[0]),
+ 'gains': [float(1.0 / v[1]), float(1.0 / v[2])]
+ } for v in ct_curve]
+
+ return {'colourGains': gains,
+ 'transversePos': transverse_pos,
+ 'transverseNeg': transverse_neg}
- return [{
- 'ct': int(v[0]),
- 'gains': [float(1.0 / v[1]), float(1.0 / v[2])]
- } for v in gains]
diff --git a/utils/tuning/libtuning/modules/awb/rkisp1.py b/utils/tuning/libtuning/modules/awb/rkisp1.py
index 0c95843b..d562d26e 100644
--- a/utils/tuning/libtuning/modules/awb/rkisp1.py
+++ b/utils/tuning/libtuning/modules/awb/rkisp1.py
@@ -6,9 +6,6 @@
from .awb import AWB
-import libtuning as lt
-
-
class AWBRkISP1(AWB):
hr_name = 'AWB (RkISP1)'
out_name = 'Awb'
@@ -20,8 +17,20 @@ class AWBRkISP1(AWB):
return True
def process(self, config: dict, images: list, outputs: dict) -> dict:
- output = {}
-
- output['colourGains'] = self.do_calculation(images)
+ if not 'awb' in config['general']:
+ raise ValueError('AWB configuration missing')
+ awb_config = config['general']['awb']
+ algorithm = awb_config['algorithm']
+
+ output = {'algorithm': algorithm}
+ data = self.do_calculation(images)
+ if algorithm == 'grey':
+ output['colourGains'] = data['colourGains']
+ elif algorithm == 'bayes':
+ output['AwbMode'] = awb_config['AwbMode']
+ output['priors'] = awb_config['priors']
+ output.update(data)
+ else:
+ raise ValueError(f"Unknown AWB algorithm {output['algorithm']}")
return output