diff options
author | Stefan Klug <stefan.klug@ideasonboard.com> | 2025-01-23 12:41:03 +0100 |
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committer | Stefan Klug <stefan.klug@ideasonboard.com> | 2025-02-21 17:51:10 +0100 |
commit | 92bb16b68edc820fde9a2f740f1ab14ed69b93d4 (patch) | |
tree | 406cf35448244cc1ba2b47d27d4a48350ce377aa | |
parent | a783a90dec2ef40e6c0c9eaa298b320dd592412a (diff) |
utils: tuning: rkisp1: Add lux module
Now that the lux module is available, add it to the rkisp1 tuner.
While at it, sort the imports correctly.
Signed-off-by: Stefan Klug <stefan.klug@ideasonboard.com>
Reviewed-by: Paul Elder <paul.elder@ideasonboard.com>
Reviewed-by: Daniel Scally <dan.scally@ideasonboard.com>
-rwxr-xr-x | utils/tuning/rkisp1.py | 14 |
1 files changed, 9 insertions, 5 deletions
diff --git a/utils/tuning/rkisp1.py b/utils/tuning/rkisp1.py index 9f40fd8b..207b717a 100755 --- a/utils/tuning/rkisp1.py +++ b/utils/tuning/rkisp1.py @@ -6,18 +6,19 @@ # # Tuning script for rkisp1 -import coloredlogs import logging import sys +import coloredlogs import libtuning as lt -from libtuning.parsers import YamlParser from libtuning.generators import YamlOutput -from libtuning.modules.lsc import LSCRkISP1 from libtuning.modules.agc import AGCRkISP1 from libtuning.modules.awb import AWBRkISP1 from libtuning.modules.ccm import CCMRkISP1 +from libtuning.modules.lsc import LSCRkISP1 +from libtuning.modules.lux import LuxRkISP1 from libtuning.modules.static import StaticModule +from libtuning.parsers import YamlParser coloredlogs.install(level=logging.INFO, fmt='%(name)s %(levelname)s %(message)s') @@ -45,12 +46,15 @@ lsc = LSCRkISP1(debug=[lt.Debug.Plot], # This is the function that will be used to smooth the color ratio # values. This can also be a custom function. smoothing_function=lt.smoothing.MedianBlur(3),) +lux = LuxRkISP1(debug=[lt.Debug.Plot]) tuner = lt.Tuner('RkISP1') -tuner.add([agc, awb, blc, ccm, color_processing, filter, gamma_out, lsc]) +tuner.add([agc, awb, blc, ccm, color_processing, filter, gamma_out, lsc, lux]) tuner.set_input_parser(YamlParser()) tuner.set_output_formatter(YamlOutput()) -tuner.set_output_order([agc, awb, blc, ccm, color_processing, + +# Bayesian AWB uses the lux value, so insert the lux algorithm before AWB. +tuner.set_output_order([agc, lux, awb, blc, ccm, color_processing, filter, gamma_out, lsc]) if __name__ == '__main__': |