| Message ID | 20251028211751.2761420-7-rui.wang@ideasonboard.com |
|---|---|
| State | New |
| Headers | show |
| Series |
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| Related | show |
Quoting Rui Wang (2025-10-28 21:17:40) > Replace the inline parsing in init() with a call to parseConfig(). This > simplifies init() and allows the parsing logic to be reused. The refactor > also adds logging of the parsed base tuning and preserves the base config > for manual mode restoration. > > The init method now: > - Calls parseConfig() to load tuning data > - Logs the parsed base configuration > - Caches base config for manual mode restore > - Logs ISO level count if present > - Registers controls via getControlMap() I think the clue is 'refactor' but if we're refactoring by patch 7 then some of the earlier patches should be rethought. > Signed-off-by: Rui Wang <rui.wang@ideasonboard.com> > --- > src/ipa/rkisp1/algorithms/dpf.cpp | 141 +++++------------------------- > 1 file changed, 24 insertions(+), 117 deletions(-) > > diff --git a/src/ipa/rkisp1/algorithms/dpf.cpp b/src/ipa/rkisp1/algorithms/dpf.cpp > index d1b89691..a5059741 100644 > --- a/src/ipa/rkisp1/algorithms/dpf.cpp > +++ b/src/ipa/rkisp1/algorithms/dpf.cpp > @@ -8,6 +8,7 @@ > #include "dpf.h" > > #include <algorithm> > +#include <array> > #include <string> > #include <vector> > > @@ -47,127 +48,33 @@ Dpf::Dpf() > int Dpf::init([[maybe_unused]] IPAContext &context, > const YamlObject &tuningData) > { > - std::vector<uint8_t> values; > - > - /* > - * The domain kernel is configured with a 9x9 kernel for the green > - * pixels, and a 13x9 or 9x9 kernel for red and blue pixels. > - */ > - const YamlObject &dFObject = tuningData["DomainFilter"]; > - > - /* > - * For the green component, we have the 9x9 kernel specified > - * as 6 coefficients: > - * Y > - * ^ > - * 4 | 6 5 4 5 6 > - * 3 | 5 3 3 5 > - * 2 | 5 3 2 3 5 > - * 1 | 3 1 1 3 > - * 0 - 4 2 0 2 4 > - * -1 | 3 1 1 3 > - * -2 | 5 3 2 3 5 > - * -3 | 5 3 3 5 > - * -4 | 6 5 4 5 6 > - * +---------|--------> X > - * -4....-1 0 1 2 3 4 > - */ > - values = dFObject["g"].getList<uint8_t>().value_or(std::vector<uint8_t>{}); > - if (values.size() != RKISP1_CIF_ISP_DPF_MAX_SPATIAL_COEFFS) { > - LOG(RkISP1Dpf, Error) > - << "Invalid 'DomainFilter:g': expected " > - << RKISP1_CIF_ISP_DPF_MAX_SPATIAL_COEFFS > - << " elements, got " << values.size(); If a series is adding all this code and then removing it then something has gone wrong. > + /* Parse tuning block */ > + if (!parseConfig(tuningData)) > return -EINVAL; > - } > > - std::copy_n(values.begin(), values.size(), > - std::begin(config_.g_flt.spatial_coeff)); > - > - config_.g_flt.gr_enable = true; > - config_.g_flt.gb_enable = true; > - > - /* > - * For the red and blue components, we have the 13x9 kernel specified > - * as 6 coefficients: > - * > - * Y > - * ^ > - * 4 | 6 5 4 3 4 5 6 > - * | > - * 2 | 5 4 2 1 2 4 5 > - * | > - * 0 - 5 3 1 0 1 3 5 > - * | > - * -2 | 5 4 2 1 2 4 5 > - * | > - * -4 | 6 5 4 3 4 5 6 > - * +-------------|------------> X > - * -6 -4 -2 0 2 4 6 > - * > - * For a 9x9 kernel, columns -6 and 6 are dropped, so coefficient > - * number 6 is not used. > - */ > - values = dFObject["rb"].getList<uint8_t>().value_or(std::vector<uint8_t>{}); > - if (values.size() != RKISP1_CIF_ISP_DPF_MAX_SPATIAL_COEFFS && > - values.size() != RKISP1_CIF_ISP_DPF_MAX_SPATIAL_COEFFS - 1) { > - LOG(RkISP1Dpf, Error) > - << "Invalid 'DomainFilter:rb': expected " > - << RKISP1_CIF_ISP_DPF_MAX_SPATIAL_COEFFS - 1 > - << " or " << RKISP1_CIF_ISP_DPF_MAX_SPATIAL_COEFFS > - << " elements, got " << values.size(); > - return -EINVAL; > - } > - > - config_.rb_flt.fltsize = values.size() == RKISP1_CIF_ISP_DPF_MAX_SPATIAL_COEFFS > - ? RKISP1_CIF_ISP_DPF_RB_FILTERSIZE_13x9 > - : RKISP1_CIF_ISP_DPF_RB_FILTERSIZE_9x9; > - > - std::copy_n(values.begin(), values.size(), > - std::begin(config_.rb_flt.spatial_coeff)); > - > - config_.rb_flt.r_enable = true; > - config_.rb_flt.b_enable = true; > - > - /* > - * The range kernel is configured with a noise level lookup table (NLL) > - * which stores a piecewise linear function that characterizes the > - * sensor noise profile as a noise level function curve (NLF). > - */ > - const YamlObject &rFObject = tuningData["NoiseLevelFunction"]; > - > - std::vector<uint16_t> nllValues; > - nllValues = rFObject["coeff"].getList<uint16_t>().value_or(std::vector<uint16_t>{}); > - if (nllValues.size() != RKISP1_CIF_ISP_DPF_MAX_NLF_COEFFS) { > - LOG(RkISP1Dpf, Error) > - << "Invalid 'RangeFilter:coeff': expected " > - << RKISP1_CIF_ISP_DPF_MAX_NLF_COEFFS > - << " elements, got " << nllValues.size(); > - return -EINVAL; > - } > + /* Log parsed base tuning (counts are always full-sized for base). */ > + LOG(RkISP1Dpf, Info) > + << "DPF init: base tuning parsed, G coeffs=" > + << RKISP1_CIF_ISP_DPF_MAX_SPATIAL_COEFFS > + << ", RB fltsize=" > + << (config_.rb_flt.fltsize == RKISP1_CIF_ISP_DPF_RB_FILTERSIZE_13x9 ? "13x9" : "9x9") > + << ", NLL coeffs=" << RKISP1_CIF_ISP_DPF_MAX_NLF_COEFFS > + << ", NLL scale=" > + << (config_.nll.scale_mode == RKISP1_CIF_ISP_NLL_SCALE_LOGARITHMIC ? "log" : "linear") > + << ", Strength (r,g,b)=" > + << (int)strengthConfig_.r << "," << (int)strengthConfig_.g > + << "," << (int)strengthConfig_.b; > + > + /* Preserve base (non-ISO) YAML configuration for restoration after manual mode. */ > + baseConfig_ = config_; > + baseStrengthConfig_ = strengthConfig_; > > - std::copy_n(nllValues.begin(), nllValues.size(), > - std::begin(config_.nll.coeff)); > - > - std::string scaleMode = rFObject["scale-mode"].get<std::string>(""); > - if (scaleMode == "linear") { > - config_.nll.scale_mode = RKISP1_CIF_ISP_NLL_SCALE_LINEAR; > - } else if (scaleMode == "logarithmic") { > - config_.nll.scale_mode = RKISP1_CIF_ISP_NLL_SCALE_LOGARITHMIC; > - } else { > - LOG(RkISP1Dpf, Error) > - << "Invalid 'RangeFilter:scale-mode': expected " > - << "'linear' or 'logarithmic' value, got " > - << scaleMode; > - return -EINVAL; > + /* Optional ISO-banded tuning */ > + if (useIsoLevels_) { > + LOG(RkISP1Dpf, Info) > + << "DPF init: loaded " << isoLevels_.size() > + << " ISO level(s) from tuning"; > } > - > - const YamlObject &fSObject = tuningData["FilterStrength"]; > - > - strengthConfig_.r = fSObject["r"].get<uint16_t>(64); > - strengthConfig_.g = fSObject["g"].get<uint16_t>(64); > - strengthConfig_.b = fSObject["b"].get<uint16_t>(64); > - > return 0; > } > > -- > 2.43.0 >
diff --git a/src/ipa/rkisp1/algorithms/dpf.cpp b/src/ipa/rkisp1/algorithms/dpf.cpp index d1b89691..a5059741 100644 --- a/src/ipa/rkisp1/algorithms/dpf.cpp +++ b/src/ipa/rkisp1/algorithms/dpf.cpp @@ -8,6 +8,7 @@ #include "dpf.h" #include <algorithm> +#include <array> #include <string> #include <vector> @@ -47,127 +48,33 @@ Dpf::Dpf() int Dpf::init([[maybe_unused]] IPAContext &context, const YamlObject &tuningData) { - std::vector<uint8_t> values; - - /* - * The domain kernel is configured with a 9x9 kernel for the green - * pixels, and a 13x9 or 9x9 kernel for red and blue pixels. - */ - const YamlObject &dFObject = tuningData["DomainFilter"]; - - /* - * For the green component, we have the 9x9 kernel specified - * as 6 coefficients: - * Y - * ^ - * 4 | 6 5 4 5 6 - * 3 | 5 3 3 5 - * 2 | 5 3 2 3 5 - * 1 | 3 1 1 3 - * 0 - 4 2 0 2 4 - * -1 | 3 1 1 3 - * -2 | 5 3 2 3 5 - * -3 | 5 3 3 5 - * -4 | 6 5 4 5 6 - * +---------|--------> X - * -4....-1 0 1 2 3 4 - */ - values = dFObject["g"].getList<uint8_t>().value_or(std::vector<uint8_t>{}); - if (values.size() != RKISP1_CIF_ISP_DPF_MAX_SPATIAL_COEFFS) { - LOG(RkISP1Dpf, Error) - << "Invalid 'DomainFilter:g': expected " - << RKISP1_CIF_ISP_DPF_MAX_SPATIAL_COEFFS - << " elements, got " << values.size(); + /* Parse tuning block */ + if (!parseConfig(tuningData)) return -EINVAL; - } - std::copy_n(values.begin(), values.size(), - std::begin(config_.g_flt.spatial_coeff)); - - config_.g_flt.gr_enable = true; - config_.g_flt.gb_enable = true; - - /* - * For the red and blue components, we have the 13x9 kernel specified - * as 6 coefficients: - * - * Y - * ^ - * 4 | 6 5 4 3 4 5 6 - * | - * 2 | 5 4 2 1 2 4 5 - * | - * 0 - 5 3 1 0 1 3 5 - * | - * -2 | 5 4 2 1 2 4 5 - * | - * -4 | 6 5 4 3 4 5 6 - * +-------------|------------> X - * -6 -4 -2 0 2 4 6 - * - * For a 9x9 kernel, columns -6 and 6 are dropped, so coefficient - * number 6 is not used. - */ - values = dFObject["rb"].getList<uint8_t>().value_or(std::vector<uint8_t>{}); - if (values.size() != RKISP1_CIF_ISP_DPF_MAX_SPATIAL_COEFFS && - values.size() != RKISP1_CIF_ISP_DPF_MAX_SPATIAL_COEFFS - 1) { - LOG(RkISP1Dpf, Error) - << "Invalid 'DomainFilter:rb': expected " - << RKISP1_CIF_ISP_DPF_MAX_SPATIAL_COEFFS - 1 - << " or " << RKISP1_CIF_ISP_DPF_MAX_SPATIAL_COEFFS - << " elements, got " << values.size(); - return -EINVAL; - } - - config_.rb_flt.fltsize = values.size() == RKISP1_CIF_ISP_DPF_MAX_SPATIAL_COEFFS - ? RKISP1_CIF_ISP_DPF_RB_FILTERSIZE_13x9 - : RKISP1_CIF_ISP_DPF_RB_FILTERSIZE_9x9; - - std::copy_n(values.begin(), values.size(), - std::begin(config_.rb_flt.spatial_coeff)); - - config_.rb_flt.r_enable = true; - config_.rb_flt.b_enable = true; - - /* - * The range kernel is configured with a noise level lookup table (NLL) - * which stores a piecewise linear function that characterizes the - * sensor noise profile as a noise level function curve (NLF). - */ - const YamlObject &rFObject = tuningData["NoiseLevelFunction"]; - - std::vector<uint16_t> nllValues; - nllValues = rFObject["coeff"].getList<uint16_t>().value_or(std::vector<uint16_t>{}); - if (nllValues.size() != RKISP1_CIF_ISP_DPF_MAX_NLF_COEFFS) { - LOG(RkISP1Dpf, Error) - << "Invalid 'RangeFilter:coeff': expected " - << RKISP1_CIF_ISP_DPF_MAX_NLF_COEFFS - << " elements, got " << nllValues.size(); - return -EINVAL; - } + /* Log parsed base tuning (counts are always full-sized for base). */ + LOG(RkISP1Dpf, Info) + << "DPF init: base tuning parsed, G coeffs=" + << RKISP1_CIF_ISP_DPF_MAX_SPATIAL_COEFFS + << ", RB fltsize=" + << (config_.rb_flt.fltsize == RKISP1_CIF_ISP_DPF_RB_FILTERSIZE_13x9 ? "13x9" : "9x9") + << ", NLL coeffs=" << RKISP1_CIF_ISP_DPF_MAX_NLF_COEFFS + << ", NLL scale=" + << (config_.nll.scale_mode == RKISP1_CIF_ISP_NLL_SCALE_LOGARITHMIC ? "log" : "linear") + << ", Strength (r,g,b)=" + << (int)strengthConfig_.r << "," << (int)strengthConfig_.g + << "," << (int)strengthConfig_.b; + + /* Preserve base (non-ISO) YAML configuration for restoration after manual mode. */ + baseConfig_ = config_; + baseStrengthConfig_ = strengthConfig_; - std::copy_n(nllValues.begin(), nllValues.size(), - std::begin(config_.nll.coeff)); - - std::string scaleMode = rFObject["scale-mode"].get<std::string>(""); - if (scaleMode == "linear") { - config_.nll.scale_mode = RKISP1_CIF_ISP_NLL_SCALE_LINEAR; - } else if (scaleMode == "logarithmic") { - config_.nll.scale_mode = RKISP1_CIF_ISP_NLL_SCALE_LOGARITHMIC; - } else { - LOG(RkISP1Dpf, Error) - << "Invalid 'RangeFilter:scale-mode': expected " - << "'linear' or 'logarithmic' value, got " - << scaleMode; - return -EINVAL; + /* Optional ISO-banded tuning */ + if (useIsoLevels_) { + LOG(RkISP1Dpf, Info) + << "DPF init: loaded " << isoLevels_.size() + << " ISO level(s) from tuning"; } - - const YamlObject &fSObject = tuningData["FilterStrength"]; - - strengthConfig_.r = fSObject["r"].get<uint16_t>(64); - strengthConfig_.g = fSObject["g"].get<uint16_t>(64); - strengthConfig_.b = fSObject["b"].get<uint16_t>(64); - return 0; }
Replace the inline parsing in init() with a call to parseConfig(). This simplifies init() and allows the parsing logic to be reused. The refactor also adds logging of the parsed base tuning and preserves the base config for manual mode restoration. The init method now: - Calls parseConfig() to load tuning data - Logs the parsed base configuration - Caches base config for manual mode restore - Logs ISO level count if present - Registers controls via getControlMap() Signed-off-by: Rui Wang <rui.wang@ideasonboard.com> --- src/ipa/rkisp1/algorithms/dpf.cpp | 141 +++++------------------------- 1 file changed, 24 insertions(+), 117 deletions(-)