[v1,07/16] ipa: rkisp1: algorithms: dpf: refactor Dpf init for tuning
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Message ID 20251028170847.2673396-7-rui.wang@ideasonboard.com
State New
Headers show
Series
  • [v1,01/16] ipa: rkisp1: algorithms: add Denoise base class shell
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Commit Message

Rui Wang Oct. 28, 2025, 5:08 p.m. UTC
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(-)

Patch
diff mbox series

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;
 }