[libcamera-devel] [IPAIPU3 PATCH v5 6/6] ipa: ipu3: Inline parseStatistics() into processStatsBuffer()

Kieran Bingham kieran.bingham at ideasonboard.com
Fri Apr 8 00:20:37 CEST 2022


Quoting Umang Jain via libcamera-devel (2022-04-06 15:17:09)
> Since we have moved away from switch/case on the operation ID,
> there's little reason to split the operation in two functions.
> 
> Signed-off-by: Umang Jain <umang.jain at ideasonboard.com>
> Reviewed-by: Laurent Pinchart <laurent.pinchart at ideasonboard.com>

Reviewed-by: Kieran Bingham <kieran.bingham at ideasonboard.com>

> ---
>  ipu3.cpp | 74 ++++++++++++++++++++++++--------------------------------
>  1 file changed, 31 insertions(+), 43 deletions(-)
> 
> diff --git a/ipu3.cpp b/ipu3.cpp
> index 0543a2e..7ecd377 100644
> --- a/ipu3.cpp
> +++ b/ipu3.cpp
> @@ -60,10 +60,6 @@ private:
>                             const ControlInfoMap &sensorControls,
>                             ControlInfoMap *ipaControls);
>         void runAiq(unsigned int frame);
> -       void parseStatistics(unsigned int frame,
> -                            int64_t frameTimestamp,
> -                            const ipu3_uapi_stats_3a *stats,
> -                            const ControlList& sensorCtrls);
>  
>         void setControls(unsigned int frame);
>  
> @@ -379,43 +375,6 @@ void IPAIPU3::processStatsBuffer(const uint32_t frame, const int64_t frameTimest
>         const ipu3_uapi_stats_3a *stats =
>                 reinterpret_cast<ipu3_uapi_stats_3a *>(mem.data());
>  
> -       parseStatistics(frame, frameTimestamp, stats, sensorControls);
> -}
> -
> -void IPAIPU3::runAiq([[maybe_unused]] unsigned int frame)
> -{
> -       /* Run algorithms into/using this context structure */
> -       resultsHistory_.extendOne();
> -       aiq::AiqResults& latestResults = resultsHistory_.latest();
> -
> -       /* Todo: Refactor AiqInputParameters interface to set following parameters. */
> -       aiqInputParams_.afParams.lens_position = lensPosition_;
> -       aiqInputParams_.afParams.lens_movement_start_timestamp = lensMovementStartTime_;
> -
> -       aiq_.run2a(frame, aiqInputParams_, latestResults);
> -
> -       exposure_ = latestResults.ae()->exposures[0].sensor_exposure->coarse_integration_time;
> -       gain_ = latestResults.ae()->exposures[0].sensor_exposure->analog_gain_code_global;
> -
> -       /*
> -        * Af algorithm compares the timestamp of start of the lens movement and
> -        * that of the statistics generated to estimate whether next lens
> -        * position should be produced.
> -        * \todo use the lens movement start time reported by the pipeline handler.
> -        */
> -       if (lensPosition_ != latestResults.af()->next_lens_position) {
> -               utils::time_point time = utils::clock::now();
> -               uint64_t usecs = std::chrono::duration_cast<std::chrono::microseconds>(time.time_since_epoch()).count();
> -               lensMovementStartTime_ = usecs;
> -       }
> -       lensPosition_ = latestResults.af()->next_lens_position;
> -}
> -
> -void IPAIPU3::parseStatistics(unsigned int frame,
> -                             int64_t frameTimestamp,
> -                             const ipu3_uapi_stats_3a *stats,
> -                             const ControlList& sensorCtrls)
> -{
>         ControlList ctrls(controls::controls);
>  
>         /* \todo React to statistics and update internal state machine. */
> @@ -438,11 +397,11 @@ void IPAIPU3::parseStatistics(unsigned int frame,
>         int32_t effectiveGain = 0;
>         ControlValue ctrlValue;
>  
> -       ctrlValue = sensorCtrls.get(V4L2_CID_EXPOSURE);
> +       ctrlValue = sensorControls.get(V4L2_CID_EXPOSURE);
>         if (!ctrlValue.isNone())
>                 effectiveExpo = ctrlValue.get<int32_t>();
>  
> -       ctrlValue = sensorCtrls.get(V4L2_CID_ANALOGUE_GAIN);
> +       ctrlValue = sensorControls.get(V4L2_CID_ANALOGUE_GAIN);
>         if (!ctrlValue.isNone())
>                 effectiveGain = ctrlValue.get<int32_t>();
>  
> @@ -472,6 +431,35 @@ void IPAIPU3::parseStatistics(unsigned int frame,
>         metadataReady.emit(frame, ctrls);
>  }
>  
> +void IPAIPU3::runAiq([[maybe_unused]] unsigned int frame)
> +{
> +       /* Run algorithms into/using this context structure */
> +       resultsHistory_.extendOne();
> +       aiq::AiqResults& latestResults = resultsHistory_.latest();
> +
> +       /* Todo: Refactor AiqInputParameters interface to set following parameters. */
> +       aiqInputParams_.afParams.lens_position = lensPosition_;
> +       aiqInputParams_.afParams.lens_movement_start_timestamp = lensMovementStartTime_;
> +
> +       aiq_.run2a(frame, aiqInputParams_, latestResults);
> +
> +       exposure_ = latestResults.ae()->exposures[0].sensor_exposure->coarse_integration_time;
> +       gain_ = latestResults.ae()->exposures[0].sensor_exposure->analog_gain_code_global;
> +
> +       /*
> +        * Af algorithm compares the timestamp of start of the lens movement and
> +        * that of the statistics generated to estimate whether next lens
> +        * position should be produced.
> +        * \todo use the lens movement start time reported by the pipeline handler.
> +        */
> +       if (lensPosition_ != latestResults.af()->next_lens_position) {
> +               utils::time_point time = utils::clock::now();
> +               uint64_t usecs = std::chrono::duration_cast<std::chrono::microseconds>(time.time_since_epoch()).count();
> +               lensMovementStartTime_ = usecs;
> +       }
> +       lensPosition_ = latestResults.af()->next_lens_position;
> +}
> +
>  void IPAIPU3::setControls(unsigned int frame)
>  {
>         ControlList sensorCtrls(ctrls_);
> -- 
> 2.31.0
>


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