use singe_cuda::memory::DeviceMemory;
use crate::{
context::StreamContext,
error::Result,
image::view::{C3, ImageView, MaskView},
};
use super::{
ImagePipeline,
statistics::{ImageStatistic, MaskedChannelScalarStatisticImage},
};
#[path = "statistics_masked_channel_norm_methods.rs"]
mod norm_methods;
impl<'a, T> ImagePipeline<'a, T, C3>
where
T: Copy,
Self: MaskedChannelScalarStatisticImage<T, C3>,
{
pub fn mean_channel_masked_into(
stream_context: &StreamContext,
source: &ImageView<'_, T, C3>,
mask: &MaskView<'_>,
channel: usize,
output: &mut DeviceMemory<f64>,
) -> Result<()> {
<Self as MaskedChannelScalarStatisticImage<T, C3>>::mean_channel_masked(
stream_context,
source,
mask,
channel,
output,
)
}
pub fn mean_channel_masked(
self,
mask: &MaskView<'_>,
channel: usize,
) -> Result<ImageStatistic<f64>> {
self.masked_channel_scalar_statistic(
mask,
channel,
<Self as MaskedChannelScalarStatisticImage<T, C3>>::mean_channel_masked,
)
}
fn masked_channel_scalar_statistic(
self,
mask: &MaskView<'_>,
channel: usize,
statistic: fn(
&StreamContext,
&ImageView<'_, T, C3>,
&MaskView<'_>,
usize,
&mut DeviceMemory<f64>,
) -> Result<()>,
) -> Result<ImageStatistic<f64>> {
let mut values = DeviceMemory::<f64>::create(1)?;
{
let source = self.view()?;
statistic(self.stream_context, &source, mask, channel, &mut values)?;
}
Ok(ImageStatistic::from_values(values))
}
}