use singe_cuda::memory::DeviceMemory;
use crate::{
context::StreamContext,
error::Result,
image::view::{ChannelLayout, ImageView},
};
use super::super::{
ImagePipeline,
statistics::{ErrorMetricImage, ImageStatistic},
};
impl<'a, T, L> ImagePipeline<'a, T, L>
where
T: Copy,
L: ChannelLayout,
Self: ErrorMetricImage<T, L>,
{
pub fn maximum_error_into(
stream_context: &StreamContext,
source_1: &ImageView<'_, T, L>,
source_2: &ImageView<'_, T, L>,
output: &mut DeviceMemory<f64>,
) -> Result<()> {
<Self as ErrorMetricImage<T, L>>::maximum_error(stream_context, source_1, source_2, output)
}
pub fn average_error_into(
stream_context: &StreamContext,
source_1: &ImageView<'_, T, L>,
source_2: &ImageView<'_, T, L>,
output: &mut DeviceMemory<f64>,
) -> Result<()> {
<Self as ErrorMetricImage<T, L>>::average_error(stream_context, source_1, source_2, output)
}
pub fn maximum_error(self, other: &ImageView<'_, T, L>) -> Result<ImageStatistic<f64>> {
self.error_metric(other, <Self as ErrorMetricImage<T, L>>::maximum_error)
}
pub fn average_error(self, other: &ImageView<'_, T, L>) -> Result<ImageStatistic<f64>> {
self.error_metric(other, <Self as ErrorMetricImage<T, L>>::average_error)
}
fn error_metric(
self,
other: &ImageView<'_, T, L>,
metric: fn(
&StreamContext,
&ImageView<'_, T, L>,
&ImageView<'_, T, L>,
&mut DeviceMemory<f64>,
) -> Result<()>,
) -> Result<ImageStatistic<f64>> {
let mut output = DeviceMemory::<f64>::create(1)?;
{
let source = self.view()?;
metric(self.stream_context, &source, other, &mut output)?;
}
Ok(ImageStatistic::from_values(output))
}
}