def _get_slice_metrics(self, img_recons, img_targets, extra_params):
img_recons = img_recons.detach() # Just in case.
img_targets = img_targets.detach()
max_range = img_targets.max() - img_targets.min()
slice_ssim = self.ssim_loss(img_recons, img_targets, max_val=max_range)
slice_psnr = psnr(img_recons, img_targets, data_range=max_range)
slice_nmse = nmse(img_recons, img_targets)
slice_metrics = {
'slice_ssim': slice_ssim,
'slice_nmse': slice_nmse,
'slice_psnr': slice_psnr
}
# Additional metrics for separating between acceleration factors.
if 'acceleration' in extra_params:
slice_metrics[
f'acc_{extra_params["acceleration"]}_ssim'] = slice_ssim
slice_metrics[
f'acc_{extra_params["acceleration"]}_psnr'] = slice_psnr
slice_metrics[
f'acc_{extra_params["acceleration"]}_nmse'] = slice_nmse
return slice_metrics
def _get_slice_metrics(self, recons, targets, extra_params):
img_recons = recons['img_recons'].detach() # Just in case.
img_targets = targets['img_targets'].detach()
max_range = img_targets.max() - img_targets.min()
slice_ssim = self.ssim(img_recons, img_targets)
slice_psnr = psnr(img_recons, img_targets, data_range=max_range)
slice_nmse = nmse(img_recons, img_targets)
slice_metrics = {
'slice/ssim': slice_ssim,
'slice/nmse': slice_nmse,
'slice/psnr': slice_psnr
}
if 'rss_recons' in recons:
rss_recons = recons['rss_recons'].detach()
rss_targets = targets['rss_targets'].detach()
max_range = rss_targets.max() - rss_targets.min()
rss_ssim = self.ssim(rss_recons, rss_targets)
rss_psnr = psnr(rss_recons, rss_targets, data_range=max_range)
rss_nmse = nmse(rss_recons, rss_targets)
slice_metrics['rss/ssim'] = rss_ssim
slice_metrics['rss/psnr'] = rss_psnr
slice_metrics['rss/nmse'] = rss_nmse
else:
rss_ssim = rss_psnr = rss_nmse = 0
# Additional metrics for separating between acceleration factors.
if 'acceleration' in extra_params:
acc = extra_params["acceleration"]
slice_metrics[f'slice_acc_{acc}/ssim'] = slice_ssim
slice_metrics[f'slice_acc_{acc}/psnr'] = slice_psnr
slice_metrics[f'slice_acc_{acc}/nmse'] = slice_nmse
if 'rss_recons' in recons:
slice_metrics[f'rss_acc_{acc}/ssim'] = rss_ssim
slice_metrics[f'rss_acc_{acc}/psnr'] = rss_psnr
slice_metrics[f'rss_acc_{acc}/nmse'] = rss_nmse
return slice_metrics
def _get_slice_metrics(img_recons, img_targets):
img_recons = img_recons.detach() # Just in case.
img_targets = img_targets.detach()
max_range = img_targets.max() - img_targets.min()
slice_ssim = ssim_loss(img_recons, img_targets, max_val=max_range)
slice_psnr = psnr(img_recons, img_targets, data_range=max_range)
slice_nmse = nmse(img_recons, img_targets)
return {'slice_ssim': slice_ssim, 'slice_nmse': slice_nmse, 'slice_psnr': slice_psnr}
def _get_slice_metrics(self, recons, targets, extra_params):
rss_metrics = dict()
rss_recons = recons['rss_recons'].detach()
rss_targets = targets['rss_targets'].detach()
rss_ssim = self.ssim(rss_recons, rss_targets)
rss_psnr = psnr(rss_recons, rss_targets)
rss_nmse = nmse(rss_recons, rss_targets)
rss_metrics['rss/ssim'] = rss_ssim
rss_metrics['rss/psnr'] = rss_psnr
rss_metrics['rss/nmse'] = rss_nmse
# Additional metrics for separating between acceleration factors.
acc = extra_params["acceleration"]
rss_metrics[f'rss_acc_{acc}/ssim'] = rss_ssim
rss_metrics[f'rss_acc_{acc}/psnr'] = rss_psnr
rss_metrics[f'rss_acc_{acc}/nmse'] = rss_nmse
return rss_metrics
def _get_slice_metrics(self, recons, targets, extra_params):
rss_metrics = dict()
rss_recons = recons['rss_recons'].detach()
rss_targets = targets['rss_targets'].detach()
max_val = extra_params['max']
# Add max_val here for accurate block level SSIM metrics!!
rss_ssim = self.ssim(rss_recons, rss_targets)
rss_psnr = psnr(rss_recons, rss_targets)
rss_nmse = nmse(rss_recons, rss_targets)
rss_metrics['rss/ssim'] = rss_ssim
rss_metrics['rss/psnr'] = rss_psnr
rss_metrics['rss/nmse'] = rss_nmse
# Additional metrics for separating between acceleration factors.
acc = extra_params['acceleration']
rss_metrics[f'rss_acc_{acc}/ssim'] = rss_ssim
rss_metrics[f'rss_acc_{acc}/psnr'] = rss_psnr
rss_metrics[f'rss_acc_{acc}/nmse'] = rss_nmse
return rss_metrics