diff options
| -rw-r--r-- | Wrappers/Python/ccpi/astra/processors/FBP.py | 13 |
1 files changed, 10 insertions, 3 deletions
diff --git a/Wrappers/Python/ccpi/astra/processors/FBP.py b/Wrappers/Python/ccpi/astra/processors/FBP.py index 4405af6..adc4119 100644 --- a/Wrappers/Python/ccpi/astra/processors/FBP.py +++ b/Wrappers/Python/ccpi/astra/processors/FBP.py @@ -11,15 +11,22 @@ class FBP(DataProcessor): Input: Volume Geometry Sinogram Geometry Filter_type - Device = cpu/gpu. For 2D cases we have the option cpu/gpu + Device = 'cpu' or 'gpu'. For 2D cases we have the option cpu/gpu For 3D cases we have the option of gpu Cases: 1) Parallel 3D FBP: using 2D FBP per slice ( CPU/GPU ) - Example: FBP(ig, ag, 'ram-lak', 'cpu') + Example: FBP(ig, ag, 'ram-lak', device='cpu') FBP.set_input(sinogram) reconstruction = FBP.get_ouput() + + Filters: 'ram-lak', 'shepp-logan', 'cosine', 'hamming', 'hann', 'none', 'tukey', + 'lanczos', 'triangular', 'gaussian', 'barlett-hann', 'blackman', 'nuttall', + 'blackman-harris', 'blackman-nuttall', 'flat-top', 'kaiser', 'parzen', + 'projection', 'sinogram', 'rprojection', 'rsinogram'. + + Output: ImageData @@ -91,7 +98,7 @@ class FBP(DataProcessor): filter_type = filter_type) # Raise an error if the user select a filter other than ram-lak, for 2D case - if self.filter_type !='ram-lak': + if self.filter_type !='ram-lak' and self.device == 'cpu': raise NotImplementedError('Currently in astra, 2D FBP is using only the ram-lak filter, switch to gpu for other filters') if (self.sinogram_geometry.geom_type == 'cone' and self.device == 'gpu') and self.sinogram_geometry.channels>=1: |