Initial Python infrastructure to build more complex processing pipelines and the corresponding changes in ROOF filters

4 files changed, 11 insertions, 2 deletions

diff --git a/docs/hardware.txt b/docs/hardware.txt
index a293887..50c3a0c 100644
--- a/docs/hardware.txt
+++ b/docs/hardware.txt
@@ -4,3 +4,8 @@
     * With 46 packets, however, we can't split a full rotation in a whole number of packets.
     So, we need to find maximal number m, so that 
 	    (m <= n) and (samples_per_rotation % m = 0)					i.e. 40
+
+
+Questions
+=========
+ - Do we need to compute 'flats' and 'darks' for each plane separately? Or just one set will work for all?
diff --git a/docs/schemes/roof_graph.odg b/docs/schemes/roof_graph.odg
new file mode 100644
index 0000000..1fb4643
--- /dev/null
+++ b/docs/schemes/roof_graph.odg
diff --git a/docs/schemes/roof_graph.pdf b/docs/schemes/roof_graph.pdf
new file mode 100644
index 0000000..8ba6b7f
--- /dev/null
+++ b/docs/schemes/roof_graph.pdf
diff --git a/docs/todo.txt b/docs/todo.txt
index 8497a69..88b518c 100644
--- a/docs/todo.txt
+++ b/docs/todo.txt
@@ -3,13 +3,17 @@ Main
  + Add plane/frame-number/broken metadata in the UFO buffers. Check propagation trough standard ufo filters. [ propogates trough processors, but not reductors ]
  + Plane selector filter
  - Handle packets with data from multiple datasets
- - Filter to ingest zero-padded broken frames.
  - Try UFO 'flat-field' correction filter
  - Cone-beam to parallel-beam resampling ?
  - Full reconstruction chain
  - Try UFO visualization filter
- - "Reconstructed data storage" and "Visualization + raw data storage" modes
+ - "Reconstructed data storage" and "Visualization + raw data storage" modes. Implement stand-alone 'roof-converter' filter.
 
+If necesary
+===========
+ - Task 'roof-ingest-missing' to ingest zero-padded broken frames (and include get_writer())
+ - Add ROOF metadata (plane, etc.) if reading from sinograms
+ 
 Optional
 ========
  - Try online compression of the ROOF data @Gregoire