Python implementation, simulation, and result parsing scripts for the NIMBLE-PATCH algorithm.
The repository includes two scripts to reproduce the results presented in the paper and provide the infrastructure to allow the comparison of NIMBLE-PATCH with other algorithms or adapt NIMBLE-PATCH for other use cases.
This script presents the simulation environment used to compare NIMBLE-PATCH with Gerchberg-Saxton (both GSx1 and GSx3 as described in the paper) in the context of point cloud generation. The script is initially configured for comparison across four cases:
- 64x64 SLM, 4 targets
- 64x64 SLM, 16 targets
- 128x128 SLM, 4 targets
- 128x128 SLM, 16 targets
By default, GSx1 is selected and GS-based holograms will use this lighter-weight variant of the GS algorithm.
cgh_gs_pix_sampling key of the system dictionary can be set to 3 to switch to GSx3.
When run, the target depth planes (and two neighboring planes for each target plane) will be plotted and displayed, with targets marked as a red circle representing the spot size. Target planes without the red circles are also plotted and displayed, and can be saved and used for further processing.
This script reproduces the plots presented in the paper from the sweep result files located under the results directory.
Please refer to the paper for the legend of the plots.
The plots are, by default, saved under the processed_results directory once the script is run.
The names of the figure files indicate which figure number they correspond to within the paper.