Can't compute acquisitions with IndianPines
- Nature : ValueError
- Procedure : Keep base parameters with IndianPines (I tried changing Detector and SLM parameters, but never managed to complete an acquisition on IndianPines)
- Error code : ValueError: The points in dimension 2 must be strictly ascending or descending
- Full trace :
File "/home/lpaillet/Documents/Codes/simca/gui_elements/AcquisitionWidget.py", line 200, in run
scene = self.scene_widget.scene_config_editor.interpolate_scene(filtering_cube_wavelengths,chunk_size=50)
File "/home/lpaillet/Documents/Codes/simca/gui_elements/SceneWidget.py", line 378, in interpolate_scene
self.scene_interpolated = interpolate_scene_cube_along_wavelength(self.scene, self.list_wavelengths, new_sampling,chunk_size)
File "/home/lpaillet/Documents/Codes/simca/utils/scenes_helper.py", line 265, in interpolate_scene_cube_along_wavelength
interpolated_scene[i:i+chunk_size, j:j+chunk_size, :] = interpn((x[i:i+chunk_size], y[j:j+chunk_size], z), scene[i:i+chunk_size, j:j+chunk_size, :], tuple(new_coordinates))
File "/home/lpaillet/miniconda3/envs/simca-env/lib/python3.9/site-packages/scipy/interpolate/_rgi.py", line 637, in interpn
grid, descending_dimensions = _check_points(points)
File "/home/lpaillet/miniconda3/envs/simca-env/lib/python3.9/site-packages/scipy/interpolate/_rgi.py", line 27, in _check_points
raise ValueError(
ValueError: The points in dimension 2 must be strictly ascending or descending