On line 127 in prepTrainInputs/main1.py, the code assumes the user's data is already in a CHM raster format. Add a detection for file type between .tif and .las/.laz. If the data is .las/.laz, create a CHM raster from the point cloud using cloud2trees's cloud2raster() function. Once the raster is generated (may take a while), feed it through the rest of the framework like a tif would be.