Could you tell me what's the purpose and theory of this code part in get_semantic_map function:
"for k in range(dataset.palette.shape[0]):
tmp[:,:,k]=np.float32((semantic[:,:,0]==dataset.palette[k,0])&(semantic[:,:,1]==dataset.palette[k,1])&(semantic[:,:,2]==dataset.palette[k,2]))"
Could you tell me what's the purpose and theory of this code part in get_semantic_map function: "for k in range(dataset.palette.shape[0]): tmp[:,:,k]=np.float32((semantic[:,:,0]==dataset.palette[k,0])&(semantic[:,:,1]==dataset.palette[k,1])&(semantic[:,:,2]==dataset.palette[k,2]))"