Closed zzusunquan closed 4 years ago
i run the CUDA_VISIBLE_DEVICES=0 python learning/main.py --dataset custom_dataset --SEMA3D_PATH /home/s206/Documents/sunquan/superpoint_graph-ssp-spg/SEMA3D_DIR --db_test_name testred --db_train_name trainval \ --epochs 500 --lr_steps '[350, 400, 450]' --test_nth_epoch 100 --model_config 'gru_10,f_10' --ptn_nfeat_stn 11 \ --nworkers 2 --pc_attribs xyzelpsv --odir "results/sema3d/best_paris"
and i changed the --ptn_nfeat_stn 11 to --ptn_nfeat_stn 5 it Reported the following error. RuntimeError: Given groups=1, weight of size [64, 8, 1], expected input[960, 5, 128] to have 8 channels, but got 5 channels instead
My code is not updated. I changed spg.py according to the question #151 and it works
i meet the same paoblem as the #166
In the train() function, it works. But in the eval() function, it fails
ValueError: operands could not be broadcast together with shapes (10,) (8,) (10,)
I realized the error that my label 0 is an unmarked point, but I think it just made the error into ValueError: operands could not be broadcast together with shapes (9,) (8,) (9,) I'm re-partitioning and SPG , I can see the new results tomorrow, will there be the same error, can you give me some guidance
Hi loicland: I want use spg in the Paris-Lille-3D, thit data does not have rgb information. I copied the semantic3d data foramt ,and divided paris data into a training txt and a labels file. Changed function read_custom_fomat in provider.py .and partition.py can run well. but when i run the learning/main.py . Reported the following error.