TypeError: sequence item 0: expected str instance, int found

[caimingqi]

(diffconv)root@ailab-PowerEdge-T640:/home/ailab/diffconvNet#pvthon3 data_prep.py --dataset=toronto3d Traceback (most recent call last): File "data_prep.py", line 104, in eval("download %s(data_dir)"%dataset) File "", line 1, in File "data_prep.py", ine 78, in download_toronto3d split Toronto3D(i, data dir=data dir) File "data_prep.py", line 7, in split_Toronto3D import open3d .ml.torch as ml3d File "/root/anaconda3/envs/diffconv/lib/python3.7/site-packages/open3d/ml/torch/ init.py", line 38, in match_torch_ver = '.'.join( o3d torch version.release[:2] + ('*',)) TypeError: sequence item 0: expected str instance, int found

how to solve the question?

[mmmmimic]

Hi, I didn't encounter this error before. But it seems that it failed to load open3d. In 'match_torch_ver = '.'.join( o3d torch version.release[:2] + ('*',))', o3d_torch_version.release[:2] is an integer, which should be a string. You may want to change the type of it by str()? This is an open3D error thus please also check if open3d was installed correctly:)

[caimingqi]

can you tell me the required open3d version

[mmmmimic]

I am using open3d 0.15.2

[caimingqi]

Is this the "processing 63.65％ points in region 2" when running? It is so slow.

[mmmmimic]

Yes, I am afraid it is slow.

[caimingqi]

I also encountered problems raised by others during the Scene segmentation，many values remain unchanged，Does it change to change the default super parameter，i may try it

Train 152, loss: 1.704556, train acc: 0.579693, train avg acc: 0.111111, train iou: 0.072462, mean iou: 0.716269 Test 152, loss: 1.720625, test acc: 0.545929, test avg acc: 0.111111, test iou: 0.068241, mean iou: 0.693581 Train 153, loss: 1.699433, train acc: 0.584002, train avg acc: 0.111111, train iou: 0.073000, mean iou: 0.716085 Test 153, loss: 1.721535, test acc: 0.545929, test avg acc: 0.111111, test iou: 0.068241, mean iou: 0.693581 Train 154, loss: 1.701942, train acc: 0.581193, train avg acc: 0.111111, train iou: 0.072649, mean iou: 0.716602 Test 154, loss: 1.719878, test acc: 0.545929, test avg acc: 0.111111, test iou: 0.068241, mean iou: 0.693581 Train 155, loss: 1.699353, train acc: 0.582737, train avg acc: 0.111111, train iou: 0.072842, mean iou: 0.716361 Test 155, loss: 1.722167, test acc: 0.545929, test avg acc: 0.111111, test iou: 0.068241, mean iou: 0.693581

[mmmmimic]

Hi, I am sorry for the problem. As you may notice from the other post I failed to reproduce the error when I ran the experiments from scratch and I have no idea about this.

[mmmmimic]

Hi, if you are still interested please check issue #7