python train_vast.py : ValueError: min() arg is an empty sequence
Opened this issue · 8 comments
python train_vast.py ....
File "E:\train_vast.py", line 291, in <module>
train_main()
File "E:\train_vast.py", line 283, in train_main
training(lp, op, pp, args.test_iterations, args.save_iterations,
File "E:\train_vast.py", line 44, in training
big_scene = BigScene(dataset) # 这段代码整个都是加载数据集，同时包含高斯模型参数的加载
File "E:\VastGaussian_scene\datasets.py", line 77, in __init__
DataPartitioning = ProgressiveDataPartitioning(scene_info, self.train_cameras[resolution_scales[0]],
File "E:\VastGaussian_scene\data_partition.py", line 61, in __init__
self.run_DataPartition(train_cameras)
File "E:\VastGaussian_scene\data_partition.py", line 66, in run_DataPartition
partition_list = self.Position_based_data_selection(partition_dict)
File "E:\VastGaussian_scene\data_partition.py", line 176, in Position_based_data_selection
ori_point_bbox=self.get_point_range(points),
File "E:\VastGaussian_scene\data_partition.py", line 138, in get_point_range
return [min(x_list), max(x_list),
ValueError: min() arg is an empty sequence
I also got the same error. Did you find any solutions?
Which dataset did you use for the test? I have not encountered such problems with tandt/train data
I am encountering a ValueError: min() arg is an empty sequence error when running train_vast.py. I used COLMAP to generate the datasets. The same datasets work fine with train.py, but the error occurs with train_vast.py.
Below is the dataset used:
I'm facing the same problem.
The solution that worked for me was replacing --plantform threejs with --plantform tj in the arguments to run.
I wrote about it in #21
The same problem occurs! return [min(x_list), max(x_list), ValueError: min() arg is an empty sequence，is there any solutions？The dataset I used is my own data that COLMAP exported.
我也碰见同样的问题？请问怎么解决。数据集用train.py可以运行
Hello, has anyone found a solution yet? Thanks in advance！
I got same problem when use threejs "--pos "0 0 0" --ros "0 0 0 0 0 0 "" ,anyway to fix it?