Open judyqiu1996 opened 4 years ago
Same question It is beyond logic and above reason
Since the label of the test set is not publicly available, we split the training set into train and validation split following the previous work. We provide the training split in the data folder, which are commonly used in extensive 3D object detection works. You don't need to split the training set by yourself. The second issue is due to the incompatibility between PyTorch tensor and numpy.array. Please make sure your pytorch version is consistent with we specified in the readme, or convert thet data type handly.
Since the label of the test set is not publicly available, we split the training set into train and validation split following the previous work. We provide the training split in the data folder, which are commonly used in extensive 3D object detection works. You don't need to split the training set by yourself. The second issue is due to the incompatibility between PyTorch tensor and numpy.array. Please make sure your pytorch version is consistent with we specified in the readme, or convert thet data type handly.
Thanks for answers. How to use the model on my own data?
Did anyone figure out how to get it to work on your own test data?
I found the test dataset and training dataset are the same. So the first time I run the model and run the test.sh, I found the accuracy is about 90%. So I split training set to 2 parts (train and test) and want to run test.sh on the test dataset. But it will always showing it will get img from training dir. Something like this
And also I met this problem,