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View Code? Open in Web Editor NEW[ICPR 2020] PS2-Net: A Locally and Globally Aware Network for Point-Based Semantic Segmentation
[ICPR 2020] PS2-Net: A Locally and Globally Aware Network for Point-Based Semantic Segmentation
when run "python main_P2/train.py --dataset_name ScanNet --dataset_size 93402 --data_dir ./datasets/ScanNet/P2/ --classes 21 --input_feat 3 --log_dir log"
PS-2Net/models/model.py", line 58, in init
self.input_data = torch.FloatTensor(self.opt.batch_size, 9, self.opt.num_point).uniform_()
AttributeError: 'Namespace' object has no attribute 'num_point'
I really appreciate your efforts for this work. And I'm very much eager to try out this work for my custom dataset. Hence seeking your valuable guidance and help
I seek you help on how to prepare/preprocess this dataset into train and test folders in order to apply your model for doing Semantic Segmentation task.
Your guidance will be very helpful for me and would be grateful for the same.
Thanks in advance
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