pytorch_connectomics
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zudi-lin
PyTorch Connectomics: segmentation toolbox for EM connectomics
hi i only find the code about clustering here. Is there any code about the active learning process？
In file `connectomics/data/utils/data_segmentation.py`: - Added missing bracket - Added type casting to `int62` Indexing requires int or boolean. But the mask used for indexing where of format float without decimal...
# Steps to reproduce Use `VolumeDataset` without specifying a list of labels. In line [48](https://github.com/zudi-lin/pytorch_connectomics/blob/5e9182d642a79b522f606a8d8ebe4c7e2b54a815/connectomics/data/dataset/dataset_volume.py#L48), the label list is initialized with `None.` In line [88](https://github.com/zudi-lin/pytorch_connectomics/blob/5e9182d642a79b522f606a8d8ebe4c7e2b54a815/connectomics/data/dataset/dataset_volume.py#L88) with set `self.label_vol_ratio = self.sample_label_size...
Hello, how do I set up a configuration file for unsupervised learning? My settings are as follows: DATASET: IMAGE_NAME: train.tif LABEL_NAME: None AUGMENTOR: ADDITIONAL_TARGETS_NAME: None ADDITIONAL_TARGETS_TYPE: None But there is...
Thank you very much for your contributions! :) I'm implementing MALA's network in this pipeline. It saves memory by using convolution without padding, therefore can afford a larger input size...
Hello, I'm interested in the pytorch_connectomics. So I try to learn it, however, I encounter a problem. In the notebook, the data you gave is some pictures in png format,...
if the dataset is tile format, it will update and gets trained in run_chunk()
