'numpy.ndarray' object has no attribute 'unsqueeze' error when using MaskRCNN in arcgis.learn

ColinFlynn1 — Sat, 11 Dec 2021 11:59:54 GMT

I am trying to setup a deep learning framework with a MaskRCNN model. I am using a LiDAR intensity raster image and a feature class of water body polygons to create the training data. When I run the arcgis.learn.prepare_data() tool, I get the following error message:

---------------------------------------------------------------------------AttributeError                            Traceback (most recent call last)<ipython-input-22-c485ff65baef> in <module>      2 # When running export training data for deep learning, make sure the meta data format is appropriate for the model      3 data_path = r'Q:/Data/CFlynn/DL_Breaklines/MaskRCNN/TrainingData4'----> 4 data = prepare_data(data_path, batch_size=2, imagery_type='ms')~\AppData\Local\ESRI\conda\envs\pyenvdeep\lib\site-packages\arcgis\learn\_data.py in prepare_data(path, class_mapping, chip_size, val_split_pct, batch_size, transforms, collate_fn, seed, dataset_type, resize_to, **kwargs)    630             kwargs['do_normalize'] = False    631             if transforms ==  None:--> 632                 data = (src.transform(size=chip_size, tfm_y=True)    633                     .databunch(**databunch_kwargs))    634             else:~\AppData\Local\ESRI\conda\envs\pyenvdeep\lib\site-packages\fastai\data_block.py in transform(self, tfms, **kwargs)    500         if not tfms: tfms=(None,None)    501         assert is_listy(tfms) and len(tfms) == 2, "Please pass a list of two lists of transforms (train and valid)."--> 502         self.train.transform(tfms[0], **kwargs)    503         self.valid.transform(tfms[1], **kwargs)    504         if self.test: self.test.transform(tfms[1], **kwargs)~\AppData\Local\ESRI\conda\envs\pyenvdeep\lib\site-packages\fastai\data_block.py in transform(self, tfms, tfm_y, **kwargs)    718     def transform(self, tfms:TfmList, tfm_y:bool=None, **kwargs):    719         "Set the `tfms` and `tfm_y` value to be applied to the inputs and targets."--> 720         _check_kwargs(self.x, tfms, **kwargs)    721         if tfm_y is None: tfm_y = self.tfm_y    722         tfms_y = None if tfms is None else list(filter(lambda t: getattr(t, 'use_on_y', True), listify(tfms)))~\AppData\Local\ESRI\conda\envs\pyenvdeep\lib\site-packages\fastai\data_block.py in _check_kwargs(ds, tfms, **kwargs)    588     if (tfms is None or len(tfms) == 0) and len(kwargs) == 0: return    589     if len(ds.items) >= 1:--> 590         x = ds[0]    591         try: x.apply_tfms(tfms, **kwargs)    592         except Exception as e:~\AppData\Local\ESRI\conda\envs\pyenvdeep\lib\site-packages\fastai\data_block.py in __getitem__(self, idxs)    116         "returns a single item based if `idxs` is an integer or a new `ItemList` object if `idxs` is a range."    117         idxs = try_int(idxs)--> 118         if isinstance(idxs, Integral): return self.get(idxs)    119         else: return self.new(self.items[idxs], inner_df=index_row(self.inner_df, idxs))    120  ~\AppData\Local\ESRI\conda\envs\pyenvdeep\lib\site-packages\fastai\vision\data.py in get(self, i)    269     def get(self, i):    270         fn = super().get(i)--> 271         res = self.open(fn)    272         self.sizes[i] = res.size    273         return res ~\AppData\Local\ESRI\conda\envs\pyenvdeep\lib\site-packages\arcgis\learn\models\_maskrcnn_utils.py in open(self, fn)    139         x = gdal.Open(path).ReadAsArray()    140         if len(x.shape)==2:--> 141             x = x.unsqueeze(0)    142         x = torch.tensor(x.astype(np.float32))    143         x = ArcGISMSImage(x)AttributeError: 'numpy.ndarray' object has no attribute 'unsqueeze'

I'd appreciate any comments or suggestions.

Re: 'numpy.ndarray' object has no attribute 'unsqueeze' error when using MaskRCNN in arcgis.learn

Anonymous User — Fri, 24 Jul 2020 18:17:41 GMT

This issue can occur when Anaconda and ArcGIS Pro are installed on the same machine. This setup is not recommended because having two different Conda versions interfering with each other can lead to unexpected behavior. See the following documentation for more info:

https://developers.arcgis.com/python/guide/understanding-conda/

Fix:

- Uninstall Anaconda and set up a new deep learning python environment in ArcGIS Pro

https://pro.arcgis.com/en/pro-app/help/analysis/image-analyst/install-deep-learning-frameworks.htm

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'numpy.ndarray' object has no attribute 'unsqueeze' error when using MaskRCNN in arcgis.learn

Re: 'numpy.ndarray' object has no attribute 'unsqueeze' error when using MaskRCNN in arcgis.learn