# How to transform a quickdraw image to 84 by 84 in pytorch using the learn2learn library?

**URL:** <https://discuss.pytorch.org/t/how-to-transform-a-quickdraw-image-to-84-by-84-in-pytorch-using-the-learn2learn-library/178292>\
**Category:** Uncategorized\
**Created:** [April 23, 2023, 1:49am UTC](https://discuss.pytorch.org/t/how-to-transform-a-quickdraw-image-to-84-by-84-in-pytorch-using-the-learn2learn-library/178292 "2023-04-23T01:49:18Z")\
**Posts on this page:** 1\
**Page:** 1

<div class="post-metadata">

**Author:** ![Brando\_Miranda](https://discuss.pytorch.org/user_avatar/discuss.pytorch.org/brando_miranda/32/14355_2.png) [@Brando\_Miranda](https://discuss.pytorch.org/u/Brando_Miranda)\
**Post date:** [April 23, 2023, 1:49am UTC](https://discuss.pytorch.org/t/how-to-transform-a-quickdraw-image-to-84-by-84-in-pytorch-using-the-learn2learn-library/178292/1 "2023-04-23T01:49:18Z")

</div>

I was trying to use learn2learn’s QuickDraw but it seems like I’m getting errors when I attempt to apply transformations (resizing to 84x84, random crop) on it. The issue stems from when l2l’s quickdraw library attempts to apply transformations onto a quickdraw image (that is apparently in the form of a np.memmap/.npy record that PIL can’t understand) and so I get the following error:

```auto
Traceback (most recent call last):
  File "/home/pzy2/diversity-for-predictive-success-of-meta-learning/div_src/diversity_src/dataloaders/maml_patricks_l2l.py", line 2300, in <module>
    loop_through_l2l_indexable_benchmark_with_model_test()
  File "/home/pzy2/diversity-for-predictive-success-of-meta-learning/div_src/diversity_src/dataloaders/maml_patricks_l2l.py", line 2259, in loop_through_l2l_indexable_benchmark_with_model_test
    for benchmark in [quickdraw_l2l_tasksets()]: #hdb8_l2l_tasksets(),hdb9_l2l_tasksets(), delaunay_l2l_tasksets()]:#[dtd_l2l_tasksets(), cu_birds_l2l_tasksets(), fc100_l2l_tasksets()]:
  File "/home/pzy2/diversity-for-predictive-success-of-meta-learning/div_src/diversity_src/dataloaders/maml_patricks_l2l.py", line 2216, in quickdraw_l2l_tasksets
    _transforms: tuple[TaskTransform, TaskTransform, TaskTransform] = get_task_transforms_quickdraw(_datasets,
  File "/home/pzy2/diversity-for-predictive-success-of-meta-learning/div_src/diversity_src/dataloaders/maml_patricks_l2l.py", line 2184, in get_task_transforms_quickdraw
    train_transforms: TaskTransform = DifferentTaskTransformIndexableForEachDataset(train_dataset,
  File "/home/pzy2/diversity-for-predictive-success-of-meta-learning/div_src/diversity_src/dataloaders/common.py", line 130, in __init__
    self.indexable_dataset = MetaDataset(indexable_dataset)
  File "learn2learn/data/meta_dataset.pyx", line 59, in learn2learn.data.meta_dataset.MetaDataset. __init__
  File "learn2learn/data/meta_dataset.pyx", line 96, in learn2learn.data.meta_dataset.MetaDataset.create_bookkeeping
  File "learn2learn/data/meta_dataset.pyx", line 65, in learn2learn.data.meta_dataset.MetaDataset. __getitem__
  File "/home/pzy2/miniconda3/envs/metalearning3.9/lib/python3.9/site-packages/learn2learn/vision/datasets/quickdraw.py", line 511, in __getitem__
    image = self.transform(image)
  File "/home/pzy2/miniconda3/envs/metalearning3.9/lib/python3.9/site-packages/torchvision/transforms/transforms.py", line 60, in __call__
    img = t(img)
  File "/home/pzy2/miniconda3/envs/metalearning3.9/lib/python3.9/site-packages/torch/nn/modules/module.py", line 1051, in _call_impl
    return forward_call(*input, **kwargs)
  File "/home/pzy2/miniconda3/envs/metalearning3.9/lib/python3.9/site-packages/torchvision/transforms/transforms.py", line 900, in forward
    i, j, h, w = self.get_params(img, self.scale, self.ratio)
  File "/home/pzy2/miniconda3/envs/metalearning3.9/lib/python3.9/site-packages/torchvision/transforms/transforms.py", line 859, in get_params
    width, height = F._get_image_size(img)
  File "/home/pzy2/miniconda3/envs/metalearning3.9/lib/python3.9/site-packages/torchvision/transforms/functional.py", line 67, in _get_image_size
    return F_pil._get_image_size(img)
  File "/home/pzy2/miniconda3/envs/metalearning3.9/lib/python3.9/site-packages/torchvision/transforms/functional_pil.py", line 26, in _get_image_size
    raise TypeError("Unexpected type {}".format(type(img)))
TypeError: Unexpected type <class 'numpy.memmap'>

```

original:

- [Learn2Learn's TieredImageNet taking long time to load, QuickDraw errors during transformation stage? · Issue #392 · learnables/learn2learn · GitHub](https://github.com/learnables/learn2learn/issues/392)
- [python - How to transform a quickdraw image to 84 by 84 in pytorch using the learn2learn library? - Stack Overflow](https://stackoverflow.com/questions/76082746/how-to-transform-a-quickdraw-image-to-84-by-84-in-pytorch-using-the-learn2learn)