Joaquin Anton

Hi @kaleidoscopical. That is a very good request! At this moment we don't have a schedule to provide an implementation for those augmentations. Could you please provide a list of...

@bonlime > But I would suggest adding Shear augmentation. It is possible to implement it now using Affine transform but it's a messy way. We do have https://docs.nvidia.com/deeplearning/dali/user-guide/docs/operations/nvidia.dali.fn.transforms.shear.html, which produces...

@twmht We are currently working on some groundwork that will enable auto-augment like capabilities in the mid-term. However we are not there yet.

Hi @ronzhou18. To better answer this question, I would need a minimal reproduction example. If you could attach a small code snippet and perhaps an "image" file that would cause...

I can imagine that the pipeline is not properly deleted for some reason. When you share the code we'll be able to check it and give a solution. Thanks

I have tried the code you shared and I found that the host memory and the GPU memory remain stable after restarting the pipeline many times. Looking at your snippet,...

I've tried your snippet, and I can see the memory utilization stabilizing. I measured with `top` and with ``` import psutil print('RAM memory % used:', psutil.virtual_memory()[2]) ``` On every `pipe.run()`.

I can confirm that the memory consumption is higher when we use the corrupted images. We will investigate why

@ronzhou18 @KrisChou I can confirm a memory leak with the dataset provided. I will publish a fix soon.

Hi @jasonxzhou. `DALIImageType.ANY_DATA` represents images with a custom layout of channels (not RGB, YCbCr, etc). For example, it is used when loading TIFFs with more than 3 channels. Unfortunately, at...