Above is the response for the events.debug_images

CostlyOstrich36 The latest clearml package, installed these days - 1.9.0

The dataset view is also empty:

CostlyOstrich36

Can you please paste the response from events.debug_images ?

Can you share a screenshot of what you see?

22.04

CostlyOstrich36 Do you have any idea how I could debug that?

I have been using them for a while, they've always had autopreviews.

I am using the latest version clearml server and I am using version 1.9.1 for the sdk.

Here is the code that I am currently using:

if __name__ == "__main__":
    # create clearml data processing task
    dataset = Dataset.create(
        dataset_name="palmer_penguins",
        dataset_project="palmer penguins",
        dataset_tags=["raw"]
    )
    dataset_path = "data/raw/penguins.csv"
    # add the downloaded files to the current dataset
    dataset.add_files(path=dataset_path)
    # upload data to clearml server
    dataset.upload(verbose=True)
    # close the dataset
    dataset.finalize(verbose=True)

This is a simple dummy example that I use for testing deployments of clearml server

Here is the output that I would expect:

Also when in this view, open developer tools (F12) and see what calls you get back for debug samples

This is strange. Exactly same code works for me. What version of clearml are you using? What version is your server?

It isn't a bug, you have to add the previews manually through reporting. For example:

ds = Dataset.create(...) ds.add_files(...) ds.get_logger().report_media(...)

Thanks a lot, I will have a look at that!

CostlyOstrich36 I have used ds.get_logger().report_image() in a loop in order to upload all the images from the dataset as previews. Then I called flush() , which returned True . However, the images are still not shown. Any ideas - how could I debug that?

I am currently running the scripts on WSL ubuntu

My server is hosted on AWS Fargate

I don't think datasets don't have visualization out of the box, you need to add these previews manually. Only HyperDatasets feature from the Scale & Enterprise versions truely visualizes all the data.

According to your code snippet there isn't any visualization add on top of the dataset

How about when you view it in the datasets view? Also what version of clearml package do you have?

What if you add images to the dataset? Can you see them being previewed? @<1523701168822292480:profile|ExuberantBat52>

@<1523701070390366208:profile|CostlyOstrich36> I am facing the same issue:

{"meta":{"id":"90841d05dfb1431a8d9dfc6bfdb39f9e","trx":"90841d05dfb1431a8d9dfc6bfdb39f9e","endpoint":{"name":"events.debug_images","requested_version":"2.23","actual_version":"2.7"},"result_code":200,"result_subcode":0,"result_msg":"OK","error_stack":"","error_data":{}},"data":{"metrics":[]}}

` from clearml import Dataset

IMG_PATH = "/home/mfb/Temp/sample-ds/50-ok.jpg"

Create dataset and add sample image

ds = Dataset.create(dataset_name="Test", dataset_project="Dataset-Test")
ds.add_files(path=IMG_PATH)
ds.upload()

Add and report image

logger = ds.get_logger()
logger.report_image("image", "sample image", iteration=0, local_path=IMG_PATH)
logger.flush()

Finalize the dataset

ds.finalize() `

Yes, I am using a virtualenv that has pandas and clearml installed.

@<1523701168822292480:profile|ExuberantBat52> Do you have pandas installed on your machine?

ProudElephant77 , I think you might need to finalize the dataset for it to appear

So I added the snippet above to the code,
and now the preview for the first 10 rows shows up. However, the automatic preview is still not working.

Actually, datasets should have an automatic preview...

Hmm my bad, I wasn't aware of this 🙂

The thing is, even on the community server, not all the datasets have automatic previews. So for the same code/dataset, some of the runs have previews and some of them don't.

Looping in @<1523703436166565888:profile|DeterminedCrab71> & @<1523701435869433856:profile|SmugDolphin23> for visibility

This is how I usually add visualization

#Report data preview
ds.get_logger().report_table(title="Data Sample", series="First Ten Rows", table_plot=data1[:10])
ds.upload()
ds.finalize()