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?

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

CostlyOstrich36 Unfortunately that didn't helped 😞

ProudElephant77 , can you please add a code snippet of what you did?

` 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() `

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

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

CostlyOstrich36 WebApp: 1.9.1-312 • Server: 1.9.1-312 • API: 2.23

CostlyOstrich36 I do see the new "image" in the metric drop down, so something has changed - but there are no preview images there.

Can you share a screenshot of what you see?

CostlyOstrich36

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

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

CostlyOstrich36 The latest clearml package, installed these days - 1.9.0

The dataset view is also empty:

Please check what you get for events.debug_images in network section of developer tools (F12) when trying to view the preview in the dataset

Might need to refresh page after opening dev tools 🙂

@<1523701070390366208:profile|CostlyOstrich36> It looks like this:

And here the same in Chrome:

Can you please paste the response from events.debug_images ?

@<1523701070390366208:profile|CostlyOstrich36> Hi John, I have posted that in the screenshot above. Isn't that what you meant?

@<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":[]}}

Above is the response for the events.debug_images

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

@<1523701168822292480:profile|ExuberantBat52> , did you add debug samples in a similar fashion? What version of the clearml sdk are you using? Also what server?

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:

The above output is on the clearml community server

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.

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