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Submission GuidelinesHello,
After used the new "Image Recognition Tool" a few days, I think you could improve it :
> by adding the dimensional constraints in front of each of the pre-trained models,
> by adding a true tool to divide the training data correctly (in order to have an equivalent number of images for each of the labels)
> at least, allow the tool to use black & white images (I wanted to test it on the MNIST, but the tool tells me that it necessarily needs RGB images) ?
Question : do you in the future allow the user to choose between CPU or GPU usage ?
In any case, thank you again for this new tool, it is certainly perfectible, but very simple to use, and I sincerely think that it will allow a greater number of people to understand the many use cases made possible thanks to image recognition.
Thank you again
Kévin VANCAPPEL (France ;-))
Thank you again.
Kévin VANCAPPEL
At the moment containers either expand and overlap other tools, or you have to leave space for them (defeating the original purpose of using them). Is there a way we can have the containers expansion shift the workflow so the others tools shift down / right to account for this expanision?
To get simple information from a workflow, such as the name, run start date/time and run end date/time is far more complex than it should be. Ideally the log, in separate line items distinctly labelled, would have the workflow path & name, the start date/time, and end date/time and potentially the run time to save having to do a calculation. Also having an overall module status would be of use, i.e. if there was an Error in the run the overall status is Error, if there was a warning the overall status is Warning otherwise Success.
Parsing out the workflow name and start date/time is challenge enough, but then trying to parse out the run time, convert that to a time and add it to the start date/time to get the end date/time makes retrieving basic monitoring information far more complex than it should be.
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