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@jmagoon jmagoon released this 21 Apr 18:04
· 9 commits to initial since this release
1.3.0
3f8b396
  • When ONNX models are loaded, an inference pass with sample data is run by default. That means all tensors / feature maps / weights / biases should be viewable immediately after input load. Please let us know if there are models that don't succeed at this initial pass so we can fix them!

Screen Shot 2021-04-21 at 11 55 29 AM

(PRO) User input nodes are now attached to the model architecture diagram. When using Zetane Viewer Pro ($15/month) you can load custom inputs and send them through the model. Currently supported formats are .npy, .npz, .pb, and the majority of image formats (jpg, png, tiff, hdr, pic).
Screen Shot 2021-04-21 at 11 53 16 AM
Screen Shot 2021-04-21 at 12 10 19 PM
Screen Shot 2021-04-21 at 11 54 01 AM

(PRO) When user inputs are misshapen, the engine will display an error about the model's shape expectation. Note that this feature is also usable by free users without the error popup, the input node will load the user input and show dimensions before attempting to run inference with the model.
Screen Shot 2021-04-21 at 11 59 54 AM
Screen Shot 2021-04-21 at 12 00 10 PM

(PRO) Any errors during model inference will also appear in the UI. An example is the shape error above. Individual graph operations may fail at any point during the inference pass-- the engine will attempt to populate the graph outputs up until the point of the error, a stack trace of the model run.

As always, we welcome feedback, bug reports, and any suggestions you might have.

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