Visualizer Function
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Tensorleap enables visualizations of data within the model graph by connecting a block to a node's output tensor. This allows to visualize the model's input, prediction, ground truth, or any inner tensor.
By default, these naive Visualizers are provided (in the UI):
Image
Graph
Numeric
HorizontalBar
Text
ImageMask
TextMask
These naive visualizers shows the data as-is, but in many cases, there is a need to write our own Visualizer Function to make sense of the data. For example:
Converting tokenized data to text words
Custom post-processing
Draw landmarks on images
Apply transforms
Example a visualizer function:
Full examples can be found at the Dataset Integration section of the following guides:
These functions should return one of the following types defined in .
The pages contain additional, visualizer specific, examples. Moreover, full script usage can be found at .