I made a Visual Anomaly project Visual Anomaly - Dashboard - Edge Impulse with a deploy to TDA4VM and everything worked perfectly.
Now I want to deploy an OpenMV Cam RT1062 Library, but:
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- The library zip includes an Image Classification Python script ei_image_classification.py
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- Label file has one label: “no anomaly”
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- The TFLite model returns outputs between 0 and 1
{“x”:160, “y”:60, “w”:20, “h”:20, “output”:0.8000001}
{“x”:180, “y”:100, “w”:40, “h”:40, “output”:0.8980392}
{“x”:120, “y”:180, “w”:40, “h”:40, “output”:0.9411765}
{“x”:0, “y”:80, “w”:20, “h”:20, “output”:0.8901961}
while the deploy to TDA4VM returns, as expected, the anomaly scores matrix:
[{“height”:19,“label”:“anomaly”,“value”:4.347522258758545,“width”:19,“x”:0,“y”:0},{“height”:19,“label”:“anomaly”,“value”:3.812622547149658,“width”:19,“x”:19,“y”:0},{“height”:19,“label”:“anomaly”,“value”:3.6791884899139404,“width”:19,“x”:38,“y”:0},{“height”:19,“label”:“anomaly”,“value”:3.572544574737549,“width”:19,“x”:57,“y”:0}, etc
Is there some way to deploy Visual Anomaly for OpenMV?
Thanks again
