How to detect solar panels using an Inference Overlay

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Revision as of 14:59, 16 October 2024 by Frank@tygron.nl (talk | contribs)
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Editor → Current Situation (Ribbon tab) → Overlays (Ribbon bar)
How to detect solar panels based on an Inference Overlay:
  1. First add a Satellite Overlay. This will be used as input for the Inference Overlay.
  2. Add an Inference Overlay
  3. With the Inference Overlay added and selected, click on the wizard button in the Overlay's detail panel
  4. Once the wizard is ready, click next
  5. In the Select Model step, click on the Select button to open the neural network selection panel.
  6. In the selection panel, select the Neural Network named solar_panel.onnx and click next to advance the wizard.
  7. In the Input Tensors step, verify that multiple input tensors are recognized and click next. These should be correctly configured.
  8. In the Input prequels step, select the Input Prequel 'A', and under Overlay, select the Satellite Overlay. Click next.
  9. In the Output Tensors step, verify that output tensors are present, click next.
  10. In the Settings step, verify that the Score Threshold is around 0.2. This will lower the threshold to accept identified solar panels.
  11. In the Settings step, verify that the Mask Threshold is around 0.90. This will raise the threshold to include pixels of identified solar panels.
  12. Verify that the Inference Mode is set to BBOX_DETECTION and click next.
  13. In the Overlays step, select all result overlay types and click finish.