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feat(marking-detection): custom yolo model w/ 4 bands #383
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… XYZ Layer to the map
…rld_Imagery to the map
… params There was a problem sending layer "ESRI:World_Imagery". Expected layername in python: esri-world-imagery Before fix: esri-world_imagery
…Switcher Control now it's possible to use an EventListener to get notified when the baselayer is switched with: layerSwitcher.on("change:activeLayer", handleLayerSwitch) This will be used to update the hidden form field with the layer information. May also be used to update the location.href in the browser bar to create a bookmarkable URL with a layer state.
…yer information to the backend
…ayer form value to it
…based on zoom and view extent
… for Esri:World_Imagery
Avoid following error related to transforming Tensor object to numpy array during marking detection: TypeError: can't convert cuda:0 device type tensor to numpy. Use Tensor.cpu() to copy the tensor to host memory first.
…nt on qr code size
matthiasschaub
changed the title
Multibandsuppport
feat(marking-detection): custom yolo model w/ 4 bands
Mar 6, 2024
matthiasschaub
commented
Mar 6, 2024
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