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  1. Lapland-UAS-Tequ/tequ-api-client Lapland-UAS-Tequ/tequ-api-client Public

    Subflows for Node-RED to process images and send to Tequ-API.

    1

  2. Lapland-UAS-Tequ/tequ-tf1-ca-training-pipeline Lapland-UAS-Tequ/tequ-tf1-ca-training-pipeline Public

    Pipeline to train object detection model from dataset annotated with Cloud Annotations tool. Resulting model format is Tensorflow1 tfjs_graph_model.

    Python

  3. Lapland-UAS-Tequ/tequ-tf2-ca-training-pipeline Lapland-UAS-Tequ/tequ-tf2-ca-training-pipeline Public

    Pipeline to train object detection model from dataset annotated with Cloud Annotations tool. Resulting model format is Tensorflow 2 SavedModel.

    Python 1

  4. Lapland-UAS-Tequ/win10-nodered-tensorflow Lapland-UAS-Tequ/win10-nodered-tensorflow Public

    Install & configure Tensorflow to Windows machine to be used for object detection in Node-RED.