![]() ![]() Familiarity with Cumulocity IoT and its in-built apps.Prior experience with Python and understanding of the data science processes.An example model that is already trained and can be used to create a pipeline.Data used to train the model and evaluate performance.Test images for scoring once the pipeline is deployed.Pre-processing and post-processing Python scripts needed to create the inference pipeline.Make inferences using the model in production.ĭownload the following: WeldingDefectDetectionDemoProject.zip. ![]() Use the ONNX model along with the included pre-processing and post-processing scripts to build an inference pipeline, and deploy it on Cumulocity IoT Machine Learning Engine. ![]()
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