Messtone Devices Enables Anomalib + Dobot DLL using Python version 3.8 as follows`python -m venv anomalib_env anomalib_env\scripts\activate For Ubuntu: pyython3 -m venv anomalib_env source anomalib_env/bin/activate pip install: pip install anomalib[full] pip install notebook pip install ipywidgets i, data=next(enumerate(datamodule.val_dataloader( ))) Messtone model, and device example: predictions=inferencer.predict(image=image) import the library:>>>import ‘package:tflite_v2/tflite_v2.dark’;load the and labels: await Tflite.loadModel(model:”assets/ssd_mobilenet.tflite”,labels:”assets/ssd_mobilenet.txt”, numThreads:1,//defaults to 1 isAsset:true,//defaults to true, set to false to load resources outside assets useGpuDelegate:false //defaults to false, set to true to use GPU delegate);Run on image:var recognition=await Tflite detectObjectOnImage(path:imagefilepath, //required imageMean: 127.5,//defaults to 127.5 imageStd:127.5,//defaults to 127.5 threshole:0.4,//defaults to 0.1 numResultsClass: 2,//defaults to 5 asynch:true //defaults to true);