We are running inference on pb models with these commands on one particular product we trained and it works fine: it detects, shows a green box around it, etc
options = {"pbLoad": "file.pb", "metaLoad": "file.meta", "threshold": $
tfnet2 = TFNet(options)
But we need to detect more than product, and we don´t want to have to merge .pb files to do that
We are running inference on pb models with these commands on one particular product we trained and it works fine: it detects, shows a green box around it, etc options = {"pbLoad": "file.pb", "metaLoad": "file.meta", "threshold": $ tfnet2 = TFNet(options)
But we need to detect more than product, and we don´t want to have to merge .pb files to do that
Any suggestion on how?