LabVIEW is a graphical development software commonly used in automated test and measurement systems, automation equipment, and intelligent manufacturing equipment industries. There is a Vision Development Module in LabVIEW , which not only contains traditional machine vision algorithms, but also has a TensorFlow model importer, which can import TensorFlow deep learning models to easily implement deep learning applications.
There are two steps to develop the TensorFlow deep learning program in LabVIEW :
- The first step is to use TensorFlow to train a deep learning model; this step, the NI vision development module does not have corresponding software tools, nor does it detail how to build a deep learning model training environment based on TensorFlow from scratch, train TensorFlow models and export the model importer * .Pb file required.
- The second step: deploy the deep learning model to NI hardware; in this step, the NI Vision Development Module has a model importer and sample programs, see the NI official website introduction.
- How to build TensorFlow deep learning model training environment from scratch?
- How to train your deep learning model from scratch?
- How to export the TensorFlow frozen graph model file (* .pb) required by the model importer of NI Vision Module?
"Deep learning image recognition technology" has a detailed introduction! !
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