Recognizer Types

Object Class Recognition supports three different types of recognizer. All three use neural networks but have different characteristics.

• The default recognizer is the Generation1 recognizer. This was the sole type of recognizer in Media Server versions 12.3 and earlier. This type of recognizer is the fastest to train but the other recognizers provide equal or better accuracy and are much faster at run-time.
• Generation2 recognizers offer the best accuracy, but take the longest to train. The training time is impractical on a CPU, so Micro Focus recommends that you train the recognizer on a machine with a supported GPU. You can use a trained Generation2 recognizer with or without a GPU but Micro Focus recommends using a GPU for best performance. If you run recognition on a GPU, this type of recognizer is much faster than the Generation1 recognizer, which allows you to set much shorter sample intervals.
• Generation3 recognizers are the fastest at run-time, but accuracy is slightly lower than the Generation2 recognizer.