ECP5 Face Identification Quick Start Guide
Application Note
© 2019 Lattice Semiconductor Corp. All Lattice trademarks, registered trademarks, patents, and disclaimers are as listed at
All other brand or product names are trademarks or registered trademarks of their respective holders. The specifications and information herein are subject to change without notice.
FPGA-AN-02010-1.0
11
2.4.
Training the Machine with TensorFlow
To train the machine with TensorFlow:
Run the command in the code root directory:
$ python face-identification.py --data_dir=<path of data directory>
Figure 2.9. Machine Training Output File
Check the training status on TensorBoard by running the command below.
$ tensorboard –logdir=<path of log directory>
Figure 2.10. TensorBoard – Launch
2.5.
Generating the Frozen (*pb) File
Use the command below to generate the frozen protobuf(.pb) file:
$ python face-identification.py --log_dir=<path of log(checkpoint) directory> --freeze_model
Figure 2.11. *pb File Generation from Checkpoint
