ECP5 Face Identification Quick Start Guide
Application Note
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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:
$
py
th
on
fa
ce
-id
ent
ifi
cat
ion
.py
--d
ata
_d
ir=
<p
at
h
of
da
ta
dir
ect
ory
>
Figure 2.9. Machine Training Output File
Check the training status on TensorBoard by running the command below.
$
te
ns
orb
oa
rd
–l
ogd
ir=
<pa
th
of
log
di
rec
tor
y>
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
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