sergiomsilva / alpr-unconstrained

License Plate Detection and Recognition in Unconstrained Scenarios

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gpu is slow

roysG opened this issue · comments

commented

the detect take 7sec for 1 image on gpu this is a lot of time. can we make it lower?
Maybe there is also option to converted to android app?

Also my card graphic info

nvidia-smiFri Mar 20 13:35:33 2020
+-----------------------------------------------------------------------------+
| NVIDIA-SMI 440.64.00 Driver Version: 440.64.00 CUDA Version: 10.2 |
|-------------------------------+----------------------+----------------------+
| GPU Name Persistence-M| Bus-Id Disp.A | Volatile Uncorr. ECC |
| Fan Temp Perf Pwr:Usage/Cap| Memory-Usage | GPU-Util Compute M. |
|===============================+======================+======================|
| 0 GeForce GTX 1070 Off | 00000000:01:00.0 On | N/A |
| 32% 28C P8 7W / 151W | 360MiB / 8116MiB | 0% Default |
+-------------------------------+----------------------+----------------------+

+-----------------------------------------------------------------------------+
| Processes: GPU Memory |
| GPU PID Type Process name Usage |
|=============================================================================|
| 0 1031 G /usr/lib/xorg/Xorg 203MiB |
| 0 1547 G compiz 153MiB |
+-----------------------------------------------------------------------------+

Hi, roysG! I encountered the same problem, did you solve it?

You can disable eager execution on Keras following this https://stackoverflow.com/questions/53429896/how-do-i-disable-tensorflows-eager-execution

This will speed up the inference time.

Thanks