Object detection with MCIMX8QM

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Object detection with MCIMX8QM

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nagashima
Contributor III

Dear All,

MCIMX8QM-CPU: I am trying to detect motion using i.MX 8QuadMax, but the recognition is very slow.
The following URL is for reference.
https://www.nxp.com/docs/en/nxp/user-guides/UM11226.pdf

It takes about 40 seconds to recognize dogs, bicycles and cars in dog416.png in the PDF.
./example_dnn_object_detection -width=1024 -height=1024 -scale=0.00392 -rgb -zoo=models.yml yolo

Since the image size is 416x416 dots, set width and height to 416,
./example_dnn_object_detection -width=416 -height=416 -scale=0.00392 -rgb -zoo=models.yml yolo
And it was accelerated up to about 10 seconds.

Also, when it comes to recognition with camera images, the image is updated for about 4 minutes until the first display, and then only every few minutes thereafter.

Is this the limit for i.MX8QM?
Also, couldn't we use another method to increase the recognition frequency to around 5fps?

Best Regards

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Yuri
NXP Employee
NXP Employee

nagashima 

Hello,

   We do not have i.MX8QM performance estimations for eIQ applications.

In any case hardware acceleration  improves  situation.

Customers can refer to Coral Dev Board TPU | NXP 

Also i.MX8MP is more suitable for machine learning and vision.

i.MX 8M Plus Applications Processor | Machine Learning | Vision | ISP | multimedia | Industrial IoT ... 

Regards,

Yuri.

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