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OpenVINO model zoo models compatibility with Neural Compute Stick 2

naman
Beginner
557 Views

Can we use models like mask_rcnn_resnet50_atrous_coco, yolact-resnet50-fpn-pytorch and yolo-v4-tf from OpenVINO modelzoo to perform inference on Intel® NCS 2? If so what FPS can we get? Does Intel® NCS 2 support the ncappzoo apps only?

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3 Replies
naman
Beginner
555 Views

D

Wan_Intel
Moderator
532 Views

Hi Naman Mehta,

Thank you for reaching out to us.


You can use yolact-resnet50-fpn-pytorch and yolo-v4-tf models for inference using Intel® Neural Compute Stick 2.


I’ve tested these models with Intel® Neural Compute Stick 2 and I share here the FPS values which were obtained using Benchmark C++ Tool.


Model

Throughput

yolact-resnet50-fpn-pytorch

1.88

yolo-v4-tf

1.40


For mask_rcnn_resnet50_atrous_coco model, when I tested using the input shape arguments provided in model.yml, I observed the system runs out of memory. However, when I change the input shape to [1,3,224,224], I obtained 0.16 FPS. 


Performance benchmarks of selected models across different Intel hardware is available in Intel® Distribution of OpenVINO™ toolkit Benchmark Results.


Regards,

Wan


Wan_Intel
Moderator
508 Views

Hi Naman,


This thread will no longer be monitored since we have provided a solution. 

If you need any additional information from Intel, please submit a new question.


Regards,

Wan


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