FPS

[jordanlai]

Hi I have a question. In the test video: python openvino_tiny-yolov3_test.py -d MYRIAD
--> get FPS=13 python openvino_tiny-yolov3_test.py -d CPU --> get FPS=35 which side is out the question? Thanks!

[PINTO0309]

python openvino_tiny-yolov3_test.py -d MYRIAD --> get FPS=13

Correct result.

python openvino_tiny-yolov3_test.py -d CPU --> get FPS=35

Correct result.

OpenVINO is fully optimized for Intel CPUs with Intel TBB and Intel MKL-DNN. You'll see that using the GPU with the -d GPU option results in a percentage of slower performance than CPU performance. The more logical cores you have on your CPU, the more performance will increase.

[jordanlai]

@PINTO0309 Thanks

[jordanlai]

Another question is as follows autumn-openvino@autumn:~/inference_engine_samples_build/intel64/Release$ ./object_detection_demo_yolov3_async -i /home/autumn-openvino/OpenVINO-YoloV3-master_0309/data/input/2.mp4 -m /home/autumn-openvino/桌面/openvino_out/yolov3-tiny_416.xml -d MYRIAD InferenceEngine: API version ............ 1.6 Build .................. custom_releases/2019/R1_ebce9728578ef3131f2f282b3fbc3232109c598e [ INFO ] Parsing input parameters [ INFO ] Reading input [ INFO ] Loading plugin

API version ............ 1.6
Build .................. 23224
Description ....... myriadPlugin

[ INFO ] Loading network files [ INFO ] Batch size is forced to 1. [ INFO ] Checking that the inputs are as the demo expects [ INFO ] Checking that the outputs are as the demo expects [ ERROR ] This demo only accepts networks with three layers

I train model yolov3-tiny size=416

[PINTO0309]

https://github.com/PINTO0309/OpenVINO-YoloV3/tree/b5caa1c2117749b84719c0cd9750c10c452ef471/cpp#recompile Please read my main.cpp. The Intel sample program and my program are different. https://github.com/PINTO0309/OpenVINO-YoloV3/blob/b5caa1c2117749b84719c0cd9750c10c452ef471/cpp/main.cpp#L308-L310