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This notebook shows how to do Portrait segmentation and Background replacement with OpenVINO Runtime and PaddlePaddle model.
Workflow
Models
portrait_pp_humansegv2_lite
This model is supported by OpenVINO.
The result of benchmark:
...
[Step 11/11] Dumping statistics report
[ INFO ] Count: 55304 iterations
[ INFO ] Duration: 60008.95 ms
[ INFO ] Latency:
[ INFO ] Median: 4.32 ms
[ INFO ] Average: 4.29 ms
[ INFO ] Min: 2.97 ms
[ INFO ] Max: 35.24 ms
[ INFO ] Throughput: 921.60 FPS
Sorry for late reply and thanks for your submission. From my perspective, I saw a current notebook and your RFC are a little duplicated, could help to explain more on the difference between them.
Meanwhile we still would like to continue collecting more RFC by the deadline of submission, and then select 2 best one from them.
Yes, I agree with @OpenVINO-dev-contest. New notebooks should be different in the specific use case scenario, DL frameworks, or showing significant improvement over current notebooks, etc. Thanks~
RFC of PaddlePaddle Hackathon 4 Task 205
Solution Name
Portrait segmentation and Background replacement
Description
This notebook shows how to do Portrait segmentation and Background replacement with OpenVINO Runtime and PaddlePaddle model.
Workflow
Models
This model is supported by OpenVINO.
The result of benchmark:
Results Visualizing
Project Timeline
3/20 Submitting RFC
3/31 Creating PR
4/15 Merging PR
My Experience in ML and DL
I'm a PPDE, and I completed three OpenVINO tasks in the first PaddlePaddle Hackathon:
Task 88 openvinotoolkit/openvino#7615
Task 91 openvinotoolkit/openvino#7612
Task 92 openvinotoolkit/openvino#7611
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