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Hi Everyone!
I'm looking to implement a SIFT detection program on a Raspberry Pi 4. I was wondering if there is a possibility to offload computation to NCS2 or optimize computations with OpenVINO library. Any suggestions are welcomed.
Thank you.
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Hi Nadeem,
The NCS2 executes neural network implementations. Most if not all the implementation of Scale Invariant Feature Transform (SIFT) implementation I searched is implemented as a normal library. Therefore, you need to translate or implement the SIFT program using a neural network template or framework such as Caffe, Tensorflow or Pytorch.
We couldn't say it is practical to offload a SIFT implementation workload to the NCS2.
I would recommend just running it using OpenCV on the CPU.
Regards,
Rizal
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Hi Nadeem,
The NCS2 executes neural network implementations. Most if not all the implementation of Scale Invariant Feature Transform (SIFT) implementation I searched is implemented as a normal library. Therefore, you need to translate or implement the SIFT program using a neural network template or framework such as Caffe, Tensorflow or Pytorch.
We couldn't say it is practical to offload a SIFT implementation workload to the NCS2.
I would recommend just running it using OpenCV on the CPU.
Regards,
Rizal
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Thank you Rizal for your reply!
OpenCV that comes with OpenVINO does not have OpenCV Contrib modules such as xfeatures2d which includes SIFT. I'm trying to implement a project which requires SIFT even when OpenVINO environment is initialized.
I tried to implement a suggestion from a thread in this forum, but that does not seem to solve my issue.
Do you have any inputs that would help me implement this project?
Best,
Nadeem
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