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chongzhou96 / EdgeSAM

Official PyTorch implementation of "EdgeSAM: Prompt-In-the-Loop Distillation for On-Device Deployment of SAM"
https://mmlab-ntu.com/project/edgesam/
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Request for NCNN Integration in EdgeSAM Project #3

Closed umitkacar closed 10 months ago

umitkacar commented 10 months ago

Hello EdgeSAM Team,

I hope this message finds you well. I am reaching out to request the integration of NCNN into the EdgeSAM project. NCNN, known for its high performance in neural network inference on mobile devices, seems like a perfect fit for EdgeSAM's objectives in edge computing scenarios.

The inclusion of NCNN would provide several benefits, including:

  1. Enhanced Performance: Leveraging NCNN's optimized routines could improve the efficiency and speed of EdgeSAM's computations, especially on devices with limited resources.

  2. Broader Compatibility: With NCNN's support for multiple platforms, EdgeSAM could extend its usability across a wider range of mobile and embedded devices.

  3. Community Engagement: Integrating popular and widely-used frameworks like NCNN can attract more contributors and users to the EdgeSAM project, fostering a larger community and encouraging collaborative development.

I believe that the synergy between EdgeSAM and NCNN could lead to significant advancements in edge computing applications. I am looking forward to your thoughts on this suggestion and hope to see a collaboration that benefits both projects and their respective communities.

Thank you for considering my request.

Best regards, Umit

chongzhou96 commented 10 months ago

Hi Umit,

Thank you for the suggestion. Are you referring to this repo? If so, I need to get familiar with it first. In the meantime, any PR is welcome.