CLIP from OpenAI for Text-to-Image and Image-to-Image searching and we’ll also do a comparative analysis of the Pytorch model, FP16 OpenVINO format, and INT8 OpenVINO format in terms of speedup.
Here are a few Key points converted in this article.
Text-to-Image and Image-to-Image Search using CLIP
- Using the HuggingFace model
- Using OpenVINO conversion to speed up by 70%
- Using Quantization with OpenVINO NNCF to speed up by 400%
These Results are on 13th Gen Intel(R) Core(TM) i5–13420H using OpenVINO=2023.2 and NNCF=2.7.0 version.