Comments (1)
you can use ffmpeg to generate images and then this repo to index them
from image_embeddings.
Related Issues (20)
- provide end to end command with CLI
- put notebook on colab for easy demo HOT 1
- Provide notebook doing inference before knn for "your own image" effect
- Add test running pipeline end to end on tf_flowers
- fix fashion mnist and mnist
- Publish ui package and make it possible to provide embeddings and images
- try to do inference in ui with tensorflow.js and allow the user to provide their own image HOT 4
- image extension .jpeg hardcoded HOT 3
- In some folders I am getting this error OverflowError: cannot convert float infinity to integer HOT 2
- Indexing only bright pixels in an image? HOT 1
- Invalid argument: input depth must be evenly divisible by filter depth: 1 vs 3? HOT 1
- ValueError: Expect x to be a non-empty array or dataset. HOT 5
- Flexibility in choosing models for image embeddings
- module 'image_embeddings' has no attribute 'inference' HOT 1
- How to generate embeddings of an input image ?
- batch mode and multithread HOT 3
- Requirement faiss-cpu-noavx2 makes the package installation fail on Colab
- Add option in CLI to provide image to search
- Make it possible to configure how many examples are used in downloader HOT 1
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from image_embeddings.