image_embeddings

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batch mode and multithread

3

Hello, Thx for the package ? How to setup batch mode and multithread easily ? (inference on CPU). 2) Think one should be able load some small fine tuner head...

arita37

Bumps [ipython](https://github.com/ipython/ipython) from 7.16.1 to 7.16.3. Commits d43c7c7 release 7.16.3 5fa1e40 Merge pull request from GHSA-pq7m-3gw7-gq5x 8df8971 back to dev 9f477b7 release 7.16.2 138f266 bring back release helper from master...

dependabot[bot]

i want to know how to deal with a new input image , how we make embeddings and how to compare with our saved embeddings ?

Talhaz

module 'image_embeddings' has no attribute 'inference'

1

Hi How to solve this problem Regards Shafi

mshafieluru

Hi, In the API: image_embeddings.inference.run_inference(tfrecords_folder, output_folder, batch_size=1000), can we have a model parameter such that we can use the same API to get embeddings from any model we choose. The...

Chandrashish

ValueError: Expect x to be a non-empty array or dataset.

5

I am trying to create an embedding for some google images I downloaded. This is my structure:  When I execute this ```python image_embeddings.inference.write_tfrecord(image_folder="tmp/test_images", output_folder="tmp/test_tensors", num_shards=10) image_embeddings.inference.run_inference(tfrecords_folder="tmp/test_tensors", output_folder="tmp/test_output", batch_size=1000) [id_to_name2,...

emibarrod

Video datasets

1

Hello, I would like to get the embeddings for each frame of a video dataset. I'm using CV2 to get the frames, so I end up with frames of (720,...

Sebagam

In some folders I am getting this error OverflowError: cannot convert float infinity to integer

2

Hi @rom1504 First of all thanks for the great work that you've done, I am facing this error is some of the folders that I am getting running similarity search...

zubairahmed-ai

image extension .jpeg hardcoded

3

Hi You have hardcoded extension `.jpeg` which makes it harder to try other images ``` in 1 p=1 2 print(id_to_name[p]) ----> 3 image_embeddings.knn.display_picture(path_images, id_to_name[p]) 4 results = image_embeddings.knn.search(index, id_to_name, embeddings[p])...

zubairahmed-ai

try to do inference in ui with tensorflow.js and allow the user to provide their own image

4

rom1504