Concept

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Exemplar dict is not serializable

3

Hi, thanks for your awesome libraries. Just a short question: In this line: https://github.com/MaartenGr/Concept/blob/d270607d6ea4d789a42d54880ab4a0c977bb69ce/concept/_model.py#L304 you're casting the numpy int64s to integers, presumably so they can be used as indexes? In...

trifle

ValueError: operands could not be broadcast together with shapes (4,224,224) (3,)

9

Running a Concept example on OS S Monterey 12.3.1 ...Transformers/Image_utils #143: return (image - mean) / std image is (4,224,224) mean is (3,) std is (3,) ``` Python 3.8.13 %...

dbl001

OSError: [Errno 24] Too many open files: 'photos/icnZ2R8PcDs.jpg'

3

What do recommend setting max_open_files to? ``` images = [Image.open("photos/"+filepath) for filepath in tqdm(img_names[:5000])] image_names = img_names[:5000] image_embeddings = img_embeddings[:5000] 54%|███████████████████▍ | 2693/5000 [00:00 1 images = [Image.open("photos/"+filepath) for filepath...

dbl001

Index Error: index out of bounds error for visualize concepts

7

I ran the sample code for a custom data set and got the following error when I tried to visualize the concepts. Any help here would be appreciated. 

vvkishere

Questions

4

Hello, Thank you for sharing you great work. I'd like to have a better understanding of the "fit_transform" function. > How do you intend to use the parameter "image_names" ?...

erwanlenagard

TypeError: __init__() got an unexpected keyword argument 'cachedir'

1

I was reproducing the same Colab notebook in the ReadME without any change: https://colab.research.google.com/drive/1XHwQPT2itZXu1HayvGoj60-xAXxg9mqe?usp=sharing#scrollTo=VcgGxrLH-AU9 While importing the library `from concept import ConceptModel`, this error appears: TypeError: __init__() got an unexpected...

orkhan-amrullayev

Multilingual support

3

Code for English: ``` from concept import ConceptModel concept_model = ConceptModel() concepts = concept_model.fit_transform(images, docs) # Works correctly! ``` Guide suggests "Use Concept(embedding_model="clip-ViT-B-32-multilingual-v1") to select a model that supports 50+...

scr255

AttributeError: 'CountVectorizer' object has no attribute 'get_feature_names'

7

Trying to run this code on Google Colab and seeing this error now. Simply just trying to use the demo provided in this repo, but now it's throwing the following...

shelbywhite

AttributeError: 'ConceptModel' object has no attribute 'image_cluster_df'

3

AttributeError: 'ConceptModel' object has no attribute 'image_cluster_df' Reinstalled sklearn to pre 1.0 from this thread: https://github.com/MaartenGr/Concept/issues/19 still getting the error.

aysedeniz09

How can we get probabilities for all clusters in transform function?

3

Currently we only get the predicted class through `concept_model.transform()` Can we get the predicted probabilities for each cluster or the top n clusters?

suprateek-19