classification_models
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qubvel
Classification models trained on ImageNet. Keras.
-- for keras from classification_models.keras import Classifiers --передаю как np.array ...images ResNet18, preprocess_input = Classifiers.get('resnet18') X = preprocess_input(images) --prepare your data --Split the loaded dataset into train, test sets X_train,...
## About ResNeXt-50 accuracy is 0% instead of 77.36%. Are the pre-trained weights [here](https://github.com/qubvel/classification_models/blob/a0f006e05485a34ccf871c421279864b0ccd220b/classification_models/weights.py#L193) updated? ## Steps to reproduce 1. Install requirements: ``` pip install tensorflow-gpu==2.8.0 pip install git+https://github.com/qubvel/classification_models.git ```...
```from classification_models import Classifiers ResNet18, preprocess_input = Classifiers.get('resnet18') ``` This funcition which name "preprocess_input" doing nothing, What pre-processing did you used to ? I want use this deep feature to...
After following the steps given in your google colab, I am getting mentioned error
I am wondering how to obtain a 512-dimensional vector for an image. I am interested in ResNet18 with no top layer. As for now, I am getting a list of...
any idea how i can get over this error in colab? i am trying: ``` !pip install git+https://github.com/qubvel/classification_models.git from classification_models.keras import Classifiers ``` same error happens with ``` !pip install...
When I try to import classification_models.keras for using ResNet18, I am getting an ImportError as: from classification_models.keras import Classifiers ImportError: No module named classification_models.keras I am using Python3.7, Keras 2.2.4,...
I'm trying to use ResNet18's weights in Google Colab, but the imports never match, every time it complains about a different module. I've been trying all version combinations of Keras,...
Do you not update the keras version? I see that torch is updated very quickly