Metadata-Version: 2.1
Name: kerascv
Version: 0.0.2
Summary: Image classification models for Keras
Home-page: https://github.com/osmr/imgclsmob
Author: osmr
Author-email: osemery@gmail.com
License: MIT
Description: # Large-scale image classification networks
        
        Several large-scale image classification models on Keras (with MXNet backend), trained on the ImageNet-1k dataset.
        
        ## Installation
        
        To install, use:
        ```
        pip install kerascv mxnet>=1.2.1
        ```
        To enable different hardware supports such as GPUs, check out [MXNet variants](https://pypi.org/project/mxnet/).
        For example, you can install with CUDA-9.2 supported MXNet:
        ```
        pip install kerascv mxnet-cu92>=1.2.1
        ```
        After installation change the value of the field `image_data_format` to `channels_first` in the file `~/.keras/keras.json`. 
        
        ## Usage
        
        Example of using the pretrained ResNet-18 model:
        ```
        from kerascv.model_provider import get_model as kecv_get_model
        net = kecv_get_model("resnet18", pretrained=True)
        ```
        
Keywords: machine-learning deep-learning neuralnetwork image-classification imagenet keras keras-mxnet
Platform: UNKNOWN
Classifier: Development Status :: 3 - Alpha
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python
Classifier: Topic :: Scientific/Engineering :: Image Recognition
Description-Content-Type: text/markdown
