Metadata-Version: 2.1
Name: pytorchcv
Version: 0.0.21
Summary: Image classification models for PyTorch
Home-page: https://github.com/osmr/imgclsmob
Author: Oleg Sémery
Author-email: osemery@gmail.com
License: MIT
Description: # Large-scale image classification networks
        
        Collection of large-scale image classification models on PyTorch, pretrained on the ImageNet-1k dataset.
        
        ## Installation
        
        To install, use:
        ```
        pip install pytorchcv torch>=0.4.1
        ```
        To enable/disable different hardware supports such as GPUs, check out PyTorch installation [instructions](https://pytorch.org/).
        
        ## Usage
        
        Example of using the pretrained ResNet-18 model:
        ```
        from pytorchcv.model_provider import get_model as ptcv_get_model
        net = ptcv_get_model("resnet18", pretrained=True)
        ```
        
Keywords: machine-learning deep-learning neuralnetwork image-classification imagenet pytorch vgg resnet pyramidnet diracnet densenet condensenet wrn drn dpn darknet squeezenet shufflenet menet mobilenet igcv3 mnasnet darts xception inception polynet nasnet pnasnet
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
