Metadata-Version: 2.1
Name: tvmodels
Version: 0.0.3
Summary: Implementation of vision models with their pretrained weights
Home-page: https://github.com/rohitgr7/tvmodels
Author: Rohit Gupta
Author-email: rohitgr1998@gmail.com
License: UNKNOWN
Description: # tvmodels
        The tvmodels library contains implementation of pretrained vision models in pytorch trained on ImageNet. Some of these models are not available in [torchvision](https://pytorch.org/docs/stable/torchvision/index.html), so you can load them for here.
        
        ## Installation
        Run the following to install:
        ```python
        pip install tvmodels
        ```
        
        ## Usage
        ```python
        from tvmodels.models import se_resnet50, resnet18
        
        # Load the models
        se_res_model = se_resnet50(pretrained=True)
        res_model = resnet18(pretrained=True)
        ```
        
        ## TODO
        - [x] SEResNet50
        - [x] SEResNet101
        - [x] SEResNet152
        - [x] SEResNeXt50_32_4
        - [x] SEResNeXt101_32_4
        - [x] SENet154
        - [x] ResNext50_32_4
        - [x] ResNext101_32_4
        - [x] ResNext101_32_8
        - [x] ResNext101_64_4
        - [ ] ResNext152
        - [x] ResNet18
        - [x] ResNet34
        - [x] ResNet50
        - [x] ResNet101
        - [x] ResNet152
        
Platform: UNKNOWN
Classifier: Development Status :: 5 - Production/Stable
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: MIT License
Classifier: Natural Language :: English
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Operating System :: OS Independent
Description-Content-Type: text/markdown
