Metadata-Version: 2.1
Name: tensorflowcv
Version: 0.0.2
Summary: Image classification models for TensorFlow
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 TensorFlow, trained on the ImageNet-1k dataset.
        
        ## Installation
        
        To install, use:
        ```
        pip install tensorflowcv tensorflow-gpu>=1.11.0
        ```
        To enable/disable different hardware supports, check out TensorFlow installation [instructions](https://www.tensorflow.org/).
        
        Note that the models use NCHW data format. The current version of TensorFlow cannot work with them on CPU.
        
        ## Usage
        
        Example of using the pretrained ResNet-18 model:
        ```
        from tensorflowcv.model_provider import get_model as tfcv_get_model
        from tensorflowcv.model_provider import load_model as tfcv_load_model
        import tensorflow as tf
        net_lambda, net_file_path = tfcv_get_model("resnet18", pretrained=True)
        x = tf.placeholder(dtype=tf.float32, shape=(None, 3, 224, 224), name='xx')
        y_net = net_lambda(x)
        with tf.Session() as sess:
            tfcv_load_model(sess=sess, file_path=net_file_path)
        ```
        
Keywords: machine-learning deep-learning neuralnetwork image-classification imagenet tensorflow
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
