Metadata-Version: 2.1
Name: chitra
Version: 0.0.3
Summary: Library for creating data input pipeline in pure Tensorflow 2.x
Home-page: https://github.com/aniketmaurya/chitra
Author: Aniket Maurya
Author-email: theaniketmaurya@gmail.com
License: Apache Software License 2.0
Description: # Chitra
        > Library for creating data input pipeline in pure Tensorflow 2.x
        
        
        .
        <!-- This file will become your README and also the index of your documentation. -->
        
        ## Install
        
        `pip install chitra`
        
        ## How to use
        
        <!-- Fill me in please! Don't forget code examples: -->
        ## Loading data for image classification
        
        ```python
        import tensorflow as tf
        import chitra
        from chitra.dataloader import Clf, show_batch
        
        path = '/Users/aniketmaurya/Pictures/cats'
        
        clf_dl = Clf()
        data = clf_dl.from_folder(path)
        
        print('class names:', clf_dl.CLASS_NAMES)
        
        show_batch(data, 6, (6, 6))
        ```
        
            class names: ('Whitecat', 'Blackcat')
        
        
        
        ![png](docs/images/output_5_1.png)
        
        
        ```python
        model = tf.keras.applications.ResNet50(include_top=False,
                                                      weights='imagenet',
                                                      input_shape=(160, 160, 3),
                                                      classes=2)
        ```
        
        ```python
        model.fit(data)
        ```
        
        
            ---------------------------------------------------------------------------
        
            RuntimeError                              Traceback (most recent call last)
        
            <ipython-input-7-bcfd88bde046> in <module>
            ----> 1 model.fit(data)
            
        
            ~/miniconda3/envs/tf/lib/python3.7/site-packages/tensorflow_core/python/keras/engine/training.py in fit(self, x, y, batch_size, epochs, verbose, callbacks, validation_split, validation_data, shuffle, class_weight, sample_weight, initial_epoch, steps_per_epoch, validation_steps, validation_freq, max_queue_size, workers, use_multiprocessing, **kwargs)
                703     if kwargs:
                704       raise TypeError('Unrecognized keyword arguments: ' + str(kwargs))
            --> 705     self._assert_compile_was_called()
                706     self._check_call_args('fit')
                707 
        
        
            ~/miniconda3/envs/tf/lib/python3.7/site-packages/tensorflow_core/python/keras/engine/training.py in _assert_compile_was_called(self)
               2872     # (i.e. whether the model is built and its inputs/outputs are set).
               2873     if not self.optimizer:
            -> 2874       raise RuntimeError('You must compile your model before '
               2875                          'training/testing. '
               2876                          'Use `model.compile(optimizer, loss)`.')
        
        
            RuntimeError: You must compile your model before training/testing. Use `model.compile(optimizer, loss)`.
        
        
        ```python
        # for e in data.batch(4): print(e)
        ```
        
        ```python
        img = chitra.image.read_image('/Users/aniketmaurya/Pictures/cats/whitecat/wcat1.jpg')
        img.shape
        ```
        
        
        
        
            TensorShape([683, 1024, 3])
        
        
        
        ```python
        chitra.image.resize_image(img, (160, 160)).shape
        ```
        
        
        
        
            TensorShape([160, 160, 3])
        
        
        
Keywords: Tensorflow,Input Pipeline,Deep Learning,Image processing
Platform: UNKNOWN
Classifier: Development Status :: 2 - Pre-Alpha
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: Apache Software License
Classifier: Natural Language :: English
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Requires-Python: >=3.6
Description-Content-Type: text/markdown
