Metadata-Version: 2.1
Name: chitra
Version: 0.0.11
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
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
Requires-Dist: tensorflow (>=2.0)
Requires-Dist: matplotlib

# Chitra
> Library for creating data input pipeline in Tensorflow


## Install

`pip install chitra`

## How to use

<!-- Fill me in please! Don't forget code examples: -->
## Loading data for image classification

```python
import numpy as np
import tensorflow as tf
import chitra
from chitra.dataloader import Clf, show_batch
import matplotlib.pyplot as plt
```

```python
path = '/Users/aniket/Pictures/data/train'

clf_dl = Clf()
data = clf_dl.from_folder(path, target_shape=(224, 224))

clf_dl.show_batch(8, figsize=(8,8))
```

    CLASSES ENCODED: {'cat': 0, 'dog': 1}



![png](docs/images/output_5_1.png)


```python
for e in data.take(1):
    image = e[0].numpy().astype('uint8')
    label = e[1].numpy()
plt.imshow(image)
```




    <matplotlib.image.AxesImage at 0x7fee1000df10>




![png](docs/images/output_6_1.png)


```python
from chitra.visualization import draw_annotations
```

```python
labels = np.array([label])
bbox = np.array([[30, 50, 170, 190]])
label_to_name = lambda x: 'Cat' if x==0 else 'Dog'
```

```python
draw_annotations(image, ({'bboxes': bbox, 'labels':labels,}), label_to_name=label_to_name)
plt.imshow(image)
```




    <matplotlib.image.AxesImage at 0x7fee0fe37890>




![png](docs/images/output_9_1.png)



