Metadata-Version: 2.1
Name: simple-tensor
Version: 0.4.24
Summary: a simple package for handling tensorflow tensor
Home-page: UNKNOWN
Author: fatchur_rahman
Author-email: fatchur.rahman1@gmail.com
License: UNKNOWN
Description: # README #
        
        ### NEWS
        | Date       |                                                         News                                                                     |     Version       |
        | ---------- | -------------------------------------------------------------------------------------------------------------------------------- | ----------------- |       
        |March 2019    | simple_tensor is available on pypi (pip3 install simple-tensor)                                                                |     >=v0.4.0      |
        |March 2019    | Add Inceptionv4 and Densenet for transfer-learning package                                                                     |      v0.4.3       |
        |29th March 2019    | Simple tensor for Tensorflow 1.13.1 is available on pypi                                                                  |      v0.4.3       |
        |              | **n**                                                                               |                   |
        |April 2019    | yolov3 (preview version) |      v0.4.18       |
        |April 2019    | Unet-segmentation (preview version) |      v0.4.18      |
        
        
        
        ### Tensorflow Compatibility
        | Tensorflow version      |        Simple-Tensor Version      |   
        | ----------------------- | --------------------------------- | 
        | 1.4.1 - 1.12            |      >=v0.4.0                     |
        | 1.3.1                   |      >=v0.4.3                     |
        
        
        
        ### ABOUT PROJECT
        This is a simplification of tensorflow operations and related projects
        
        ### DEPENDENCIES
        1. Tensorflow (1.4.1 - 1.13)
        
        For installing tensorflow, with GPU:
        ```python
        # python3 
        pip3 install tensorflow-gpu
        # python2
        pip2 install tensorflow-gpu
        ```
        Without GPU:
        ```python
        # python3 
        pip3 install tensorflow
        # python2
        pip2 install tensorflow
        ```
        
        ### HOW TO USE
        #### :shipit: Installing The Package
        ```python
        python setup.py install
        ```
        or
        
        ```python
        pip3 install simple-tensor
        ```
        
        #### :shipit: Import The Package
        - Tensor Operations
        ```python
        import tensorflow as tf
        from simple_tensor.tensor_operations import *
        ```
        &nbsp; For more detail documentations about tensor operations, visit [this page](https://github.com/fatchur/Simple-Tensor/tree/master/simple_tensor)
        
        - Convert Keras Model to Tensorflow Serving
        ```python
        import tensorflow as tf
        from simple_tensor.convert import *
        ```
        
        - Transfer Learning Package
        ```python
        import tensorflow as tf
        from simple_tensor.transfer_learning.inception_utils import *
        from simple_tensor.transfer_learning.inception_v4 import *
        ```
        &nbsp; For more detail documentations about transfer learning package, visit [this page](https://github.com/fatchur/Simple-Tensor/tree/master/simple_tensor/transfer_learning)  
        
        
        - Object Detector Package
        ```python
        import tensorflow as tf
        from simple_tensor.object_detector.detector_utils import *
        from simple_tensor.object_detector.yolo_v4 import *
        ```
        &nbsp; For more detail documentations about object detector package (yolov3), visit [this page](https://github.com/fatchur/Simple-Tensor/tree/master/simple_tensor/transfer_learning). This package still in preview mode or unstable.
        
        - Unet Segmentation Package
        ```python
        still on progress ....
        ```
        
        - LSTM Package
        ```python
        still on progress ....
        ```
        
        
        ### DOCKER
        We already prepared the all in one docker for computer vision and deep learning libraries, including tensorflow 1.12, Opencv3.4.2 and contrib, CUDA 9, CUDNN 7, Keras, jupyter, numpy, sklearn, scipy, statsmodel, pandas, matplotlib, seaborn, flask, gunicorn etc. See the list of dockerfile below:
        
        ##### Docker: Ubuntu 16.04 with GPU (Cuda 9, cudnn 7.2) [TESTED]
        * https://github.com/fatchur/Opencv-contribt-Tensorflow-GPU-DS-Tools-Docker/tree/master/docker-16.04
        ##### Docker: Ubuntu 18.04 with GPU (Cuda 9, cudnn 7.2)
        * https://github.com/fatchur/Opencv-contribt-Tensorflow-GPU-DS-Tools-Docker/tree/master/docker-18.04
        ##### Docker: Ubuntu 16.04 without GPU (Cuda 9, cudnn 7.2) [TESTED]
        * https://github.com/fatchur/Opencv-contribt-Tensorflow-GPU-DS-Tools-Docker/tree/without_gpu/docker-16.04
        ##### Docker: Ubuntu 18.04 without GPU (Cuda 9, cudnn 7.2) [TESTED]
        * https://github.com/fatchur/Opencv-contribt-Tensorflow-GPU-DS-Tools-Docker/tree/without_gpu/docker-18.04
        
        
        
        
        
        
Platform: UNKNOWN
Description-Content-Type: text/markdown
