Metadata-Version: 2.1
Name: tfr_image
Version: 1.2
Summary: TFRimage is minimal tool to create TFRecords from a small dataset of images
Home-page: https://github.com/jmarrietar/tfr_image
License: MIT
Description: # TFRimage
        An experimental minimal tool to create TFRecords from a **small dataset** of images (few thousand images max). Based on code from [create_tfrecords](https://github.com/kwotsin/create_tfrecords) but adapted to Tensorflow 2.0 with some changes. 
        
        ## 📋 Installation
        ```bash
        pip install tfr_image
        ```
        
        ## 💻 Usage
        Example of the directory structure: 
        
            ├── cat_dogs_sample
            │   │── train
            │       │── cat
            │            │── cat1.jpg
            │            │── cat2.jpg
            │       │── dog
            │            │──  dog1.jpg
            │            │── dog2.jpg
        
        Example to create `tfrecords` inside `dataset_dir` directory 
        ```python
        from tfr_image import TFRimage
        
        tool = TFRimage()
        tool.create_tfrecords(
            dataset_dir="../cat_dogs_sample/train",
            tfrecord_filename="cat_dogs",
            validation_size=0.2,
            num_shards=2,
        )
        ```
        
        ## Other Tools
        
        - [tensorflow-recorder](https://github.com/google/tensorflow-recorder) : Google open source tool for *Big* dataset of images that provides connectivity with Google Cloud Dataflow. 
Platform: UNKNOWN
Description-Content-Type: text/markdown
