Metadata-Version: 2.1
Name: h5cv
Version: 0.1.1
Summary: Command Line utility for cost of aws.
Home-page: https://github.com/toyama0919/h5cv
Author: Hiroshi Toyama
Author-email: toyama0919@gmail.com
License: MIT
Description: # h5cv
        
        [![PyPI version](https://badge.fury.io/py/h5cv.svg)](https://badge.fury.io/py/h5cv)
        [![Build Status](https://secure.travis-ci.org/toyama0919/h5cv.png?branch=master)](http://travis-ci.org/toyama0919/h5cv)
        
        show hdf5 file in image file.
        
        
        ## get start
        
        ```bash
        $ ls -lh evaluation/
        total 2936
        -rw-r--r--@ 1 hiroshi.toyama  1522739515    37K  7  3  2019 car1.jpg
        -rw-r--r--@ 1 hiroshi.toyama  1522739515   188K  7  3  2019 cat1.jpg
        -rw-r--r--  1 hiroshi.toyama  1522739515   137K  7  3  2019 dog1.jpg
        -rw-r--r--  1 hiroshi.toyama  1522739515    51K  7  3  2019 dog2.jpg
        -rw-r--r--  1 hiroshi.toyama  1522739515    77K  7  3  2019 dog3.jpg
        -rw-r--r--  1 hiroshi.toyama  1522739515   8.8K  7  3  2019 dog4.jpg
        -rw-r--r--@ 1 hiroshi.toyama  1522739515    42K  7  3  2019 monitor1.jpg
        -rw-r--r--  1 hiroshi.toyama  1522739515   267K  7  3  2019 person1.jpg
        -rw-r--r--  1 hiroshi.toyama  1522739515   170K  7  3  2019 person2.jpg
        -rw-r--r--  1 hiroshi.toyama  1522739515   467K  7  3  2019 room1.jpg
        
        $ h5cv -H test.h5 --store numpy write -g 'evaluation/*.jpg' -a
        2020-03-06 19:13:35,972 INFO - compression => None
        2020-03-06 19:13:35,973 INFO - generate numpy: evaluation/dog4.jpg => test.h5:evaluation/dog4.jpg
        2020-03-06 19:13:35,977 INFO - generate numpy: evaluation/car1.jpg => test.h5:evaluation/car1.jpg
        2020-03-06 19:13:35,978 INFO - generate numpy: evaluation/dog3.jpg => test.h5:evaluation/dog3.jpg
        2020-03-06 19:13:35,980 INFO - generate numpy: evaluation/monitor1.jpg => test.h5:evaluation/monitor1.jpg
        2020-03-06 19:13:35,982 INFO - generate numpy: evaluation/dog2.jpg => test.h5:evaluation/dog2.jpg
        2020-03-06 19:13:35,983 INFO - generate numpy: evaluation/dog1.jpg => test.h5:evaluation/dog1.jpg
        2020-03-06 19:13:35,985 INFO - generate numpy: evaluation/cat1.jpg => test.h5:evaluation/cat1.jpg
        2020-03-06 19:13:35,987 INFO - generate numpy: evaluation/person1.jpg => test.h5:evaluation/person1.jpg
        2020-03-06 19:13:35,989 INFO - generate numpy: evaluation/person2.jpg => test.h5:evaluation/person2.jpg
        2020-03-06 19:13:35,991 INFO - generate numpy: evaluation/room1.jpg => test.h5:evaluation/room1.jpg
        
        $ h5cv -H test.h5 ls -r
        evaluation
        evaluation/car1.jpg
        evaluation/cat1.jpg
        evaluation/dog1.jpg
        evaluation/dog2.jpg
        evaluation/dog3.jpg
        evaluation/dog4.jpg
        evaluation/monitor1.jpg
        evaluation/person1.jpg
        evaluation/person2.jpg
        evaluation/room1.jpg
        ```
        
        ## h5cv command
        
        #### list keys
        
        ```bash
        $ h5cv -H test.h5 ls [-r] [key]
        ```
        
        #### show dataset in hdf5.
        
        ```bash
        $ h5cv -H test.h5 show /some_group/test.jpg.np
        ```
        
        #### imgcat in hdf5.
        
        ```bash
        $ h5cv -H test.h5 imgcat /some_group/test.jpg
        ```
        
        #### write in hdf5.
        
        ```bash
        $ h5cv -H test.h5 \
          [--store [numpy|binary]] \
          write \
          -g 'images/*.jpg' \
          [--output-group mygroup] \
          [--compression gzip] \
          [--append]
        ```
        
        #### delete dataset or group in hdf5.
        
        ```bash
        $ h5cv -H test.h5 delete /some_group/test.jpg
        ```
        
        ## custom generator
        
        ```
        from h5cv.core import Core
        from h5cv.generator import Generator
        from PIL import Image
        
        
        class MyGenerator(Generator):
            def __getitem__(self, path):
                print(f"custom generate {path}")
                return Image.open(path)
        
        Core(
            hdf5="test.h5"
        ).write(
            "evaluation/*.jpg",
            generator=MyGenerator(),
            compression="gzip"
        )
        ```
        
        
        ## Installation
        
        ```sh
        pip install h5cv
        ```
        
        ### Installation from github
        
        ```sh
        pip install git+https://github.com/toyama0919/h5cv
        ```
        
Keywords: h5cv hdf5 Python3 cv
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Description-Content-Type: text/markdown
Provides-Extra: test
