Metadata-Version: 2.1
Name: imread-benchmark
Version: 0.0.2
Summary: Benchmark for image reading for different libraries.
Home-page: https://github.com/ternaus/imread_benchmark
Author: Vladimir Iglovikov
Author-email: iglovikov@gmail.com
License: MIT
Description: [![Code style: black](https://img.shields.io/badge/code%20style-black-000000.svg)](https://github.com/ambv/black)
         [![CircleCI](https://circleci.com/gh/ternaus/io_benchmark/tree/master.svg?style=svg)](https://circleci.com/gh/ternaus/io_benchmark/tree/master)
        
        # I/O benchmark
        I/O benchmark for different image processing python libraries.
        
        # Installation
        
        You can use pip to install `imread_benchmark`:
        
        ```bash
        pip install imread_benchmark
        ```
        
        If you want to get the latest version of the code before it is released on PyPI you can install the library from GitHub:
        
        ```bash
        pip install -U git+https://github.com/ternaus/imread_benchmark
        ```
        
        # To calculate the I/O speed of your SSD/HDD in Linux
        
        ```bash
        sudo apt-get install hdparm
        
        sudo hdparm -Tt <disk_id>
        ```
        where `disk_id` is of the type `/dev/sda`
        
        As a result you may expect something like:
        
        ```bash
        /dev/sda:
         Timing cached reads:   26114 MB in  1.99 seconds = 13122.03 MB/sec
         Timing buffered disk reads: 1062 MB in  3.00 seconds = 353.70 MB/sec
        ```
        
        # To run the benchmark
        To get the description of all input parameters
        ```bash
        imread_benchmark -h
        ```
        
        
        ```bash
        imread_benchmark -d <path to images> \
                         -i <number of images to use> \
                         -r <number of repeats>
        ```
        
        Extra options:
        `-p` - to print benchmarked libraries versions
        `-s` - to shuffle images on every run   
        
        # Libraries that are benchmarked:
        
        OpenCV
        PIL
        
Platform: UNKNOWN
Classifier: License :: OSI Approved :: MIT License
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Science/Research
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 3
Classifier: Topic :: Software Development :: Libraries
Classifier: Topic :: Software Development :: Libraries :: Python Modules
Description-Content-Type: text/markdown
Provides-Extra: test
