Metadata-Version: 2.0
Name: simple-imshow
Version: 1.0
Summary: A simple tool to display (and read to np.ndarray) images from a url, file, image object, etc.
Home-page: https://github.com/mathandy/simple-imshow
Author: Andy Port
Author-email: AndyAPort@gmail.com
License: MIT
Download-URL: http://github.com/mathandy/simple-imshow/tarball/1.0
Keywords: image,images,display,read,imshow,imread
Platform: OS Independent
Classifier: Development Status :: 4 - Beta
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python :: 2
Classifier: Programming Language :: Python :: 3
Classifier: Topic :: Multimedia :: Graphics
Classifier: Topic :: Scientific/Engineering :: Image Recognition
Classifier: Topic :: Scientific/Engineering :: Information Analysis
Classifier: Topic :: Scientific/Engineering :: Visualization
Classifier: Topic :: Software Development :: Libraries :: Python Modules
Requires: numpy
Requires: scipy
Requires: matplotlib
Requires: requests

**simple-imshow**
#################


**What it does:**

Reads and displays an image from a url, local filename, PIL image object, `numpy.ndimage object`, or any object type scipy.misc.imread supports directly.
Also contains an `simread` function that will return the image as a `numpy.ndarray`.

I've had to look up how to display an image in this context or that too many
times.  This is an attempt to remedy that.


**Setup**

.. code:: bash

    $ pip install simple-imshow

**Usage**

.. code:: bash

    >> from simshow import simshow
    >> imshow('test-cats.jpg')  # display from local file
    >> imshow('http://mathandy.com/escher_sphere.png')  # display from url


**Request for Community Support:**

I'd love for others to help me make this a more
robust, more convenient tool -- so, as the FAA likes to say, "If you see something, say something." Or at least feel free to.


**TODO:**

* Add simple tool to take a list of images and display a random sample (or all) as a grid of thumbnails.

* Add support for plots.


**Some thoughts on guidelines for this project:**

* `simread` should be fast.

* I'd like to keep required dependencies limited to common ones available through pip (e.g. no requirement for opencv)

* It'd be nice if `simshow` could refresh quickly enough support video feeds.  In my experience matplotlib figures will not though (I do not know matplotlib well though).

