v0.1.1 Initial release on Python Package Index (PyPI).

README.md

@@ -4,21 +4,21 @@ VidGear is a lightweight python wrapper around OpenCV [Video I/O module](https:/
 
 
 ## Installation
-**VidGear requires [OpenCV](https://www.pyimagesearch.com/2018/05/28/ubuntu-18-04-how-to-install-opencv/) and [Picamera](https://picamera.readthedocs.io/en/release-1.13/install.html) (*Only if you want to use Raspberry Pi Camera Module*) library installation prior to its installation (*Latest versions recommended*).**
+**VidGear requires [OpenCV](https://www.pyimagesearch.com/2018/05/28/ubuntu-18-04-how-to-install-opencv/) and [Picamera](https://picamera.readthedocs.io/en/release-1.13/install.html) (*Only if you want to use Raspberry Pi Camera Module*) libraries installation prior to its installation (*Latest versions recommended*).**
 
-- **Download from Release Page(Stable):** `vidgear` wheel file could be easily be downloaded from [release page](https://github.com/abhiTronix/vidgear/releases) (*since not available on PIP yet*) and then can be installed as follows:
+- **Download from Release Page(Stable):** `vidgear` wheel file could be easily be downloaded and can be installed as follows(**Now available on [Python Package Index (PyPI)](https://pypi.org/project/vidgear/)**):
   ```bash
-  sudo pip install vidgear-0.1.0-py2.py3-none-any.whl
+  sudo pip install vidgear
   ```
 - **Clone This Repo(Latest but experimental):** Or you can clone this repository and install using pip as follows:
   ```bash
   git clone https://github.com/abhiTronix/vidgear.git
   cd vidgear
   sudo pip install .
   ```
-- **Conda Install:**  Anaconda prefers to use its own `conda package manager`, but it’s also possible to install packages using `pip`. After you’ve downloaded the `vidgear` wheel file from [release page](https://github.com/abhiTronix/vidgear/releases), open up the ‘Anaconda Command Prompt‘ and navigate to the folder containing the downloaded wheel and install as follows:
+- **Conda Install:**  Anaconda prefers to use its own `conda package manager`, but it’s also possible to install packages using `pip`. You can install as follows:
    ```bash
-   pip install vidgear-0.1.0-py2.py3-none-any.whl
+   pip install vidgear
    ```
 
 

setup.py

@@ -1,21 +1,25 @@
 import setuptools
 from setuptools import setup
 
+with open("README.md", "r") as fh:
+    long_description = fh.read()
+
 setup(
     name='vidgear',
     packages=['vidgear','vidgear.gears'],
-    version='0.1.0',
+    version='0.1.1',
     description='A OpenCV Python Multi-Threaded Video Streaming Wrapper Library',
     license='MIT License',
     author='abhiTronix',
+    long_description=long_description,
+    long_description_content_type="text/markdown",
     author_email='[email protected]',
     url='https://github.com/abhiTronix/vidgear',
-    download_url='https://github.com/abhiTronix/vidgear/tarball/0.1.0',
+    download_url='https://github.com/abhiTronix/vidgear/tarball/0.1.1',
     keywords=['computer vision', 'multi-thread', 'opencv', 'opencv2', 'opencv4', 'picamera'],
     classifiers=[
     'Development Status :: 5 - Production/Stable',
     'Intended Audience :: Developers',
-    'Topic :: Computer Vision :: Video Processing',
     'License :: OSI Approved :: MIT License',
     'Programming Language :: Python :: 2',
     'Programming Language :: Python :: 2.7',