Released version 0.2 to PyPI

Readme.md

@@ -1,6 +1,6 @@
 # YOLO3-4-Py
-[![PyPI Badge](https://img.shields.io/badge/PyPI-0.1.0-blue.svg)](https://pypi.org/project/yolo34py)
-[![PyPI Badge](https://img.shields.io/badge/PyPI-0.1.0--gpu-blue.svg)](https://pypi.org/project/yolo34py-gpu)
+[![PyPI Badge](https://img.shields.io/badge/PyPI-0.2.0-blue.svg)](https://pypi.org/project/yolo34py)
+[![PyPI Badge](https://img.shields.io/badge/PyPI-0.2.0--gpu-blue.svg)](https://pypi.org/project/yolo34py-gpu)
 [![Build Status](https://travis-ci.org/madhawav/YOLO3-4-Py.svg?branch=master)](https://travis-ci.org/madhawav/YOLO3-4-Py)
 
 A Python wrapper on [Darknet](https://github.com/pjreddie/darknet). Compatible with latest [YOLO V3](https://pjreddie.com/darknet/yolo).

src/pypi_readme.md

@@ -1,19 +1,19 @@
 A Python wrapper on [pjreddie's](https://pjreddie.com/) implementation (authors' implementation) of [YOLO V3 Object Detector](https://pjreddie.com/darknet/yolo) on [Darknet](https://github.com/pjreddie/darknet).
-Also compatible with other Darknet Object Detection models.
+This wrapper is also compatible with other Darknet object detection models.
 
 ![OutputImage](https://raw.githubusercontent.com/madhawav/YOLO3-4-Py/master/doc/output.jpg)
 Image source: http://absfreepic.com/free-photos/download/crowded-cars-on-street-4032x2272_48736.html
 
 # Prerequisites
 * Python 3.6+
 * Linux x86-64 Operating System
-* nVidia CUDA SDK (for GPU version only. Make sure nvcc is available in PATH variable.)
+* NVIDIA CUDA SDK (for GPU version only. Make sure nvcc is available in PATH variable.)
 
 # Sample Usage
 Note: This sample code requires OpenCV with python bindings installed. (`pip3 install opencv-python==3.4.0`)
 
 1) Create a directory to host sample code and navigate to it.
-2) Download and execute [this script](https://github.com/madhawav/YOLO3-4-Py/blob/master/download_models.sh) to download model files.
+2) Download and execute [this script](https://github.com/madhawav/YOLO3-4-Py/blob/master/tools/download_models.sh) to download model files.
 3) Create sampleApp.py with following code. Specify SAMPLE_INPUT_IMAGE.
     ```python
     from pydarknet import Detector, Image
@@ -26,38 +26,43 @@ Note: This sample code requires OpenCV with python bindings installed. (`pip3 in
 
     results = net.detect(img_darknet)
 
-    for cat, score, bounds in results:
+    for category, score, bounds in results:
         x, y, w, h = bounds
         cv2.rectangle(img, (int(x - w / 2), int(y - h / 2)), (int(x + w / 2), int(y + h / 2)), (255, 0, 0), thickness=2)
-        cv2.putText(img,str(cat.decode("utf-8")),(int(x),int(y)),cv2.FONT_HERSHEY_COMPLEX,1,(255,255,0))
+        cv2.putText(img, category ,(int(x),int(y)),cv2.FONT_HERSHEY_COMPLEX,1,(255,255,0))
 
     cv2.imshow("output", img)
     cv2.waitKey(0)
     ```
 4) Execute sampleApp.py `python sampleApp.py`.
 
 # Installation
-yolo34py comes in 2 variants, _CPU Only Version_ and _GPU Version_. Installation may take a while since it involves downloading and compiling of darknet.
+yolo34py comes in 2 variants, _CPU Only Version_ and _GPU Version_. 
+Installation may take a while since it involves downloading and compiling darknet.
 
 ## __CPU Only Version__
 This version is configured on darknet compiled with flag GPU = 0.
 ```bash
+pip3 install requests # Used to download darknet
+pip3 install cython
 pip3 install numpy
 pip3 install yolo34py
 ```
 
 ## GPU Version:
 This version is configured on darknet compiled with flag GPU = 1.
 ```bash
+pip3 install requests # Used to download darknet
+pip3 install cython
 pip3 install numpy
 pip3 install yolo34py-gpu
 ```
 
 
 # More Information
 * For more details on yolo34py (This python wrapper):
-   - GitHub Repo: https://github.com/madhawav/YOLO3-4-Py
-   - This is the place to discuss about issues of yolo34py. 
+   - GitHub: https://github.com/madhawav/YOLO3-4-Py
+   - This is the place to discuss issues of yolo34py. 
    - Your contributions are greatly appreciated. 
 * For more details on YOLO V3:
    - Website from Authors: https://pjreddie.com/yolo
@@ -68,4 +73,4 @@ pip3 install yolo34py-gpu
 
 # License
 * yolo34py (this wrapper) is under [Apache License 2.0](https://github.com/madhawav/YOLO3-4-Py/blob/master/LICENSE).
-* The version of darknet wrapped by yolo34py is [public domain](https://github.com/madhawav/darknet/blob/master/LICENSE). 
+* The version of darknet wrapped by yolo34py is in [public domain](https://github.com/madhawav/darknet/blob/master/LICENSE). 

src/setup.py

@@ -92,7 +92,7 @@
     long_description=get_readme(),
     long_description_content_type="text/markdown",
     cmdclass=cmd_class,
-    version='0.2rc1',
+    version='0.2',
     ext_modules=ext_modules,
     platforms=["linux-x86_64"],
     setup_requires=[