<commit_before>---
layout: post
title: "Finding Lane Lines"
date: 2016-12-06
mathjx: true
hlighters: htmlcode
image: findinglanelines.jpg
imagealt: "Lane Line Detection"
description: "Image processing with OpenCV and Python to find lane lines on the road"
category: Image Processing
tags: python opencv moviepy image_processing udacity sdcnd cars
published: true
comments: true
---

Recenttly I started a new adventure by enrolling into Udacity SDCND program. This program is a great opportunity for people like me who wants to develope new skills. I just completed my first week and I have to admit that I am very impressed with the program in general. 

<!--more-->

This post will include the step by step process that I implemented for the first project of the course which is "Finding Lane Lines". The code is developed in Python using OpenCV. It can process both image and video files. 

All files including the Ipython notebook solution and the results are located in this **[repository](https://github.com/cmlpr/CarND-LaneLines-P1)**.

## Helper Functions
***


```python
# Import packages necessary for the computations
import matplotlib.pyplot as plt
import matplotlib.image as mpimg<commit_msg>P1 - typo corrected<commit_after>---
layout: post
title: "Finding Lane Lines"
date: 2016-12-06
mathjx: true
hlighters: htmlcode
image: findinglanelines.jpg
imagealt: "Lane Line Detection"
description: "Image processing with OpenCV and Python to find lane lines on the road"
category: Image Processing
tags: python opencv moviepy image_processing udacity sdcnd cars
published: true
comments: true
---

Recenttly I started a new adventure by enrolling into Udacity SDCND program. This program is a great opportunity for people like me who wants to develop new skills. I just completed my first week and I have to admit that I am very impressed with the program in general. 

<!--more-->

This post will include the step by step process that I implemented for the first project of the course which is "Finding Lane Lines". The code is developed in Python using OpenCV. It can process both image and video files. 

All files including the Ipython notebook solution and the results are located in this **[repository](https://github.com/cmlpr/CarND-LaneLines-P1)**.

## Helper Functions
***


```python
# Import packages necessary for the computations
import matplotlib.pyplot as plt
import matplotlib.image as mpimg
{'fraction_non_alphanumeric': 0.06086956521739131, 'fraction_numerical': 0.007867494824016562, 'mean_word_length': 4.65807962529274, 'pattern_counts': {'":': 0, '<': 5, '<?xml version=': 0, '>': 5, 'https://': 2, 'lorem ipsum': 0, 'www.': 0, 'xml': 0}, 'pii_count': 0, 'substrings_counts': 0, 'word_list_counts': {'cursed_substrings.json': 0, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
{'dir': 'git-commits-cleaned', 'id': '4214370', 'n_tokens_mistral': 659, 'n_tokens_neox': 616, 'n_words': 341}