Otherwise, you can install like this: pip install matplotlib Python Code for Detection of Lane Lines in an Imageīefore, we get started, I’ll share with you the full code you need to perform lane detection in an image. Install Matplotlib, a plotting library for Python.įor Anaconda users: conda install -c conda-forge matplotlib If you’re using Anaconda, you can type: conda install numpyĪlternatively, you can type: pip install numpy Make sure you have NumPy installed, a scientific computing library for Python. If you are using Anaconda, you can type: conda install -c conda-forge opencvĪlternatively, you can type: pip install opencv-python Check to see if you have OpenCV installed on your machine. We now need to make sure we have all the software packages installed. This frame is 600 pixels in width and 338 pixels in height: Here is an example of what a frame from one of your videos should look like. Type “driving” or “lanes” in the video search on that website. We want to download videos and an image that show a road with lanes from the perspective of a person driving a car. The first thing we need to do is find some videos and an image to serve as our test cases. Let’s get started! Find Some Videos and an Image Trying to understand every last detail is like trying to build your own database from scratch in order to start a website or taking a course on internal combustion engines to learn how to drive a car. Get a working lane detection application up and running and, at some later date when you want to add more complexity to your project or write a research paper, you can dive deeper under the hood to understand all the details. Focus on the inputs, the outputs, and what the algorithm is supposed to do at a high level. We are trying to build products not publish research papers. Trust the developers at Intel who manage the OpenCV computer vision package. bitwise AND, Sobel edge detection algorithm etc.). Don’t get bogged down in trying to understand every last detail of the math and the OpenCV operations we’ll use in our code (e.g. Python 3.7 or higher with OpenCV installedĪs you work through this tutorial, focus on the end goals I listed in the beginning.In a future post, we will use #3 to control the steering angle of a self-driving car in the CARLA autonomous driving simulator. The position of the vehicle relative to the middle of the lane.Our goal is to create a program that can read a video stream and output an annotated video that shows the following:
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