Top AI Repos — open-source AI, indexed and scored
Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Find lane lines on the road using Python and OpenCV, applying Canny edge detectors and Hough line transforms
| Date | Stars |
|---|---|
| 2026-07-24 | 326 |
| 2026-07-25 | 326 |
| 2026-07-28 | 326 |
| 2026-07-30 | 326 |
| 2026-08-06 | 326 |
Today
— stars today
This week
— stars this week
This month
— stars this month
Momentum
0.0
growth rate 0.00%/day
# Finding Lane Lines on the Road
<img src="laneLines_thirdPass.jpg" width="480" alt="Combined Image" />
This project detects lane lines using Python and OpenCV. A video of the end-result can be found at:
https://www.youtube.com/watch?v=EZcHGsPX55Y
## Dependencies
* Python 3.5
* NumPy
* OpenCV
* Matplotlib
* MoviePy
## How to run
To run the script stand-alone:
```
Usage: lane_lines.py [options]
Options:
-h, --help show this help message and exit
-i INPUT_FILE, --input_file=INPUT_FILE
Input video/image file
-o OUTPUT_FILE, --output_file=OUTPUT_FILE
Output (destination) video/image file
-I, --image_only Annotate image (defaults to annotating video)
```
For example, to detect lanes lines on the video 'challenge.mp4', run:
```python lane_lines.py -i challenge.mp4 -o extra.mp4```
To detect lane lines on a single image (e.g. for debugging), run:
```python lane_lines.py -i input_image.jpg -o output_image.jpg -I```
For detailed explanation of what the code does, and example images of intermediate steps, refer to P1.ipynb via ```jupyter notebook```
Excerpt of 1,138 characters
Read on GitHubWould you bet a product on this? Bounded 0–100 and slow moving.
matched fp:b3ea2a6d872cfded, topic:computer-vision, topic:opencv