| 1. Full Project Code.html | 102.4 B | ||
| 1. Importing the libraries.mp4 | 36.5 MB | ||
| 1. Importing the libraries.srt | 7.9 KB | ||
| 1. Project Overview.mp4 | 3.4 MB | ||
| 1. Project Overview.srt | 1.3 KB | ||
| 1. What is Dlib.mp4 | 7 MB | ||
| 1. What is Dlib.srt | 2 KB | ||
| 2. About Dlib Face Detector.mp4 | 8.5 MB | ||
| 2. About Dlib Face Detector.srt | 1.8 KB | ||
| 2. Introduction to Google Colab.mp4 | 5.2 MB | ||
| 2. Introduction to Google Colab.srt | 1.7 KB | ||
| 2. Loading the dlib face regions predictor.mp4 | 9.1 MB | ||
| 2. Loading the dlib face regions predictor.srt | 1.9 KB | ||
| 3. About Dlib Face Region Predictor.mp4 | 8.1 MB | ||
| 3. About Dlib Face Region Predictor.srt | 1.8 KB | ||
| 3. Defining the Face region coordinates.mp4 | 9.5 MB | ||
| 3. Defining the Face region coordinates.srt | 1.9 KB | ||
| 3. Understanding the project folder structure.mp4 | 12.9 MB | ||
| 3. Understanding the project folder structure.srt | 3.6 KB | ||
| 4. Using Euclidean distance to calculate the Eye Aspect Ratio.mp4 | 28.2 MB | ||
| 4. Using Euclidean distance to calculate the Eye Aspect Ratio.srt | 3.9 KB | ||
| 5. Loading the face detector and face landmark predictor.mp4 | 26.3 MB | ||
| 5. Loading the face detector and face landmark predictor.srt | 4.8 KB | ||
| 6. Using the face region coordinates to extract the left and right eye details.mp4 | 7.3 MB | ||
| 6. Using the face region coordinates to extract the left and right eye details.srt | 1.3 KB | ||
| 7. Defining a method to play the alarm..mp4 | 6.5 MB | ||
| 7. Defining a method to play the alarm..srt | 1.2 KB | ||
| 8. Putting it all together..mp4 | 126.3 MB | ||
| 8. Putting it all together..srt | 21.6 KB | ||
| Bonus Resources.txt | 409.6 B | ||
| Drowsiness_Detection.ipynb | 861.4 KB | ||
| Get Bonus Downloads Here.url | 204.8 B | ||
| __init__.cpython-37.pyc | 307.2 B | ||
| __init__.py | 204.8 B | ||
| colabVideoStream.cpython-37.pyc | 4.8 KB | ||
| colabVideoStream.py | 4.8 KB | ||
| resize.cpython-37.pyc | 614.4 B | ||
| resize.py | 921.6 B | ||
| shape_predictor_68_face_landmarks.dat | 95.1 MB | ||
| videostream.cpython-37.pyc | 1.2 KB | ||
| webcamvideostream.cpython-37.pyc | 1.3 KB | ||
| ▲ 41 total files | |||
Artificial Intelligence : Drowsiness Detection using DLib
https://DevCourseWeb.com
Genre: eLearning | MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 365 MB | Duration: 41m
A practical hands on AI Project on building a Drowsiness Detection System using DLib.
What you'll learn
What is Dlib
About Dlib Face Detector
About Dlib Face Region Predictor
Using Euclidean distance to calculate the Eye Aspect Ratio
Detecting drowsiness in live video stream in Google Colab
Description
If you want to learn the process to detect drowsiness while a person is driving a car with the help of AI then this course is for you.
| torrent name | size | uploader | age | seed | leech |
|---|---|---|---|---|---|
| 1.8 GB | freecoursewb | 4 weeks | 11 | 5 | |
| 1.8 GB | freecoursewb | 2 months | 13 | 11 | |
| 2 GB | freecoursewb | 2 months | 27 | 34 | |
| 1.9 GB | freecoursewb | 3 months | 5 | 3 | |
| 2 GB | freecoursewb | 4 months | 15 | 8 |
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