Real Time Face Mask Detection with Tensorflow and Python

Real Time Face Mask Detection with Tensorflow and Python

In this video we’re going to go through how to build a custom object detection model that can be used to make detections in real time. Now whilst we’re using it for detecting face masks this can be easily repurposed to perform real-time detection for a whole range of use cases simply by updating the annotations and the label map.

In this video we’re going to go through how to build a custom object detection model that can be used to make detections in real time. Now whilst we’re using it for detecting face masks this can be easily repurposed to perform real-time detection for a whole range of use cases simply by updating the annotations and the label map.

In this video you’ll learn how to:

1. Install labelImg and label images from scratch for object detection

2. Train and run a custom object detector for face mask detection

3. Use transfer learning to train on top of existing SOTA models

4. Setup a proper workflow and directory structure for training

5. Make detections in real time using the trained model

Get the training template here: https://github.com/nicknochnack/RealT...

Other Links Mentioned in the Video

LabelImg: https://github.com/tzutalin/labelImg

Kaggle Repo: https://www.kaggle.com/wobotintellige...

Installing the Tensorflow Object Detection API: https://tensorflow-object-detection-a...

Tensorflow Models: https://github.com/tensorflow/models

Tensorflow 2 Detection Model Zoo (for alternate pre-trained models): https://github.com/tensorflow/models/...

Subscribe: https://www.youtube.com/channel/UCHXa4OpASJEwrHrLeIzw7Yg

tensorflow python

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