live detection on webcam

COMPUTER VISION (PART-3): Build a person-profiler application based on gender and complexion (Using the trained complexion model and pre-trained gender caffemodel for live detection on webcam)

GOAL: We will use the trained complexion model and pre-trained gender caffemodel to detect complexion and gender of a person based on facial recognition. This detection will be with webcam.

OUTLINE:

1. Load trained complexion model, and pretrained gender caffemodel.

2. Using opencv to open webcam and find face locations

3. USING OPENCV FOR WEBCAM DETECTION

1. Load trained complexion model, and pretrained gender caffemodel.

load gender and complexion models

2.Using opencv to open webcam and find face locations

access webcam and find face locations

3. Use the model for prediction and draw rectangle on face.

Apply model and draw rectangle

Output

WRITER: OLUYEDE SEGUN . A(jr)

View the code on my github:

https://github.com/juniorboycoder/Person_profiler_source_code/blob/main/complexion_detection%20_original.ipynb

linkedin profile: https://www.linkedin.com/in/oluyede-segun-adedeji-jr-a5550b167/

twitter profile: https://twitter.com/oluyedejun1

TAGS: #COMPUTERVISION #OPENCV #PYTHON #TENSORFLOW #KERAS