Gender detection using deep learning with keras.

The keras model is created by training on 1300 face images (~6500 for each class). Face region is cropped by applying face detection using Opencv on the images gathered from Google Images.Used 6 gender(male,female) after generated with ImageDataGenerator.

Note: Python 2.x is not supported

Python packages

• numpy
• tensorflow_gpu
• OpenCv
• PyQt5
• Matplotlib

Install the required packages by executing the following command.

$ pip install -r requirements.txt

Usage

If you want before training model!

$ python train.py

Real-time gender detection(webcam)

$ python deep.py

• If you have an Nvidia GPU, then you can install tensorflow-gpu package. It will make things run a lot faster. Depending on the hardware configuration of your system, the execution time will vary. On CPU, training will be slow. Please use onlu tensorflow_gpu GPU .

• Minimal:

• 8gb RAM

• Core i5

• Nvidia

Help

If you are facing any difficulty, feel free to create a new issue or reach out on Facebook Rashad Garayev .