Gender_classifier

A gender classifier with 94% accuracy of testing sets has been trained with 6000 faces

Usage

• crawling_image.ipynb : crawling images by HTTP request
• haarCascade_face_detection.ipynb : implements face detection by different harrcascade classifier
• extract_and_save_face.ipynb : detect faces in the image, then crop and save
• train_gender_classifier.ipynb : implements CNN model and training
• vgg_pre_trained_model.ipynb : implements VGG16 model with weights pre-trained on ImageNet, but not suggest to only a few classes
• data_geneterator.ipynb : generate batches of tensor image data with real-time data augmentation
• rectangle_face_mark_gender.ipynb : implements face detection, then add rectangle and mark gender to different faces in the image
• gender_classify_middle_hiar_man.h5 : training weights of this classifier

Dependencies

• Python 3.5+
• Tensorflow 1.2+
• Keras 2.0+
• OpenCV 3.1+
• numpy, Pandas, PIL, matplotlib, requests
• Anaconda 4.3, CPU: i7-4790 3.60GHz, GPU: GeForce GTX750, CUDA 8.0, cuDNN 5.0

Results

Environment setup

Running deep learning model with GPU acceleration

• Windows

1. Is your VGA CUDA-Enabled? https://developer.nvidia.com/cuda-gpus
2. Install CUDA https://developer.nvidia.com/cuda-downloads
3. Install cuDNN https://developer.nvidia.com/cudnn
   

• add ./cudnn/cuda/bin/cudnn64_5.dll to $PATH

4. Install Anaconda https://www.anaconda.com/download/
5. Create tensorflow-gpu shell, install tensorflow, keras and OpenCV by the following scripts
   

• cmd
• conda create --name tensorflow-gpu python=3.5 anaconda
• activate tensorflow-gpu
• pip install tensorflow-gpu
• pip install keras
• conda install -c menpo opencv3
• python
• import tensorflow, keras, cv2
• tensorflow.__version__ (check version)
• keras.__version__
• cv2.__version__ (check OpenCV version)
• deactivate tensorflow-gpu (leave shell)

• Linux(Ubuntu16.04)

1. nvidia-smi (check VGA spec.)
2. apt-get update
apt-get upgrade
3. install cuda
4. install cudnn
5. install anaconda
6. Create tensorflow-gpu shell. Install tensorflow, keras and OpenCV by the following scripts
   

• conda create -n tensorflow-gpu pyton=3.5
• source activate tensorflow-gpu
• conda install anaconda
• conda install -c conda-forge tensorflow-gpu
• conda install --channel https://conda.anaconda.org/menpo opencv3
• python
• import tensorflow, keras, cv2
• tensorflow.__version__ (check version)
• keras.__version__
• cv2.__version__ (check OpenCV version)
• source deactivate tensorflow-gpu (leave shell)