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Graphics work Using OpenCV, Numpy, PIL, Scikit-learn, Tensorflow

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Your-Face

这是一个有关图像处理的综合项目。

Basic Graphic works

对图像的基本操作,空间变换、几何变换、颜色变换、图像叠加。

Color Space Transform

RGB to Gray

$ python rgb2gray.py Lena.bmp

Alpha channel

DWT

$ python dwt.py lena.png dwt2

FFT

$ python fft.py lena.png

Geometric Transform

partitioning

scaling

shifting

skewing

File Format Transform

png, bmp, jpg

Filter

noise

mean filter

median filter

Image blend

blending

overlap

Brightness

brightness

gama-correction

Image Accessment

对图像的评估。

Image Quality Accessment

Mean Square Error (MSE) 均方差

Structure Similaruty (SSIM) 结构相似度

Peak Signal To Noise Ratio (PSNR) 峰值信噪比

python image-iqa.py original_image new_image

Image Recognition

图像识别、分类。

tensorflow-model

caffe-model

self-train-model

Human Face

Face Recognition Using OpenCV Haar Cascades

$ python static.py IMAGE_FILE

$ python live.py

Third-party package

numpy

matplotlib

pywt

python-opencv

$ brew install opencv
add "export PYTHONPATH=/usr/local/lib/python2.7/site-packages:$PYTHONPATH" to ~/.bashrc or ~/.zshrc

PIL

TensorFlow

Scikit-learn

scikit-image

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Graphics work Using OpenCV, Numpy, PIL, Scikit-learn, Tensorflow

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