Use opencv, numpy, matplot, scikit-image in Python to create different image filters to show the beautiful scenery of London, then use dash to show before after as an album.
‘When a man is tired of London, he is tired of life.’ Everytime I walk on the streets of London, I feel that every landscape is an oil painting. This reminds me of one of my favourite impressionism artists -Claude Monet.
As a overseas student, the life of studying in London is a memory that I will never forget in my life. So I hope to record the beautiful scenery of London in the form of paintings and make it into 'an album'.
Oil Painting Effect filter link
It is included in cv2.xphoto() which also has several other cool functions like image inpainting, white balance, image denoising, etc. Step 1: Superpixel segmentation of the area Step 2: Substitute the original pixel for the material sample of the segmented area
Pointillist Art filter link
To do this in Python, our first step is to compute the most used colors for which Kmeans is used. I used a color palette of 20 which means that the dots will be made by 20 most used colors will be present in the image. A suitable radius size is calculated for the dots according to the image size. Then we loop over the image and find the color closest to the dot, using which the circle is drawn.
Frosted glass filter link
The double layer circulates through each pixel of the image, and then uses the defined random number to replace the color of each neighborhood pixel.
Pencil sketch filter link
The cv2.bilateralFilter() function is called to perform bilateral filtering on the original image. The filter can effectively remove noise while ensuring clear boundary and shorten pixel value to one value every 7 gray levels. It uses both spatial Gaussian weight and gray similarity Gaussian weight to ensure that the boundary will not be blurred.
Light ripple filter link
Calculate the center position of wave, and then call np.sin() function to calculate the wave transfer function, and finally form the light wave special effect.
I use dash to visualize them in Reactive Web Apps. You’ll find a getting started guide here and the Dash code on GitHub here. Dash is a user interface library for creating analytical web applications. Those who use Python for data analysis, data exploration, visualization, modelling, instrument control, and reporting will find immediate use for Dash. link
I choose 'streets of London' as my BGM. I hope this can takes you back to your London memories.
Python image manipulation tools
Opencv library: https://github.com/opencv/opencv-python
Dash introduction: https://medium.com/plotly/introducing-dash-5ecf7191b503
Dash core component library:
https://github.com/plotly/dash-core-components
https://dash.plotly.com/dash-core-components/graph
Machine learning in creating art and music
Create Pointillism Art from Digital Images
python-opencv displays blur, beautification, watercolor and other effects on videos and images