02 Jan 2018
Given the current state of deep learning research and development, we may need to play around with different frameworks (e.g., PyTorch for research and fun, Caffe2 for edge device inference, etc). However, setting up all the deep learning frameworks to coexist and function correctly is tedious and time-consuming.
So I made Deepo, which is a series of Docker images that
and their Dockerfile generator that
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17 May 2017
Many users have become accustomed to reducing wrinkles, freckles, and various blemishes from human subjects for a more visually appealing image or video.
To solve this problem, an effective way is to apply an edge-preserving filtering called bilateral filter. However, a vanilla bilateral filter has a high computational cost necessitating a powerful CPU / GPU to process full HD images in real-time. So I had been looking for an efficient alternative algorithm, and finally found
Yang, Qingxiong.
Recursive bilateral filtering.
European Conference on Computer Vision 2012.
that can achieve a good trade-off.
I made a lightweight C++ library for this algorithm, and obtained the following results (RecursiveBF):
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| Original Image |
OpenCV’s BF (896ms) |
RecursiveBF (18ms) |
Gaussian Blur |
Median Blur |
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16 Oct 2013
Wavelet rasterization is a method for analytically calculating an anti-aliased rasterization of arbitrary polygons or shape bounded by Bezier curves. For more details, please read the following paper:
Manson, Josiah, and Scott Schaefer. Wavelet rasterization. Computer Graphics Forum. Vol. 30. No. 2. Blackwell Publishing Ltd, 2011.
This is a python implementation of the algorithm. Currently it supports three types of contours:
- Polygon
- Quadratic Bezier Contour
- Cubic Bezier Contour
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