I'm going to cover a simple, but effective, utility for managing state and transitions (aka workflow). We often need to store the state (status) of a model and it should only be in one state at a time.
| # imports | |
| import numpy as np | |
| import cv2 | |
| import matplotlib.pyplot as plt | |
| # The Hough Transform is a popular algorithm for detecting any shape that can | |
| # be represented in a parametric mathmatical form in binary images. This | |
| # usually means that images need to be thresholded or filtered prior to running |
| import math | |
| import Image | |
| import Levenshtein | |
| class BWImageCompare(object): | |
| """Compares two images (b/w).""" | |
| _pixel = 255 |
| #!/usr/bin/env python | |
| # Implementation of algorithm from http://stackoverflow.com/a/22640362/6029703 | |
| import numpy as np | |
| import pylab | |
| def thresholding_algo(y, lag, threshold, influence): | |
| signals = np.zeros(len(y)) | |
| filteredY = np.array(y) | |
| avgFilter = [0]*len(y) | |
| stdFilter = [0]*len(y) |
| XenomaiVersion=3.0.5 | |
| KernelVersion=4.9.y | |
| PLATFORM=arm | |
| git clone https://github.com/raspberrypi/linux.git -b rpi-${KernelVersion} --depth 1 | |
| wget http://xenomai.org/downloads/xenomai/stable/xenomai-${XenomaiVersion}.tar.bz2 | |
| wget http://xenomai.org/downloads/ipipe/v4.x/arm/ipipe-core-4.4.43-arm-8.patch | |
| wget http://busybox.net/downloads/busybox-1.26.2.tar.bz2 |
| <?xml version="1.0" encoding="utf-8"?> | |
| <Project DefaultTargets="Build" ToolsVersion="4.0" xmlns="http://schemas.microsoft.com/developer/msbuild/2003"> | |
| <ImportGroup Label="PropertySheets" /> | |
| <PropertyGroup Label="UserMacros"> | |
| <OPENCV_INSTALL_DIR>C:\dev\opencv-2.4.9\build\install</OPENCV_INSTALL_DIR> | |
| </PropertyGroup> | |
| <!-- Debug|Win32 --> | |
| <PropertyGroup Condition="'$(Configuration)|$(Platform)'=='Debug|Win32'"> | |
| </PropertyGroup> | |
| <ItemDefinitionGroup Condition="'$(Configuration)|$(Platform)'=='Debug|Win32'"> |
In this article, I will share some of my experience on installing NVIDIA driver and CUDA on Linux OS. Here I mainly use Ubuntu as example. Comments for CentOS/Fedora are also provided as much as I can.
