- PCLをGitからクローンする。(C:\PCL-1.7.2)
https://github.com/PointCloudLibrary/pcl/tree/pcl-1.7.2
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| <?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'"> |
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| 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 |
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| #!/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) |
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| import math | |
| import Image | |
| import Levenshtein | |
| class BWImageCompare(object): | |
| """Compares two images (b/w).""" | |
| _pixel = 255 |
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| # 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 |
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.
- Publishing (Draft->Approved->Published->Expired->Deleted)
Licensed to: ASIO Allsoftinone Quantity: 1 user Serial number: 1822-9597 License type: Pro Edition for Linux
First delete away trial mode:
sudo sed -i "s/keexjEP3t4Mue23hrnuPtY4TdcsqNiJL-5174TsUdLmJSIXKfG2NGPwBL6vnRPddT7tH29qpkneX63DO9ECSPE9rzY1zhThHERg8lHM9IBFT+rVuiY823aQJuqzxCKIE1bcDqM4wgW01FH6oCBP1G4ub01xmb4BGSUG6ZrjxWHJyNLyIlGvOhoY2HAYzEtzYGwxFZn2JZ66o4RONkXjX0DF9EzsdUef3UAS+JQ+fCYReLawdjEe6tXCv88GKaaPKWxCeaUL9PejICQgRQOLGOZtZQkLgAelrOtehxz5ANOOqCaJgy2mJLQVLM5SJ9Dli909c5ybvEhVmIC0dc9dWH+/N9KmiLVlKMU7RJqnE+WXEEPI1SgglmfmLc1yVH7dqBb9ehOoKG9UE+HAE1YvH1XX2XVGeEqYUY-Tsk7YBTz0WpSpoYyPgx6Iki5KLtQ5G-aKP9eysnkuOAkrvHU8bLbGtZteGwJarev03PhfCioJL4OSqsmQGEvDbHFEbNl1qJtdwEriR+VNZts9vNNLk7UGfeNwIiqpxjk4Mn09nmSd8FhM4ifvcaIbNCRoMPGl6KU12iseSe+w+1kFsLhX+OhQM8WXcWV10cGqBzQE9OqOLUcg9n0krrR3KrohstS9smTwEx9olyLYppvC0p5i7dAx2deWvM1ZxKNs0BvcXGukR+/g" /usr/lib/beyondcompare/BCompare
This guide explains how to build TensorFlow sources into a TensorFlow binary and how to install that TensorFlow binary on Windows.
You must choose one of the following types of TensorFlow to build and install:
- TensorFlow with CPU support only. If your system does not have a NVIDIA®