- Create or find a gist that you own.
- Clone your gist (replace
<hash>
with your gist's hash):# with ssh git clone [email protected]:<hash>.git mygist
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#!/bin/bash | |
# This gist is a step by step instructions to build and install OpenCV from source on ubuntu 16.04 LTS | |
# note: The easy and quick way to install is | |
# sudo pip3 install opencv-python | |
# sudo pip3 install opencv-contrib-python | |
# But this easy pypi installation canโt open video files on GNU/Linux distribution or on mac OS X system. | |
# And on some system opencv binaries provided packages are not compiled. | |
# Therefor we have no way rather than build it from source. | |
In this quick walkthough you'll learn how to create a separate branch in your repo to house your screenshots and demo gifs for use in your master's readme.
In order to prevent any loss of work it is best to clone the repo in a separate location to complete this task.
Create a new branch in your repo by using git checkout --orphan assets
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BenchmarkMutexCache/10-8 10000000 180 ns/op 0 B/op 0 allocs/op | |
BenchmarkMutexCache/100-8 10000000 187 ns/op 0 B/op 0 allocs/op | |
BenchmarkMutexCache/1000-8 10000000 214 ns/op 0 B/op 0 allocs/op | |
BenchmarkMutexCache/10000-8 10000000 231 ns/op 0 B/op 0 allocs/op | |
BenchmarkMutexCache/100000-8 5000000 254 ns/op 2 B/op 0 allocs/op | |
BenchmarkMutexCache/1000000-8 1000000 1159 ns/op 102 B/op 1 allocs/op | |
BenchmarkMutexCache/10000000-8 1000000 1481 ns/op 184 B/op 2 allocs/op | |
BenchmarkMutexCache/100000000-8 1000000 1655 ns/op 187 B/op 3 allocs/op | |
BenchmarkSyncMapCache/10-8 5000000 221 ns/op 0 B/op 0 allocs/op |
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template<class Vector3> | |
std::pair<Vector3, Vector3> best_plane_from_points(const std::vector<Vector3> & c) | |
{ | |
// copy coordinates to matrix in Eigen format | |
size_t num_atoms = c.size(); | |
Eigen::Matrix< Vector3::Scalar, Eigen::Dynamic, Eigen::Dynamic > coord(3, num_atoms); | |
for (size_t i = 0; i < num_atoms; ++i) coord.col(i) = c[i]; | |
// calculate centroid | |
Vector3 centroid(coord.row(0).mean(), coord.row(1).mean(), coord.row(2).mean()); |
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// A simple quickref for Eigen. Add anything that's missing. | |
// Main author: Keir Mierle | |
#include <Eigen/Dense> | |
Matrix<double, 3, 3> A; // Fixed rows and cols. Same as Matrix3d. | |
Matrix<double, 3, Dynamic> B; // Fixed rows, dynamic cols. | |
Matrix<double, Dynamic, Dynamic> C; // Full dynamic. Same as MatrixXd. | |
Matrix<double, 3, 3, RowMajor> E; // Row major; default is column-major. | |
Matrix3f P, Q, R; // 3x3 float matrix. |
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/** | |
* @brief Mapping functions from Eigen data types to OpenCV | |
* @author Eugene Khvedchenya <[email protected]> | |
* @details This header file contains code snippet for easy mapping Eigen types to OpenCV and back with minimal overhead. | |
* @more computer-vision.talks.com/articles/mapping-eigen-to-opencv/ | |
* Features: | |
* - Mapping plain data types with no overhead (read/write access) | |
* - Mapping expressions via evaluation (read only acess) | |
* | |
* Known issues: |
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// circ_shift.h | |
// https://stackoverflow.com/questions/46077242/eigen-modifyable-custom-expression/46301503#46301503 | |
// this file implements circShift, fftshift, and ifftshift for Eigen vectors/matrices. | |
// | |
#pragma once | |
#include <Eigen/Core> | |
template <bool B> using bool_constant = std::integral_constant<bool, B>; |
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