rvvincelli

from emukit.core.interfaces import IModel, IDifferentiable
import numpy as np
from typing import Union
class DynamicNegativeLowerConfidenceBound(NegativeLowerConfidenceBound):
    def __init__(self, model: Union[IModel, IDifferentiable],input_space_size: int, delta: float) -> None:
        """
        This acquisition computes the negative lower confidence bound for a given input point. This is the same
        as optimizing the upper confidence bound if we would maximize instead of minimizing the objective function.
        For information as well as some theoretical insights see:
        Gaussian Process Optimization in the Bandit Setting: No Regret and Experimental Design

audrow

# A way of reproducing https://github.com/ros2/rviz/issues/322 
#
# Code source:
# https://github.com/SebastianGrans/ROS2-Point-Cloud-Demo/blob/79ef97fc92147a0d550543a69541139097cc3b35/pcd_demo/pcd_publisher/pcd_publisher_node.py

import rclpy
from rclpy.node import Node
import sensor_msgs.msg as sensor_msgs
import std_msgs.msg as std_msgs

3panda

Python 自作モジュールのパッケージ化

Pythonで作られた自作のモジュールのパッケージ化について調べました。

ゴール

自作ライブラリをProjectのフォルダーの中に入れずに利用できるようにする

前提条件

• Python 3.0以上

oddmutou

- name: ＴＯＫＹＯ　ＭＸ
  type: GR
  channel: '16'
- name: チバテレ
  type: GR
  channel: '17'
- name: ｔｖｋ
  type: GR
  channel: '18'
- name: テレ玉

tejaskhot

04379243 table 
03593526 jar
04225987 skateboard
02958343 car 
02876657 bottle
04460130 tower
03001627 chair
02871439 bookshelf
02942699 camera
02691156 airplane

kyrs

/*
  Following file take opencv mat file as an input and run inception model on it
  Created by : Kumar Shubham
  Date : 27-03-2016
*/

//Loading Opencv fIles for processing

#include <opencv2/opencv.hpp>

AriYu

DockerでROSを動かす Tutorials

roscoreを起動する

docker run -h master -it --rm --name master --env ROS_HOSTNAME=master osrf/ros:jade-desktop-full roscore

talkerを起動する

awesomebytes

#! /usr/bin/env python
# -*- coding: utf-8 -*-
"""
Created on 15/01/15
@author: Sammy Pfeiffer

# Software License Agreement (BSD License)
#
# Copyright (c) 2016, PAL Robotics, S.L.
# All rights reserved.

AminaKeldibek

The document provides description on calibration of three Kinect for Microsoft sensors connected to one computer with several usb controllers. Three cameras setup is shown below:

![Figure 1] (http://i.imgur.com/sdOWbVl.jpg)

Intrinsic, extrinsic, and Kinect2Kinect calibration is performed to know the position of each sensor in the space. Our setup is ROS Indigo with Ubuntu 14.04. freenect_launch and camera_pose ROS packages are used. Camera_pose package provides the pipeline to calibrate the relative 6D poses between multiple camera's. freenect_launch package contains launch files for using OpenNI-compliant devices in ROS. It creates a nodelet graph to transform raw data from the device driver into point clouds, disparity images, and other products suitable for processing and visualization. It is installed with catkin as follows:

# Prep

polamjag

// Amazon で使った金額の合計を出す奴
//
// 使い方: 
//   1. 全部コピーする (右上の Raw をクリックした先でやるのが楽)
//   2. Amazon の注文履歴ページ ( https://www.amazon.co.jp/gp/css/order-history/ ) を開く
//   3. F12 または 右クリ→要素の検証 とかで出てくる開発者ツールのコンソール (JavaScript REPL) にペースト
//   4. エンターで実行
//      (Firefox はなんか allow pasting とタイプしろみたいなことを言われるので従う)
//   5. しばらく待つと alert で合計金額を表示
//