BuckyI

import matplotlib.pyplot as plt
import torch
import torch.nn as nn
import torch.nn.functional as F
from sklearn.datasets import load_iris
from sklearn.model_selection import train_test_split

iris = load_iris()
X = iris["data"]
y = iris["target"]

BuckyI

#include <stdexcept>
#include <cmath>
namespace complex_numbers
{
    class Complex
    {
    private:
        double _real;
        double _imag;
    public:

BuckyI

import matplotlib.pyplot as plt
import numpy as np
from scipy.optimize import curve_fit

X0 = 1  # 传感器摆放间距


def illuminate(idx, x, y, intensity):
    """模拟光敏传感器阵列的输出"""
    theta = np.arctan2(idx * X0 - x, y)  # incoming angle

BuckyI

"""
Basic operations based on sensor SDK tutorial
https://learn.microsoft.com/zh-cn/azure/kinect-dk/about-sensor-sdk
Note some code utilize pykinect_azure's wrapper instead of low level SDK
"""
import cv2
import matplotlib.pyplot as plt
import pykinect_azure as pykinect
from pykinect_azure.k4a import _k4a

BuckyI

Explain

Mean-Difference plot, or Bland–Altman plot can be used to compare the prediction accuracy.

Bland and Altman drive the point that any two methods that are designed to measure the same parameter (or property) should have good correlation when a set of samples are chosen such that the property to be determined varies considerably.

This is how they looks:

BuckyI

cmake_minimum_required(VERSION 3.8)
project(moverobot)

if(CMAKE_COMPILER_IS_GNUCXX OR CMAKE_CXX_COMPILER_ID MATCHES "Clang")
  add_compile_options(-Wall -Wextra -Wpedantic)
endif()

# find dependencies
find_package(ament_cmake REQUIRED)
find_package(rclcpp REQUIRED)

BuckyI

from moveit_configs_utils import MoveItConfigsBuilder
from moveit_configs_utils.launches import generate_demo_launch


def generate_launch_description():
    moveit_config = MoveItConfigsBuilder(
        "ec66", package_name="elite_moveit_config"
    ).to_moveit_configs()
    """"
    What does `generate_demo_launch` do:

BuckyI

import os
from launch import LaunchDescription
from launch.actions import DeclareLaunchArgument, OpaqueFunction
from launch.substitutions import LaunchConfiguration, PathJoinSubstitution
from launch.conditions import IfCondition, UnlessCondition
from launch_ros.actions import Node
from launch_ros.substitutions import FindPackageShare
from launch.actions import ExecuteProcess
from ament_index_python.packages import get_package_share_directory
from moveit_configs_utils import MoveItConfigsBuilder

BuckyI

正则表达式匹配

[0-9a-f]{8}(-[0-9a-f]{4}){3}-[0-9a-f]{12} uuid

import re

string = "Hello.mp4"
re.sub(r"(.*?)\.", "\g<1> - YouTube.", string)
# 'Hello - YouTube.mp4'

BuckyI

import logging

# 创建一个输出到本地的 Handler
# 首先通过 basicConfig 赋予 rootLogger 一个 StreamHandler
# 然后自定义一个 FileHandler 赋予 rootLogger
# 为什么不自定义一个 StreamHandler 再赋予 rotLogger 是因为感觉这样省事
logging.basicConfig(level=logging.DEBUG,
                        format='%(asctime)s - %(levelname)s: %(message)s')
handler = logging.FileHandler("logname.log")
handler.setLevel(logging.INFO)