billyzs

function [ imu_data, gps_data ] = load_imu_data( file_name )
%load data from txt file containing IMU output
%written by Shao Zhou billyzs.728[at] gmail.com
%   imu_data is n * 13 matrix that contains data fileds in the following sequence:
%   Time
%   Acceleration (x, y, z) in m/s
%   Angular Velocity (p, q, r) in rad/s
%   Magnetic field strength (x, y, z) in muT
%   Roll, Pitch, Yaw in deg

billyzs

#!/usr/bin/env python
import numpy as np
import cv2


CRITERIA = (cv2.TERM_CRITERIA_MAX_ITER + cv2.TERM_CRITERIA_EPS, 5, 1.0)
YCBCR_BLACK = np.array([[0, 128, 128]], dtype='uint8')

def k_means(img, k, criteria=CRITERIA, show=False, attempts=5):
    """

billyzs

#include "stdafx.h"
#include "util.h"
#include "stdafx.h"
#include <iostream>
#include <fstream>
#include <string>
#include <map>
#include <vector>
#include <cstdio>
#include <sstream>

billyzs

#!/usr/bin/env python

# A script to generate spherical rendering of STL Files
# Use with python STL_viewer.py /path/to/folder
# or python STL_viewer.py /path/to/file

# Written by Billy Zhou (billyzs.728 # gmail.com)

import vtk
import argparse, os

billyzs

#!/usr/bin/env python

import sys
import rospy
import cv2
import numpy as np
# from std_msgs.msg import String
from sensor_msgs.msg import Image, PointCloud2
from cv_bridge import CvBridge, CvBridgeError

billyzs

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