mpkuse

/// Inputs : [ (x0,y0), (x1,y1), .... ].
// The loss-function is going to be the usual square-error. Which we try to minimize.
///     Will fit a linear function.
// Adopted from : https://github.com/mpkuse/advanced_techniques_for_curvefitting/blob/master/line_fitting.cpp

#include <iostream>
#include <Eigen/Core>

using namespace std;

mpkuse

ROS Python Snippets

My collection of python snippets.

• bare_plot.py: Publish a marker message.

mpkuse

Tools and Utilities for USB-TTL Communication

On Linux, USB devices comeup as files under /dev/ttyUSB0 and so on. One can create custom USB devices (with little bit of hardware tinkering). These devices can be based on USB-TTL converters. These are available with USB-A, mini-USB, micro-USB. These devices are almost invariably uses FTDI chips. Can use the program FT_Prog to flash the ftdi chip to set your own custom device names. It is also possible to use libftdi for more hardcore stuff. Documentation is sparse though. Need to look at examples. For power users, one can build a custom board (PCB) with ftdi chips. There are several FTDI chips available which is able to carry out highspeed USB-3 communication.

mpkuse

Lot of people have been having issues plotting an ellipse in opencv. Some of the errors one gets are:

TypeError: function takes exactly 3 arguments (2 given)

TypeError: ellipse() takes at most 5 arguments (6 given)

Here is my working code for plotting ellipse in opencv 3 python. I have tested on my Ubuntu 16.04 PC with OpenCV version '3.1.0-dev'.

mpkuse

import rosbag
from cv_bridge import CvBridge, CvBridgeError
import cv2

# Input : A ros-bag
# Output : Save the image msg as individual images. Edit as appropriate.

bag = rosbag.Bag('banana.bag')
for topic, msg, t in bag.read_messages(topics=['/mynteye/right/image_raw']):
    # print msg

mpkuse

import serial 
import pynmea2
import collections
def signal_handle( sig, frame ):
    # Save JSON 
    import json 
    with open( '/home/mpkuse/try/gps_nmea/data.json', 'w' ) as outfile:
            json.dump( ARY, outfile )
    exit(0)

mpkuse

/**
 * Copyright (c) 2015-present, Facebook, Inc.
 * All rights reserved.
 *
 * This source code is licensed under the BSD+Patents license found in the
 * LICENSE file in the root directory of this source tree.
 */

#include <cstdio>
#include <cstdlib>

mpkuse

#pragma once
#include <iostream>

#include <string>


class ImageNetLabels {
public:
  ImageNetLabels()
  {

mpkuse

tensorflow-issue

mpkuse

import cv2
import numpy as np




def convert_3x3_1x1__to__4x4(fname, outfname, outvarname ):
    ## READ YAML OPENCV
    print( 'fname: ', fname )
    fs = cv2.FileStorage(fname, cv2.FILE_STORAGE_READ)