doleron

#!/bin/bash

###################################################################################################
# Bash script to import CMake project from Github and create local Eclipse CDT compatible project #
#                                                                                                 #
# The CMake Eclipse CDT strategy was taken from here: https://stackoverflow.com/a/9663686/3055724 #
# After run this script you need to import the project in eclipse:                                #
# File->Import->C/C++->Existing code as Makefile Project->Next                                    #
# Tested in Eclise Oxygen and Luna                                                                #
###################################################################################################

doleron

void setup() {
  Serial.begin(9600);
}

void loop() {
  byte close[] = {0xA0, 0x01, 0x01, 0xA2};
  Serial.write(close, sizeof(close)); 
  delay(2000); 
  
  byte open[] = {0xA0, 0x01, 0x00, 0xA1};

doleron

// inverse kinematics
 // helper functions, calculates angle theta1 (for YZ-pane)
 int delta_calcAngleYZ(float x0, float y0, float z0, float &theta) {
     float y1 = -0.5 * 0.57735 * f; // f/2 * tg 30
     y0 -= 0.5 * 0.57735    * e;    // shift center to edge
     // z = a + b*y
     float a = (x0*x0 + y0*y0 + z0*z0 +rf*rf - re*re - y1*y1)/(2*z0);
     float b = (y1-y0)/z0;
     // discriminant
     float d = -(a+b*y1)*(a+b*y1)+rf*(b*b*rf+rf); 

doleron

how to synchronize your fork with the original github repo

considering:

• https://github.com/whoever/whatever.git is the address of original repo
• https://github.com/youraccount/whatever.git is the address of fork repo

The first option is to merge your fork with the original repo

clone your fork if you haven't cloned already

doleron

This instructions are intended to run on any linux debian, using Ubuntu 20.04 here.

The ECLiPSe prolog website is https://eclipseclp.org/index.html

Disclaimer: ECLiPSe prolog is not Eclipse IDE !

pre flight

as usual, update the machine

doleron

import cv2

net = cv2.dnn.readNet('yolov5s.onnx')

doleron

#include <opencv2/opencv.hpp>

int main(int, char **)
{
    auto net = cv::dnn::readNet("yolov5s.onnx");
    
    return 0;
}

doleron

def format_yolov5(source):

    # put the image in square big enough
    col, row, _ = source.shape
    _max = max(col, row)
    resized = np.zeros((_max, _max, 3), np.uint8)
    resized[0:col, 0:row] = source
    
    # resize to 640x640, normalize to [0,1[ and swap Red and Blue channels
    result = cv2.dnn.blobFromImage(resized, 1/255.0, (640, 640), swapRB=True)

doleron

cv::Mat format_yolov5(const cv::Mat &source) {
  
    // put the image in a square big enough
    int col = source.cols;
    int row = source.rows;
    int _max = MAX(col, row);
    cv::Mat resized = cv::Mat::zeros(_max, _max, CV_8UC3);
    source.copyTo(resized(cv::Rect(0, 0, col, row)));
    
    // resize to 640x640, normalize to [0,1[ and swap Red and Blue channels

doleron

predictions = net.forward()
output = predictions[0]