Question

我没有在表格中给出确切的按钮数，因为当我在表格中添加一行时，当我点击编辑按钮时，它给了我2个按钮计数，其中表格中只有一个按钮，还有一个它也给出了当我想检查在表格中点击或不点击编辑按钮时，我会出现一些伪错误

$(document).ready(function() {
    var count = 1;
    $("#submit_Button").on('click', function() {
        var fname_Field = $("#fname1").val();
        var lname_Field = $("#lname1").val();
        var address_Field = $("#address1").val();

        if ($("#fname1").val() == null || $("#fname1").val() == "" && $("#lname1").val() == null || $("#lname1").val() == "" && $("#address1").val() == null || $("#address1").val() == "") {
            alert("Please fill the form");
        }

        $(".above_Info").append('<tr><td>' + count + '</td><td>' + fname_Field + '</td><td>' + lname_Field + '</td><td>' + address_Field + '</td><td><input type="button" name="edit" id="edit_Button" value="Edit"/></td></tr>');
        count++;
    });

    $(document).on('click', "input[type=button]", function() {
        alert("I am in edit button");
        var button_Count = $("input[type=button]").length;
        alert(button_Count);
        if ($("input[type=button]").is(":clicked")) {
            alert("I am in button");
        }
    });
});

.form {
    margin-left: 200px;
}

#address1 {
    margin-left: 25px;
}

#fname1,
#lname1 {
    margin-left: 9px;
}

#submit_Button {
    margin-left: 95px;
}

.above_Info {
    margin-left: 200px;
    width: auto;
    height: auto;
    border: 1px solid #000;
}

<form name="myForm" class="form">
    First Name : <input type="text" name="fname" id="fname1" /><br /> 
    Last Name : <input type="text" name="lname" id="lname1" /><br /> 
    Address : <input type="text" name="address" id="address1" /><br /><br /><br />
    <input type="button" name="Submit" value="Submit" id="submit_Button" />
</form><br /><br /><br />
<table class="above_Info"></table>

Answer 1

您尝试获取#include <ros/ros.h> #include <image_transport/image_transport.h> #include <cv_bridge/cv_bridge.h> #include <cstdio> #include <cstdlib> #include <opencv2/opencv.hpp> #include <opencv2/core/core.hpp> #include <opencv2/highgui/highgui.hpp> #include <opencv2/imgproc/imgproc.hpp> #include "std_msgs/Int8.h" #include <stdio.h> using namespace cv; using namespace std; /// Global Variables Mat img; Mat templ; Mat result; char const* image_window = "Source Image"; char const* result_window = "Result window"; int match_method; int max_Trackbar = 5; // This is the position of line in the image int line_position = 0; void MatchingMethod( int, void* ) { /// Source image to display Mat img_display; img.copyTo( img_display ); int image_width = img.cols; /// Create the result matrix int result_cols = img.cols - templ.cols + 1; int result_rows = img.rows - templ.rows + 1; result.create( result_rows, result_cols, CV_32FC1 ); /// Do the Matching and Normalize matchTemplate( img, templ, result, match_method ); normalize( result, result, 0, 1, NORM_MINMAX, -1, Mat() ); /// Localizing the best match with minMaxLoc double minVal; double maxVal; Point minLoc; Point maxLoc; Point matchLoc; minMaxLoc( result, &minVal, &maxVal, &minLoc, &maxLoc, Mat() ); /// For SQDIFF and SQDIFF_NORMED, the best matches are lower values. For all the other methods, the higher the better if ( match_method == CV_TM_SQDIFF || match_method == CV_TM_SQDIFF_NORMED ) { matchLoc = minLoc; } else { matchLoc = maxLoc; } /// Show me what you got rectangle( img_display, matchLoc, Point( matchLoc.x + templ.cols , matchLoc.y + templ.rows ), Scalar::all(255), 2, 8, 0 ); rectangle( result, matchLoc, Point( matchLoc.x + templ.cols , matchLoc.y + templ.rows ), Scalar::all(255), 2, 8, 0 ); imshow( image_window, img_display ); imshow( result_window, result ); return; } void imageCallback(const sensor_msgs::ImageConstPtr& msg) { templ = imread("/home/davon/catkin_ws/src/test/src/temp1.png"); /// Create windows namedWindow( image_window, CV_WINDOW_AUTOSIZE ); namedWindow( result_window, CV_WINDOW_AUTOSIZE ); /// Create Trackbar char const* trackbar_label = "Method: \n 0: SQDIFF \n 1: SQDIFF NORMED \n 2: TM CCORR \n 3: TM CCORR NORMED \n 4: TM COEFF \n 5: TM COEFF NORMED"; createTrackbar( trackbar_label, image_window, &match_method, max_Trackbar, MatchingMethod ); try { img = cv_bridge::toCvShare(msg, "bgr8")->image; MatchingMethod( 0, 0 ); waitKey(30); } catch (cv_bridge::Exception& e) { ROS_ERROR("Could not convert from '%s' to 'bgr8'.", msg->encoding.c_str()); } }//end of ImageCallback int main(int argc, char **argv) { ros::init(argc, argv, "image_listener"); ros::NodeHandle nh; cv::startWindowThread(); image_transport::ImageTransport it(nh); image_transport::Subscriber sub = it.subscribe("ardrone/front/image_raw", 1, imageCallback); ros::init(argc, argv, "line_position"); ros::NodeHandle n; ros::Publisher chatter_pub = n.advertise<std_msgs::Int8>("line_position", 30); ros::Rate loop_rate(30); while (ros::ok()) { std_msgs::Int8 position; position.data = line_position; ROS_INFO("%d", position.data); chatter_pub.publish(position); ros::spinOnce(); loop_rate.sleep(); } ros::spin(); }而不是像这样使用last index并递增它吗？

count

它没有给我jQuery

1 个答案: