我会尽可能清楚地解释自己。
我想做什么?
当scrollTop值大于40时,我试图使段落的不透明度为1,并且当scrollTop值小于40时,再次使段落的不透明度为0。(所以基本上当用户向下滚动文本时,当它们再次向上滚动时它会消失);
我的问题是什么?
使用jQuery效果fadeTo("slow", 1)
,当scrollTop值大于40时,我可以使文本消失。但是,当scrollTop的值小于40时,我无法再次消失。
注意:默认情况下,我将段落的不透明度设置为0。
这是我在codePen上的当前代码的链接 http://codepen.io/kevin1616/pen/reLgQZ
$(window).scroll(function() {
var scrollPosition = $(this).scrollTop();
console.log(scrollPosition);
if (scrollPosition > 40) {
// apply effects and animations
$('p').fadeTo("slow",1);
} else if(scrollPosition < 40){
// apply effects and animations
$('p').fadeTo("slow",0);
}
});
答案 0 :(得分:0)
希望这可以帮助你!
#include "opencv2/objdetect/objdetect.hpp"
#include "opencv2/highgui/highgui.hpp"
#include "opencv2/imgproc/imgproc.hpp"
#include <iostream>
#include <stdio.h>
using namespace std;
using namespace cv;
/** Function Headers */
void detectAndDisplay( Mat frame);
/** Global variables */
String face_cascade_name = "haarcascade_frontalface_alt.xml";
String eyes_cascade_name = "haarcascade_eye_tree_eyeglasses.xml";
CascadeClassifier face_cascade;
CascadeClassifier eyes_cascade;
string window_name = "Capture - Face detection";
RNG rng(12345);
double fps;
/** @function main */
int main( int argc, const char** argv )
{
VideoCapture cap("/home/pradeep/Downloads/President Obama Lectures Romney.mp4"); // open the video file for reading
if ( !cap.isOpened() ) // if not success, exit program
{
cout << "Cannot open the video file" << endl;
return -1;
}
//-- 1. Load the cascades
if( !face_cascade.load( face_cascade_name ) ){ printf("--(!)Error loading\n"); return -1; };
if( !eyes_cascade.load( eyes_cascade_name ) ){ printf("--(!)Error loading\n"); return -1; };
fps = cap.get(CV_CAP_PROP_FPS); //get the frames per seconds of the video
cout << "Frame per seconds : " << fps << endl;
double dWidth = cap.get(CV_CAP_PROP_FRAME_WIDTH);
double dHeight = cap.get(CV_CAP_PROP_FRAME_HEIGHT);
Size S(dWidth,dHeight);
while(1)
{
Mat frame;
int skip_frame = 4;
while(skip_frame)
{
bool bSuccess = cap.read(frame); // read a new frame from video
skip_frame--;
if (!bSuccess) //if not success, break loop
{
cout << "Cannot read the frame from video file" << endl;
break;
}
}
//-- 3. Apply the classifier to the frame
if( frame.empty() )
{ printf(" --(!) No captured frame -- Break!"); break; }
std::vector<Rect> faces;
Mat frame_gray;
cvtColor( frame, frame_gray, CV_BGR2GRAY );
equalizeHist( frame_gray, frame_gray );
//-- Detect faces
face_cascade.detectMultiScale( frame_gray, faces, 1.3, 5, 0|CV_HAAR_SCALE_IMAGE, Size(30, 30) );
for( size_t i = 0; i < faces.size(); i++ )
{
Point center( faces[i].x + faces[i].width*0.5, faces[i].y + faces[i].height*0.5 );
ellipse( frame, center, Size( faces[i].width*0.5, faces[i].height*0.5), 0, 0, 360, Scalar( 255, 0, 255 ), 4, 8, 0 );
Mat faceROI = frame_gray( faces[i] );
std::vector<Rect> eyes;
//-- In each face, detect eyes
eyes_cascade.detectMultiScale( faceROI, eyes, 1.1, 0, 0 |CV_HAAR_SCALE_IMAGE, Size(30, 30) );
for( size_t j = 0; j < eyes.size(); j++ )
{
Point center( faces[i].x + eyes[j].x + eyes[j].width*0.5, faces[i].y + eyes[j].y + eyes[j].height*0.5 );
int radius = cvRound( (eyes[j].width + eyes[j].height)*0.25 );
circle( frame, center, radius, Scalar( 255, 0, 0 ), 4, 8, 0 );
}
}
VideoWriter Video("face_output.avi", CV_FOURCC('M','J','P','G'), fps, S, true);
if(!Video.isOpened())
{
printf("unable to write video file");
}
Video.write(frame);
//-- Show what you got
imshow( window_name, frame );
int c = waitKey(10);
if( (char)c == 'c' ) { break; }
}
return 0;
}
我确信使用切换有更好的解决方案。