update ar-benchmark

AR-Benchmark/ImageTarget.html

@@ -43,7 +43,7 @@ <h3>Introduction</h3>
             <p>
               This is a dataset for image target detection and tracking. We use the motion trackin device 'VICON' to record the groundtruth pose of camrera. And we collect 10 different types of motion data to evaluation the performance of algorithm of image target. We think it would benifit to the area of image target AR.
             <br><br>
-            You can download our dataset from <a href="">here</a>.
+            You can download our dataset from <a href=" https://pan.baidu.com/s/1GMkUakXoMVGoYX8s3VDj0Q?pwd=jgw9">here</a>.
           </p>
           </p>
         </div>

AR-Benchmark/VISLAM.html

@@ -88,7 +88,7 @@ <h3>Dataset Preview</h3>
             </p>
             <div class="col-12 text-center">
               <div class="embed-responsive embed-responsive-16by9">
-            <iframe width="640" height="480" src="https://www.youtube.com/embed/VJcJwIYVo4A" title="YouTube video player" frameborder="0" allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share" allowfullscreen></iframe>
+            <iframe width="640" height="480" src="https://www.youtube.com/watch?v=spSovHgnGoU" title="YouTube video player" frameborder="0" allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share" allowfullscreen></iframe>
             </div>
             </div>
             <div class="table center add-top-margin-small">