Update doc

Author: lizekai-richard

book/metrics/hard-label.html

@@ -249,7 +249,7 @@ <h4 id="returns"><a class="header" href="#returns">Returns</a></h4>
 # compute the metrics
 &gt;&gt;&gt; evaluator.compute_metrics(image_tensor=image_tensor, hard_labels=hard_labels)
 # alternatively, you can provide the image path
-&gt;&gt;&gt; evaluator.compute_metrics(image_path='path/to/image.png', hard_labels=hard_labels)
+&gt;&gt;&gt; evaluator.compute_metrics(image_path='path/to/image/folder/', hard_labels=hard_labels)
 </code></pre>
 <p>with keyword arguments:</p>
 <pre><code class="language-python">&gt;&gt;&gt; evaluator = HardLabelEvaluator(
@@ -279,7 +279,7 @@ <h4 id="returns"><a class="header" href="#returns">Returns</a></h4>
 # compute the metrics
 &gt;&gt;&gt; evaluator.compute_metrics(image_tensor=image_tensor, hard_labels=hard_labels)
 # alternatively, you can provide the image path
-&gt;&gt;&gt; evaluator.compute_metrics(image_path='path/to/image.png', hard_labels=hard_labels)
+&gt;&gt;&gt; evaluator.compute_metrics(image_path='path/to/image/folder/', hard_labels=hard_labels)
 </code></pre>
 
                     </main>

book/metrics/soft-label.html

@@ -265,7 +265,7 @@ <h3 id="examples"><a class="header" href="#examples">Examples</a></h3>
 # compute metrics
 &gt;&gt;&gt; evaluator.compute_metrics(image_tensor=image_tensor, soft_labels=soft_labels)
 # alternatively, provide image path
-&gt;&gt;&gt; evaluator.compute_metrics(image_path='path/to/image.jpg', soft_labels=soft_labels) 
+&gt;&gt;&gt; evaluator.compute_metrics(image_path='path/to/image/folder/', soft_labels=soft_labels) 
 </code></pre>
 <p>with keyword arguments:</p>
 <pre><code class="language-python">&gt;&gt;&gt; evaluator = SoftLabelEvaluator(
@@ -292,7 +292,7 @@ <h3 id="examples"><a class="header" href="#examples">Examples</a></h3>
 # compute metrics
 &gt;&gt;&gt; evaluator.compute_metrics(image_tensor=image_tensor, soft_labels=soft_labels)
 # alternatively, provide image path
-&gt;&gt;&gt; evaluator.compute_metrics(image_path='path/to/image.jpg', soft_labels=soft_labels) 
+&gt;&gt;&gt; evaluator.compute_metrics(image_path='path/to/image/folder/', soft_labels=soft_labels) 
 </code></pre>
 
                     </main>

book/print.html

@@ -406,7 +406,7 @@ <h4 id="returns"><a class="header" href="#returns">Returns</a></h4>
 # compute the metrics
 &gt;&gt;&gt; evaluator.compute_metrics(image_tensor=image_tensor, hard_labels=hard_labels)
 # alternatively, you can provide the image path
-&gt;&gt;&gt; evaluator.compute_metrics(image_path='path/to/image.png', hard_labels=hard_labels)
+&gt;&gt;&gt; evaluator.compute_metrics(image_path='path/to/image/folder/', hard_labels=hard_labels)
 </code></pre>
 <p>with keyword arguments:</p>
 <pre><code class="language-python">&gt;&gt;&gt; evaluator = HardLabelEvaluator(
@@ -436,7 +436,7 @@ <h4 id="returns"><a class="header" href="#returns">Returns</a></h4>
 # compute the metrics
 &gt;&gt;&gt; evaluator.compute_metrics(image_tensor=image_tensor, hard_labels=hard_labels)
 # alternatively, you can provide the image path
-&gt;&gt;&gt; evaluator.compute_metrics(image_path='path/to/image.png', hard_labels=hard_labels)
+&gt;&gt;&gt; evaluator.compute_metrics(image_path='path/to/image/folder/', hard_labels=hard_labels)
 </code></pre>
 <div style="break-before: page; page-break-before: always;"></div><h2 id="softlabelevaluator"><a class="header" href="#softlabelevaluator">SoftLabelEvaluator</a></h2>
 <div style="background-color:#F7F7F7; padding:15px; border:1px solid #E0E0E0; border-top:3px solid #FF0000; font-family:monospace; font-size:14px;">
@@ -548,7 +548,7 @@ <h3 id="examples"><a class="header" href="#examples">Examples</a></h3>
 # compute metrics
 &gt;&gt;&gt; evaluator.compute_metrics(image_tensor=image_tensor, soft_labels=soft_labels)
 # alternatively, provide image path
-&gt;&gt;&gt; evaluator.compute_metrics(image_path='path/to/image.jpg', soft_labels=soft_labels) 
+&gt;&gt;&gt; evaluator.compute_metrics(image_path='path/to/image/folder/', soft_labels=soft_labels) 
 </code></pre>
 <p>with keyword arguments:</p>
 <pre><code class="language-python">&gt;&gt;&gt; evaluator = SoftLabelEvaluator(
@@ -575,7 +575,7 @@ <h3 id="examples"><a class="header" href="#examples">Examples</a></h3>
 # compute metrics
 &gt;&gt;&gt; evaluator.compute_metrics(image_tensor=image_tensor, soft_labels=soft_labels)
 # alternatively, provide image path
-&gt;&gt;&gt; evaluator.compute_metrics(image_path='path/to/image.jpg', soft_labels=soft_labels) 
+&gt;&gt;&gt; evaluator.compute_metrics(image_path='path/to/image/folder/', soft_labels=soft_labels) 
 </code></pre>
 <div style="break-before: page; page-break-before: always;"></div><h2 id="generalevaluator"><a class="header" href="#generalevaluator">GeneralEvaluator</a></h2>
 <div style="background-color:#F7F7F7; padding:15px; border:1px solid #E0E0E0; border-top:3px solid #FF0000; font-family:monospace; font-size:14px;">