Deploying to gh-pages from @ d815c83 🚀

dev/mode/.buildinfo

@@ -1,4 +1,4 @@
 # Sphinx build info version 1
 # This file hashes the configuration used when building these files. When it is not found, a full rebuild will be done.
-config: 782f8260f8597b3b03dd307f7266192d
+config: 86fa2b1f55b795331fdb4b94b3739e57
 tags: 645f666f9bcd5a90fca523b33c5a78b7

dev/mode/.doctrees/nbsphinx/information/environment.ipynb

@@ -29,10 +29,10 @@
    "execution_count": 1,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-01-26T02:52:59.218044Z",
-     "iopub.status.busy": "2024-01-26T02:52:59.217842Z",
-     "iopub.status.idle": "2024-01-26T02:53:00.388833Z",
-     "shell.execute_reply": "2024-01-26T02:53:00.388031Z"
+     "iopub.execute_input": "2024-01-26T03:08:56.961646Z",
+     "iopub.status.busy": "2024-01-26T03:08:56.961442Z",
+     "iopub.status.idle": "2024-01-26T03:08:58.136914Z",
+     "shell.execute_reply": "2024-01-26T03:08:58.136141Z"
     },
     "pycharm": {
      "name": "#%%\n"
@@ -53,7 +53,7 @@
      "text": [
       "CPU Brand: AMD EPYC 7763 64-Core Processor\n",
       "CPU Count: 4\n",
-      "CPU Freq: 2740.9449999999997 MHz\n",
+      "CPU Freq: 2918.7774999999997 MHz\n",
       "Memory Size: 15.607 GiB\n",
       "Has CUDA: No\n"
      ]

dev/mode/.doctrees/nbsphinx/information/environment.result.ipynb

@@ -29,10 +29,10 @@
    "execution_count": 1,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-01-26T02:52:04.571806Z",
-     "iopub.status.busy": "2024-01-26T02:52:04.571607Z",
-     "iopub.status.idle": "2024-01-26T02:52:05.746489Z",
-     "shell.execute_reply": "2024-01-26T02:52:05.745694Z"
+     "iopub.execute_input": "2024-01-26T03:08:03.407000Z",
+     "iopub.status.busy": "2024-01-26T03:08:03.406798Z",
+     "iopub.status.idle": "2024-01-26T03:08:04.577896Z",
+     "shell.execute_reply": "2024-01-26T03:08:04.577152Z"
     },
     "pycharm": {
      "name": "#%%\n"
@@ -53,7 +53,7 @@
      "text": [
       "CPU Brand: AMD EPYC 7763 64-Core Processor\n",
       "CPU Count: 4\n",
-      "CPU Freq: 3010.28825 MHz\n",
+      "CPU Freq: 2945.213 MHz\n",
       "Memory Size: 15.607 GiB\n",
       "Has CUDA: No\n"
      ]

dev/mode/_modules/sdeval/controllability/bikini_plus.html

@@ -551,7 +551,8 @@ <h1>Source code for sdeval.controllability.bikini_plus</h1><div class="highlight
         <span class="p">])</span>
         <span class="k">return</span> <span class="p">((</span><span class="n">vs</span> <span class="o">*</span> <span class="n">ws</span><span class="p">)</span><span class="o">.</span><span class="n">sum</span><span class="p">()</span> <span class="o">/</span> <span class="n">ws</span><span class="o">.</span><span class="n">sum</span><span class="p">())</span><span class="o">.</span><span class="n">item</span><span class="p">()</span>
 
-<div class="viewcode-block" id="BikiniPlusMetrics.score"><a class="viewcode-back" href="../../../api_doc/controllability/bikini_plus.html#sdeval.controllability.bikini_plus.BikiniPlusMetrics.score">[docs]</a>    <span class="k">def</span> <span class="nf">score</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">images</span><span class="p">:</span> <span class="n">PromptedImagesTyping</span><span class="p">,</span> <span class="n">silent</span><span class="p">:</span> <span class="nb">bool</span> <span class="o">=</span> <span class="kc">False</span><span class="p">):</span>
+<div class="viewcode-block" id="BikiniPlusMetrics.score"><a class="viewcode-back" href="../../../api_doc/controllability/bikini_plus.html#sdeval.controllability.bikini_plus.BikiniPlusMetrics.score">[docs]</a>    <span class="k">def</span> <span class="nf">score</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">images</span><span class="p">:</span> <span class="n">PromptedImagesTyping</span><span class="p">,</span> <span class="n">silent</span><span class="p">:</span> <span class="nb">bool</span> <span class="o">=</span> <span class="kc">False</span><span class="p">,</span>
+              <span class="n">mode</span><span class="p">:</span> <span class="n">Literal</span><span class="p">[</span><span class="s1">&#39;mean&#39;</span><span class="p">,</span> <span class="s1">&#39;seq&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="s1">&#39;mean&#39;</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Union</span><span class="p">[</span><span class="nb">float</span><span class="p">,</span> <span class="n">np</span><span class="o">.</span><span class="n">ndarray</span><span class="p">]:</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;</span>
 <span class="sd">        Calculate the average bikini plus score for a set of images.</span>
 
@@ -561,18 +562,27 @@ <h1>Source code for sdeval.controllability.bikini_plus</h1><div class="highlight
 <span class="sd">        :type images: PromptedImagesTyping</span>
 <span class="sd">        :param silent: If True, suppresses progress bars and additional output during calculation. Default is False.</span>
 <span class="sd">        :type silent: bool</span>
+<span class="sd">        :param mode: Mode of the return value. Return a float value when ``mean`` is assigned,</span>
+<span class="sd">                    return a numpy array when ``seq`` is assigned. Default is ``mean``.</span>
+<span class="sd">        :type mode: Literal[&#39;mean&#39;, &#39;seq&#39;]</span>
 
 <span class="sd">        :return: The average bikini plus score for the set of images.</span>
-<span class="sd">        :rtype: float</span>
+<span class="sd">        :rtype: Union[float, np.ndarray]</span>
 <span class="sd">        &quot;&quot;&quot;</span>
         <span class="n">image_list</span> <span class="o">=</span> <span class="nb">list</span><span class="p">(</span><span class="n">_yield_images</span><span class="p">(</span><span class="n">images</span><span class="p">))</span>
         <span class="k">if</span> <span class="ow">not</span> <span class="n">image_list</span><span class="p">:</span>
             <span class="k">raise</span> <span class="ne">FileNotFoundError</span><span class="p">(</span><span class="sa">f</span><span class="s1">&#39;Images for calculating bikini plus score not provided - </span><span class="si">{</span><span class="n">images</span><span class="si">}</span><span class="s1">.&#39;</span><span class="p">)</span>
 
-        <span class="k">return</span> <span class="n">np</span><span class="o">.</span><span class="n">array</span><span class="p">([</span>
+        <span class="n">score</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">array</span><span class="p">([</span>
             <span class="bp">self</span><span class="o">.</span><span class="n">_calculate_one_image</span><span class="p">(</span><span class="n">img</span><span class="p">,</span> <span class="n">prompt</span><span class="p">,</span> <span class="n">neg_prompt</span><span class="p">)</span>
             <span class="k">for</span> <span class="n">img</span><span class="p">,</span> <span class="n">prompt</span><span class="p">,</span> <span class="n">neg_prompt</span> <span class="ow">in</span> <span class="n">tqdm</span><span class="p">(</span><span class="n">image_list</span><span class="p">,</span> <span class="n">silent</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">silent</span> <span class="k">if</span> <span class="n">silent</span> <span class="ow">is</span> <span class="kc">None</span> <span class="k">else</span> <span class="n">silent</span><span class="p">)</span>
-        <span class="p">])</span><span class="o">.</span><span class="n">mean</span><span class="p">()</span><span class="o">.</span><span class="n">item</span><span class="p">()</span></div></div>
+        <span class="p">])</span>
+        <span class="k">assert</span> <span class="n">score</span><span class="o">.</span><span class="n">shape</span> <span class="o">==</span> <span class="p">(</span><span class="nb">len</span><span class="p">(</span><span class="n">image_list</span><span class="p">),)</span>
+
+        <span class="k">if</span> <span class="n">mode</span> <span class="o">==</span> <span class="s1">&#39;seq&#39;</span><span class="p">:</span>
+            <span class="k">return</span> <span class="n">score</span>
+        <span class="k">else</span><span class="p">:</span>
+            <span class="k">return</span> <span class="n">score</span><span class="o">.</span><span class="n">mean</span><span class="p">()</span><span class="o">.</span><span class="n">item</span><span class="p">()</span></div></div>
 </pre></div>
 
 

dev/mode/_modules/sdeval/corrupt/aicorrupt.html

@@ -176,7 +176,7 @@ <h1>Source code for sdeval.corrupt.aicorrupt</h1><div class="highlight"><pre>
 <span class="sd">&quot;&quot;&quot;</span>
 <span class="kn">import</span> <span class="nn">json</span>
 <span class="kn">from</span> <span class="nn">functools</span> <span class="kn">import</span> <span class="n">lru_cache</span>
-<span class="kn">from</span> <span class="nn">typing</span> <span class="kn">import</span> <span class="n">Tuple</span><span class="p">,</span> <span class="n">Optional</span><span class="p">,</span> <span class="n">Mapping</span>
+<span class="kn">from</span> <span class="nn">typing</span> <span class="kn">import</span> <span class="n">Tuple</span><span class="p">,</span> <span class="n">Optional</span><span class="p">,</span> <span class="n">Mapping</span><span class="p">,</span> <span class="n">Literal</span><span class="p">,</span> <span class="n">Union</span>
 
 <span class="kn">import</span> <span class="nn">numpy</span> <span class="k">as</span> <span class="nn">np</span>
 <span class="kn">from</span> <span class="nn">PIL</span> <span class="kn">import</span> <span class="n">Image</span>
@@ -313,7 +313,8 @@ <h1>Source code for sdeval.corrupt.aicorrupt</h1><div class="highlight"><pre>
         <span class="bp">self</span><span class="o">.</span><span class="n">silent</span> <span class="o">=</span> <span class="n">silent</span>
         <span class="bp">self</span><span class="o">.</span><span class="n">tqdm_desc</span> <span class="o">=</span> <span class="n">tqdm_desc</span> <span class="ow">or</span> <span class="bp">self</span><span class="o">.</span><span class="vm">__class__</span><span class="o">.</span><span class="vm">__name__</span></div>
 
-<div class="viewcode-block" id="AICorruptMetrics.score"><a class="viewcode-back" href="../../../api_doc/corrupt/aicorrupt.html#sdeval.corrupt.aicorrupt.AICorruptMetrics.score">[docs]</a>    <span class="k">def</span> <span class="nf">score</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">images</span><span class="p">:</span> <span class="n">ImagesTyping</span><span class="p">,</span> <span class="n">silent</span><span class="p">:</span> <span class="nb">bool</span> <span class="o">=</span> <span class="kc">None</span><span class="p">):</span>
+<div class="viewcode-block" id="AICorruptMetrics.score"><a class="viewcode-back" href="../../../api_doc/corrupt/aicorrupt.html#sdeval.corrupt.aicorrupt.AICorruptMetrics.score">[docs]</a>    <span class="k">def</span> <span class="nf">score</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">images</span><span class="p">:</span> <span class="n">ImagesTyping</span><span class="p">,</span> <span class="n">silent</span><span class="p">:</span> <span class="nb">bool</span> <span class="o">=</span> <span class="kc">None</span><span class="p">,</span>
+              <span class="n">mode</span><span class="p">:</span> <span class="n">Literal</span><span class="p">[</span><span class="s1">&#39;mean&#39;</span><span class="p">,</span> <span class="s1">&#39;seq&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="s1">&#39;mean&#39;</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Union</span><span class="p">[</span><span class="nb">float</span><span class="p">,</span> <span class="n">np</span><span class="o">.</span><span class="n">ndarray</span><span class="p">]:</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;</span>
 <span class="sd">        Calculate the AI image corruptness score for a set of images.</span>
 
@@ -323,19 +324,27 @@ <h1>Source code for sdeval.corrupt.aicorrupt</h1><div class="highlight"><pre>
 <span class="sd">        :type images: ImagesTyping</span>
 <span class="sd">        :param silent: If True, suppresses progress bars and additional output during calculation.</span>
 <span class="sd">        :type silent: bool</span>
+<span class="sd">        :param mode: Mode of the return value. Return a float value when ``mean`` is assigned,</span>
+<span class="sd">                    return a numpy array when ``seq`` is assigned. Default is ``mean``.</span>
+<span class="sd">        :type mode: Literal[&#39;mean&#39;, &#39;seq&#39;]</span>
 
 <span class="sd">        :return: The AI image corruptness score.</span>
-<span class="sd">        :rtype: float</span>
+<span class="sd">        :rtype: Union[float, np.ndarray]</span>
 <span class="sd">        &quot;&quot;&quot;</span>
         <span class="n">image_list</span> <span class="o">=</span> <span class="n">load_images</span><span class="p">(</span><span class="n">images</span><span class="p">)</span>
         <span class="k">if</span> <span class="ow">not</span> <span class="n">image_list</span><span class="p">:</span>
             <span class="k">raise</span> <span class="ne">FileNotFoundError</span><span class="p">(</span><span class="sa">f</span><span class="s1">&#39;Images for calculating AI corrupt score not provided - </span><span class="si">{</span><span class="n">images</span><span class="si">}</span><span class="s1">.&#39;</span><span class="p">)</span>
 
-        <span class="n">scores</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">array</span><span class="p">([</span>
+        <span class="n">scores</span> <span class="o">=</span> <span class="mf">1.0</span> <span class="o">-</span> <span class="n">np</span><span class="o">.</span><span class="n">array</span><span class="p">([</span>
             <span class="n">get_ai_corrupted</span><span class="p">(</span><span class="n">image</span><span class="p">,</span> <span class="n">model_name</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">_model_name</span><span class="p">)[</span><span class="s1">&#39;corrupted&#39;</span><span class="p">]</span>
             <span class="k">for</span> <span class="n">image</span> <span class="ow">in</span> <span class="n">tqdm</span><span class="p">(</span><span class="n">image_list</span><span class="p">,</span> <span class="n">silent</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">silent</span> <span class="k">if</span> <span class="n">silent</span> <span class="ow">is</span> <span class="kc">None</span> <span class="k">else</span> <span class="n">silent</span><span class="p">,</span> <span class="n">desc</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">tqdm_desc</span><span class="p">)</span>
         <span class="p">])</span>
-        <span class="k">return</span> <span class="mf">1.0</span> <span class="o">-</span> <span class="n">scores</span><span class="o">.</span><span class="n">mean</span><span class="p">()</span><span class="o">.</span><span class="n">item</span><span class="p">()</span></div></div>
+        <span class="k">assert</span> <span class="n">scores</span><span class="o">.</span><span class="n">shape</span> <span class="o">==</span> <span class="p">(</span><span class="nb">len</span><span class="p">(</span><span class="n">image_list</span><span class="p">),)</span>
+
+        <span class="k">if</span> <span class="n">mode</span> <span class="o">==</span> <span class="s1">&#39;seq&#39;</span><span class="p">:</span>
+            <span class="k">return</span> <span class="n">scores</span>
+        <span class="k">else</span><span class="p">:</span>
+            <span class="k">return</span> <span class="n">scores</span><span class="o">.</span><span class="n">mean</span><span class="p">()</span><span class="o">.</span><span class="n">item</span><span class="p">()</span></div></div>
 </pre></div>
 
 

dev/mode/_modules/sdeval/fidelity/ccip.html

@@ -247,7 +247,7 @@ <h1>Source code for sdeval.fidelity.ccip</h1><div class="highlight"><pre>
 <span class="sd">        :type mode: Literal[&#39;mean&#39;, &#39;seq&#39;]</span>
 
 <span class="sd">        :return: The similarity score between the reference dataset and the input images.</span>
-<span class="sd">        :rtype: float</span>
+<span class="sd">        :rtype: Union[float, np.ndarray]</span>
 <span class="sd">        &quot;&quot;&quot;</span>
         <span class="n">image_list</span><span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="n">Image</span><span class="o">.</span><span class="n">Image</span><span class="p">]</span> <span class="o">=</span> <span class="n">load_images</span><span class="p">(</span><span class="n">images</span><span class="p">)</span>
         <span class="k">if</span> <span class="ow">not</span> <span class="n">image_list</span><span class="p">:</span>

dev/mode/_sources/information/environment.result.ipynb.txt

@@ -29,10 +29,10 @@
    "execution_count": 1,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-01-26T02:52:04.571806Z",
-     "iopub.status.busy": "2024-01-26T02:52:04.571607Z",
-     "iopub.status.idle": "2024-01-26T02:52:05.746489Z",
-     "shell.execute_reply": "2024-01-26T02:52:05.745694Z"
+     "iopub.execute_input": "2024-01-26T03:08:03.407000Z",
+     "iopub.status.busy": "2024-01-26T03:08:03.406798Z",
+     "iopub.status.idle": "2024-01-26T03:08:04.577896Z",
+     "shell.execute_reply": "2024-01-26T03:08:04.577152Z"
     },
     "pycharm": {
      "name": "#%%\n"
@@ -53,7 +53,7 @@
      "text": [
       "CPU Brand: AMD EPYC 7763 64-Core Processor\n",
       "CPU Count: 4\n",
-      "CPU Freq: 3010.28825 MHz\n",
+      "CPU Freq: 2945.213 MHz\n",
       "Memory Size: 15.607 GiB\n",
       "Has CUDA: No\n"
      ]