Spaces:

cvlab
/

zero123

Running

App Files Files Community

turn-the-cam-anonymous commited on Mar 13, 2023

Commit

2add774

•

1 Parent(s): c9c2351

small changes

Browse files

Files changed (3) hide show

app.py +4 -4
online_demo/index.html +0 -92
run.ipynb +73 -10

app.py CHANGED Viewed

@@ -28,8 +28,8 @@ with gr.Blocks() as demo:
                 default_input_image = Image.open( os.path.join('online_demo', 'nerf_wild', 'step-100_scale-6.0', 'car1', 'input.png'))
                 input_image = gr.Image(default_input_image, shape=[256, 256])
                 options = sorted(os.listdir('online_demo/nerf_wild/step-100_scale-6.0'))
-                img_id = gr.Dropdown(options, value='car1')
-                text_button = gr.Button("Choose Input Image")
                 retrieve_input_image_dataset = partial(retrieve_input_image, 'nerf_wild')
                 text_button.click(retrieve_input_image_dataset, inputs=img_id, outputs=input_image)
@@ -51,7 +51,7 @@ with gr.Blocks() as demo:
                 default_input_image = Image.open( os.path.join('online_demo', 'GSO', 'step-100_scale-6.0', 'SAMBA_HEMP', 'input.png'))
                 input_image = gr.Image(default_input_image, shape=[256, 256])
                 options = sorted(os.listdir('online_demo/GSO/step-100_scale-6.0'))
-                img_id = gr.Dropdown(options, value='SAMBA_HEMP')
                 text_button = gr.Button("Choose Input Image")
                 retrieve_input_image_dataset = partial(retrieve_input_image, 'GSO')
                 text_button.click(retrieve_input_image_dataset, inputs=img_id, outputs=input_image)
@@ -74,7 +74,7 @@ with gr.Blocks() as demo:
                 default_input_image = Image.open( os.path.join('online_demo', 'RTMV', 'step-100_scale-6.0', '00000', 'input.png'))
                 input_image = gr.Image(default_input_image, shape=[256, 256])
                 options = sorted(os.listdir('online_demo/RTMV/step-100_scale-6.0'))
-                img_id = gr.Dropdown(options, value='00000')
                 text_button = gr.Button("Choose Input Image")
                 retrieve_input_image_dataset = partial(retrieve_input_image, 'RTMV')
                 text_button.click(retrieve_input_image_dataset, inputs=img_id, outputs=input_image)

                 default_input_image = Image.open( os.path.join('online_demo', 'nerf_wild', 'step-100_scale-6.0', 'car1', 'input.png'))
                 input_image = gr.Image(default_input_image, shape=[256, 256])
                 options = sorted(os.listdir('online_demo/nerf_wild/step-100_scale-6.0'))
+                img_id = gr.Dropdown(options, value='car1', label='options')
+                text_button = gr.Button("Load Input Image")
                 retrieve_input_image_dataset = partial(retrieve_input_image, 'nerf_wild')
                 text_button.click(retrieve_input_image_dataset, inputs=img_id, outputs=input_image)
                 default_input_image = Image.open( os.path.join('online_demo', 'GSO', 'step-100_scale-6.0', 'SAMBA_HEMP', 'input.png'))
                 input_image = gr.Image(default_input_image, shape=[256, 256])
                 options = sorted(os.listdir('online_demo/GSO/step-100_scale-6.0'))
+                img_id = gr.Dropdown(options, value='SAMBA_HEMP', label='options')
                 text_button = gr.Button("Choose Input Image")
                 retrieve_input_image_dataset = partial(retrieve_input_image, 'GSO')
                 text_button.click(retrieve_input_image_dataset, inputs=img_id, outputs=input_image)
                 default_input_image = Image.open( os.path.join('online_demo', 'RTMV', 'step-100_scale-6.0', '00000', 'input.png'))
                 input_image = gr.Image(default_input_image, shape=[256, 256])
                 options = sorted(os.listdir('online_demo/RTMV/step-100_scale-6.0'))
+                img_id = gr.Dropdown(options, value='00000', label='options')
                 text_button = gr.Button("Choose Input Image")
                 retrieve_input_image_dataset = partial(retrieve_input_image, 'RTMV')
                 text_button.click(retrieve_input_image_dataset, inputs=img_id, outputs=input_image)

online_demo/index.html DELETED Viewed

@@ -1,92 +0,0 @@
-<html>
-<head>
-<title>Zero-1-to-3</title>
-<script src="https://ajax.googleapis.com/ajax/libs/jquery/3.6.3/jquery.min.js"></script>
-<script>
-var loc = window.location.pathname;
-var path = loc.substring(0, loc.lastIndexOf('/')) + '/nerf_wild';
-function ShowFolderFileList()
-{
-  var fso, f, fc, s, temp;
-  fso = new ActiveXObject("Scripting.FileSystemObject");
-  f = fso.GetFolder(path);
-  fc = new Enumerator(f.files);
-  s = "";
-  temp = "";
-  for (; !fc.atEnd(); fc.moveNext())
-    {
-    temp = fc.item();
-    s = temp.name;
-    console.log(s)
-    document.getElementById('example').options[document.getElementById('example').options.length] = new Option (s, s);
-    };
-}
-function update() {
-  var polar = $("#polar").val();
-  var azimuth = $("#azimuth").val();
-  var zoom = $("#zoom").val();
-  var seed = $("#seed").val();
-  var img_id = $("#example").val();
-  var dataset = $("#dataset").val();
-  $("#novelim").attr('src', dataset + '/step-100_scale-6.0/' + img_id + '/polar-' + Math.round((parseInt(polar) + 30) / 30) + '_azimuth-' + Math.round(parseInt(azimuth) / 30) + '_distance-' + (parseInt(zoom) + 1) + '_seed-' + seed + '.png');
-  $("#originalim").attr('src', dataset + '/step-100_scale-6.0/' + img_id + '/input.png')
-  $("#polar-val").html(polar + "&deg;");
-  $("#azimuth-val").html(azimuth + "&deg;");
-  $("#zoom-val").html(zoom);
-  $("#seed-val").html(seed);
-}
-$(document).ready(function() {
-  $("#example").on("input change", update);
-  $("#polar").on("input change", update);
-  $("#azimuth").on("input change", update);
-  $("#zoom").on("input change", update);
-  $("#seed").on("input change", update);
-  update();
-});
-</script>
-<style>
-#originalim, #novelim {
-  width : 300px;
-  height : 300px;
-  border : 1px solid black;
-}
-.control-label {
-  width : 75px;
-  display : inline-block;
-  text-align : right;
-}
-</style>
-</head>
-<body>
-<div class="viewer">
-  <img id="originalim">
-  <img id="novelim"><br>
-  <div id="controls">
-    <span class="control-label">Dataset:</span> <select id="dataset">
-      <option value="GSO">GSO</option>
-      <option value="nerf_wild">nerf_wild</option>
-      <option value="RTMV">RTMV</option>
-    </select><br>
-    <span class="control-label">Example:</span> <select id="example">
-      <option value="alma">Alma</option>
-      <option value="bike">Bike</option>
-      <option value="car1">Car 1</option>
-      <option value="car2">Car 2</option>
-    </select><br>
-    <span class="control-label">Polar:</span> <input type="range" id="polar" min="-30" max="30" step="30" value="0"><span class="control-value" id="polar-val"></span><br>
-    <span class="control-label">Azimuth:</span> <input type="range" id="azimuth" min="0" max="330" step="30" value="0"> <span class="control-value" id="azimuth-val"></span><br>
-    <span class="control-label">Zoom:</span> <input type="range" id="zoom" min="-1" max="1" step="1" value="0"> <span class="control-value" id="zoom-val"></span><br>
-    <span class="control-label">Seed:</span> <input type="range" id="seed" min="0" max="4" step="1" value="0"> <span class="control-value" id="seed-val"></span>
-    </div>
-</div>
-</body>
-</html>

run.ipynb CHANGED Viewed

@@ -12,7 +12,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 57,
    "id": 2.8891853944186117e+38,
    "metadata": {
     "colab": {
@@ -28,9 +28,7 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "\n",
-      "Thanks for being a Gradio user! If you have questions or feedback, please join our Discord server and chat with us: https://discord.gg/feTf9x3ZSB\n",
-      "Running on local URL:  http://127.0.0.1:7908\n",
       "\n",
       "To create a public link, set `share=True` in `launch()`.\n"
      ]
@@ -38,7 +36,7 @@
     {
      "data": {
       "text/html": [
-       "<div><iframe src=\"http://127.0.0.1:7908/\" width=\"100%\" height=\"500\" allow=\"autoplay; camera; microphone; clipboard-read; clipboard-write;\" frameborder=\"0\" allowfullscreen></iframe></div>"
       ],
       "text/plain": [
        "<IPython.core.display.HTML object>"
@@ -79,8 +77,8 @@
     "                default_input_image = Image.open( os.path.join('online_demo', 'nerf_wild', 'step-100_scale-6.0', 'car1', 'input.png'))\n",
     "                input_image = gr.Image(default_input_image, shape=[256, 256])\n",
     "                options = sorted(os.listdir('online_demo/nerf_wild/step-100_scale-6.0'))\n",
-    "                img_id = gr.Dropdown(options, value='car1')\n",
-    "                text_button = gr.Button(\"Choose Input Image\")\n",
     "                retrieve_input_image_dataset = partial(retrieve_input_image, 'nerf_wild')\n",
     "                text_button.click(retrieve_input_image_dataset, inputs=img_id, outputs=input_image)\n",
     "\n",
@@ -102,7 +100,7 @@
     "                default_input_image = Image.open( os.path.join('online_demo', 'GSO', 'step-100_scale-6.0', 'SAMBA_HEMP', 'input.png'))\n",
     "                input_image = gr.Image(default_input_image, shape=[256, 256])\n",
     "                options = sorted(os.listdir('online_demo/GSO/step-100_scale-6.0'))\n",
-    "                img_id = gr.Dropdown(options, value='SAMBA_HEMP')\n",
     "                text_button = gr.Button(\"Choose Input Image\")\n",
     "                retrieve_input_image_dataset = partial(retrieve_input_image, 'GSO')\n",
     "                text_button.click(retrieve_input_image_dataset, inputs=img_id, outputs=input_image)\n",
@@ -125,7 +123,7 @@
     "                default_input_image = Image.open( os.path.join('online_demo', 'RTMV', 'step-100_scale-6.0', '00000', 'input.png'))\n",
     "                input_image = gr.Image(default_input_image, shape=[256, 256])\n",
     "                options = sorted(os.listdir('online_demo/RTMV/step-100_scale-6.0'))\n",
-    "                img_id = gr.Dropdown(options, value='00000')\n",
     "                text_button = gr.Button(\"Choose Input Image\")\n",
     "                retrieve_input_image_dataset = partial(retrieve_input_image, 'RTMV')\n",
     "                text_button.click(retrieve_input_image_dataset, inputs=img_id, outputs=input_image)\n",
@@ -150,12 +148,77 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
    "id": "bk8_q39r_iGt",
    "metadata": {
     "id": "bk8_q39r_iGt"
    },
    "outputs": [],
    "source": []
   }
  ],

   },
   {
    "cell_type": "code",
+   "execution_count": 23,
    "id": 2.8891853944186117e+38,
    "metadata": {
     "colab": {
      "name": "stdout",
      "output_type": "stream",
      "text": [
+      "Running on local URL:  http://127.0.0.1:7868\n",
       "\n",
       "To create a public link, set `share=True` in `launch()`.\n"
      ]
     {
      "data": {
       "text/html": [
+       "<div><iframe src=\"http://127.0.0.1:7868/\" width=\"100%\" height=\"500\" allow=\"autoplay; camera; microphone; clipboard-read; clipboard-write;\" frameborder=\"0\" allowfullscreen></iframe></div>"
       ],
       "text/plain": [
        "<IPython.core.display.HTML object>"
     "                default_input_image = Image.open( os.path.join('online_demo', 'nerf_wild', 'step-100_scale-6.0', 'car1', 'input.png'))\n",
     "                input_image = gr.Image(default_input_image, shape=[256, 256])\n",
     "                options = sorted(os.listdir('online_demo/nerf_wild/step-100_scale-6.0'))\n",
+    "                img_id = gr.Dropdown(options, value='car1', label='options')\n",
+    "                text_button = gr.Button(\"Load Input Image\")\n",
     "                retrieve_input_image_dataset = partial(retrieve_input_image, 'nerf_wild')\n",
     "                text_button.click(retrieve_input_image_dataset, inputs=img_id, outputs=input_image)\n",
     "\n",
     "                default_input_image = Image.open( os.path.join('online_demo', 'GSO', 'step-100_scale-6.0', 'SAMBA_HEMP', 'input.png'))\n",
     "                input_image = gr.Image(default_input_image, shape=[256, 256])\n",
     "                options = sorted(os.listdir('online_demo/GSO/step-100_scale-6.0'))\n",
+    "                img_id = gr.Dropdown(options, value='SAMBA_HEMP', label='options')\n",
     "                text_button = gr.Button(\"Choose Input Image\")\n",
     "                retrieve_input_image_dataset = partial(retrieve_input_image, 'GSO')\n",
     "                text_button.click(retrieve_input_image_dataset, inputs=img_id, outputs=input_image)\n",
     "                default_input_image = Image.open( os.path.join('online_demo', 'RTMV', 'step-100_scale-6.0', '00000', 'input.png'))\n",
     "                input_image = gr.Image(default_input_image, shape=[256, 256])\n",
     "                options = sorted(os.listdir('online_demo/RTMV/step-100_scale-6.0'))\n",
+    "                img_id = gr.Dropdown(options, value='00000', label='options')\n",
     "                text_button = gr.Button(\"Choose Input Image\")\n",
     "                retrieve_input_image_dataset = partial(retrieve_input_image, 'RTMV')\n",
     "                text_button.click(retrieve_input_image_dataset, inputs=img_id, outputs=input_image)\n",
   },
   {
    "cell_type": "code",
+   "execution_count": 8,
    "id": "bk8_q39r_iGt",
    "metadata": {
     "id": "bk8_q39r_iGt"
    },
    "outputs": [],
+   "source": [
+    "img_id = gr.Dropdown(options, value='car1')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 13,
+   "id": "e91860b3",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/home/rliu/anaconda3/lib/python3.9/site-packages/gradio/utils.py:805: UserWarning: Expected 2 arguments for function <function retrieve_input_image at 0x7ffabc3310d0>, received 0.\n",
+      "  warnings.warn(\n",
+      "/home/rliu/anaconda3/lib/python3.9/site-packages/gradio/utils.py:809: UserWarning: Expected at least 2 arguments for function <function retrieve_input_image at 0x7ffabc3310d0>, received 0.\n",
+      "  warnings.warn(\n"
+     ]
+    },
+    {
+     "ename": "AttributeError",
+     "evalue": "change() and other events can only be called within a Blocks context.",
+     "output_type": "error",
+     "traceback": [
+      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
+      "\u001b[0;31mAttributeError\u001b[0m                            Traceback (most recent call last)",
+      "\u001b[0;32m/tmp/ipykernel_2769604/1401407332.py\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0mimg_id\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mchange\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mretrieve_input_image\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
+      "\u001b[0;32m~/anaconda3/lib/python3.9/site-packages/gradio/events.py\u001b[0m in \u001b[0;36mchange\u001b[0;34m(self, fn, inputs, outputs, api_name, status_tracker, scroll_to_output, show_progress, queue, batch, max_batch_size, preprocess, postprocess, cancels, every, _js)\u001b[0m\n\u001b[1;32m     79\u001b[0m                 \u001b[0;34m\"The 'status_tracker' parameter has been deprecated and has no effect.\"\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     80\u001b[0m             )\n\u001b[0;32m---> 81\u001b[0;31m         dep = self.set_event_trigger(\n\u001b[0m\u001b[1;32m     82\u001b[0m             \u001b[0;34m\"change\"\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     83\u001b[0m             \u001b[0mfn\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;32m~/anaconda3/lib/python3.9/site-packages/gradio/blocks.py\u001b[0m in \u001b[0;36mset_event_trigger\u001b[0;34m(self, event_name, fn, inputs, outputs, preprocess, postprocess, scroll_to_output, show_progress, api_name, js, no_target, queue, batch, max_batch_size, cancels, every)\u001b[0m\n\u001b[1;32m    192\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    193\u001b[0m         \u001b[0;32mif\u001b[0m \u001b[0mContext\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mroot_block\u001b[0m \u001b[0;32mis\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 194\u001b[0;31m             raise AttributeError(\n\u001b[0m\u001b[1;32m    195\u001b[0m                 \u001b[0;34mf\"{event_name}() and other events can only be called within a Blocks context.\"\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    196\u001b[0m             )\n",
+      "\u001b[0;31mAttributeError\u001b[0m: change() and other events can only be called within a Blocks context."
+     ]
+    }
+   ],
+   "source": [
+    "img_id.change(retrieve_input_image)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 17,
+   "id": "ab10a43f",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "'car1'"
+      ]
+     },
+     "execution_count": 17,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "img_id.value"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "2febec07",
+   "metadata": {},
+   "outputs": [],
    "source": []
   }
  ],