Upload fusion_t2i_CLIP_interrogator.ipynb

Google Colab Jupyter Notebooks/fusion_t2i_CLIP_interrogator.ipynb

@@ -593,15 +593,20 @@
         "LIST_SIZE = 1000  # @param {type:'number' , placeholder:'set how large the list should be'}\n",
         "_START_AT = '0' # @param [\"0\", \"10000\", \"50000\"] {allow-input: true}\n",
         "START_AT = 0\n",
-        "if _START_AT.isnumeric(): START_AT = int(_START_AT)\n",
+        "#-----#\n",
+        "if _START_AT.find('K')>-1:\n",
+        "  START_AT = _START_AT.replace('K','')\n",
+        "  if START_AT.isnumeric(): START_AT = int(START_AT)*1000\n",
+        "#------#\n",
+        "else:\n",
+        "  if _START_AT.isnumeric(): START_AT = int(_START_AT)\n",
+        "#----#\n",
         "\n",
         "output_folder = home_directory + 'results/'\n",
         "output_folder_sims = home_directory + 'results/sims/'\n",
         "my_mkdirs(output_folder)\n",
         "my_mkdirs(output_folder_sims)\n",
         "\n",
-        "\n",
-        "\n",
         "# @markdown -----\n",
         "# @markdown Select vocab\n",
         "general = True # @param {type:\"boolean\"}\n",
@@ -782,21 +787,11 @@
         "image\n"
       ],
       "metadata": {
-        "id": "kOYZ8Ajn-DD8",
-        "cellView": "form"
+        "id": "kOYZ8Ajn-DD8"
       },
       "execution_count": null,
       "outputs": []
     },
-    {
-      "cell_type": "markdown",
-      "source": [
-        "# 🔍 Evaluate similarities"
-      ],
-      "metadata": {
-        "id": "RbFayOGtCdUN"
-      }
-    },
     {
       "cell_type": "markdown",
       "source": [
@@ -811,7 +806,7 @@
     {
       "cell_type": "code",
       "source": [
-        "# @title ⚄ 🔍 Evaluate similarities\n",
+        "# @title ⚄ 🔍 Test how unique the encoding is\n",
         "%cd {output_folder_sims}\n",
         "index = 0\n",
         "for filename in os.listdir(output_folder_sims):\n",
@@ -887,8 +882,7 @@
         "plt.show()"
       ],
       "metadata": {
-        "id": "ln6DsZPG99ez",
-        "cellView": "form"
+        "id": "ln6DsZPG99ez"
       },
       "execution_count": null,
       "outputs": []