updating

src/captcha.ipynb

@@ -143,9 +143,9 @@
         "    drive.mount(str(GoogleDriveManager._googleDriveFolder))\n",
         "\n",
         "  @staticmethod\n",
-        "  def uploadFolderToGoogleDrive(folder):\n",
-        "    !zip -r {folder}.zip {folder}/\n",
-        "    !cp {folder}.zip {GoogleDriveManager._baseFolder}\n",
+        "  def uploadFolderToGoogleDrive(folder, zippedFolderName):\n",
+        "    !zip -r {zippedFolderName}.zip {folder}/\n",
+        "    !cp {zippedFolderName}.zip {GoogleDriveManager._baseFolder}\n",
         "\n",
         "  @staticmethod\n",
         "  def downloadFolderFromGoogleDrive(folder):\n",
@@ -281,7 +281,7 @@
         "    modelFilepath = f'{srcPath}/captcha/{model.name}'\n",
         "    modelDAO.saveModel(model, modelFilepath)\n",
         "    if inColab:\n",
-        "        GoogleDriveManager.uploadFolderToGoogleDrive(model.name)"
+        "        GoogleDriveManager.uploadFolderToGoogleDrive(modelFilepath, model.name)"
       ],
       "metadata": {
         "id": "WG2rSl9nxZQ0"
@@ -359,7 +359,7 @@
       "source": [
         "# \"We generate 200,000 images for base model pre-training\"\n",
         "captchaGenerator = CaptchaGenerator(\n",
-        "    numCaptchas = 200000, # 50, # 200000,\n",
+        "    numCaptchas = 50, # 50, # 200000,\n",
         "    dataDir = Path(srcPath + '/captchas/generated/VAERS/'))"
       ]
     },
@@ -439,6 +439,17 @@
         "saveModel(srcPath, modelDAO, model)"
       ]
     },
+    {
+      "cell_type": "code",
+      "source": [
+        "model.name"
+      ],
+      "metadata": {
+        "id": "fmpO6FpU0yHZ"
+      },
+      "execution_count": null,
+      "outputs": []
+    },
     {
       "cell_type": "code",
       "execution_count": null,