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src/yolov8/birds/yolov8_train.ipynb

@@ -39,9 +39,9 @@
    "outputs": [],
    "source": [
     "# Parameters (make sure these are correct)\n",
-    "subscr_id = \"2be2dbbb-7c00-4b84-8fba-4b0199750c01\" \n",
-    "resc_name = \"marterkist5\"\n",
-    "worksp_name = \"detectron2-workspace\"\n",
+    "subscr_id = \"\" \n",
+    "resc_name = \"\"\n",
+    "worksp_name = \"\"\n",
     "\n",
     "# Get a handle to the workspace\n",
     "ml_client = MLClient(\n",
@@ -88,11 +88,11 @@
     "\n",
     "from azure.ai.ml.entities import AmlCompute\n",
     "\n",
-    "cpu_compute_target = \"cpu-cluster32GB\"\n",
-    "cpu_size = \"STANDARD_E4S_V3\"\n",
+    "cpu_compute_target = \"\"\n",
+    "cpu_size = \"\"\n",
     "\n",
-    "gpu_compute_target = \"gpu-cluster110GB\"\n",
-    "gpu_size = \"STANDARD_NC16AS_T4_V3\"\n",
+    "gpu_compute_target = \"\"\n",
+    "gpu_size = \"\"\n",
     "\n",
     "def create_compute(target, size):\n",
     "    try:\n",
@@ -189,10 +189,10 @@
     "import os\n",
     "\n",
     "# Load from local (test)\n",
-    "data_path = r\"C:/Users/augus/Documents/Studie/MGI/Internship/detection-segmentation/Data/Ready/test\" #/YOLO\"\n",
+    "data_path = r\"\" #/YOLO\"\n",
     "\n",
     "# Load from Azure container\n",
-    "data_path = r\"wasbs://[email protected]/Ready/5m/0bg\"\n",
+    "data_path = r\"\"\n",
     "\n",
     "# Load from data asset \n",
     "# train_data_asset = ml_client.data.get(\"test_dataasset\", version=\"1\")\n",