vertexAI_online_predictions/online_predict_model_input_prep.ipynb

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  {
   "cell_type": "markdown",
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   "metadata": {},
   "source": [
    "## **Prepare input json for model ENDPOINT**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "0f62da6c-0370-403f-a834-934a31401162",
   "metadata": {},
   "outputs": [],
   "source": [
    "import cv2\n",
    "import numpy as np\n",
    "import json\n",
    "import base64"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "15162b1f-3124-4e3b-8d3e-6099a50e7297",
   "metadata": {},
   "outputs": [],
   "source": [
    "\"\"\" PREPARE INPUT FILE FOR WITHOUT PROMPTS MASKING \"\"\"\n",
    "\n",
    "# Here we are using the simple_apple.jpeg file for testing the endpoint\n",
    "image = cv2.imread('/home/jupyter/ml-ops-segment-anything/demo-notebooks/images/simple_apple.jpeg')\n",
    "img_string = base64.b64encode(cv2.imencode('.jpeg', image)[1]).decode()\n",
    "input_instance = {}\n",
    "input = {}\n",
    "input_list = []\n",
    "\n",
    "input[\"file_path\"] = \"images/simple_apple.jpg\"\n",
    "input[\"image\"] = img_string\n",
    "\n",
    "input_list.append(input)\n",
    "\n",
    "input_instance[\"instances\"] = input_list\n",
    "\n",
    "INPUT_FILE_WITHOUT_PROMPTS = \"input_without_prompts.jsonl\" # JSON file name\n",
    "with open(INPUT_FILE_WITHOUT_PROMPTS, \"w\") as outfile:\n",
    "    json.dump(input_instance, outfile)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "76b4d5ef-aea5-4962-be39-0f1752679271",
   "metadata": {},
   "outputs": [],
   "source": [
    "\"\"\" PREPARE INPUT FILE FOR WITH PROMPTS MASKING \"\"\"\n",
    "\n",
    "# Here we are using the simple_apple.jpeg file for testing the endpoint\n",
    "image = cv2.imread('/home/jupyter/ml-ops-segment-anything/demo-notebooks/images/simple_apple.jpeg')\n",
    "img_string = base64.b64encode(cv2.imencode('.jpeg', image)[1]).decode()\n",
    "input_instance = {}\n",
    "input = {}\n",
    "input_list = []\n",
    "\n",
    "input[\"file_path\"] = \"images/simple_apple.jpg\"\n",
    "input[\"image\"] = img_string\n",
    "input_point = [500, 375]\n",
    "input_label = [1]\n",
    "\n",
    "input[\"input_point\"] = input_point\n",
    "input[\"input_label\"] = input_label\n",
    "\n",
    "input_list.append(input)\n",
    "input_instance[\"instances\"] = input_list\n",
    "\n",
    "INPUT_FILE_WITH_PROMPTS = \"input_with_prompts.jsonl\"  # JSON file name\n",
    "with open(INPUT_FILE_WITH_PROMPTS, \"w\") as outfile:\n",
    "    json.dump(input_instance, outfile)"
   ]
  }
 ],
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