test.ipynb

{
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   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Requirement already satisfied: numpy in ./.conda/lib/python3.11/site-packages (from -r requirements.txt (line 3)) (1.26.4)\n",
      "Collecting opencv-python>=4.1.2 (from -r requirements.txt (line 4))\n",
      "  Using cached opencv_python-4.10.0.84-cp37-abi3-macosx_11_0_arm64.whl.metadata (20 kB)\n",
      "Requirement already satisfied: pandas in ./.conda/lib/python3.11/site-packages (from -r requirements.txt (line 5)) (2.2.2)\n",
      "Requirement already satisfied: Pillow in ./.conda/lib/python3.11/site-packages (from -r requirements.txt (line 6)) (10.3.0)\n",
      "Collecting pyYAML (from -r requirements.txt (line 7))\n",
      "  Using cached PyYAML-6.0.1-cp311-cp311-macosx_11_0_arm64.whl.metadata (2.1 kB)\n",
      "Requirement already satisfied: requests in ./.conda/lib/python3.11/site-packages (from -r requirements.txt (line 8)) (2.32.3)\n",
      "Collecting tqdm (from -r requirements.txt (line 9))\n",
      "  Using cached tqdm-4.66.4-py3-none-any.whl.metadata (57 kB)\n",
      "Requirement already satisfied: python-dateutil>=2.8.2 in ./.conda/lib/python3.11/site-packages (from pandas->-r requirements.txt (line 5)) (2.9.0)\n",
      "Requirement already satisfied: pytz>=2020.1 in ./.conda/lib/python3.11/site-packages (from pandas->-r requirements.txt (line 5)) (2024.1)\n",
      "Requirement already satisfied: tzdata>=2022.7 in ./.conda/lib/python3.11/site-packages (from pandas->-r requirements.txt (line 5)) (2024.1)\n",
      "Requirement already satisfied: charset-normalizer<4,>=2 in ./.conda/lib/python3.11/site-packages (from requests->-r requirements.txt (line 8)) (3.3.2)\n",
      "Requirement already satisfied: idna<4,>=2.5 in ./.conda/lib/python3.11/site-packages (from requests->-r requirements.txt (line 8)) (3.7)\n",
      "Requirement already satisfied: urllib3<3,>=1.21.1 in ./.conda/lib/python3.11/site-packages (from requests->-r requirements.txt (line 8)) (2.2.2)\n",
      "Requirement already satisfied: certifi>=2017.4.17 in ./.conda/lib/python3.11/site-packages (from requests->-r requirements.txt (line 8)) (2024.6.2)\n",
      "Requirement already satisfied: six>=1.5 in ./.conda/lib/python3.11/site-packages (from python-dateutil>=2.8.2->pandas->-r requirements.txt (line 5)) (1.16.0)\n",
      "Using cached opencv_python-4.10.0.84-cp37-abi3-macosx_11_0_arm64.whl (54.8 MB)\n",
      "Using cached PyYAML-6.0.1-cp311-cp311-macosx_11_0_arm64.whl (167 kB)\n",
      "Using cached tqdm-4.66.4-py3-none-any.whl (78 kB)\n",
      "Installing collected packages: tqdm, pyYAML, opencv-python\n",
      "Successfully installed opencv-python-4.10.0.84 pyYAML-6.0.1 tqdm-4.66.4\n",
      "Note: you may need to restart the kernel to use updated packages.\n"
     ]
    }
   ],
   "source": [
    "pip install -r requirements.txt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "pip 24.0 from /Users/winstonren/GitHub/GarbadgeDetection/.conda/lib/python3.11/site-packages/pip (python 3.11)\n",
      "Note: you may need to restart the kernel to use updated packages.\n"
     ]
    }
   ],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Matplotlib is building the font cache; this may take a moment.\n"
     ]
    }
   ],
   "source": [
    "import os\n",
    "import json\n",
    "import torch\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "import torchvision\n",
    "from torchvision.io import read_image\n",
    "from torch.utils.data import Dataset\n",
    "from torchvision.transforms import ToTensor\n",
    "import matplotlib.pyplot as plt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [],
   "source": [
    "DATA_DIR = \"./data/TACO/data/\"\n",
    "ANNOTATIONS_FILE = os.path.join(DATA_DIR, 'annotations.json')\n",
    "with open(ANNOTATIONS_FILE) as json_file:\n",
    "    data = json.load(json_file)\n",
    "categories = data['categories']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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   "language": "python",
   "name": "python3"
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    "name": "ipython",
    "version": 3
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   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
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