PreTrained-Model-2.ipynb

{
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  "nbformat_minor": 0,
  "metadata": {
    "colab": {
      "provenance": [],
      "authorship_tag": "ABX9TyOsNtx9Hs1N3nGQYBDC9tYD",
      "include_colab_link": true
    },
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
    },
    "language_info": {
      "name": "python"
    }
  },
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "view-in-github",
        "colab_type": "text"
      },
      "source": [
        "<a href=\"https://colab.research.google.com/github/harshit4311/Pepsi-Coke-LogoDetection/blob/main/Pre_Trained_Model(YOLOv8).ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 12,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "collapsed": true,
        "id": "1qvcUhMl6WvD",
        "outputId": "443e60dc-3369-4d28-dcef-c0fd26aec90b"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Requirement already satisfied: ultralytics in /usr/local/lib/python3.10/dist-packages (8.2.57)\n",
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            "Requirement already satisfied: nvidia-cublas-cu12==12.1.3.1 in /usr/local/lib/python3.10/dist-packages (from torch>=1.8.0->ultralytics) (12.1.3.1)\n",
            "Requirement already satisfied: nvidia-cufft-cu12==11.0.2.54 in /usr/local/lib/python3.10/dist-packages (from torch>=1.8.0->ultralytics) (11.0.2.54)\n",
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            "Requirement already satisfied: six>=1.5 in /usr/local/lib/python3.10/dist-packages (from python-dateutil>=2.7->matplotlib>=3.3.0->ultralytics) (1.16.0)\n",
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            "Requirement already satisfied: mpmath<1.4,>=1.1.0 in /usr/local/lib/python3.10/dist-packages (from sympy->torch>=1.8.0->ultralytics) (1.3.0)\n",
            "Requirement already satisfied: av in /usr/local/lib/python3.10/dist-packages (12.2.0)\n",
            "Requirement already satisfied: opencv-python in /usr/local/lib/python3.10/dist-packages (4.8.0.76)\n",
            "Requirement already satisfied: numpy>=1.21.2 in /usr/local/lib/python3.10/dist-packages (from opencv-python) (1.25.2)\n",
            "Installation done\n"
          ]
        }
      ],
      "source": [
        "!pip install ultralytics\n",
        "!pip install av\n",
        "!pip install opencv-python\n",
        "\n",
        "import av\n",
        "import zipfile\n",
        "import os\n",
        "import json\n",
        "import numpy as np\n",
        "from ultralytics import YOLO\n",
        "\n",
        "print(\"Installation done\")"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Load the YOLOv8 model\n",
        "model = YOLO('yolov8s.pt')"
      ],
      "metadata": {
        "id": "uadfvTzK7M7y"
      },
      "execution_count": 13,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "# Define custom classes (Pepsi and CocaCola)\n",
        "model.classes = ['Pepsi', 'CocaCola']\n"
      ],
      "metadata": {
        "collapsed": true,
        "id": "SKDhWh-Y70PF"
      },
      "execution_count": 5,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "# Load pre-trained YOLO model\n",
        "model = torch.hub.load('ultralytics/yolov5', 'yolov5s')\n",
        "\n",
        "# Modify the model for custom classes (Pepsi and CocaCola)\n",
        "model.classes = ['Pepsi', 'CocaCola']"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "collapsed": true,
        "id": "WLBN_6_Y7hD8",
        "outputId": "45be545e-9e92-4b53-8dcb-2a4052552292"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "Downloading: \"https://github.com/ultralytics/yolov5/zipball/master\" to /root/.cache/torch/hub/master.zip\n",
            "YOLOv5 🚀 2024-7-15 Python-3.10.12 torch-2.3.0+cu121 CPU\n",
            "\n",
            "Downloading https://github.com/ultralytics/yolov5/releases/download/v7.0/yolov5s.pt to yolov5s.pt...\n",
            "100%|██████████| 14.1M/14.1M [00:00<00:00, 131MB/s]\n",
            "\n",
            "Fusing layers... \n",
            "YOLOv5s summary: 213 layers, 7225885 parameters, 0 gradients, 16.4 GFLOPs\n",
            "Adding AutoShape... \n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "import zipfile\n",
        "import os\n",
        "\n",
        "# Extract zip files\n",
        "with zipfile.ZipFile('/content/coke-dataset-photos.zip', 'r') as zip_ref:\n",
        "    zip_ref.extractall('/content/coke-dataset')\n",
        "\n",
        "with zipfile.ZipFile('/content/pepsi-dataset-photos.zip', 'r') as zip_ref:\n",
        "    zip_ref.extractall('/content/pepsi-dataset')\n",
        "\n",
        "# Define paths to datasets\n",
        "coke_path = '/content/coke-dataset'\n",
        "pepsi_path = '/content/pepsi-dataset'"
      ],
      "metadata": {
        "id": "9LYH_JSc-k7p"
      },
      "execution_count": 7,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "# Function to extract frames\n",
        "def extract_frames(video_path, interval=1):\n",
        "    container = av.open(video_path)\n",
        "    frames = []\n",
        "    timestamps = []\n",
        "    for frame in container.decode(video=0):\n",
        "        # Extract frames based on the specified interval\n",
        "        if frame.time >= len(timestamps) * interval:\n",
        "            frames.append(frame.to_image())\n",
        "            timestamps.append(frame.time)\n",
        "    return frames, timestamps"
      ],
      "metadata": {
        "id": "nCpiWhMFfVZs"
      },
      "execution_count": 8,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "# Function to detect logos\n",
        "def detect_logos(model, frames, timestamps):\n",
        "    pepsi_timestamps = []\n",
        "    cocacola_timestamps = []\n",
        "\n",
        "    for i, frame in enumerate(frames):\n",
        "        frame = np.array(frame)  # Convert PIL image to numpy array\n",
        "        results = model(frame)  # Get predictions from the model\n",
        "\n",
        "        for result in results:\n",
        "            # Loop through detected objects\n",
        "            for pred in result.boxes:\n",
        "                # The format of pred is [x1, y1, x2, y2, confidence, class]\n",
        "                class_id = int(pred.cls)\n",
        "                if class_id == 0:  # Assuming class 0 is Pepsi\n",
        "                    pepsi_timestamps.append(timestamps[i])\n",
        "                elif class_id == 1:  # Assuming class 1 is CocaCola\n",
        "                    cocacola_timestamps.append(timestamps[i])\n",
        "\n",
        "    return pepsi_timestamps, cocacola_timestamps"
      ],
      "metadata": {
        "id": "4HKhZtMnfWQ2"
      },
      "execution_count": 9,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "# Function to save results in a JSON file\n",
        "def save_results(pepsi_timestamps, cocacola_timestamps, output_path='results.json'):\n",
        "    results = {\n",
        "        \"Pepsi_pts\": pepsi_timestamps,\n",
        "        \"CocaCola_pts\": cocacola_timestamps\n",
        "    }\n",
        "    with open(output_path, 'w') as f:\n",
        "        json.dump(results, f)\n"
      ],
      "metadata": {
        "id": "n4xtHHA7fZ_Q"
      },
      "execution_count": 10,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "video_path = '/content/Coke_Pepsi_Video.mp4'\n",
        "frames, timestamps = extract_frames(video_path)\n",
        "pepsi_timestamps, cocacola_timestamps = detect_logos(model, frames, timestamps)\n",
        "save_results(pepsi_timestamps, cocacola_timestamps)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "collapsed": true,
        "id": "7ibi8oc5fc-E",
        "outputId": "0b920343-2731-437a-9567-9d6df9136042"
      },
      "execution_count": 15,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "0: 384x640 (no detections), 862.3ms\n",
            "Speed: 5.0ms preprocess, 862.3ms inference, 0.8ms postprocess per image at shape (1, 3, 384, 640)\n",
            "\n",
            "0: 384x640 5 bottles, 2 cups, 1 dining table, 385.4ms\n",
            "Speed: 4.6ms preprocess, 385.4ms inference, 1.4ms postprocess per image at shape (1, 3, 384, 640)\n",
            "\n",
            "0: 384x640 5 bottles, 2 cups, 1 dining table, 394.0ms\n",
            "Speed: 3.6ms preprocess, 394.0ms inference, 1.1ms postprocess per image at shape (1, 3, 384, 640)\n",
            "\n",
            "0: 384x640 2 persons, 4 bottles, 2 cups, 392.3ms\n",
            "Speed: 3.9ms preprocess, 392.3ms inference, 1.1ms postprocess per image at shape (1, 3, 384, 640)\n",
            "\n",
            "0: 384x640 1 person, 3 bottles, 1 cup, 1 refrigerator, 387.7ms\n",
            "Speed: 5.2ms preprocess, 387.7ms inference, 1.1ms postprocess per image at shape (1, 3, 384, 640)\n",
            "\n",
            "0: 384x640 2 persons, 1 bottle, 2 cups, 1 dining table, 392.5ms\n",
            "Speed: 3.6ms preprocess, 392.5ms inference, 1.1ms postprocess per image at shape (1, 3, 384, 640)\n",
            "\n",
            "0: 384x640 1 bottle, 1 wine glass, 402.4ms\n",
            "Speed: 4.3ms preprocess, 402.4ms inference, 1.6ms postprocess per image at shape (1, 3, 384, 640)\n",
            "\n",
            "0: 384x640 2 persons, 2 bottles, 387.1ms\n",
            "Speed: 4.1ms preprocess, 387.1ms inference, 1.8ms postprocess per image at shape (1, 3, 384, 640)\n",
            "\n",
            "0: 384x640 2 persons, 1 bottle, 1 cell phone, 403.5ms\n",
            "Speed: 4.6ms preprocess, 403.5ms inference, 1.0ms postprocess per image at shape (1, 3, 384, 640)\n",
            "\n",
            "0: 384x640 2 persons, 1 bottle, 507.2ms\n",
            "Speed: 3.7ms preprocess, 507.2ms inference, 1.7ms postprocess per image at shape (1, 3, 384, 640)\n",
            "\n",
            "0: 384x640 2 persons, 1 cell phone, 1 scissors, 618.1ms\n",
            "Speed: 4.6ms preprocess, 618.1ms inference, 1.4ms postprocess per image at shape (1, 3, 384, 640)\n",
            "\n",
            "0: 384x640 2 persons, 601.0ms\n",
            "Speed: 3.7ms preprocess, 601.0ms inference, 1.4ms postprocess per image at shape (1, 3, 384, 640)\n",
            "\n",
            "0: 384x640 2 persons, 1 cell phone, 620.8ms\n",
            "Speed: 4.8ms preprocess, 620.8ms inference, 3.6ms postprocess per image at shape (1, 3, 384, 640)\n",
            "\n",
            "0: 384x640 2 vases, 648.7ms\n",
            "Speed: 3.5ms preprocess, 648.7ms inference, 1.6ms postprocess per image at shape (1, 3, 384, 640)\n",
            "\n",
            "0: 384x640 2 persons, 630.9ms\n",
            "Speed: 3.7ms preprocess, 630.9ms inference, 1.9ms postprocess per image at shape (1, 3, 384, 640)\n",
            "\n",
            "0: 384x640 1 person, 1 dining table, 407.4ms\n",
            "Speed: 3.8ms preprocess, 407.4ms inference, 1.1ms postprocess per image at shape (1, 3, 384, 640)\n",
            "\n",
            "0: 384x640 1 person, 1 dining table, 388.9ms\n",
            "Speed: 5.1ms preprocess, 388.9ms inference, 1.1ms postprocess per image at shape (1, 3, 384, 640)\n",
            "\n",
            "0: 384x640 2 persons, 1 cell phone, 400.4ms\n",
            "Speed: 4.6ms preprocess, 400.4ms inference, 1.3ms postprocess per image at shape (1, 3, 384, 640)\n",
            "\n",
            "0: 384x640 2 persons, 1 dining table, 1 scissors, 388.0ms\n",
            "Speed: 4.7ms preprocess, 388.0ms inference, 1.0ms postprocess per image at shape (1, 3, 384, 640)\n",
            "\n",
            "0: 384x640 2 persons, 1 cup, 1 dining table, 1 scissors, 390.2ms\n",
            "Speed: 4.5ms preprocess, 390.2ms inference, 1.0ms postprocess per image at shape (1, 3, 384, 640)\n",
            "\n",
            "0: 384x640 1 person, 1 cup, 1 scissors, 400.3ms\n",
            "Speed: 3.6ms preprocess, 400.3ms inference, 1.0ms postprocess per image at shape (1, 3, 384, 640)\n",
            "\n",
            "0: 384x640 2 persons, 1 dining table, 1 scissors, 377.9ms\n",
            "Speed: 3.6ms preprocess, 377.9ms inference, 1.1ms postprocess per image at shape (1, 3, 384, 640)\n",
            "\n",
            "0: 384x640 2 persons, 1 dining table, 2 scissorss, 399.1ms\n",
            "Speed: 3.5ms preprocess, 399.1ms inference, 1.1ms postprocess per image at shape (1, 3, 384, 640)\n",
            "\n",
            "0: 384x640 2 persons, 1 dining table, 380.2ms\n",
            "Speed: 3.7ms preprocess, 380.2ms inference, 1.1ms postprocess per image at shape (1, 3, 384, 640)\n",
            "\n",
            "0: 384x640 2 persons, 1 bottle, 1 cup, 1 dining table, 389.4ms\n",
            "Speed: 3.7ms preprocess, 389.4ms inference, 1.1ms postprocess per image at shape (1, 3, 384, 640)\n",
            "\n",
            "0: 384x640 1 person, 1 bottle, 1 cup, 1 dining table, 2 scissorss, 379.6ms\n",
            "Speed: 3.7ms preprocess, 379.6ms inference, 1.0ms postprocess per image at shape (1, 3, 384, 640)\n",
            "\n",
            "0: 384x640 1 bottle, 1 dining table, 1 toothbrush, 419.6ms\n",
            "Speed: 3.8ms preprocess, 419.6ms inference, 1.1ms postprocess per image at shape (1, 3, 384, 640)\n",
            "\n",
            "0: 384x640 1 person, 1 bottle, 1 scissors, 386.9ms\n",
            "Speed: 3.6ms preprocess, 386.9ms inference, 1.0ms postprocess per image at shape (1, 3, 384, 640)\n",
            "\n",
            "0: 384x640 2 persons, 1 bottle, 1 cup, 1 dining table, 2 scissorss, 396.2ms\n",
            "Speed: 3.6ms preprocess, 396.2ms inference, 1.1ms postprocess per image at shape (1, 3, 384, 640)\n",
            "\n",
            "0: 384x640 2 persons, 1 cell phone, 376.0ms\n",
            "Speed: 3.8ms preprocess, 376.0ms inference, 1.2ms postprocess per image at shape (1, 3, 384, 640)\n",
            "\n",
            "0: 384x640 2 persons, 1 cell phone, 1 scissors, 407.9ms\n",
            "Speed: 4.2ms preprocess, 407.9ms inference, 1.0ms postprocess per image at shape (1, 3, 384, 640)\n",
            "\n",
            "0: 384x640 2 persons, 1 frisbee, 1 scissors, 391.0ms\n",
            "Speed: 4.1ms preprocess, 391.0ms inference, 1.0ms postprocess per image at shape (1, 3, 384, 640)\n",
            "\n",
            "0: 384x640 1 person, 1 cell phone, 1 scissors, 402.7ms\n",
            "Speed: 4.9ms preprocess, 402.7ms inference, 1.1ms postprocess per image at shape (1, 3, 384, 640)\n",
            "\n",
            "0: 384x640 2 persons, 1 scissors, 388.7ms\n",
            "Speed: 4.2ms preprocess, 388.7ms inference, 1.1ms postprocess per image at shape (1, 3, 384, 640)\n",
            "\n",
            "0: 384x640 3 persons, 391.8ms\n",
            "Speed: 4.4ms preprocess, 391.8ms inference, 1.4ms postprocess per image at shape (1, 3, 384, 640)\n",
            "\n",
            "0: 384x640 2 persons, 1 remote, 397.8ms\n",
            "Speed: 3.4ms preprocess, 397.8ms inference, 1.0ms postprocess per image at shape (1, 3, 384, 640)\n",
            "\n",
            "0: 384x640 1 person, 1 snowboard, 1 cell phone, 387.5ms\n",
            "Speed: 4.6ms preprocess, 387.5ms inference, 1.1ms postprocess per image at shape (1, 3, 384, 640)\n",
            "\n",
            "0: 384x640 1 person, 1 cup, 393.0ms\n",
            "Speed: 4.1ms preprocess, 393.0ms inference, 1.1ms postprocess per image at shape (1, 3, 384, 640)\n",
            "\n",
            "0: 384x640 1 person, 1 cup, 1 spoon, 394.7ms\n",
            "Speed: 3.6ms preprocess, 394.7ms inference, 1.3ms postprocess per image at shape (1, 3, 384, 640)\n",
            "\n",
            "0: 384x640 1 person, 1 cup, 590.6ms\n",
            "Speed: 3.3ms preprocess, 590.6ms inference, 1.6ms postprocess per image at shape (1, 3, 384, 640)\n",
            "\n",
            "0: 384x640 1 person, 1 cup, 601.9ms\n",
            "Speed: 3.8ms preprocess, 601.9ms inference, 1.3ms postprocess per image at shape (1, 3, 384, 640)\n",
            "\n",
            "0: 384x640 1 cup, 617.1ms\n",
            "Speed: 3.5ms preprocess, 617.1ms inference, 1.5ms postprocess per image at shape (1, 3, 384, 640)\n",
            "\n",
            "0: 384x640 1 person, 2 cups, 606.5ms\n",
            "Speed: 3.8ms preprocess, 606.5ms inference, 3.8ms postprocess per image at shape (1, 3, 384, 640)\n",
            "\n",
            "0: 384x640 1 person, 1 cup, 1 dining table, 642.0ms\n",
            "Speed: 3.6ms preprocess, 642.0ms inference, 1.4ms postprocess per image at shape (1, 3, 384, 640)\n",
            "\n",
            "0: 384x640 1 person, 529.2ms\n",
            "Speed: 3.7ms preprocess, 529.2ms inference, 1.0ms postprocess per image at shape (1, 3, 384, 640)\n",
            "\n",
            "0: 384x640 1 person, 1 airplane, 382.7ms\n",
            "Speed: 4.1ms preprocess, 382.7ms inference, 1.0ms postprocess per image at shape (1, 3, 384, 640)\n",
            "\n",
            "0: 384x640 2 persons, 384.5ms\n",
            "Speed: 3.7ms preprocess, 384.5ms inference, 1.1ms postprocess per image at shape (1, 3, 384, 640)\n",
            "\n",
            "0: 384x640 2 persons, 1 suitcase, 393.8ms\n",
            "Speed: 3.4ms preprocess, 393.8ms inference, 1.2ms postprocess per image at shape (1, 3, 384, 640)\n",
            "\n",
            "0: 384x640 2 persons, 1 cup, 1 dining table, 383.3ms\n",
            "Speed: 3.5ms preprocess, 383.3ms inference, 1.1ms postprocess per image at shape (1, 3, 384, 640)\n",
            "\n",
            "0: 384x640 1 person, 1 bottle, 2 cups, 1 dining table, 396.6ms\n",
            "Speed: 3.4ms preprocess, 396.6ms inference, 1.1ms postprocess per image at shape (1, 3, 384, 640)\n",
            "\n",
            "0: 384x640 1 bottle, 1 dining table, 400.1ms\n",
            "Speed: 4.5ms preprocess, 400.1ms inference, 1.0ms postprocess per image at shape (1, 3, 384, 640)\n",
            "\n",
            "0: 384x640 2 persons, 2 cups, 374.2ms\n",
            "Speed: 3.8ms preprocess, 374.2ms inference, 1.1ms postprocess per image at shape (1, 3, 384, 640)\n",
            "\n",
            "0: 384x640 2 persons, 2 cups, 1 dining table, 404.2ms\n",
            "Speed: 4.2ms preprocess, 404.2ms inference, 1.3ms postprocess per image at shape (1, 3, 384, 640)\n",
            "\n",
            "0: 384x640 2 persons, 2 cups, 1 dining table, 375.9ms\n",
            "Speed: 3.7ms preprocess, 375.9ms inference, 1.1ms postprocess per image at shape (1, 3, 384, 640)\n",
            "\n",
            "0: 384x640 2 persons, 2 cups, 1 dining table, 396.7ms\n",
            "Speed: 3.2ms preprocess, 396.7ms inference, 1.0ms postprocess per image at shape (1, 3, 384, 640)\n",
            "\n",
            "0: 384x640 1 cup, 383.2ms\n",
            "Speed: 3.4ms preprocess, 383.2ms inference, 1.0ms postprocess per image at shape (1, 3, 384, 640)\n",
            "\n",
            "0: 384x640 1 person, 3 cups, 1 dining table, 398.0ms\n",
            "Speed: 3.7ms preprocess, 398.0ms inference, 1.0ms postprocess per image at shape (1, 3, 384, 640)\n",
            "\n",
            "0: 384x640 2 persons, 4 cups, 1 dining table, 475.3ms\n",
            "Speed: 3.5ms preprocess, 475.3ms inference, 1.1ms postprocess per image at shape (1, 3, 384, 640)\n",
            "\n",
            "0: 384x640 2 persons, 2 cups, 1 dining table, 385.2ms\n",
            "Speed: 4.3ms preprocess, 385.2ms inference, 1.1ms postprocess per image at shape (1, 3, 384, 640)\n",
            "\n",
            "0: 384x640 2 persons, 4 cups, 1 dining table, 463.6ms\n",
            "Speed: 3.6ms preprocess, 463.6ms inference, 1.1ms postprocess per image at shape (1, 3, 384, 640)\n",
            "\n",
            "0: 384x640 2 persons, 4 cups, 1 dining table, 383.5ms\n",
            "Speed: 3.7ms preprocess, 383.5ms inference, 1.4ms postprocess per image at shape (1, 3, 384, 640)\n",
            "\n",
            "0: 384x640 1 person, 1 cat, 2 bottles, 2 cups, 1 dining table, 405.3ms\n",
            "Speed: 4.2ms preprocess, 405.3ms inference, 1.1ms postprocess per image at shape (1, 3, 384, 640)\n",
            "\n",
            "0: 384x640 2 persons, 1 cup, 1 dining table, 381.3ms\n",
            "Speed: 4.4ms preprocess, 381.3ms inference, 1.0ms postprocess per image at shape (1, 3, 384, 640)\n",
            "\n",
            "0: 384x640 2 persons, 1 bottle, 3 cups, 1 dining table, 381.1ms\n",
            "Speed: 3.4ms preprocess, 381.1ms inference, 1.1ms postprocess per image at shape (1, 3, 384, 640)\n",
            "\n",
            "0: 384x640 2 persons, 1 cup, 1 dining table, 401.8ms\n",
            "Speed: 3.4ms preprocess, 401.8ms inference, 1.1ms postprocess per image at shape (1, 3, 384, 640)\n",
            "\n",
            "0: 384x640 2 persons, 2 cups, 1 dining table, 419.7ms\n",
            "Speed: 3.3ms preprocess, 419.7ms inference, 1.0ms postprocess per image at shape (1, 3, 384, 640)\n",
            "\n",
            "0: 384x640 1 person, 1 bottle, 1 cup, 1 dining table, 406.0ms\n",
            "Speed: 4.8ms preprocess, 406.0ms inference, 1.1ms postprocess per image at shape (1, 3, 384, 640)\n",
            "\n",
            "0: 384x640 3 persons, 1 cup, 2 dining tables, 373.4ms\n",
            "Speed: 4.5ms preprocess, 373.4ms inference, 1.1ms postprocess per image at shape (1, 3, 384, 640)\n",
            "\n",
            "0: 384x640 2 persons, 1 cup, 2 dining tables, 547.8ms\n",
            "Speed: 4.6ms preprocess, 547.8ms inference, 1.5ms postprocess per image at shape (1, 3, 384, 640)\n",
            "\n",
            "0: 384x640 2 persons, 1 cup, 1 dining table, 602.6ms\n",
            "Speed: 3.6ms preprocess, 602.6ms inference, 1.3ms postprocess per image at shape (1, 3, 384, 640)\n",
            "\n",
            "0: 384x640 2 persons, 1 cup, 594.6ms\n",
            "Speed: 4.1ms preprocess, 594.6ms inference, 1.7ms postprocess per image at shape (1, 3, 384, 640)\n",
            "\n",
            "0: 384x640 2 persons, 1 cup, 1 dining table, 602.1ms\n",
            "Speed: 3.5ms preprocess, 602.1ms inference, 1.3ms postprocess per image at shape (1, 3, 384, 640)\n",
            "\n",
            "0: 384x640 2 cups, 1 dining table, 640.3ms\n",
            "Speed: 3.7ms preprocess, 640.3ms inference, 2.5ms postprocess per image at shape (1, 3, 384, 640)\n",
            "\n",
            "0: 384x640 1 person, 1 bottle, 1 dining table, 636.9ms\n",
            "Speed: 3.5ms preprocess, 636.9ms inference, 1.5ms postprocess per image at shape (1, 3, 384, 640)\n",
            "\n",
            "0: 384x640 2 persons, 1 bottle, 1 cup, 438.7ms\n",
            "Speed: 3.5ms preprocess, 438.7ms inference, 1.0ms postprocess per image at shape (1, 3, 384, 640)\n",
            "\n",
            "0: 384x640 2 persons, 1 cup, 378.0ms\n",
            "Speed: 3.7ms preprocess, 378.0ms inference, 1.0ms postprocess per image at shape (1, 3, 384, 640)\n",
            "\n",
            "0: 384x640 2 persons, 1 scissors, 399.8ms\n",
            "Speed: 3.7ms preprocess, 399.8ms inference, 1.0ms postprocess per image at shape (1, 3, 384, 640)\n",
            "\n",
            "0: 384x640 2 persons, 384.1ms\n",
            "Speed: 4.4ms preprocess, 384.1ms inference, 1.2ms postprocess per image at shape (1, 3, 384, 640)\n",
            "\n",
            "0: 384x640 1 person, 1 cup, 1 dining table, 398.1ms\n",
            "Speed: 3.6ms preprocess, 398.1ms inference, 1.0ms postprocess per image at shape (1, 3, 384, 640)\n",
            "\n",
            "0: 384x640 1 person, 1 bottle, 1 cup, 2 dining tables, 379.4ms\n",
            "Speed: 4.7ms preprocess, 379.4ms inference, 1.0ms postprocess per image at shape (1, 3, 384, 640)\n",
            "\n",
            "0: 384x640 1 person, 1 bottle, 1 cup, 1 dining table, 387.1ms\n",
            "Speed: 4.8ms preprocess, 387.1ms inference, 1.0ms postprocess per image at shape (1, 3, 384, 640)\n",
            "\n",
            "0: 384x640 2 persons, 1 bottle, 1 cup, 1 dining table, 388.1ms\n",
            "Speed: 4.0ms preprocess, 388.1ms inference, 1.1ms postprocess per image at shape (1, 3, 384, 640)\n",
            "\n",
            "0: 384x640 2 persons, 1 cup, 1 dining table, 394.4ms\n",
            "Speed: 3.8ms preprocess, 394.4ms inference, 1.1ms postprocess per image at shape (1, 3, 384, 640)\n",
            "\n",
            "0: 384x640 2 persons, 390.4ms\n",
            "Speed: 2.8ms preprocess, 390.4ms inference, 1.0ms postprocess per image at shape (1, 3, 384, 640)\n",
            "\n",
            "0: 384x640 2 persons, 1 cup, 1 dining table, 396.1ms\n",
            "Speed: 4.9ms preprocess, 396.1ms inference, 1.2ms postprocess per image at shape (1, 3, 384, 640)\n",
            "\n",
            "0: 384x640 2 persons, 1 cup, 1 dining table, 381.8ms\n",
            "Speed: 4.8ms preprocess, 381.8ms inference, 1.1ms postprocess per image at shape (1, 3, 384, 640)\n",
            "\n",
            "0: 384x640 2 persons, 1 cup, 1 dining table, 405.0ms\n",
            "Speed: 3.5ms preprocess, 405.0ms inference, 1.5ms postprocess per image at shape (1, 3, 384, 640)\n",
            "\n",
            "0: 384x640 1 bottle, 2 dining tables, 370.7ms\n",
            "Speed: 4.5ms preprocess, 370.7ms inference, 1.1ms postprocess per image at shape (1, 3, 384, 640)\n",
            "\n",
            "0: 384x640 1 skateboard, 1 bottle, 1 dining table, 397.5ms\n",
            "Speed: 3.5ms preprocess, 397.5ms inference, 1.1ms postprocess per image at shape (1, 3, 384, 640)\n",
            "\n",
            "0: 384x640 1 bottle, 1 dining table, 385.8ms\n",
            "Speed: 4.1ms preprocess, 385.8ms inference, 1.0ms postprocess per image at shape (1, 3, 384, 640)\n",
            "\n",
            "0: 384x640 1 bottle, 1 dining table, 381.3ms\n",
            "Speed: 3.6ms preprocess, 381.3ms inference, 1.0ms postprocess per image at shape (1, 3, 384, 640)\n",
            "\n",
            "0: 384x640 2 bottles, 1 dining table, 401.5ms\n",
            "Speed: 4.4ms preprocess, 401.5ms inference, 1.0ms postprocess per image at shape (1, 3, 384, 640)\n",
            "\n",
            "0: 384x640 1 bottle, 1 dining table, 414.4ms\n",
            "Speed: 3.6ms preprocess, 414.4ms inference, 1.0ms postprocess per image at shape (1, 3, 384, 640)\n",
            "\n",
            "0: 384x640 2 persons, 1 cup, 1 dining table, 379.4ms\n",
            "Speed: 3.3ms preprocess, 379.4ms inference, 1.1ms postprocess per image at shape (1, 3, 384, 640)\n",
            "\n",
            "0: 384x640 2 persons, 1 bottle, 394.7ms\n",
            "Speed: 3.5ms preprocess, 394.7ms inference, 1.1ms postprocess per image at shape (1, 3, 384, 640)\n",
            "\n",
            "0: 384x640 3 persons, 373.3ms\n",
            "Speed: 3.4ms preprocess, 373.3ms inference, 1.0ms postprocess per image at shape (1, 3, 384, 640)\n",
            "\n",
            "0: 384x640 2 persons, 407.9ms\n",
            "Speed: 4.0ms preprocess, 407.9ms inference, 1.2ms postprocess per image at shape (1, 3, 384, 640)\n",
            "\n",
            "0: 384x640 4 persons, 393.8ms\n",
            "Speed: 4.3ms preprocess, 393.8ms inference, 1.0ms postprocess per image at shape (1, 3, 384, 640)\n",
            "\n",
            "0: 384x640 2 persons, 1 bottle, 1 wine glass, 538.3ms\n",
            "Speed: 4.8ms preprocess, 538.3ms inference, 1.5ms postprocess per image at shape (1, 3, 384, 640)\n",
            "\n",
            "0: 384x640 1 person, 1 dog, 595.5ms\n",
            "Speed: 4.9ms preprocess, 595.5ms inference, 1.5ms postprocess per image at shape (1, 3, 384, 640)\n",
            "\n",
            "0: 384x640 2 persons, 618.6ms\n",
            "Speed: 4.2ms preprocess, 618.6ms inference, 1.4ms postprocess per image at shape (1, 3, 384, 640)\n",
            "\n",
            "0: 384x640 1 person, 610.4ms\n",
            "Speed: 5.0ms preprocess, 610.4ms inference, 1.4ms postprocess per image at shape (1, 3, 384, 640)\n",
            "\n",
            "0: 384x640 3 persons, 1 cat, 647.9ms\n",
            "Speed: 3.6ms preprocess, 647.9ms inference, 1.6ms postprocess per image at shape (1, 3, 384, 640)\n",
            "\n",
            "0: 384x640 1 person, 2 cats, 1 remote, 632.6ms\n",
            "Speed: 4.0ms preprocess, 632.6ms inference, 1.8ms postprocess per image at shape (1, 3, 384, 640)\n",
            "\n",
            "0: 384x640 1 person, 423.8ms\n",
            "Speed: 3.9ms preprocess, 423.8ms inference, 1.1ms postprocess per image at shape (1, 3, 384, 640)\n",
            "\n",
            "0: 384x640 1 person, 399.4ms\n",
            "Speed: 3.9ms preprocess, 399.4ms inference, 1.5ms postprocess per image at shape (1, 3, 384, 640)\n",
            "\n",
            "0: 384x640 2 persons, 1 dog, 390.1ms\n",
            "Speed: 4.3ms preprocess, 390.1ms inference, 1.0ms postprocess per image at shape (1, 3, 384, 640)\n",
            "\n",
            "0: 384x640 2 persons, 385.7ms\n",
            "Speed: 4.4ms preprocess, 385.7ms inference, 1.5ms postprocess per image at shape (1, 3, 384, 640)\n",
            "\n",
            "0: 384x640 1 person, 382.6ms\n",
            "Speed: 4.3ms preprocess, 382.6ms inference, 1.0ms postprocess per image at shape (1, 3, 384, 640)\n",
            "\n",
            "0: 384x640 2 persons, 1 bottle, 1 cell phone, 371.1ms\n",
            "Speed: 3.4ms preprocess, 371.1ms inference, 1.0ms postprocess per image at shape (1, 3, 384, 640)\n",
            "\n",
            "0: 384x640 3 persons, 1 hair drier, 403.3ms\n",
            "Speed: 4.3ms preprocess, 403.3ms inference, 1.0ms postprocess per image at shape (1, 3, 384, 640)\n",
            "\n",
            "0: 384x640 3 persons, 1 bottle, 1 cell phone, 384.7ms\n",
            "Speed: 3.4ms preprocess, 384.7ms inference, 1.0ms postprocess per image at shape (1, 3, 384, 640)\n",
            "\n",
            "0: 384x640 4 persons, 1 cell phone, 395.5ms\n",
            "Speed: 3.5ms preprocess, 395.5ms inference, 1.5ms postprocess per image at shape (1, 3, 384, 640)\n",
            "\n",
            "0: 384x640 1 person, 1 cup, 377.9ms\n",
            "Speed: 5.1ms preprocess, 377.9ms inference, 1.4ms postprocess per image at shape (1, 3, 384, 640)\n",
            "\n",
            "0: 384x640 1 person, 4 cups, 2 scissorss, 391.8ms\n",
            "Speed: 4.7ms preprocess, 391.8ms inference, 1.3ms postprocess per image at shape (1, 3, 384, 640)\n",
            "\n",
            "0: 384x640 1 person, 388.9ms\n",
            "Speed: 3.7ms preprocess, 388.9ms inference, 1.0ms postprocess per image at shape (1, 3, 384, 640)\n",
            "\n",
            "0: 384x640 1 person, 385.9ms\n",
            "Speed: 4.3ms preprocess, 385.9ms inference, 1.0ms postprocess per image at shape (1, 3, 384, 640)\n",
            "\n",
            "0: 384x640 1 person, 1 scissors, 396.6ms\n",
            "Speed: 4.3ms preprocess, 396.6ms inference, 1.4ms postprocess per image at shape (1, 3, 384, 640)\n",
            "\n",
            "0: 384x640 2 persons, 1 hair drier, 392.4ms\n",
            "Speed: 3.5ms preprocess, 392.4ms inference, 1.1ms postprocess per image at shape (1, 3, 384, 640)\n",
            "\n",
            "0: 384x640 2 persons, 387.3ms\n",
            "Speed: 4.4ms preprocess, 387.3ms inference, 1.1ms postprocess per image at shape (1, 3, 384, 640)\n",
            "\n",
            "0: 384x640 1 person, 1 surfboard, 410.5ms\n",
            "Speed: 5.5ms preprocess, 410.5ms inference, 1.3ms postprocess per image at shape (1, 3, 384, 640)\n",
            "\n",
            "0: 384x640 1 person, 373.7ms\n",
            "Speed: 4.4ms preprocess, 373.7ms inference, 1.0ms postprocess per image at shape (1, 3, 384, 640)\n",
            "\n",
            "0: 384x640 1 person, 410.2ms\n",
            "Speed: 4.6ms preprocess, 410.2ms inference, 1.0ms postprocess per image at shape (1, 3, 384, 640)\n",
            "\n",
            "0: 384x640 1 scissors, 382.3ms\n",
            "Speed: 4.5ms preprocess, 382.3ms inference, 1.1ms postprocess per image at shape (1, 3, 384, 640)\n",
            "\n",
            "0: 384x640 2 persons, 1 bottle, 389.0ms\n",
            "Speed: 4.0ms preprocess, 389.0ms inference, 1.1ms postprocess per image at shape (1, 3, 384, 640)\n",
            "\n",
            "0: 384x640 2 persons, 1 hot dog, 1 cell phone, 392.3ms\n",
            "Speed: 3.9ms preprocess, 392.3ms inference, 1.1ms postprocess per image at shape (1, 3, 384, 640)\n",
            "\n",
            "0: 384x640 2 persons, 1 cell phone, 388.8ms\n",
            "Speed: 3.5ms preprocess, 388.8ms inference, 1.0ms postprocess per image at shape (1, 3, 384, 640)\n",
            "\n",
            "0: 384x640 1 person, 1 skis, 1 bottle, 401.8ms\n",
            "Speed: 4.5ms preprocess, 401.8ms inference, 1.6ms postprocess per image at shape (1, 3, 384, 640)\n",
            "\n",
            "0: 384x640 1 person, 1 cup, 1 scissors, 574.9ms\n",
            "Speed: 4.3ms preprocess, 574.9ms inference, 1.7ms postprocess per image at shape (1, 3, 384, 640)\n",
            "\n",
            "0: 384x640 1 person, 622.3ms\n",
            "Speed: 4.0ms preprocess, 622.3ms inference, 1.5ms postprocess per image at shape (1, 3, 384, 640)\n",
            "\n",
            "0: 384x640 2 persons, 1 skis, 1 cell phone, 722.5ms\n",
            "Speed: 4.1ms preprocess, 722.5ms inference, 1.4ms postprocess per image at shape (1, 3, 384, 640)\n",
            "\n",
            "0: 384x640 2 persons, 1 hair drier, 642.4ms\n",
            "Speed: 3.6ms preprocess, 642.4ms inference, 1.4ms postprocess per image at shape (1, 3, 384, 640)\n",
            "\n",
            "0: 384x640 1 person, 641.4ms\n",
            "Speed: 3.5ms preprocess, 641.4ms inference, 1.5ms postprocess per image at shape (1, 3, 384, 640)\n",
            "\n",
            "0: 384x640 1 person, 1 cup, 1 scissors, 488.8ms\n",
            "Speed: 3.6ms preprocess, 488.8ms inference, 1.0ms postprocess per image at shape (1, 3, 384, 640)\n",
            "\n",
            "0: 384x640 2 persons, 1 cup, 1 scissors, 387.6ms\n",
            "Speed: 4.0ms preprocess, 387.6ms inference, 1.1ms postprocess per image at shape (1, 3, 384, 640)\n",
            "\n",
            "0: 384x640 1 person, 1 cup, 1 scissors, 370.6ms\n",
            "Speed: 3.9ms preprocess, 370.6ms inference, 1.0ms postprocess per image at shape (1, 3, 384, 640)\n",
            "\n",
            "0: 384x640 1 person, 1 cup, 1 scissors, 386.2ms\n",
            "Speed: 4.2ms preprocess, 386.2ms inference, 1.1ms postprocess per image at shape (1, 3, 384, 640)\n",
            "\n",
            "0: 384x640 1 cup, 1 scissors, 383.6ms\n",
            "Speed: 3.5ms preprocess, 383.6ms inference, 1.1ms postprocess per image at shape (1, 3, 384, 640)\n",
            "\n",
            "0: 384x640 1 person, 1 cup, 402.4ms\n",
            "Speed: 4.6ms preprocess, 402.4ms inference, 1.0ms postprocess per image at shape (1, 3, 384, 640)\n",
            "\n",
            "0: 384x640 1 person, 1 cup, 1 scissors, 407.1ms\n",
            "Speed: 3.8ms preprocess, 407.1ms inference, 1.2ms postprocess per image at shape (1, 3, 384, 640)\n",
            "\n",
            "0: 384x640 1 cup, 1 scissors, 400.1ms\n",
            "Speed: 3.8ms preprocess, 400.1ms inference, 2.3ms postprocess per image at shape (1, 3, 384, 640)\n",
            "\n",
            "0: 384x640 1 person, 1 cup, 388.5ms\n",
            "Speed: 3.7ms preprocess, 388.5ms inference, 1.0ms postprocess per image at shape (1, 3, 384, 640)\n",
            "\n",
            "0: 384x640 3 persons, 1 cell phone, 406.6ms\n",
            "Speed: 4.7ms preprocess, 406.6ms inference, 1.1ms postprocess per image at shape (1, 3, 384, 640)\n",
            "\n",
            "0: 384x640 2 persons, 1 cup, 1 dining table, 390.1ms\n",
            "Speed: 4.3ms preprocess, 390.1ms inference, 1.1ms postprocess per image at shape (1, 3, 384, 640)\n",
            "\n",
            "0: 384x640 2 persons, 1 cup, 1 cell phone, 395.5ms\n",
            "Speed: 4.5ms preprocess, 395.5ms inference, 1.1ms postprocess per image at shape (1, 3, 384, 640)\n",
            "\n",
            "0: 384x640 3 persons, 385.9ms\n",
            "Speed: 3.9ms preprocess, 385.9ms inference, 1.1ms postprocess per image at shape (1, 3, 384, 640)\n",
            "\n",
            "0: 384x640 2 persons, 1 cup, 382.2ms\n",
            "Speed: 3.7ms preprocess, 382.2ms inference, 1.1ms postprocess per image at shape (1, 3, 384, 640)\n",
            "\n",
            "0: 384x640 3 persons, 1 cell phone, 395.6ms\n",
            "Speed: 4.6ms preprocess, 395.6ms inference, 1.4ms postprocess per image at shape (1, 3, 384, 640)\n",
            "\n",
            "0: 384x640 2 persons, 385.1ms\n",
            "Speed: 5.3ms preprocess, 385.1ms inference, 1.1ms postprocess per image at shape (1, 3, 384, 640)\n",
            "\n",
            "0: 384x640 1 person, 1 cup, 1 dining table, 387.1ms\n",
            "Speed: 3.6ms preprocess, 387.1ms inference, 1.1ms postprocess per image at shape (1, 3, 384, 640)\n",
            "\n",
            "0: 384x640 (no detections), 392.1ms\n",
            "Speed: 3.7ms preprocess, 392.1ms inference, 0.7ms postprocess per image at shape (1, 3, 384, 640)\n",
            "\n",
            "0: 384x640 2 persons, 1 bottle, 2 cups, 1 dining table, 380.2ms\n",
            "Speed: 3.3ms preprocess, 380.2ms inference, 1.1ms postprocess per image at shape (1, 3, 384, 640)\n",
            "\n",
            "0: 384x640 2 persons, 1 bottle, 1 cup, 1 dining table, 399.9ms\n",
            "Speed: 4.5ms preprocess, 399.9ms inference, 1.1ms postprocess per image at shape (1, 3, 384, 640)\n",
            "\n",
            "0: 384x640 2 persons, 1 book, 383.4ms\n",
            "Speed: 3.4ms preprocess, 383.4ms inference, 1.0ms postprocess per image at shape (1, 3, 384, 640)\n",
            "\n",
            "0: 384x640 2 persons, 1 bottle, 396.0ms\n",
            "Speed: 5.0ms preprocess, 396.0ms inference, 1.1ms postprocess per image at shape (1, 3, 384, 640)\n",
            "\n",
            "0: 384x640 3 persons, 1 bottle, 1 cup, 1 dining table, 393.0ms\n",
            "Speed: 3.6ms preprocess, 393.0ms inference, 1.1ms postprocess per image at shape (1, 3, 384, 640)\n",
            "\n",
            "0: 384x640 1 person, 393.4ms\n",
            "Speed: 4.5ms preprocess, 393.4ms inference, 1.2ms postprocess per image at shape (1, 3, 384, 640)\n",
            "\n",
            "0: 384x640 2 persons, 487.2ms\n",
            "Speed: 3.6ms preprocess, 487.2ms inference, 1.5ms postprocess per image at shape (1, 3, 384, 640)\n",
            "\n",
            "0: 384x640 2 persons, 616.3ms\n",
            "Speed: 3.6ms preprocess, 616.3ms inference, 1.6ms postprocess per image at shape (1, 3, 384, 640)\n",
            "\n",
            "0: 384x640 1 person, 1 bottle, 598.7ms\n",
            "Speed: 8.2ms preprocess, 598.7ms inference, 1.3ms postprocess per image at shape (1, 3, 384, 640)\n",
            "\n",
            "0: 384x640 1 person, 1 book, 612.7ms\n",
            "Speed: 3.8ms preprocess, 612.7ms inference, 1.3ms postprocess per image at shape (1, 3, 384, 640)\n",
            "\n",
            "0: 384x640 1 person, 1 book, 617.6ms\n",
            "Speed: 3.7ms preprocess, 617.6ms inference, 1.4ms postprocess per image at shape (1, 3, 384, 640)\n",
            "\n",
            "0: 384x640 1 person, 654.2ms\n",
            "Speed: 3.5ms preprocess, 654.2ms inference, 1.5ms postprocess per image at shape (1, 3, 384, 640)\n",
            "\n",
            "0: 384x640 1 person, 400.2ms\n",
            "Speed: 5.9ms preprocess, 400.2ms inference, 1.0ms postprocess per image at shape (1, 3, 384, 640)\n",
            "\n",
            "0: 384x640 1 person, 402.3ms\n",
            "Speed: 3.6ms preprocess, 402.3ms inference, 1.3ms postprocess per image at shape (1, 3, 384, 640)\n",
            "\n",
            "0: 384x640 1 bottle, 1 cell phone, 374.9ms\n",
            "Speed: 4.0ms preprocess, 374.9ms inference, 1.0ms postprocess per image at shape (1, 3, 384, 640)\n",
            "\n",
            "0: 384x640 1 person, 1 tie, 1 bottle, 1 cell phone, 396.8ms\n",
            "Speed: 5.0ms preprocess, 396.8ms inference, 1.0ms postprocess per image at shape (1, 3, 384, 640)\n",
            "\n",
            "0: 384x640 2 persons, 379.0ms\n",
            "Speed: 4.2ms preprocess, 379.0ms inference, 1.4ms postprocess per image at shape (1, 3, 384, 640)\n",
            "\n",
            "0: 384x640 1 person, 1 tie, 1 bottle, 401.3ms\n",
            "Speed: 4.2ms preprocess, 401.3ms inference, 1.1ms postprocess per image at shape (1, 3, 384, 640)\n",
            "\n",
            "0: 384x640 1 person, 1 tie, 393.2ms\n",
            "Speed: 3.6ms preprocess, 393.2ms inference, 1.2ms postprocess per image at shape (1, 3, 384, 640)\n",
            "\n",
            "0: 384x640 (no detections), 394.2ms\n",
            "Speed: 3.7ms preprocess, 394.2ms inference, 0.7ms postprocess per image at shape (1, 3, 384, 640)\n",
            "\n",
            "0: 384x640 1 person, 412.8ms\n",
            "Speed: 4.3ms preprocess, 412.8ms inference, 1.3ms postprocess per image at shape (1, 3, 384, 640)\n",
            "\n",
            "0: 384x640 3 persons, 1 cell phone, 397.6ms\n",
            "Speed: 5.3ms preprocess, 397.6ms inference, 1.0ms postprocess per image at shape (1, 3, 384, 640)\n",
            "\n",
            "0: 384x640 1 person, 1 cup, 1 dining table, 381.8ms\n",
            "Speed: 4.9ms preprocess, 381.8ms inference, 1.2ms postprocess per image at shape (1, 3, 384, 640)\n",
            "\n",
            "0: 384x640 1 person, 1 bottle, 1 dining table, 410.0ms\n",
            "Speed: 5.1ms preprocess, 410.0ms inference, 1.3ms postprocess per image at shape (1, 3, 384, 640)\n",
            "\n",
            "0: 384x640 2 persons, 1 bottle, 1 knife, 1 dining table, 390.5ms\n",
            "Speed: 3.8ms preprocess, 390.5ms inference, 1.3ms postprocess per image at shape (1, 3, 384, 640)\n",
            "\n",
            "0: 384x640 2 persons, 1 bottle, 1 knife, 1 dining table, 407.8ms\n",
            "Speed: 4.6ms preprocess, 407.8ms inference, 1.1ms postprocess per image at shape (1, 3, 384, 640)\n",
            "\n",
            "0: 384x640 1 person, 1 bottle, 1 knife, 1 dining table, 376.9ms\n",
            "Speed: 3.9ms preprocess, 376.9ms inference, 1.6ms postprocess per image at shape (1, 3, 384, 640)\n",
            "\n",
            "0: 384x640 1 person, 1 bottle, 2 knifes, 1 dining table, 410.0ms\n",
            "Speed: 5.1ms preprocess, 410.0ms inference, 1.6ms postprocess per image at shape (1, 3, 384, 640)\n",
            "\n",
            "0: 384x640 1 bottle, 2 knifes, 1 dining table, 381.3ms\n",
            "Speed: 3.7ms preprocess, 381.3ms inference, 1.2ms postprocess per image at shape (1, 3, 384, 640)\n",
            "\n",
            "0: 384x640 1 bottle, 1 knife, 1 dining table, 382.4ms\n",
            "Speed: 4.9ms preprocess, 382.4ms inference, 1.1ms postprocess per image at shape (1, 3, 384, 640)\n",
            "\n",
            "0: 384x640 1 person, 1 bottle, 399.6ms\n",
            "Speed: 3.2ms preprocess, 399.6ms inference, 1.2ms postprocess per image at shape (1, 3, 384, 640)\n",
            "\n",
            "0: 384x640 1 person, 1 bottle, 383.1ms\n",
            "Speed: 3.8ms preprocess, 383.1ms inference, 1.1ms postprocess per image at shape (1, 3, 384, 640)\n",
            "\n",
            "0: 384x640 1 person, 1 bottle, 391.8ms\n",
            "Speed: 4.7ms preprocess, 391.8ms inference, 1.5ms postprocess per image at shape (1, 3, 384, 640)\n",
            "\n",
            "0: 384x640 1 person, 1 bottle, 395.9ms\n",
            "Speed: 3.7ms preprocess, 395.9ms inference, 1.1ms postprocess per image at shape (1, 3, 384, 640)\n",
            "\n",
            "0: 384x640 1 person, 1 bottle, 1 cup, 383.6ms\n",
            "Speed: 4.5ms preprocess, 383.6ms inference, 1.4ms postprocess per image at shape (1, 3, 384, 640)\n",
            "\n",
            "0: 384x640 1 person, 1 cup, 411.4ms\n",
            "Speed: 4.8ms preprocess, 411.4ms inference, 1.1ms postprocess per image at shape (1, 3, 384, 640)\n",
            "\n",
            "0: 384x640 1 cup, 601.1ms\n",
            "Speed: 3.7ms preprocess, 601.1ms inference, 1.6ms postprocess per image at shape (1, 3, 384, 640)\n",
            "\n",
            "0: 384x640 1 person, 591.7ms\n",
            "Speed: 3.8ms preprocess, 591.7ms inference, 1.3ms postprocess per image at shape (1, 3, 384, 640)\n",
            "\n",
            "0: 384x640 1 person, 1 bus, 586.0ms\n",
            "Speed: 3.6ms preprocess, 586.0ms inference, 1.5ms postprocess per image at shape (1, 3, 384, 640)\n",
            "\n",
            "0: 384x640 3 persons, 617.8ms\n",
            "Speed: 4.1ms preprocess, 617.8ms inference, 1.4ms postprocess per image at shape (1, 3, 384, 640)\n",
            "\n",
            "0: 384x640 1 person, 647.7ms\n",
            "Speed: 3.6ms preprocess, 647.7ms inference, 1.5ms postprocess per image at shape (1, 3, 384, 640)\n",
            "\n",
            "0: 384x640 1 bed, 515.6ms\n",
            "Speed: 3.6ms preprocess, 515.6ms inference, 1.3ms postprocess per image at shape (1, 3, 384, 640)\n",
            "\n",
            "0: 384x640 1 person, 1 cell phone, 388.0ms\n",
            "Speed: 3.4ms preprocess, 388.0ms inference, 1.0ms postprocess per image at shape (1, 3, 384, 640)\n",
            "\n",
            "0: 384x640 1 person, 1 cell phone, 423.6ms\n",
            "Speed: 3.4ms preprocess, 423.6ms inference, 1.1ms postprocess per image at shape (1, 3, 384, 640)\n",
            "\n",
            "0: 384x640 1 person, 1 book, 378.5ms\n",
            "Speed: 3.4ms preprocess, 378.5ms inference, 1.0ms postprocess per image at shape (1, 3, 384, 640)\n",
            "\n",
            "0: 384x640 1 person, 1 scissors, 397.8ms\n",
            "Speed: 4.6ms preprocess, 397.8ms inference, 1.1ms postprocess per image at shape (1, 3, 384, 640)\n",
            "\n",
            "0: 384x640 1 person, 1 scissors, 374.2ms\n",
            "Speed: 3.8ms preprocess, 374.2ms inference, 1.5ms postprocess per image at shape (1, 3, 384, 640)\n",
            "\n",
            "0: 384x640 1 airplane, 401.7ms\n",
            "Speed: 4.1ms preprocess, 401.7ms inference, 1.0ms postprocess per image at shape (1, 3, 384, 640)\n",
            "\n",
            "0: 384x640 1 person, 384.5ms\n",
            "Speed: 3.7ms preprocess, 384.5ms inference, 1.0ms postprocess per image at shape (1, 3, 384, 640)\n",
            "\n",
            "0: 384x640 1 person, 388.9ms\n",
            "Speed: 5.6ms preprocess, 388.9ms inference, 1.1ms postprocess per image at shape (1, 3, 384, 640)\n",
            "\n",
            "0: 384x640 1 person, 1 book, 400.3ms\n",
            "Speed: 3.6ms preprocess, 400.3ms inference, 1.3ms postprocess per image at shape (1, 3, 384, 640)\n",
            "\n",
            "0: 384x640 1 person, 1 surfboard, 390.1ms\n",
            "Speed: 5.1ms preprocess, 390.1ms inference, 1.0ms postprocess per image at shape (1, 3, 384, 640)\n",
            "\n",
            "0: 384x640 1 person, 392.7ms\n",
            "Speed: 3.7ms preprocess, 392.7ms inference, 1.1ms postprocess per image at shape (1, 3, 384, 640)\n",
            "\n",
            "0: 384x640 1 person, 396.3ms\n",
            "Speed: 3.7ms preprocess, 396.3ms inference, 1.3ms postprocess per image at shape (1, 3, 384, 640)\n",
            "\n",
            "0: 384x640 1 person, 2 cell phones, 385.8ms\n",
            "Speed: 4.3ms preprocess, 385.8ms inference, 1.5ms postprocess per image at shape (1, 3, 384, 640)\n",
            "\n",
            "0: 384x640 2 persons, 1 scissors, 408.3ms\n",
            "Speed: 4.3ms preprocess, 408.3ms inference, 1.1ms postprocess per image at shape (1, 3, 384, 640)\n",
            "\n",
            "0: 384x640 1 person, 389.0ms\n",
            "Speed: 4.5ms preprocess, 389.0ms inference, 1.0ms postprocess per image at shape (1, 3, 384, 640)\n",
            "\n",
            "0: 384x640 2 persons, 402.9ms\n",
            "Speed: 5.1ms preprocess, 402.9ms inference, 1.0ms postprocess per image at shape (1, 3, 384, 640)\n",
            "\n",
            "0: 384x640 1 person, 380.8ms\n",
            "Speed: 3.5ms preprocess, 380.8ms inference, 1.0ms postprocess per image at shape (1, 3, 384, 640)\n",
            "\n",
            "0: 384x640 3 persons, 382.6ms\n",
            "Speed: 3.8ms preprocess, 382.6ms inference, 3.8ms postprocess per image at shape (1, 3, 384, 640)\n",
            "\n",
            "0: 384x640 1 person, 384.3ms\n",
            "Speed: 3.6ms preprocess, 384.3ms inference, 1.2ms postprocess per image at shape (1, 3, 384, 640)\n",
            "\n",
            "0: 384x640 1 person, 394.8ms\n",
            "Speed: 3.8ms preprocess, 394.8ms inference, 1.0ms postprocess per image at shape (1, 3, 384, 640)\n",
            "\n",
            "0: 384x640 1 person, 391.5ms\n",
            "Speed: 3.4ms preprocess, 391.5ms inference, 1.1ms postprocess per image at shape (1, 3, 384, 640)\n",
            "\n",
            "0: 384x640 1 person, 1 cell phone, 388.3ms\n",
            "Speed: 4.1ms preprocess, 388.3ms inference, 1.0ms postprocess per image at shape (1, 3, 384, 640)\n",
            "\n",
            "0: 384x640 2 persons, 380.0ms\n",
            "Speed: 3.7ms preprocess, 380.0ms inference, 1.7ms postprocess per image at shape (1, 3, 384, 640)\n",
            "\n",
            "0: 384x640 2 persons, 1 cup, 1 dining table, 506.5ms\n",
            "Speed: 4.5ms preprocess, 506.5ms inference, 1.6ms postprocess per image at shape (1, 3, 384, 640)\n",
            "\n",
            "0: 384x640 2 persons, 1 bottle, 1 dining table, 619.6ms\n",
            "Speed: 5.6ms preprocess, 619.6ms inference, 1.3ms postprocess per image at shape (1, 3, 384, 640)\n",
            "\n",
            "0: 384x640 (no detections), 610.6ms\n",
            "Speed: 5.4ms preprocess, 610.6ms inference, 3.6ms postprocess per image at shape (1, 3, 384, 640)\n",
            "\n",
            "0: 384x640 1 airplane, 1 bird, 625.1ms\n",
            "Speed: 3.7ms preprocess, 625.1ms inference, 1.5ms postprocess per image at shape (1, 3, 384, 640)\n",
            "\n",
            "0: 384x640 1 person, 674.4ms\n",
            "Speed: 6.0ms preprocess, 674.4ms inference, 6.5ms postprocess per image at shape (1, 3, 384, 640)\n",
            "\n",
            "0: 384x640 (no detections), 601.3ms\n",
            "Speed: 3.6ms preprocess, 601.3ms inference, 1.0ms postprocess per image at shape (1, 3, 384, 640)\n",
            "\n",
            "0: 384x640 2 persons, 1 cup, 1 dining table, 1 scissors, 425.6ms\n",
            "Speed: 3.7ms preprocess, 425.6ms inference, 1.1ms postprocess per image at shape (1, 3, 384, 640)\n",
            "\n",
            "0: 384x640 4 persons, 1 scissors, 380.2ms\n",
            "Speed: 3.6ms preprocess, 380.2ms inference, 1.0ms postprocess per image at shape (1, 3, 384, 640)\n",
            "\n",
            "0: 384x640 3 persons, 1 scissors, 389.4ms\n",
            "Speed: 4.0ms preprocess, 389.4ms inference, 1.3ms postprocess per image at shape (1, 3, 384, 640)\n",
            "\n",
            "0: 384x640 3 persons, 1 cup, 1 scissors, 390.2ms\n",
            "Speed: 5.3ms preprocess, 390.2ms inference, 1.1ms postprocess per image at shape (1, 3, 384, 640)\n",
            "\n",
            "0: 384x640 2 persons, 1 cup, 1 scissors, 393.7ms\n",
            "Speed: 3.5ms preprocess, 393.7ms inference, 1.0ms postprocess per image at shape (1, 3, 384, 640)\n",
            "\n",
            "0: 384x640 2 persons, 1 scissors, 403.7ms\n",
            "Speed: 4.7ms preprocess, 403.7ms inference, 1.3ms postprocess per image at shape (1, 3, 384, 640)\n",
            "\n",
            "0: 384x640 3 persons, 1 scissors, 388.4ms\n",
            "Speed: 3.5ms preprocess, 388.4ms inference, 1.1ms postprocess per image at shape (1, 3, 384, 640)\n",
            "\n",
            "0: 384x640 2 persons, 1 scissors, 388.2ms\n",
            "Speed: 4.1ms preprocess, 388.2ms inference, 1.3ms postprocess per image at shape (1, 3, 384, 640)\n",
            "\n",
            "0: 384x640 1 person, 1 mouse, 1 scissors, 400.2ms\n",
            "Speed: 4.8ms preprocess, 400.2ms inference, 1.0ms postprocess per image at shape (1, 3, 384, 640)\n",
            "\n",
            "0: 384x640 2 persons, 2 scissorss, 387.6ms\n",
            "Speed: 4.2ms preprocess, 387.6ms inference, 1.3ms postprocess per image at shape (1, 3, 384, 640)\n",
            "\n",
            "0: 384x640 1 person, 1 frisbee, 398.4ms\n",
            "Speed: 4.4ms preprocess, 398.4ms inference, 1.0ms postprocess per image at shape (1, 3, 384, 640)\n",
            "\n",
            "0: 384x640 1 person, 375.3ms\n",
            "Speed: 4.3ms preprocess, 375.3ms inference, 1.0ms postprocess per image at shape (1, 3, 384, 640)\n",
            "\n",
            "0: 384x640 3 persons, 1 cup, 391.6ms\n",
            "Speed: 3.6ms preprocess, 391.6ms inference, 1.0ms postprocess per image at shape (1, 3, 384, 640)\n",
            "\n",
            "0: 384x640 2 persons, 1 bottle, 403.9ms\n",
            "Speed: 3.6ms preprocess, 403.9ms inference, 1.3ms postprocess per image at shape (1, 3, 384, 640)\n",
            "\n",
            "0: 384x640 2 persons, 1 bottle, 1 dining table, 407.5ms\n",
            "Speed: 3.5ms preprocess, 407.5ms inference, 1.1ms postprocess per image at shape (1, 3, 384, 640)\n",
            "\n",
            "0: 384x640 1 person, 1 baseball bat, 1 bottle, 1 cup, 1 dining table, 397.9ms\n",
            "Speed: 4.7ms preprocess, 397.9ms inference, 1.4ms postprocess per image at shape (1, 3, 384, 640)\n",
            "\n",
            "0: 384x640 1 person, 1 bottle, 1 cup, 1 dining table, 391.5ms\n",
            "Speed: 3.5ms preprocess, 391.5ms inference, 1.0ms postprocess per image at shape (1, 3, 384, 640)\n",
            "\n",
            "0: 384x640 1 bottle, 1 dining table, 392.7ms\n",
            "Speed: 3.8ms preprocess, 392.7ms inference, 1.1ms postprocess per image at shape (1, 3, 384, 640)\n",
            "\n",
            "0: 384x640 2 cups, 403.3ms\n",
            "Speed: 4.0ms preprocess, 403.3ms inference, 1.1ms postprocess per image at shape (1, 3, 384, 640)\n",
            "\n",
            "0: 384x640 2 cups, 1 spoon, 377.4ms\n",
            "Speed: 4.2ms preprocess, 377.4ms inference, 1.1ms postprocess per image at shape (1, 3, 384, 640)\n",
            "\n",
            "0: 384x640 1 baseball bat, 1 bottle, 1 cup, 402.5ms\n",
            "Speed: 4.4ms preprocess, 402.5ms inference, 1.1ms postprocess per image at shape (1, 3, 384, 640)\n",
            "\n",
            "0: 384x640 1 cup, 389.1ms\n",
            "Speed: 2.5ms preprocess, 389.1ms inference, 1.3ms postprocess per image at shape (1, 3, 384, 640)\n",
            "\n",
            "0: 384x640 1 cup, 379.0ms\n",
            "Speed: 3.9ms preprocess, 379.0ms inference, 1.0ms postprocess per image at shape (1, 3, 384, 640)\n",
            "\n",
            "0: 384x640 1 bottle, 1 cup, 390.4ms\n",
            "Speed: 4.1ms preprocess, 390.4ms inference, 1.0ms postprocess per image at shape (1, 3, 384, 640)\n",
            "\n",
            "0: 384x640 1 person, 2 scissorss, 590.9ms\n",
            "Speed: 6.2ms preprocess, 590.9ms inference, 1.5ms postprocess per image at shape (1, 3, 384, 640)\n",
            "\n",
            "0: 384x640 1 cup, 617.1ms\n",
            "Speed: 4.0ms preprocess, 617.1ms inference, 1.4ms postprocess per image at shape (1, 3, 384, 640)\n",
            "\n",
            "0: 384x640 2 persons, 1 cup, 1 scissors, 601.6ms\n",
            "Speed: 4.1ms preprocess, 601.6ms inference, 1.6ms postprocess per image at shape (1, 3, 384, 640)\n",
            "\n",
            "0: 384x640 1 person, 2 scissorss, 868.1ms\n",
            "Speed: 3.8ms preprocess, 868.1ms inference, 1.5ms postprocess per image at shape (1, 3, 384, 640)\n",
            "\n",
            "0: 384x640 1 person, 1 scissors, 656.8ms\n",
            "Speed: 3.7ms preprocess, 656.8ms inference, 1.7ms postprocess per image at shape (1, 3, 384, 640)\n",
            "\n",
            "0: 384x640 1 person, 2 scissorss, 585.5ms\n",
            "Speed: 3.8ms preprocess, 585.5ms inference, 1.0ms postprocess per image at shape (1, 3, 384, 640)\n",
            "\n",
            "0: 384x640 1 person, 1 frisbee, 404.2ms\n",
            "Speed: 4.7ms preprocess, 404.2ms inference, 1.1ms postprocess per image at shape (1, 3, 384, 640)\n",
            "\n",
            "0: 384x640 1 person, 1 cup, 1 scissors, 395.5ms\n",
            "Speed: 4.2ms preprocess, 395.5ms inference, 1.1ms postprocess per image at shape (1, 3, 384, 640)\n",
            "\n",
            "0: 384x640 1 person, 1 scissors, 405.5ms\n",
            "Speed: 4.6ms preprocess, 405.5ms inference, 1.5ms postprocess per image at shape (1, 3, 384, 640)\n"
          ]
        }
      ]
    }
  ]
}