2_implementation_of_video_stabilization.ipynb

{
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "buBfnyLLX5q3"
      },
      "source": [
        "# Digital Video Stabilization"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "3MUxudUo5A1O"
      },
      "source": [
        "This notebook explores state of the art methods of video stabilization. It benchmarks these methods on a specific dataset of shaky videos (from tennis table matches and swimming competitions). Then, we propose some innovative ideas and compare them with these methods.\n",
        "\n",
        "We will proceed as follows :\n",
        "\n",
        "\n",
        "*   Video stabilization definition and examples ( real shaky + artificially generated distabilized videos).\n",
        "*   State of the art methods.\n",
        "\n",
        "\n",
        "\n",
        "\n"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "!unzip samples.zip"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "JzsjWVSMLsgF",
        "outputId": "9097d999-bd6f-45d3-86ba-44271cfd0478"
      },
      "execution_count": 39,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Archive:  samples.zip\n",
            "   creating: samples/\n",
            "  inflating: samples/vibrate_randomly.mp4  \n",
            "  inflating: samples/vibrate_up_down.mp4  \n",
            "  inflating: samples/video_after_rotation.mp4  \n",
            "  inflating: samples/video_after_translation.mp4  \n",
            "  inflating: samples/videoplayback.mp4  \n",
            "  inflating: samples/vibration.mp4   \n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 41,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "hAERaQjEX4fK",
        "outputId": "54351a0d-cd64-4099-8704-1c23f146a6c7"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Requirement already satisfied: vidstab in /usr/local/lib/python3.10/dist-packages (1.7.4)\n",
            "Requirement already satisfied: numpy in /usr/local/lib/python3.10/dist-packages (from vidstab) (1.23.5)\n",
            "Requirement already satisfied: imutils>=0.5.2 in /usr/local/lib/python3.10/dist-packages (from vidstab) (0.5.4)\n",
            "Requirement already satisfied: progress in /usr/local/lib/python3.10/dist-packages (from vidstab) (1.6)\n",
            "Requirement already satisfied: matplotlib in /usr/local/lib/python3.10/dist-packages (from vidstab) (3.7.1)\n",
            "Requirement already satisfied: contourpy>=1.0.1 in /usr/local/lib/python3.10/dist-packages (from matplotlib->vidstab) (1.1.1)\n",
            "Requirement already satisfied: cycler>=0.10 in /usr/local/lib/python3.10/dist-packages (from matplotlib->vidstab) (0.12.1)\n",
            "Requirement already satisfied: fonttools>=4.22.0 in /usr/local/lib/python3.10/dist-packages (from matplotlib->vidstab) (4.43.1)\n",
            "Requirement already satisfied: kiwisolver>=1.0.1 in /usr/local/lib/python3.10/dist-packages (from matplotlib->vidstab) (1.4.5)\n",
            "Requirement already satisfied: packaging>=20.0 in /usr/local/lib/python3.10/dist-packages (from matplotlib->vidstab) (23.2)\n",
            "Requirement already satisfied: pillow>=6.2.0 in /usr/local/lib/python3.10/dist-packages (from matplotlib->vidstab) (9.4.0)\n",
            "Requirement already satisfied: pyparsing>=2.3.1 in /usr/local/lib/python3.10/dist-packages (from matplotlib->vidstab) (3.1.1)\n",
            "Requirement already satisfied: python-dateutil>=2.7 in /usr/local/lib/python3.10/dist-packages (from matplotlib->vidstab) (2.8.2)\n",
            "Requirement already satisfied: six>=1.5 in /usr/local/lib/python3.10/dist-packages (from python-dateutil>=2.7->matplotlib->vidstab) (1.16.0)\n",
            "Reading package lists... Done\n",
            "Building dependency tree... Done\n",
            "Reading state information... Done\n",
            "ffmpeg is already the newest version (7:4.4.2-0ubuntu0.22.04.1).\n",
            "0 upgraded, 0 newly installed, 0 to remove and 19 not upgraded.\n"
          ]
        }
      ],
      "source": [
        "!pip install vidstab\n",
        "!apt install ffmpeg\n",
        "import numpy as np\n",
        "import cv2\n",
        "import vidstab\n",
        "import matplotlib.pyplot as plt\n",
        "import imageio\n",
        "import matplotlib.animation as animation\n",
        "from skimage.transform import resize\n",
        "from IPython.display import HTML\n",
        "import os"
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "# Generate destabilized videos\n",
        "\n",
        "## Rotation"
      ],
      "metadata": {
        "id": "sLXqcOZWcEG9"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "def rotate(frame, angle):\n",
        "    cols, rows, _ = frame.shape\n",
        "    rotate_around = (cols // 2, rows // 2)\n",
        "    rot_mat = cv2.getRotationMatrix2D(rotate_around, angle, 1.0)\n",
        "    result = cv2.warpAffine(frame, rot_mat, frame.shape[1::-1], flags=cv2.INTER_LINEAR)\n",
        "    return result\n",
        "\n",
        "\n",
        "def rotate_video(video_path_in, video_name, rotation_increment, video_path_out):\n",
        "    video = os.path.join(video_path_in, video_name)\n",
        "    video = cv2.VideoCapture(video)\n",
        "    fourcc = cv2.VideoWriter_fourcc(\"M\", \"J\", \"P\", \"G\")\n",
        "    width = int(video.get(cv2.CAP_PROP_FRAME_WIDTH))\n",
        "    height = int(video.get(cv2.CAP_PROP_FRAME_HEIGHT))\n",
        "    fps = video.get(cv2.CAP_PROP_FPS)\n",
        "    video_writer = cv2.VideoWriter(video_path_out, fourcc, fps, (width, height))\n",
        "    while True:\n",
        "        ret, frame = video.read()\n",
        "        if not ret:\n",
        "            break\n",
        "        direction = np.random.choice([-1, 1])\n",
        "        result = rotate(frame, rotation_increment * direction)\n",
        "        rotation_increment = rotation_increment * direction\n",
        "        video_writer.write(result)\n",
        "    video_writer.release()\n",
        "    video.release()"
      ],
      "metadata": {
        "id": "AfOgnXlQcLUw"
      },
      "execution_count": 58,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "## Translation"
      ],
      "metadata": {
        "id": "jewmbmsOcT8k"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "def translate_vertically(frame, translation_rate):\n",
        "    frame1 = np.zeros(frame.shape)\n",
        "    h, w, _ = frame.shape\n",
        "\n",
        "    if translation_rate > 0:\n",
        "        frame1[translation_rate:h, :] = frame[: h - translation_rate, :]\n",
        "    else:\n",
        "        frame1[: h - translation_rate, :] = frame[translation_rate:h, :]\n",
        "    return frame1\n",
        "\n",
        "\n",
        "def translate_horizontally(frame, translation_rate):\n",
        "    frame1 = np.zeros_like(frame)\n",
        "    h, w, _ = frame.shape\n",
        "\n",
        "    if translation_rate > 0:\n",
        "        frame1[:, translation_rate:w] = frame[:, : w - translation_rate]\n",
        "    else:\n",
        "        frame1[:, : w - translation_rate] = frame[:, translation_rate:w]\n",
        "    return frame1\n",
        "\n",
        "\n",
        "def translate_video_horizontally(\n",
        "    video_path_in, video_name, translation_rate, video_path_out\n",
        "):\n",
        "    video = os.path.join(video_path_in, video_name)\n",
        "\n",
        "    video = cv2.VideoCapture(video)\n",
        "    fourcc = cv2.VideoWriter_fourcc(\"M\", \"J\", \"P\", \"G\")\n",
        "    width = int(video.get(cv2.CAP_PROP_FRAME_WIDTH))\n",
        "    height = int(video.get(cv2.CAP_PROP_FRAME_HEIGHT))\n",
        "    fps = video.get(cv2.CAP_PROP_FPS)\n",
        "    video_writer = cv2.VideoWriter(video_path_out, fourcc, fps, (width, height))\n",
        "    while True:\n",
        "        ret, frame = video.read()\n",
        "        if not ret:\n",
        "            break\n",
        "        result = translate_horizontally(frame, translation_rate)\n",
        "        translation_rate += 5\n",
        "        video_writer.write(result)\n",
        "    video_writer.release()\n",
        "    video.release()\n",
        "\n",
        "\n",
        "def translate_video_vertically(\n",
        "    video_path_in, video_name, translation_rate, video_path_out\n",
        "):\n",
        "    video = os.path.join(video_path_in, video_name)\n",
        "\n",
        "    video = cv2.VideoCapture(video)\n",
        "    fourcc = cv2.VideoWriter_fourcc(\"M\", \"J\", \"P\", \"G\")\n",
        "    width = int(video.get(cv2.CAP_PROP_FRAME_WIDTH))\n",
        "    height = int(video.get(cv2.CAP_PROP_FRAME_HEIGHT))\n",
        "    fps = video.get(cv2.CAP_PROP_FPS)\n",
        "    video_writer = cv2.VideoWriter(video_path_out, fourcc, fps, (width, height))\n",
        "    while True:\n",
        "        ret, frame = video.read()\n",
        "        if not ret:\n",
        "            break\n",
        "        result = translate_vertically(frame, translation_rate)\n",
        "        translation_rate += 5\n",
        "        video_writer.write(result)\n",
        "    video_writer.release()\n",
        "    video.release()"
      ],
      "metadata": {
        "id": "8qcVtVvOcTbO"
      },
      "execution_count": 57,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "## Destabilize with random translation"
      ],
      "metadata": {
        "id": "wsE7aMajch-L"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "import numpy as np\n",
        "from moviepy.editor import VideoClip\n",
        "\n",
        "\n",
        "def shake_video_randomly(video_path_in, video_name, shake_intensity, video_path_out):\n",
        "    video = os.path.join(video_path_in, video_name)\n",
        "    video = cv2.VideoCapture(video)\n",
        "    fourcc = cv2.VideoWriter_fourcc(*\"mp4v\")\n",
        "    width = int(video.get(cv2.CAP_PROP_FRAME_WIDTH))\n",
        "    height = int(video.get(cv2.CAP_PROP_FRAME_HEIGHT))\n",
        "    fps = video.get(cv2.CAP_PROP_FPS)\n",
        "    video_writer = cv2.VideoWriter(video_path_out, fourcc, fps, (width, height))\n",
        "    while True:\n",
        "        ret, frame = video.read()\n",
        "        if not ret:\n",
        "            break\n",
        "        h, w, _ = frame.shape\n",
        "        direction = np.random.choice([\"up\",\"left\",\"right\",\"down\"])\n",
        "        frame1 = np.zeros_like(frame)\n",
        "        if direction == \"up\":\n",
        "            frame1[: h - shake_intensity] = frame[shake_intensity:h]\n",
        "        elif direction == \"left\":\n",
        "            frame1[:, : w - shake_intensity] = frame[:, shake_intensity:w]\n",
        "        elif direction == \"down\":\n",
        "            frame1[shake_intensity:h] = frame[: h - shake_intensity]\n",
        "        else:\n",
        "            frame1[:, shake_intensity:w] = frame[:, : w - shake_intensity]\n",
        "        video_writer.write(frame1)\n",
        "    video_writer.release()\n",
        "    video.release()"
      ],
      "metadata": {
        "id": "DVAIFDsOclYU"
      },
      "execution_count": 56,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "JsptJSI3DQy3"
      },
      "source": [
        "# Video Stabilization Using Point Feature Matching in OpenCV"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 55,
      "metadata": {
        "id": "ZD_lo_kvDT77",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "f3257a7e-7a9a-46d7-dd78-5492c3332d62"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
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        }
      ],
      "source": [
        "from Point_Feature_Matching_opencv import stabilize_point_feature_match\n",
        "videos=os.listdir(\"./samples\")\n",
        "for video in videos:\n",
        "  input_file=os.path.join(\"./samples\",video)\n",
        "  output_file=os.path.join(\"./opencv\",video.replace(\".mp4\",\"_stabilized.mp4\"))\n",
        "  stabilize_point_feature_match(input_file,output_file)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "r-B_GBgTD0da"
      },
      "source": [
        "# Gaussian kernel low-pass filter on camera motion (ffmpeg)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 44,
      "metadata": {
        "id": "Xeccb1VyERMw"
      },
      "outputs": [],
      "source": [
        "import subprocess\n",
        "videos=os.listdir(\"./samples\")\n",
        "transform_file = \"transform_vectors.trf\"\n",
        "for video in videos:\n",
        "  input_file=os.path.join(\"./samples\",video)\n",
        "  output_file=os.path.join(\"./ffmpeg\",video.replace(\".mp4\",\"_stabilized.mp4\"))\n",
        "  command = [\"ffmpeg\", \"-i\", input_file, \"-vf\", f\"vidstabdetect=stepsize=6:shakiness=8:accuracy=9:result={transform_file}\", \"-f\", \"null\", \"-\"]\n",
        "  subprocess.run(command, stdout=subprocess.PIPE, stderr=subprocess.PIPE)\n",
        "  command = [\"ffmpeg\", \"-i\", input_file, \"-vf\", f\"vidstabtransform=input={transform_file}\", \"-c:a\", \"copy\", output_file]\n",
        "  subprocess.run(command, stdout=subprocess.PIPE, stderr=subprocess.PIPE)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "2QN4wx2uERZy"
      },
      "source": [
        "# Stabilization using vidstab package"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 45,
      "metadata": {
        "id": "Jjrm9WhHE740"
      },
      "outputs": [],
      "source": [
        "from vidstab import VidStab\n",
        "import matplotlib.pyplot as plt\n",
        "videos=os.listdir(\"./samples\")\n",
        "for video in videos:\n",
        "  input_file=os.path.join(\"./samples\",video)\n",
        "  output_file=os.path.join(\"./vidstab\",video.replace(\".mp4\",\"_stabilized.mp4\"))\n",
        "  stabilizer = VidStab()\n",
        "  stabilizer.stabilize(input_path=input_file, output_path=output_file)\n"
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "The results are stored in the folder results (https://github.com/centralelyon/video-stabilization/tree/main/results)."
      ],
      "metadata": {
        "id": "Gn-5xBg8dEvx"
      }
    }
  ],
  "metadata": {
    "colab": {
      "provenance": []
    },
    "kernelspec": {
      "display_name": "Python 3",
      "name": "python3"
    },
    "language_info": {
      "name": "python"
    }
  },
  "nbformat": 4,
  "nbformat_minor": 0
}