diff --git "a/Testing Cropping.ipynb" "b/Testing Cropping.ipynb"
deleted file mode 100644--- "a/Testing Cropping.ipynb"
+++ /dev/null
@@ -1,904 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "code",
-   "execution_count": 6,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "from app import *\n",
-    "from plot import *\n",
-    "from videohash import *\n",
-    "from videomatch import *\n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 25,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "from config import *"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Collecting giftless-client\n",
-      "  Downloading giftless_client-0.1.1-py2.py3-none-any.whl (9.2 kB)\n",
-      "Requirement already satisfied: python-dateutil in /Users/pshouche/opt/anaconda3/lib/python3.9/site-packages (from giftless-client) (2.8.2)\n",
-      "Requirement already satisfied: typing-extensions in /Users/pshouche/opt/anaconda3/lib/python3.9/site-packages (from giftless-client) (4.3.0)\n",
-      "Requirement already satisfied: click in /Users/pshouche/opt/anaconda3/lib/python3.9/site-packages (from giftless-client) (8.0.3)\n",
-      "Requirement already satisfied: requests in /Users/pshouche/opt/anaconda3/lib/python3.9/site-packages (from giftless-client) (2.26.0)\n",
-      "Requirement already satisfied: six>=1.5 in /Users/pshouche/opt/anaconda3/lib/python3.9/site-packages (from python-dateutil->giftless-client) (1.16.0)\n",
-      "Requirement already satisfied: certifi>=2017.4.17 in /Users/pshouche/opt/anaconda3/lib/python3.9/site-packages (from requests->giftless-client) (2021.10.8)\n",
-      "Requirement already satisfied: urllib3<1.27,>=1.21.1 in /Users/pshouche/opt/anaconda3/lib/python3.9/site-packages (from requests->giftless-client) (1.26.7)\n",
-      "Requirement already satisfied: idna<4,>=2.5 in /Users/pshouche/opt/anaconda3/lib/python3.9/site-packages (from requests->giftless-client) (3.2)\n",
-      "Requirement already satisfied: charset-normalizer~=2.0.0 in /Users/pshouche/opt/anaconda3/lib/python3.9/site-packages (from requests->giftless-client) (2.0.4)\n",
-      "Installing collected packages: giftless-client\n",
-      "Successfully installed giftless-client-0.1.1\n",
-      "\u001b[33mWARNING: You are using pip version 22.0.3; however, version 22.2.2 is available.\n",
-      "You should consider upgrading via the '/Users/pshouche/opt/anaconda3/bin/python -m pip install --upgrade pip' command.\u001b[0m\u001b[33m\n",
-      "\u001b[0m"
-     ]
-    }
-   ],
-   "source": [
-    "! pip install giftless-client"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 3,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "from giftless_client import LfsClient"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 4,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Usage: giftless-client [OPTIONS] COMMAND [ARGS]...\n",
-      "\n",
-      "Options:\n",
-      "  -u, --server-url TEXT    Git LFS server URL  [required]\n",
-      "  -b, --bearer-token TEXT  Bearer token\n",
-      "  -D, --debug              Enable debug logging\n",
-      "  --help                   Show this message and exit.\n",
-      "\n",
-      "Commands:\n",
-      "  download\n",
-      "  upload\n"
-     ]
-    }
-   ],
-   "source": [
-    "!giftless-client --help"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 2,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "!  git lfs pull"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 9,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "b3cf94671de7aadc22970483150aafd5.index\n",
-      "d0369414718aa9573ff9d009f4f61cc0.index\n",
-      "2909574cb590231c5d1028032bd849a8.index\n",
-      "9c0a24aa59358ee014ded54c88eaa6c1.index\n",
-      "0fd24e056447f6cd068f40ba2e41828c.index\n",
-      "1de5e559d3d190ca09ac3fa6b40a0138.index\n",
-      "265732a300bbe18c4d39df108fe0c121.index\n",
-      "2f71b6c1d5c91c4b73eef2ebd05bd848.index\n",
-      "75617545ba72efdc9a7b2b140184a9c6.index\n",
-      "a3efa8f2e01e0964d7987e6b1e4b3b44.index\n"
-     ]
-    }
-   ],
-   "source": [
-    "from faiss import *\n",
-    "data_path='./data'\n",
-    "temp_path = './temp_folder'\n",
-    "index_files = os.listdir(data_path)\n",
-    "for index_file in index_files:\n",
-    "    # Read from static location and write to temp storage\n",
-    "    print(index_file)\n",
-    "    binary_index = read_index_binary(os.path.join(data_path, index_file))\n",
-    "    write_index_binary(binary_index, f'{temp_path}/{index_file}')\n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 76,
-   "metadata": {},
-   "outputs": [
-    {
-     "ename": "RuntimeError",
-     "evalue": "Error in faiss::IndexBinary *faiss::read_index_binary(faiss::IOReader *, int) at /Users/runner/work/faiss-wheels/faiss-wheels/faiss/faiss/impl/index_read.cpp:974: Index type 4f44213c (\"<!DO\") not recognized",
-     "output_type": "error",
-     "traceback": [
-      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
-      "\u001b[0;31mRuntimeError\u001b[0m                              Traceback (most recent call last)",
-      "\u001b[0;32m/var/folders/w6/9kh8n81x3z9097k63m9r40h40000gp/T/ipykernel_49443/3929091342.py\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[1;32m      1\u001b[0m \u001b[0;32mimport\u001b[0m \u001b[0mfaiss\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 2\u001b[0;31m \u001b[0mbinary_index\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mfaiss\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mread_index_binary\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mfp\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
-      "\u001b[0;32m~/opt/anaconda3/lib/python3.9/site-packages/faiss/swigfaiss.py\u001b[0m in \u001b[0;36mread_index_binary\u001b[0;34m(*args)\u001b[0m\n\u001b[1;32m   8394\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   8395\u001b[0m \u001b[0;32mdef\u001b[0m \u001b[0mread_index_binary\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m*\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 8396\u001b[0;31m     \u001b[0;32mreturn\u001b[0m \u001b[0m_swigfaiss\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mread_index_binary\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m*\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m   8397\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   8398\u001b[0m \u001b[0;32mdef\u001b[0m \u001b[0mwrite_VectorTransform\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mvt\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mfname\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
-      "\u001b[0;31mRuntimeError\u001b[0m: Error in faiss::IndexBinary *faiss::read_index_binary(faiss::IOReader *, int) at /Users/runner/work/faiss-wheels/faiss-wheels/faiss/faiss/impl/index_read.cpp:974: Index type 4f44213c (\"<!DO\") not recognized"
-     ]
-    }
-   ],
-   "source": [
-    "import faiss\n",
-    "binary_index = faiss.read_index_binary(fp) "
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 2,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "'/var/folders/w6/9kh8n81x3z9097k63m9r40h40000gp/T/4f10ca2e7c20dc67b3ad076fc5631244'"
-      ]
-     },
-     "execution_count": 2,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "from videohash import filepath_from_url\n",
-    "fp = filepath_from_url(\"https://twitter.com/BoerBurgerB/status/1574736321608036353\")\n",
-    "fp"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 3,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "INFO:root:Downloaded video from https://twitter.com/VVD/status/1572903775291019265?s=20&t=jcV3Yyhs5lOyGRVEPDBiVQ to /var/folders/w6/9kh8n81x3z9097k63m9r40h40000gp/T/02f4b9758a649411ff5e0d9790998989.\n"
-     ]
-    },
-    {
-     "data": {
-      "text/plain": [
-       "'/var/folders/w6/9kh8n81x3z9097k63m9r40h40000gp/T/02f4b9758a649411ff5e0d9790998989'"
-      ]
-     },
-     "execution_count": 3,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "from videohash import download_video_from_url\n",
-    "\n",
-    "\n",
-    "download_video_from_url(\"https://twitter.com/VVD/status/1572903775291019265?s=20&t=jcV3Yyhs5lOyGRVEPDBiVQ\")"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 11,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "'/var/folders/w6/9kh8n81x3z9097k63m9r40h40000gp/T/0b71335ff6a7363b455a88c7ef4ffdd8123113435b569ad3209412786eadcb84'"
-      ]
-     },
-     "execution_count": 11,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "import hashlib\n",
-    "url = \"https://debatgemist.tweedekamer.nl/debatten/algemene-politieke-beschouwingen-1e-termijn-kamer-0\"\n",
-    "os.path.join(VIDEO_DIRECTORY, hashlib.sha256(url.encode()).hexdigest())"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 3,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "import json\n",
-    "import shutil\n",
-    "import os\n",
-    "import cv2\n",
-    "\n",
-    "with open('apb2022.json') as filein:\n",
-    "    urls, videos, url2video, video2url = [], [], {}, {}\n",
-    "    for item in json.load(filein):\n",
-    "        urls.append(item['url'])\n",
-    "        videos.append(item['mp4'])\n",
-    "        url2video[item['url']] = item['mp4']\n",
-    "        video2url[item['mp4']] = item['url']\n",
-    "\n",
-    "for url in videos:\n",
-    "    filepath = filepath_from_url(url) + '.index'\n",
-    "    datapath = os.path.join('data', os.path.basename(filepath))\n",
-    "    if not os.path.exists(filepath) and os.path.exists(datapath):\n",
-    "        shutil.copyfile(datapath, filepath)\n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 64,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "from moviepy.video.io.VideoFileClip import VideoFileClip\n",
-    "from moviepy.video.fx.all import crop\n",
-    "from moviepy.audio.io.AudioFileClip import AudioFileClip\n",
-    "from moviepy.audio.AudioClip import CompositeAudioClip\n",
-    "import ffmpeg\n",
-    "from moviepy.video.fx.all import crop\n",
-    "\n",
-    "\n",
-    "def crop_video_test(input_file, crop_percentage=0.75):\n",
-    "    clip  = VideoFileClip(input_file)\n",
-    "    ow,oh = clip.size # Original width and height\n",
-    "    w,h = 224, 224  # Desired width and height for faster computation\n",
-    "    #crop_percentage = 0.75\n",
-    "\n",
-    "    return crop(clip, x_center=ow/2, y_center=oh/2, width=int(ow*crop_percentage), height=int(crop_percentage*oh)).resize((w,h))\n",
-    "\n",
-    "def crop_video(input_file, output_file, crop_dim=(250,260,60,50), crop_percentage=0.75):\n",
-    "    resize_width = 224\n",
-    "    crop_percentage = 0.75\n",
-    "\n",
-    "    print(f\"Cropping video to width {resize_width} and crop percentage {crop_percentage}\")\n",
-    "    \n",
-    "    input_video = VideoFileClip(input_file)\n",
-    "    framecount = int(input_video.fps * input_video.duration)\n",
-    "    print(f\"Framecount = {framecount}\")\n",
-    "\n",
-    "    ow,oh = input_video.size\n",
-    "\n",
-    "    # ow = video2.get(cv2.CAP_PROP_FRAME_WIDTH )\n",
-    "    # oh = video2.get(cv2.CAP_PROP_FRAME_HEIGHT )\n",
-    "    if framecount > 0:\n",
-    "        input_vid = ffmpeg.input(input_file)\n",
-    "        if resize_width == 224:\n",
-    "            w = 224\n",
-    "            h = 224\n",
-    "        else:\n",
-    "            w = resize_width\n",
-    "            h = (int((resize_width/ow)*oh/2))*2\n",
-    "\n",
-    "    os.system(f\"ffmpeg -i {input_file} -vf 'crop={str(int(crop_percentage*ow))}:{str(int(crop_percentage*oh))},scale={str(w)}:{str(h)}' {output_file}\")"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 63,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "def download_video_from_url_with_crop(url):\n",
-    "    \"\"\"Download video from url or return md5 hash as video name\"\"\"\n",
-    "    # TODO: Make work for Google link\n",
-    "    filepath = filepath_from_url(url)\n",
-    "    print(f\"URL {url} Filepath {filepath}\")\n",
-    "    if not os.path.exists(filepath):\n",
-    "        with (urllib.request.urlopen(url)) as f, open(filepath, 'wb') as fileout:\n",
-    "            shutil.copyfileobj(f, fileout, length=16*1024)\n",
-    "        logging.info(f\"Downloaded video from {url} to {filepath}.\")\n",
-    "    else:\n",
-    "        logging.info(f\"Skipping downloading from {url} because {filepath} already exists.\")\n",
-    "    return filepath "
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 61,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "def compute_hashes_crop(url: str, fps=FPS):\n",
-    "    try:\n",
-    "        filepath = download_video_from_url_with_crop(url)\n",
-    "        clip = crop_video_test(filepath)\n",
-    "    except IOError:\n",
-    "        logging.warn(f\"Falling back to direct streaming from {url} because the downloaded video failed.\")\n",
-    "        filepath = filepath_from_url(url)\n",
-    "        clip = crop_video_test(filepath)\n",
-    "  \n",
-    "    for index, frame in enumerate(change_ffmpeg_fps(clip, fps).iter_frames()):\n",
-    "        # Each frame is a triplet of size (height, width, 3) of the video since it is RGB\n",
-    "        # The hash itself is of size (hash_size, hash_size)\n",
-    "        # The uint8 version of the hash is of size (hash_size * highfreq_factor,) and represents the hash\n",
-    "        hashed = np.array(binary_array_to_uint8s(compute_hash(frame).hash), dtype='uint8')\n",
-    "        yield {\"frame\": 1+index*fps, \"hash\": hashed}"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 48,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "import faiss\n",
-    "def index_hashes_for_video_crop(url: str) -> faiss.IndexBinaryIVF:\n",
-    "    \"\"\" Compute hashes of a video and index the video using faiss indices and return the index. \"\"\"\n",
-    "    filepath = filepath_from_url(url)\n",
-    "    if os.path.exists(f'{filepath}.index'):\n",
-    "        logging.info(f\"Loading indexed hashes from {filepath}.index\")\n",
-    "        binary_index = faiss.read_index_binary(f'{filepath}.index') \n",
-    "        logging.info(f\"Index {filepath}.index has in total {binary_index.ntotal} frames\")\n",
-    "        return binary_index\n",
-    "\n",
-    "    hash_vectors = np.array([x['hash'] for x in compute_hashes_crop(url)])\n",
-    "    logging.info(f\"Computed hashes for {hash_vectors.shape} frames.\")\n",
-    "\n",
-    "    # Initializing the quantizer.\n",
-    "    quantizer = faiss.IndexBinaryFlat(hash_vectors.shape[1]*8)\n",
-    "    # Initializing index.\n",
-    "    index = faiss.IndexBinaryIVF(quantizer, hash_vectors.shape[1]*8, min(16, hash_vectors.shape[0]))\n",
-    "    index.nprobe = 1 # Number of nearest clusters to be searched per query. \n",
-    "    # Training the quantizer.\n",
-    "    index.train(hash_vectors)\n",
-    "    #index = faiss.IndexBinaryFlat(64)\n",
-    "    index.add(hash_vectors)\n",
-    "    faiss.write_index_binary(index, f'{filepath}.index')\n",
-    "    logging.info(f\"Indexed hashes for {index.ntotal} frames to {filepath}.index.\")\n",
-    "    return index\n",
-    "\n",
-    "\n",
-    "def get_video_index_crop(url: str):\n",
-    "    \"\"\"\" Builds up a FAISS index for a video.\n",
-    "    args: \n",
-    "    - filepath: location of the source video\n",
-    "    \"\"\"\n",
-    "    # Url (short video) \n",
-    "    video_index = index_hashes_for_video_crop(url)\n",
-    "    video_index.make_direct_map() # Make sure the index is indexable\n",
-    "    hash_vectors = np.array([video_index.reconstruct(i) for i in range(video_index.ntotal)]) # Retrieve original indices\n",
-    "    \n",
-    "    return video_index, hash_vectors"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 43,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "def compare_crop(url, target):\n",
-    "    \"\"\" Compare a single url (user submitted) to a single target entry and return the corresponding\n",
-    "    figure and decision (.json-esque list of dictionaries)\n",
-    "    \n",
-    "    args:\n",
-    "    - url: User submitted url which will be downloaded and cached\n",
-    "    - target: Target entry with a 'url' and 'mp4' attribute\n",
-    "    \"\"\"\n",
-    "    target_title =  target['url']\n",
-    "    target_mp4 =  target['mp4']\n",
-    "\n",
-    "    # Get source and target indices \n",
-    "    source_index, source_hash_vectors = get_video_index_crop(url)\n",
-    "    target_index, _ = get_video_index_crop(target_mp4)\n",
-    "\n",
-    "    # Get decent distance by comparing url index with the target hash vectors + target index\n",
-    "    distance = get_decent_distance(source_index, source_hash_vectors, target_index, MIN_DISTANCE, MAX_DISTANCE)\n",
-    "    if distance == None:\n",
-    "        logging.info(f\"No matches found between {url} and {target_mp4}!\")\n",
-    "        return plt.figure(), []   \n",
-    "    else:\n",
-    "        # Compare videos with heuristic distance\n",
-    "        lims, D, I, hash_vectors = compare_videos(source_hash_vectors, target_index, MIN_DISTANCE = distance)\n",
-    "\n",
-    "        # Get dataframe holding all information\n",
-    "        df = get_videomatch_df(lims, D, I, hash_vectors, distance)\n",
-    "\n",
-    "        # Determine change point using ROBUST method based on column ROLL_OFFSET_MODE\n",
-    "        change_points = get_change_points(df, metric=\"ROLL_OFFSET_MODE\", method=\"ROBUST\")\n",
-    "\n",
-    "        # Plot and get figure and .json-style segment decision\n",
-    "        fig, segment_decision = plot_segment_comparison(df, change_points, video_id=target_title, video_mp4=target_mp4)\n",
-    "        return fig, segment_decision\n",
-    "\n",
-    "def multiple_comparison_crop(url, return_figure=False):\n",
-    "    \"\"\" Compare a single url (user submitted) to all target entries and return the corresponding\n",
-    "    figures and decisions (.json-style list of dictionaries)\n",
-    "    \n",
-    "    args:\n",
-    "    - url: User submitted url which will be downloaded and cached\n",
-    "    - return_figure: Parameter to decide if to return figures or decision, needed for Gradio plotting \"\"\"\n",
-    "    # Figure and decision (list of dicts) storage \n",
-    "    figures, decisions = [], []\n",
-    "    for target in TARGET_ENTRIES:\n",
-    "        # Make comparison\n",
-    "        fig, segment_decision = compare_crop(url, target)\n",
-    "\n",
-    "        # Add decisions to global decision list\n",
-    "        decisions.extend(segment_decision)\n",
-    "        figures.append(fig)\n",
-    "    \n",
-    "    if return_figure:\n",
-    "        return figures\n",
-    "    return decisions\n",
-    "\n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 66,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "INFO:root:Loading indexed hashes from /var/folders/w6/9kh8n81x3z9097k63m9r40h40000gp/T/ea3fe68721ba75b25dabe46ae362df04.index\n",
-      "INFO:root:Index /var/folders/w6/9kh8n81x3z9097k63m9r40h40000gp/T/ea3fe68721ba75b25dabe46ae362df04.index has in total 226 frames\n",
-      "INFO:root:Loading indexed hashes from /var/folders/w6/9kh8n81x3z9097k63m9r40h40000gp/T/2f71b6c1d5c91c4b73eef2ebd05bd848.index\n",
-      "INFO:root:Index /var/folders/w6/9kh8n81x3z9097k63m9r40h40000gp/T/2f71b6c1d5c91c4b73eef2ebd05bd848.index has in total 93111 frames\n",
-      "WARNING:root:No matches found for any distance between 4 and 60\n",
-      "INFO:root:No matches found between https://video.twimg.com/ext_tw_video/1572903611285258243/pu/vid/320x320/HO7k7tSagSyXm2Kd.mp4?tag=12 and https://amcpwetkms-euwe.streaming.media.azure.net/0010e470-ce9d-4424-9462-8e8e10efc5af/download-20220921082013Z.mp4!\n",
-      "INFO:root:Loading indexed hashes from /var/folders/w6/9kh8n81x3z9097k63m9r40h40000gp/T/ea3fe68721ba75b25dabe46ae362df04.index\n",
-      "INFO:root:Index /var/folders/w6/9kh8n81x3z9097k63m9r40h40000gp/T/ea3fe68721ba75b25dabe46ae362df04.index has in total 226 frames\n",
-      "INFO:root:Loading indexed hashes from /var/folders/w6/9kh8n81x3z9097k63m9r40h40000gp/T/a3efa8f2e01e0964d7987e6b1e4b3b44.index\n",
-      "INFO:root:Index /var/folders/w6/9kh8n81x3z9097k63m9r40h40000gp/T/a3efa8f2e01e0964d7987e6b1e4b3b44.index has in total 116 frames\n",
-      "WARNING:root:No matches found for any distance between 4 and 60\n",
-      "INFO:root:No matches found between https://video.twimg.com/ext_tw_video/1572903611285258243/pu/vid/320x320/HO7k7tSagSyXm2Kd.mp4?tag=12 and https://amcpwetkms-euwe.streaming.media.azure.net/0010e470-ce9d-4424-9462-8e8e10efc5af/download-20220921133023Z.mp4!\n",
-      "INFO:root:Loading indexed hashes from /var/folders/w6/9kh8n81x3z9097k63m9r40h40000gp/T/ea3fe68721ba75b25dabe46ae362df04.index\n",
-      "INFO:root:Index /var/folders/w6/9kh8n81x3z9097k63m9r40h40000gp/T/ea3fe68721ba75b25dabe46ae362df04.index has in total 226 frames\n",
-      "INFO:root:Loading indexed hashes from /var/folders/w6/9kh8n81x3z9097k63m9r40h40000gp/T/265732a300bbe18c4d39df108fe0c121.index\n",
-      "INFO:root:Index /var/folders/w6/9kh8n81x3z9097k63m9r40h40000gp/T/265732a300bbe18c4d39df108fe0c121.index has in total 7085 frames\n",
-      "WARNING:root:No matches found for any distance between 4 and 60\n",
-      "INFO:root:No matches found between https://video.twimg.com/ext_tw_video/1572903611285258243/pu/vid/320x320/HO7k7tSagSyXm2Kd.mp4?tag=12 and https://amcpwetkms-euwe.streaming.media.azure.net/0010e470-ce9d-4424-9462-8e8e10efc5af/download-20220921133038Z.mp4!\n",
-      "INFO:root:Loading indexed hashes from /var/folders/w6/9kh8n81x3z9097k63m9r40h40000gp/T/ea3fe68721ba75b25dabe46ae362df04.index\n",
-      "INFO:root:Index /var/folders/w6/9kh8n81x3z9097k63m9r40h40000gp/T/ea3fe68721ba75b25dabe46ae362df04.index has in total 226 frames\n",
-      "INFO:root:Loading indexed hashes from /var/folders/w6/9kh8n81x3z9097k63m9r40h40000gp/T/d0369414718aa9573ff9d009f4f61cc0.index\n",
-      "INFO:root:Index /var/folders/w6/9kh8n81x3z9097k63m9r40h40000gp/T/d0369414718aa9573ff9d009f4f61cc0.index has in total 162990 frames\n",
-      "WARNING:root:No matches found for any distance between 4 and 60\n",
-      "INFO:root:No matches found between https://video.twimg.com/ext_tw_video/1572903611285258243/pu/vid/320x320/HO7k7tSagSyXm2Kd.mp4?tag=12 and https://amcpwetkms-euwe.streaming.media.azure.net/a702d77f-49c5-4a69-a6f7-28e29ae4d1fe/20220921_pz_155828-010143_v2.mp4!\n",
-      "INFO:root:Loading indexed hashes from /var/folders/w6/9kh8n81x3z9097k63m9r40h40000gp/T/ea3fe68721ba75b25dabe46ae362df04.index\n",
-      "INFO:root:Index /var/folders/w6/9kh8n81x3z9097k63m9r40h40000gp/T/ea3fe68721ba75b25dabe46ae362df04.index has in total 226 frames\n",
-      "INFO:root:Loading indexed hashes from /var/folders/w6/9kh8n81x3z9097k63m9r40h40000gp/T/b3cf94671de7aadc22970483150aafd5.index\n",
-      "INFO:root:Index /var/folders/w6/9kh8n81x3z9097k63m9r40h40000gp/T/b3cf94671de7aadc22970483150aafd5.index has in total 58 frames\n",
-      "WARNING:root:No matches found for any distance between 4 and 60\n",
-      "INFO:root:No matches found between https://video.twimg.com/ext_tw_video/1572903611285258243/pu/vid/320x320/HO7k7tSagSyXm2Kd.mp4?tag=12 and https://amcpwetkms-euwe.streaming.media.azure.net/74c2e164-212d-4eda-a3ef-2dc406eea19b/download-20220922081620Z.mp4!\n",
-      "INFO:root:Loading indexed hashes from /var/folders/w6/9kh8n81x3z9097k63m9r40h40000gp/T/ea3fe68721ba75b25dabe46ae362df04.index\n",
-      "INFO:root:Index /var/folders/w6/9kh8n81x3z9097k63m9r40h40000gp/T/ea3fe68721ba75b25dabe46ae362df04.index has in total 226 frames\n",
-      "INFO:root:Loading indexed hashes from /var/folders/w6/9kh8n81x3z9097k63m9r40h40000gp/T/75617545ba72efdc9a7b2b140184a9c6.index\n",
-      "INFO:root:Index /var/folders/w6/9kh8n81x3z9097k63m9r40h40000gp/T/75617545ba72efdc9a7b2b140184a9c6.index has in total 82628 frames\n",
-      "WARNING:root:No matches found for any distance between 4 and 60\n",
-      "INFO:root:No matches found between https://video.twimg.com/ext_tw_video/1572903611285258243/pu/vid/320x320/HO7k7tSagSyXm2Kd.mp4?tag=12 and https://amcpwetkms-euwe.streaming.media.azure.net/74c2e164-212d-4eda-a3ef-2dc406eea19b/download-20220922081653Z.mp4!\n",
-      "INFO:root:Loading indexed hashes from /var/folders/w6/9kh8n81x3z9097k63m9r40h40000gp/T/ea3fe68721ba75b25dabe46ae362df04.index\n",
-      "INFO:root:Index /var/folders/w6/9kh8n81x3z9097k63m9r40h40000gp/T/ea3fe68721ba75b25dabe46ae362df04.index has in total 226 frames\n",
-      "INFO:root:Loading indexed hashes from /var/folders/w6/9kh8n81x3z9097k63m9r40h40000gp/T/1de5e559d3d190ca09ac3fa6b40a0138.index\n",
-      "INFO:root:Index /var/folders/w6/9kh8n81x3z9097k63m9r40h40000gp/T/1de5e559d3d190ca09ac3fa6b40a0138.index has in total 116 frames\n",
-      "WARNING:root:No matches found for any distance between 4 and 60\n",
-      "INFO:root:No matches found between https://video.twimg.com/ext_tw_video/1572903611285258243/pu/vid/320x320/HO7k7tSagSyXm2Kd.mp4?tag=12 and https://amcpwetkms-euwe.streaming.media.azure.net/74c2e164-212d-4eda-a3ef-2dc406eea19b/download-20220922125211Z.mp4!\n",
-      "INFO:root:Loading indexed hashes from /var/folders/w6/9kh8n81x3z9097k63m9r40h40000gp/T/ea3fe68721ba75b25dabe46ae362df04.index\n",
-      "INFO:root:Index /var/folders/w6/9kh8n81x3z9097k63m9r40h40000gp/T/ea3fe68721ba75b25dabe46ae362df04.index has in total 226 frames\n",
-      "INFO:root:Loading indexed hashes from /var/folders/w6/9kh8n81x3z9097k63m9r40h40000gp/T/0fd24e056447f6cd068f40ba2e41828c.index\n",
-      "INFO:root:Index /var/folders/w6/9kh8n81x3z9097k63m9r40h40000gp/T/0fd24e056447f6cd068f40ba2e41828c.index has in total 432 frames\n",
-      "WARNING:root:No matches found for any distance between 4 and 60\n",
-      "INFO:root:No matches found between https://video.twimg.com/ext_tw_video/1572903611285258243/pu/vid/320x320/HO7k7tSagSyXm2Kd.mp4?tag=12 and https://amcpwetkms-euwe.streaming.media.azure.net/74c2e164-212d-4eda-a3ef-2dc406eea19b/download-20220922125220Z.mp4!\n",
-      "INFO:root:Loading indexed hashes from /var/folders/w6/9kh8n81x3z9097k63m9r40h40000gp/T/ea3fe68721ba75b25dabe46ae362df04.index\n",
-      "INFO:root:Index /var/folders/w6/9kh8n81x3z9097k63m9r40h40000gp/T/ea3fe68721ba75b25dabe46ae362df04.index has in total 226 frames\n",
-      "INFO:root:Loading indexed hashes from /var/folders/w6/9kh8n81x3z9097k63m9r40h40000gp/T/2909574cb590231c5d1028032bd849a8.index\n",
-      "INFO:root:Index /var/folders/w6/9kh8n81x3z9097k63m9r40h40000gp/T/2909574cb590231c5d1028032bd849a8.index has in total 157162 frames\n",
-      "WARNING:root:No matches found for any distance between 4 and 60\n",
-      "INFO:root:No matches found between https://video.twimg.com/ext_tw_video/1572903611285258243/pu/vid/320x320/HO7k7tSagSyXm2Kd.mp4?tag=12 and https://amcpwetkms-euwe.streaming.media.azure.net/74c2e164-212d-4eda-a3ef-2dc406eea19b/download-20220922125338Z.mp4!\n",
-      "INFO:root:Loading indexed hashes from /var/folders/w6/9kh8n81x3z9097k63m9r40h40000gp/T/ea3fe68721ba75b25dabe46ae362df04.index\n",
-      "INFO:root:Index /var/folders/w6/9kh8n81x3z9097k63m9r40h40000gp/T/ea3fe68721ba75b25dabe46ae362df04.index has in total 226 frames\n",
-      "INFO:root:Loading indexed hashes from /var/folders/w6/9kh8n81x3z9097k63m9r40h40000gp/T/9c0a24aa59358ee014ded54c88eaa6c1.index\n",
-      "INFO:root:Index /var/folders/w6/9kh8n81x3z9097k63m9r40h40000gp/T/9c0a24aa59358ee014ded54c88eaa6c1.index has in total 7344 frames\n",
-      "WARNING:root:No matches found for any distance between 4 and 60\n",
-      "INFO:root:No matches found between https://video.twimg.com/ext_tw_video/1572903611285258243/pu/vid/320x320/HO7k7tSagSyXm2Kd.mp4?tag=12 and https://amcpwetkms-euwe.streaming.media.azure.net/74c2e164-212d-4eda-a3ef-2dc406eea19b/download-20220922213719Z.mp4!\n"
-     ]
-    },
-    {
-     "data": {
-      "text/plain": [
-       "[]"
-      ]
-     },
-     "execution_count": 66,
-     "metadata": {},
-     "output_type": "execute_result"
-    },
-    {
-     "data": {
-      "text/plain": [
-       "<Figure size 432x288 with 0 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/plain": [
-       "<Figure size 432x288 with 0 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/plain": [
-       "<Figure size 432x288 with 0 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/plain": [
-       "<Figure size 432x288 with 0 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/plain": [
-       "<Figure size 432x288 with 0 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/plain": [
-       "<Figure size 432x288 with 0 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/plain": [
-       "<Figure size 432x288 with 0 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/plain": [
-       "<Figure size 432x288 with 0 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/plain": [
-       "<Figure size 432x288 with 0 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/plain": [
-       "<Figure size 432x288 with 0 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "multiple_comparison_crop(\"https://video.twimg.com/ext_tw_video/1572903611285258243/pu/vid/320x320/HO7k7tSagSyXm2Kd.mp4?tag=12\")"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 1,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "from app import *\n",
-    "from videohash import *"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 2,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "INFO:root:Downloaded video from https://video.twimg.com/amplify_video/1572649668923768835/vid/480x270/nh9EVfBCy_MCv-_h.mp4?tag=14 to /var/folders/w6/9kh8n81x3z9097k63m9r40h40000gp/T/10d499e0cee2d98a870256bf953ffe74.\n",
-      "INFO:root:Cropping and resizing video to (224, 224)\n",
-      "WARNING:py.warnings:/Users/pshouche/opt/anaconda3/lib/python3.9/site-packages/moviepy/video/io/ffmpeg_reader.py:123: UserWarning:\n",
-      "\n",
-      "Warning: in file /var/folders/w6/9kh8n81x3z9097k63m9r40h40000gp/T/10d499e0cee2d98a870256bf953ffe74, 388800 bytes wanted but 0 bytes read,at frame 568/2842, at time 113.60/113.64 sec. Using the last valid frame instead.\n",
-      "\n",
-      "\n",
-      "INFO:root:Computed hashes for (569, 32) frames.\n",
-      "WARNING clustering 569 points to 16 centroids: please provide at least 624 training points\n",
-      "INFO:root:Indexed hashes for 569 frames to /var/folders/w6/9kh8n81x3z9097k63m9r40h40000gp/T/10d499e0cee2d98a870256bf953ffe74.index.\n",
-      "INFO:root:Loading indexed hashes from /var/folders/w6/9kh8n81x3z9097k63m9r40h40000gp/T/2f71b6c1d5c91c4b73eef2ebd05bd848.index\n",
-      "INFO:root:Index /var/folders/w6/9kh8n81x3z9097k63m9r40h40000gp/T/2f71b6c1d5c91c4b73eef2ebd05bd848.index has in total 93111 frames\n",
-      "INFO:root:0.2% of frames have a match for distance '20' (1 matches for 569 frames)\n",
-      "INFO:root:1.2% of frames have a match for distance '22' (7 matches for 569 frames)\n",
-      "INFO:root:3.0% of frames have a match for distance '24' (17 matches for 569 frames)\n",
-      "INFO:root:8.8% of frames have a match for distance '26' (50 matches for 569 frames)\n",
-      "INFO:root:17.8% of frames have a match for distance '28' (101 matches for 569 frames)\n",
-      "INFO:root:32.9% of frames have a match for distance '30' (187 matches for 569 frames)\n",
-      "INFO:root:53.6% of frames have a match for distance '32' (305 matches for 569 frames)\n",
-      "INFO:root:79.6% of frames have a match for distance '34' (453 matches for 569 frames)\n",
-      "INFO:root:128.1% of frames have a match for distance '36' (729 matches for 569 frames)\n",
-      "INFO:root:Loading indexed hashes from /var/folders/w6/9kh8n81x3z9097k63m9r40h40000gp/T/10d499e0cee2d98a870256bf953ffe74.index\n",
-      "INFO:root:Index /var/folders/w6/9kh8n81x3z9097k63m9r40h40000gp/T/10d499e0cee2d98a870256bf953ffe74.index has in total 569 frames\n",
-      "INFO:root:Loading indexed hashes from /var/folders/w6/9kh8n81x3z9097k63m9r40h40000gp/T/a3efa8f2e01e0964d7987e6b1e4b3b44.index\n",
-      "INFO:root:Index /var/folders/w6/9kh8n81x3z9097k63m9r40h40000gp/T/a3efa8f2e01e0964d7987e6b1e4b3b44.index has in total 116 frames\n",
-      "WARNING:root:No matches found for any distance between 4 and 50\n",
-      "INFO:root:No matches found between https://video.twimg.com/amplify_video/1572649668923768835/vid/480x270/nh9EVfBCy_MCv-_h.mp4?tag=14 and https://amcpwetkms-euwe.streaming.media.azure.net/0010e470-ce9d-4424-9462-8e8e10efc5af/download-20220921133023Z.mp4!\n",
-      "INFO:root:Loading indexed hashes from /var/folders/w6/9kh8n81x3z9097k63m9r40h40000gp/T/10d499e0cee2d98a870256bf953ffe74.index\n",
-      "INFO:root:Index /var/folders/w6/9kh8n81x3z9097k63m9r40h40000gp/T/10d499e0cee2d98a870256bf953ffe74.index has in total 569 frames\n",
-      "INFO:root:Loading indexed hashes from /var/folders/w6/9kh8n81x3z9097k63m9r40h40000gp/T/265732a300bbe18c4d39df108fe0c121.index\n",
-      "INFO:root:Index /var/folders/w6/9kh8n81x3z9097k63m9r40h40000gp/T/265732a300bbe18c4d39df108fe0c121.index has in total 7085 frames\n",
-      "WARNING:root:No matches found for any distance between 4 and 50\n",
-      "INFO:root:No matches found between https://video.twimg.com/amplify_video/1572649668923768835/vid/480x270/nh9EVfBCy_MCv-_h.mp4?tag=14 and https://amcpwetkms-euwe.streaming.media.azure.net/0010e470-ce9d-4424-9462-8e8e10efc5af/download-20220921133038Z.mp4!\n",
-      "INFO:root:Loading indexed hashes from /var/folders/w6/9kh8n81x3z9097k63m9r40h40000gp/T/10d499e0cee2d98a870256bf953ffe74.index\n",
-      "INFO:root:Index /var/folders/w6/9kh8n81x3z9097k63m9r40h40000gp/T/10d499e0cee2d98a870256bf953ffe74.index has in total 569 frames\n",
-      "INFO:root:Loading indexed hashes from /var/folders/w6/9kh8n81x3z9097k63m9r40h40000gp/T/d0369414718aa9573ff9d009f4f61cc0.index\n",
-      "INFO:root:Index /var/folders/w6/9kh8n81x3z9097k63m9r40h40000gp/T/d0369414718aa9573ff9d009f4f61cc0.index has in total 162990 frames\n",
-      "WARNING:root:No matches found for any distance between 4 and 50\n",
-      "INFO:root:No matches found between https://video.twimg.com/amplify_video/1572649668923768835/vid/480x270/nh9EVfBCy_MCv-_h.mp4?tag=14 and https://amcpwetkms-euwe.streaming.media.azure.net/a702d77f-49c5-4a69-a6f7-28e29ae4d1fe/20220921_pz_155828-010143_v2.mp4!\n",
-      "INFO:root:Loading indexed hashes from /var/folders/w6/9kh8n81x3z9097k63m9r40h40000gp/T/10d499e0cee2d98a870256bf953ffe74.index\n",
-      "INFO:root:Index /var/folders/w6/9kh8n81x3z9097k63m9r40h40000gp/T/10d499e0cee2d98a870256bf953ffe74.index has in total 569 frames\n",
-      "INFO:root:Loading indexed hashes from /var/folders/w6/9kh8n81x3z9097k63m9r40h40000gp/T/b3cf94671de7aadc22970483150aafd5.index\n",
-      "INFO:root:Index /var/folders/w6/9kh8n81x3z9097k63m9r40h40000gp/T/b3cf94671de7aadc22970483150aafd5.index has in total 58 frames\n",
-      "WARNING:root:No matches found for any distance between 4 and 50\n",
-      "INFO:root:No matches found between https://video.twimg.com/amplify_video/1572649668923768835/vid/480x270/nh9EVfBCy_MCv-_h.mp4?tag=14 and https://amcpwetkms-euwe.streaming.media.azure.net/74c2e164-212d-4eda-a3ef-2dc406eea19b/download-20220922081620Z.mp4!\n",
-      "INFO:root:Loading indexed hashes from /var/folders/w6/9kh8n81x3z9097k63m9r40h40000gp/T/10d499e0cee2d98a870256bf953ffe74.index\n",
-      "INFO:root:Index /var/folders/w6/9kh8n81x3z9097k63m9r40h40000gp/T/10d499e0cee2d98a870256bf953ffe74.index has in total 569 frames\n",
-      "INFO:root:Loading indexed hashes from /var/folders/w6/9kh8n81x3z9097k63m9r40h40000gp/T/75617545ba72efdc9a7b2b140184a9c6.index\n",
-      "INFO:root:Index /var/folders/w6/9kh8n81x3z9097k63m9r40h40000gp/T/75617545ba72efdc9a7b2b140184a9c6.index has in total 82628 frames\n",
-      "WARNING:root:No matches found for any distance between 4 and 50\n",
-      "INFO:root:No matches found between https://video.twimg.com/amplify_video/1572649668923768835/vid/480x270/nh9EVfBCy_MCv-_h.mp4?tag=14 and https://amcpwetkms-euwe.streaming.media.azure.net/74c2e164-212d-4eda-a3ef-2dc406eea19b/download-20220922081653Z.mp4!\n",
-      "INFO:root:Loading indexed hashes from /var/folders/w6/9kh8n81x3z9097k63m9r40h40000gp/T/10d499e0cee2d98a870256bf953ffe74.index\n",
-      "INFO:root:Index /var/folders/w6/9kh8n81x3z9097k63m9r40h40000gp/T/10d499e0cee2d98a870256bf953ffe74.index has in total 569 frames\n",
-      "INFO:root:Loading indexed hashes from /var/folders/w6/9kh8n81x3z9097k63m9r40h40000gp/T/1de5e559d3d190ca09ac3fa6b40a0138.index\n",
-      "INFO:root:Index /var/folders/w6/9kh8n81x3z9097k63m9r40h40000gp/T/1de5e559d3d190ca09ac3fa6b40a0138.index has in total 116 frames\n",
-      "WARNING:root:No matches found for any distance between 4 and 50\n",
-      "INFO:root:No matches found between https://video.twimg.com/amplify_video/1572649668923768835/vid/480x270/nh9EVfBCy_MCv-_h.mp4?tag=14 and https://amcpwetkms-euwe.streaming.media.azure.net/74c2e164-212d-4eda-a3ef-2dc406eea19b/download-20220922125211Z.mp4!\n",
-      "INFO:root:Loading indexed hashes from /var/folders/w6/9kh8n81x3z9097k63m9r40h40000gp/T/10d499e0cee2d98a870256bf953ffe74.index\n",
-      "INFO:root:Index /var/folders/w6/9kh8n81x3z9097k63m9r40h40000gp/T/10d499e0cee2d98a870256bf953ffe74.index has in total 569 frames\n",
-      "INFO:root:Loading indexed hashes from /var/folders/w6/9kh8n81x3z9097k63m9r40h40000gp/T/0fd24e056447f6cd068f40ba2e41828c.index\n",
-      "INFO:root:Index /var/folders/w6/9kh8n81x3z9097k63m9r40h40000gp/T/0fd24e056447f6cd068f40ba2e41828c.index has in total 432 frames\n",
-      "WARNING:root:No matches found for any distance between 4 and 50\n",
-      "INFO:root:No matches found between https://video.twimg.com/amplify_video/1572649668923768835/vid/480x270/nh9EVfBCy_MCv-_h.mp4?tag=14 and https://amcpwetkms-euwe.streaming.media.azure.net/74c2e164-212d-4eda-a3ef-2dc406eea19b/download-20220922125220Z.mp4!\n",
-      "INFO:root:Loading indexed hashes from /var/folders/w6/9kh8n81x3z9097k63m9r40h40000gp/T/10d499e0cee2d98a870256bf953ffe74.index\n",
-      "INFO:root:Index /var/folders/w6/9kh8n81x3z9097k63m9r40h40000gp/T/10d499e0cee2d98a870256bf953ffe74.index has in total 569 frames\n",
-      "INFO:root:Loading indexed hashes from /var/folders/w6/9kh8n81x3z9097k63m9r40h40000gp/T/2909574cb590231c5d1028032bd849a8.index\n",
-      "INFO:root:Index /var/folders/w6/9kh8n81x3z9097k63m9r40h40000gp/T/2909574cb590231c5d1028032bd849a8.index has in total 157162 frames\n",
-      "WARNING:root:No matches found for any distance between 4 and 50\n",
-      "INFO:root:No matches found between https://video.twimg.com/amplify_video/1572649668923768835/vid/480x270/nh9EVfBCy_MCv-_h.mp4?tag=14 and https://amcpwetkms-euwe.streaming.media.azure.net/74c2e164-212d-4eda-a3ef-2dc406eea19b/download-20220922125338Z.mp4!\n",
-      "INFO:root:Loading indexed hashes from /var/folders/w6/9kh8n81x3z9097k63m9r40h40000gp/T/10d499e0cee2d98a870256bf953ffe74.index\n",
-      "INFO:root:Index /var/folders/w6/9kh8n81x3z9097k63m9r40h40000gp/T/10d499e0cee2d98a870256bf953ffe74.index has in total 569 frames\n",
-      "INFO:root:Loading indexed hashes from /var/folders/w6/9kh8n81x3z9097k63m9r40h40000gp/T/9c0a24aa59358ee014ded54c88eaa6c1.index\n",
-      "INFO:root:Index /var/folders/w6/9kh8n81x3z9097k63m9r40h40000gp/T/9c0a24aa59358ee014ded54c88eaa6c1.index has in total 7344 frames\n",
-      "WARNING:root:No matches found for any distance between 4 and 50\n",
-      "INFO:root:No matches found between https://video.twimg.com/amplify_video/1572649668923768835/vid/480x270/nh9EVfBCy_MCv-_h.mp4?tag=14 and https://amcpwetkms-euwe.streaming.media.azure.net/74c2e164-212d-4eda-a3ef-2dc406eea19b/download-20220922213719Z.mp4!\n"
-     ]
-    },
-    {
-     "data": {
-      "text/plain": [
-       "[{'Target Start Time': '00:00:00',\n",
-       "  'Target End Time': '00:00:08',\n",
-       "  'Source Start Time': '02:09:46',\n",
-       "  'Source End Time': '02:09:54',\n",
-       "  'Source Video ID': 'https://debatgemist.tweedekamer.nl/debatten/algemene-politieke-beschouwingen-1e-termijn-kamer-0',\n",
-       "  'Source Video .mp4': 'https://amcpwetkms-euwe.streaming.media.azure.net/0010e470-ce9d-4424-9462-8e8e10efc5af/download-20220921082013Z.mp4',\n",
-       "  'Uncertainty': 0.716,\n",
-       "  'Average Offset in Seconds': -2.386},\n",
-       " {'Target Start Time': '00:00:08',\n",
-       "  'Target End Time': '00:00:10',\n",
-       "  'Source Start Time': '02:11:07',\n",
-       "  'Source End Time': '02:11:09',\n",
-       "  'Source Video ID': 'https://debatgemist.tweedekamer.nl/debatten/algemene-politieke-beschouwingen-1e-termijn-kamer-0',\n",
-       "  'Source Video .mp4': 'https://amcpwetkms-euwe.streaming.media.azure.net/0010e470-ce9d-4424-9462-8e8e10efc5af/download-20220921082013Z.mp4',\n",
-       "  'Uncertainty': 0.992,\n",
-       "  'Average Offset in Seconds': 64.819},\n",
-       " {'Target Start Time': '00:00:10',\n",
-       "  'Target End Time': '00:01:36',\n",
-       "  'Source Start Time': '02:12:16',\n",
-       "  'Source End Time': '02:13:42',\n",
-       "  'Source Video ID': 'https://debatgemist.tweedekamer.nl/debatten/algemene-politieke-beschouwingen-1e-termijn-kamer-0',\n",
-       "  'Source Video .mp4': 'https://amcpwetkms-euwe.streaming.media.azure.net/0010e470-ce9d-4424-9462-8e8e10efc5af/download-20220921082013Z.mp4',\n",
-       "  'Uncertainty': 21.812,\n",
-       "  'Average Offset in Seconds': 150.838},\n",
-       " {'Target Start Time': '00:01:36',\n",
-       "  'Target End Time': '00:01:45',\n",
-       "  'Source Start Time': '02:15:57',\n",
-       "  'Source End Time': '02:16:06',\n",
-       "  'Source Video ID': 'https://debatgemist.tweedekamer.nl/debatten/algemene-politieke-beschouwingen-1e-termijn-kamer-0',\n",
-       "  'Source Video .mp4': 'https://amcpwetkms-euwe.streaming.media.azure.net/0010e470-ce9d-4424-9462-8e8e10efc5af/download-20220921082013Z.mp4',\n",
-       "  'Uncertainty': 0.208,\n",
-       "  'Average Offset in Seconds': 270.285}]"
-      ]
-     },
-     "execution_count": 2,
-     "metadata": {},
-     "output_type": "execute_result"
-    },
-    {
-     "data": {
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-      "text/plain": [
-       "<Figure size 4800x1800 with 4 Axes>"
-      ]
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-       "<Figure size 432x288 with 0 Axes>"
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-     "data": {
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-      "text/plain": [
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-   "source": [
-    "multiple_comparison(\"https://video.twimg.com/amplify_video/1572649668923768835/vid/480x270/nh9EVfBCy_MCv-_h.mp4?tag=14\")"
-   ]
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-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  }
- ],
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- "nbformat_minor": 2
-}