{
  "cells": [
    {
      "cell_type": "markdown",
      "id": "Mq5iNIZ9xWxt",
      "metadata": {
        "id": "Mq5iNIZ9xWxt"
      },
      "source": [
        "# Example Submission for S23DR Challenge\n",
        "\n",
        "### Helpful Links\n",
        "[Challenge Page](https://huggingface.co/spaces/usm3d/S23DR)  \n",
        "[Workshop Page](usm3d.github.io)  \n",
        "\n",
        "[HoHo Train Set](https://huggingface.co/datasets/usm3d/hoho-train-set)  \n",
        "[Handcrafted Baseline Solution](https://huggingface.co/usm3d/handcrafted_baseline_submission)\n"
      ]
    },
    {
      "cell_type": "markdown",
      "id": "dua8UJOoxiDi",
      "metadata": {
        "id": "dua8UJOoxiDi"
      },
      "source": [
        "## Setup\n",
        "\n",
        "We'll start by checking if we are running to Google Colab (and if we are setting `IN_COLAB = True` and installing the [hoho tools](https://huggingface.co/usm3d/tools))."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 1,
      "id": "ItDDqoXop8bb",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "ItDDqoXop8bb",
        "outputId": "30e9ecff-d680-47c8-aa5c-70c2b4d3012f"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Collecting git+http://hf.co/usm3d/tools.git\n",
            "  Cloning http://hf.co/usm3d/tools.git to /tmp/pip-req-build-_f80x0lx\n",
            "  Running command git clone --filter=blob:none --quiet http://hf.co/usm3d/tools.git /tmp/pip-req-build-_f80x0lx\n",
            "  warning: redirecting to https://huggingface.co/usm3d/tools.git/\n",
            "  Resolved http://hf.co/usm3d/tools.git to commit edc78606eec1fe10e90d8f6cb834a24395b95f94\n",
            "  Preparing metadata (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
            "Requirement already satisfied: numpy in /usr/local/lib/python3.10/dist-packages (from hoho==0.0.2) (1.25.2)\n",
            "Requirement already satisfied: pillow in /usr/local/lib/python3.10/dist-packages (from hoho==0.0.2) (9.4.0)\n",
            "Collecting webdataset (from hoho==0.0.2)\n",
            "  Downloading webdataset-0.2.86-py3-none-any.whl (70 kB)\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m70.4/70.4 kB\u001b[0m \u001b[31m474.0 kB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[?25hCollecting trimesh (from hoho==0.0.2)\n",
            "  Downloading trimesh-4.3.2-py3-none-any.whl (693 kB)\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m693.9/693.9 kB\u001b[0m \u001b[31m7.7 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[?25hRequirement already satisfied: scipy in /usr/local/lib/python3.10/dist-packages (from hoho==0.0.2) (1.11.4)\n",
            "Collecting datasets (from hoho==0.0.2)\n",
            "  Downloading datasets-2.19.0-py3-none-any.whl (542 kB)\n",
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            "Collecting dill<0.3.9,>=0.3.0 (from datasets->hoho==0.0.2)\n",
            "  Downloading dill-0.3.8-py3-none-any.whl (116 kB)\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m116.3/116.3 kB\u001b[0m \u001b[31m5.0 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
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            "Requirement already satisfied: requests>=2.19.0 in /usr/local/lib/python3.10/dist-packages (from datasets->hoho==0.0.2) (2.31.0)\n",
            "Requirement already satisfied: tqdm>=4.62.1 in /usr/local/lib/python3.10/dist-packages (from datasets->hoho==0.0.2) (4.66.2)\n",
            "Collecting xxhash (from datasets->hoho==0.0.2)\n",
            "  Downloading xxhash-3.4.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (194 kB)\n",
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            "\u001b[?25hCollecting multiprocess (from datasets->hoho==0.0.2)\n",
            "  Downloading multiprocess-0.70.16-py310-none-any.whl (134 kB)\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m134.8/134.8 kB\u001b[0m \u001b[31m5.5 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[?25hRequirement already satisfied: fsspec[http]<=2024.3.1,>=2023.1.0 in /usr/local/lib/python3.10/dist-packages (from datasets->hoho==0.0.2) (2023.6.0)\n",
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            "Collecting huggingface-hub>=0.21.2 (from datasets->hoho==0.0.2)\n",
            "  Downloading huggingface_hub-0.22.2-py3-none-any.whl (388 kB)\n",
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            "\u001b[?25hRequirement already satisfied: packaging in /usr/local/lib/python3.10/dist-packages (from datasets->hoho==0.0.2) (24.0)\n",
            "Requirement already satisfied: pyyaml>=5.1 in /usr/local/lib/python3.10/dist-packages (from datasets->hoho==0.0.2) (6.0.1)\n",
            "Collecting braceexpand (from webdataset->hoho==0.0.2)\n",
            "  Downloading braceexpand-0.1.7-py2.py3-none-any.whl (5.9 kB)\n",
            "Requirement already satisfied: aiosignal>=1.1.2 in /usr/local/lib/python3.10/dist-packages (from aiohttp->datasets->hoho==0.0.2) (1.3.1)\n",
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            "Requirement already satisfied: multidict<7.0,>=4.5 in /usr/local/lib/python3.10/dist-packages (from aiohttp->datasets->hoho==0.0.2) (6.0.5)\n",
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            "Requirement already satisfied: async-timeout<5.0,>=4.0 in /usr/local/lib/python3.10/dist-packages (from aiohttp->datasets->hoho==0.0.2) (4.0.3)\n",
            "Requirement already satisfied: typing-extensions>=3.7.4.3 in /usr/local/lib/python3.10/dist-packages (from huggingface-hub>=0.21.2->datasets->hoho==0.0.2) (4.11.0)\n",
            "Requirement already satisfied: charset-normalizer<4,>=2 in /usr/local/lib/python3.10/dist-packages (from requests>=2.19.0->datasets->hoho==0.0.2) (3.3.2)\n",
            "Requirement already satisfied: idna<4,>=2.5 in /usr/local/lib/python3.10/dist-packages (from requests>=2.19.0->datasets->hoho==0.0.2) (3.7)\n",
            "Requirement already satisfied: urllib3<3,>=1.21.1 in /usr/local/lib/python3.10/dist-packages (from requests>=2.19.0->datasets->hoho==0.0.2) (2.0.7)\n",
            "Requirement already satisfied: certifi>=2017.4.17 in /usr/local/lib/python3.10/dist-packages (from requests>=2.19.0->datasets->hoho==0.0.2) (2024.2.2)\n",
            "Requirement already satisfied: python-dateutil>=2.8.2 in /usr/local/lib/python3.10/dist-packages (from pandas->datasets->hoho==0.0.2) (2.8.2)\n",
            "Requirement already satisfied: pytz>=2020.1 in /usr/local/lib/python3.10/dist-packages (from pandas->datasets->hoho==0.0.2) (2023.4)\n",
            "Requirement already satisfied: tzdata>=2022.1 in /usr/local/lib/python3.10/dist-packages (from pandas->datasets->hoho==0.0.2) (2024.1)\n",
            "Requirement already satisfied: six>=1.5 in /usr/local/lib/python3.10/dist-packages (from python-dateutil>=2.8.2->pandas->datasets->hoho==0.0.2) (1.16.0)\n",
            "Building wheels for collected packages: hoho\n",
            "  Building wheel for hoho (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
            "  Created wheel for hoho: filename=hoho-0.0.2-py3-none-any.whl size=19721 sha256=9393a7dad2e567f92d08d54a6c0c969ec51d994fafbe4a4c5661c1bb8224f81f\n",
            "  Stored in directory: /tmp/pip-ephem-wheel-cache-8jti94yk/wheels/d3/de/c1/ac1615d96ac4623ed9c567bfa6301ed76edb6a75261fb9d292\n",
            "Successfully built hoho\n",
            "Installing collected packages: braceexpand, xxhash, webdataset, trimesh, dill, multiprocess, huggingface-hub, datasets, hoho\n",
            "  Attempting uninstall: huggingface-hub\n",
            "    Found existing installation: huggingface-hub 0.20.3\n",
            "    Uninstalling huggingface-hub-0.20.3:\n",
            "      Successfully uninstalled huggingface-hub-0.20.3\n",
            "Successfully installed braceexpand-0.1.7 datasets-2.19.0 dill-0.3.8 hoho-0.0.2 huggingface-hub-0.22.2 multiprocess-0.70.16 trimesh-4.3.2 webdataset-0.2.86 xxhash-3.4.1\n"
          ]
        }
      ],
      "source": [
        "try:\n",
        "  import google.colab\n",
        "  IN_COLAB = True\n",
        "except:\n",
        "  IN_COLAB = False\n",
        "\n",
        "if IN_COLAB:\n",
        "    !pip install git+http://hf.co/usm3d/tools.git"
      ]
    },
    {
      "cell_type": "markdown",
      "id": "2tHX74Z-x1cU",
      "metadata": {
        "id": "2tHX74Z-x1cU"
      },
      "source": [
        "We need to be logged into HF for this to work because the training dataset is gated. If you haven't already please go to the [dastaset page](https://huggingface.co/datasets/usm3d/hoho-train-set) to agree to our terms and request access to the dataset."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 2,
      "id": "zq_ljluLqzzv",
      "metadata": {
        "id": "zq_ljluLqzzv"
      },
      "outputs": [],
      "source": [
        "import os\n",
        "from pathlib import Path\n",
        "\n",
        "\n",
        "if IN_COLAB:\n",
        "    from google.colab import userdata\n",
        "    hf_token = os.environ.get('HF_TOKEN')\n",
        "    if hf_token is None:\n",
        "        hf_home = os.environ.get('HF_HOME', '~/.cache/huggingface')\n",
        "        token_path = (Path(hf_home) / 'token')\n",
        "        if token_path.exists():\n",
        "            with token_path.open() as f:\n",
        "                hf_token = f.read()\n",
        "        else:\n",
        "            try:\n",
        "                hf_token = userdata.get('HF_TOKEN')\n",
        "            except (userdata.SecretNotFoundError, userdata.NotebookAccessError):\n",
        "                print(\"If you would like you can save your HuggingFace token (called HF_TOKEN) as a secret in colab.\")\n",
        "\n",
        "    if hf_token is not None:\n",
        "        os.environ['HF_TOKEN'] = hf_token\n",
        "    else:\n",
        "        !huggingface-cli login"
      ]
    },
    {
      "cell_type": "code",
      "source": [],
      "metadata": {
        "id": "RGxnc7-zSUd2"
      },
      "id": "RGxnc7-zSUd2",
      "execution_count": 2,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "Now that we are logged in, let's create a repo for our solution"
      ],
      "metadata": {
        "id": "hx857th3Ne1Z"
      },
      "id": "hx857th3Ne1Z"
    },
    {
      "cell_type": "code",
      "source": [
        "from huggingface_hub import HfApi\n",
        "from pathlib import Path\n",
        "\n",
        "hf_api = HfApi()\n",
        "\n",
        "submission_name = 'my_cool_submission'\n",
        "\n",
        "# Set the repository IDs\n",
        "source_repo_id = \"usm3d/empty_submission\"\n",
        "target_repo_id = f\"{hf_api.whoami()['name']}/{submission_name}\"\n",
        "upstream = Path('upstream')\n",
        "upstream.mkdir(exist_ok=True)\n",
        "\n",
        "# Download the source repository locally\n",
        "local_dir = hf_api.snapshot_download(repo_id=source_repo_id, local_dir=upstream, local_dir_use_symlinks=False)\n",
        "print(local_dir)\n",
        "\n",
        "# Create a new repository in the user's account\n",
        "new_repo = hf_api.create_repo(repo_id=target_repo_id, exist_ok=True)\n",
        "print(new_repo)\n",
        "\n",
        "# Upload the files to the new repository\n",
        "operations = [\n",
        "    hf_api.upload_folder(\n",
        "        folder_path=upstream,\n",
        "        path_in_repo=\".\",\n",
        "        repo_id=target_repo_id,\n",
        "    )\n",
        "]\n",
        "print(operations)\n",
        "\n",
        "# Download the new repo\n",
        "my_cool_submission = hf_api.snapshot_download(repo_id=target_repo_id, local_dir=submission_name, local_dir_use_symlinks=False)\n",
        "print(my_cool_submission)\n",
        "\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 478,
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            "text/plain": [
              "Fetching 4 files:   0%|          | 0/4 [00:00<?, ?it/s]"
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            "/content/upstream\n",
            "https://huggingface.co/jacklangerman/my_cool_submission\n"
          ]
        },
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            "/usr/local/lib/python3.10/dist-packages/huggingface_hub/hf_api.py:3757: UserWarning: Warnings while validating metadata in README.md:\n",
            "- empty or missing yaml metadata in repo card\n",
            "  warnings.warn(f\"Warnings while validating metadata in README.md:\\n{message}\")\n"
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            "[CommitInfo(commit_url='https://huggingface.co/jacklangerman/my_cool_submission/commit/cf2674657e323a780be31c0a904cc2c71e1183aa', commit_message='Upload folder using huggingface_hub', commit_description='', oid='cf2674657e323a780be31c0a904cc2c71e1183aa', pr_url=None, pr_revision=None, pr_num=None)]\n"
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          "name": "stdout",
          "text": [
            "/content/my_cool_submission\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 3,
      "id": "a4584502",
      "metadata": {
        "id": "a4584502"
      },
      "outputs": [],
      "source": []
    },
    {
      "cell_type": "code",
      "source": [
        "# change directories into our submission folder\n",
        "%cd $submission_name\n",
        "\n",
        "# update the readme\n",
        "with open('README.md', 'w') as f:\n",
        "    f.write(f\"# {' '.join(submission_name.split('_')).title()}\\n\\nThis repo contains a submission to the [S23DR Challenge](https://huggingface.co/spaces/usm3d/S23DR) (part of the [USM3D](https://usm3d.github.io/) workshop at CVPR2024). It was prepared by [{hf_api.whoami()['name']}](https://huggingface.co/{hf_api.whoami()['name']}).\\n\\n\")"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "NfxHRGClBYQE",
        "outputId": "b1ef8073-2e4e-4303-ce24-fbd01d3ff910"
      },
      "id": "NfxHRGClBYQE",
      "execution_count": 4,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "/content/my_cool_submission\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [],
      "metadata": {
        "id": "viNhQ5JOBYbs"
      },
      "id": "viNhQ5JOBYbs",
      "execution_count": 4,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "## Edit the solution\n",
        "\n",
        "**Now you can open up the example solution `script.py` and edit it with your cool ideas.**\n",
        "\n",
        "<br>\n",
        "\n",
        "<img src='https://huggingface.co/datasets/jacklangerman/hosted_images/resolve/main/open_script/step1.png' width=374 style=\"display: inline;\">\n",
        "<img src='https://huggingface.co/datasets/jacklangerman/hosted_images/resolve/main/open_script/step2.png' width=374 style=\"display: inline;\">\n",
        "<img src='https://huggingface.co/datasets/jacklangerman/hosted_images/resolve/main/open_script/step3.png' width=374 style=\"display: inline;\">\n",
        "<img src='https://huggingface.co/datasets/jacklangerman/hosted_images/resolve/main/open_script/step4.png' width=374 style=\"display: inline;\">\n",
        "\n",
        "**Once you get it open, edit `script.py`. Make sure to save your changes and upload them to your repo using the following snippet.**"
      ],
      "metadata": {
        "id": "QbKlhw5p_t26"
      },
      "id": "QbKlhw5p_t26"
    },
    {
      "cell_type": "code",
      "source": [],
      "metadata": {
        "id": "ZymO55T4HGSU"
      },
      "id": "ZymO55T4HGSU",
      "execution_count": 4,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "# Upload our changes to the solution\n",
        "operations = [\n",
        "    hf_api.upload_folder(\n",
        "        folder_path='.',\n",
        "        path_in_repo=\".\",\n",
        "        repo_id=target_repo_id,\n",
        "    )\n",
        "]\n",
        "print(operations)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "4Y0eTe7M_vIJ",
        "outputId": "c77b0e72-c47e-4b3b-b724-dcce4b911d42"
      },
      "id": "4Y0eTe7M_vIJ",
      "execution_count": 5,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[CommitInfo(commit_url='https://huggingface.co/jacklangerman/my_cool_submission/commit/72afb9f513105b77d82c549e0b3509ed7274e197', commit_message='Upload folder using huggingface_hub', commit_description='', oid='72afb9f513105b77d82c549e0b3509ed7274e197', pr_url=None, pr_revision=None, pr_num=None)]\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "## Submit your solution to the competition"
      ],
      "metadata": {
        "id": "Ig9wun5QYOQ_"
      },
      "id": "Ig9wun5QYOQ_"
    },
    {
      "cell_type": "code",
      "source": [
        "from IPython.display import Markdown as md\n",
        "\n",
        "# Follow the instructions below\n",
        "md(f'''\n",
        "1. Follow this link to the competition space for the [S23DR Challenge](https://huggingface.co/spaces/usm3d/S23DR)\n",
        "<br>\n",
        "2. Login to Hugging Face. <br>\n",
        "<img src=\"https://huggingface.co/datasets/jacklangerman/hosted_images/resolve/main/submit_to_s23rd/login.png\" width=512>\n",
        "<br>\n",
        "\n",
        "3. Click \"New submission\" <br>\n",
        "<img src=\"https://huggingface.co/datasets/jacklangerman/hosted_images/resolve/main/submit_to_s23rd/click_new_submission.png\" width=512>\n",
        "<br>\n",
        "\n",
        "4. Enter in the repo_id of your submission ([{hf_api.whoami()[\"name\"]}/{submission_name}](https://huggingface.co/{hf_api.whoami()[\"name\"]}/{submission_name}))<br>\n",
        "<br>\n",
        "<img src=\"https://huggingface.co/datasets/jacklangerman/hosted_images/resolve/main/submit_to_s23rd/name_and_desc.png\" width=512>\n",
        "<br>\n",
        "\n",
        "''')"
      ],
      "metadata": {
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      "execution_count": 6,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<IPython.core.display.Markdown object>"
            ],
            "text/markdown": "\n1. Follow this link to the competition space for the [S23DR Challenge](https://huggingface.co/spaces/usm3d/S23DR)\n<br>\n2. Login to Hugging Face. <br>\n<img src=\"https://huggingface.co/datasets/jacklangerman/hosted_images/resolve/main/submit_to_s23rd/login.png\" width=512>\n<br>\n\n3. Click \"New submission\" <br>\n<img src=\"https://huggingface.co/datasets/jacklangerman/hosted_images/resolve/main/submit_to_s23rd/click_new_submission.png\" width=512>\n<br>\n\n4. Enter in the repo_id of your submission ([jacklangerman/my_cool_submission](https://huggingface.co/jacklangerman/my_cool_submission))<br>\n<br>\n<img src=\"https://huggingface.co/datasets/jacklangerman/hosted_images/resolve/main/submit_to_s23rd/name_and_desc.png\" width=512>\n<br>\n\n"
          },
          "metadata": {},
          "execution_count": 6
        }
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    }
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