diff --git a/notebooks/environment-pyt1.yml b/notebooks/environment-pyt1.yml
new file mode 100644
index 000000000..e1bfa452b
--- /dev/null
+++ b/notebooks/environment-pyt1.yml
@@ -0,0 +1,184 @@
+name: dinov2
+channels:
+ - conda-forge
+ - defaults
+dependencies:
+ - _libgcc_mutex=0.1=conda_forge
+ - _openmp_mutex=4.5=2_gnu
+ - bzip2=1.0.8=h7b6447c_0
+ - ca-certificates=2024.2.2=hbcca054_0
+ - cudatoolkit-dev=11.7.0=h1de0b5d_6
+ - ld_impl_linux-64=2.38=h1181459_1
+ - libffi=3.4.4=h6a678d5_0
+ - libgcc-ng=13.2.0=h807b86a_5
+ - libgomp=13.2.0=h807b86a_5
+ - libstdcxx-ng=11.2.0=h1234567_1
+ - libuuid=1.41.5=h5eee18b_0
+ - ncurses=6.4=h6a678d5_0
+ - openssl=3.2.1=hd590300_0
+ - pip=23.3.1=py310h06a4308_0
+ - python=3.10.13=h955ad1f_0
+ - readline=8.2=h5eee18b_0
+ - sqlite=3.41.2=h5eee18b_0
+ - tk=8.6.12=h1ccaba5_0
+ - tzdata=2023d=h04d1e81_0
+ - wheel=0.41.2=py310h06a4308_0
+ - xz=5.4.5=h5eee18b_0
+ - zlib=1.2.13=h5eee18b_0
+ - pip:
+ - addict==2.4.0
+ - aliyun-python-sdk-core==2.14.0
+ - aliyun-python-sdk-kms==2.16.2
+ - antlr4-python3-runtime==4.9.3
+ - asttokens==2.4.1
+ - cachetools==5.3.2
+ - certifi==2023.11.17
+ - cffi==1.16.0
+ - charset-normalizer==3.3.2
+ - click==8.1.7
+ - cloudpickle==3.0.0
+ - cmake==3.28.1
+ - colorama==0.4.6
+ - comm==0.2.1
+ - contourpy==1.2.0
+ - crcmod==1.7
+ - cryptography==42.0.2
+ - cubinlinker-cu11==0.3.0.post1
+ - cuda-python==11.8.3
+ - cudf-cu11==23.12.1
+ - cuml-cu11==23.12.0
+ - cupy-cuda11x==13.0.0
+ - cycler==0.12.1
+ - dask==2023.11.0
+ - dask-cuda==23.12.0
+ - dask-cudf-cu11==23.12.0
+ - debugpy==1.8.0
+ - decorator==5.1.1
+ - distributed==2023.11.0
+ - exceptiongroup==1.2.0
+ - executing==2.0.1
+ - fastrlock==0.8.2
+ - filelock==3.13.1
+ - fonttools==4.47.2
+ - fsspec==2023.12.2
+ - ftfy==6.1.3
+ - fvcore==0.1.5.post20221221
+ - idna==3.6
+ - importlib-metadata==7.0.1
+ - iopath==0.1.10
+ - ipykernel==6.29.0
+ - ipython==8.21.0
+ - jedi==0.19.1
+ - jinja2==3.1.3
+ - jmespath==0.10.0
+ - joblib==1.3.2
+ - jupyter-client==8.6.0
+ - jupyter-core==5.7.1
+ - kiwisolver==1.4.5
+ - lit==17.0.6
+ - llvmlite==0.40.1
+ - locket==1.0.0
+ - markdown==3.5.2
+ - markdown-it-py==3.0.0
+ - markupsafe==2.1.4
+ - matplotlib==3.8.2
+ - matplotlib-inline==0.1.6
+ - mdurl==0.1.2
+ - mmcls==0.25.0
+ - mmcv-full==1.5.3
+ - mmengine==0.10.3
+ - mmsegmentation==0.27.0
+ - model-index==0.1.11
+ - mpmath==1.3.0
+ - msgpack==1.0.7
+ - mypy-extensions==1.0.0
+ - nest-asyncio==1.6.0
+ - networkx==3.2.1
+ - numba==0.57.1
+ - numpy==1.24.4
+ - nvidia-cublas-cu11==11.11.3.6
+ - nvidia-cuda-cupti-cu11==11.8.87
+ - nvidia-cuda-nvrtc-cu11==11.8.89
+ - nvidia-cuda-runtime-cu11==11.8.89
+ - nvidia-cudnn-cu11==8.7.0.84
+ - nvidia-cufft-cu11==10.9.0.58
+ - nvidia-curand-cu11==10.3.0.86
+ - nvidia-cusolver-cu11==11.4.1.48
+ - nvidia-cusparse-cu11==11.7.5.86
+ - nvidia-nccl-cu11==2.19.3
+ - nvidia-nvtx-cu11==11.8.86
+ - nvtx==0.2.8
+ - omegaconf==2.3.0
+ - opencv-python==4.9.0.80
+ - opendatalab==0.0.10
+ - openmim==0.3.9
+ - openxlab==0.0.34
+ - ordered-set==4.1.0
+ - oss2==2.17.0
+ - packaging==23.2
+ - pandas==1.5.3
+ - parso==0.8.3
+ - partd==1.4.1
+ - pexpect==4.9.0
+ - pillow==10.2.0
+ - platformdirs==4.2.0
+ - portalocker==2.8.2
+ - prettytable==3.9.0
+ - prompt-toolkit==3.0.43
+ - protobuf==4.25.2
+ - psutil==5.9.8
+ - ptxcompiler-cu11==0.7.0.post1
+ - ptyprocess==0.7.0
+ - pure-eval==0.2.2
+ - pyarrow==14.0.2
+ - pycocotools==2.0.7
+ - pycparser==2.21
+ - pycryptodome==3.20.0
+ - pygments==2.17.2
+ - pylibraft-cu11==23.12.0
+ - pynvml==11.4.1
+ - pyparsing==3.1.1
+ - pyre-extensions==0.0.23
+ - python-dateutil==2.8.2
+ - pytz==2023.4
+ - pyyaml==6.0.1
+ - pyzmq==25.1.2
+ - raft-dask-cu11==23.12.0
+ - rapids-dask-dependency==23.12.1
+ - regex==2023.12.25
+ - requests==2.28.2
+ - rich==13.4.2
+ - rmm-cu11==23.12.0
+ - scipy==1.12.0
+ - setuptools==60.2.0
+ - shapely==2.0.2
+ - six==1.16.0
+ - sortedcontainers==2.4.0
+ - stack-data==0.6.3
+ - submitit==1.5.1
+ - sympy==1.12
+ - tabulate==0.9.0
+ - tblib==3.0.0
+ - termcolor==2.4.0
+ - terminaltables==3.1.10
+ - tomli==2.0.1
+ - toolz==0.12.1
+ - torch==1.12.1+cu116
+ - torchmetrics==0.10.3
+ - torchvision==0.13.1+cu116
+ - tornado==6.4
+ - tqdm==4.65.2
+ - traitlets==5.14.1
+ - treelite==3.9.1
+ - treelite-runtime==3.9.1
+ - triton==2.0.0
+ - typing-extensions==4.9.0
+ - typing-inspect==0.9.0
+ - ucx-py-cu11==0.35.0
+ - urllib3==1.26.18
+ - wcwidth==0.2.13
+ - xformers==0.0.12
+ - yacs==0.1.8
+ - yapf==0.40.2
+ - zict==3.0.0
+ - zipp==3.17.0
diff --git a/notebooks/semantic_segmentation-pyt1.ipynb b/notebooks/semantic_segmentation-pyt1.ipynb
new file mode 100644
index 000000000..bbe40543b
--- /dev/null
+++ b/notebooks/semantic_segmentation-pyt1.ipynb
@@ -0,0 +1,1099 @@
+{
+ "cells": [
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "id": "b470389d-a897-416e-9601-aeacb39cd694",
+ "metadata": {
+ "id": "b470389d-a897-416e-9601-aeacb39cd694"
+ },
+ "outputs": [],
+ "source": [
+ "# Copyright (c) Meta Platforms, Inc. and affiliates."
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "eb5c8577-7dff-41b1-9b04-2dca12940e02",
+ "metadata": {
+ "id": "eb5c8577-7dff-41b1-9b04-2dca12940e02"
+ },
+ "source": [
+ "# Semantic Segmentation Pytorch 1.x
"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "0a8b4f62-2f6d-441b-9928-58080c490a51",
+ "metadata": {
+ "id": "0a8b4f62-2f6d-441b-9928-58080c490a51"
+ },
+ "source": [
+ "## Installation"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "source": [
+ "!pip install -q condacolab\n",
+ "import condacolab\n",
+ "condacolab.install()"
+ ],
+ "metadata": {
+ "colab": {
+ "base_uri": "https://localhost:8080/"
+ },
+ "id": "rA99eRt237Kg",
+ "outputId": "2d96c942-f543-498e-d965-559b5c9956b0"
+ },
+ "id": "rA99eRt237Kg",
+ "execution_count": 1,
+ "outputs": [
+ {
+ "output_type": "stream",
+ "name": "stdout",
+ "text": [
+ "\u001b[33mWARNING: Running pip as the 'root' user can result in broken permissions and conflicting behaviour with the system package manager. It is recommended to use a virtual environment instead: https://pip.pypa.io/warnings/venv\u001b[0m\u001b[33m\n",
+ "\u001b[0m✨🍰✨ Everything looks OK!\n"
+ ]
+ }
+ ]
+ },
+ {
+ "cell_type": "code",
+ "source": [
+ "! conda env list\n",
+ "! conda install -c conda-forge cudatoolkit-dev=11.7"
+ ],
+ "metadata": {
+ "colab": {
+ "base_uri": "https://localhost:8080/"
+ },
+ "id": "qqAGlP977aTZ",
+ "outputId": "27d0b225-1904-467a-a1f7-f6eb90967c1c"
+ },
+ "id": "qqAGlP977aTZ",
+ "execution_count": 2,
+ "outputs": [
+ {
+ "output_type": "stream",
+ "name": "stdout",
+ "text": [
+ "# conda environments:\n",
+ "#\n",
+ "base /usr/local\n",
+ "\n",
+ "Collecting package metadata (current_repodata.json): - \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\bdone\n",
+ "Solving environment: / \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\bdone\n",
+ "\n",
+ "\n",
+ "==> WARNING: A newer version of conda exists. <==\n",
+ " current version: 23.1.0\n",
+ " latest version: 23.11.0\n",
+ "\n",
+ "Please update conda by running\n",
+ "\n",
+ " $ conda update -n base -c conda-forge conda\n",
+ "\n",
+ "Or to minimize the number of packages updated during conda update use\n",
+ "\n",
+ " conda install conda=23.11.0\n",
+ "\n",
+ "\n",
+ "\n",
+ "# All requested packages already installed.\n",
+ "\n"
+ ]
+ }
+ ]
+ },
+ {
+ "cell_type": "code",
+ "source": [
+ "! nvcc --version\n",
+ "! python --version"
+ ],
+ "metadata": {
+ "colab": {
+ "base_uri": "https://localhost:8080/"
+ },
+ "id": "QBG8nWTS8NHX",
+ "outputId": "d56569b0-7f48-4e4c-9583-f41917bd192c"
+ },
+ "id": "QBG8nWTS8NHX",
+ "execution_count": 3,
+ "outputs": [
+ {
+ "output_type": "stream",
+ "name": "stdout",
+ "text": [
+ "nvcc: NVIDIA (R) Cuda compiler driver\n",
+ "Copyright (c) 2005-2022 NVIDIA Corporation\n",
+ "Built on Tue_May__3_18:49:52_PDT_2022\n",
+ "Cuda compilation tools, release 11.7, V11.7.64\n",
+ "Build cuda_11.7.r11.7/compiler.31294372_0\n",
+ "Python 3.10.10\n"
+ ]
+ }
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 4,
+ "id": "9d8d5871-49b2-42d3-bb50-e996d7ff717a",
+ "metadata": {
+ "scrolled": true,
+ "colab": {
+ "base_uri": "https://localhost:8080/"
+ },
+ "id": "9d8d5871-49b2-42d3-bb50-e996d7ff717a",
+ "outputId": "f05e9ca3-f78f-462e-a05a-1460d9a0367a"
+ },
+ "outputs": [
+ {
+ "output_type": "stream",
+ "name": "stdout",
+ "text": [
+ "Found existing installation: torch 1.12.1+cu116\n",
+ "Uninstalling torch-1.12.1+cu116:\n",
+ " Successfully uninstalled torch-1.12.1+cu116\n",
+ "Found existing installation: torchvision 0.13.1+cu116\n",
+ "Uninstalling torchvision-0.13.1+cu116:\n",
+ " Successfully uninstalled torchvision-0.13.1+cu116\n",
+ "\u001b[33mWARNING: Running pip as the 'root' user can result in broken permissions and conflicting behaviour with the system package manager. It is recommended to use a virtual environment instead: https://pip.pypa.io/warnings/venv\u001b[0m\u001b[33m\n",
+ "\u001b[0mLooking in indexes: https://pypi.org/simple, https://download.pytorch.org/whl/cu116, https://pypi.nvidia.com\n",
+ "Collecting torch==1.12.1\n",
+ " Using cached https://download.pytorch.org/whl/cu116/torch-1.12.1%2Bcu116-cp310-cp310-linux_x86_64.whl (1904.8 MB)\n",
+ "Collecting torchvision\n",
+ " Using cached torchvision-0.17.0-cp310-cp310-manylinux1_x86_64.whl (6.9 MB)\n",
+ "Requirement already satisfied: cuml-cu11 in /usr/local/lib/python3.10/site-packages (23.12.0)\n",
+ "Requirement already satisfied: typing-extensions in /usr/local/lib/python3.10/site-packages (from torch==1.12.1) (4.9.0)\n",
+ "Requirement already satisfied: numpy in /usr/local/lib/python3.10/site-packages (from torchvision) (1.24.4)\n",
+ " Using cached torchvision-0.16.2-cp310-cp310-manylinux1_x86_64.whl (6.8 MB)\n",
+ " Using cached torchvision-0.16.1-cp310-cp310-manylinux1_x86_64.whl (6.8 MB)\n",
+ " Using cached torchvision-0.16.0-cp310-cp310-manylinux1_x86_64.whl (6.9 MB)\n",
+ " Using cached torchvision-0.15.2-cp310-cp310-manylinux1_x86_64.whl (6.0 MB)\n",
+ " Using cached torchvision-0.15.1-cp310-cp310-manylinux1_x86_64.whl (6.0 MB)\n",
+ " Using cached https://download.pytorch.org/whl/cu116/torchvision-0.14.1%2Bcu116-cp310-cp310-linux_x86_64.whl (24.2 MB)\n",
+ " Using cached torchvision-0.14.1-cp310-cp310-manylinux1_x86_64.whl (24.2 MB)\n",
+ " Using cached https://download.pytorch.org/whl/cu116/torchvision-0.14.0%2Bcu116-cp310-cp310-linux_x86_64.whl (24.2 MB)\n",
+ "Requirement already satisfied: requests in /usr/local/lib/python3.10/site-packages (from torchvision) (2.28.2)\n",
+ " Using cached torchvision-0.14.0-cp310-cp310-manylinux1_x86_64.whl (24.3 MB)\n",
+ " Using cached https://download.pytorch.org/whl/cu116/torchvision-0.13.1%2Bcu116-cp310-cp310-linux_x86_64.whl (23.5 MB)\n",
+ "Requirement already satisfied: pillow!=8.3.*,>=5.3.0 in /usr/local/lib/python3.10/site-packages (from torchvision) (10.2.0)\n",
+ "Requirement already satisfied: dask-cuda==23.12.* in /usr/local/lib/python3.10/site-packages (from cuml-cu11) (23.12.0)\n",
+ "Requirement already satisfied: treelite-runtime==3.9.1 in /usr/local/lib/python3.10/site-packages (from cuml-cu11) (3.9.1)\n",
+ "Requirement already satisfied: rapids-dask-dependency==23.12.* in /usr/local/lib/python3.10/site-packages (from cuml-cu11) (23.12.1)\n",
+ "Requirement already satisfied: raft-dask-cu11==23.12.* in /usr/local/lib/python3.10/site-packages (from cuml-cu11) (23.12.0)\n",
+ "Requirement already satisfied: scipy>=1.8.0 in /usr/local/lib/python3.10/site-packages (from cuml-cu11) (1.12.0)\n",
+ "Requirement already satisfied: cudf-cu11==23.12.* in /usr/local/lib/python3.10/site-packages (from cuml-cu11) (23.12.1)\n",
+ "Requirement already satisfied: cupy-cuda11x>=12.0.0 in /usr/local/lib/python3.10/site-packages (from cuml-cu11) (13.0.0)\n",
+ "Requirement already satisfied: dask-cudf-cu11==23.12.* in /usr/local/lib/python3.10/site-packages (from cuml-cu11) (23.12.0)\n",
+ "Requirement already satisfied: numba>=0.57 in /usr/local/lib/python3.10/site-packages (from cuml-cu11) (0.57.1)\n",
+ "Requirement already satisfied: joblib>=0.11 in /usr/local/lib/python3.10/site-packages (from cuml-cu11) (1.3.2)\n",
+ "Requirement already satisfied: treelite==3.9.1 in /usr/local/lib/python3.10/site-packages (from cuml-cu11) (3.9.1)\n",
+ "Requirement already satisfied: ptxcompiler-cu11 in /usr/local/lib/python3.10/site-packages (from cudf-cu11==23.12.*->cuml-cu11) (0.7.0.post1)\n",
+ "Requirement already satisfied: protobuf<5,>=4.21 in /usr/local/lib/python3.10/site-packages (from cudf-cu11==23.12.*->cuml-cu11) (4.25.2)\n",
+ "Requirement already satisfied: pandas<1.6.0dev0,>=1.3 in /usr/local/lib/python3.10/site-packages (from cudf-cu11==23.12.*->cuml-cu11) (1.5.3)\n",
+ "Requirement already satisfied: pyarrow<15.0.0a0,>=14.0.1 in /usr/local/lib/python3.10/site-packages (from cudf-cu11==23.12.*->cuml-cu11) (14.0.2)\n",
+ "Requirement already satisfied: cuda-python<12.0a0,>=11.7.1 in /usr/local/lib/python3.10/site-packages (from cudf-cu11==23.12.*->cuml-cu11) (11.8.3)\n",
+ "Requirement already satisfied: rmm-cu11==23.12.* in /usr/local/lib/python3.10/site-packages (from cudf-cu11==23.12.*->cuml-cu11) (23.12.0)\n",
+ "Requirement already satisfied: cachetools in /usr/local/lib/python3.10/site-packages (from cudf-cu11==23.12.*->cuml-cu11) (5.3.2)\n",
+ "Requirement already satisfied: cubinlinker-cu11 in /usr/local/lib/python3.10/site-packages (from cudf-cu11==23.12.*->cuml-cu11) (0.3.0.post1)\n",
+ "Requirement already satisfied: packaging in /usr/local/lib/python3.10/site-packages (from cudf-cu11==23.12.*->cuml-cu11) (23.2)\n",
+ "Requirement already satisfied: fsspec>=0.6.0 in /usr/local/lib/python3.10/site-packages (from cudf-cu11==23.12.*->cuml-cu11) (2023.12.2)\n",
+ "Requirement already satisfied: nvtx>=0.2.1 in /usr/local/lib/python3.10/site-packages (from cudf-cu11==23.12.*->cuml-cu11) (0.2.8)\n",
+ "Requirement already satisfied: rich in /usr/local/lib/python3.10/site-packages (from cudf-cu11==23.12.*->cuml-cu11) (13.4.2)\n",
+ "Requirement already satisfied: pynvml<11.5,>=11.0.0 in /usr/local/lib/python3.10/site-packages (from dask-cuda==23.12.*->cuml-cu11) (11.4.1)\n",
+ "Requirement already satisfied: click>=8.1 in /usr/local/lib/python3.10/site-packages (from dask-cuda==23.12.*->cuml-cu11) (8.1.7)\n",
+ "Requirement already satisfied: zict>=2.0.0 in /usr/local/lib/python3.10/site-packages (from dask-cuda==23.12.*->cuml-cu11) (3.0.0)\n",
+ "Requirement already satisfied: ucx-py-cu11==0.35.* in /usr/local/lib/python3.10/site-packages (from raft-dask-cu11==23.12.*->cuml-cu11) (0.35.0)\n",
+ "Requirement already satisfied: pylibraft-cu11==23.12.* in /usr/local/lib/python3.10/site-packages (from raft-dask-cu11==23.12.*->cuml-cu11) (23.12.0)\n",
+ "Requirement already satisfied: distributed==2023.11.0 in /usr/local/lib/python3.10/site-packages (from rapids-dask-dependency==23.12.*->cuml-cu11) (2023.11.0)\n",
+ "Requirement already satisfied: dask==2023.11.0 in /usr/local/lib/python3.10/site-packages (from rapids-dask-dependency==23.12.*->cuml-cu11) (2023.11.0)\n",
+ "Requirement already satisfied: cloudpickle>=1.5.0 in /usr/local/lib/python3.10/site-packages (from dask==2023.11.0->rapids-dask-dependency==23.12.*->cuml-cu11) (3.0.0)\n",
+ "Requirement already satisfied: importlib-metadata>=4.13.0 in /usr/local/lib/python3.10/site-packages (from dask==2023.11.0->rapids-dask-dependency==23.12.*->cuml-cu11) (7.0.1)\n",
+ "Requirement already satisfied: toolz>=0.10.0 in /usr/local/lib/python3.10/site-packages (from dask==2023.11.0->rapids-dask-dependency==23.12.*->cuml-cu11) (0.12.0)\n",
+ "Requirement already satisfied: partd>=1.2.0 in /usr/local/lib/python3.10/site-packages (from dask==2023.11.0->rapids-dask-dependency==23.12.*->cuml-cu11) (1.4.1)\n",
+ "Requirement already satisfied: pyyaml>=5.3.1 in /usr/local/lib/python3.10/site-packages (from dask==2023.11.0->rapids-dask-dependency==23.12.*->cuml-cu11) (6.0.1)\n",
+ "Requirement already satisfied: msgpack>=1.0.0 in /usr/local/lib/python3.10/site-packages (from distributed==2023.11.0->rapids-dask-dependency==23.12.*->cuml-cu11) (1.0.7)\n",
+ "Requirement already satisfied: jinja2>=2.10.3 in /usr/local/lib/python3.10/site-packages (from distributed==2023.11.0->rapids-dask-dependency==23.12.*->cuml-cu11) (3.1.3)\n",
+ "Requirement already satisfied: tornado>=6.0.4 in /usr/local/lib/python3.10/site-packages (from distributed==2023.11.0->rapids-dask-dependency==23.12.*->cuml-cu11) (6.4)\n",
+ "Requirement already satisfied: psutil>=5.7.2 in /usr/local/lib/python3.10/site-packages (from distributed==2023.11.0->rapids-dask-dependency==23.12.*->cuml-cu11) (5.9.8)\n",
+ "Requirement already satisfied: urllib3>=1.24.3 in /usr/local/lib/python3.10/site-packages (from distributed==2023.11.0->rapids-dask-dependency==23.12.*->cuml-cu11) (1.26.15)\n",
+ "Requirement already satisfied: tblib>=1.6.0 in /usr/local/lib/python3.10/site-packages (from distributed==2023.11.0->rapids-dask-dependency==23.12.*->cuml-cu11) (3.0.0)\n",
+ "Requirement already satisfied: sortedcontainers>=2.0.5 in /usr/local/lib/python3.10/site-packages (from distributed==2023.11.0->rapids-dask-dependency==23.12.*->cuml-cu11) (2.4.0)\n",
+ "Requirement already satisfied: locket>=1.0.0 in /usr/local/lib/python3.10/site-packages (from distributed==2023.11.0->rapids-dask-dependency==23.12.*->cuml-cu11) (1.0.0)\n",
+ "Requirement already satisfied: fastrlock>=0.5 in /usr/local/lib/python3.10/site-packages (from cupy-cuda11x>=12.0.0->cuml-cu11) (0.8.2)\n",
+ "Requirement already satisfied: llvmlite<0.41,>=0.40.0dev0 in /usr/local/lib/python3.10/site-packages (from numba>=0.57->cuml-cu11) (0.40.1)\n",
+ "Requirement already satisfied: certifi>=2017.4.17 in /usr/local/lib/python3.10/site-packages (from requests->torchvision) (2023.11.17)\n",
+ "Requirement already satisfied: charset-normalizer<4,>=2 in /usr/local/lib/python3.10/site-packages (from requests->torchvision) (3.1.0)\n",
+ "Requirement already satisfied: idna<4,>=2.5 in /usr/local/lib/python3.10/site-packages (from requests->torchvision) (3.4)\n",
+ "Requirement already satisfied: pytz>=2020.1 in /usr/local/lib/python3.10/site-packages (from pandas<1.6.0dev0,>=1.3->cudf-cu11==23.12.*->cuml-cu11) (2023.4)\n",
+ "Requirement already satisfied: python-dateutil>=2.8.1 in /usr/local/lib/python3.10/site-packages (from pandas<1.6.0dev0,>=1.3->cudf-cu11==23.12.*->cuml-cu11) (2.8.2)\n",
+ "Requirement already satisfied: markdown-it-py>=2.2.0 in /usr/local/lib/python3.10/site-packages (from rich->cudf-cu11==23.12.*->cuml-cu11) (3.0.0)\n",
+ "Requirement already satisfied: pygments<3.0.0,>=2.13.0 in /usr/local/lib/python3.10/site-packages (from rich->cudf-cu11==23.12.*->cuml-cu11) (2.17.2)\n",
+ "Requirement already satisfied: zipp>=0.5 in /usr/local/lib/python3.10/site-packages (from importlib-metadata>=4.13.0->dask==2023.11.0->rapids-dask-dependency==23.12.*->cuml-cu11) (3.17.0)\n",
+ "Requirement already satisfied: MarkupSafe>=2.0 in /usr/local/lib/python3.10/site-packages (from jinja2>=2.10.3->distributed==2023.11.0->rapids-dask-dependency==23.12.*->cuml-cu11) (2.1.5)\n",
+ "Requirement already satisfied: mdurl~=0.1 in /usr/local/lib/python3.10/site-packages (from markdown-it-py>=2.2.0->rich->cudf-cu11==23.12.*->cuml-cu11) (0.1.2)\n",
+ "Requirement already satisfied: six>=1.5 in /usr/local/lib/python3.10/site-packages (from python-dateutil>=2.8.1->pandas<1.6.0dev0,>=1.3->cudf-cu11==23.12.*->cuml-cu11) (1.16.0)\n",
+ "Installing collected packages: torch, torchvision\n",
+ "Successfully installed torch-1.12.1+cu116 torchvision-0.13.1+cu116\n",
+ "\u001b[33mWARNING: Running pip as the 'root' user can result in broken permissions and conflicting behaviour with the system package manager. It is recommended to use a virtual environment instead: https://pip.pypa.io/warnings/venv\u001b[0m\u001b[33m\n",
+ "\u001b[0mRequirement already satisfied: omegaconf in /usr/local/lib/python3.10/site-packages (2.3.0)\n",
+ "Requirement already satisfied: torchmetrics==0.10.3 in /usr/local/lib/python3.10/site-packages (0.10.3)\n",
+ "Requirement already satisfied: fvcore in /usr/local/lib/python3.10/site-packages (0.1.5.post20221221)\n",
+ "Requirement already satisfied: iopath in /usr/local/lib/python3.10/site-packages (0.1.10)\n",
+ "Requirement already satisfied: xformers==0.0.12 in /usr/local/lib/python3.10/site-packages (0.0.12)\n",
+ "Requirement already satisfied: submitit in /usr/local/lib/python3.10/site-packages (1.5.1)\n",
+ "Requirement already satisfied: packaging in /usr/local/lib/python3.10/site-packages (from torchmetrics==0.10.3) (23.2)\n",
+ "Requirement already satisfied: numpy>=1.17.2 in /usr/local/lib/python3.10/site-packages (from torchmetrics==0.10.3) (1.24.4)\n",
+ "Requirement already satisfied: torch>=1.3.1 in /usr/local/lib/python3.10/site-packages (from torchmetrics==0.10.3) (1.12.1+cu116)\n",
+ "Requirement already satisfied: pyre-extensions==0.0.23 in /usr/local/lib/python3.10/site-packages (from xformers==0.0.12) (0.0.23)\n",
+ "Requirement already satisfied: typing-extensions in /usr/local/lib/python3.10/site-packages (from pyre-extensions==0.0.23->xformers==0.0.12) (4.9.0)\n",
+ "Requirement already satisfied: typing-inspect in /usr/local/lib/python3.10/site-packages (from pyre-extensions==0.0.23->xformers==0.0.12) (0.9.0)\n",
+ "Requirement already satisfied: PyYAML>=5.1.0 in /usr/local/lib/python3.10/site-packages (from omegaconf) (6.0.1)\n",
+ "Requirement already satisfied: antlr4-python3-runtime==4.9.* in /usr/local/lib/python3.10/site-packages (from omegaconf) (4.9.3)\n",
+ "Requirement already satisfied: termcolor>=1.1 in /usr/local/lib/python3.10/site-packages (from fvcore) (2.4.0)\n",
+ "Requirement already satisfied: tqdm in /usr/local/lib/python3.10/site-packages (from fvcore) (4.65.0)\n",
+ "Requirement already satisfied: tabulate in /usr/local/lib/python3.10/site-packages (from fvcore) (0.9.0)\n",
+ "Requirement already satisfied: yacs>=0.1.6 in /usr/local/lib/python3.10/site-packages (from fvcore) (0.1.8)\n",
+ "Requirement already satisfied: Pillow in /usr/local/lib/python3.10/site-packages (from fvcore) (10.2.0)\n",
+ "Requirement already satisfied: portalocker in /usr/local/lib/python3.10/site-packages (from iopath) (2.8.2)\n",
+ "Requirement already satisfied: cloudpickle>=1.2.1 in /usr/local/lib/python3.10/site-packages (from submitit) (3.0.0)\n",
+ "Requirement already satisfied: mypy-extensions>=0.3.0 in /usr/local/lib/python3.10/site-packages (from typing-inspect->pyre-extensions==0.0.23->xformers==0.0.12) (1.0.0)\n",
+ "\u001b[33mWARNING: Running pip as the 'root' user can result in broken permissions and conflicting behaviour with the system package manager. It is recommended to use a virtual environment instead: https://pip.pypa.io/warnings/venv\u001b[0m\u001b[33m\n",
+ "\u001b[0mRequirement already satisfied: openmim in /usr/local/lib/python3.10/site-packages (0.3.9)\n",
+ "Requirement already satisfied: opendatalab in /usr/local/lib/python3.10/site-packages (from openmim) (0.0.10)\n",
+ "Requirement already satisfied: colorama in /usr/local/lib/python3.10/site-packages (from openmim) (0.4.6)\n",
+ "Requirement already satisfied: model-index in /usr/local/lib/python3.10/site-packages (from openmim) (0.1.11)\n",
+ "Requirement already satisfied: pandas in /usr/local/lib/python3.10/site-packages (from openmim) (1.5.3)\n",
+ "Requirement already satisfied: Click in /usr/local/lib/python3.10/site-packages (from openmim) (8.1.7)\n",
+ "Requirement already satisfied: pip>=19.3 in /usr/local/lib/python3.10/site-packages (from openmim) (23.0.1)\n",
+ "Requirement already satisfied: requests in /usr/local/lib/python3.10/site-packages (from openmim) (2.28.2)\n",
+ "Requirement already satisfied: tabulate in /usr/local/lib/python3.10/site-packages (from openmim) (0.9.0)\n",
+ "Requirement already satisfied: rich in /usr/local/lib/python3.10/site-packages (from openmim) (13.4.2)\n",
+ "Requirement already satisfied: ordered-set in /usr/local/lib/python3.10/site-packages (from model-index->openmim) (4.1.0)\n",
+ "Requirement already satisfied: pyyaml in /usr/local/lib/python3.10/site-packages (from model-index->openmim) (6.0.1)\n",
+ "Requirement already satisfied: markdown in /usr/local/lib/python3.10/site-packages (from model-index->openmim) (3.5.2)\n",
+ "Requirement already satisfied: openxlab in /usr/local/lib/python3.10/site-packages (from opendatalab->openmim) (0.0.34)\n",
+ "Requirement already satisfied: tqdm in /usr/local/lib/python3.10/site-packages (from opendatalab->openmim) (4.65.0)\n",
+ "Requirement already satisfied: pycryptodome in /usr/local/lib/python3.10/site-packages (from opendatalab->openmim) (3.20.0)\n",
+ "Requirement already satisfied: charset-normalizer<4,>=2 in /usr/local/lib/python3.10/site-packages (from requests->openmim) (3.1.0)\n",
+ "Requirement already satisfied: idna<4,>=2.5 in /usr/local/lib/python3.10/site-packages (from requests->openmim) (3.4)\n",
+ "Requirement already satisfied: urllib3<1.27,>=1.21.1 in /usr/local/lib/python3.10/site-packages (from requests->openmim) (1.26.15)\n",
+ "Requirement already satisfied: certifi>=2017.4.17 in /usr/local/lib/python3.10/site-packages (from requests->openmim) (2023.11.17)\n",
+ "Requirement already satisfied: python-dateutil>=2.8.1 in /usr/local/lib/python3.10/site-packages (from pandas->openmim) (2.8.2)\n",
+ "Requirement already satisfied: numpy>=1.21.0 in /usr/local/lib/python3.10/site-packages (from pandas->openmim) (1.24.4)\n",
+ "Requirement already satisfied: pytz>=2020.1 in /usr/local/lib/python3.10/site-packages (from pandas->openmim) (2023.4)\n",
+ "Requirement already satisfied: pygments<3.0.0,>=2.13.0 in /usr/local/lib/python3.10/site-packages (from rich->openmim) (2.17.2)\n",
+ "Requirement already satisfied: markdown-it-py>=2.2.0 in /usr/local/lib/python3.10/site-packages (from rich->openmim) (3.0.0)\n",
+ "Requirement already satisfied: mdurl~=0.1 in /usr/local/lib/python3.10/site-packages (from markdown-it-py>=2.2.0->rich->openmim) (0.1.2)\n",
+ "Requirement already satisfied: six>=1.5 in /usr/local/lib/python3.10/site-packages (from python-dateutil>=2.8.1->pandas->openmim) (1.16.0)\n",
+ "Requirement already satisfied: oss2~=2.17.0 in /usr/local/lib/python3.10/site-packages (from openxlab->opendatalab->openmim) (2.17.0)\n",
+ "Requirement already satisfied: setuptools~=60.2.0 in /usr/local/lib/python3.10/site-packages (from openxlab->opendatalab->openmim) (60.2.0)\n",
+ "Requirement already satisfied: crcmod>=1.7 in /usr/local/lib/python3.10/site-packages (from oss2~=2.17.0->openxlab->opendatalab->openmim) (1.7)\n",
+ "Requirement already satisfied: aliyun-python-sdk-core>=2.13.12 in /usr/local/lib/python3.10/site-packages (from oss2~=2.17.0->openxlab->opendatalab->openmim) (2.14.0)\n",
+ "Requirement already satisfied: aliyun-python-sdk-kms>=2.4.1 in /usr/local/lib/python3.10/site-packages (from oss2~=2.17.0->openxlab->opendatalab->openmim) (2.16.2)\n",
+ "Requirement already satisfied: cryptography>=2.6.0 in /usr/local/lib/python3.10/site-packages (from aliyun-python-sdk-core>=2.13.12->oss2~=2.17.0->openxlab->opendatalab->openmim) (40.0.1)\n",
+ "Requirement already satisfied: jmespath<1.0.0,>=0.9.3 in /usr/local/lib/python3.10/site-packages (from aliyun-python-sdk-core>=2.13.12->oss2~=2.17.0->openxlab->opendatalab->openmim) (0.10.0)\n",
+ "Requirement already satisfied: cffi>=1.12 in /usr/local/lib/python3.10/site-packages (from cryptography>=2.6.0->aliyun-python-sdk-core>=2.13.12->oss2~=2.17.0->openxlab->opendatalab->openmim) (1.15.1)\n",
+ "Requirement already satisfied: pycparser in /usr/local/lib/python3.10/site-packages (from cffi>=1.12->cryptography>=2.6.0->aliyun-python-sdk-core>=2.13.12->oss2~=2.17.0->openxlab->opendatalab->openmim) (2.21)\n",
+ "\u001b[33mWARNING: Running pip as the 'root' user can result in broken permissions and conflicting behaviour with the system package manager. It is recommended to use a virtual environment instead: https://pip.pypa.io/warnings/venv\u001b[0m\u001b[33m\n",
+ "\u001b[0mFound existing installation: mmcv-full 1.5.3\n",
+ "Uninstalling mmcv-full-1.5.3:\n",
+ " Successfully uninstalled mmcv-full-1.5.3\n",
+ "\u001b[33mWARNING: Running pip as the 'root' user can result in broken permissions and conflicting behaviour with the system package manager. It is recommended to use a virtual environment instead: https://pip.pypa.io/warnings/venv\u001b[0m\u001b[33m\n",
+ "\u001b[0mLooking in links: https://download.openmmlab.com/mmcv/dist/cu116/torch1.12.0/index.html\n",
+ "Collecting mmcv-full==1.5.3\n",
+ " Using cached mmcv_full-1.5.3-cp310-cp310-linux_x86_64.whl\n",
+ "Requirement already satisfied: numpy in /usr/local/lib/python3.10/site-packages (from mmcv-full==1.5.3) (1.24.4)\n",
+ "Requirement already satisfied: Pillow in /usr/local/lib/python3.10/site-packages (from mmcv-full==1.5.3) (10.2.0)\n",
+ "Requirement already satisfied: pyyaml in /usr/local/lib/python3.10/site-packages (from mmcv-full==1.5.3) (6.0.1)\n",
+ "Requirement already satisfied: yapf in /usr/local/lib/python3.10/site-packages (from mmcv-full==1.5.3) (0.40.2)\n",
+ "Requirement already satisfied: opencv-python>=3 in /usr/local/lib/python3.10/site-packages (from mmcv-full==1.5.3) (4.9.0.80)\n",
+ "Requirement already satisfied: addict in /usr/local/lib/python3.10/site-packages (from mmcv-full==1.5.3) (2.4.0)\n",
+ "Requirement already satisfied: packaging in /usr/local/lib/python3.10/site-packages (from mmcv-full==1.5.3) (23.2)\n",
+ "Requirement already satisfied: tomli>=2.0.1 in /usr/local/lib/python3.10/site-packages (from yapf->mmcv-full==1.5.3) (2.0.1)\n",
+ "Requirement already satisfied: importlib-metadata>=6.6.0 in /usr/local/lib/python3.10/site-packages (from yapf->mmcv-full==1.5.3) (7.0.1)\n",
+ "Requirement already satisfied: platformdirs>=3.5.1 in /usr/local/lib/python3.10/site-packages (from yapf->mmcv-full==1.5.3) (4.2.0)\n",
+ "Requirement already satisfied: zipp>=0.5 in /usr/local/lib/python3.10/site-packages (from importlib-metadata>=6.6.0->yapf->mmcv-full==1.5.3) (3.17.0)\n",
+ "Installing collected packages: mmcv-full\n",
+ "Successfully installed mmcv-full-1.5.3\n",
+ "\u001b[33mWARNING: Running pip as the 'root' user can result in broken permissions and conflicting behaviour with the system package manager. It is recommended to use a virtual environment instead: https://pip.pypa.io/warnings/venv\u001b[0m\u001b[33m\n",
+ "\u001b[0mFound existing installation: mmsegmentation 0.27.0\n",
+ "Uninstalling mmsegmentation-0.27.0:\n",
+ " Successfully uninstalled mmsegmentation-0.27.0\n",
+ "\u001b[33mWARNING: Running pip as the 'root' user can result in broken permissions and conflicting behaviour with the system package manager. It is recommended to use a virtual environment instead: https://pip.pypa.io/warnings/venv\u001b[0m\u001b[33m\n",
+ "\u001b[0mLooking in links: https://download.openmmlab.com/mmcv/dist/cu116/torch1.12.0/index.html\n",
+ "Collecting mmsegmentation==0.27.0\n",
+ " Using cached mmsegmentation-0.27.0-py3-none-any.whl (817 kB)\n",
+ "Requirement already satisfied: prettytable in /usr/local/lib/python3.10/site-packages (from mmsegmentation==0.27.0) (3.9.0)\n",
+ "Requirement already satisfied: mmcls>=0.20.1 in /usr/local/lib/python3.10/site-packages (from mmsegmentation==0.27.0) (0.25.0)\n",
+ "Requirement already satisfied: numpy in /usr/local/lib/python3.10/site-packages (from mmsegmentation==0.27.0) (1.24.4)\n",
+ "Requirement already satisfied: matplotlib in /usr/local/lib/python3.10/site-packages (from mmsegmentation==0.27.0) (3.8.2)\n",
+ "Requirement already satisfied: packaging in /usr/local/lib/python3.10/site-packages (from mmsegmentation==0.27.0) (23.2)\n",
+ "Requirement already satisfied: mmcv-full<1.7.0,>=1.4.4 in /usr/local/lib/python3.10/site-packages (from mmsegmentation==0.27.0) (1.5.3)\n",
+ "Requirement already satisfied: fonttools>=4.22.0 in /usr/local/lib/python3.10/site-packages (from matplotlib->mmsegmentation==0.27.0) (4.47.2)\n",
+ "Requirement already satisfied: pillow>=8 in /usr/local/lib/python3.10/site-packages (from matplotlib->mmsegmentation==0.27.0) (10.2.0)\n",
+ "Requirement already satisfied: pyparsing>=2.3.1 in /usr/local/lib/python3.10/site-packages (from matplotlib->mmsegmentation==0.27.0) (3.1.1)\n",
+ "Requirement already satisfied: kiwisolver>=1.3.1 in /usr/local/lib/python3.10/site-packages (from matplotlib->mmsegmentation==0.27.0) (1.4.5)\n",
+ "Requirement already satisfied: python-dateutil>=2.7 in /usr/local/lib/python3.10/site-packages (from matplotlib->mmsegmentation==0.27.0) (2.8.2)\n",
+ "Requirement already satisfied: contourpy>=1.0.1 in /usr/local/lib/python3.10/site-packages (from matplotlib->mmsegmentation==0.27.0) (1.2.0)\n",
+ "Requirement already satisfied: cycler>=0.10 in /usr/local/lib/python3.10/site-packages (from matplotlib->mmsegmentation==0.27.0) (0.12.1)\n",
+ "Requirement already satisfied: yapf in /usr/local/lib/python3.10/site-packages (from mmcv-full<1.7.0,>=1.4.4->mmsegmentation==0.27.0) (0.40.2)\n",
+ "Requirement already satisfied: opencv-python>=3 in /usr/local/lib/python3.10/site-packages (from mmcv-full<1.7.0,>=1.4.4->mmsegmentation==0.27.0) (4.9.0.80)\n",
+ "Requirement already satisfied: addict in /usr/local/lib/python3.10/site-packages (from mmcv-full<1.7.0,>=1.4.4->mmsegmentation==0.27.0) (2.4.0)\n",
+ "Requirement already satisfied: pyyaml in /usr/local/lib/python3.10/site-packages (from mmcv-full<1.7.0,>=1.4.4->mmsegmentation==0.27.0) (6.0.1)\n",
+ "Requirement already satisfied: wcwidth in /usr/local/lib/python3.10/site-packages (from prettytable->mmsegmentation==0.27.0) (0.2.13)\n",
+ "Requirement already satisfied: six>=1.5 in /usr/local/lib/python3.10/site-packages (from python-dateutil>=2.7->matplotlib->mmsegmentation==0.27.0) (1.16.0)\n",
+ "Requirement already satisfied: tomli>=2.0.1 in /usr/local/lib/python3.10/site-packages (from yapf->mmcv-full<1.7.0,>=1.4.4->mmsegmentation==0.27.0) (2.0.1)\n",
+ "Requirement already satisfied: importlib-metadata>=6.6.0 in /usr/local/lib/python3.10/site-packages (from yapf->mmcv-full<1.7.0,>=1.4.4->mmsegmentation==0.27.0) (7.0.1)\n",
+ "Requirement already satisfied: platformdirs>=3.5.1 in /usr/local/lib/python3.10/site-packages (from yapf->mmcv-full<1.7.0,>=1.4.4->mmsegmentation==0.27.0) (4.2.0)\n",
+ "Requirement already satisfied: zipp>=0.5 in /usr/local/lib/python3.10/site-packages (from importlib-metadata>=6.6.0->yapf->mmcv-full<1.7.0,>=1.4.4->mmsegmentation==0.27.0) (3.17.0)\n",
+ "Installing collected packages: mmsegmentation\n",
+ "Successfully installed mmsegmentation-0.27.0\n",
+ "\u001b[33mWARNING: Running pip as the 'root' user can result in broken permissions and conflicting behaviour with the system package manager. It is recommended to use a virtual environment instead: https://pip.pypa.io/warnings/venv\u001b[0m\u001b[33m\n",
+ "\u001b[0m"
+ ]
+ }
+ ],
+ "source": [
+ "! pip uninstall -y torch torchvision\n",
+ "! pip install torch==1.12.1 torchvision cuml-cu11 --extra-index-url https://download.pytorch.org/whl/cu116 --extra-index-url https://pypi.nvidia.com\n",
+ "! pip install omegaconf torchmetrics==0.10.3 fvcore iopath xformers==0.0.12 submitit\n",
+ "\n",
+ "! pip install openmim\n",
+ "! mim uninstall -y mmcv-full\n",
+ "! mim install mmcv-full==1.5.3\n",
+ "! pip uninstall -y mmsegmentation\n",
+ "! mim install mmsegmentation==0.27.0\n"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "source": [
+ "import os\n",
+ "import sys\n",
+ "\n",
+ "current_directory = os.getcwd()\n",
+ "REPO_PATH = f\"{current_directory}/dinov2\"\n",
+ "\n",
+ "! git clone https://github.com/facebookresearch/dinov2.git\n",
+ "%cd {REPO_PATH}\n",
+ "! git checkout 2302b6b\n",
+ "%cd {current_directory}\n",
+ "! pwd\n",
+ "\n",
+ "sys.path.append(REPO_PATH)\n"
+ ],
+ "metadata": {
+ "id": "ZUK7MxJYL42D",
+ "outputId": "b42a085a-1d95-4142-c4d3-4b08c82b7a92",
+ "colab": {
+ "base_uri": "https://localhost:8080/"
+ }
+ },
+ "id": "ZUK7MxJYL42D",
+ "execution_count": 5,
+ "outputs": [
+ {
+ "output_type": "stream",
+ "name": "stdout",
+ "text": [
+ "fatal: destination path 'dinov2' already exists and is not an empty directory.\n",
+ "/content/dinov2\n",
+ "HEAD is now at 2302b6b Update vision_transformer.py (#331)\n",
+ "/content\n",
+ "/content\n"
+ ]
+ }
+ ]
+ },
+ {
+ "cell_type": "code",
+ "source": [
+ "import torch\n",
+ "import torchvision\n",
+ "import mmcv\n",
+ "import xformers\n",
+ "import mmseg\n",
+ "print(torch.__version__)\n",
+ "print(torch.version.cuda)\n",
+ "print(mmcv.__version__)\n",
+ "print(xformers.__version__)\n",
+ "print(mmseg.__version__)"
+ ],
+ "metadata": {
+ "colab": {
+ "base_uri": "https://localhost:8080/"
+ },
+ "id": "J-JJ4yJOy20B",
+ "outputId": "908189a4-59fc-497d-fb5c-29ac38b34184"
+ },
+ "id": "J-JJ4yJOy20B",
+ "execution_count": 6,
+ "outputs": [
+ {
+ "output_type": "stream",
+ "name": "stdout",
+ "text": [
+ "1.12.1+cu116\n",
+ "11.6\n",
+ "1.5.3\n",
+ "0.0.12\n",
+ "0.27.0\n"
+ ]
+ }
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "efdf378b-0591-4879-9db6-6a4ab582d49f",
+ "metadata": {
+ "id": "efdf378b-0591-4879-9db6-6a4ab582d49f"
+ },
+ "source": [
+ "## Utilities"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 7,
+ "id": "90223c04-e7da-4738-bb16-d4f7025aa3eb",
+ "metadata": {
+ "id": "90223c04-e7da-4738-bb16-d4f7025aa3eb"
+ },
+ "outputs": [],
+ "source": [
+ "import math\n",
+ "import itertools\n",
+ "from functools import partial\n",
+ "\n",
+ "import torch\n",
+ "import torch.nn.functional as F\n",
+ "from mmseg.apis import init_segmentor, inference_segmentor\n",
+ "\n",
+ "import dinov2.eval.segmentation.models\n",
+ "\n",
+ "\n",
+ "class CenterPadding(torch.nn.Module):\n",
+ " def __init__(self, multiple):\n",
+ " super().__init__()\n",
+ " self.multiple = multiple\n",
+ "\n",
+ " def _get_pad(self, size):\n",
+ " new_size = math.ceil(size / self.multiple) * self.multiple\n",
+ " pad_size = new_size - size\n",
+ " pad_size_left = pad_size // 2\n",
+ " pad_size_right = pad_size - pad_size_left\n",
+ " return pad_size_left, pad_size_right\n",
+ "\n",
+ " @torch.inference_mode()\n",
+ " def forward(self, x):\n",
+ " pads = list(itertools.chain.from_iterable(self._get_pad(m) for m in x.shape[:1:-1]))\n",
+ " output = F.pad(x, pads)\n",
+ " return output\n",
+ "\n",
+ "\n",
+ "def create_segmenter(cfg, backbone_model):\n",
+ " model = init_segmentor(cfg)\n",
+ " model.backbone.forward = partial(\n",
+ " backbone_model.get_intermediate_layers,\n",
+ " n=cfg.model.backbone.out_indices,\n",
+ " reshape=True,\n",
+ " )\n",
+ " if hasattr(backbone_model, \"patch_size\"):\n",
+ " model.backbone.register_forward_pre_hook(lambda _, x: CenterPadding(backbone_model.patch_size)(x[0]))\n",
+ " model.init_weights()\n",
+ " return model"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "a5724efc-b2b8-46ed-94e1-7fee59a39ed9",
+ "metadata": {
+ "id": "a5724efc-b2b8-46ed-94e1-7fee59a39ed9"
+ },
+ "source": [
+ "## Load pretrained backbone"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 27,
+ "id": "2d51b932-1157-45ce-997f-572ad417a12f",
+ "metadata": {
+ "id": "2d51b932-1157-45ce-997f-572ad417a12f",
+ "outputId": "dd4496bd-0fdd-40e4-aae0-cfc3a1ea1f9e",
+ "colab": {
+ "base_uri": "https://localhost:8080/"
+ }
+ },
+ "outputs": [
+ {
+ "output_type": "stream",
+ "name": "stderr",
+ "text": [
+ "Using cache found in /root/.cache/torch/hub/facebookresearch_dinov2_main\n"
+ ]
+ },
+ {
+ "output_type": "execute_result",
+ "data": {
+ "text/plain": [
+ "DinoVisionTransformer(\n",
+ " (patch_embed): PatchEmbed(\n",
+ " (proj): Conv2d(3, 768, kernel_size=(14, 14), stride=(14, 14))\n",
+ " (norm): Identity()\n",
+ " )\n",
+ " (blocks): ModuleList(\n",
+ " (0): NestedTensorBlock(\n",
+ " (norm1): LayerNorm((768,), eps=1e-06, elementwise_affine=True)\n",
+ " (attn): MemEffAttention(\n",
+ " (qkv): Linear(in_features=768, out_features=2304, bias=True)\n",
+ " (attn_drop): Dropout(p=0.0, inplace=False)\n",
+ " (proj): Linear(in_features=768, out_features=768, bias=True)\n",
+ " (proj_drop): Dropout(p=0.0, inplace=False)\n",
+ " )\n",
+ " (ls1): LayerScale()\n",
+ " (drop_path1): Identity()\n",
+ " (norm2): LayerNorm((768,), eps=1e-06, elementwise_affine=True)\n",
+ " (mlp): Mlp(\n",
+ " (fc1): Linear(in_features=768, out_features=3072, bias=True)\n",
+ " (act): GELU(approximate=none)\n",
+ " (fc2): Linear(in_features=3072, out_features=768, bias=True)\n",
+ " (drop): Dropout(p=0.0, inplace=False)\n",
+ " )\n",
+ " (ls2): LayerScale()\n",
+ " (drop_path2): Identity()\n",
+ " )\n",
+ " (1): NestedTensorBlock(\n",
+ " (norm1): LayerNorm((768,), eps=1e-06, elementwise_affine=True)\n",
+ " (attn): MemEffAttention(\n",
+ " (qkv): Linear(in_features=768, out_features=2304, bias=True)\n",
+ " (attn_drop): Dropout(p=0.0, inplace=False)\n",
+ " (proj): Linear(in_features=768, out_features=768, bias=True)\n",
+ " (proj_drop): Dropout(p=0.0, inplace=False)\n",
+ " )\n",
+ " (ls1): LayerScale()\n",
+ " (drop_path1): Identity()\n",
+ " (norm2): LayerNorm((768,), eps=1e-06, elementwise_affine=True)\n",
+ " (mlp): Mlp(\n",
+ " (fc1): Linear(in_features=768, out_features=3072, bias=True)\n",
+ " (act): GELU(approximate=none)\n",
+ " (fc2): Linear(in_features=3072, out_features=768, bias=True)\n",
+ " (drop): Dropout(p=0.0, inplace=False)\n",
+ " )\n",
+ " (ls2): LayerScale()\n",
+ " (drop_path2): Identity()\n",
+ " )\n",
+ " (2): NestedTensorBlock(\n",
+ " (norm1): LayerNorm((768,), eps=1e-06, elementwise_affine=True)\n",
+ " (attn): MemEffAttention(\n",
+ " (qkv): Linear(in_features=768, out_features=2304, bias=True)\n",
+ " (attn_drop): Dropout(p=0.0, inplace=False)\n",
+ " (proj): Linear(in_features=768, out_features=768, bias=True)\n",
+ " (proj_drop): Dropout(p=0.0, inplace=False)\n",
+ " )\n",
+ " (ls1): LayerScale()\n",
+ " (drop_path1): Identity()\n",
+ " (norm2): LayerNorm((768,), eps=1e-06, elementwise_affine=True)\n",
+ " (mlp): Mlp(\n",
+ " (fc1): Linear(in_features=768, out_features=3072, bias=True)\n",
+ " (act): GELU(approximate=none)\n",
+ " (fc2): Linear(in_features=3072, out_features=768, bias=True)\n",
+ " (drop): Dropout(p=0.0, inplace=False)\n",
+ " )\n",
+ " (ls2): LayerScale()\n",
+ " (drop_path2): Identity()\n",
+ " )\n",
+ " (3): NestedTensorBlock(\n",
+ " (norm1): LayerNorm((768,), eps=1e-06, elementwise_affine=True)\n",
+ " (attn): MemEffAttention(\n",
+ " (qkv): Linear(in_features=768, out_features=2304, bias=True)\n",
+ " (attn_drop): Dropout(p=0.0, inplace=False)\n",
+ " (proj): Linear(in_features=768, out_features=768, bias=True)\n",
+ " (proj_drop): Dropout(p=0.0, inplace=False)\n",
+ " )\n",
+ " (ls1): LayerScale()\n",
+ " (drop_path1): Identity()\n",
+ " (norm2): LayerNorm((768,), eps=1e-06, elementwise_affine=True)\n",
+ " (mlp): Mlp(\n",
+ " (fc1): Linear(in_features=768, out_features=3072, bias=True)\n",
+ " (act): GELU(approximate=none)\n",
+ " (fc2): Linear(in_features=3072, out_features=768, bias=True)\n",
+ " (drop): Dropout(p=0.0, inplace=False)\n",
+ " )\n",
+ " (ls2): LayerScale()\n",
+ " (drop_path2): Identity()\n",
+ " )\n",
+ " (4): NestedTensorBlock(\n",
+ " (norm1): LayerNorm((768,), eps=1e-06, elementwise_affine=True)\n",
+ " (attn): MemEffAttention(\n",
+ " (qkv): Linear(in_features=768, out_features=2304, bias=True)\n",
+ " (attn_drop): Dropout(p=0.0, inplace=False)\n",
+ " (proj): Linear(in_features=768, out_features=768, bias=True)\n",
+ " (proj_drop): Dropout(p=0.0, inplace=False)\n",
+ " )\n",
+ " (ls1): LayerScale()\n",
+ " (drop_path1): Identity()\n",
+ " (norm2): LayerNorm((768,), eps=1e-06, elementwise_affine=True)\n",
+ " (mlp): Mlp(\n",
+ " (fc1): Linear(in_features=768, out_features=3072, bias=True)\n",
+ " (act): GELU(approximate=none)\n",
+ " (fc2): Linear(in_features=3072, out_features=768, bias=True)\n",
+ " (drop): Dropout(p=0.0, inplace=False)\n",
+ " )\n",
+ " (ls2): LayerScale()\n",
+ " (drop_path2): Identity()\n",
+ " )\n",
+ " (5): NestedTensorBlock(\n",
+ " (norm1): LayerNorm((768,), eps=1e-06, elementwise_affine=True)\n",
+ " (attn): MemEffAttention(\n",
+ " (qkv): Linear(in_features=768, out_features=2304, bias=True)\n",
+ " (attn_drop): Dropout(p=0.0, inplace=False)\n",
+ " (proj): Linear(in_features=768, out_features=768, bias=True)\n",
+ " (proj_drop): Dropout(p=0.0, inplace=False)\n",
+ " )\n",
+ " (ls1): LayerScale()\n",
+ " (drop_path1): Identity()\n",
+ " (norm2): LayerNorm((768,), eps=1e-06, elementwise_affine=True)\n",
+ " (mlp): Mlp(\n",
+ " (fc1): Linear(in_features=768, out_features=3072, bias=True)\n",
+ " (act): GELU(approximate=none)\n",
+ " (fc2): Linear(in_features=3072, out_features=768, bias=True)\n",
+ " (drop): Dropout(p=0.0, inplace=False)\n",
+ " )\n",
+ " (ls2): LayerScale()\n",
+ " (drop_path2): Identity()\n",
+ " )\n",
+ " (6): NestedTensorBlock(\n",
+ " (norm1): LayerNorm((768,), eps=1e-06, elementwise_affine=True)\n",
+ " (attn): MemEffAttention(\n",
+ " (qkv): Linear(in_features=768, out_features=2304, bias=True)\n",
+ " (attn_drop): Dropout(p=0.0, inplace=False)\n",
+ " (proj): Linear(in_features=768, out_features=768, bias=True)\n",
+ " (proj_drop): Dropout(p=0.0, inplace=False)\n",
+ " )\n",
+ " (ls1): LayerScale()\n",
+ " (drop_path1): Identity()\n",
+ " (norm2): LayerNorm((768,), eps=1e-06, elementwise_affine=True)\n",
+ " (mlp): Mlp(\n",
+ " (fc1): Linear(in_features=768, out_features=3072, bias=True)\n",
+ " (act): GELU(approximate=none)\n",
+ " (fc2): Linear(in_features=3072, out_features=768, bias=True)\n",
+ " (drop): Dropout(p=0.0, inplace=False)\n",
+ " )\n",
+ " (ls2): LayerScale()\n",
+ " (drop_path2): Identity()\n",
+ " )\n",
+ " (7): NestedTensorBlock(\n",
+ " (norm1): LayerNorm((768,), eps=1e-06, elementwise_affine=True)\n",
+ " (attn): MemEffAttention(\n",
+ " (qkv): Linear(in_features=768, out_features=2304, bias=True)\n",
+ " (attn_drop): Dropout(p=0.0, inplace=False)\n",
+ " (proj): Linear(in_features=768, out_features=768, bias=True)\n",
+ " (proj_drop): Dropout(p=0.0, inplace=False)\n",
+ " )\n",
+ " (ls1): LayerScale()\n",
+ " (drop_path1): Identity()\n",
+ " (norm2): LayerNorm((768,), eps=1e-06, elementwise_affine=True)\n",
+ " (mlp): Mlp(\n",
+ " (fc1): Linear(in_features=768, out_features=3072, bias=True)\n",
+ " (act): GELU(approximate=none)\n",
+ " (fc2): Linear(in_features=3072, out_features=768, bias=True)\n",
+ " (drop): Dropout(p=0.0, inplace=False)\n",
+ " )\n",
+ " (ls2): LayerScale()\n",
+ " (drop_path2): Identity()\n",
+ " )\n",
+ " (8): NestedTensorBlock(\n",
+ " (norm1): LayerNorm((768,), eps=1e-06, elementwise_affine=True)\n",
+ " (attn): MemEffAttention(\n",
+ " (qkv): Linear(in_features=768, out_features=2304, bias=True)\n",
+ " (attn_drop): Dropout(p=0.0, inplace=False)\n",
+ " (proj): Linear(in_features=768, out_features=768, bias=True)\n",
+ " (proj_drop): Dropout(p=0.0, inplace=False)\n",
+ " )\n",
+ " (ls1): LayerScale()\n",
+ " (drop_path1): Identity()\n",
+ " (norm2): LayerNorm((768,), eps=1e-06, elementwise_affine=True)\n",
+ " (mlp): Mlp(\n",
+ " (fc1): Linear(in_features=768, out_features=3072, bias=True)\n",
+ " (act): GELU(approximate=none)\n",
+ " (fc2): Linear(in_features=3072, out_features=768, bias=True)\n",
+ " (drop): Dropout(p=0.0, inplace=False)\n",
+ " )\n",
+ " (ls2): LayerScale()\n",
+ " (drop_path2): Identity()\n",
+ " )\n",
+ " (9): NestedTensorBlock(\n",
+ " (norm1): LayerNorm((768,), eps=1e-06, elementwise_affine=True)\n",
+ " (attn): MemEffAttention(\n",
+ " (qkv): Linear(in_features=768, out_features=2304, bias=True)\n",
+ " (attn_drop): Dropout(p=0.0, inplace=False)\n",
+ " (proj): Linear(in_features=768, out_features=768, bias=True)\n",
+ " (proj_drop): Dropout(p=0.0, inplace=False)\n",
+ " )\n",
+ " (ls1): LayerScale()\n",
+ " (drop_path1): Identity()\n",
+ " (norm2): LayerNorm((768,), eps=1e-06, elementwise_affine=True)\n",
+ " (mlp): Mlp(\n",
+ " (fc1): Linear(in_features=768, out_features=3072, bias=True)\n",
+ " (act): GELU(approximate=none)\n",
+ " (fc2): Linear(in_features=3072, out_features=768, bias=True)\n",
+ " (drop): Dropout(p=0.0, inplace=False)\n",
+ " )\n",
+ " (ls2): LayerScale()\n",
+ " (drop_path2): Identity()\n",
+ " )\n",
+ " (10): NestedTensorBlock(\n",
+ " (norm1): LayerNorm((768,), eps=1e-06, elementwise_affine=True)\n",
+ " (attn): MemEffAttention(\n",
+ " (qkv): Linear(in_features=768, out_features=2304, bias=True)\n",
+ " (attn_drop): Dropout(p=0.0, inplace=False)\n",
+ " (proj): Linear(in_features=768, out_features=768, bias=True)\n",
+ " (proj_drop): Dropout(p=0.0, inplace=False)\n",
+ " )\n",
+ " (ls1): LayerScale()\n",
+ " (drop_path1): Identity()\n",
+ " (norm2): LayerNorm((768,), eps=1e-06, elementwise_affine=True)\n",
+ " (mlp): Mlp(\n",
+ " (fc1): Linear(in_features=768, out_features=3072, bias=True)\n",
+ " (act): GELU(approximate=none)\n",
+ " (fc2): Linear(in_features=3072, out_features=768, bias=True)\n",
+ " (drop): Dropout(p=0.0, inplace=False)\n",
+ " )\n",
+ " (ls2): LayerScale()\n",
+ " (drop_path2): Identity()\n",
+ " )\n",
+ " (11): NestedTensorBlock(\n",
+ " (norm1): LayerNorm((768,), eps=1e-06, elementwise_affine=True)\n",
+ " (attn): MemEffAttention(\n",
+ " (qkv): Linear(in_features=768, out_features=2304, bias=True)\n",
+ " (attn_drop): Dropout(p=0.0, inplace=False)\n",
+ " (proj): Linear(in_features=768, out_features=768, bias=True)\n",
+ " (proj_drop): Dropout(p=0.0, inplace=False)\n",
+ " )\n",
+ " (ls1): LayerScale()\n",
+ " (drop_path1): Identity()\n",
+ " (norm2): LayerNorm((768,), eps=1e-06, elementwise_affine=True)\n",
+ " (mlp): Mlp(\n",
+ " (fc1): Linear(in_features=768, out_features=3072, bias=True)\n",
+ " (act): GELU(approximate=none)\n",
+ " (fc2): Linear(in_features=3072, out_features=768, bias=True)\n",
+ " (drop): Dropout(p=0.0, inplace=False)\n",
+ " )\n",
+ " (ls2): LayerScale()\n",
+ " (drop_path2): Identity()\n",
+ " )\n",
+ " )\n",
+ " (norm): LayerNorm((768,), eps=1e-06, elementwise_affine=True)\n",
+ " (head): Identity()\n",
+ ")"
+ ]
+ },
+ "metadata": {},
+ "execution_count": 27
+ }
+ ],
+ "source": [
+ "BACKBONE_SIZE = \"base\" # in (\"small\", \"base\", \"large\" or \"giant\")\n",
+ "\n",
+ "\n",
+ "backbone_archs = {\n",
+ " \"small\": \"vits14\",\n",
+ " \"base\": \"vitb14\",\n",
+ " \"large\": \"vitl14\",\n",
+ " \"giant\": \"vitg14\",\n",
+ "}\n",
+ "backbone_arch = backbone_archs[BACKBONE_SIZE]\n",
+ "backbone_name = f\"dinov2_{backbone_arch}\"\n",
+ "\n",
+ "backbone_model = torch.hub.load(repo_or_dir=\"facebookresearch/dinov2\", model=backbone_name)\n",
+ "backbone_model.eval()\n",
+ "backbone_model.cuda()"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "c1c90501-d6ef-436e-b1a1-72e63b0534e3",
+ "metadata": {
+ "id": "c1c90501-d6ef-436e-b1a1-72e63b0534e3"
+ },
+ "source": [
+ "## Load pretrained segmentation head"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 30,
+ "id": "d0bf0b7f-ad98-4cfb-8120-f076df8f8933",
+ "metadata": {
+ "id": "d0bf0b7f-ad98-4cfb-8120-f076df8f8933",
+ "outputId": "8df6a018-4b1d-4115-f193-80a84e72e1bf",
+ "colab": {
+ "base_uri": "https://localhost:8080/"
+ }
+ },
+ "outputs": [
+ {
+ "output_type": "stream",
+ "name": "stderr",
+ "text": [
+ "/usr/local/lib/python3.10/site-packages/mmseg/models/losses/cross_entropy_loss.py:235: UserWarning: Default ``avg_non_ignore`` is False, if you would like to ignore the certain label and average loss over non-ignore labels, which is the same with PyTorch official cross_entropy, set ``avg_non_ignore=True``.\n",
+ " warnings.warn(\n",
+ "2024-02-03 20:27:46,947 - mmcv - INFO - initialize BNHead with init_cfg {'type': 'Normal', 'std': 0.01, 'override': {'name': 'conv_seg'}}\n",
+ "2024-02-03 20:27:46,956 - mmcv - INFO - \n",
+ "decode_head.conv_seg.weight - torch.Size([21, 3072, 1, 1]): \n",
+ "NormalInit: mean=0, std=0.01, bias=0 \n",
+ " \n",
+ "2024-02-03 20:27:46,964 - mmcv - INFO - \n",
+ "decode_head.conv_seg.bias - torch.Size([21]): \n",
+ "NormalInit: mean=0, std=0.01, bias=0 \n",
+ " \n",
+ "2024-02-03 20:27:46,966 - mmcv - INFO - \n",
+ "decode_head.bn.weight - torch.Size([3072]): \n",
+ "The value is the same before and after calling `init_weights` of EncoderDecoder \n",
+ " \n",
+ "2024-02-03 20:27:46,966 - mmcv - INFO - \n",
+ "decode_head.bn.bias - torch.Size([3072]): \n",
+ "The value is the same before and after calling `init_weights` of EncoderDecoder \n",
+ " \n"
+ ]
+ },
+ {
+ "output_type": "stream",
+ "name": "stdout",
+ "text": [
+ "scales: [1.0, 1.32, 1.73]\n",
+ "load checkpoint from http path: https://dl.fbaipublicfiles.com/dinov2/dinov2_vitb14/dinov2_vitb14_voc2012_ms_head.pth\n"
+ ]
+ },
+ {
+ "output_type": "execute_result",
+ "data": {
+ "text/plain": [
+ "EncoderDecoder(\n",
+ " (backbone): DinoVisionTransformer()\n",
+ " (decode_head): BNHead(\n",
+ " input_transform=resize_concat, ignore_index=255, align_corners=False\n",
+ " (loss_decode): CrossEntropyLoss(avg_non_ignore=False)\n",
+ " (conv_seg): Conv2d(3072, 21, kernel_size=(1, 1), stride=(1, 1))\n",
+ " (bn): SyncBatchNorm(3072, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
+ " )\n",
+ " init_cfg={'type': 'Normal', 'std': 0.01, 'override': {'name': 'conv_seg'}}\n",
+ ")"
+ ]
+ },
+ "metadata": {},
+ "execution_count": 30
+ }
+ ],
+ "source": [
+ "import urllib\n",
+ "\n",
+ "import mmcv\n",
+ "from mmcv.runner import load_checkpoint\n",
+ "\n",
+ "\n",
+ "def load_config_from_url(url: str) -> str:\n",
+ " with urllib.request.urlopen(url) as f:\n",
+ " return f.read().decode()\n",
+ "\n",
+ "\n",
+ "HEAD_SCALE_COUNT = 3 # more scales: slower but better results, in (1,2,3,4,5)\n",
+ "HEAD_DATASET = \"voc2012\" # in (\"ade20k\", \"voc2012\")\n",
+ "HEAD_TYPE = \"ms\" # in (\"ms, \"linear\")\n",
+ "\n",
+ "\n",
+ "DINOV2_BASE_URL = \"https://dl.fbaipublicfiles.com/dinov2\"\n",
+ "head_config_url = f\"{DINOV2_BASE_URL}/{backbone_name}/{backbone_name}_{HEAD_DATASET}_{HEAD_TYPE}_config.py\"\n",
+ "head_checkpoint_url = f\"{DINOV2_BASE_URL}/{backbone_name}/{backbone_name}_{HEAD_DATASET}_{HEAD_TYPE}_head.pth\"\n",
+ "\n",
+ "cfg_str = load_config_from_url(head_config_url)\n",
+ "cfg = mmcv.Config.fromstring(cfg_str, file_format=\".py\")\n",
+ "if HEAD_TYPE == \"ms\":\n",
+ " cfg.data.test.pipeline[1][\"img_ratios\"] = cfg.data.test.pipeline[1][\"img_ratios\"][:HEAD_SCALE_COUNT]\n",
+ " print(\"scales:\", cfg.data.test.pipeline[1][\"img_ratios\"])\n",
+ "\n",
+ "model = create_segmenter(cfg, backbone_model=backbone_model)\n",
+ "load_checkpoint(model, head_checkpoint_url, map_location=\"cpu\")\n",
+ "model.cuda()\n",
+ "model.eval()"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "2dc1b106-d28c-41cc-9ddd-f558d66a4715",
+ "metadata": {
+ "id": "2dc1b106-d28c-41cc-9ddd-f558d66a4715"
+ },
+ "source": [
+ "## Load sample image"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 34,
+ "id": "44511634-8243-4662-a512-4531014adb32",
+ "metadata": {
+ "id": "44511634-8243-4662-a512-4531014adb32",
+ "outputId": "bf1bd142-bf19-4922-b61d-3f3b966686e4",
+ "colab": {
+ "base_uri": "https://localhost:8080/",
+ "height": 497
+ }
+ },
+ "outputs": [
+ {
+ "output_type": "display_data",
+ "data": {
+ "text/plain": [
+ ""
+ ],
+ "image/png": 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\n"
+ },
+ "metadata": {}
+ }
+ ],
+ "source": [
+ "import urllib\n",
+ "\n",
+ "from PIL import Image\n",
+ "\n",
+ "\n",
+ "def load_image_from_url(url: str) -> Image:\n",
+ " with urllib.request.urlopen(url) as f:\n",
+ " return Image.open(f).convert(\"RGB\")\n",
+ "\n",
+ "\n",
+ "EXAMPLE_IMAGE_URL = \"https://dl.fbaipublicfiles.com/dinov2/images/example.jpg\"\n",
+ "\n",
+ "image = load_image_from_url(EXAMPLE_IMAGE_URL)\n",
+ "\n",
+ "display(image)"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "7e3240cb-54d0-438d-99e8-8c1af534f830",
+ "metadata": {
+ "id": "7e3240cb-54d0-438d-99e8-8c1af534f830"
+ },
+ "source": [
+ "## Semantic segmentation on sample image"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 35,
+ "id": "49226d5b-83fc-4cfb-ba06-407bb2c0d96f",
+ "metadata": {
+ "id": "49226d5b-83fc-4cfb-ba06-407bb2c0d96f",
+ "outputId": "b2ea99d6-1fac-48fe-b7d8-323be6b9cee0",
+ "colab": {
+ "base_uri": "https://localhost:8080/",
+ "height": 497
+ }
+ },
+ "outputs": [
+ {
+ "output_type": "display_data",
+ "data": {
+ "text/plain": [
+ ""
+ ],
+ "image/png": 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\n"
+ },
+ "metadata": {}
+ }
+ ],
+ "source": [
+ "import numpy as np\n",
+ "\n",
+ "import dinov2.eval.segmentation.utils.colormaps as colormaps\n",
+ "\n",
+ "\n",
+ "DATASET_COLORMAPS = {\n",
+ " \"ade20k\": colormaps.ADE20K_COLORMAP,\n",
+ " \"voc2012\": colormaps.VOC2012_COLORMAP,\n",
+ "}\n",
+ "\n",
+ "\n",
+ "def render_segmentation(segmentation_logits, dataset):\n",
+ " colormap = DATASET_COLORMAPS[dataset]\n",
+ " colormap_array = np.array(colormap, dtype=np.uint8)\n",
+ " segmentation_values = colormap_array[segmentation_logits + 1]\n",
+ " return Image.fromarray(segmentation_values)\n",
+ "\n",
+ "\n",
+ "array = np.array(image)[:, :, ::-1] # BGR\n",
+ "segmentation_logits = inference_segmentor(model, array)[0]\n",
+ "segmented_image = render_segmentation(segmentation_logits, HEAD_DATASET)\n",
+ "display(segmented_image)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "source": [
+ "print(segmentation_logits.shape)"
+ ],
+ "metadata": {
+ "id": "1WTg5zGPkjpO",
+ "outputId": "e84415b7-c7c5-4349-9859-4d190630147c",
+ "colab": {
+ "base_uri": "https://localhost:8080/"
+ }
+ },
+ "id": "1WTg5zGPkjpO",
+ "execution_count": 36,
+ "outputs": [
+ {
+ "output_type": "stream",
+ "name": "stdout",
+ "text": [
+ "(480, 640)\n"
+ ]
+ }
+ ]
+ },
+ {
+ "cell_type": "code",
+ "source": [],
+ "metadata": {
+ "id": "WqBcBeKwpHDM"
+ },
+ "id": "WqBcBeKwpHDM",
+ "execution_count": null,
+ "outputs": []
+ }
+ ],
+ "metadata": {
+ "kernelspec": {
+ "display_name": "Python3.10 (dinov2)",
+ "language": "python",
+ "name": "dinov2"
+ },
+ "language_info": {
+ "codemirror_mode": {
+ "name": "ipython",
+ "version": 3
+ },
+ "file_extension": ".py",
+ "mimetype": "text/x-python",
+ "name": "python",
+ "nbconvert_exporter": "python",
+ "pygments_lexer": "ipython3",
+ "version": "3.10.13"
+ },
+ "colab": {
+ "provenance": [],
+ "gpuType": "T4"
+ },
+ "accelerator": "GPU"
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}
\ No newline at end of file