Loose numpy version (#30)
* disable using pip extra requirement installation * loose numpy * waymo * waymo version * add numpy hint * restore * Add to note * add hint
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@@ -13,13 +13,13 @@ For any dataset, this step is necessary after installing ScenarioNet,
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as we need to use the official toolkits of the data provider to parse the original scenario description and convert to our internal scenario description.
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For Waymo data, please install the toolkit via::
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pip install waymo-open-dataset-tf-2-11-0==1.5.0
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# Or install with scenarionet
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pip install -e .[waymo]
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pip install waymo-open-dataset-tf-2-11-0
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pip install tensorflow==2.11.0
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.. note::
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This package is only supported on Linux platform.
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`waymo-open-dataset` may degrade numpy, causing conflicts with cv2.
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A workaround is ``pip install numpy==1.24.2``
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For other datasets like nuPlan and nuScenes, you need to setup `nuplan-devkit <https://github.com/motional/nuplan-devkit>`_ and `nuscenes-devkit <https://github.com/nutonomy/nuscenes-devkit>`_ respectively.
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Guidance on how to setup these datasets and connect them with ScenarioNet can be found at :ref:`datasets`.
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@@ -67,26 +67,8 @@ For ScenarioNet, we only provide Github installation::
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git clone git@github.com:metadriverse/scenarionet.git
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cd scenarionet
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Anyone of the following commands will automatically install basic requirements with additional requirements
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for specific datasets::
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# Install basic requirement only
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pip install -e .
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# Install Waymo official toolkit
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pip install -e .[waymo]
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# Install nuScenes development tookit
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pip install -e .[nuscenes]
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# Install nuPlan development tookit
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pip install -e .[nuplan]
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# Install all toolkit for all datasets
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pip install -e .[all]
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.. note::
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If you don't wanna access the source code, you can install these two packages with
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``pip install git+https://github.com/metadriverse/scenarionet.git``
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@@ -30,9 +30,6 @@ First of all, we have to install the ``nuplan-devkit``.
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# 2. or install from PyPI
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pip install nuplan-devkit
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# 3. or install with scenarionet
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pip install -e .[nuplan]
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By installing from github, you can access examples and source code the toolkit.
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The examples are useful to verify whether the installation and dataset setup is correct or not.
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@@ -34,9 +34,6 @@ First of all, we have to install the ``nuscenes-devkit``.
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# or install from PyPI
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pip install nuscenes-devkit
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# or install with scenarionet
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pip install -e .[nuscenes]
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By installing from github, you can access examples and source code the toolkit.
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The examples are useful to verify whether the installation and dataset setup is correct or not.
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@@ -34,11 +34,10 @@ First of all, we have to install the waymo toolkit and tensorflow::
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pip install waymo-open-dataset-tf-2-11-0
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pip install tensorflow==2.11.0
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# Or install with scenarionet
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pip install -e .[waymo]
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.. note::
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This package is only supported on Linux platform.
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`waymo-open-dataset` may degrade numpy, causing conflicts with cv2.
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A workaround is ``pip install numpy==1.24.2``
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2. Download TFRecord
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~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
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@@ -21,7 +21,7 @@ except ImportError as e:
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try:
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from waymo_open_dataset.protos import scenario_pb2
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except ImportError as e:
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logger.warning(e, "\n Please install waymo_open_dataset package: pip install waymo-open-dataset-tf-2-11-0==1.5.0")
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logger.warning(e, "\n Please install waymo_open_dataset package: pip install waymo-open-dataset-tf-2-11-0")
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from metadrive.scenario import ScenarioDescription as SD
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from metadrive.type import MetaDriveType
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@@ -469,7 +469,7 @@ def read_from_files(arg):
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try:
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scenario_pb2
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except NameError:
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raise ImportError("Please install waymo_open_dataset package: pip install waymo-open-dataset-tf-2-11-0==1.5.0")
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raise ImportError("Please install waymo_open_dataset package: pip install waymo-open-dataset-tf-2-11-0")
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waymo_data_directory, file_list = arg[0], arg[1]
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scenarios = []
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for file in tqdm.tqdm(file_list):
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37
setup.py
37
setup.py
@@ -30,7 +30,7 @@ print("We will install the following packages: ", packages)
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version = "0.0.1"
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install_requires = [
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"numpy>=1.21.6, <=1.24.2",
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"numpy>=1.21.6",
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"matplotlib",
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"pandas",
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"tqdm",
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@@ -55,19 +55,20 @@ train_requirement = [
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"tensorflow",
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"tensorflow_probability"]
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waymo = ["waymo-open-dataset-tf-2-11-0", "tensorflow==2.11.0"]
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nuplan = ["nuplan-devkit>=1.2.0",
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"bokeh==2.4",
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"hydra-core",
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"chardet",
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"pyarrow",
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"aiofiles",
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"retry",
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"boto3",
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"aioboto3"]
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nuscenes = ["nuscenes-devkit>=1.1.10"]
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# Disable this kind of installation
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# waymo = ["waymo-open-dataset-tf-2-11-0", "tensorflow==2.11.0"]
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#
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# nuplan = ["nuplan-devkit>=1.2.0",
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# "bokeh==2.4",
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# "hydra-core",
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# "chardet",
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# "pyarrow",
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# "aiofiles",
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# "retry",
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# "boto3",
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# "aioboto3"]
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#
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# nuscenes = ["nuscenes-devkit>=1.1.10"]
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setup(
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name="scenarionet",
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@@ -82,10 +83,10 @@ setup(
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extras_require={
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"train": train_requirement,
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"doc": doc,
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"waymo": waymo,
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"nuplan": nuplan,
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"nuscenes": nuscenes,
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"all": nuscenes + waymo + nuplan
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# "waymo": waymo,
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# "nuplan": nuplan,
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# "nuscenes": nuscenes,
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# "all": nuscenes + waymo + nuplan
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},
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include_package_data=True,
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license="Apache 2.0",
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