50 lines
1.6 KiB
TOML
50 lines
1.6 KiB
TOML
[tool.poetry]
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name = "Trajectron-plus-plus"
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version = "0.1.0"
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description = "Predict trajectories for anomaly detection"
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authors = ["Ruben van de Ven <git@rubenvandeven.com>"]
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readme = "README.md"
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[tool.poetry.dependencies]
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python = "^3.9,<3.12"
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numpy = "^1.24.3"
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opencv-python = "^4.7.0.72"
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ipykernel = "^6.22.0"
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torch = [
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{ version="1.12.1" },
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# { url = "https://download.pytorch.org/whl/cu113/torch-1.12.1%2Bcu113-cp38-cp38-linux_x86_64.whl", markers = "python_version ~= '3.8' and sys_platform == 'linux'" },
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{ url = "https://download.pytorch.org/whl/cu113/torch-1.12.1%2Bcu113-cp310-cp310-linux_x86_64.whl", markers = "python_version ~= '3.10' and sys_platform == 'linux'" },
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]
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#torchvision = [
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# { version="0.13.1" },
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# { url = "https://download.pytorch.org/whl/cu113/torchvision-0.13.1%2Bcu113-cp38-cp38-linux_x86_64.whl", markers = "python_version ~= '3.8' and sys_platform == 'linux'" },
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# { url = "https://download.pytorch.org/whl/cu113/torchvision-0.13.1%2Bcu113-cp310-cp310-linux_x86_64.whl", markers = "python_version ~= '3.10' and sys_platform == 'linux'" },
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#]
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#av = "^10.0.0"
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matplotlib = "^3.5"
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#numba = "^0.57.0"
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#scikit-image = "^0.20.0"
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#scikit-learn = "0.22.1"
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#filterpy = "^1.4.5"
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tqdm = "^4.65.0"
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#ipywidgets = "^8.0.6"
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#deep-sort-realtime = "^1.3.2"
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scipy = "^1.11.3"
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pandas = "^2.1.1"
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orjson = "^3.9.7"
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nuscenes-devkit = "^1.1.11"
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pyquaternion = "^0.9.9"
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dill = "^0.3.7"
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ncls = "^0.0.68"
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notebook = "^7.0.4"
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scikit-learn = "^1.3.1"
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seaborn = "^0.13.0"
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setuptools = "^68.2.2"
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tensorboard = "1.14"
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tensorboardx = "^2.6.2.2"
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[build-system]
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requires = ["poetry-core"]
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build-backend = "poetry.core.masonry.api"
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