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MLPY/Lib/site-packages/torchvision-0.18.1.dist-info/INSTALLER

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+pip

MLPY/Lib/site-packages/torchvision-0.18.1.dist-info/LICENSE

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+BSD 3-Clause License
+
+Copyright (c) Soumith Chintala 2016, 
+All rights reserved.
+
+Redistribution and use in source and binary forms, with or without
+modification, are permitted provided that the following conditions are met:
+
+* Redistributions of source code must retain the above copyright notice, this
+  list of conditions and the following disclaimer.
+
+* Redistributions in binary form must reproduce the above copyright notice,
+  this list of conditions and the following disclaimer in the documentation
+  and/or other materials provided with the distribution.
+
+* Neither the name of the copyright holder nor the names of its
+  contributors may be used to endorse or promote products derived from
+  this software without specific prior written permission.
+
+THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
+AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
+IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
+DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE
+FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL
+DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR
+SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER
+CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY,
+OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
+OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.

MLPY/Lib/site-packages/torchvision-0.18.1.dist-info/METADATA

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+Metadata-Version: 2.1
+Name: torchvision
+Version: 0.18.1
+Summary: image and video datasets and models for torch deep learning
+Home-page: https://github.com/pytorch/vision
+Author: PyTorch Core Team
+Author-email: [email protected]
+License: BSD
+Requires-Python: >=3.8
+Description-Content-Type: text/markdown
+License-File: LICENSE
+Requires-Dist: numpy
+Requires-Dist: torch (==2.3.1)
+Requires-Dist: pillow (!=8.3.*,>=5.3.0)
+Provides-Extra: scipy
+Requires-Dist: scipy ; extra == 'scipy'
+
+# torchvision
+
+[![total torchvision downloads](https://pepy.tech/badge/torchvision)](https://pepy.tech/project/torchvision)
+[![documentation](https://img.shields.io/badge/dynamic/json.svg?label=docs&url=https%3A%2F%2Fpypi.org%2Fpypi%2Ftorchvision%2Fjson&query=%24.info.version&colorB=brightgreen&prefix=v)](https://pytorch.org/vision/stable/index.html)
+
+The torchvision package consists of popular datasets, model architectures, and common image transformations for computer
+vision.
+
+## Installation
+
+Please refer to the [official
+instructions](https://pytorch.org/get-started/locally/) to install the stable
+versions of `torch` and `torchvision` on your system.
+
+To build source, refer to our [contributing
+page](https://github.com/pytorch/vision/blob/main/CONTRIBUTING.md#development-installation).
+
+The following is the corresponding `torchvision` versions and supported Python
+versions.
+
+| `torch`            | `torchvision`      | Python              |
+| ------------------ | ------------------ | ------------------- |
+| `main` / `nightly` | `main` / `nightly` | `>=3.8`, `<=3.11`   |
+| `2.2`              | `0.17`             | `>=3.8`, `<=3.11`   |
+| `2.1`              | `0.16`             | `>=3.8`, `<=3.11`   |
+| `2.0`              | `0.15`             | `>=3.8`, `<=3.11`   |
+
+<details>
+    <summary>older versions</summary>
+
+| `torch` | `torchvision`     | Python                    |
+|---------|-------------------|---------------------------|
+| `1.13`  | `0.14`            | `>=3.7.2`, `<=3.10`       |
+| `1.12`  | `0.13`            | `>=3.7`, `<=3.10`         |
+| `1.11`  | `0.12`            | `>=3.7`, `<=3.10`         |
+| `1.10`  | `0.11`            | `>=3.6`, `<=3.9`          |
+| `1.9`   | `0.10`            | `>=3.6`, `<=3.9`          |
+| `1.8`   | `0.9`             | `>=3.6`, `<=3.9`          |
+| `1.7`   | `0.8`             | `>=3.6`, `<=3.9`          |
+| `1.6`   | `0.7`             | `>=3.6`, `<=3.8`          |
+| `1.5`   | `0.6`             | `>=3.5`, `<=3.8`          |
+| `1.4`   | `0.5`             | `==2.7`, `>=3.5`, `<=3.8` |
+| `1.3`   | `0.4.2` / `0.4.3` | `==2.7`, `>=3.5`, `<=3.7` |
+| `1.2`   | `0.4.1`           | `==2.7`, `>=3.5`, `<=3.7` |
+| `1.1`   | `0.3`             | `==2.7`, `>=3.5`, `<=3.7` |
+| `<=1.0` | `0.2`             | `==2.7`, `>=3.5`, `<=3.7` |
+
+</details>
+
+## Image Backends
+
+Torchvision currently supports the following image backends:
+
+- torch tensors
+- PIL images:
+    - [Pillow](https://python-pillow.org/)
+    - [Pillow-SIMD](https://github.com/uploadcare/pillow-simd) - a **much faster** drop-in replacement for Pillow with SIMD.
+
+Read more in in our [docs](https://pytorch.org/vision/stable/transforms.html).
+
+## [UNSTABLE] Video Backend
+
+Torchvision currently supports the following video backends:
+
+- [pyav](https://github.com/PyAV-Org/PyAV) (default) - Pythonic binding for ffmpeg libraries.
+- video_reader - This needs ffmpeg to be installed and torchvision to be built from source. There shouldn't be any
+  conflicting version of ffmpeg installed. Currently, this is only supported on Linux.
+
+```
+conda install -c conda-forge 'ffmpeg<4.3'
+python setup.py install
+```
+
+# Using the models on C++
+
+TorchVision provides an example project for how to use the models on C++ using JIT Script.
+
+Installation From source:
+
+```
+mkdir build
+cd build
+# Add -DWITH_CUDA=on support for the CUDA if needed
+cmake ..
+make
+make install
+```
+
+Once installed, the library can be accessed in cmake (after properly configuring `CMAKE_PREFIX_PATH`) via the
+`TorchVision::TorchVision` target:
+
+```
+find_package(TorchVision REQUIRED)
+target_link_libraries(my-target PUBLIC TorchVision::TorchVision)
+```
+
+The `TorchVision` package will also automatically look for the `Torch` package and add it as a dependency to
+`my-target`, so make sure that it is also available to cmake via the `CMAKE_PREFIX_PATH`.
+
+For an example setup, take a look at `examples/cpp/hello_world`.
+
+Python linking is disabled by default when compiling TorchVision with CMake, this allows you to run models without any
+Python dependency. In some special cases where TorchVision's operators are used from Python code, you may need to link
+to Python. This can be done by passing `-DUSE_PYTHON=on` to CMake.
+
+### TorchVision Operators
+
+In order to get the torchvision operators registered with torch (eg. for the JIT), all you need to do is to ensure that
+you `#include <torchvision/vision.h>` in your project.
+
+## Documentation
+
+You can find the API documentation on the pytorch website: <https://pytorch.org/vision/stable/index.html>
+
+## Contributing
+
+See the [CONTRIBUTING](CONTRIBUTING.md) file for how to help out.
+
+## Disclaimer on Datasets
+
+This is a utility library that downloads and prepares public datasets. We do not host or distribute these datasets,
+vouch for their quality or fairness, or claim that you have license to use the dataset. It is your responsibility to
+determine whether you have permission to use the dataset under the dataset's license.
+
+If you're a dataset owner and wish to update any part of it (description, citation, etc.), or do not want your dataset
+to be included in this library, please get in touch through a GitHub issue. Thanks for your contribution to the ML
+community!
+
+## Pre-trained Model License
+
+The pre-trained models provided in this library may have their own licenses or terms and conditions derived from the
+dataset used for training. It is your responsibility to determine whether you have permission to use the models for your
+use case.
+
+More specifically, SWAG models are released under the CC-BY-NC 4.0 license. See
+[SWAG LICENSE](https://github.com/facebookresearch/SWAG/blob/main/LICENSE) for additional details.
+
+## Citing TorchVision
+
+If you find TorchVision useful in your work, please consider citing the following BibTeX entry:
+
+```bibtex
+@software{torchvision2016,
+    title        = {TorchVision: PyTorch's Computer Vision library},
+    author       = {TorchVision maintainers and contributors},
+    year         = 2016,
+    journal      = {GitHub repository},
+    publisher    = {GitHub},
+    howpublished = {\url{https://github.com/pytorch/vision}}
+}
+```

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