Deeplite Torch Zoo

=======================================================================
Software under third_party
=======================================================================
Software libraries under third_party are provided as github submodule
links, and their content is not part of the "Deeplite Torch Zoo" codebase. Their
licences can be found under the respective software repositories.


================================ CLASSIFICATION ================================

AUGMENTATION

    This product includes software from the AutoAugment project
        * https://github.com/DeepVoltaire/AutoAugment
        * Copyright (c) 2018 Philip Popien
        * MIT License

    This product includes software from the Cutout project
        * https://github.com/uoguelph-mlrg/Cutout
        * Educational Community License, Version 2.0 (ECL-2.0)

    This product includes software from the robustness project
        * https://github.com/hendrycks/robustness/blob/master/LICENSE
        * Apache License v2.0


CIFAR100

    This product includes software from the pytorch-cifar project
        * https://github.com/kuangliu/pytorch-cifar
        * Copyright (c) 2017 liukuang
        * MIT License

Imagenet

    This product includes software from the ml-mobileone project
        * https://github.com/apple/ml-mobileone
        * Copyright (C) 2022 Apple Inc.

MNIST

    This product includes software from the ----- project
        *
        *

MobileNet

    This product includes software from the mobilenetv3.pytorch project
        * https://github.com/d-li14/mobilenetv3.pytorch
        * Copyright (c) 2019 Duo LI
        * MIT License


====================================== DETECTION ========================================

YOLOV3

    This product includes software from the Yolov3 project
        * https://github.com/ultralytics/yolov3
        * Copyright (c) 2007 Free Software Foundation, Inc.
        * GNU General Public License v3.0


YOLOV5

    This product includes software from the Yolov5 project
        * https://github.com/ultralytics/yolov5
        * Copyright (c) 2007 Free Software Foundation, Inc.
        * GNU General Public License v3.0

    This product includes software from the yoloair project
        * https://github.com/iscyy/yoloair
        * Copyright (c) 2007 Free Software Foundation, Inc.
        * GNU General Public License v3.0


Flexible-YOLOV5

    This product includes software from the flexible-yolov5 project
        * https://github.com/Bobo-y/flexible-yolov5/blob/v2/LICENSE
        * Copyright (c) Free Software Foundation, Inc.
        * GNU General Public License v3.0

DNN Blocks

    This product includes software from the yolov7 project
        * https://github.com/WongKinYiu/yolov7
        * Copyright (c) Free Software Foundation, Inc.
        * GNU General Public License v3.0

    This product includes software from the yolor project
        * https://github.com/WongKinYiu/yolor
        * Copyright (c) Free Software Foundation, Inc.
        * GNU General Public License v3.0

    This product includes software from the  pytorch-image-models project
        * https://github.com/huggingface/pytorch-image-models
        * Licensed under the Apache 2.0

    This product includes software from the --- project
        *
        * Copyright (c) 2018 Ryuichiro Hataya
        * MIT License

    This product includes software from the RepLKNet-pytorch project
        * https://github.com/DingXiaoH/RepLKNet-pytorch
        * Copyright (c) 2022 Xiaohan Ding
        * MIT License

    This product includes software from the imgclsmob project
        * https://github.com/osmr/imgclsmob
        * Copyright (c) 2018-2021 Oleg Sémery
        * MIT License

    This product includes software from the ml-mobileone project
        * https://github.com/apple/ml-mobileone
        * Copyright (C) 2022 Apple Inc.

    This product includes software from the efficientnetv2.pytorch project
        * https://github.com/d-li14/efficientnetv2.pytorch
        * Copyright (c) 2021 Duo Li
        * MIT License

    This product includes software from the efficientnetv2.pytorch project
        * https://github.com/huawei-noah/Efficient-AI-Backbones
        * Copyright (c) 2020. Huawei Technologies Co., Ltd.
        * Apache License v2.0

================================ SEGMENTATION ================================

UNet

    This product includes software from the Pytorch-UNet project
        * https://github.com/milesial/Pytorch-UNet
        * Copyright (c) 2007 Free Software Foundation, Inc.
        * GNU General Public License v3.0

FCN

    This product includes software from the pytorch-fcn project
        * https://github.com/wkentaro/pytorch-fcn
        * Copyright (C) 2017 - 2019 Kentaro Wada.
        * Licensed under the MIT License;

Deeplab

    This product includes software from the pytorch-deeplab-xception project
        * https://github.com/jfzhang95/pytorch-deeplab-xception
        * Copyright (c) 2018 Pyjcsx.
        * Licensed under the MIT License;

UNet_scse

    This product includes software from the pytorch-segmentation project
        * https://github.com/nyoki-mtl/pytorch-segmentation
        * Copyright (c) 2019 Hiroki Taniai.
        * Licensed under the MIT License;


============================================================================================
