{"metadata":{"kernelspec":{"language":"python","display_name":"Python 3","name":"python3"},"language_info":{"pygments_lexer":"ipython3","nbconvert_exporter":"python","version":"3.6.4","file_extension":".py","codemirror_mode":{"name":"ipython","version":3},"name":"python","mimetype":"text/x-python"}},"nbformat_minor":4,"nbformat":4,"cells":[{"cell_type":"markdown","source":"# Data Augmentations (DA):\n\n**What is DA?**\n\n* DA is a set of techniques to increase amount of data used in training. These techniques varies from basic to advanced levels. \n* Some of the basic Vision DA's are rotaion, translation, blurring, brightness and contrast adjustments etc. \n* Then there are moderate level DA's such as Mixup, Cutout, CutMix, GridMask etc.\n* Advanced level DA techniques are FeatMatch, MomentExchange, and GAN's. These are much more complex and technical than rest of two DA's.\n* [Transforms](https://pytorch.org/vision/stable/transforms.html) and [albumentations\n](https://github.com/albumentations-team/albumentations) are two mostly used libraries for Vision DA's.\n\n**Why DA?**\n\n* **Data** lies at the center of the any Deep Learning Task. The more Qualitative data you have, more wiser and accurate your model will be.\n* But Collecting and labeling the huge data is an arduous task. It requires manual effort and can be costly and time consuming sometimes depending on the task.\n* Here **DA comes to the rescue**, DA is like the proper utilization of the Existing Data and making most out of it. A variety of studies have shown that DA can increase the model performance by a good margin.\n* In technical terms, **DA works as a Regularizer and prevents model overfitting**.\n\n## Goal\n\n1) Implement the following DA techniques from the Scratch in Pytorch: (**This Notebook**)\n\n* Cutout\n* Mixup\n* CutMix\n* AugMix\n* GridMask\n\n2) How to use these DA's during model training. (Train on [Cassava Leaf Disease Classification](https://www.kaggle.com/c/cassava-leaf-disease-classification))\n\n3) Analyze the Impact of these techniques on the Model Performance.","metadata":{"_uuid":"8f2839f25d086af736a60e9eeb907d3b93b6e0e5","_cell_guid":"b1076dfc-b9ad-4769-8c92-a6c4dae69d19"}},{"cell_type":"code","source":"# Import useful modules.\nimport numpy as np\nimport torch\nimport torch.nn as nn","metadata":{"execution":{"iopub.status.busy":"2022-08-18T09:25:51.016058Z","iopub.execute_input":"2022-08-18T09:25:51.016496Z","iopub.status.idle":"2022-08-18T09:25:52.853544Z","shell.execute_reply.started":"2022-08-18T09:25:51.016398Z","shell.execute_reply":"2022-08-18T09:25:52.852278Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"## 1. Cutout\n\n* Cutout randomly masks the square region of the input images during training.\n* According to the author, The size of the cutout region is more important hyperparameter than the shape. So for simplicity, the author uses squared region.\n* At the time of the implementation, it yielded state-of-the-art performance on CIFAR-10, 100, and SVHN Datasets.\n\n**References**\n* [Improved Regularization of Convolutional Neural Networks with Cutout](https://arxiv.org/abs/1708.04552)\n* [GitHub Cutout](https://github.com/uoguelph-mlrg/Cutout/blob/master/train.py)","metadata":{}},{"cell_type":"code","source":"class Cutout(object):\n    \n    '''Randomly masks out one or more patches from image.'''\n    '''\n    Inputs : \n    1) n_holes : # of holes to be cutout from images.\n    2) length : Dimension of the squared patches to be cutout.\n    3) margin_length : For random size Cutouts, Shape of the cutouts will\n                       be randomly chosen between [len - margin_length, len + margin_length]\n    '''\n    \n    def __init__(self,\n                 n_holes,\n                 length,\n                 margin_length = None,\n                ):\n        self.n_holes = n_holes\n        self.length = length\n        self.margin_length = margin_length\n        \n    def __call__(self, img):\n        \n        h = img.size(1)\n        w = img.size(2)\n        \n        mask = np.ones((h, w), np.float32)\n        \n        for n in range(self.n_holes):\n            y = np.random.randint(0, h)\n            x = np.random.randint(0, w)\n            \n            if self.margin_length is not None:\n                self.length += np.random.randint(-self.margin_length, self.margin_length)\n            \n            y1 = np.clip(y - self.length//2, 0, h)\n            x1 = np.clip(x - self.length//2, 0, w)\n            y2 = np.clip(y + self.length//2, 0, h)\n            x2 = np.clip(x + self.length//2, 0, w)\n            \n            mask[y1:y2, x1:x2] = 0.\n            \n        mask = torch.from_numpy(mask)\n        mask = mask.expand_as(img)\n        img = img * mask\n        \n        return img","metadata":{"execution":{"iopub.status.busy":"2022-08-18T09:25:52.855567Z","iopub.execute_input":"2022-08-18T09:25:52.856122Z","iopub.status.idle":"2022-08-18T09:25:52.867580Z","shell.execute_reply.started":"2022-08-18T09:25:52.856088Z","shell.execute_reply":"2022-08-18T09:25:52.866099Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"from PIL import Image\nfrom torchvision import transforms\n\n# Read Image\nimg = Image.open('../input/cassava-leaf-disease-classification/train_images/1000015157.jpg')\nimg = img.resize((360, 360))\nimg","metadata":{"execution":{"iopub.status.busy":"2022-08-18T09:25:53.268620Z","iopub.execute_input":"2022-08-18T09:25:53.269720Z","iopub.status.idle":"2022-08-18T09:25:53.662702Z","shell.execute_reply.started":"2022-08-18T09:25:53.269675Z","shell.execute_reply":"2022-08-18T09:25:53.661875Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"## Constant-Size Cutouts.\n\n# Convert Image to Tensor\nconvert_tensor = transforms.ToTensor()\ntensor_img = convert_tensor(img)\n\n# Perform Cutout\ncutout = Cutout(5, 50) # 5 holes each of size 50.\naug_img = cutout(tensor_img)\n\n# Convert the Tensor back to Image for visualization Purpose.\nconvert_img = transforms.ToPILImage()\naug_img = convert_img(aug_img)\naug_img","metadata":{"execution":{"iopub.status.busy":"2022-08-15T15:29:01.050547Z","iopub.execute_input":"2022-08-15T15:29:01.051247Z","iopub.status.idle":"2022-08-15T15:29:01.115065Z","shell.execute_reply.started":"2022-08-15T15:29:01.051205Z","shell.execute_reply":"2022-08-15T15:29:01.114067Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"## Random-Size Cutouts.\n\n# Convert Image to Tensor\nconvert_tensor = transforms.ToTensor()\ntensor_img = convert_tensor(img)\n\n# Perform Cutout\ncutout = Cutout(5, 50, 20) # 5 holes of the sizes between [30, 70]\naug_img = cutout(tensor_img)\n\n# Convert the Tensor back to Image for visualization Purpose.\nconvert_img = transforms.ToPILImage()\naug_img = convert_img(aug_img)\naug_img","metadata":{"execution":{"iopub.status.busy":"2022-08-15T15:29:16.577836Z","iopub.execute_input":"2022-08-15T15:29:16.578259Z","iopub.status.idle":"2022-08-15T15:29:16.635645Z","shell.execute_reply.started":"2022-08-15T15:29:16.578221Z","shell.execute_reply":"2022-08-15T15:29:16.634496Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"## 2. Mixup\n\n* Large Deep neural nets exhibits undesirable behaviours such as Memorization and Sensitivity to adversial examples.\n* Mixup reduces the memorization of the corrupt labels and increase the robustness to adversial examples.\n* Mixup is a simple technique, It basically takes linear combination of the inputs and outputs and feeds it to the network during training as follows:\n\n![mixup.png](attachment:6106818e-dce1-49d7-9b7f-56eefcb223b8.png)\n\n where $$\\lambda  \\in [0, 1], \\\\ \\lambda \\thicksim Beta(\\alpha, \\alpha)$$ \n\nAccording to the [paper](https://arxiv.org/abs/1710.09412), mixup improves the generalization of the SOTA models and improve the performance by a good margin.\n\n**References:**\n\n* [mixup: Beyond Empirical Risk Minimization](https://arxiv.org/abs/1710.09412)\n* [GitHub mixup](https://github.com/facebookresearch/mixup-cifar10)","metadata":{},"attachments":{"6106818e-dce1-49d7-9b7f-56eefcb223b8.png":{"image/png":"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EKSCZoR5cppX/TcnlFgXnvDHBa8Cwnh5F6AAk96Q7B28DHP8XLz1+RD0ZmdTF269F5+THzMZG4CCT0aQHVNyb1RSNnuwe5OCpqJLVrGM0Ut6ZiQoERhP/myTVgIPkXh6Pjb5DbIdVCeIiEbk2wI7/JtUw/HVXb8y7yAFb7ayJoeO6dMujKQ1K3ZpiDcqyXxpHLj9S8HBRezwEM6zGXhIt3qJVhTQ0KJ10aVi8sjhmbismw2bKTcm6LI9bjpWM0dCXiBj0jCR8v62nMcSwmXpb+q9FIr/GXLzw4xZnLG9SGpRWUdDaiBiDKlzIePQ50mORzBBXvB1uueBxdS2jPf5BHDQb0yRyKEhcN2xhrDJb1ESvNGj5vdk959zDvQXJOTPKAoJMXA+Tvwwgql1G4ym3qbztsKCinD4VfLKZ6VP+IXgYdgQx1GBkuOSJ5ioXrzB6gb0Jx2lTikpxiEADGpQfO5fHpDwVry8aVL7BZJB/arihAcf1CLFSUX2fFSZv7WnObDI9SqfrSPMgf8I9UeWPNnTTo8gDD1khrhysTWw+J6a6vuC03X0sh4RIVGvVhKbUxo6KewFYoISMfS4SCcDpe/qg/f82Phv37Sezd4W7LdaEG6Au/Zpw6aIznnjga7nwiXRjSycZGdTF269V5+SnXVo5cfyiU8nkQbL7AbaoMVj2y8kfH5RfyWrWMRryz3hhK+o4bsdkvMpl0bPwVBg2M+4Q5eU/mo9/g8bQ+4LEusHSi77YlCZJDqqbtWpouC7t8mhKg1K3ZvV60HOSChDV1Kc8GqCZN4C4Yy9jN+hVIXUNSitd6hZHsk8ON4UY3PFXJYYTMQR/39y8cOeD6CPU1I0kuvFgTnMmGm2kV3ShyNmThL6lvWRqUMpFQRG8+l8H1DMgQ6//yM8VftjcHU0bMhp1lnQ7/4yXKWQAcdqMD31b7Ufwt7i47xIeSwm90qAlCRevfcJ9Bck6McwMgsw9TpEXVCO54SNN0a68R1hOTVvrBGXvj45q1z1g0XDsuwamQ4/9IudT1eIh+fdWDnLx3h1f41WogTDvy6tnTx7L4lHE/E6G9rPOPCSuJXnyLCENX+6iiIpb/pYMdregD9SioYoatCQz5cVT2WWQx5MnL1IyldeODBQaTAZlF7yNIHavXV/Er6K6PitI3jeqn9eGaCUbB+ohhTcmYyMEDMsxEfnELbSVO+yK1iGEuo21f9Xog+D1asfG4jEHArmBnP8ssBXeMIvbWiQnzMMEgjjtPRcEymbxqv/Ek05iedS6xqQTrWRkoIW3vwZ16JxI0Zf7R5aP7cnDR/bsFpHVptxKVreOKysip1phKs583FXJrSgiis57Y2eAoypqZYLoyfLCeA01oHbWqqHuunTKI7qjMQ0qiQJrkvckEbfEIH9OuGPjeqgGXIVd0qtCyhqUXrqULV5ZcMEX7SWzu2xQ0vujbiTsUhC3uDX6fJbj2jc1ktWQBpWZjDB5Q2c8kS4b35IfXHre2xiVmw0kMo/8vTTOBi0Tplmbuy6/8L6IfgtQhd7tScKBfx52NUZ7IFJxpyxyGhq1yApApyh7F+LZvLl32FdB8a0p1tiw96BDMrsNtVY8wcs1XczZbJZsGGhsZxA/S8Nmm3derWyBA+7bkjMxilBJgyLZp30aG8ktg2zYbKPGXieJFKhD2WDVlF8Zi1aBrOFk/fTZuqT80Xw7tAklCaOKlys6WAxYsrAXGuoYDX0viFY4lcbMbtl85l1JDUY9kAtTNnRhox19yf6/HORrUFrJKKIuHEWbzyz5Gn1wgdfAodM2R7z+EYmPnFHVoOrWMZJ9dAg+y280+pwsyU6MBRlA3Ek3RBGXchinnjU47Yhvpw41cJp3k8gSje4TjfIQdzStQZVaU4EGxXLTDssNkzcbvaJpXcoalF661C3+LqgraiZ2dyXfdaFhJPQKyTrsiv21zFXftalBK4uuTWiESWVOL7LbIX+PDzWEIOPBwZKRD8mJWemMr05FgQx5g5ecfSsa9qWNXmpQ0SIFiOt7oWqABEP0frHsV+jinvjSt8EePK7z2jh8v05p9CweEzVdnz1fazhaHRVPA3PxFVHTrBjUD2nX7bl4GgYjUXYeGwftsydD+q/00WfrGuGbtY5o6yyW/khuxFjrZtMjCzKPDTVDu+bmI0J/I5VI3qWxTeyXk7cuYVAP5PynizCpi3YcKIzfy9egtJJRQF04iraeWfLuzLw+TRs5zQon4hUxe0tVg6pbx0gmto4N8wqZ56dVOQ3DahqxvIByGKeeNUK7SFOtCmloUBrlEd0RmZT8NKXI1XrUrKlIg8JpO/D8sdpjQ4A0rUtZg9JLl4bFcWswW8x/pPD5NIyEXgnfbXLCjd9JYmOriFrVoJWCDwdcLTH72Xqf+kIUCd+4xTTpvFLqHBKc4vf/zXNpLN5WAxnZee2NV+FT6fqoQatmiE6RtgeilviCWYLq0m/+75SHd6Mi6RN192FyFtl0FChNOTSiKaf5uPNVfYnyR/PRNxNiO2/9JO1pdIonzH175+zpiMfpUkttVEAT60Gxl11qbZcCdFiD0jIYCST35DCOAcf9hPTcJX2fhQtSH1wMP3Pt+XeJ9uOfAk7b3dsQW3fUY9snIZy6s3eD7lgHB8k974svnx908JsAFaQNZXxilnogFytdk+EnlS73VTQOSicZ+dTF268V50TyH63uwWUwm02+Vl0/NDWo2nVcdmUsvgKRYT3zroxGB/68oyfuNFXzkdRHxahnTViWn/O3BjlF4gxRd1065RHd0ZQGpW5NhRpUlD/IdMQp9IqmdamPg9JKl7rFsYMI0T9UOvFH3UjYVZroitFw4vUa9VW7GhSlOOVUgLMVG+I0Hzx785HQw+v8HHmdJ+x9ki23gHDOq9AFA3jYGn0s141Hnf6psDJkoI8aVOTq0moAycEbUjOvM1QOSBe82tTLhsu1oA+Xa+OykVgtRImS5APDbNgWvYMSyCPx/OfLsGkI1PGkV5NQLl55SvBE7yWht46Mb2HRc2syjSzJQgMaFP62rx9b8rgOReiqBqVrMBKikwFsZkVLl4iezyI5sRt9Ri8Mvh59YlIrC+f1L9XvYugn2DJFrLlkOa6JuzevVWOfc6IoUnxrKnYGH6fnlpube3AldyOJoBHI8057YguyIOM+uz/LMi2SExU4+4ToEfI1KK1k5FMXb782nFOQsKoDG5LeZyR6MmUNSrWOiauaIJnBg7Eliwas9v+T0YYTvkHaBEw9jGvG/Bg0XJd2eao06MjT6mhQGtZUpEH5Txeh+cPnObBLelVIWYPSS5e6xYsi/LBdkxC748p4iT8l4KeeDYlE2yvqRsIuiy+NwVLFyvVUuly1rkEr4ayoJUNcZ+8JCz28Z9fBsBtPPuXIaFmQnPunb5BcGSl6Gz7VAdvnBLFljAcoQR81aGG4h2HNFb5lkVMbM7BpUNIRYHVPSdJ+d2smu9WUq7+ksiVIXOOAtgY1d0tSLJ4gZYvH5PNZCOrDi1szOYOCMyn0HRWgAQ0qUpUc1xA0VxTQSQ2qgsFI8B/M4THZPbalSvsgHZ8VpoX4eu14g7XYyM9DAzloLJbdyvJz095+/qtDlVcL5F8eh61SYjZt29rCfulzcfWVP1qAza8xLa0aNZJaxChCPM3HdtkhFchFU2ikQA6n7++Pb41gWLqHSB6YjVL+6fjorhMuESOECjQonWTko8m3n6p/1IpzSiJ8L5qAZrVdSl5VXhE1DTtygmknoWXkV7LadYz8Pu2Fn6XIar/ipfT/Y31oDgRxugWliJ9LPYxrxvwYNFyXdnkECStxDcoZcpTqRjIZWo+ONRVoUFxsQwybSddFZ2PSq0LqGpRWutQtjmSLju4wgEydV8dJTUIjubHLXcecwgcFaRkJ+XXcXXRilM2EK1LTafhuA/Q31jMkBlRFExaow0iNyNLVoIKMi9N6eR3+rKQ60Qd+PzBsVKjkoLIwdWcvtJIlN9tTQh81aPn1CVxIargN+YNv1GJ1WKXCQf21RcmbvUOtmYyGA3cm1egCokbD1gVBNY46pFg8/qPAIcuxf+THLW3Lonzuh3w0oUHx4zHRzjHpKDEFlF8d3wAygLgTifX/dY9qBqsGX1DOaDItqkaBaPhs0c1Zw4OSRU8ovzPdmsHpt1/GTig4LWSoJROCzLqvfV6fh0lL7wfgJz5DZq6HScupBK9Xd8SCKZMnvRtJBBomu+HtstMmiW2elRX38QNuDDjDTuYSt5A/F8c0we6h3fgWnlujxXPbwtykCysH8Vr4na2q//ywEXjg482teRAejWTko7G3n4Z/aN45ayBMWodPXEJsh5UviHcLKf5wagweJBlNpt8hPVtBJatfxxUp2/s0QFNgNPY9V3WCGo7gbVB3DmTYMfBhtZ4ghvZqhPHis6MwVcNoMqMq4xoxPwYd16VbHvjzdnyqt7rrUPr9y68arkwmDztuDv0P0rpHOtas1qDSZzOVPF1sz2byxlyomr2lVYUy8iUPOunSsHhl6RO0BJheNGBwu04Pjk3HP16DlKTH7J/o2GzIoVSx+WgZqTBqhqjFYzUbc+ZrdU3C2df98QqGjN1PkHsQVWtIpba00ykK+tdJQc4mLLuJYUm/S5U4Kvx9/4CGriGS/owrXshocDCVsX4yerke9O/FMVYMtlN1hRej2qEJE0K7DjPv6oqeKU3a64bmiWMfcFtOjxNO24Vt8GW2mBdLzjTF4lUUFmI/l9yZYcvk9Nxe5e6qogkNWil4vqQNS87aa0ng0h/RixxFb86SB5k68LF0lQ1WTUX0rKZM05HhNU+yoeOzpYVFRNgXJPyvPQuVAbL6F6UXfbEJJrQpaSg6Xa++wo9f2Z6FCpIZdyRmD4UftzpzIFbN3Ugiim/641GH0dDvomj7vAj4696+ookx+xXxVf8J/4yYaCeKJljbb2LV0r59a5sGbAbDynVvUnXs5CcQe1iNBuyX4eNUk1GAxt5+Cf9Q/OEyzTtnTcofL8TH8AwgppXz+MUrA6cO79y655zNM/A2gGk9YO66ZZPmnsR2/CmuZPXrGP5xLcARrRum9dA9r8R7eeG/sSudzQ1b+YV+JBVYtFkLfRC7927yZkT+S+zofiyLriHVx7VpwPwY9FyXVnlQx3k4TyQUuT3nBp8N3z3bffSuFEkTS1L2NLAtXlSz4Ser2kUa1hS+24x/aofZdOTBxDxxHSL5icE+LY15I/a9lnirqVehzHzJhXK69CxeWfwiqLd4d7gBhCbMbcQ1Qnt+Jo4L7koMetMxEpJzZ35HPBMQs1G3CesOn7t04eTOhW4OLi4O+HiuAcO0WbehM0KJzb9F1ydh488GjEZjL4u+N4FDryjI76NDRImj5WByTLlWNryWbewduji7DHD3mx10LjGnKg1Ug/ZnM208j6dWa9iyV2u6cAzbL3pA7SOJJPRRg6J18PvuWjc7G6fJW4+f2LcmwNd7zuZ5vYwgyHz0WYmNnXVISYSvGcSwcjv4ntTVkALJvjSBx4IYDd2PSeyjpl48JO+inyVD6mBp1dCIBq0sj5ndjGnufY70KkgAZxwaxmvK4zW1bmxlZdVYBPaTNXaTN+IwvjCoLlDHYASC16s6sI1dQ2SuilDBZ/GzlVEZEC0rRiC591f2sjHj2jt3GbqFuFc/gdP29OW6bJf2TPh78GD0tsQaRpzSxNDAMc7WRMRBm3Enn/l77v+ChZ+vrJ85tJ05ETIgo+b9/LfdyyIMKfgetcHL3kL0aXLs16xG3fx3x4g33cBZ97bPHNHZqiqOGTfvN2Hh2uNxUusAlCRDAQ29/RL+oWxDsKadUwZI3tOt7s1xDYXaxLytx5rraaWVguQtPXCpDBm18j78Oo1SJatfx0hB8pmlw+y5bI51t5FTAgImDXOyaztw9tEXf6sqCsmLO7rYr6slqsQxGObt3GeuPv+OD3+P2jrL1Q4P7uijGVzHUQuPxIk/tKhm1lRzXUrlEQNnnPZtLnoAmoz7pody1wdUpJxbM8eXlJuGnUYF/C/k8R/0d1SsmUTMT/B/Ptg7yxXNHMQwtnHo4zp82ODurXhtBwUcjsuW0X9RWoVy8yWvICKUpquaxZHC5LB5/XnGok+2o/rNkDd46YUP4sUSJGgYqRLOfrx7fBfLqheBYdbGa8uj75fHNWA3bO82Y1P4w69FMNooxQavmu3tZEUUCmI16e47d+3Z5FJ6RRE9s+TtqVk9qra5SwNxWk2KIEas4e8H3Jp16N6plV1Xz4BVO4ODd/1vgnMzO9eVN79R6pBKop8aFKfi76cX9yPvPvv4pxwWfWfORPkZ4tqj7NuTmw8+y3BFCfg/X968FHHtZWaNKEKlePjaEQbX51wOgnr4p5QM6q1wDTSjQbGFei1ZluOUjLzoIuoaTDSHZj7shAIfpOezeWe8zBjK+lWChLUTtxI/11dK096iEa4GJalvPimzF03Kf7+Pi4mMepCQ+ludb9+qnYzm3n7cP95TyUQtOKcUSNnvD3H37sS+/oZPWooozngZHXk/MVPG6heFaMBUFX8+xT+8ezvqwfN3v0rlv7W00ZAX0YZieZCi9BfRkdHPPvxRNomtEJrWFBZlfkp89iDq9t2H8R+zlUWq2qrCWkoXLsx4/ehu1INXX3LKlTgSDafjo29kTOStOw9ff0MVJ/qUP6nvf8sfIlETYVb0Gk+fLQ8/Jj9/cPvKubBjwfv37tqxbUvQhlWBM337tjRlt1lCfKRcWFRQgmUIKfub9io28lb08w9Z+A1V0DsNipR+e3rtWkI22X+Q32GeFhCjkc9Z5YPyOg6t4sHp+/oZMptOj0QDsfDDVnf/K2ooP/jHgf4mMnbT0EX4LqibYUNfiVmkfwLsCBC2jf+NmkPAKvostfV2BecnT/qP+Bmg39TG24/7hwKhWKvOCQAA9AFB+tkJbayHHpG/o7swakabUZRP9KKBnmlQwet1nQ0hA4bEPpby12u7sCHTnltT1OrW6QA0i8ePmc1jNhhzubQSyb4202NdghrDoOjDU6/tj3ivVhI4SN7t6c3N+u6R3NNZ78FWklsMOlCz1Kr6LL6FleWwRvHX9wsvT/U59I24AOgztfL2i/xD7qtYu84JAAD0AOGHHb1MIcORpxUMYpVGzxm0nBgH1Sj6pUHhb3v7sg0MGA2HHK46hKDsTZCLKbPJsJBP+q5A6RevOG6DS5POEzet9h81/bgG5KOGQDJPj7JuFXBX3qLQeojw856+3M6rZegAVX0WTt/dm82wDahxhBsZYere0ZPP6f3oPwClNt5+Zf5Rq84JAAD0AXxtt4EBs7n/dTmLaiu+31gwZGyorF0QaqNn46Ald2ba914VKz5MAilKCvFuaWY3+lCihteF1Q0qFE9Y+P1dSlqOjsUC4ZfjI3gOS5/KOjWnHgKnHxtm22XZY5m9SBV9Fl9v10D+7i6U8rf7fMccVvtEBIBuoPG3n4J/1J5zAgAAPaH04YLW2L4myLDZgICtYbefJX/+9jPzR8bnlOfRFw+vn+7q0Hn0vgTxdn4No2/rQZHs+xt9h4yevW7b9o2LJw/t2ctraXhi/Vl6WH+Kh+REz+/SKQD7TkR9p/zdviH2w+UPG1E2Kpz/5e3XfFwyILnnfbjMBp7h8usP/ha+aPlNap8DAOgDmn37qflHLTknAADQI0rfhc3o3qjmpniI3djJd9X5t7WkPzH0bk8ShqDgx/uEhPeq78TSbepL8So+h43t5rYjsV4PhsJZN2b2GLjusTKpoNyogtdrOxlC5n4RaH0VPlnmaMztuy1RZ9ZXALREXbz9wDkBgH8epDj9ycXD29YtnTvdf2rAwpVBhy48eKv0BAO10UsNCtAXhJn3D4Q+Jy7qI3D69eDz7zSisoVJm53NLFyWnDy9fWqPtl0nh7yphT2IAIAqAOcEAAC1AdCgAICuUPojPjLi/KWohJ90D0sEAGoZ4JwAAEDjAA0KAAAAAAAAANA2QIMCAAAAAAAAALQN0KAAAAAAAAAAAG0DNCgAAAAAAAAAQNsADQoAAAAAAAAA0DZAgwIAAAAAAAAAtA3QoAAAAAAAAAAAbQM0KAAAAAAAAABA2wANCgAAAAAAAADQNkCDAgAAAAAAAAC0DdCgAAAAAAAAAABtAzQoAAAAAAAAAEDbAA0KAAAAAAAAANA2QIMCAAAAAAAAALQN0KAAAAAAAAAAAG0DNCgAAAAAAAAAQNsADQoAAAAAAAAA0DZAgwIAAAAAAAAAtA3QoAAAAAAAAAAAbQM0KAAAAAAAAABA2wANCgAAAAAAAADQNkCDAgAAAAAAAAC0DdCgAAAAAAAAAADtUln5f7HOiDmcCtMvAAAAAElFTkSuQmCC"}}},{"cell_type":"code","source":"class Mixup(object):\n    \n    '''alpha : Controls the mixup distribution, should be >= 0\n               For uniform Distribution of lambda, set alpha = 1\n    '''\n    def __init__(self, alpha=1.0):\n        self.alpha = alpha\n        \n    def __call__(self, batch, targets, use_cuda=False):\n        \n        # Sample lambda from Beta(alpha, alpha)\n        if self.alpha > 0:\n            lam = np.random.beta(self.alpha, self.alpha)\n        else:\n            lam = 1\n            \n        batch_size = batch.size()[0]\n        \n        if use_cuda:\n            index = torch.randperm(batch_size).cuda()\n        else:\n            index = torch.randperm(batch_size)\n            \n        mixed_x = lam * batch + (1 - lam) * batch[index, :] # Mixup\n        y_a, y_b = targets, targets[index]\n        \n        return mixed_x, y_a, y_b, lam","metadata":{"execution":{"iopub.status.busy":"2022-08-18T09:25:59.888246Z","iopub.execute_input":"2022-08-18T09:25:59.888655Z","iopub.status.idle":"2022-08-18T09:25:59.898019Z","shell.execute_reply.started":"2022-08-18T09:25:59.888622Z","shell.execute_reply":"2022-08-18T09:25:59.896774Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"from matplotlib import pyplot as plt\n\n# Helper Fxn for Visualization\ndef imshow(inp, title=None):\n    \"\"\"Imshow for Tensor.\"\"\"\n    inp = inp.numpy().transpose((1, 2, 0))\n    mean = np.array([0.485, 0.456, 0.406])\n    std = np.array([0.229, 0.224, 0.225])\n    inp = std * inp + mean\n    inp = np.clip(inp, 0, 1)\n    plt.figure(figsize = (12, 12))\n    plt.imshow(inp)\n    if title is not None:\n        plt.title(title)\n    plt.pause(0.001)  # pause a bit so that plots are updated","metadata":{"execution":{"iopub.status.busy":"2022-08-18T09:26:01.880948Z","iopub.execute_input":"2022-08-18T09:26:01.881796Z","iopub.status.idle":"2022-08-18T09:26:01.891269Z","shell.execute_reply.started":"2022-08-18T09:26:01.881743Z","shell.execute_reply":"2022-08-18T09:26:01.889645Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"from torch.utils.data import Dataset\nfrom torchvision import transforms, datasets\nfrom torch.utils.data import DataLoader \nimport torchvision\n\nTRAIN_DATA_PATH = \"../input/cat-and-dog//\"\n\nTRANSFORM_IMG = transforms.Compose([\n    transforms.Resize(256),\n    transforms.CenterCrop(256),\n    transforms.ToTensor(),\n    transforms.Normalize(mean=[0.485, 0.456, 0.406],\n                         std=[0.229, 0.224, 0.225] )\n    ])\n\ntrain_data = datasets.ImageFolder(root=TRAIN_DATA_PATH, transform=TRANSFORM_IMG)\ntrain_data_loader = DataLoader(train_data, batch_size=4, shuffle=True)","metadata":{"execution":{"iopub.status.busy":"2022-08-18T09:26:02.418102Z","iopub.execute_input":"2022-08-18T09:26:02.419154Z","iopub.status.idle":"2022-08-18T09:26:11.449145Z","shell.execute_reply.started":"2022-08-18T09:26:02.419113Z","shell.execute_reply":"2022-08-18T09:26:11.447907Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"batch, target = next(iter(train_data_loader))\n\n# Mixup\nmixup = Mixup(5)\nmixed_x, y_a, y_b, lam = mixup(batch, target)\ny_a, y_b","metadata":{"execution":{"iopub.status.busy":"2022-08-15T15:29:37.172820Z","iopub.execute_input":"2022-08-15T15:29:37.173230Z","iopub.status.idle":"2022-08-15T15:29:37.257214Z","shell.execute_reply.started":"2022-08-15T15:29:37.173200Z","shell.execute_reply":"2022-08-15T15:29:37.256215Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"out = torchvision.utils.make_grid(mixed_x)\nimshow(out)","metadata":{"execution":{"iopub.status.busy":"2022-08-15T15:29:38.734866Z","iopub.execute_input":"2022-08-15T15:29:38.736464Z","iopub.status.idle":"2022-08-15T15:29:39.188524Z","shell.execute_reply.started":"2022-08-15T15:29:38.736406Z","shell.execute_reply":"2022-08-15T15:29:39.187257Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"## 3. CutMix\n\n* Feature removal regularization techniques such as Dropout, Cutout, Random Erasing, etc have contributed in generalizing the model.\n* However they also leads to information loss and data inefficiency since a part of the input (or feature) is set to zero.\n* In order to tackle this issue, the author proposed [CutMix](https://arxiv.org/abs/1905.04899). CutMix randomly cuts the parts of the input and paste it to the another image, targets are also propotionaly mixed.\n* According to the Author, CutMix outperforms Cutout, Dropout, Mixup etc on Classification, Localization, and Detection tasks.\n\n\n\n![cutmix.png](attachment:44b940aa-68d6-4ecc-8510-f76a31e68bcf.png)\n\n**References:**\n\n* [CutMix: Regularization Strategy to Train Strong Classifiers with Localizable Features](https://arxiv.org/abs/1905.04899)\n* [GitHub CutMix](https://github.com/clovaai/CutMix-PyTorch/blob/master/train.py)","metadata":{},"attachments":{"44b940aa-68d6-4ecc-8510-f76a31e68bcf.png":{"image/png":"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"}}},{"cell_type":"code","source":"class CutMix(object):\n    \n    def __init__(self, alpha=1.0):\n        self.alpha = alpha\n        \n    def __call__(self, batch, targets, use_cuda=False):\n        \n        # Sample lambda from Beta(alpha, alpha)\n        if self.alpha > 0:\n            lam = np.random.beta(self.alpha, self.alpha)\n        else:\n            lam = 1\n            \n        batch_size = batch.size()[0]\n        \n        if use_cuda:\n            index = torch.randperm(batch_size).cuda()\n        else:\n            index = torch.randperm(batch_size)\n        \n        y_a, y_b = targets, targets[index]\n        \n        # Choose random bbox\n        bbx1, bby1, bbx2, bby2 = self._rand_bbox(batch.size(), lam)\n        \n        # CutMix\n        batch[:, :, bbx1:bbx2, bby1:bby2] = batch[index, :, bbx1:bbx2, bby1:bby2] #CutMix\n        \n        # adjust lambda to exactly match pixel ratio\n        lam = 1 - ((bbx2 - bbx1) * (bby2 - bby1) / (batch.size()[-1] * batch.size()[-2]))\n        \n        return batch, y_a, y_b, lam\n    \n    def _rand_bbox(self, size, lam):\n        \n        W = size[2]\n        H = size[3]\n        cut_rat = np.sqrt(1. - lam)\n        cut_w = (W * cut_rat).astype(int)\n        cut_h = (H * cut_rat).astype(int)\n\n        # uniform\n        cx = np.random.randint(W)\n        cy = np.random.randint(H)\n\n        bbx1 = np.clip(cx - cut_w // 2, 0, W)\n        bby1 = np.clip(cy - cut_h // 2, 0, H)\n        bbx2 = np.clip(cx + cut_w // 2, 0, W)\n        bby2 = np.clip(cy + cut_h // 2, 0, H)\n\n        return bbx1, bby1, bbx2, bby2","metadata":{"execution":{"iopub.status.busy":"2022-08-18T09:26:11.451040Z","iopub.execute_input":"2022-08-18T09:26:11.451468Z","iopub.status.idle":"2022-08-18T09:26:11.465202Z","shell.execute_reply.started":"2022-08-18T09:26:11.451426Z","shell.execute_reply":"2022-08-18T09:26:11.463922Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"batch, target = next(iter(train_data_loader))\n\n# Cutmix\ncutmix = CutMix(5)\ncutmixed_x, y_a, y_b, lam = cutmix(batch, target)\ny_a, y_b","metadata":{"execution":{"iopub.status.busy":"2022-08-15T15:30:10.231891Z","iopub.execute_input":"2022-08-15T15:30:10.232723Z","iopub.status.idle":"2022-08-15T15:30:10.300221Z","shell.execute_reply.started":"2022-08-15T15:30:10.232673Z","shell.execute_reply":"2022-08-15T15:30:10.298821Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"out = torchvision.utils.make_grid(cutmixed_x)\nimshow(out)","metadata":{"execution":{"iopub.status.busy":"2022-08-15T15:30:11.347156Z","iopub.execute_input":"2022-08-15T15:30:11.348034Z","iopub.status.idle":"2022-08-15T15:30:11.763747Z","shell.execute_reply.started":"2022-08-15T15:30:11.347985Z","shell.execute_reply":"2022-08-15T15:30:11.762494Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"## 4. AugMix\n\n* Deep neural networks performs well when the training and test data have identical Distributions.\n* However the accuracy gain drops drastically when test-set distribution shifts from training set. For ex. Imagenet-C (Corrupted Imagenet Dataset) \n* To tackle this issue, AugMix **randomly mixes variety of Data Augmentaions** in such a way that Model doesn't memorize any particular augmentation (or chain of augmentations).\n* The [author](https://arxiv.org/abs/1912.02781) also proposed **JSD (Jenson Shannon Divergence) loss** which impels model to be stable, consistent, and insensitive across diverse range of inputs.\n* AugMix outperforms all other DA techniques on Imagenet-C, CIFAR-C dataset by a large margin.\n\n![augmix.png](attachment:d2be75bb-7277-4a63-83e0-6a1418c9dff6.png)\n\n\n**References:**\n\n* [AugMix: A Simple Data Processing Method to Improve Robustness and Uncertainty](https://arxiv.org/abs/1912.02781)\n* [GitHub AugMix](https://github.com/google-research/augmix/blob/master/augmentations.py)\n","metadata":{},"attachments":{"d2be75bb-7277-4a63-83e0-6a1418c9dff6.png":{"image/png":"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"}}},{"cell_type":"code","source":"AUGMENTATIONS = [\n    transforms.RandomAutocontrast(p=1.0),\n    transforms.RandomEqualize(p=1.0),\n    transforms.RandomPosterize(bits=4, p=1.0),\n    transforms.RandomRotation(degrees=30,\n                              interpolation=transforms.InterpolationMode.BILINEAR),\n    transforms.RandomSolarize(threshold=128, p=1.0),\n    transforms.RandomAffine(degrees = 0,\n                            shear=(-0.3, 0.3, 0, 0)\n                           ), # Shear in X-Dir.\n    transforms.RandomAffine(degrees = 0,\n                            shear=(0, 0, -0.3, 0.3)\n                           ), # Shear in Y-Dir.\n    transforms.RandomAffine(degrees=0, \n                            translate=(0.34, 0),\n                            interpolation=transforms.InterpolationMode.BILINEAR\n                           ), # Translation in X-Dir.\n    transforms.RandomAffine(degrees=0,\n                            translate=(0, 0.34),\n                            interpolation=transforms.InterpolationMode.BILINEAR\n                           ), # Translation in Y-Dir.\n    transforms.ColorJitter(brightness=(0.75, 1.25)), # Brightness\n    transforms.ColorJitter(contrast=(0.75, 1.25)), # Contrast\n    transforms.ColorJitter(saturation=(0.75, 1.25)), # Saturation\n]\n\n#------------------------------------------------------------------\n\n# Preprocess\nmean = [0.485, 0.456, 0.406]\nstd = [0.229, 0.224, 0.225]\n\nPREPROCESS = transforms.Compose(\n    [transforms.Resize(224),\n     transforms.ToTensor(),\n     transforms.Normalize(mean, std)]\n)","metadata":{"execution":{"iopub.status.busy":"2022-08-18T10:47:51.787486Z","iopub.execute_input":"2022-08-18T10:47:51.787867Z","iopub.status.idle":"2022-08-18T10:47:51.799638Z","shell.execute_reply.started":"2022-08-18T10:47:51.787822Z","shell.execute_reply":"2022-08-18T10:47:51.798493Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"class AugMix(object):\n    \n    \"\"\"Perform AugMix augmentations and compute mixture.\n  Args:\n    width: Width of augmentation chain\n    depth: Depth of augmentation chain. -1 enables stochastic depth uniformly\n      from [1, 3]\n    alpha: Probability coefficient for Beta and Dirichlet distributions.\n  Returns:\n    mixed: Augmented and mixed image.\n  \"\"\"\n    \n    def __init__(self, \n                 width = 3,\n                 depth = -1, \n                 alpha = 1.0,\n                 preprocess = PREPROCESS\n                ):\n        self.width = width\n        self.depth = depth\n        self.alpha = alpha\n        self.preprocess = preprocess\n        \n    def __call__(self, img):\n        \n        ws = np.float32(np.random.dirichlet([self.alpha] * self.width))\n        m = np.float32(np.random.beta(self.alpha, self.width))\n        \n        mix = torch.zeros_like(self.preprocess(img))\n        \n        for i in range(self.width):\n            img_aug = img.copy()\n            depth = self.depth if self.depth > 0 else np.random.randint(1, 4)\n            for _ in range(depth):\n                op = np.random.choice(AUGMENTATIONS)\n                img_aug = op(img_aug)\n            mix += ws[i]* self.preprocess(img_aug)\n            \n        mixed = ((1-m) * self.preprocess(img)) + (m * mix)\n        \n        return mixed","metadata":{"execution":{"iopub.status.busy":"2022-08-18T06:46:42.981804Z","iopub.execute_input":"2022-08-18T06:46:42.982388Z","iopub.status.idle":"2022-08-18T06:46:42.993393Z","shell.execute_reply.started":"2022-08-18T06:46:42.982347Z","shell.execute_reply":"2022-08-18T06:46:42.991890Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"pil_img = Image.open('../input/cat-and-dog/training_set/training_set/dogs/dog.1.jpg')\npil_img","metadata":{"execution":{"iopub.status.busy":"2022-08-18T09:40:44.015417Z","iopub.execute_input":"2022-08-18T09:40:44.016470Z","iopub.status.idle":"2022-08-18T09:40:44.104394Z","shell.execute_reply.started":"2022-08-18T09:40:44.016435Z","shell.execute_reply":"2022-08-18T09:40:44.103305Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"# AugMix\naugmix = AugMix()\naugmixed_x = [augmix(pil_img) for _ in range(4)]\n\nout = torchvision.utils.make_grid(augmixed_x)\nimshow(out)","metadata":{"execution":{"iopub.status.busy":"2022-08-18T06:48:57.498231Z","iopub.execute_input":"2022-08-18T06:48:57.498974Z","iopub.status.idle":"2022-08-18T06:48:58.054806Z","shell.execute_reply.started":"2022-08-18T06:48:57.498929Z","shell.execute_reply":"2022-08-18T06:48:58.053523Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"## 5. GridMask\n\n* GridMask can be considered as a good balance between Cutout and HaS (Hide and Seek).\n* In Cutout, we randomly remove a big continous portion of the image. In HaS, we randomly remove multiple portions from the image.\n* Both of these cases may lead to Complete or No removal of the object from image. In both of these extreme cases, it doesn't add anything to model robustness.\n* Unlike Cutout and HaS, Gridmask removes **uniformaly distributed squared patches** from the images that has comparatively less probability of Complete or No removal of the object from the image.\n\n![gridmask.jpg](attachment:a10f844d-1a5c-4625-8ee9-8e046a853611.jpg)\n\n* According to the paper, GridMask has more probability of the success than Cutout and HaS.\n\n**References:**\n\n* [GridMask Data Augmentation](https://arxiv.org/abs/2001.04086)\n* [GitHub GridMask](https://github.com/dvlab-research/GridMask)","metadata":{},"attachments":{"a10f844d-1a5c-4625-8ee9-8e046a853611.jpg":{"image/jpeg":"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"}}},{"cell_type":"code","source":"class GridMask(object):\n    \n    '''Perform GridMask Data Augmentation.\n    Args:\n       num_grids : number of grids If -1 is given it will randomly \n                   select n between (2, 5).\n       grid_size : size of the each removed region. If -1 is given it will\n                   randomly select a squared region between [Image_shape//8, Image_shape//4]  \n    '''\n    def __init__(self,\n                num_grids = -1,\n                grid_size = -1,\n                #rotate = 2\n                ):\n        super(GridMask, self).__init__()\n        self.num_grids = num_grids\n        self.grid_size = grid_size\n        #self.rotate = rotate\n        \n    def __call__(self, img):\n        num_grids = self.num_grids if self.num_grids > 0 else np.random.randint(2, 5)\n        grid_size = self.grid_size if self.grid_size > 0 else np.random.randint(img.size()[-1]/8, img.size()[-1]/4)\n        \n        #print(num_grids, grid_size)\n        mask = np.ones((img.size()[-1], img.size()[-1]), np.float32)\n        \n        # Choose starting point.\n        start_x = np.random.randint(0, (img.size()[-1]-grid_size)//num_grids)\n        start_y = np.random.randint(0, (img.size()[-1]-grid_size)//num_grids)\n        temp = start_x\n        \n        for i in range(num_grids):\n            start_x = temp\n            for j in range(num_grids):\n                mask[start_y : start_y + grid_size, start_x : start_x + grid_size] = 0.\n                start_x += 2*grid_size\n            start_y += 2*grid_size\n        \n        #r = np.random.randint(self.rotate)\n        #mask = Image.fromarray(np.uint8(mask))\n        #mask = mask.rotate(r)\n        #mask = np.asarray(mask)\n        \n        mask = torch.from_numpy(mask).float()\n        \n        mask = mask.expand_as(img)\n        img = img * mask \n\n        return img","metadata":{"execution":{"iopub.status.busy":"2022-08-18T10:58:55.538308Z","iopub.execute_input":"2022-08-18T10:58:55.538970Z","iopub.status.idle":"2022-08-18T10:58:55.550508Z","shell.execute_reply.started":"2022-08-18T10:58:55.538916Z","shell.execute_reply":"2022-08-18T10:58:55.549466Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"pil_img = Image.open('../input/cat-and-dog/training_set/training_set/cats/cat.1013.jpg')\npil_img","metadata":{"execution":{"iopub.status.busy":"2022-08-18T11:00:59.401961Z","iopub.execute_input":"2022-08-18T11:00:59.402341Z","iopub.status.idle":"2022-08-18T11:00:59.540915Z","shell.execute_reply.started":"2022-08-18T11:00:59.402311Z","shell.execute_reply":"2022-08-18T11:00:59.539610Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"# Preprocess\nPREPROCESS = transforms.Compose(\n    [transforms.Resize((224, 224)),\n     transforms.ToTensor(),\n    ]\n)\n\ntensor_img = PREPROCESS(pil_img)\n\ngridmask = GridMask()\ngridmasked_x = [gridmask(tensor_img) for _ in range(4)]\n\n# Convert the Tensor back to Image for visualization Purpose.\nconvert_img = transforms.ToPILImage()\n\nf, ax = plt.subplots(1, 4, figsize=(12, 12))\n\nfor i in range(4):\n    ax[i].imshow(convert_img(gridmasked_x[i]))","metadata":{"execution":{"iopub.status.busy":"2022-08-18T11:01:01.526394Z","iopub.execute_input":"2022-08-18T11:01:01.526779Z","iopub.status.idle":"2022-08-18T11:01:02.019376Z","shell.execute_reply.started":"2022-08-18T11:01:01.526748Z","shell.execute_reply":"2022-08-18T11:01:02.018195Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"# To be Continued....\n\n* How to use these DA's during model training. (Train on [Cassava Leaf Disease Classification](https://www.kaggle.com/c/cassava-leaf-disease-classification))\n\n* Analyze the Impact of these techniques on the Model Performance.\n\n-----------------------------------------------------------------------------------","metadata":{}}]}