Logo Detection Using Pytorch-Colab.ipynb

{"nbformat":4,"nbformat_minor":0,"metadata":{"colab":{"name":"Logo Detection Using Pytorch-Colab.ipynb","version":"0.3.2","views":{},"default_view":{},"provenance":[],"collapsed_sections":[]},"kernelspec":{"display_name":"Python 3","language":"python","name":"python3"},"accelerator":"GPU"},"cells":[{"metadata":{"id":"54Cc0J-8H34j","colab_type":"text"},"cell_type":"markdown","source":["# Logo Detection Using PyTorch for Colab"]},{"metadata":{"id":"cfoOJixhJIQr","colab_type":"text"},"cell_type":"markdown","source":["#  Colab Preparation"]},{"metadata":{"id":"XpmUIeTXLKGD","colab_type":"text"},"cell_type":"markdown","source":["## Install PyTorch 0.4 for Colab"]},{"metadata":{"id":"FC8-DVX2JEAn","colab_type":"code","colab":{"autoexec":{"startup":false,"wait_interval":0},"base_uri":"https://localhost:8080/","height":104},"outputId":"3563cbe0-68b9-4042-c1ab-55ffe5ffe356","executionInfo":{"status":"ok","timestamp":1531223725639,"user_tz":-420,"elapsed":4877,"user":{"displayName":"Nithiroj Tripatarasit","photoUrl":"//lh4.googleusercontent.com/-sqbPfDxWHDw/AAAAAAAAAAI/AAAAAAAAGkQ/HR6P8X9hRKI/s50-c-k-no/photo.jpg","userId":"114076343904356883161"}}},"cell_type":"code","source":["from os import path\n","from wheel.pep425tags import get_abbr_impl, get_impl_ver, get_abi_tag\n","platform = '{}{}-{}'.format(get_abbr_impl(), get_impl_ver(), get_abi_tag())\n","\n","accelerator = 'cu80' if path.exists('/opt/bin/nvidia-smi') else 'cpu'\n","\n","!pip3 install -q http://download.pytorch.org/whl/{accelerator}/torch-0.4.0-{platform}-linux_x86_64.whl \n","!pip3 install torchvision"],"execution_count":1,"outputs":[{"output_type":"stream","text":["Requirement already satisfied: torchvision in /usr/local/lib/python3.6/dist-packages (0.2.1)\r\n","Requirement already satisfied: six in /usr/local/lib/python3.6/dist-packages (from torchvision) (1.11.0)\r\n","Requirement already satisfied: torch in /usr/local/lib/python3.6/dist-packages (from torchvision) (0.4.0)\r\n","Requirement already satisfied: numpy in /usr/local/lib/python3.6/dist-packages (from torchvision) (1.14.5)\r\n","Requirement already satisfied: pillow>=4.1.1 in /usr/local/lib/python3.6/dist-packages (from torchvision) (5.2.0)\r\n"],"name":"stdout"}]},{"metadata":{"id":"dwEE99RAJqXS","colab_type":"code","colab":{"autoexec":{"startup":false,"wait_interval":0},"base_uri":"https://localhost:8080/","height":69},"outputId":"d0394e96-d211-45d8-8176-22f039e55c7b","executionInfo":{"status":"ok","timestamp":1531223729235,"user_tz":-420,"elapsed":1754,"user":{"displayName":"Nithiroj Tripatarasit","photoUrl":"//lh4.googleusercontent.com/-sqbPfDxWHDw/AAAAAAAAAAI/AAAAAAAAGkQ/HR6P8X9hRKI/s50-c-k-no/photo.jpg","userId":"114076343904356883161"}}},"cell_type":"code","source":["import torch\n","print(torch.__version__)\n","print(accelerator)\n","print(torch.cuda.is_available())"],"execution_count":2,"outputs":[{"output_type":"stream","text":["0.4.0\n","cu80\n","True\n"],"name":"stdout"}]},{"metadata":{"id":"LNCmPBQvH34p","colab_type":"text"},"cell_type":"markdown","source":["# 1. Get the Data"]},{"metadata":{"id":"p7v0V-uzH34t","colab_type":"code","colab":{"autoexec":{"startup":false,"wait_interval":0},"base_uri":"https://localhost:8080/","height":0},"outputId":"163c1250-fec0-4a27-981a-19b78de54e5d","executionInfo":{"status":"ok","timestamp":1531223732471,"user_tz":-420,"elapsed":621,"user":{"displayName":"Nithiroj Tripatarasit","photoUrl":"//lh4.googleusercontent.com/-sqbPfDxWHDw/AAAAAAAAAAI/AAAAAAAAGkQ/HR6P8X9hRKI/s50-c-k-no/photo.jpg","userId":"114076343904356883161"}}},"cell_type":"code","source":["import urllib.request\n","import os\n","import zipfile\n","import shutil\n","from pathlib import Path"],"execution_count":3,"outputs":[]},{"metadata":{"id":"_FnOg43fH35F","colab_type":"code","colab":{"autoexec":{"startup":false,"wait_interval":0},"base_uri":"https://localhost:8080/","height":0},"outputId":"2f1bc5fc-3882-4822-d61e-b561e0c4cdc9","executionInfo":{"status":"ok","timestamp":1531223735628,"user_tz":-420,"elapsed":841,"user":{"displayName":"Nithiroj Tripatarasit","photoUrl":"//lh4.googleusercontent.com/-sqbPfDxWHDw/AAAAAAAAAAI/AAAAAAAAGkQ/HR6P8X9hRKI/s50-c-k-no/photo.jpg","userId":"114076343904356883161"}}},"cell_type":"code","source":["# See download section on URL: http://www.multimedia-computing.de/flickrlogos/\n","FLICKLOGOS_URL = <...FlickrLogos-32_dataset_v2.zip>"],"execution_count":4,"outputs":[]},{"metadata":{"id":"1tliHKANH35S","colab_type":"code","colab":{"autoexec":{"startup":false,"wait_interval":0},"base_uri":"https://localhost:8080/","height":0},"outputId":"b51484f4-8dfa-45f6-82fd-bd937d63c465","executionInfo":{"status":"ok","timestamp":1531223737427,"user_tz":-420,"elapsed":778,"user":{"displayName":"Nithiroj Tripatarasit","photoUrl":"//lh4.googleusercontent.com/-sqbPfDxWHDw/AAAAAAAAAAI/AAAAAAAAGkQ/HR6P8X9hRKI/s50-c-k-no/photo.jpg","userId":"114076343904356883161"}}},"cell_type":"code","source":["SOURCE_DIR = Path('FlickrLogos-v2')\n","DATA_DIR = Path('data')\n","SETS = ['train', 'val', 'test']"],"execution_count":5,"outputs":[]},{"metadata":{"id":"enT5tQm1H35h","colab_type":"code","colab":{"autoexec":{"startup":false,"wait_interval":0},"base_uri":"https://localhost:8080/","height":0},"outputId":"3981c7aa-2ae7-4ad3-c939-c1a6bc32ff2c","executionInfo":{"status":"ok","timestamp":1531223740447,"user_tz":-420,"elapsed":921,"user":{"displayName":"Nithiroj Tripatarasit","photoUrl":"//lh4.googleusercontent.com/-sqbPfDxWHDw/AAAAAAAAAAI/AAAAAAAAGkQ/HR6P8X9hRKI/s50-c-k-no/photo.jpg","userId":"114076343904356883161"}}},"cell_type":"code","source":["def load_datasets(url, dst_dir):\n","    zip_file = url.split(sep='/')[-1]\n","    zip_file_path = SOURCE_DIR / zip_file\n","    if not dst_dir.is_dir():\n","        if not zip_file_path.is_file():\n","            urllib.request.urlretrieve(url, zip_file)        \n","        with zipfile.ZipFile(zip_file) as zip_ref:\n","            zip_ref.extractall()\n","        #os.unlink(zip_file)    # comment out if you want to delete zip file"],"execution_count":6,"outputs":[]},{"metadata":{"id":"0_ErH0Z5H35q","colab_type":"code","colab":{"autoexec":{"startup":false,"wait_interval":0},"base_uri":"https://localhost:8080/","height":52},"outputId":"bc9b57cf-ba9f-4da0-f376-6c807bc2d3f0","executionInfo":{"status":"ok","timestamp":1531223743348,"user_tz":-420,"elapsed":874,"user":{"displayName":"Nithiroj Tripatarasit","photoUrl":"//lh4.googleusercontent.com/-sqbPfDxWHDw/AAAAAAAAAAI/AAAAAAAAGkQ/HR6P8X9hRKI/s50-c-k-no/photo.jpg","userId":"114076343904356883161"}}},"cell_type":"code","source":["%time load_datasets(FLICKLOGOS_URL, SOURCE_DIR)"],"execution_count":7,"outputs":[{"output_type":"stream","text":["CPU times: user 0 ns, sys: 0 ns, total: 0 ns\n","Wall time: 750 µs\n"],"name":"stdout"}]},{"metadata":{"id":"GwG_vqUyMfgM","colab_type":"code","colab":{"autoexec":{"startup":false,"wait_interval":0},"base_uri":"https://localhost:8080/","height":347},"outputId":"b237fabc-f5be-4ecf-82d5-b5895fafbecb","executionInfo":{"status":"ok","timestamp":1531223749663,"user_tz":-420,"elapsed":2025,"user":{"displayName":"Nithiroj Tripatarasit","photoUrl":"//lh4.googleusercontent.com/-sqbPfDxWHDw/AAAAAAAAAAI/AAAAAAAAGkQ/HR6P8X9hRKI/s50-c-k-no/photo.jpg","userId":"114076343904356883161"}}},"cell_type":"code","source":["!ls FlickrLogos-v2"],"execution_count":8,"outputs":[{"output_type":"stream","text":["all.filenames.txt\t\t trainset.relpaths.txt\r\n","all.relpaths.txt\t\t trainset.spaces.txt\r\n","all.spaces.txt\t\t\t trainset.txt\r\n","all.txt\t\t\t\t trainvalset.filenames.txt\r\n","classes\t\t\t\t trainvalset.relpaths.txt\r\n","README.txt\t\t\t trainvalset.spaces.txt\r\n","scripts\t\t\t\t trainvalset.txt\r\n","testset.filenames.txt\t\t valset.filenames.txt\r\n","testset-logosonly.filenames.txt  valset-logosonly.filenames.txt\r\n","testset-logosonly.relpaths.txt\t valset-logosonly.relpaths.txt\r\n","testset-logosonly.spaces.txt\t valset-logosonly.spaces.txt\r\n","testset-logosonly.txt\t\t valset-nologos.filenames.txt\r\n","testset-nologos.filenames.txt\t valset-nologos.relpaths.txt\r\n","testset-nologos.relpaths.txt\t valset-nologos.spaces.txt\r\n","testset-nologos.spaces.txt\t valset.relpaths.txt\r\n","testset.relpaths.txt\t\t valset.spaces.txt\r\n","testset.spaces.txt\t\t valset.txt\r\n","testset.txt\t\t\t visualsummary.jpg\r\n","trainset.filenames.txt\r\n"],"name":"stdout"}]},{"metadata":{"id":"Yby4uPZnH350","colab_type":"text"},"cell_type":"markdown","source":["# 2. Prepare Datasets"]},{"metadata":{"id":"UzGPnZRnH352","colab_type":"code","colab":{"autoexec":{"startup":false,"wait_interval":0},"base_uri":"https://localhost:8080/","height":0},"outputId":"7ed5b415-d4ce-451d-e765-a4d62001463a","executionInfo":{"status":"ok","timestamp":1531223753090,"user_tz":-420,"elapsed":822,"user":{"displayName":"Nithiroj Tripatarasit","photoUrl":"//lh4.googleusercontent.com/-sqbPfDxWHDw/AAAAAAAAAAI/AAAAAAAAGkQ/HR6P8X9hRKI/s50-c-k-no/photo.jpg","userId":"114076343904356883161"}}},"cell_type":"code","source":["def list_image_paths(txt_relpath):\n","    with open(txt_relpath) as f:\n","        image_paths = f.read().splitlines()\n","    return image_paths"],"execution_count":9,"outputs":[]},{"metadata":{"id":"KZh37i1-H36I","colab_type":"code","colab":{"autoexec":{"startup":false,"wait_interval":0},"base_uri":"https://localhost:8080/","height":0},"outputId":"b71e57b6-1100-48d4-e321-67b6f9668b56","executionInfo":{"status":"ok","timestamp":1531223755000,"user_tz":-420,"elapsed":831,"user":{"displayName":"Nithiroj Tripatarasit","photoUrl":"//lh4.googleusercontent.com/-sqbPfDxWHDw/AAAAAAAAAAI/AAAAAAAAGkQ/HR6P8X9hRKI/s50-c-k-no/photo.jpg","userId":"114076343904356883161"}}},"cell_type":"code","source":["train_logo_relpaths = list_image_paths(SOURCE_DIR / 'trainset.relpaths.txt')\n","val_logo_relpaths = list_image_paths(SOURCE_DIR / 'valset-logosonly.relpaths.txt')\n","val_nologo_relpaths = list_image_paths(SOURCE_DIR / 'valset-nologos.relpaths.txt')\n","test_relpaths = list_image_paths(SOURCE_DIR / 'testset.relpaths.txt')"],"execution_count":10,"outputs":[]},{"metadata":{"id":"M-V38tMjH36f","colab_type":"code","colab":{"autoexec":{"startup":false,"wait_interval":0},"base_uri":"https://localhost:8080/","height":86},"outputId":"f17c6fe2-aa6d-46b2-abc2-7b993ebc4341","executionInfo":{"status":"ok","timestamp":1531223757906,"user_tz":-420,"elapsed":641,"user":{"displayName":"Nithiroj Tripatarasit","photoUrl":"//lh4.googleusercontent.com/-sqbPfDxWHDw/AAAAAAAAAAI/AAAAAAAAGkQ/HR6P8X9hRKI/s50-c-k-no/photo.jpg","userId":"114076343904356883161"}}},"cell_type":"code","source":["print('Numbers of Training Images (logo): ',len(train_logo_relpaths))\n","print('Numbers of Validation Images (logo): ',len(val_logo_relpaths))\n","print('Numbers of Training Images (no logo): ',len(val_nologo_relpaths))\n","print('Numbers of Test Images (logos + no log): ',len(test_relpaths))"],"execution_count":11,"outputs":[{"output_type":"stream","text":["Numbers of Training Images (logo):  320\n","Numbers of Validation Images (logo):  960\n","Numbers of Training Images (no logo):  3000\n","Numbers of Test Images (logos + no log):  3960\n"],"name":"stdout"}]},{"metadata":{"id":"yOZ8FuJNH361","colab_type":"code","colab":{"autoexec":{"startup":false,"wait_interval":0},"base_uri":"https://localhost:8080/","height":0},"outputId":"41e1315e-0322-4bea-91ac-ce8ebe42b2e5","executionInfo":{"status":"ok","timestamp":1531223761440,"user_tz":-420,"elapsed":798,"user":{"displayName":"Nithiroj Tripatarasit","photoUrl":"//lh4.googleusercontent.com/-sqbPfDxWHDw/AAAAAAAAAAI/AAAAAAAAGkQ/HR6P8X9hRKI/s50-c-k-no/photo.jpg","userId":"114076343904356883161"}}},"cell_type":"code","source":["train_relpaths = train_logo_relpaths + val_nologo_relpaths[:int(len(val_nologo_relpaths) / 2)]\n","val_relpaths = val_logo_relpaths + val_nologo_relpaths[int(len(val_nologo_relpaths) / 2):]"],"execution_count":12,"outputs":[]},{"metadata":{"id":"DmBKHqdmH37I","colab_type":"code","colab":{"autoexec":{"startup":false,"wait_interval":0},"base_uri":"https://localhost:8080/","height":69},"outputId":"1ce8d1b6-1f4a-4574-f8d2-600da04804fb","executionInfo":{"status":"ok","timestamp":1531223764234,"user_tz":-420,"elapsed":870,"user":{"displayName":"Nithiroj Tripatarasit","photoUrl":"//lh4.googleusercontent.com/-sqbPfDxWHDw/AAAAAAAAAAI/AAAAAAAAGkQ/HR6P8X9hRKI/s50-c-k-no/photo.jpg","userId":"114076343904356883161"}}},"cell_type":"code","source":["print('Numbers of Training Images (logos + no logo): ',len(train_relpaths))\n","print('Numbers of Validation Images (logos + no logo): ',len(val_relpaths))\n","print('Numbers of Training Images (logos + no log): ',len(test_relpaths))"],"execution_count":13,"outputs":[{"output_type":"stream","text":["Numbers of Training Images (logos + no logo):  1820\n","Numbers of Validation Images (logos + no logo):  2460\n","Numbers of Training Images (logos + no log):  3960\n"],"name":"stdout"}]},{"metadata":{"id":"QP32paBvH37a","colab_type":"code","colab":{"autoexec":{"startup":false,"wait_interval":0},"base_uri":"https://localhost:8080/","height":0},"outputId":"7f1c1baf-2267-4394-9faa-9afb9b679a29","executionInfo":{"status":"ok","timestamp":1531223767508,"user_tz":-420,"elapsed":839,"user":{"displayName":"Nithiroj Tripatarasit","photoUrl":"//lh4.googleusercontent.com/-sqbPfDxWHDw/AAAAAAAAAAI/AAAAAAAAGkQ/HR6P8X9hRKI/s50-c-k-no/photo.jpg","userId":"114076343904356883161"}}},"cell_type":"code","source":["relpaths = [train_relpaths, val_relpaths, test_relpaths]\n","dataset_paths = dict(zip(SETS, relpaths))\n","# dataset_paths = dict(train=train_relpaths, val=val_relpaths, test=test_relpaths)"],"execution_count":14,"outputs":[]},{"metadata":{"id":"cAzK0ur1H37n","colab_type":"code","colab":{"autoexec":{"startup":false,"wait_interval":0},"base_uri":"https://localhost:8080/","height":34},"outputId":"65b509de-b6f9-44ec-a603-5eeea1195d9f","executionInfo":{"status":"ok","timestamp":1531223769408,"user_tz":-420,"elapsed":868,"user":{"displayName":"Nithiroj Tripatarasit","photoUrl":"//lh4.googleusercontent.com/-sqbPfDxWHDw/AAAAAAAAAAI/AAAAAAAAGkQ/HR6P8X9hRKI/s50-c-k-no/photo.jpg","userId":"114076343904356883161"}}},"cell_type":"code","source":["len(dataset_paths['train'])"],"execution_count":15,"outputs":[{"output_type":"execute_result","data":{"text/plain":["1820"]},"metadata":{"tags":[]},"execution_count":15}]},{"metadata":{"id":"9LSA_QOtH377","colab_type":"code","colab":{"autoexec":{"startup":false,"wait_interval":0},"base_uri":"https://localhost:8080/","height":34},"outputId":"5ec45de4-f2b6-4545-cce5-194441493288","executionInfo":{"status":"ok","timestamp":1531223772641,"user_tz":-420,"elapsed":1062,"user":{"displayName":"Nithiroj Tripatarasit","photoUrl":"//lh4.googleusercontent.com/-sqbPfDxWHDw/AAAAAAAAAAI/AAAAAAAAGkQ/HR6P8X9hRKI/s50-c-k-no/photo.jpg","userId":"114076343904356883161"}}},"cell_type":"code","source":["train_logo_relpaths[0]"],"execution_count":16,"outputs":[{"output_type":"execute_result","data":{"text/plain":["'classes/jpg/google/2325670467.jpg'"]},"metadata":{"tags":[]},"execution_count":16}]},{"metadata":{"id":"Uw03R1ZhH38J","colab_type":"code","colab":{"autoexec":{"startup":false,"wait_interval":0},"base_uri":"https://localhost:8080/","height":0},"outputId":"ac3fc4f9-aaa1-4911-923f-b3ad04f03602","executionInfo":{"status":"ok","timestamp":1531223774962,"user_tz":-420,"elapsed":834,"user":{"displayName":"Nithiroj Tripatarasit","photoUrl":"//lh4.googleusercontent.com/-sqbPfDxWHDw/AAAAAAAAAAI/AAAAAAAAGkQ/HR6P8X9hRKI/s50-c-k-no/photo.jpg","userId":"114076343904356883161"}}},"cell_type":"code","source":["def prepare_datasets(src_dir, dst_dir, keep_source=True):\n","    for dataset, paths in dataset_paths.items():\n","        num_files = 0\n","        for path in paths:\n","            num_files += 1\n","            src = src_dir / path\n","            dst = dst_dir / (path.replace('classes/jpg', dataset))\n","            dst.parent.mkdir(parents=True, exist_ok=True)\n","            shutil.copy2(src, dst)\n","        print(dataset, 'dataset:', str(num_files))\n","    if not keep_source: shutil.rmtree(src_dir)"],"execution_count":17,"outputs":[]},{"metadata":{"id":"0GQ881Q6V9ZW","colab_type":"code","colab":{"autoexec":{"startup":false,"wait_interval":0},"base_uri":"https://localhost:8080/","height":34},"outputId":"e6af7bfc-7a7b-424f-871d-e9f0d362297b","executionInfo":{"status":"ok","timestamp":1531223779070,"user_tz":-420,"elapsed":2036,"user":{"displayName":"Nithiroj Tripatarasit","photoUrl":"//lh4.googleusercontent.com/-sqbPfDxWHDw/AAAAAAAAAAI/AAAAAAAAGkQ/HR6P8X9hRKI/s50-c-k-no/photo.jpg","userId":"114076343904356883161"}}},"cell_type":"code","source":["!ls data"],"execution_count":18,"outputs":[{"output_type":"stream","text":["test  train  val\r\n"],"name":"stdout"}]},{"metadata":{"id":"0ricwxcPH38V","colab_type":"code","colab":{"autoexec":{"startup":false,"wait_interval":0},"base_uri":"https://localhost:8080/","height":104},"outputId":"1c56dcad-c6a1-4824-e7a2-f77291d373d8","executionInfo":{"status":"ok","timestamp":1531223396210,"user_tz":-420,"elapsed":46465,"user":{"displayName":"Nithiroj Tripatarasit","photoUrl":"//lh4.googleusercontent.com/-sqbPfDxWHDw/AAAAAAAAAAI/AAAAAAAAGkQ/HR6P8X9hRKI/s50-c-k-no/photo.jpg","userId":"114076343904356883161"}}},"cell_type":"code","source":["# Run once\n","%time prepare_datasets(SOURCE_DIR, DATA_DIR)"],"execution_count":74,"outputs":[{"output_type":"stream","text":["train dataset: 1820\n","val dataset: 2460\n","test dataset: 3960\n","CPU times: user 3.25 s, sys: 6.09 s, total: 9.34 s\n","Wall time: 45.6 s\n"],"name":"stdout"}]},{"metadata":{"id":"ETDrcqBwH38j","colab_type":"text"},"cell_type":"markdown","source":["## DataLoader"]},{"metadata":{"id":"cQdSGN7pH38m","colab_type":"code","colab":{"autoexec":{"startup":false,"wait_interval":0},"base_uri":"https://localhost:8080/","height":0},"outputId":"83451aba-582c-4e0b-8c63-06c5e2751667","executionInfo":{"status":"ok","timestamp":1531223783972,"user_tz":-420,"elapsed":1083,"user":{"displayName":"Nithiroj Tripatarasit","photoUrl":"//lh4.googleusercontent.com/-sqbPfDxWHDw/AAAAAAAAAAI/AAAAAAAAGkQ/HR6P8X9hRKI/s50-c-k-no/photo.jpg","userId":"114076343904356883161"}}},"cell_type":"code","source":["%matplotlib inline\n","import time\n","import copy\n","import numpy as np\n","import matplotlib.pyplot as plt\n","import torch\n","import torch.nn as nn\n","import torch.nn.functional as F\n","import torch.optim as optim\n","import torchvision\n","from torchvision.transforms import transforms\n","from torch.utils.data import DataLoader"],"execution_count":19,"outputs":[]},{"metadata":{"id":"A5PDZ1IiH397","colab_type":"code","colab":{"autoexec":{"startup":false,"wait_interval":0},"base_uri":"https://localhost:8080/","height":0},"outputId":"9939b608-eada-4c89-f7d8-1a8aacedec3f","executionInfo":{"status":"ok","timestamp":1531223787268,"user_tz":-420,"elapsed":1002,"user":{"displayName":"Nithiroj Tripatarasit","photoUrl":"//lh4.googleusercontent.com/-sqbPfDxWHDw/AAAAAAAAAAI/AAAAAAAAGkQ/HR6P8X9hRKI/s50-c-k-no/photo.jpg","userId":"114076343904356883161"}}},"cell_type":"code","source":["train_mean = np.array([0.44943, 0.4331 , 0.40244])\n","train_std = np.array([0.29053, 0.28417, 0.30194])"],"execution_count":20,"outputs":[]},{"metadata":{"id":"fdFoMKNlH3-O","colab_type":"code","colab":{"autoexec":{"startup":false,"wait_interval":0},"base_uri":"https://localhost:8080/","height":0},"outputId":"57a200a3-9125-4a02-fe4a-e9ec99ec03ed","executionInfo":{"status":"ok","timestamp":1531223789391,"user_tz":-420,"elapsed":836,"user":{"displayName":"Nithiroj Tripatarasit","photoUrl":"//lh4.googleusercontent.com/-sqbPfDxWHDw/AAAAAAAAAAI/AAAAAAAAGkQ/HR6P8X9hRKI/s50-c-k-no/photo.jpg","userId":"114076343904356883161"}}},"cell_type":"code","source":["data_transforms = transforms.Compose([\n","    transforms.Resize((224, 224)), \n","    transforms.ToTensor(),\n","    transforms.Normalize(train_mean, train_std)\n","])"],"execution_count":21,"outputs":[]},{"metadata":{"id":"DRS6UDxqH3-b","colab_type":"code","colab":{"autoexec":{"startup":false,"wait_interval":0},"base_uri":"https://localhost:8080/","height":0},"outputId":"895213f9-04db-48a2-a369-04ebd3726c6d","executionInfo":{"status":"ok","timestamp":1531223792385,"user_tz":-420,"elapsed":783,"user":{"displayName":"Nithiroj Tripatarasit","photoUrl":"//lh4.googleusercontent.com/-sqbPfDxWHDw/AAAAAAAAAAI/AAAAAAAAGkQ/HR6P8X9hRKI/s50-c-k-no/photo.jpg","userId":"114076343904356883161"}}},"cell_type":"code","source":["datasets = {i : torchvision.datasets.ImageFolder(DATA_DIR / i, data_transforms) \n","            for i in SETS}"],"execution_count":22,"outputs":[]},{"metadata":{"id":"X1C9rGSuH3-y","colab_type":"code","colab":{"autoexec":{"startup":false,"wait_interval":0},"base_uri":"https://localhost:8080/","height":0},"outputId":"94962d88-e9f8-481f-97fa-c12a37895e1c","executionInfo":{"status":"ok","timestamp":1531223795129,"user_tz":-420,"elapsed":806,"user":{"displayName":"Nithiroj Tripatarasit","photoUrl":"//lh4.googleusercontent.com/-sqbPfDxWHDw/AAAAAAAAAAI/AAAAAAAAGkQ/HR6P8X9hRKI/s50-c-k-no/photo.jpg","userId":"114076343904356883161"}}},"cell_type":"code","source":["bz = 8 # lower if error"],"execution_count":23,"outputs":[]},{"metadata":{"id":"rHyctCawH3-4","colab_type":"code","colab":{"autoexec":{"startup":false,"wait_interval":0},"base_uri":"https://localhost:8080/","height":0},"outputId":"d42f433e-f9a7-4f01-a8dd-9f4ae91d85a3","executionInfo":{"status":"ok","timestamp":1531223796830,"user_tz":-420,"elapsed":866,"user":{"displayName":"Nithiroj Tripatarasit","photoUrl":"//lh4.googleusercontent.com/-sqbPfDxWHDw/AAAAAAAAAAI/AAAAAAAAGkQ/HR6P8X9hRKI/s50-c-k-no/photo.jpg","userId":"114076343904356883161"}}},"cell_type":"code","source":["dataloaders = {i : DataLoader(datasets[i], batch_size=bz, shuffle=(i == 'train'), num_workers=4) \n","               for i in SETS}"],"execution_count":24,"outputs":[]},{"metadata":{"id":"IEBq8iS8H3_E","colab_type":"text"},"cell_type":"markdown","source":["## Visualize Datasets"]},{"metadata":{"id":"bTfDEOGLH3_F","colab_type":"code","colab":{"autoexec":{"startup":false,"wait_interval":0},"base_uri":"https://localhost:8080/","height":0},"outputId":"20263f39-2b30-4f05-affe-5a753d5cc077","executionInfo":{"status":"ok","timestamp":1531223800059,"user_tz":-420,"elapsed":818,"user":{"displayName":"Nithiroj Tripatarasit","photoUrl":"//lh4.googleusercontent.com/-sqbPfDxWHDw/AAAAAAAAAAI/AAAAAAAAGkQ/HR6P8X9hRKI/s50-c-k-no/photo.jpg","userId":"114076343904356883161"}}},"cell_type":"code","source":["def imshow(img):\n","    npimg = img.numpy().transpose((1, 2, 0))\n","    npimg = npimg * train_std + train_std    # denorm\n","    npimg = np.clip(npimg, 0, 1)\n","    plt.imshow(npimg)"],"execution_count":25,"outputs":[]},{"metadata":{"id":"7SoYQqg0H3_L","colab_type":"code","colab":{"autoexec":{"startup":false,"wait_interval":0},"base_uri":"https://localhost:8080/","height":0},"outputId":"3d42557c-5d32-4aa8-cec1-bcc7002357da","executionInfo":{"status":"ok","timestamp":1531223802325,"user_tz":-420,"elapsed":1199,"user":{"displayName":"Nithiroj Tripatarasit","photoUrl":"//lh4.googleusercontent.com/-sqbPfDxWHDw/AAAAAAAAAAI/AAAAAAAAGkQ/HR6P8X9hRKI/s50-c-k-no/photo.jpg","userId":"114076343904356883161"}}},"cell_type":"code","source":["imgs, labels = next(iter(dataloaders['train']))"],"execution_count":26,"outputs":[]},{"metadata":{"id":"fZWrp7klH3_d","colab_type":"code","colab":{"autoexec":{"startup":false,"wait_interval":0},"base_uri":"https://localhost:8080/","height":153},"outputId":"f193b791-a291-4e46-d362-7cb73af5c4f6","executionInfo":{"status":"ok","timestamp":1531223805941,"user_tz":-420,"elapsed":1372,"user":{"displayName":"Nithiroj Tripatarasit","photoUrl":"//lh4.googleusercontent.com/-sqbPfDxWHDw/AAAAAAAAAAI/AAAAAAAAGkQ/HR6P8X9hRKI/s50-c-k-no/photo.jpg","userId":"114076343904356883161"}}},"cell_type":"code","source":["img = torchvision.utils.make_grid(imgs[:4])\n","classes = datasets['train'].classes\n","print(', '.join(classes[i] for i in labels[:4]))\n","imshow(img)"],"execution_count":27,"outputs":[{"output_type":"stream","text":["no-logo, no-logo, singha, no-logo\n"],"name":"stdout"},{"output_type":"display_data","data":{"image/png":"iVBORw0KGgoAAAANSUhEUgAAAXUAAAB3CAYAAAD8QtB3AAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nTQYIAAAAAElFTkSuQmCC\n","text/plain":["<matplotlib.figure.Figure at 0x7f078a82e6a0>"]},"metadata":{"tags":[]}}]},{"metadata":{"id":"8ZZiFG5dH3_9","colab_type":"text"},"cell_type":"markdown","source":["# 3Create Network"]},{"metadata":{"id":"popiZSfHH4AD","colab_type":"text"},"cell_type":"markdown","source":["<img src=\"https://pytorch.org/tutorials/_images/mnist.png\">"]},{"metadata":{"id":"p5HYkglaH4AF","colab_type":"code","colab":{"autoexec":{"startup":false,"wait_interval":0},"base_uri":"https://localhost:8080/","height":0},"outputId":"889b065d-1e85-4df7-827d-6109be05ab5c","executionInfo":{"status":"ok","timestamp":1531223813551,"user_tz":-420,"elapsed":824,"user":{"displayName":"Nithiroj Tripatarasit","photoUrl":"//lh4.googleusercontent.com/-sqbPfDxWHDw/AAAAAAAAAAI/AAAAAAAAGkQ/HR6P8X9hRKI/s50-c-k-no/photo.jpg","userId":"114076343904356883161"}}},"cell_type":"code","source":["class CNN(nn.Module):\n","    def __init__(self):\n","        super(CNN, self).__init__()\n","        self.conv1 = nn.Conv2d(3, 6, 5)\n","        self.pool = nn.MaxPool2d(2, 2)\n","        self.conv2 = nn.Conv2d(6, 16, 5)\n","        self.fc1 = nn.Linear(16 * 53 * 53, 120)\n","        self.fc2 = nn.Linear(120, 84)\n","        self.fc3 = nn.Linear(84, 33)        \n","        \n","    def forward(self, x):\n","        x = self.pool(F.relu(self.conv1(x)))\n","        x = self.pool(F.relu(self.conv2(x)))\n","        x = x.view(-1, 16 * 53 * 53)\n","        x = F.relu(self.fc1(x))\n","        x = F.relu(self.fc2(x))\n","        x = self.fc3(x)\n","        return x"],"execution_count":28,"outputs":[]},{"metadata":{"id":"B5OKjTJpH4AO","colab_type":"code","colab":{"autoexec":{"startup":false,"wait_interval":0},"base_uri":"https://localhost:8080/","height":0},"outputId":"348ba69c-591c-4633-edbd-fd01e6505388","executionInfo":{"status":"ok","timestamp":1531223820311,"user_tz":-420,"elapsed":775,"user":{"displayName":"Nithiroj Tripatarasit","photoUrl":"//lh4.googleusercontent.com/-sqbPfDxWHDw/AAAAAAAAAAI/AAAAAAAAGkQ/HR6P8X9hRKI/s50-c-k-no/photo.jpg","userId":"114076343904356883161"}}},"cell_type":"code","source":["device = torch.device('cuda' if torch.cuda.is_available() else 'cpu')"],"execution_count":29,"outputs":[]},{"metadata":{"id":"eL6T4YTyH4AZ","colab_type":"code","colab":{"autoexec":{"startup":false,"wait_interval":0},"base_uri":"https://localhost:8080/","height":156},"outputId":"872103e7-1352-4e8e-be56-804db4ab3f9e","executionInfo":{"status":"ok","timestamp":1531223827518,"user_tz":-420,"elapsed":4828,"user":{"displayName":"Nithiroj Tripatarasit","photoUrl":"//lh4.googleusercontent.com/-sqbPfDxWHDw/AAAAAAAAAAI/AAAAAAAAGkQ/HR6P8X9hRKI/s50-c-k-no/photo.jpg","userId":"114076343904356883161"}}},"cell_type":"code","source":["cnn = CNN()\n","cnn = cnn.to(device)\n","cnn"],"execution_count":30,"outputs":[{"output_type":"execute_result","data":{"text/plain":["CNN(\n","  (conv1): Conv2d(3, 6, kernel_size=(5, 5), stride=(1, 1))\n","  (pool): MaxPool2d(kernel_size=2, stride=2, padding=0, dilation=1, ceil_mode=False)\n","  (conv2): Conv2d(6, 16, kernel_size=(5, 5), stride=(1, 1))\n","  (fc1): Linear(in_features=44944, out_features=120, bias=True)\n","  (fc2): Linear(in_features=120, out_features=84, bias=True)\n","  (fc3): Linear(in_features=84, out_features=33, bias=True)\n",")"]},"metadata":{"tags":[]},"execution_count":30}]},{"metadata":{"id":"UxZLZ0uaH4At","colab_type":"text"},"cell_type":"markdown","source":["## Define a Loss Function and Optimizer"]},{"metadata":{"id":"SMFHhqJqH4Av","colab_type":"code","colab":{"autoexec":{"startup":false,"wait_interval":0},"base_uri":"https://localhost:8080/","height":0},"outputId":"b43774c8-238a-43fa-e8fc-1fc6b0185eaa","executionInfo":{"status":"ok","timestamp":1531223829439,"user_tz":-420,"elapsed":826,"user":{"displayName":"Nithiroj Tripatarasit","photoUrl":"//lh4.googleusercontent.com/-sqbPfDxWHDw/AAAAAAAAAAI/AAAAAAAAGkQ/HR6P8X9hRKI/s50-c-k-no/photo.jpg","userId":"114076343904356883161"}}},"cell_type":"code","source":["criterion = nn.CrossEntropyLoss()\n","optimizer = optim.SGD(cnn.parameters(), lr=0.001, momentum=0.9)"],"execution_count":31,"outputs":[]},{"metadata":{"id":"jhP3gDBiH4A1","colab_type":"text"},"cell_type":"markdown","source":["## Train the Network"]},{"metadata":{"id":"AsdoXiN3H4A3","colab_type":"code","colab":{"autoexec":{"startup":false,"wait_interval":0},"base_uri":"https://localhost:8080/","height":0},"outputId":"88b50394-8eca-46fa-ab5c-f63fd8ac6b37","executionInfo":{"status":"ok","timestamp":1531223833364,"user_tz":-420,"elapsed":1070,"user":{"displayName":"Nithiroj Tripatarasit","photoUrl":"//lh4.googleusercontent.com/-sqbPfDxWHDw/AAAAAAAAAAI/AAAAAAAAGkQ/HR6P8X9hRKI/s50-c-k-no/photo.jpg","userId":"114076343904356883161"}}},"cell_type":"code","source":["def train_val(model, criterion, optimizer, num_epochs=25):\n","    since = time.time()\n","    \n","    best_model_wts = copy.deepcopy(model.state_dict())\n","    best_acc = 0.0\n","    \n","    for epoch in range(num_epochs):\n","        print('Epoc {}/{}'.format(epoch, num_epochs - 1))\n","        print('-' * 10)\n","        for phase in ['train', 'val']:\n","            if phase == 'train':\n","                model.train()\n","            else:\n","                model.eval()\n","            running_loss = 0.0\n","            running_corrects = 0\n","            for inputs, labels in dataloaders[phase]:\n","                inputs, labels = inputs.to(device), labels.to(device)\n","            \n","                optimizer.zero_grad()\n","\n","                with torch.set_grad_enabled(phase == 'train'):\n","                    # Forward pass\n","                    outputs = model(inputs)\n","                    _, preds = torch.max(outputs, 1)\n","\n","                    # Compute loss\n","                    loss = criterion(outputs, labels)\n","\n","                    # Compute gradients and update parameters if train\n","                    if phase == 'train':\n","                        loss.backward()\n","                        optimizer.step()\n","\n","                running_loss += loss.item() * inputs.size()[0]\n","                running_corrects += torch.sum(preds == labels).item()\n","\n","            epoch_loss = running_loss / len(datasets[phase])\n","            epoch_acc = running_corrects / len(datasets[phase])\n","        \n","            print('{} Loss: {:.4f} Acc.: {:.2f} %'.format(\n","                phase.title(), epoch_loss, epoch_acc * 100))\n","        \n","            if phase == 'val' and epoch_acc > best_acc:\n","                best_acc = epoch_acc\n","                best_model_wts = copy.deepcopy(model.state_dict())\n","        print()\n","    \n","    time_elapsed = time.time() - since\n","    print('Training complete in {:.0f}m {:.0f}s'.format(\n","        time_elapsed // 60, time_elapsed % 60))\n","    print('Best Accuracy: {:.2f} %'.format(best_acc * 100))\n","    model.load_state_dict(best_model_wts)\n","    \n","    return model"],"execution_count":32,"outputs":[]},{"metadata":{"id":"zxtcGl9ZH4A7","colab_type":"code","colab":{"autoexec":{"startup":false,"wait_interval":0},"base_uri":"https://localhost:8080/","height":2257},"outputId":"aff5be20-d0bf-4138-8ebb-baea5b323d0a","executionInfo":{"status":"ok","timestamp":1531227474361,"user_tz":-420,"elapsed":3637295,"user":{"displayName":"Nithiroj Tripatarasit","photoUrl":"//lh4.googleusercontent.com/-sqbPfDxWHDw/AAAAAAAAAAI/AAAAAAAAGkQ/HR6P8X9hRKI/s50-c-k-no/photo.jpg","userId":"114076343904356883161"}}},"cell_type":"code","source":["%time model_cnn = train_val(cnn, criterion, optimizer)"],"execution_count":33,"outputs":[{"output_type":"stream","text":["Epoc 0/24\n","----------\n","Train Loss: 1.2789 Acc.: 81.10 %\n","Val Loss: 2.0824 Acc.: 60.98 %\n","\n","Epoc 1/24\n","----------\n","Train Loss: 1.0940 Acc.: 82.42 %\n","Val Loss: 1.9814 Acc.: 60.98 %\n","\n","Epoc 2/24\n","----------\n","Train Loss: 1.0444 Acc.: 82.42 %\n","Val Loss: 2.0759 Acc.: 60.98 %\n","\n","Epoc 3/24\n","----------\n","Train Loss: 0.9732 Acc.: 82.42 %\n","Val Loss: 2.3913 Acc.: 60.98 %\n","\n","Epoc 4/24\n","----------\n","Train Loss: 0.9207 Acc.: 82.42 %\n","Val Loss: 2.3195 Acc.: 60.98 %\n","\n","Epoc 5/24\n","----------\n","Train Loss: 0.9183 Acc.: 82.42 %\n","Val Loss: 2.3083 Acc.: 60.98 %\n","\n","Epoc 6/24\n","----------\n","Train Loss: 0.8030 Acc.: 82.64 %\n","Val Loss: 2.2799 Acc.: 60.93 %\n","\n","Epoc 7/24\n","----------\n","Train Loss: 0.6595 Acc.: 84.56 %\n","Val Loss: 2.4849 Acc.: 61.34 %\n","\n","Epoc 8/24\n","----------\n","Train Loss: 0.5301 Acc.: 87.47 %\n","Val Loss: 2.8844 Acc.: 61.46 %\n","\n","Epoc 9/24\n","----------\n","Train Loss: 0.3071 Acc.: 92.97 %\n","Val Loss: 4.1787 Acc.: 61.63 %\n","\n","Epoc 10/24\n","----------\n","Train Loss: 0.1394 Acc.: 96.65 %\n","Val Loss: 3.5563 Acc.: 58.13 %\n","\n","Epoc 11/24\n","----------\n","Train Loss: 0.1170 Acc.: 97.03 %\n","Val Loss: 5.9626 Acc.: 61.18 %\n","\n","Epoc 12/24\n","----------\n","Train Loss: 0.0495 Acc.: 98.74 %\n","Val Loss: 5.0635 Acc.: 60.81 %\n","\n","Epoc 13/24\n","----------\n","Train Loss: 0.0104 Acc.: 99.73 %\n","Val Loss: 5.3605 Acc.: 60.49 %\n","\n","Epoc 14/24\n","----------\n","Train Loss: 0.0059 Acc.: 99.84 %\n","Val Loss: 6.0014 Acc.: 61.10 %\n","\n","Epoc 15/24\n","----------\n","Train Loss: 0.0021 Acc.: 100.00 %\n","Val Loss: 6.1777 Acc.: 61.06 %\n","\n","Epoc 16/24\n","----------\n","Train Loss: 0.0015 Acc.: 100.00 %\n","Val Loss: 6.2557 Acc.: 60.89 %\n","\n","Epoc 17/24\n","----------\n","Train Loss: 0.0012 Acc.: 100.00 %\n","Val Loss: 6.4660 Acc.: 60.98 %\n","\n","Epoc 18/24\n","----------\n","Train Loss: 0.0010 Acc.: 100.00 %\n","Val Loss: 6.7352 Acc.: 60.98 %\n","\n","Epoc 19/24\n","----------\n","Train Loss: 0.0008 Acc.: 100.00 %\n","Val Loss: 6.7452 Acc.: 60.98 %\n","\n","Epoc 20/24\n","----------\n","Train Loss: 0.0007 Acc.: 100.00 %\n","Val Loss: 6.8522 Acc.: 61.02 %\n","\n","Epoc 21/24\n","----------\n","Train Loss: 0.0006 Acc.: 100.00 %\n","Val Loss: 6.8358 Acc.: 60.98 %\n","\n","Epoc 22/24\n","----------\n","Train Loss: 0.0005 Acc.: 100.00 %\n","Val Loss: 6.9552 Acc.: 61.02 %\n","\n","Epoc 23/24\n","----------\n","Train Loss: 0.0005 Acc.: 100.00 %\n","Val Loss: 7.0204 Acc.: 61.02 %\n","\n","Epoc 24/24\n","----------\n","Train Loss: 0.0004 Acc.: 100.00 %\n","Val Loss: 7.0623 Acc.: 60.98 %\n","\n","Training complete in 60m 38s\n","Best Accuracy: 61.63 %\n","CPU times: user 2min 7s, sys: 1min 19s, total: 3min 26s\n","Wall time: 1h 37s\n"],"name":"stdout"}]},{"metadata":{"id":"_-vLgdVgH4BH","colab_type":"text"},"cell_type":"markdown","source":["# Evaluate Network"]},{"metadata":{"id":"KD8ATmATH4BJ","colab_type":"code","colab":{"autoexec":{"startup":false,"wait_interval":0},"base_uri":"https://localhost:8080/","height":17},"outputId":"d0b0705f-463f-4d92-b9b6-9904e1ec93b3","executionInfo":{"status":"ok","timestamp":1531227986428,"user_tz":-420,"elapsed":858,"user":{"displayName":"Nithiroj Tripatarasit","photoUrl":"//lh4.googleusercontent.com/-sqbPfDxWHDw/AAAAAAAAAAI/AAAAAAAAGkQ/HR6P8X9hRKI/s50-c-k-no/photo.jpg","userId":"114076343904356883161"}}},"cell_type":"code","source":["def test(model):\n","    model.eval()\n","    running_corrects = 0\n","    with torch.no_grad():\n","        for inputs, labels in dataloaders['test']:\n","            inputs, labels = inputs.to(device), labels.to(device)\n","            outputs = model(inputs)\n","            _, preds = torch.max(outputs, 1)\n","            \n","            running_corrects += torch.sum(preds == labels).item()\n","        \n","    test_acc = running_corrects / len(datasets['test'])\n","    print('Test Acc.: {:.2f} %'.format(test_acc * 100))"],"execution_count":34,"outputs":[]},{"metadata":{"id":"adtC6xDjH4BQ","colab_type":"code","colab":{"autoexec":{"startup":false,"wait_interval":0},"base_uri":"https://localhost:8080/","height":69},"outputId":"11b16093-dd3c-4f02-9688-b688c4116509","executionInfo":{"status":"ok","timestamp":1531228125559,"user_tz":-420,"elapsed":136008,"user":{"displayName":"Nithiroj Tripatarasit","photoUrl":"//lh4.googleusercontent.com/-sqbPfDxWHDw/AAAAAAAAAAI/AAAAAAAAGkQ/HR6P8X9hRKI/s50-c-k-no/photo.jpg","userId":"114076343904356883161"}}},"cell_type":"code","source":["%time test(model_cnn)"],"execution_count":35,"outputs":[{"output_type":"stream","text":["Test Acc.: 75.68 %\n","CPU times: user 3.62 s, sys: 1.69 s, total: 5.31 s\n","Wall time: 2min 15s\n"],"name":"stdout"}]},{"metadata":{"id":"H6_2bN5bH4Ba","colab_type":"text"},"cell_type":"markdown","source":["# Transfer Learning"]},{"metadata":{"id":"_1VsCbs1H4Bq","colab_type":"text"},"cell_type":"markdown","source":["## Fine-tuning"]},{"metadata":{"id":"wB1I6JuJH4By","colab_type":"code","colab":{"autoexec":{"startup":false,"wait_interval":0},"base_uri":"https://localhost:8080/","height":17},"outputId":"28ff7da7-403f-4a1f-fd05-51ed389f311b","executionInfo":{"status":"ok","timestamp":1531228132960,"user_tz":-420,"elapsed":818,"user":{"displayName":"Nithiroj Tripatarasit","photoUrl":"//lh4.googleusercontent.com/-sqbPfDxWHDw/AAAAAAAAAAI/AAAAAAAAGkQ/HR6P8X9hRKI/s50-c-k-no/photo.jpg","userId":"114076343904356883161"}}},"cell_type":"code","source":["train_mean = np.array([0.485, 0.456, 0.406])\n","train_std = np.array([0.229, 0.224, 0.225])"],"execution_count":36,"outputs":[]},{"metadata":{"id":"lkWQYhOaH4B6","colab_type":"code","colab":{"autoexec":{"startup":false,"wait_interval":0},"base_uri":"https://localhost:8080/","height":0},"outputId":"633f39b0-dd33-4e52-93f6-edb918814829","executionInfo":{"status":"ok","timestamp":1531228137596,"user_tz":-420,"elapsed":878,"user":{"displayName":"Nithiroj Tripatarasit","photoUrl":"//lh4.googleusercontent.com/-sqbPfDxWHDw/AAAAAAAAAAI/AAAAAAAAGkQ/HR6P8X9hRKI/s50-c-k-no/photo.jpg","userId":"114076343904356883161"}}},"cell_type":"code","source":["data_transforms = transforms.Compose([\n","    transforms.Resize((224, 224)), \n","    transforms.ToTensor(),\n","    transforms.Normalize(train_mean, train_std)\n","])"],"execution_count":37,"outputs":[]},{"metadata":{"id":"hrbQ9--CH4CB","colab_type":"code","colab":{"autoexec":{"startup":false,"wait_interval":0},"base_uri":"https://localhost:8080/","height":0},"outputId":"1034ea8c-e83c-45f5-8146-888a5f2f7e59","executionInfo":{"status":"ok","timestamp":1531228144403,"user_tz":-420,"elapsed":819,"user":{"displayName":"Nithiroj Tripatarasit","photoUrl":"//lh4.googleusercontent.com/-sqbPfDxWHDw/AAAAAAAAAAI/AAAAAAAAGkQ/HR6P8X9hRKI/s50-c-k-no/photo.jpg","userId":"114076343904356883161"}}},"cell_type":"code","source":["datasets = {i : torchvision.datasets.ImageFolder(DATA_DIR / i, data_transforms) \n","            for i in SETS}"],"execution_count":38,"outputs":[]},{"metadata":{"id":"Uk37YbkFH4CI","colab_type":"code","colab":{"autoexec":{"startup":false,"wait_interval":0},"base_uri":"https://localhost:8080/","height":0},"outputId":"3480af84-f2ff-43fe-c88e-6851bf88138a","executionInfo":{"status":"ok","timestamp":1531228147416,"user_tz":-420,"elapsed":851,"user":{"displayName":"Nithiroj Tripatarasit","photoUrl":"//lh4.googleusercontent.com/-sqbPfDxWHDw/AAAAAAAAAAI/AAAAAAAAGkQ/HR6P8X9hRKI/s50-c-k-no/photo.jpg","userId":"114076343904356883161"}}},"cell_type":"code","source":["dataloaders = {i : DataLoader(datasets[i], batch_size=bz, shuffle=(i == 'train'), num_workers=4) \n","               for i in SETS}"],"execution_count":39,"outputs":[]},{"metadata":{"id":"63a0CUTqH4CO","colab_type":"code","colab":{"autoexec":{"startup":false,"wait_interval":0},"base_uri":"https://localhost:8080/","height":0},"outputId":"d2513182-e23b-48bb-9560-b41337d7ef46","executionInfo":{"status":"ok","timestamp":1531228151129,"user_tz":-420,"elapsed":1160,"user":{"displayName":"Nithiroj Tripatarasit","photoUrl":"//lh4.googleusercontent.com/-sqbPfDxWHDw/AAAAAAAAAAI/AAAAAAAAGkQ/HR6P8X9hRKI/s50-c-k-no/photo.jpg","userId":"114076343904356883161"}}},"cell_type":"code","source":["imgs, labels = next(iter(dataloaders['train']))"],"execution_count":40,"outputs":[]},{"metadata":{"id":"OPfQA5_kH4CX","colab_type":"code","colab":{"autoexec":{"startup":false,"wait_interval":0},"base_uri":"https://localhost:8080/","height":153},"outputId":"f9ed3d28-a130-4328-844f-72660ddf27a5","executionInfo":{"status":"ok","timestamp":1531228154172,"user_tz":-420,"elapsed":1133,"user":{"displayName":"Nithiroj Tripatarasit","photoUrl":"//lh4.googleusercontent.com/-sqbPfDxWHDw/AAAAAAAAAAI/AAAAAAAAGkQ/HR6P8X9hRKI/s50-c-k-no/photo.jpg","userId":"114076343904356883161"}}},"cell_type":"code","source":["img = torchvision.utils.make_grid(imgs[:4])\n","classes = datasets['train'].classes\n","print(', '.join(classes[i] for i in labels[:4]))\n","imshow(img)"],"execution_count":41,"outputs":[{"output_type":"stream","text":["no-logo, no-logo, no-logo, no-logo\n"],"name":"stdout"},{"output_type":"display_data","data":{"image/png":"iVBORw0KGgoAAAANSUhEUgAAAXUAAAB3CAYAAAD8QtB3AAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\n","text/plain":["<matplotlib.figure.Figure at 0x7f078a8e1d30>"]},"metadata":{"tags":[]}}]},{"metadata":{"id":"xeE2qXmyH4Ch","colab_type":"code","colab":{"autoexec":{"startup":false,"wait_interval":0},"base_uri":"https://localhost:8080/","height":17},"outputId":"3276adc7-48da-4f88-8edc-0d7c9e738062","executionInfo":{"status":"ok","timestamp":1531228160124,"user_tz":-420,"elapsed":1143,"user":{"displayName":"Nithiroj Tripatarasit","photoUrl":"//lh4.googleusercontent.com/-sqbPfDxWHDw/AAAAAAAAAAI/AAAAAAAAGkQ/HR6P8X9hRKI/s50-c-k-no/photo.jpg","userId":"114076343904356883161"}}},"cell_type":"code","source":["model_ft = torchvision.models.resnet18(pretrained=True)\n","num_ftrs = model_ft.fc.in_features                       # 512\n","model_ft.fc = nn.Linear(num_ftrs, 33)\n","model_ft = model_ft.to(device)\n","criterion = nn.CrossEntropyLoss()\n","lr = 0.001\n","optimizer_ft = optim.SGD(model_ft.parameters(), lr=lr, momentum=0.9)"],"execution_count":42,"outputs":[]},{"metadata":{"id":"4mc5Exu3H4Co","colab_type":"code","colab":{"autoexec":{"startup":false,"wait_interval":0},"base_uri":"https://localhost:8080/","height":2257},"outputId":"72a60b71-c480-468d-b057-b9730d6a38fd","executionInfo":{"status":"ok","timestamp":1531231928624,"user_tz":-420,"elapsed":3764990,"user":{"displayName":"Nithiroj Tripatarasit","photoUrl":"//lh4.googleusercontent.com/-sqbPfDxWHDw/AAAAAAAAAAI/AAAAAAAAGkQ/HR6P8X9hRKI/s50-c-k-no/photo.jpg","userId":"114076343904356883161"}}},"cell_type":"code","source":["%time model_ft = train_val(model_ft, criterion, optimizer_ft)"],"execution_count":43,"outputs":[{"output_type":"stream","text":["Epoc 0/24\n","----------\n","Train Loss: 0.8379 Acc.: 81.37 %\n","Val Loss: 1.6310 Acc.: 62.60 %\n","\n","Epoc 1/24\n","----------\n","Train Loss: 0.5642 Acc.: 85.60 %\n","Val Loss: 1.4712 Acc.: 66.54 %\n","\n","Epoc 2/24\n","----------\n","Train Loss: 0.4068 Acc.: 91.37 %\n","Val Loss: 1.2385 Acc.: 71.59 %\n","\n","Epoc 3/24\n","----------\n","Train Loss: 0.2612 Acc.: 94.73 %\n","Val Loss: 1.1371 Acc.: 74.96 %\n","\n","Epoc 4/24\n","----------\n","Train Loss: 0.1423 Acc.: 98.13 %\n","Val Loss: 1.1393 Acc.: 75.57 %\n","\n","Epoc 5/24\n","----------\n","Train Loss: 0.0858 Acc.: 99.07 %\n","Val Loss: 1.1419 Acc.: 75.93 %\n","\n","Epoc 6/24\n","----------\n","Train Loss: 0.0470 Acc.: 99.95 %\n","Val Loss: 1.1337 Acc.: 76.71 %\n","\n","Epoc 7/24\n","----------\n","Train Loss: 0.0335 Acc.: 99.89 %\n","Val Loss: 1.0323 Acc.: 78.01 %\n","\n","Epoc 8/24\n","----------\n","Train Loss: 0.0252 Acc.: 99.89 %\n","Val Loss: 1.0919 Acc.: 77.97 %\n","\n","Epoc 9/24\n","----------\n","Train Loss: 0.0164 Acc.: 99.95 %\n","Val Loss: 1.0789 Acc.: 78.09 %\n","\n","Epoc 10/24\n","----------\n","Train Loss: 0.0171 Acc.: 99.89 %\n","Val Loss: 1.1283 Acc.: 77.60 %\n","\n","Epoc 11/24\n","----------\n","Train Loss: 0.0130 Acc.: 100.00 %\n","Val Loss: 1.0950 Acc.: 78.62 %\n","\n","Epoc 12/24\n","----------\n","Train Loss: 0.0124 Acc.: 99.89 %\n","Val Loss: 1.0616 Acc.: 78.98 %\n","\n","Epoc 13/24\n","----------\n","Train Loss: 0.0103 Acc.: 99.95 %\n","Val Loss: 0.9341 Acc.: 80.41 %\n","\n","Epoc 14/24\n","----------\n","Train Loss: 0.0086 Acc.: 100.00 %\n","Val Loss: 1.0090 Acc.: 79.51 %\n","\n","Epoc 15/24\n","----------\n","Train Loss: 0.0092 Acc.: 99.95 %\n","Val Loss: 0.9983 Acc.: 80.00 %\n","\n","Epoc 16/24\n","----------\n","Train Loss: 0.0073 Acc.: 100.00 %\n","Val Loss: 1.1116 Acc.: 79.19 %\n","\n","Epoc 17/24\n","----------\n","Train Loss: 0.0081 Acc.: 99.95 %\n","Val Loss: 1.0719 Acc.: 79.27 %\n","\n","Epoc 18/24\n","----------\n","Train Loss: 0.0071 Acc.: 99.95 %\n","Val Loss: 1.0820 Acc.: 79.19 %\n","\n","Epoc 19/24\n","----------\n","Train Loss: 0.0069 Acc.: 100.00 %\n","Val Loss: 1.0701 Acc.: 79.72 %\n","\n","Epoc 20/24\n","----------\n","Train Loss: 0.0067 Acc.: 100.00 %\n","Val Loss: 1.1269 Acc.: 78.90 %\n","\n","Epoc 21/24\n","----------\n","Train Loss: 0.0049 Acc.: 100.00 %\n","Val Loss: 1.0528 Acc.: 79.76 %\n","\n","Epoc 22/24\n","----------\n","Train Loss: 0.0038 Acc.: 100.00 %\n","Val Loss: 1.0979 Acc.: 79.55 %\n","\n","Epoc 23/24\n","----------\n","Train Loss: 0.0039 Acc.: 100.00 %\n","Val Loss: 1.1617 Acc.: 79.35 %\n","\n","Epoc 24/24\n","----------\n","Train Loss: 0.0041 Acc.: 100.00 %\n","Val Loss: 1.0371 Acc.: 79.84 %\n","\n","Training complete in 62m 46s\n","Best Accuracy: 80.41 %\n","CPU times: user 4min 35s, sys: 2min 49s, total: 7min 25s\n","Wall time: 1h 2min 45s\n"],"name":"stdout"}]},{"metadata":{"id":"Y_TzeEg8H4Cy","colab_type":"code","colab":{"autoexec":{"startup":false,"wait_interval":0},"base_uri":"https://localhost:8080/","height":69},"outputId":"26f28d7d-165d-4bf1-bdf6-28beea3eaef3","executionInfo":{"status":"ok","timestamp":1531232124940,"user_tz":-420,"elapsed":134217,"user":{"displayName":"Nithiroj Tripatarasit","photoUrl":"//lh4.googleusercontent.com/-sqbPfDxWHDw/AAAAAAAAAAI/AAAAAAAAGkQ/HR6P8X9hRKI/s50-c-k-no/photo.jpg","userId":"114076343904356883161"}}},"cell_type":"code","source":["%time test(model_ft)"],"execution_count":44,"outputs":[{"output_type":"stream","text":["Test Acc.: 88.38 %\n","CPU times: user 5.47 s, sys: 3.49 s, total: 8.96 s\n","Wall time: 2min 13s\n"],"name":"stdout"}]},{"metadata":{"id":"xaTx2wBaH4C5","colab_type":"text"},"cell_type":"markdown","source":["## As Fixed Feature Extractor"]},{"metadata":{"id":"v_XYorA0H4C7","colab_type":"code","colab":{"autoexec":{"startup":false,"wait_interval":0},"base_uri":"https://localhost:8080/","height":0},"outputId":"542807e2-c8a4-4705-be51-5441492aa999","executionInfo":{"status":"ok","timestamp":1531232435827,"user_tz":-420,"elapsed":1192,"user":{"displayName":"Nithiroj Tripatarasit","photoUrl":"//lh4.googleusercontent.com/-sqbPfDxWHDw/AAAAAAAAAAI/AAAAAAAAGkQ/HR6P8X9hRKI/s50-c-k-no/photo.jpg","userId":"114076343904356883161"}}},"cell_type":"code","source":["# Parameters of newly constructed modules have requires_grad=True by default\n","model_ff = torchvision.models.resnet18(pretrained=True)\n","for param in model_ff.parameters():\n","    param.requires_grad = False"],"execution_count":45,"outputs":[]},{"metadata":{"id":"lHaOXM9sH4C-","colab_type":"code","colab":{"autoexec":{"startup":false,"wait_interval":0},"base_uri":"https://localhost:8080/","height":0},"outputId":"eddf026a-7a96-4bc7-d409-75c76aa9534a","executionInfo":{"status":"ok","timestamp":1531232439481,"user_tz":-420,"elapsed":599,"user":{"displayName":"Nithiroj Tripatarasit","photoUrl":"//lh4.googleusercontent.com/-sqbPfDxWHDw/AAAAAAAAAAI/AAAAAAAAGkQ/HR6P8X9hRKI/s50-c-k-no/photo.jpg","userId":"114076343904356883161"}}},"cell_type":"code","source":["num_ftrs = model_ff.fc.in_features    \n","model_ff.fc = nn.Linear(num_ftrs, 33)\n","model_ff = model_ff.to(device)\n","criterion = nn.CrossEntropyLoss()\n","lr = 0.001\n","optimizer_ff = optim.SGD(model_ff.fc.parameters(), lr=lr, momentum=0.9)"],"execution_count":46,"outputs":[]},{"metadata":{"id":"Wp_i0CJ-H4DC","colab_type":"code","colab":{"autoexec":{"startup":false,"wait_interval":0},"base_uri":"https://localhost:8080/","height":2257},"outputId":"fb136919-109c-4e81-da11-40cc71d8c0b8","executionInfo":{"status":"ok","timestamp":1531236144328,"user_tz":-420,"elapsed":3701176,"user":{"displayName":"Nithiroj Tripatarasit","photoUrl":"//lh4.googleusercontent.com/-sqbPfDxWHDw/AAAAAAAAAAI/AAAAAAAAGkQ/HR6P8X9hRKI/s50-c-k-no/photo.jpg","userId":"114076343904356883161"}}},"cell_type":"code","source":["%time model_ff = train_val(model_ff, criterion, optimizer_ff)"],"execution_count":47,"outputs":[{"output_type":"stream","text":["Epoc 0/24\n","----------\n","Train Loss: 0.8671 Acc.: 81.92 %\n","Val Loss: 1.5354 Acc.: 63.50 %\n","\n","Epoc 1/24\n","----------\n","Train Loss: 0.6293 Acc.: 84.67 %\n","Val Loss: 1.3553 Acc.: 66.59 %\n","\n","Epoc 2/24\n","----------\n","Train Loss: 0.5285 Acc.: 87.58 %\n","Val Loss: 1.3209 Acc.: 68.94 %\n","\n","Epoc 3/24\n","----------\n","Train Loss: 0.4448 Acc.: 88.90 %\n","Val Loss: 1.3438 Acc.: 68.70 %\n","\n","Epoc 4/24\n","----------\n","Train Loss: 0.3922 Acc.: 91.32 %\n","Val Loss: 1.2299 Acc.: 71.50 %\n","\n","Epoc 5/24\n","----------\n","Train Loss: 0.3477 Acc.: 92.14 %\n","Val Loss: 1.2547 Acc.: 71.06 %\n","\n","Epoc 6/24\n","----------\n","Train Loss: 0.3122 Acc.: 93.24 %\n","Val Loss: 1.2390 Acc.: 72.15 %\n","\n","Epoc 7/24\n","----------\n","Train Loss: 0.2758 Acc.: 94.29 %\n","Val Loss: 1.2151 Acc.: 72.15 %\n","\n","Epoc 8/24\n","----------\n","Train Loss: 0.2559 Acc.: 95.27 %\n","Val Loss: 1.0731 Acc.: 72.97 %\n","\n","Epoc 9/24\n","----------\n","Train Loss: 0.2262 Acc.: 95.66 %\n","Val Loss: 1.1435 Acc.: 73.78 %\n","\n","Epoc 10/24\n","----------\n","Train Loss: 0.2214 Acc.: 95.49 %\n","Val Loss: 1.0761 Acc.: 73.21 %\n","\n","Epoc 11/24\n","----------\n","Train Loss: 0.2127 Acc.: 95.60 %\n","Val Loss: 1.1361 Acc.: 73.62 %\n","\n","Epoc 12/24\n","----------\n","Train Loss: 0.1887 Acc.: 96.21 %\n","Val Loss: 1.1380 Acc.: 73.86 %\n","\n","Epoc 13/24\n","----------\n","Train Loss: 0.1758 Acc.: 96.92 %\n","Val Loss: 1.1030 Acc.: 74.27 %\n","\n","Epoc 14/24\n","----------\n","Train Loss: 0.1640 Acc.: 96.76 %\n","Val Loss: 1.1187 Acc.: 74.11 %\n","\n","Epoc 15/24\n","----------\n","Train Loss: 0.1679 Acc.: 96.65 %\n","Val Loss: 1.1231 Acc.: 74.23 %\n","\n","Epoc 16/24\n","----------\n","Train Loss: 0.1487 Acc.: 97.42 %\n","Val Loss: 1.0830 Acc.: 74.63 %\n","\n","Epoc 17/24\n","----------\n","Train Loss: 0.1374 Acc.: 97.31 %\n","Val Loss: 1.1932 Acc.: 73.82 %\n","\n","Epoc 18/24\n","----------\n","Train Loss: 0.1375 Acc.: 97.64 %\n","Val Loss: 1.1201 Acc.: 74.43 %\n","\n","Epoc 19/24\n","----------\n","Train Loss: 0.1266 Acc.: 97.97 %\n","Val Loss: 1.1680 Acc.: 73.70 %\n","\n","Epoc 20/24\n","----------\n","Train Loss: 0.1252 Acc.: 97.42 %\n","Val Loss: 1.0858 Acc.: 74.63 %\n","\n","Epoc 21/24\n","----------\n","Train Loss: 0.1162 Acc.: 97.91 %\n","Val Loss: 1.1208 Acc.: 74.07 %\n","\n","Epoc 22/24\n","----------\n","Train Loss: 0.1038 Acc.: 98.24 %\n","Val Loss: 1.1563 Acc.: 73.78 %\n","\n","Epoc 23/24\n","----------\n","Train Loss: 0.1079 Acc.: 98.02 %\n","Val Loss: 1.1792 Acc.: 73.90 %\n","\n","Epoc 24/24\n","----------\n","Train Loss: 0.1177 Acc.: 98.02 %\n","Val Loss: 1.1880 Acc.: 74.23 %\n","\n","Training complete in 61m 42s\n","Best Accuracy: 74.63 %\n","CPU times: user 2min 41s, sys: 1min 37s, total: 4min 19s\n","Wall time: 1h 1min 41s\n"],"name":"stdout"}]},{"metadata":{"id":"cTLfUVodH4DH","colab_type":"code","colab":{"autoexec":{"startup":false,"wait_interval":0},"base_uri":"https://localhost:8080/","height":69},"outputId":"b8074ced-784d-4230-f344-57bab371b466","executionInfo":{"status":"ok","timestamp":1531236971454,"user_tz":-420,"elapsed":136342,"user":{"displayName":"Nithiroj Tripatarasit","photoUrl":"//lh4.googleusercontent.com/-sqbPfDxWHDw/AAAAAAAAAAI/AAAAAAAAGkQ/HR6P8X9hRKI/s50-c-k-no/photo.jpg","userId":"114076343904356883161"}}},"cell_type":"code","source":["%time test(model_ff)"],"execution_count":48,"outputs":[{"output_type":"stream","text":["Test Acc.: 84.39 %\n","CPU times: user 5.61 s, sys: 3.33 s, total: 8.94 s\n","Wall time: 2min 15s\n"],"name":"stdout"}]},{"metadata":{"id":"tOY1yM3eH4DP","colab_type":"code","colab":{"autoexec":{"startup":false,"wait_interval":0}}},"cell_type":"code","source":[""],"execution_count":0,"outputs":[]}]}