├── PyTorch-and-TransferLearning.ipynb └── README.md /PyTorch-and-TransferLearning.ipynb: -------------------------------------------------------------------------------- 1 | { 2 | "cells": [ 3 | { 4 | "cell_type": "code", 5 | "execution_count": 1, 6 | "metadata": { 7 | "collapsed": true 8 | }, 9 | "outputs": [], 10 | "source": [ 11 | "import torch\n", 12 | "import torchvision\n", 13 | "from torchvision import datasets,transforms, models\n", 14 | "import os\n", 15 | "import numpy as np\n", 16 | "import matplotlib.pyplot as plt\n", 17 | "from torch.autograd import Variable \n", 18 | "import time\n", 19 | "%matplotlib inline" 20 | ] 21 | }, 22 | { 23 | "cell_type": "markdown", 24 | "metadata": {}, 25 | "source": [ 26 | "数据载入" 27 | ] 28 | }, 29 | { 30 | "cell_type": "code", 31 | "execution_count": 2, 32 | "metadata": { 33 | "collapsed": true 34 | }, 35 | "outputs": [], 36 | "source": [ 37 | "path = \"dog_vs_cat\"\n", 38 | "transform = transforms.Compose([transforms.CenterCrop(224),\n", 39 | " transforms.ToTensor(),\n", 40 | " transforms.Normalize([0.5,0.5,0.5], [0.5,0.5,0.5])])\n", 41 | "\n", 42 | "data_image = {x:datasets.ImageFolder(root = os.path.join(path,x),\n", 43 | " transform = transform)\n", 44 | " for x in [\"train\", \"val\"]}\n", 45 | "\n", 46 | "data_loader_image = {x:torch.utils.data.DataLoader(dataset=data_image[x],\n", 47 | " batch_size = 4,\n", 48 | " shuffle = True)\n", 49 | " for x in [\"train\", \"val\"]}" 50 | ] 51 | }, 52 | { 53 | "cell_type": "code", 54 | "execution_count": 3, 55 | "metadata": { 56 | "collapsed": false 57 | }, 58 | "outputs": [ 59 | { 60 | "name": "stdout", 61 | "output_type": "stream", 62 | "text": [ 63 | "True\n" 64 | ] 65 | } 66 | ], 67 | "source": [ 68 | "use_gpu = torch.cuda.is_available()\n", 69 | "print(use_gpu)" 70 | ] 71 | }, 72 | { 73 | "cell_type": "markdown", 74 | "metadata": {}, 75 | "source": [ 76 | "查看训练数据的类别" 77 | ] 78 | }, 79 | { 80 | "cell_type": "code", 81 | "execution_count": 4, 82 | "metadata": { 83 | "collapsed": false 84 | }, 85 | "outputs": [ 86 | { 87 | "name": "stdout", 88 | "output_type": "stream", 89 | "text": [ 90 | "['cat', 'dog']\n", 91 | "{'cat': 0, 'dog': 1}\n" 92 | ] 93 | } 94 | ], 95 | "source": [ 96 | "classes = data_image[\"train\"].classes\n", 97 | "classes_index = data_image[\"train\"].class_to_idx\n", 98 | "print(classes)\n", 99 | "print(classes_index)" 100 | ] 101 | }, 102 | { 103 | "cell_type": "markdown", 104 | "metadata": {}, 105 | "source": [ 106 | "0代表的是猫 1代表的狗" 107 | ] 108 | }, 109 | { 110 | "cell_type": "markdown", 111 | "metadata": {}, 112 | "source": [ 113 | "数据集个数" 114 | ] 115 | }, 116 | { 117 | "cell_type": "code", 118 | "execution_count": 5, 119 | "metadata": { 120 | "collapsed": false 121 | }, 122 | "outputs": [ 123 | { 124 | "name": "stdout", 125 | "output_type": "stream", 126 | "text": [ 127 | "训练集个数: 20000\n", 128 | "验证集个数: 5000\n" 129 | ] 130 | } 131 | ], 132 | "source": [ 133 | "print(u\"训练集个数:\", len(data_image[\"train\"]))\n", 134 | "print(u\"验证集个数:\", len(data_image[\"val\"]))" 135 | ] 136 | }, 137 | { 138 | "cell_type": "markdown", 139 | "metadata": {}, 140 | "source": [ 141 | "预览训练集合" 142 | ] 143 | }, 144 | { 145 | "cell_type": "code", 146 | "execution_count": 6, 147 | "metadata": { 148 | "collapsed": false, 149 | "scrolled": true 150 | }, 151 | "outputs": [ 152 | { 153 | "name": "stdout", 154 | "output_type": "stream", 155 | "text": [ 156 | "['cat', 'cat', 'cat', 'cat']\n" 157 | ] 158 | }, 159 | { 160 | "data": { 161 | "text/plain": [ 162 | "" 163 | ] 164 | }, 165 | "execution_count": 6, 166 | "metadata": {}, 167 | "output_type": "execute_result" 168 | }, 169 | { 170 | "data": { 171 | "image/png": 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6jHDO4PC0bY33njDsztHvD6jrmjBQeGdQ+ruj7u+FRY/3/nHg8e/mN8LpzjLyDqEUjXUY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\nsGVFy9wQDQohsEZX1Aqui7EarQuuXLrEbHCzqv5XYHSJpRqLSZLg+hVzp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172 | "text/plain": [ 173 | "" 174 | ] 175 | }, 176 | "metadata": {}, 177 | "output_type": "display_data" 178 | } 179 | ], 180 | "source": [ 181 | "X_train, y_train = next(iter(data_loader_image[\"train\"]))\n", 182 | "mean = [0.5,0.5,0.5]\n", 183 | "std = [0.5,0.5,0.5]\n", 184 | "img = torchvision.utils.make_grid(X_train)\n", 185 | "img = img.numpy().transpose((1,2,0))\n", 186 | "img = img*std+mean\n", 187 | "\n", 188 | "print([classes[i] for i in y_train])\n", 189 | "plt.imshow(img)" 190 | ] 191 | }, 192 | { 193 | "cell_type": "code", 194 | "execution_count": 7, 195 | "metadata": { 196 | "collapsed": true 197 | }, 198 | "outputs": [], 199 | "source": [ 200 | "model = models.vgg16(pretrained=True)" 201 | ] 202 | }, 203 | { 204 | "cell_type": "code", 205 | "execution_count": 8, 206 | "metadata": { 207 | "collapsed": false 208 | }, 209 | "outputs": [ 210 | { 211 | "name": "stdout", 212 | "output_type": "stream", 213 | "text": [ 214 | "VGG (\n", 215 | " (features): Sequential (\n", 216 | " (0): Conv2d(3, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))\n", 217 | " (1): ReLU (inplace)\n", 218 | " (2): Conv2d(64, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))\n", 219 | " (3): ReLU (inplace)\n", 220 | " (4): MaxPool2d (size=(2, 2), stride=(2, 2), dilation=(1, 1))\n", 221 | " (5): Conv2d(64, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))\n", 222 | " (6): ReLU (inplace)\n", 223 | " (7): Conv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))\n", 224 | " (8): ReLU (inplace)\n", 225 | " (9): MaxPool2d (size=(2, 2), stride=(2, 2), dilation=(1, 1))\n", 226 | " (10): Conv2d(128, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))\n", 227 | " (11): ReLU (inplace)\n", 228 | " (12): Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))\n", 229 | " (13): ReLU (inplace)\n", 230 | " (14): Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))\n", 231 | " (15): ReLU (inplace)\n", 232 | " (16): MaxPool2d (size=(2, 2), stride=(2, 2), dilation=(1, 1))\n", 233 | " (17): Conv2d(256, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))\n", 234 | " (18): ReLU (inplace)\n", 235 | " (19): Conv2d(512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))\n", 236 | " (20): ReLU (inplace)\n", 237 | " (21): Conv2d(512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))\n", 238 | " (22): ReLU (inplace)\n", 239 | " (23): MaxPool2d (size=(2, 2), stride=(2, 2), dilation=(1, 1))\n", 240 | " (24): Conv2d(512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))\n", 241 | " (25): ReLU (inplace)\n", 242 | " (26): Conv2d(512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))\n", 243 | " (27): ReLU (inplace)\n", 244 | " (28): Conv2d(512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))\n", 245 | " (29): ReLU (inplace)\n", 246 | " (30): MaxPool2d (size=(2, 2), stride=(2, 2), dilation=(1, 1))\n", 247 | " )\n", 248 | " (classifier): Sequential (\n", 249 | " (0): Linear (25088 -> 4096)\n", 250 | " (1): ReLU (inplace)\n", 251 | " (2): Dropout (p = 0.5)\n", 252 | " (3): Linear (4096 -> 4096)\n", 253 | " (4): ReLU (inplace)\n", 254 | " (5): Dropout (p = 0.5)\n", 255 | " (6): Linear (4096 -> 1000)\n", 256 | " )\n", 257 | ")\n" 258 | ] 259 | } 260 | ], 261 | "source": [ 262 | "print(model)" 263 | ] 264 | }, 265 | { 266 | "cell_type": "code", 267 | "execution_count": 9, 268 | "metadata": { 269 | "collapsed": true 270 | }, 271 | "outputs": [], 272 | "source": [ 273 | "for parma in model.parameters():\n", 274 | " parma.requires_grad = False\n", 275 | "\n", 276 | "model.classifier = torch.nn.Sequential(torch.nn.Linear(25088, 4096),\n", 277 | " torch.nn.ReLU(),\n", 278 | " torch.nn.Dropout(p=0.5),\n", 279 | " torch.nn.Linear(4096, 4096),\n", 280 | " torch.nn.ReLU(),\n", 281 | " torch.nn.Dropout(p=0.5),\n", 282 | " torch.nn.Linear(4096, 2))\n", 283 | "\n", 284 | " \n", 285 | "if use_gpu:\n", 286 | " model = model.cuda()\n", 287 | "\n", 288 | "\n", 289 | "cost = torch.nn.CrossEntropyLoss()\n", 290 | "optimizer = torch.optim.Adam(model.classifier.parameters())" 291 | ] 292 | }, 293 | { 294 | "cell_type": "code", 295 | "execution_count": 10, 296 | "metadata": { 297 | "collapsed": false 298 | }, 299 | "outputs": [ 300 | { 301 | "name": "stdout", 302 | "output_type": "stream", 303 | "text": [ 304 | "VGG (\n", 305 | " (features): Sequential (\n", 306 | " (0): Conv2d(3, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))\n", 307 | " (1): ReLU (inplace)\n", 308 | " (2): Conv2d(64, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))\n", 309 | " (3): ReLU (inplace)\n", 310 | " (4): MaxPool2d (size=(2, 2), stride=(2, 2), dilation=(1, 1))\n", 311 | " (5): Conv2d(64, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))\n", 312 | " (6): ReLU (inplace)\n", 313 | " (7): Conv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))\n", 314 | " (8): ReLU (inplace)\n", 315 | " (9): MaxPool2d (size=(2, 2), stride=(2, 2), dilation=(1, 1))\n", 316 | " (10): Conv2d(128, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))\n", 317 | " (11): ReLU (inplace)\n", 318 | " (12): Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))\n", 319 | " (13): ReLU (inplace)\n", 320 | " (14): Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))\n", 321 | " (15): ReLU (inplace)\n", 322 | " (16): MaxPool2d (size=(2, 2), stride=(2, 2), dilation=(1, 1))\n", 323 | " (17): Conv2d(256, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))\n", 324 | " (18): ReLU (inplace)\n", 325 | " (19): Conv2d(512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))\n", 326 | " (20): ReLU (inplace)\n", 327 | " (21): Conv2d(512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))\n", 328 | " (22): ReLU (inplace)\n", 329 | " (23): MaxPool2d (size=(2, 2), stride=(2, 2), dilation=(1, 1))\n", 330 | " (24): Conv2d(512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))\n", 331 | " (25): ReLU (inplace)\n", 332 | " (26): Conv2d(512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))\n", 333 | " (27): ReLU (inplace)\n", 334 | " (28): Conv2d(512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))\n", 335 | " (29): ReLU (inplace)\n", 336 | " (30): MaxPool2d (size=(2, 2), stride=(2, 2), dilation=(1, 1))\n", 337 | " )\n", 338 | " (classifier): Sequential (\n", 339 | " (0): Linear (25088 -> 4096)\n", 340 | " (1): ReLU ()\n", 341 | " (2): Dropout (p = 0.5)\n", 342 | " (3): Linear (4096 -> 4096)\n", 343 | " (4): ReLU ()\n", 344 | " (5): Dropout (p = 0.5)\n", 345 | " (6): Linear (4096 -> 2)\n", 346 | " )\n", 347 | ")\n" 348 | ] 349 | } 350 | ], 351 | "source": [ 352 | "print(model)" 353 | ] 354 | }, 355 | { 356 | "cell_type": "code", 357 | "execution_count": 11, 358 | "metadata": { 359 | "collapsed": false 360 | }, 361 | "outputs": [ 362 | { 363 | "name": "stdout", 364 | "output_type": "stream", 365 | "text": [ 366 | "Epoch0/1\n", 367 | "----------\n", 368 | "Batch 500, Train Loss:0.8073, Train ACC:88.4500\n", 369 | "Batch 1000, Train Loss:1.0141, Train ACC:89.9500\n", 370 | "Batch 1500, Train Loss:0.8976, Train ACC:91.2333\n", 371 | "Batch 2000, Train Loss:0.8154, Train ACC:91.9500\n", 372 | "Batch 2500, Train Loss:0.7552, Train ACC:92.3500\n", 373 | "Batch 3000, Train Loss:0.6801, Train ACC:92.8083\n", 374 | "Batch 3500, Train Loss:0.6457, Train ACC:93.0500\n", 375 | "Batch 4000, Train Loss:0.6467, Train ACC:93.1875\n", 376 | "Batch 4500, Train Loss:0.6263, Train ACC:93.3722\n", 377 | "Batch 5000, Train Loss:0.5983, Train ACC:93.4950\n", 378 | "train Loss:0.5983, Correct93.4950\n", 379 | "val Loss:0.4096, Correct95.8400\n", 380 | "Training time is:32m 11s\n" 381 | ] 382 | } 383 | ], 384 | "source": [ 385 | "\n", 386 | "n_epochs = 1\n", 387 | "for epoch in range(n_epochs):\n", 388 | " since = time.time()\n", 389 | " print(\"Epoch{}/{}\".format(epoch, n_epochs))\n", 390 | " print(\"-\"*10)\n", 391 | " for param in [\"train\", \"val\"]:\n", 392 | " if param == \"train\":\n", 393 | " model.train = True\n", 394 | " else:\n", 395 | " model.train = False\n", 396 | "\n", 397 | " running_loss = 0.0\n", 398 | " running_correct = 0 \n", 399 | " batch = 0\n", 400 | " for data in data_loader_image[param]:\n", 401 | " batch += 1\n", 402 | " X, y = data\n", 403 | " if use_gpu:\n", 404 | " X, y = Variable(X.cuda()), Variable(y.cuda())\n", 405 | " else:\n", 406 | " X, y = Variable(X), Variable(y)\n", 407 | " \n", 408 | " optimizer.zero_grad()\n", 409 | " y_pred = model(X)\n", 410 | " _, pred = torch.max(y_pred.data, 1)\n", 411 | " \n", 412 | " loss = cost(y_pred, y)\n", 413 | " if param ==\"train\":\n", 414 | " loss.backward()\n", 415 | " optimizer.step()\n", 416 | " running_loss += loss.data[0]\n", 417 | " running_correct += torch.sum(pred == y.data)\n", 418 | " if batch%500 == 0 and param ==\"train\":\n", 419 | " print(\"Batch {}, Train Loss:{:.4f}, Train ACC:{:.4f}\".format(\n", 420 | " batch, running_loss/(4*batch), 100*running_correct/(4*batch)))\n", 421 | " \n", 422 | " epoch_loss = running_loss/len(data_image[param])\n", 423 | " epoch_correct = 100*running_correct/len(data_image[param])\n", 424 | "\n", 425 | " print(\"{} Loss:{:.4f}, Correct{:.4f}\".format(param, epoch_loss, epoch_correct))\n", 426 | " now_time = time.time() - since \n", 427 | " print(\"Training time is:{:.0f}m {:.0f}s\".format(now_time//60, now_time%60))" 428 | ] 429 | }, 430 | { 431 | "cell_type": "code", 432 | "execution_count": 12, 433 | "metadata": { 434 | "collapsed": true 435 | }, 436 | "outputs": [], 437 | "source": [ 438 | "torch.save(model.state_dict(), \"model_vgg16_finetune.pkl\")" 439 | ] 440 | }, 441 | { 442 | "cell_type": "code", 443 | "execution_count": 13, 444 | "metadata": { 445 | "collapsed": true 446 | }, 447 | "outputs": [], 448 | "source": [ 449 | "data_test_img = datasets.ImageFolder(root=\"test\",\n", 450 | " transform = transform)\n", 451 | "data_loader_test_img = torch.utils.data.DataLoader(dataset=data_test_img,\n", 452 | " batch_size = 16)" 453 | ] 454 | }, 455 | { 456 | "cell_type": "code", 457 | "execution_count": 14, 458 | "metadata": { 459 | "collapsed": false 460 | }, 461 | "outputs": [ 462 | { 463 | "name": "stdout", 464 | "output_type": "stream", 465 | "text": [ 466 | "\n", 467 | " 1\n", 468 | " 0\n", 469 | " 0\n", 470 | " 1\n", 471 | " 1\n", 472 | " 0\n", 473 | " 0\n", 474 | " 1\n", 475 | " 0\n", 476 | " 0\n", 477 | " 0\n", 478 | " 0\n", 479 | " 0\n", 480 | " 0\n", 481 | " 0\n", 482 | " 1\n", 483 | "[torch.cuda.LongTensor of size 16 (GPU 0)]\n", 484 | "\n" 485 | ] 486 | } 487 | ], 488 | "source": [ 489 | "image, label = next(iter(data_loader_test_img))\n", 490 | "images = Variable(image.cuda())\n", 491 | "y_pred = model(images)\n", 492 | "_, pred = torch.max(y_pred.data, 1)\n", 493 | "print(pred)" 494 | ] 495 | }, 496 | { 497 | "cell_type": "code", 498 | "execution_count": 15, 499 | "metadata": { 500 | "collapsed": false 501 | }, 502 | "outputs": [ 503 | { 504 | "name": "stdout", 505 | "output_type": "stream", 506 | "text": [ 507 | "Pred Label: ['dog', 'cat', 'cat', 'dog', 'dog', 'cat', 'cat', 'dog', 'cat', 'cat', 'cat', 'cat', 'cat', 'cat', 'cat', 'dog']\n" 508 | ] 509 | }, 510 | { 511 | "data": { 512 | "text/plain": [ 513 | "" 514 | ] 515 | }, 516 | "execution_count": 15, 517 | "metadata": {}, 518 | "output_type": "execute_result" 519 | }, 520 | { 521 | "data": { 522 | "image/png": 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cv36dUIiQTvXRqraodZpUTAu6PtXmOorc5tDBPUxMT3NtZg6zGzC7vEHakKmbJpWlAtuG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\ndY7uOcSgMUC5usFwboi7bn0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92KJcrRSjwCQhjxOyJAUyLFVHzHIqTpPh4ggQsBp13n/1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\n9Vv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523 | "text/plain": [ 524 | "" 525 | ] 526 | }, 527 | "metadata": {}, 528 | "output_type": "display_data" 529 | } 530 | ], 531 | "source": [ 532 | "img = torchvision.utils.make_grid(image)\n", 533 | "img = img.numpy().transpose(1,2,0)\n", 534 | "mean = [0.5,0.5,0.5]\n", 535 | "std = [0.5,0.5,0.5]\n", 536 | "img = img*std+mean\n", 537 | "print(\"Pred Label:\",[classes[i] for i in pred])\n", 538 | "plt.imshow(img)" 539 | ] 540 | }, 541 | { 542 | "cell_type": "code", 543 | "execution_count": null, 544 | "metadata": { 545 | "collapsed": true 546 | }, 547 | "outputs": [], 548 | "source": [] 549 | }, 550 | { 551 | "cell_type": "code", 552 | "execution_count": null, 553 | "metadata": { 554 | "collapsed": true 555 | }, 556 | "outputs": [], 557 | "source": [] 558 | } 559 | ], 560 | "metadata": { 561 | "kernelspec": { 562 | "display_name": "Python 2", 563 | "language": "python", 564 | "name": "python2" 565 | }, 566 | "language_info": { 567 | "codemirror_mode": { 568 | "name": "ipython", 569 | "version": 2 570 | }, 571 | "file_extension": ".py", 572 | "mimetype": "text/x-python", 573 | "name": "python", 574 | "nbconvert_exporter": "python", 575 | "pygments_lexer": "ipython2", 576 | "version": "2.7.13" 577 | } 578 | }, 579 | "nbformat": 4, 580 | "nbformat_minor": 2 581 | } 582 | -------------------------------------------------------------------------------- /README.md: -------------------------------------------------------------------------------- 1 | # PyTorch-and-TransferLearning 2 | # 前言: 3 | 4 | 什么是迁移学习(Transfer Learning)?简单的理解就是使用一些已经训练好的模型迁移到类似的新的问题进行使用,而不必对新问题重新建模,从头训练和优化参数。这些训练好的模型同时包含了优化好的参数,在使用的时候只需要做一些简单的调整就可以应用到新问题中了。 5 | 本文需要解决的问题使用了迁移过来的VGG16模型,本文最终会得到一个能对猫狗图片进行辨识的CNN(卷积神经网络),测试集用来验证我的模型是否能够很好的工作。 6 | --------------------------------------------------------------------------------