{ "cells": [ { "cell_type": "markdown", "metadata": { "deletable": true, "editable": true }, "source": [ "# Training and testing PhaseAwareNet V Net with Miracle DataBase" ] }, { "cell_type": "code", "execution_count": 1, "metadata": { "collapsed": false, "deletable": true, "editable": true }, "outputs": [], "source": [ "caffe_root = '../../' # this file should be run from {caffe_root}/examples/PhaseAware \n", "\n", "import sys\n", "import lmdb\n", "\n", "sys.path.insert(0, caffe_root + 'python')\n", "import caffe\n", "import os\n", "\n", "os.environ['CUDA_DEVICE_ORDER'] = 'PCI_BUS_ID'\n", "os.environ['CUDA_VISIBLE_DEVICES'] = '3'\n", "\n", "#caffe.set_device(1)\n", "caffe.set_mode_gpu()\n", "\n", "import numpy as np\n", "from pylab import *\n", "%matplotlib inline\n", "import tempfile\n", "\n", "sys.path.append(\"../pycaffe/layers\") # the datalayers we will use are in this directory.\n", "sys.path.append(\"../pycaffe\") # the tools file is in this folder\n", "\n", "import tools #this contains some tools that we need\n", "\n", "from __future__ import division\n", "\n", "from caffe import layers as L\n", "from caffe import params as P\n" ] }, { "cell_type": "markdown", "metadata": { "deletable": true, "editable": true }, "source": [ "define the PhaseAwareNet, VNet" ] }, { "cell_type": "code", "execution_count": 2, "metadata": { "collapsed": true, "deletable": true, "editable": true }, "outputs": [], "source": [ "def VahidNet( train=True, num_conv0_kernels=4, batch_size = 40, learn_conv0=False, moving_average_fraction = 0.98):\n", " \n", " # set conv0 leraning parameters\n", " if learn_conv0==False:\n", " param_conv0 = [dict(lr_mult=0, decay_mult=0)] * 2\n", " else:\n", " param_conv0 = [dict(lr_mult=1, decay_mult=0), dict(lr_mult=0, decay_mult=0)]\n", " \n", " param_bn = [dict(lr_mult=1, decay_mult=0), dict(lr_mult=1, decay_mult=0),\n", " dict(lr_mult=0, decay_mult=0), dict(lr_mult=0, decay_mult=0)]\n", " # define network model\n", " n = caffe.NetSpec()\n", " \n", " \n", " # Prepare the data source, using Mo's stego Aug data layer\n", " subset = 'train' if train else 'test'\n", " root = '/home/mchen/tmp/caffe/data/JStego/MiracleList/'\n", " params = dict( batch_size = batch_size, im_shape = [512, 512], split = subset, root = root )\n", "\n", " n.data, n.label = L.Python( module = 'AugStegoDataLayer', layer = 'AugmentDataLayerSync', \n", " ntop = 2, param_str = str( params ) )\n", " \n", " #n.data, n.label = L.Data(source=source, batch_size = batch_size, backend=1, ntop=2)\n", " \n", " n.conv0 = L.Convolution(n.data, kernel_size=5, stride=1, num_output=num_conv0_kernels, pad=2,\n", " param = param_conv0, \n", " weight_filler=dict(type='constant', value=0),\n", " bias_filler=dict(type='constant', value=0))\n", " \n", " n.conv1 = L.Convolution(n.conv0, kernel_size=5, stride=1, num_output=8, pad=2,\n", " param=[dict(lr_mult=1, decay_mult=0), dict(lr_mult=0, decay_mult=0)], \n", " weight_filler=dict(type='gaussian', std=0.01),\n", " bias_filler=dict(type='constant', value=0))\n", " \n", " n.abs1 = L.AbsVal(n.conv1)\n", " \n", " n.bn1 = L.BatchNorm(n.abs1, param=param_bn,\n", " scale_filler=dict(type='constant', value=1),\n", " bias_filler=dict(type='constant', value=0),\n", " moving_average_fraction = moving_average_fraction,\n", " eps=1e-4)\n", " \n", " n.tanh1 = L.TanH(n.bn1, in_place=True)\n", " \n", " n.conv2 = L.Convolution(n.bn1, kernel_size=5, stride=1, num_output=16, pad=2,\n", " param=[dict(lr_mult=1, decay_mult=0), dict(lr_mult=0, decay_mult=0)], \n", " weight_filler=dict(type='gaussian', std=0.01),\n", " bias_filler=dict(type='constant', value=0))\n", " \n", " n.bn2 = L.BatchNorm(n.conv2, param=param_bn,\n", " scale_filler=dict(type='constant', value=1),\n", " bias_filler=dict(type='constant', value=0),\n", " moving_average_fraction = moving_average_fraction,\n", " eps=1e-4)\n", " \n", " n.tanh2 = L.TanH(n.bn2, in_place=True)\n", " \n", " n.sbp = L.SplitByPhase(n.tanh2)\n", " \n", " n.conv3 = L.Convolution(n.sbp, kernel_size=1, stride=1, num_output=128, pad=0,\n", " param=[dict(lr_mult=1, decay_mult=0), dict(lr_mult=0, decay_mult=0)], \n", " weight_filler=dict(type='gaussian', std=0.01),\n", " bias_filler=dict(type='constant', value=0))\n", " \n", " n.bn3 = L.BatchNorm(n.conv3, param=param_bn,\n", " scale_filler=dict(type='constant', value=1),\n", " bias_filler=dict(type='constant', value=0),\n", " moving_average_fraction = moving_average_fraction,\n", " eps=1e-4)\n", " \n", " n.relu3 = L.ReLU(n.bn3, in_place=True)\n", " \n", " n.pool3 = L.Pooling(n.bn3, pool=P.Pooling.AVE, kernel_size=5, stride=2, pad=1)\n", " \n", " n.conv4 = L.Convolution(n.pool3, kernel_size=1, stride=1, num_output=256, pad=0,\n", " param=[dict(lr_mult=1, decay_mult=0), dict(lr_mult=0, decay_mult=0)], \n", " weight_filler=dict(type='gaussian', std=0.01),\n", " bias_filler=dict(type='constant', value=0))\n", " \n", " n.bn4 = L.BatchNorm(n.conv4, param=param_bn,\n", " scale_filler=dict(type='constant', value=1),\n", " bias_filler=dict(type='constant', value=0),\n", " moving_average_fraction = moving_average_fraction,\n", " eps=1e-4)\n", " \n", " n.relu4 = L.ReLU(n.bn4, in_place=True)\n", " \n", " n.pool4 = L.Pooling(n.bn4, pool=P.Pooling.AVE, kernel_size=5, stride=2, pad=1)\n", " \n", " n.conv5 = L.Convolution(n.pool4, kernel_size=1, stride=1, num_output=512, pad=0,\n", " param=[dict(lr_mult=1, decay_mult=0), dict(lr_mult=0, decay_mult=0)], \n", " weight_filler=dict(type='gaussian', std=0.01),\n", " bias_filler=dict(type='constant', value=0))\n", " \n", " n.bn5 = L.BatchNorm(n.conv5, param=param_bn,\n", " scale_filler=dict(type='constant', value=1),\n", " bias_filler=dict(type='constant', value=0),\n", " moving_average_fraction = moving_average_fraction,\n", " eps=1e-4)\n", " \n", " n.relu5 = L.ReLU(n.bn5, in_place=True)\n", " \n", " n.pool5 = L.Pooling(n.bn5, pool=P.Pooling.AVE, global_pooling=True)\n", " \n", " n.fc6 = L.InnerProduct(n.pool5, num_output=2, \n", " param=[dict(lr_mult=1, decay_mult=1), dict(lr_mult=2, decay_mult=0)],\n", " weight_filler=dict(type='xavier'),\n", " bias_filler=dict(type='constant', value=0.01))\n", " \n", " n.loss = L.SoftmaxWithLoss(n.fc6, n.label)\n", " \n", " n.acc = L.Accuracy(n.fc6, n.label)\n", " \n", " # write the net to a temporary file and return its filename\n", " with tempfile.NamedTemporaryFile(delete=False) as f:\n", " f.write(str(n.to_proto()))\n", " return f.name\n", " " ] }, { "cell_type": "markdown", "metadata": { "deletable": true, "editable": true }, "source": [ "Define the solver" ] }, { "cell_type": "code", "execution_count": 3, "metadata": { "collapsed": true, "deletable": true, "editable": true }, "outputs": [], "source": [ "from caffe.proto import caffe_pb2\n", "\n", "def solver(train_net_path, test_net_path=None, base_lr=0.001, weight_decay = 0.01):\n", " s = caffe_pb2.SolverParameter()\n", "\n", " # Specify locations of the train and (maybe) test networks.\n", " s.train_net = train_net_path\n", " if test_net_path is not None:\n", " s.test_net.append(test_net_path)\n", " s.test_interval = 1000000 # Test after every 1000 training iterations.\n", " s.test_iter.append(1) # Test on 100 batches each time we test.\n", "\n", " # The number of iterations over which to average the gradient.\n", " # Effectively boosts the training batch size by the given factor, without\n", " # affecting memory utilization.\n", " s.iter_size = 1\n", " \n", " s.max_iter = 1000000 # # of times to update the net (training iterations)\n", " \n", " # Solve using the stochastic gradient descent (SGD) algorithm.\n", " # Other choices include 'Adam' and 'RMSProp'.\n", " s.type = 'SGD'\n", "\n", " # Set the initial learning rate for SGD.\n", " s.base_lr = base_lr\n", "\n", " # Set `lr_policy` to define how the learning rate changes during training.\n", " # Here, we 'step' the learning rate by multiplying it by a factor `gamma`\n", " # every `stepsize` iterations.\n", " s.lr_policy = 'step'\n", " s.gamma = 0.75 \n", " s.stepsize = 15000 #Every 20 epoch\n", "\n", " # Set other SGD hyperparameters. Setting a non-zero `momentum` takes a\n", " # weighted average of the current gradient and previous gradients to make\n", " # learning more stable. L2 weight decay regularizes learning, to help prevent\n", " # the model from overfitting.\n", " s.momentum = 0.9\n", " s.weight_decay = weight_decay\n", "\n", " # Display the current training loss and accuracy every 1000 iterations.\n", " s.display = 10\n", "\n", " # Snapshots are files used to store networks we've trained. Here, we'll\n", " # snapshot every 10K iterations -- ten times during training.\n", " s.snapshot = 6000\n", " #s.snapshot_prefix = '/home/dde/Desktop/JpegTraningSnapshots/Vnet_BOSS_JUNI_04_QF75_KVM_lr1em3_wd5em4_120ep_NoSBP'\n", " s.snapshot_prefix = '/home/mchen/tmp/caffe/examples/PhaseAwareNet/VahidNet'\n", " \n", " # Train on the GPU. Using the CPU to train large networks is very slow.\n", " s.solver_mode = caffe_pb2.SolverParameter.GPU\n", " \n", " # Write the solver to a temporary file and return its filename.\n", " with tempfile.NamedTemporaryFile(delete=False) as f:\n", " f.write(str(s))\n", " return f.name" ] }, { "cell_type": "code", "execution_count": 4, "metadata": { "collapsed": false, "deletable": true, "editable": true }, "outputs": [], "source": [ "def run_solver(niter, solver, disp_interval=10):\n", " \n", " blobs = ('loss', 'acc')\n", " loss, acc = ({name: np.zeros(niter) for name, _ in solvers}\n", " for _ in blobs)\n", " for it in range(niter):\n", " for name, s in solvers:\n", " s.step(1) # run a single SGD step in Caffe\n", " loss[name][it], acc[name][it] = (s.net.blobs[b].data.copy() for b in blobs)\n", " if it % disp_interval == 0 or it + 1 == niter:\n", " if len(s.test_nets):\n", " test_output = s.test_nets[0].forward()\n", " test_acc = test_output['acc']\n", " test_loss = test_output['loss']\n", " else:\n", " test_acc = 0\n", " \n", " test_loss = 0\n", " #print test_acc\n", " n = 'stego'\n", " loss_disp = '%s: train_loss=%.3f, train_acc=%2d%%, test_loss=%.3f, test_acc=%2d%%' % (n, loss[n][it], np.round(100*acc[n][it]), test_loss, np.round(100*test_acc))\n", " #loss_disp = '; '.join('%s: loss=%.3f, train_acc=%2d%%, test_acc=%2d%%' %\n", " # (n, loss[n][it], np.round(100*acc[n][it]), test_acc)\n", " # for n, _ in solvers)\n", " print '%3d) %s' % (it, loss_disp) \n", " # Save the learned weights from both nets.\n", " weight_dir = tempfile.mkdtemp()\n", " weights = {}\n", " for name, s in solvers:\n", " filename = 'weights.%s.caffemodel' % name\n", " weights[name] = os.path.join(weight_dir, filename)\n", " s.net.save(weights[name])\n", " return loss, acc, weights" ] }, { "cell_type": "code", "execution_count": 5, "metadata": { "collapsed": false, "deletable": true, "editable": true }, "outputs": [], "source": [ "def get_vahidnet_solver(model=None, base_lr=1e-3, weight_decay=0.01,\n", " num_conv0_kernels=4, learn_conv0=False, moving_average_fraction=0.95):\n", " KV = np.array([[-1,2,-2,2,-1],[2,-6,8,-6,2],[-2,8,-12,8,-2],[2,-6,8,-6,2],[-1,2,-2,2,-1]], dtype=np.float32)/12\n", " KM = np.array([[0,0,5.2,0,0],[0,23.4,36.4,23.4,0],[5.2,36.4,-261,36.4,5.2],[0,23.4,36.4,23.4,0],[0,0,5.2,0,0]], dtype=np.float32)/261\n", " GH = np.array([[0.0562,-0.1354,0,0.1354,-0.0562],[0.0818,-0.1970,0,0.1970,-0.0818],[0.0926,-0.2233,0,0.2233,-0.0926],[0.0818,-0.1970,0,0.1970,-0.0818],[0.0562,-0.1354,0,0.1354,-0.0562]], dtype=np.float32)\n", " GV = np.fliplr(GH).T.copy()\n", " \n", " assert(num_conv0_kernels>0 and num_conv0_kernels<5)\n", " \n", " trn_net = VahidNet(True, num_conv0_kernels=num_conv0_kernels,\n", " learn_conv0=learn_conv0, moving_average_fraction = moving_average_fraction)\n", " \n", " val_net = VahidNet(False, num_conv0_kernels=num_conv0_kernels,\n", " learn_conv0=learn_conv0, moving_average_fraction = moving_average_fraction)\n", " \n", " solver_path = solver(trn_net, val_net, base_lr=base_lr, weight_decay=weight_decay)\n", " \n", " shisnet_solver = caffe.get_solver(solver_path)\n", " \n", " if model != None:\n", " shisnet_solver.net.copy_from(model)\n", " else:\n", " if learn_conv0:\n", " for k in xrange(num_conv0_kernels):\n", " norm_const = np.delete(shisnet_solver.net.params['conv0'][0].data[k,0,:,:].flatten(), 12).sum()\n", " shisnet_solver.net.params['conv0'][0].data[k,0,:,:] /= norm_const\n", " shisnet_solver.net.params['conv0'][0].data[k,0,2,2] = -1\n", " else:\n", " if num_conv0_kernels>0:\n", " shisnet_solver.net.params['conv0'][0].data[0] = KV\n", " if num_conv0_kernels>1:\n", " shisnet_solver.net.params['conv0'][0].data[1] = KM\n", " if num_conv0_kernels>2:\n", " shisnet_solver.net.params['conv0'][0].data[2] = GH\n", " if num_conv0_kernels>3:\n", " shisnet_solver.net.params['conv0'][0].data[3] = GV\n", " \n", " return shisnet_solver" ] }, { "cell_type": "markdown", "metadata": { "deletable": true, "editable": true }, "source": [ "Train the Vahid Net" ] }, { "cell_type": "code", "execution_count": 6, "metadata": { "collapsed": false, "deletable": true, "editable": true }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "BatchLoader initialized with 30000 images\n", "AugmentStegoDataLayerSync initialized for split: train, with bs: 40, im_shape: [512, 512].\n", "BatchLoader initialized with 10000 images\n", "AugmentStegoDataLayerSync initialized for split: test, with bs: 40, im_shape: [512, 512].\n", "Running solvers for 150000 iterations...\n", " 0) stego: train_loss=0.707, train_acc=50%, test_loss=0.830, test_acc=50%\n", " 10) stego: train_loss=0.694, train_acc=50%, test_loss=0.709, test_acc=50%\n", " 20) stego: train_loss=0.693, train_acc=52%, test_loss=0.706, test_acc=50%\n", " 30) stego: train_loss=0.688, train_acc=50%, test_loss=0.695, test_acc=55%\n", " 40) stego: train_loss=0.685, train_acc=52%, test_loss=0.685, test_acc=52%\n", " 50) stego: 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train_loss=0.112, train_acc=98%, test_loss=0.439, test_acc=93%\n", "149890) stego: train_loss=0.246, train_acc=93%, test_loss=0.082, test_acc=95%\n", "149900) stego: train_loss=0.132, train_acc=93%, test_loss=0.298, test_acc=88%\n", "149910) stego: train_loss=0.060, train_acc=98%, test_loss=0.156, test_acc=93%\n", "149920) stego: train_loss=0.029, train_acc=100%, test_loss=0.078, test_acc=100%\n", "149930) stego: train_loss=0.114, train_acc=95%, test_loss=0.071, test_acc=100%\n", "149940) stego: train_loss=0.052, train_acc=98%, test_loss=0.111, test_acc=95%\n", "149950) stego: train_loss=0.061, train_acc=100%, test_loss=0.218, test_acc=93%\n", "149960) stego: train_loss=0.068, train_acc=98%, test_loss=0.080, test_acc=98%\n", "149970) stego: train_loss=0.028, train_acc=100%, test_loss=0.081, test_acc=98%\n", "149980) stego: train_loss=0.118, train_acc=95%, test_loss=0.383, test_acc=85%\n", "149990) stego: train_loss=0.051, train_acc=98%, test_loss=0.165, test_acc=90%\n", "149999) stego: train_loss=0.056, train_acc=100%, test_loss=0.142, test_acc=93%\n", "Done.\n" ] } ], "source": [ "niter = 150000 # 200 epochs\n", "\n", "\n", "#model = 'JPGSteganalysis_KM_NVC_40000iter_wd5e3.caffemodel'\n", "model = None\n", "\n", "base_lr = 0.001\n", "weight_decay = 1e-2\n", "\n", "num_conv0_kernels = 4\n", "learn_conv0 = False\n", "moving_average_fraction = 0\n", "\n", "vahid_net_solver = get_vahidnet_solver( model=model, base_lr=base_lr, weight_decay=weight_decay,\n", " num_conv0_kernels=num_conv0_kernels, learn_conv0=learn_conv0, \n", " moving_average_fraction=moving_average_fraction)\n", "\n", "print 'Running solvers for %d iterations...' % niter\n", "solvers = [('stego', vahid_net_solver)] \n", "loss, acc, weights = run_solver(niter, solvers)\n", "print 'Done.'\n", "\n", "train_loss = loss['stego']\n", "train_acc = acc['stego']\n", "stego_weights = weights['stego']\n", "\n", "# Delete solvers to save memory.\n", "del vahid_net_solver, solvers" ] }, { "cell_type": "code", "execution_count": 7, "metadata": { "collapsed": false, "deletable": true, "editable": true }, "outputs": [], "source": [ "# !cp {\"%s\" % stego_weights} JPGSteganalysis_Vnet_BOSS_UED_02_QF95_KVMGHV_lr1em3g085ep10k_wd1em2_300k_bs40_MAF095_S_OrigCS.caffemodel\n", "!cp {\"%s\" % stego_weights} VahidNet_JUNI_04_Miracle_Aug.caffemodel" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "collapsed": false, "deletable": true, "editable": true }, "outputs": [], "source": [ "plt.plot(train_loss)" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "collapsed": false, "deletable": true, "editable": true }, "outputs": [], "source": [ "plt.plot(train_acc)" ] }, { "cell_type": "code", "execution_count": 8, "metadata": { "collapsed": false, "deletable": true, "editable": true }, "outputs": [], "source": [ "# update_progress() : Displays or updates a console progress bar\n", "## Accepts a float between 0 and 1. Any int will be converted to a float.\n", "## A value under 0 represents a 'halt'.\n", "## A value at 1 or bigger represents 100%\n", "def update_progress(progress):\n", " barLength = 10 # Modify this to change the length of the progress bar\n", " status = \"\"\n", " if isinstance(progress, int):\n", " progress = float(progress)\n", " if not isinstance(progress, float):\n", " progress = 0\n", " status = \"error: progress var must be float\\r\\n\"\n", " if progress < 0:\n", " progress = 0\n", " status = \"Halt...\\r\\n\"\n", " if progress >= 1:\n", " progress = 1\n", " status = \"Done...\\r\\n\"\n", " block = int(round(barLength*progress))\n", " text = \"\\rPercent: [{0}] {1}% {2}\".format( \"#\"*block + \"-\"*(barLength-block), progress*100, status)\n", " sys.stdout.write(text)\n", " sys.stdout.flush()" ] }, { "cell_type": "code", "execution_count": 9, "metadata": { "collapsed": true, "deletable": true, "editable": true }, "outputs": [], "source": [ "def compute_refinement_moments (net, collection_iters = 2000):\n", " bn1 = {}\n", " bn1['mean'] = np.zeros((collection_iters, net.params['bn1'][2].data.shape[1]))\n", " bn1['var'] = np.zeros((collection_iters, net.params['bn1'][2].data.shape[1]))\n", " bn1['ma_mean'] = np.squeeze(net.params['bn1'][2].data).copy()\n", " bn1['ma_var'] = np.squeeze(net.params['bn1'][3].data).copy()\n", "\n", " bn2 = {}\n", " bn2['mean'] = np.zeros((collection_iters, net.params['bn2'][2].data.shape[1]))\n", " bn2['var'] = np.zeros((collection_iters, net.params['bn2'][2].data.shape[1]))\n", " bn2['ma_mean'] = np.squeeze(net.params['bn2'][2].data).copy()\n", " bn2['ma_var'] = np.squeeze(net.params['bn2'][3].data).copy()\n", "\n", " bn3 = {}\n", " bn3['mean'] = np.zeros((collection_iters, net.params['bn3'][2].data.shape[1]))\n", " bn3['var'] = np.zeros((collection_iters, net.params['bn3'][2].data.shape[1]))\n", " bn3['ma_mean'] = np.squeeze(net.params['bn3'][2].data).copy()\n", " bn3['ma_var'] = np.squeeze(net.params['bn3'][3].data).copy()\n", "\n", " bn4 = {}\n", " bn4['mean'] = np.zeros((collection_iters, net.params['bn4'][2].data.shape[1]))\n", " bn4['var'] = np.zeros((collection_iters, net.params['bn4'][2].data.shape[1]))\n", " bn4['ma_mean'] = np.squeeze(net.params['bn4'][2].data).copy()\n", " bn4['ma_var'] = np.squeeze(net.params['bn4'][3].data).copy()\n", "\n", " bn5 = {}\n", " bn5['mean'] = np.zeros((collection_iters, net.params['bn5'][2].data.shape[1]))\n", " bn5['var'] = np.zeros((collection_iters, net.params['bn5'][2].data.shape[1]))\n", " bn5['ma_mean'] = np.squeeze(net.params['bn5'][2].data).copy()\n", " bn5['ma_var'] = np.squeeze(net.params['bn5'][3].data).copy()\n", "\n", " for it in xrange(collection_iters):\n", " net.forward()\n", "\n", " bn1['mean'][it, :] = np.squeeze(net.params['bn1'][2].data).copy()\n", " bn1['var'][it, :] = np.squeeze(net.params['bn1'][3].data).copy()\n", "\n", " bn2['mean'][it, :] = np.squeeze(net.params['bn2'][2].data).copy()\n", " bn2['var'][it, :] = np.squeeze(net.params['bn2'][3].data).copy()\n", "\n", " bn3['mean'][it, :] = np.squeeze(net.params['bn3'][2].data).copy()\n", " bn3['var'][it, :] = np.squeeze(net.params['bn3'][3].data).copy()\n", "\n", " bn4['mean'][it, :] = np.squeeze(net.params['bn4'][2].data).copy()\n", " bn4['var'][it, :] = np.squeeze(net.params['bn4'][3].data).copy()\n", "\n", " bn5['mean'][it, :] = np.squeeze(net.params['bn5'][2].data).copy()\n", " bn5['var'][it, :] = np.squeeze(net.params['bn5'][3].data).copy()\n", "\n", " update_progress((it+1)/collection_iters)\n", "\n", " bn1['rf_mean'] = np.median(bn1['mean'], axis=0)\n", " bn1['rf_var'] = np.median(bn1['var'], axis=0)\n", "\n", " bn2['rf_mean'] = np.median(bn2['mean'], axis=0)\n", " bn2['rf_var'] = np.median(bn2['var'], axis=0)\n", "\n", " bn3['rf_mean'] = np.median(bn3['mean'], axis=0)\n", " bn3['rf_var'] = np.median(bn3['var'], axis=0)\n", "\n", " bn4['rf_mean'] = np.median(bn4['mean'], axis=0)\n", " bn4['rf_var'] = np.median(bn4['var'], axis=0)\n", "\n", " bn5['rf_mean'] = np.median(bn5['mean'], axis=0)\n", " bn5['rf_var'] = np.median(bn5['var'], axis=0)\n", " return bn1, bn2, bn3, bn4, bn5" ] }, { "cell_type": "code", "execution_count": 10, "metadata": { "collapsed": true, "deletable": true, "editable": true }, "outputs": [], "source": [ "def embed_refinement_moments(net, bn1, bn2, bn3, bn4, bn5):\n", " net.params['bn1'][2].data[0,:,0,0] = bn1['rf_mean'].copy()\n", " net.params['bn1'][3].data[0,:,0,0] = bn1['rf_var'].copy()\n", "\n", " net.params['bn2'][2].data[0,:,0,0] = bn2['rf_mean'].copy()\n", " net.params['bn2'][3].data[0,:,0,0] = bn2['rf_var'].copy()\n", "\n", " net.params['bn3'][2].data[0,:,0,0] = bn3['rf_mean'].copy()\n", " net.params['bn3'][3].data[0,:,0,0] = bn3['rf_var'].copy()\n", "\n", " net.params['bn4'][2].data[0,:,0,0] = bn4['rf_mean'].copy()\n", " net.params['bn4'][3].data[0,:,0,0] = bn4['rf_var'].copy()\n", "\n", " net.params['bn5'][2].data[0,:,0,0] = bn5['rf_mean'].copy()\n", " net.params['bn5'][3].data[0,:,0,0] = bn5['rf_var'].copy() " ] }, { "cell_type": "code", "execution_count": 11, "metadata": { "collapsed": false, "deletable": true, "editable": true }, "outputs": [], "source": [ "def eval_stego_net( weights, test_iters=None, refine_bn=True):\n", " \n", " if refine_bn:\n", " net = VahidNet( True, batch_size = 64, moving_average_fraction = 0)\n", " net = caffe.Net(net, weights, caffe.TRAIN)\n", " bn1, bn2, bn3, bn4, bn5 = compute_refinement_moments(net, collection_iters = 3000)\n", " del net\n", " \n", " net = VahidNet(False)\n", " \n", " test_net = caffe.Net(net, weights, caffe.TEST)\n", " \n", " if refine_bn:\n", " embed_refinement_moments(test_net, bn1, bn2, bn3, bn4, bn5)\n", " \n", " batch_size = test_net.blobs['data'].shape[0]\n", " num_entries = 8000\n", " if test_iters==None:\n", " test_iters = int(np.floor(num_entries/batch_size))\n", " \n", " print 'Number of test samples: ', num_entries\n", " print 'Testing for %d iterations using batch size %d...' % (test_iters, batch_size)\n", " \n", " accuracy = 0\n", " for it in xrange(test_iters):\n", " accuracy += test_net.forward()['acc']\n", " update_progress((it+1)/test_iters)\n", " accuracy /= test_iters\n", " del test_net\n", " \n", " return accuracy" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "collapsed": false, "deletable": true, "editable": true }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "BatchLoader initialized with 30000 images\n", "AugmentStegoDataLayerSync initialized for split: train, with bs: 64, im_shape: [512, 512].\n", "Percent: [##########] 100% Done...7% \n", "BatchLoader initialized with 10000 images\n", "AugmentStegoDataLayerSync initialized for split: test, with bs: 40, im_shape: [512, 512].\n", "Number of test samples: 8000\n", "Testing for 200 iterations using batch size 40...\n", "Percent: [##########] 96.0% " ] } ], "source": [ "weights = 'VahidNet_JUNI_04_Miracle_Aug.caffemodel'\n", "\n", "accuracy = eval_stego_net( weights, refine_bn=True)\n", "\n", "print 'Accuracy: ', accuracy" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "collapsed": false, "deletable": true, "editable": true }, "outputs": [], "source": [ "# Keep training\n", "\n", "niter = 12000 # number of iterations to train 40000\n", "\n", "model = 'VahidNet_JUNI_04_AUG.caffemodel'\n", "\n", "base_lr = 0.001\n", "\n", "# Bring down the base_lr to be last one\n", "for i in range(72000//6000 + 1):\n", " base_lr = base_lr * 0.75\n", "\n", "num_conv0_kernels = 4\n", "learn_conv0 = False\n", "moving_average_fraction = 0\n", "\n", "vahid_net_solver, num_trn_entries, num_val_entries = get_vahidnet_solver(\n", " trn_source=trn_source, val_source=val_source, model=model, \n", " base_lr=base_lr, weight_decay=weight_decay,\n", " num_conv0_kernels=num_conv0_kernels, learn_conv0=learn_conv0, \n", " moving_average_fraction=moving_average_fraction)\n", "\n", "print 'Running solvers for %d iterations...' % niter\n", "solvers = [('stego', vahid_net_solver)] \n", "loss, acc, weights = run_solver(niter, solvers)\n", "print 'Done.'\n", "\n", "train_loss = loss['stego']\n", "train_acc = acc['stego']\n", "stego_weights = weights['stego']\n", "\n", "# Delete solvers to save memory.\n", "del vahid_net_solver, solvers" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "collapsed": false, "deletable": true, "editable": true }, "outputs": [], "source": [ "!cp {\"%s\" % stego_weights} VahidNet_JUNI_04_AUG_more.caffemodel" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "collapsed": false, "deletable": true, "editable": true }, "outputs": [], "source": [ "TRN_Source = '/home/mchen/tmp/caffe/examples/StegoLibrary/JUNI_04_AUG/JUNI_0.4_trn_lmdb'\n", "TST_Source = '/home/mchen/tmp/caffe/examples/StegoLibrary/JUNI_04_AUG/JUNI_0.4_val_lmdb'\n", "\n", "weights = 'VahidNet_JUNI_04_AUG_more.caffemodel'\n", "\n", "accuracy = eval_stego_net( TRN_Source, TST_Source, weights, refine_bn=True)\n", "\n", "print 'Accuracy: ', accuracy" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "collapsed": true, "deletable": true, "editable": true }, "outputs": [], "source": [] } ], "metadata": { "description": "Define, train, and test the classic LeNet with the Python interface.", "example_name": "Learning LeNet", "include_in_docs": true, "kernelspec": { "display_name": "Python 2", "language": "python", "name": "python2" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 2 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython2", "version": "2.7.6" }, "priority": 2 }, "nbformat": 4, "nbformat_minor": 0 }