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Example of Caffe2 fine-tuning
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{
"cells": [
{
"cell_type": "markdown",
"metadata": {
"collapsed": true
},
"source": [
"# Fine-tuning ImageNet model for Dogs and Cats categorization\n",
"\n",
"This tutorial shows how to fine-tune a pre-trained SqueezeNet model for the dogs and cats categorization in GPU using Caffe2 framework."
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Prerequisite\n",
"\n",
"This notebook assumes nvidia-docker environment. Install `nvidia-docker` in a GPU host. Launch `caffe2ai/caffe2` instance to run this notebook.\n",
"\n",
"```bash\n",
"nvidia-docker run -it --rm -p 8888:8888 caffe2ai/caffe2:c2v0.8.1.cuda8.cudnn7.ubuntu16.04 \\\n",
" jupyter notebook --no-browser --ip \"*\" --allow-root\n",
"```"
]
},
{
"cell_type": "markdown",
"metadata": {
"collapsed": true
},
"source": [
"## Getting dogs-vs-cats dataset\n",
"\n",
"We use the dog-vs-cats dataset from Kaggle. Create a Kaggle account, login, and download the dataset from the following URL:\n",
"\n",
"https://www.kaggle.com/c/dogs-vs-cats/data\n",
"\n",
"Once downloaded the dataset, unarchive the files and organize data in the following location.\n",
"\n",
"```\n",
"mkdir dogs-vs-cats/\n",
"unzip train.zip -d dogs-vs-cats/\n",
"unzip test1.zip -d dogs-vs-cats/\n",
"rm train.zip test1.zip\n",
"```"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Prepare pre-trained model\n",
"\n",
"Caffe2 v0.8.1 has a bug in model download module. Fix the code and get SqueezeNet as follows.\n",
"\n",
"```\n",
"sed -i \"s,s3.amazonaws.com/caffe2/,s3.amazonaws.com/download.caffe2.ai/,\" \\\n",
" /usr/local/caffe2/python/models/download.py\n",
"python -m caffe2.python.models.download -i squeezenet\n",
"```"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Data pre-processing\n",
"\n",
"The following code transforms an image to the desired input format for SqueezeNet."
]
},
{
"cell_type": "code",
"execution_count": 1,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"import numpy as np\n",
"import skimage.io\n",
"import skimage.transform\n",
"\n",
"def rescale(img, input_height, input_width):\n",
" aspect = img.shape[1] / float(img.shape[0])\n",
" if aspect > 1:\n",
" return skimage.transform.resize(img, (input_width, int(aspect * input_height)))\n",
" elif aspect < 1:\n",
" return skimage.transform.resize(img, (int(input_width/aspect), input_height))\n",
" else:\n",
" return skimage.transform.resize(img, (input_width, input_height))\n",
"\n",
"def crop_center(img, cropx, cropy):\n",
" y, x, c = img.shape\n",
" startx = x // 2 - (cropx // 2)\n",
" starty = y // 2 - (cropy // 2)\n",
" return img[starty:starty+cropy, startx:startx+cropx]\n",
"\n",
"def prepare_image(img_path):\n",
" img = skimage.io.imread(img_path)\n",
" img = skimage.img_as_float(img)\n",
" img = rescale(img, 227, 227)\n",
" img = crop_center(img, 227, 227)\n",
" img = img.swapaxes(1, 2).swapaxes(0, 1) # HWC to CHW dimension\n",
" img = img[(2, 1, 0), :, :] # RGB to BGR color order\n",
" img = img * 255 - 128 # Subtract mean = 128\n",
" return img.astype(np.float32)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Dataset loader\n",
"\n",
"During training, we will use the following object to read batches of image and label pairs."
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"import os, glob, random\n",
"\n",
"def make_batch(iterable, batch_size=1):\n",
" length = len(iterable)\n",
" for index in range(0, length, batch_size):\n",
" yield iterable[index:min(index + batch_size, length)]\n",
" \n",
"class DogsCatsDataset(object):\n",
" \"\"\" Dogs and cats dataset reader \"\"\"\n",
" def __init__(self, split=\"train\", data_dir=\"dogs-vs-cats/\"):\n",
" self.categories = {\"dog\": 0, \"cat\": 1}\n",
" self.image_files = list(glob.glob(os.path.join(data_dir, split, \"*.jpg\")))\n",
" self.labels = [self.categories.get(os.path.basename(path).strip().split(\".\")[0], -1)\n",
" for path in self.image_files]\n",
" \n",
" def __getitem__(self, index):\n",
" image = prepare_image(self.image_files[index])\n",
" label = self.labels[index]\n",
" return image, label\n",
" \n",
" def __len__(self):\n",
" return len(self.labels)\n",
" \n",
" def read(self, batch_size=50, shuffle=True):\n",
" \"\"\"Read (image, label) pairs in batch\"\"\"\n",
" order = list(range(len(self)))\n",
" if shuffle:\n",
" random.shuffle(order)\n",
" for batch in make_batch(order, batch_size):\n",
" images, labels = [], []\n",
" for index in batch:\n",
" image, label = self[index]\n",
" images.append(image)\n",
" labels.append(label)\n",
" yield np.stack(images).astype(np.float32), np.stack(labels).astype(np.int32).reshape((batch_size,))"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Model construction\n",
"\n",
"In the following, we will modify SqueezeNet structure so that we can apply the pre-trained model to dogs-vs-cats categorization problem. We do not really need to change the kind of operators in the prediction module but need to change how to initialize model parameters as well as the output shape. In Caffe2, net definition is given in the protocol buffer. We can directly modify the protocol buffer and add any other necessary operators using model_helper.\n",
"\n",
"The basic steps are:\n",
"\n",
"1. Load predict_net.\n",
"2. Load init_net, add them to the model parameter list, and replace how to initialize the parameters.\n",
"3. Add any training operators such as gradients and optimizers."
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {
"collapsed": true,
"scrolled": true
},
"outputs": [],
"source": [
"from caffe2.python import core, workspace, model_helper, optimizer, brew\n",
"from caffe2.python.modeling import initializers\n",
"from caffe2.python.modeling.parameter_info import ParameterTags\n",
"from caffe2.proto import caffe2_pb2\n",
"\n",
"\n",
"PREDICT_NET = \"/usr/local/caffe2/python/models/squeezenet/predict_net.pb\"\n",
"INIT_NET = \"/usr/local/caffe2/python/models/squeezenet/init_net.pb\"\n",
"\n",
"\n",
"def AddPredictNet(model, predict_net_path):\n",
" predict_net_proto = caffe2_pb2.NetDef()\n",
" with open(predict_net_path, \"rb\") as f:\n",
" predict_net_proto.ParseFromString(f.read())\n",
" model.net = core.Net(predict_net_proto)\n",
" # Fix dimension incompatibility\n",
" model.Squeeze(\"softmaxout\", \"softmax\", dims=[2, 3])\n",
" \n",
" \n",
"def AddInitNet(model, init_net_path, out_dim=2, params_to_learn=None):\n",
" init_net_proto = caffe2_pb2.NetDef()\n",
" with open(init_net_path, \"rb\") as f:\n",
" init_net_proto.ParseFromString(f.read())\n",
" \n",
" # Define params to learn in the model.\n",
" for op in init_net_proto.op:\n",
" param_name = op.output[0]\n",
" if params_to_learn is None or op.output[0] in params_to_learn:\n",
" tags = (ParameterTags.WEIGHT if param_name.endswith(\"_w\")\n",
" else ParameterTags.BIAS)\n",
" model.create_param(\n",
" param_name=param_name,\n",
" shape=op.arg[0],\n",
" initializer=initializers.ExternalInitializer(),\n",
" tags=tags,\n",
" )\n",
" \n",
" # Remove conv10_w, conv10_b initializers at (50, 51)\n",
" init_net_proto.op.pop(51)\n",
" init_net_proto.op.pop(50)\n",
" \n",
" # Add new initializers for conv10_w, conv10_b\n",
" model.param_init_net = core.Net(init_net_proto)\n",
" model.param_init_net.XavierFill([], \"conv10_w\", shape=[out_dim, 512, 1, 1])\n",
" model.param_init_net.ConstantFill([], \"conv10_b\", shape=[out_dim])\n",
" \n",
"\n",
"def AddTrainingOperators(model, softmax, label):\n",
" xent = model.LabelCrossEntropy([softmax, label], \"xent\")\n",
" loss = model.AveragedLoss(xent, \"loss\")\n",
" brew.accuracy(model, [softmax, label], \"accuracy\")\n",
" model.AddGradientOperators([loss])\n",
" opt = optimizer.build_sgd(model, base_learning_rate=0.1)\n",
" for param in model.GetOptimizationParamInfo():\n",
" opt(model.net, model.param_init_net, param)\n",
"\n",
"\n",
"train_model = model_helper.ModelHelper(\"train_net\")\n",
"AddPredictNet(train_model, PREDICT_NET)\n",
"AddInitNet(train_model, INIT_NET, params_to_learn=[\"conv10_w\", \"conv10_b\"]) # Use None to learn everything.\n",
"AddTrainingOperators(train_model, \"softmax\", \"label\")"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Running in GPU\n",
"\n",
"In this version of Caffe2, operators with empty `device_option` runs in CPU. We have to manually remove per-op device option and specify global `device_option` like below."
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"def SetDeviceOption(model, device_option):\n",
" # Clear op-specific device options and set global device option.\n",
" for net in (\"net\", \"param_init_net\"):\n",
" net_def = getattr(model, net).Proto()\n",
" net_def.device_option.CopyFrom(device_option)\n",
" for op in net_def.op:\n",
" # Some operators are CPU-only.\n",
" if op.output[0] not in (\"optimizer_iteration\", \"iteration_mutex\"):\n",
" op.ClearField(\"device_option\")\n",
" op.ClearField(\"engine\")\n",
" setattr(model, net, core.Net(net_def))\n",
"\n",
"\n",
"device_option = caffe2_pb2.DeviceOption()\n",
"device_option.device_type = caffe2_pb2.CUDA\n",
"device_option.cuda_gpu_id = 0\n",
"SetDeviceOption(train_model, device_option)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Running fine-tuning\n",
"\n",
"Now that we specified the fine-tuning model. Let's start the process using GPU."
]
},
{
"cell_type": "code",
"execution_count": 5,
"metadata": {},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"/usr/local/lib/python2.7/dist-packages/skimage/transform/_warps.py:84: UserWarning: The default mode, 'constant', will be changed to 'reflect' in skimage 0.15.\n",
" warn(\"The default mode, 'constant', will be changed to 'reflect' in \"\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"[0][0/500] loss=1.15868854523, accuracy=0.600000023842\n",
"[0][50/500] loss=0.10267546773, accuracy=0.959999978542\n",
"[0][100/500] loss=0.0946362018585, accuracy=0.959999978542\n",
"[0][150/500] loss=0.131896346807, accuracy=0.939999997616\n",
"[0][200/500] loss=0.0796595662832, accuracy=0.959999978542\n",
"[0][250/500] loss=0.0999855622649, accuracy=0.939999997616\n",
"[0][300/500] loss=0.08723885566, accuracy=0.980000019073\n",
"[0][350/500] loss=0.0652658939362, accuracy=0.959999978542\n",
"[0][400/500] loss=0.0490036420524, accuracy=0.980000019073\n",
"[0][450/500] loss=0.0513261109591, accuracy=0.959999978542\n",
"[1][0/500] loss=0.109811611474, accuracy=0.959999978542\n",
"[1][50/500] loss=0.17768985033, accuracy=0.899999976158\n",
"[1][100/500] loss=0.070137001574, accuracy=0.959999978542\n",
"[1][150/500] loss=0.103964686394, accuracy=0.959999978542\n",
"[1][200/500] loss=0.0276749264449, accuracy=0.980000019073\n",
"[1][250/500] loss=0.0539846345782, accuracy=0.959999978542\n",
"[1][300/500] loss=0.0995031148195, accuracy=0.959999978542\n",
"[1][350/500] loss=0.154732093215, accuracy=0.920000016689\n",
"[1][400/500] loss=0.0426763668656, accuracy=0.980000019073\n",
"[1][450/500] loss=0.0599067881703, accuracy=0.959999978542\n",
"[2][0/500] loss=0.0479127429426, accuracy=0.980000019073\n",
"[2][50/500] loss=0.124013155699, accuracy=0.939999997616\n",
"[2][100/500] loss=0.107514634728, accuracy=0.959999978542\n",
"[2][150/500] loss=0.0175920911133, accuracy=1.0\n",
"[2][200/500] loss=0.0359073840082, accuracy=0.980000019073\n",
"[2][250/500] loss=0.0313472747803, accuracy=0.980000019073\n",
"[2][300/500] loss=0.0128663843498, accuracy=1.0\n",
"[2][350/500] loss=0.0937282890081, accuracy=0.959999978542\n",
"[2][400/500] loss=0.115684136748, accuracy=0.959999978542\n",
"[2][450/500] loss=0.134855091572, accuracy=0.920000016689\n",
"[3][0/500] loss=0.0344010330737, accuracy=0.980000019073\n",
"[3][50/500] loss=0.0307683553547, accuracy=0.980000019073\n",
"[3][100/500] loss=0.0360927656293, accuracy=1.0\n",
"[3][150/500] loss=0.105807900429, accuracy=0.959999978542\n",
"[3][200/500] loss=0.0475012473762, accuracy=1.0\n",
"[3][250/500] loss=0.0839904695749, accuracy=0.920000016689\n",
"[3][300/500] loss=0.0396303012967, accuracy=1.0\n",
"[3][350/500] loss=0.108292654157, accuracy=0.920000016689\n",
"[3][400/500] loss=0.042269334197, accuracy=0.959999978542\n",
"[3][450/500] loss=0.120973356068, accuracy=0.959999978542\n",
"[4][0/500] loss=0.0672254338861, accuracy=0.980000019073\n",
"[4][50/500] loss=0.0240190029144, accuracy=0.980000019073\n",
"[4][100/500] loss=0.155671566725, accuracy=0.959999978542\n",
"[4][150/500] loss=0.00950713548809, accuracy=1.0\n",
"[4][200/500] loss=0.0494051575661, accuracy=0.980000019073\n",
"[4][250/500] loss=0.0336142256856, accuracy=0.980000019073\n",
"[4][300/500] loss=0.0153067773208, accuracy=1.0\n",
"[4][350/500] loss=0.0327255986631, accuracy=1.0\n",
"[4][400/500] loss=0.0851453989744, accuracy=0.939999997616\n",
"[4][450/500] loss=0.0748727470636, accuracy=0.980000019073\n"
]
}
],
"source": [
"workspace.ResetWorkspace()\n",
"\n",
"# Initialization.\n",
"train_dataset = DogsCatsDataset(\"train\")\n",
"for image, label in train_dataset.read(batch_size=1):\n",
" workspace.FeedBlob(\"data\", image, device_option=device_option)\n",
" workspace.FeedBlob(\"label\", label, device_option=device_option)\n",
" break\n",
"workspace.RunNetOnce(train_model.param_init_net)\n",
"workspace.CreateNet(train_model.net, overwrite=True)\n",
"\n",
"# Main loop.\n",
"batch_size = 50\n",
"print_freq = 50\n",
"losses = []\n",
"for epoch in range(5):\n",
" for index, (image, label) in enumerate(train_dataset.read(batch_size)):\n",
" workspace.FeedBlob(\"data\", image, device_option=device_option)\n",
" workspace.FeedBlob(\"label\", label, device_option=device_option)\n",
" workspace.RunNet(train_model.net)\n",
" accuracy = float(workspace.FetchBlob(\"accuracy\"))\n",
" loss = workspace.FetchBlob(\"loss\").mean()\n",
" losses.append(loss)\n",
" if index % print_freq == 0:\n",
" print(\"[{}][{}/{}] loss={}, accuracy={}\".format(\n",
" epoch, index, int(len(train_dataset) / batch_size),\n",
" loss, accuracy))"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Checking learning progress\n",
"\n",
"Let's plot the loss over iterations. Note this is very simple plotting. Perhaps it is better to use a monitoring tool such as [visdom](https://github.com/facebookresearch/visdom)."
]
},
{
"cell_type": "code",
"execution_count": 6,
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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XS4E+h6Gqk1X1FFU9WVUfdYc9oKoT3c9fUtWc6OazqjpXVc9Q1UHu/38Emc5O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\nTkSuQmCC\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x7f1eefed1d50>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"import matplotlib.pyplot as plt\n",
"%matplotlib inline\n",
"\n",
"plt.plot(losses)\n",
"plt.xlabel(\"iterations\")\n",
"plt.ylabel(\"loss\")\n",
"plt.grid(\"on\")"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Deploy model\n",
"\n",
"Once fine-tuning is finished, we can apply the learned model to a new input. First instantiate a deploy model."
]
},
{
"cell_type": "code",
"execution_count": 7,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"deploy_model = model_helper.ModelHelper(\"deploy_net\")\n",
"AddPredictNet(deploy_model, PREDICT_NET)\n",
"SetDeviceOption(deploy_model, device_option)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"We can pre-process and feed a test image to the depoly model. The prediction result is given as probability in NxC format, where C is in `[\"dog\", \"cat\"]` order."
]
},
{
"cell_type": "code",
"execution_count": 8,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"dog=8.07451e-09 cat=1\n"
]
},
{
"data": {
"image/png": 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RSLNHTo6SCeNxzJMPP2KSZdy8sofUZW/8QSNkTGIBahAW4x3GNjQWnjx/gsFw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\nPx2yX6+JdvMX3WazZnDPdQG3PM+5tn8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kFogJQhiYOyFErHWEEHtoJaJNIHgDMSe4nMHd\nE9GhdDLQiqFACYVwFxilMGZoSGKhDVRHBaKDaVbRbAVRRqQoEDH9xNihdE3nlpi8w/karSqCFwia\nJMtQEqnVmHwrJVmvV8zynKuXz4nbE44mcybVBdZtOahOiDEJgqx8SRRrXl5meDslXr3kSJ8QosLJ\nKZ3/BJQmEwrpJ8QQcTGQcUbTXCNc4OzsANddkWUBLTR4MFL2aaOlc2B0xnKxJmJ48uNndG1Ize5P\njlgtz2m7JcFV6Vr7DhE9EUuMgml1xmbbsrxuCF7w6K0zYtgQpWFdb0FVrGuf1KzSI2VqGiQxyAgX\nF2uyHBbrFS4Gzi8v02fF1FgekSjdk/g2vrzGzBrO24/JjCZ6h2ug6dbcnwta1hycZKjrB9Si5Hsf\nveCHzz/B/fbHQM7BXDM/PCDTgrWq+fEP/5y3vvQ11mvDH3/3++jsFW+/ZXjXfIWqe5fYCl51Ndt8\nwws546W75KG95BePCmx7j+d6wrkteE9nXPzRR+hQMc0ySjXht/6P3/rcgfnzBvsI/O8ikbn/mxjj\nPwDOYozP+uefA2d3vVEI8feBvw8g++JV1yZIRmsN/ZI+QSwBKfxu+SwEisFy11OMbQZ98jLxw5K5\nx8WV7mf5QQ26k9cPy83xhPr/p0x95+y3vxLQfdPj/expHxtNOORN1eawOtmHRoZl9/57b2O7+/sf\n8GghBqbHPve/260gpEAEQcoZFEIbtM6TvFwkLxkhFB5JjIaIwgeNikBM1DajekzZK7Q2xKgwKtlR\nqxhQEoxOasjoHXiHLkuEDEyrnLbd4rWhlTf7u45L/575ESIk/jcIKQi+/12QoAcRGL4FGV/P0O/K\nDvef4w3ZuxCpPvCmFdxdGef+isj7n+xFf2NM3LX/Nxz3fmY/9EoQIhEOlFI9fr1bSY7ZMmJUOA/F\n4P5T0/Xrfx8gvzFbljuR111riAHy8t4zn8+BHlpSr68eBpsMRPI2evny5bhSj3Gw0ZBYv6cJucXK\nklJycfFqhF2jjTgbxiy+aTqargHRIWUfH3DICFu3JcQdHNi2Ld7KvWDvQVhkkDSqpVM1QYKSGrzE\nW0+LxTYWbyLSRSb5BKECnVgSpQcPkQRr5dpwdDxlW694fNGiDzcEcYysSqyExeKSn/3GO5RZJHYt\nuTGs2wWhtuRRUJqM3BRYQaKGSkd5OOGjl09RM8PxyQlN63n2/P97i+NvxxifCiHuA78lhPj+/pMx\nxijeoOrpJ4Z/AKBNHifVjHp7nSiUB1MamwZzoocFbEhmVZ5A6NsP5nnOCsl0OmVxfZ2wYp2h+hvF\n+SQdH4Jg+txe3SqTx0eRVz3sstfUWqWBkRJ5gZQaEdMNtKm3zGZzmoursaet954Q+yWm2KlTBbtJ\nJcuy1MXJGGy7C/r7gWAXFHd9YNMkNlDlSjRZbzqVPmOzbSjLnMX5BSfHnqZZEyem9yNXRBRKVyht\nkzc+a5wXRHJChMCE6AQShYr9IyWFMWhnkB1oJdLNpprUhJ2O6Dz1+oL5fEaZCUTssM0SGzxhJXj6\n7C/o2iWCLmV+9AXfAEiFyQukt0iRITB4J8nyDOsHqqlEkCwYHIqIR8iIEsm22XmSn7+QaCmwI+2v\nD4LsgtdtLHicOPfgh31o5k0Tg9zTIexbVtzebgfh/ZpHP/bT36QcW/GlYJ5okfssnK7xyeZjr4A+\nTBIhBKQZApvpz8cRoqMokh23tRbdK6S1yvBB8OTJU5QyI+Q2JDxC3h3sU9/ZKVJK3nnnnZFBNh78\nrU2p3oDOS16+fDkmNfsdwMZxP0x6YleMLoqCx48f7yZXkaV73/f1HAURy1BwBQhRICNkSiNjoKsb\niqKgaxrwCbdPBegU7Nf1Bl9FWmkhS30avINVXWO3a3x0hCIiGsvlqxfoPHD69kOicpxfXfaaHMVm\nu+TeSUH0G/7p//UdzO9/n8PDd3nw8B1+8W/+Mq9efMz7X7vHxeXHHFYT2sby9KM/wy47WG+ZHk6Y\nHpzw4csFziiisBy9+w6//3/+M+TDR1Sz+zx/teaTi+Ubx9tn3T5XsI8xPu0fXwoh/ifgrwMvhBAP\nY4zPhBAPgZc/aT+iZyQk35kGISJJ2bcziPJRE3DpOxtMj/pBNPh2O9cRZZ4UnFEi5ZClp2r9fnOO\nNNh2zcFvNOvoB56UfdDo9aWDCdRQcFJK4e1N7DLZCYjx5h22m00o9s59L4vfZamv869DTNbNQipk\nFBitx2zJZKlgJmQk9GIWua8PiD2HWkiSGVYcz5+YeMoDLiCEwLsurQhI4q+st0iQRiBi6gIVcEg8\nrtsSQ8d2tWRZ17RdR+ZLQtdRZAYlRX/tM0IC4ghCYn3EuqGb2NBTd6AjJiqdjKkj2DDZAj0jac/E\nbExeA5KQVunJQOjG9b1re1Md4K7sfn/C+En7vWuftyf28e97xzFk5/tF6kQF3h3vsMIYfr+d2cc+\n6TBmD1Me7DCkxPnIcrkc3+e9/4lBYBDDARz0okIpzWj3sb8NKnipGL1wBj+pqsxuJF43JuP+MfT3\n3021bupxG3w6h6IoyAoFwkLsAAFBISN47UB0vHiVksHJZIIIU0DfCPZKZnRVDd4SVIcSGi0NShtk\nFmhth5KgMkVezHFxy3bT4kWHd2kMSymxXc2rF0/ZrK/wQmObjsuPPuLps0sOj+bE0FJmNevLT/jS\n2X3OJvdwUtOFgFKCrMghr9i6S2QOWSappiUupHM7ms2ZVxPeTAf47NtfOdgLISaAjDGu+v//e8B/\nSXJw+I+B/7p//J9/4r5kyp6TYrAhxnQhQnB0XRKIaJMhZUEmimTf67oxO8/zPGXOrgWZk88M+Bat\nU0vAznZ91x+DJCKkQcrBAVD17BFzI9uOcXcT+uAhxJEVVFXVLtg3HVob/EBx1GmgB3+zCKqUoq7r\n8YbNlIL++PeVmIlaGm8Flz7bG+TuUWD7Io9SgqoqiDiyLMnJlU43h7cRYr+EDQatMgRqhLcgEKQl\n+XDKXrHsKTPPpIhkokH6NdGWuMazXi1o6pp6dYUSkfXqKk2W3hFDh5aCg9MTylixWQuyIrLdXGGt\np+1S56A0serUDcgoMpl6BCsEWg79bFWiDsbEp9bGAAERA1oMTosps1doJBGV3IMY5P9jds0Ohrj9\nk2yDP12ENfwtvT4FR6NvNkt5w/0x7lvuB+T9wP8GCGrI/FOw22kUfAhEa1EkKnIavzsny5Q0CaSM\nFEXqJyBcTBNob8EcO8fV5WIc//uF1tuQyrANcGfXdZydnTHUlbI7YJy0WghENIvFGqVUUkfXNYcH\nU2LQRN/dvA6R8Z4LIWCbhqdPn47PBz/0N07J0nw+BeUAB3TEICBoZJCoMhJiw48iFFnO2en9m5g9\nKdhXR4dcuZdsFyuij6mY2ngeHt1HT3M+ef4UZTLu3z9FFfcwheDV+kNeXH1CkAqjDdv1CiEsD04e\ncu+nHnL16hnPnr/ik22D3dQ8XdWUk5w/Xi+pJGTyOd3ScXb6gCslmLx1jJxNWU8O6fIFVVVgioLj\nyZyT8oC63fD28Zz790+YA9vXrvZfbvs8bJwz4F8KIb4D/B7wv8YY/zkpyP+mEOKHwL/b//7pB9Fz\ns8uyTBVzMVTb3chOsdbhnB/pi8REM5xOp6w3ycGv65JSLeJHIzGAqppQFOWNG7CqKi7OLzk6OuLZ\ns2cjbFKWJW3bjuyeARMfVIQD7WwY8MM2BPHhcwe8UGs90iqHIJPn+XgDDTfcQM+UUu7qAv37hwwp\nTQxxpwRWjCwD7z15YXCuIwSHbRuIiSMvEeQmyd0nZZkGafQ42+Hsghi2SGUpskiMDXkhub58QVVq\nPnn2ER//+EdcXTzn/Pyc1WpB27aEEDg4OGA+n49Q02QyIc9LlDTcu3cPKSWz2SwFLyIiRmJvJxG9\nZbtaImLgYDJhWpVsVlcYJQm2Y1qVRAJGRZzv0P31bNtkY+B7W1/nut7SAYgR2+wagA8T6VBrGRxS\nBzbJYDdxO2MfXlcUxcgo2jddGzLiYd8DJr3PUtlnhgyfPTQKGRgmA+1xGD/AaC1dFAVN0zCbzcax\nMiQbA3w4jI3NJjVRX61WhL4J/PxgSpbtTOqGc+3adB85m8b6ZDKhqqpxbMKOETMck9aa5XKJ1pp7\n9+4lskNZ3pi8hvFfVRVlWWKM4e233ybLMu7fv48QSYg4UJbfVEcRItmZP336lLIsE4POQ/CMfWkH\ncVVk5381CAYHVo7WmrIsKctyfO4Gldd15CajrRum0ynttqHMinQdENjWMatmaVXZ13bWdZ2OhZiI\nGsFSr1e8/95X+eu/9C3+9q98m7/767/B+2+/QyUN0YO3kU0Tua4VK1vQ6RM+fN6y1QKrAq2S/MWL\nl6w6z2Kx4OzwCLt1+I2l7CJGdLhmgf8J/Yo/y/ZXzuxjjB8AP3/H3y+A3/jL7QtAIpA07ZbNZoXK\nq7TkYs/4KEqcC7gQUFmGkpG1tWQ9xr2tN1jXIUxBsnVN8Ecc1IgIYgCjDFlW4POcLEvOgAkGSTDD\ndDplu232svxdv88hOAxLU9EXe9UeBDn4icCuKGaMwXZ7Db9jEoPsluU3X6+UorXdWMhVQ9encFOg\npI0iRIcQHmtrpIoIv0YCRk5Q0RJsQ3AN01zjfUgCDbtBB0HTntOsWnwXedFafFtj21dEEo9aqxyj\np3Q2kBUlRkmywzlGKbxNSkq1qJlMj7j/6C2kMtAKmuaSUC9w7Zau6ziYHXNxueKH3/tThILj+zNy\nGdC+xtDRbi45mk5p7Zr5pGCxuESL2Gdk4Lo2MZCEIHqHRFBkhq2zyWlUKTKV2kh6Xodj9jskhRAI\nETz+Bj4+BO47obZbgp+h6NmP+fF1d/0g7oZ87oKL9gPtEEAT6yeNFzFCG3sisr19SAkhOsqyGFeu\nuyxaopTm6mqRxkHvQTTpg6C1NqlQGQRYO1LC1VUSOBVFQdskGrQcjAkZYDjZU4U9yRGko21bHj16\nNF738foP55hYE8lILSatzcFhzuXlJUqnpCh42G5r2tbiXAq2zrlUaBVpVSqjTP77poePhGA2nbJZ\nrdHyMAm3Iv2qGbztkj+Pd8iokQLKqiDThrbxEFOdTaJwtqYNFu/d6NiaEtCG6STnF3/2fTLtOK4e\n8vUHb/Mvf/v3Ockz8mLC1necPHyLi/MVV4uG2BXkZsaVe4XYbNheXiHrkrI4xBjF5dPn6ItALo8p\n/ZYPP/gel5eXVLsQ8VfevhgKWnZqz8H6YJIXt14h+58d1q7ksMxLjpW2SZx0oVMwDv3FiUKNS1wf\nd9apXed62KiHb/rjUG8QzQzBfhCxWGvJix7+ueOc9ot+Kava8YxDjGNRN60gAkNhdnj9/j5SnUGD\njEkmvud9kjrwDMwcCcKhhCATyXPDiaRGrm1DCB3tdsHV5XPWG8favyC0IKKklBmSlPEhPF1n0bqi\nqGbEoKAqyI0m1wItJJt1yvYi57gg8V6xaTqm+QS0QWpDaCPOJ5+TZrsly8H6DmuviDjmNrDZbsnL\nDCsj6Awlc8pS0bYteW7GLFqSfHcCkWA7QBLxQLKQGMbRbax9eNzHukNIxfS7nhutB/aufYivQxxv\nwvA/a7CXUu78c/rtti5h9xkp2L8GCYWbhf4E77jRfE+IXRvFGFKQWq+24yQAPXPHGJy3aJXsEkQQ\nENLkkcmsL9LO0vg3hhA9umeGSQb/GokLHT5KEAbdW3rM5/Mx+xaYG+M8kEgUUQydw9L513VNWaV7\nzaic4PserCL17vXBAp4oPKBTph9iYs30rUaHVbJQvq9JCWIP9RltIKaiv5BJRa96hKFrWqL3SATW\ntjgnsb7FpxuFKEnsN9uCztAqiaKWbXKufPbsGZgJXgeazYp/+9t/l48fP+fFJxd8/KMrnG1YdI6c\nFucygoXZ4QGeDdV0RlEcMD15iBIvqOZTHn/8Y8qZgOXni/ZfiGAvpaRrLWWpgcBqtWByOOf1qUyi\nlSEqRq+Y2WzG9tU18+mE5vKKtq1RuiXrIQ9I/HghRGI/RIGSaUnc5Tmmzx7atmVSToGdFbL3Ft1j\n0iJCZkyf2XjKskxujuUE6xJvPoTkwhfHDKL3zCf1r92sVwmiyQuss8k0LaaJIzoHxDHIV1XFarN+\njb2QbiqN1p4QdBJjNJ4sM7TdFkSGq8+JXrLdXuHaQLtZE0JDYInJBLHr6DYXhC5SKEVWlmiZUZkJ\nSoJ1awKOV/UVmDlnD38KgaaVLRDQRASBuO2QJgdVgSyxMaN1SfQihAZVIHUqZtu2JleSb37jPRCO\nIBq0EchNx6ycEGLND//se1ghUcZw7/4ptu04mLzNpMjIiwyT9SpRIjoki2stFUYJIkPWfpONczMb\nv7ntB/j9oD34Le2Lw4Zsfj+z33/f8N7bKuMU7O9GS1Ow3zW+uf3cPnsnxkAgonvF9UgBdbuEQYhE\nM7a25ej4AGtbCpWjhML72Hd2U7x8+ZIir0ZVt7WWGDzeg+wbncgo000WU5Lz+PFjDg8PU3IUPEIy\nwpj7mb1Qu+s4wCc//dM/TVmWTKclgoy2XqNI5IKogOCIIWXo9+9PiCScfzI9SPCXqAhhmSYT5+ic\nJSsjiEFVvQeZNS2u7ZgUJQqRfKVsCvZCJC/5dH1TbQDhETEVwo1J3lZd16B6R9JtvaGrW7xxOF/j\ncBhdUE5KZBu5f3ZEDA4VHeHgbdbbhld1zbwsae01905yfun9E7799WOadcfv/fYf8MknL/jOZo5w\na5omsukMs+NHfPW9Y55dnvNnT65YLmumeU24WPDJtuPdb3yT7//un9w5jj7r9oUI9kKIEeNUSvWz\n9u1td8NIKWmthZgaZazDTmofQmqrF0c14O7G2/88wY59M+CnUkqESjeGUhLndln4kIGl5b4fVa7D\n/hiCSs9cieFm1riPDd8VZNLfuZHZ3w5QzjlkTBz6/eA0BKO6ronBsly/gCDxtSJaSXQOJSw6j0gC\nWkUyIyiKkm3TUOUTjK4oTYWUgrqJRBFQpkWpEmNmCDS1t0Tv8X1WF1Fs6w7rA50LOBtT5iY16ZN2\neOokm+DaJYurC0KwnDyYcjif8eDhDJ0XfPLqgovrA14tFogYuLp8RVEUXLx6xmw2o8gS3m2bFmkk\nZVkmyKLHoyH5EknECOPsb3cH5p1Fwf6kcJfS2O9RJIfH22yeu7L7T9vSOHx9xZDeu/c8w8p3yOZ3\nXji3VxYpS40jU2s4jhAC0Tli1LStJTfzG3UNH5Pr4kAISNTUBLF671mvU//aAdaRasd4GlaoEPrx\nIZE9yy3GyPHx8UjzFKTJBdkL2LxHxEDwyYDQ5BXrTaJNDjWOQW/jXfLP2jY1RRQgugTjRI2MIIOk\ntUsi7dg+VAqJ7xJJQQiJkAEhHSr6VHtyFoRC9P721rd0tiEElzD5OjF2pEk8eB8tRuXjdzKfzigz\ng1A5tSlY+4Y6BuJmi/Mr3nvvPXALcgEqtky4YhauqLxhUlTE8pCXV1O61vPRk6csu5rzbcAqxXa9\nRl5csXGBVfdmI7zPun0hgn1AYLWgDg1R+NRT1pVIDMEqvLB4VnTegz5GCEkuBKGzdN6zDo6876yz\nubjmrewUn/mEAwqZCiUeogLbNphS45Wjix0yCqztuF5ecXR2hrNpoggxoo0gRofRAJEQJdZ2kF8x\nyRWffPKSd6qSbpvjqYhG0omOEDy536AkZNkMxBaEASGQmcDHQIxlEjdNGurOo5mSS0Pw52SqRIY1\nldyQd9dkIqdZOqbTlzSbQNd4LlZbvG/xfklW5uS+4+r5U7SpcC61itOmROUaaRQIR90tmJ+ccvXk\nki/d+zmUnHPMguDTjYCUhGgRxnFx+RKX5XTesai3qXVbTG0ao0oTWmfS5JppT7e5onhwigqeWmoM\nBUJW2HZBVR7Q1Rui8Tz6qa/x6mqJuHfGjy6v+bWvnXBwfML7D075pa++y3e/9+eoLMcFQecD27ol\n1IF/6z1FZ3+EdI5pMWWzrjk4OmYzMWy6LVRnzI4fMD37Gs+vXxBdhzANUbZ0SrDadKmDmfVkYUZJ\nzlX4uJ+8C4KTGF1CbJjpwER2TLUgz0ouNy1x2gc509LFJP4TUqFkRabmGBQuBoz0OCK4gBSBTIqE\ns1tHlacAVteexgeUDmOPYDW8TigWdcujR/fZWAuhweQl0VmE1ERUCk4ogve4ziMJeLdFi5Y8HtG2\nF5wcVpwcKprVmjKbE2KG1JJA5Hp9zl/7xleJpiZTBqEnGGlwBIRMbBVCRPgMoiK6jMuLFd/4ma+j\ntEMbQVM7jKwSHIQjQSpNGuMhp2kjL148R0r42tffJoZtWjE6iRZzut4Y0PdNenzQxCgps5zFesN6\n0/HgwT1kVDSxpY0rdFmzev6UznrqzhCFHHPAKFdpYtPrtOIuCp5v1sSwwbsEAQuy3olUYUTF1p2D\n3mLXiswfc7EQhHjJksc0wjFZfoXt5pDt5pJ7h4rl8iVVeUDuT6mY0nHOW+9kWNZoUfBweUW9vUbf\nyzl/esm7uuTbP/erFPcecbxoKUr4g5NT/vSjj7i+XnDw5Su+VD4ku1YsN3/Ex5tzmH6bi/MFEH/S\nlAAAIABJREFU96dLtpsNFxeBk5MTHj9+/Lnj7Bci2CN2ar6Es+3cLQe4RgrJ0ARCiKR4k0KDysbs\ndlhySykRWiT2h9iJUBAhURC1Snid2LlG7miPKeglDksvxEIiYmpbGLyk67nsnQ20baJtIgxRSTQe\nL0Cn9enolZ9lCYZAOBCpmbkiYu2W4GOiGEpNJ5IaMC8USgs2zRbvGrpWsNie41tJcALXOSQB6zxC\nd7TWoTOJUIZMFEipyc0EleXkuUGqSHe+vWF4JmVqKC3SkmJ3zXvVJuxDIbFX3ApEf45BSKIUKQiJ\nxKePSLQShK5FxkBVZLTRoIKh7WqMEkzLAi0FZW7QRqEUFKVGZ1Pef+/LPHvxkk1rqZTi/v1HaK3J\n4gLnOrp6S56lpvDz6YQXH71AminWbimNZHl9zuH0AHDU7RWN7XBdYsu0LiJVBGExmUH7HqoIN7uH\n7a+2fM+8GLe4y6jT62UftHYZeOq9kLQOUg6q1h0VNCSMaW/43w0xDa+//Xf26MGvbze9n+IehXjY\nhtXWX2bbbrc8eHjS15d66ukdBJGByz/g7oMmZViV3Bhz6aqMKxkQo/BQiL75j3MIddNPpnOevMj7\nazNULlPdS451lkS2sHYQpQ19qdMYbrsWjx9bWIYQCM4TZYJSs0ziOkvXDatCP9qKD5qZQRs0rKD2\nHWtDAGMU946OaZqGtu3wG8dqtWG73SKVRuvB9ydNeHmecfLwDFtnmO6S6uiQZWvZNG3qs/s5ty9E\nsJe9aMI5T1VVLJebtBwNgdjfTEobhEiMGoHq+/ZGQm+N0LbdqFKNMdB1vu+lmZaUSXo+mJ7tnBY3\nzYbZZIKPoKRBSoUVqalAhJ5V0HO8dUFeTtg2bVKmig3NFvIswwuFjDI1O48RQomWgbZpkU5iZMS2\n19SbT6imE4zJCMKT4XHCY5s1IQhWi1c0zTVt27JcXRA+8TQNCDlFFTUyFCgMmSpBevIsgoy4uOX+\n6SO0KqnKt0m3UYlAggogOrJl0U9sIEREyYiPihAlAp2CdwyJ5ranjpSAFJFaln0hyyNlxEqDtw6Z\nFTgEbXCpqLe9xOA4OMh48M67XJ2/4Pmzj3Abi2yXzIxEhC3H9+cEtQKlyGSkEJqDwxPe+/oxz1++\nSh3FNCgVMfKELMuYzypmk5KnT58gpeTkaIYXGU9ebGgmllcf/CHnG0OUgsPDGVmumc8n5NoQxIrZ\nzNDYT1DZDGVT67pMSHJlmBY5foACpaALkeADaAOkgvCAwUuR7Dh8DPiQ4BMfElNMSonGpHEq+ibe\nALK/xkSU2fkhKakSVj68jgHO2zGv9mGh/cchudln7+ge5krQqEq1q7hj8RRFsdfm7k1Qkxx/sizj\nyZMn/Nrf+oVeL2KRMrsz2A/HrrXgww8/5OHDh4kSaQd4TCOD6u2d6XtFiP7MFZvNhtPTB4QQePTo\n0VigbVuP7SDLKqQKaFkQRT9xQvLSAIKt8U3AFBkxgHQehCKGZJcSowUEUuX44JF6qNEoJKko2zWW\nspixXK7pGoPE03UB07O2nOtoguPsdMa9e/dSkqoFIcL1cokQiqIyHB8f87Wvf4XL8Aqk4PL6mhev\nLqiblnlRcDid0C0dzkeC3XJ6f059dUF7+YKf+9kH/Pu/8R/yD//JP+f8/Jx33jnj8uq7nzGi3r19\nIYI9pAESnCXLU5PuNFAlcSiE+UhUicEi8Ii4c8MbrA7Kskyy/mCRpj81qcbmJdbtHPVUn93YtkNJ\nTdclIyYEY2OO2M+mkZAGVpRoown9jaxkjncCkWkUQ2Er4fUqGrQMBKXJjCK4liKTQINA43xH29QJ\n4+wczTZ5brh2S3ANQTukiphcY0OyDQiyQKoCKQxa5UgRUEbhQwdNSzlJohVtypRl+ywxHFyTWAjs\n9ADJEyXiE/MNVETGVJ+IfeONFOCG1oae0Mv2vUjsEAAXLMaoZKMQHRGYFQlbVwHuHZxwUD7AxA2l\nhkxYbJREt2GezwixJdIhlSQES2xT8fvtsxnOlSOHvd6mMZLryHySYU8S5nx6esr1couIktW5otQV\n7nnkerlg+bJGaMXyUnN0dIQLHUpFhGgxpkCtQQqNiyL1PQ4OmRY5aJ38eUIURHXzNkkB//UxHEXy\nJ49BEGRid7mQ1OBBDCvGnhgib/r9j0XfG7Ue+Vo8vZ3Z7+jBA37uxuJi8CmYpucGb3uBMTo1ExkP\nvKc29zTG9HOzvrHZbDg6Oho1DFF4VK+I3t+GOoAxhsvLy5GJ81ptQYgbx76/UhlW3HmeJ1adSyJF\npQyHB0fEqFA6H48wjIp7aBpLV3fMqnnK7mca2yX6dvBivA5WQrOU4/0ghGBSzYhiy8XCkWUFyhcU\negJRofUW0fUsol6HNi0rDqYTRE/fFUqwWm/JipzMpzEHOzrtarVmsVrSWs9plZqjrzuHixEpPEYK\nLi8uyGLH4eSAUktWl9c0qw3f/OVf5Y+/8/+DYB9iJMsKatv0MANY2yKVRJucKBVddHjnibFDigyj\nMqQUaFlidI7zHVU14fpqg1ICG2OiN4YIfuezE1RSJQqRMpZ6s6Ua/OBDBK3GzlRB9E1A+kVUY1uK\nXNF2HbrvGNW0a47myS8bGZF0eCyxW9C4DtddI2hYLldUpebV86dcGE3deZqmY2IEIUiiM2Qqo8gV\nsihRxhHFGpNPmGUZRX5CrBS5qtAiIxMagedq8TGui/hoyMo5m3VH3RqEkKiYClxSDdmoAWQPeTlC\n7HBapAYrUfbeORqtDEYpOhEJwYHfAqnBi8Aj6dBETKjxdsXDuSbPBKdVwLWOIjbYuMHVWwpmvPPg\nmLcO3mexOOXV1TVFNeF6tSZcP2FbGYLtmE2LPpgL3LZmNilRRhCsRQnP/PgEYwzr1RXt2lGqFlMY\nnFtRziUVkdOff4tqOuf7LyyrVc3TTxZcLxuaTrG4WrJut3R1w5MPP2Bz7wC5KplOZxRmSnQdB0VB\nOZny8kIxqbPUFFt6TF4SOo+KvVdSH6yl7IO1IqmPUzwnyr47Gr3TJtBX34lC4nFIbYiOMbMXyETv\n7Lc0CdxmYe0gj+H/Q3AdM/vobmT2IaiUkAiZiAYiUpY5R8dzRv3KnVt/LFGyWq24vr7m7OyM1WpF\nUWicDaO25Ma7ROqLG5E8fvyYr/cdlrz3iJh6PMOuYL77SX8ry5IPPvgArTUHBwd4D50VeKcQsuBg\nXhJ8ggzDUEgmJSMATRsJdaRSU7QyCPJUQ4kSkanxGLfacrlK35lAUJiM0+NTrF/y/Jnm/tE9QnnK\nwextWvuKrXvCujNURUaupti24+RkwsnJCc61ZFqybS3f/dPv4QIczWZ8+1d+BW87TG6IoePi8prL\nxZqoMg6yyCSr+GTb4oKmyATvf+kd/uI7P2SWad49PoP1FVePH5Nlgr/9y7/IP/rH//ivGGHT9oUI\n9oJkSFZvrpESijJjvVlwcjKlsS0qMyn7FAqlUwW/67pUcjGS2eyAxTI1H7+6WpIXGuciWimQySUw\nMWViYvFIj+3cWO2fzSdcr5aURcJ18yzDZDmbum80LRLhuKwcIW7JK4syFlO0NM0rYrxH3VhcsFwt\nX9DYliovEvSxuqJttnjb9plDhpYTYhc5nE5xzTlVUZLrObnOKfMMHxq27TX3780w5ph7p2/jXMk2\nr5FeE72icR5JJERFXszICoe1nqys8DZDCIUSGQiRmjtE0FnfWD2kTkMxeERGEmoNeGpINFRF4HiW\nEz0cVSAIBHeF8y3N+pqmWxPra2Rb86V33mZSab52mtG2Ees0zKZk+oB7s4LDiaY8uc/qIGdSpAzt\nnbPDpGJVgug9zz++JAZHlSkOJiW5BxlD763jocjIZjMOq4wYPWWRsd4smU8naC2pZMbpJFEPpyeB\n4I54/vaci+uOH324Qr3zkB8+fsqra8k7b79Nnme09px2c8HGXvLVr36Vpx98l1//zb/JP/vf/oSf\n/da3uN5ccPbwgPOLNbmKRCXAdWOT8GAtRW/7EIKj7bbkRU7jW/JMI6LGd5ZMaw4OZ9i2wUcozITz\niysO5kmE5EXaxyDW2263hBAoCoMSGV3bdxMbYJvexXXoxbBYLLBn86TMdpFIwLoWUUyRUo+mZ845\nPILLq3O+9rWvEAL9CtcgZIYPHUab1LYvVcsQIilfu67r1eoWIQJZZog9aW4/K9da44NESM0PfvAD\n/p3f/LVRVRxCwEWHDDtm2pD1+h7nlwp+53d+h9PT08S0Wyd/eRcEUhpiSMfrLJg4iBN3/j+27ch1\nQbAQooKgUFKnFVVvSxKihyymus/BAevrhrKcYLuOuqmZ5BMyWWCDJrbJeuLJs5eU04ym3lBM0qT/\n5XfexWhFLjQiBi6XG56fX+IjLFZrvvnXfgaiIzOay8VLNnXD0xfndNOSt+4fkhuDix0iFxgdef7j\njznwHt1e8+wvfp/FRx/zroGyiPzOP/nvPnec/UIEe9gTIImIUqK3ALAkwYxIDZFlRAiH1hIhTVLE\nRTcWayN+pOPFOHy5O85129QIYD5P/t6bxXa3LI2RptmCNgQPm3VDFKAFQEAE0KZ3twwN3gbaZonC\n8PzFj2ltois2dknnO7p2gdYSrQLlJKPIDmhbTwg5JpszVTllMaM6PSTTBTIUSCRaRqyr2XTbhOEG\nDdEAyTI2aa8SXBRigg5cSLSs1BYxKQyTVVj6V+xdY9hlVamVYjf2xA1BIKJDK5F8T7yjbTrqzTVa\nZRwVgqA8ZRlpRCRua46PKpTfIDtPs3zZ01gD8/mUzCg2qwVtvWY2LbBtCzEVzKalQcocoydIKZnm\nE+rtmu3yGl+ArT1GS46ODtBScN1ZPnn6hC9/+R2yXPPixSdUk4rNZkOZZ0gBRgokjpODtIrZrFpO\n7z1gvbREDM2DE+rNgocnZ1RVgS8lRVGRmk8o1mtJoR2Hs4yjec7zV694srVMZo+ot6vRBkBLQcCR\nG4HTgOtw3iEBLSXSh6RDiJ7gLV4Gmu0WSNnw4cGcpk78cCF6zD4tCRKM9imUzs/2911Lw4TVwwDP\npFVBusfSawYu/0BHHpSIQ9afekMPK4hU2O3u+NTdMYUeErPWMpvNdsd663hv1iB2dYm2bcf+ykNd\nbtgGDYDcp9H257fryiVIpnrD+d2Un+7DXgPEleAxAR601Igok1gs3mFGFz1CQFnkY6E6xshytaW1\nfUOSMcFM13dsroLAR4EWAaJOfbaFQ2qFFhrpHNq0VCYDZzEODjLQ9vM643xhgr3oO8dMCWFNlhvq\n9Ta1IxO9/aqQCdf1W6RQvdpVEHykLCdstmugtyHeLBBFKkANkuyBIy/7wT1ggvP5HFSgmmRs1lcc\nHh8TfIcmoPr3tpsVbddw4WqEDCyvn1PkEmJqIr5YXNN5idAgc4U2JVWRIQEVkxQ8OMF0esByFZjN\nzigmpwhR0MZXRG0I1hCDIGLxeKQqAXAu1RCICQIYStQIgRSBXBvW2zW5MbR1w0xVWOkJJBNYGRVC\nuJHi50PqhWmtpdAKpQNKCFQEHSG6SCmhsTX4DTo0UJ8nZWtMXvVnX76HMWdY+4AH90/58eMP0tJ4\ndZ78103JctESfaAoM44PDlhtQvLHEdBsNtSbZTKVyxIHez6bcHp0Sn56n+X1FdvG4nvp/aya0IWO\neTXhu3/yJ5gs40vvvs31eoMWAl87qswglcQ7z/LlBV3r+cpbX+F6cc3f+zu/QGsFf/CHf85Pf+UX\nWawaoMHrNe88OOHBg0dcXl5yevSI03nHb/zqzyCzgPrKKT/64CXdBby6fIb3qf/p8fEx5WSGrxfo\nGClMMpNuXYdwAYXDiJR4tMKhCbzz1inHs5IgFdvVBYfzCcvNmswkUy0pki3AkAWPfWlF0gPcxbwZ\nSAY3NCYke+OBJTIE/CGoJ28mw/xgihRhVMyOyu7BYkFGRE84+PjjjwFGbyhrG4xO/ZVvBGwheu+q\nlJjVdc2Xv/zl8XnRM3GG3+/C7JVSPHnyJLUj7FuO1m29q0mEQBCh5/gL5CCcxCNjqiEJrZA6ueVG\nL0g4W2RooB5JornY708phdEaGSXNtmVazdAka2XhJHW9ST0bgoOgcJ0lOp98gnrOYAyO7/3wA65X\nNVQKpdKKI9WyApeXV6y3DagMGwV5JgnesI2wxXFaFgivULalMp6zQ8OPfnBFFuEr9w+pz59/3iD7\nxQj2QojRKGqzXfTydE+MIXlsx74w28u9Yz+wJakbkBLdaFustUp2C9VRKm7tZRQxRjrb0TRpCSxi\n7DN7kFrQdhuaJk/+O64jdC3/D3PvFuNpmt/1fZ7Te/yfq7r63HPYmfXO7JG1Yb1k7SBQomAlQZAE\ngsxFcgECInLji3AdKVFIghRLIBSkGAghIhdJCI4CQuIgB8eL7TWs7fXOenqmd2a6p7vr8K//8T0+\nh1w877+qZ3bXB4zQvtJoqqv/VdX/t5739/ye7+97cDbaC3jrWLeRY+yaDi+T6MooDQ6NSXJQoFKB\n1AKT5CRKkhmJt456X6GTHB8qhJIgA46eHq4glLg8RQwf0QIZXOT1i5jkc0VdQ6HwyDDk6NoY4uxt\nhxDxhAHEoaMIQ6GPCz12MVGaHm+KQ2Ij/9g7gnekWiO8w0hHkSVDMXOMihytJU1TYXsBwrFcXdJ0\nNhYXpWHAhGezGVHotWdb1xwXMxKtSTF0psXbbvBr30fKWgLOCJRKuXn7hLbas7w8Z1/V5HnOjaNj\nlssl89kRbd/x3uOnnNy8Sds3eNtjrSfTikQbpsUJNnFUmx2LyZyLs3e5cesud26nIDOeP4+UvOz4\nhOk0I9WWG4ucJMkJ7ZpbRyV1Zzl69R6JSKmqhCSJcEndNmwuluw2G4xSeNuxXV3EomF0HJ6GSIuV\nQpEbhUk0X/jMm7z73rvkoxnrzQaTfAyz5hrWgGtx3QGj/27F/uMF81AQD1TiQ5EPQVw9R1IITKLJ\nshQhGuQL4fSH18ReIvLRBYKqqq6M+UwyBIoncshM+CiMY61FqRQxZE7ETae7GmofRGLfOYsABhHe\ncrnkpZd+4OrEHQ3jBkrpQIOM6zdSZUV8AwTAhiFUSA3NoB8e/wMrKngQH/WoklJFGjdRPT8uCwgS\nNXhlHYz/DvcpBEffX1t5yEE9v1yvcOFwqhrso4fnrK5remdROkKrUkJrAzZo/EAiaesejSQVkGio\nNzsUUX1/fvb9GUv4278CJCYlz3OqWlAUBeen5zFMWwHEfEypBlhCCCAyRoJ3g1dM3AiyLGO1XlLM\nb3HlKDKsxCRJCErC4IopXMykvbhc4pxj31RcLE8jROJ6pO9QWBIiPJKpW5RpSq8hSSXbzR7hMhZH\n9xkv7hCUpKfBC08m5vHfGiqaekvdNpTjAqe2ONXQhg1SanojEcNisSJgXIcVDdLEBJ66rQiiQgoP\nfgjBCNG3XSIo8oxzGxeo7TtSpWiVi0dPFzspqUNUEkZJzrXbpg1YaoT3aDxYhe9qtpsn1JsLbj9Y\nkCrJ3ZvHjEYjJqMxWku2uxUuWBaLGaPRiMWdl9hut3z45JTlxZJZqDm/uEQIwWQyQWeaJ89O0UqS\nZxotQCuw3jMfpSRJhlSBvl9zWlua/Z7XXnuNV49epmka1us1q7eX3Lx5k6qzOC9IiymPPnhKXmZx\nCNpXZFqxmE2RmwnW1dy4XUYIqey4ePar3L01Y7l8whc/ewdlck6fX9J1DeNyhJSKcVnQ+5pXX/sk\nVd2zXCckVvLhsxptbhBuH8fiYz02RMHX0+fPePzeQ6y15MUoFsJJimgFRVIym0wZlYY/8Pu/wo1f\nmfDVX/g6eWJo2wpdDP7+3iMVAz34o529Hz7234PT/vHOPojIQTfGEOxhIxggCuKANE1TxuMSKbuh\neYpFUeo4e4jFTyBCNN57/PhxbJS6jrwoaIcZwkcN52JTFb2SND6Iq5lYCIfOfuBKiqga/m4wzqGz\n/+IXf+/AVxc0bROdJhnYdFLG59+LqIXxgQNFxoaWVJn4XpyIGgkhooeSGCTBIhZ1hMd6h1bRDpoQ\naOuO0Z1jJAotDa4P7Ha7yP8P/mpzzNKU+XSKt89JM41rep49P8X6CJ/6AWo1xtDQsFqv6XtHUY7Y\nE5u03cYS9ARpHF41nJ1fMk4KRvkG31WcPm+YH4EpFzw5f/rxX/9v+/q+KPaHgnzl76E1fd9d7eww\nsBaUoq47JArpPd4HvG0o8mta18H8KAw7fSCyciCqaF3fs9pccLk8Z1IkuN5evd4HhuFkoCwyEpGg\nUaQyBmM4HwuTCT0mkTQmCqryfEyWj3AE6qbFhRDzOYNFCYUUCYlJh/cXhk7DIpTEhYDDoZVCIlBK\ng1TRqmE4cgZ6EJoQDmlE1/47hw5QKkHoD3jlIHnncLAR1w+U/HhiEggkKkjU4BV/vJhRJD3TcUa1\n3bJcnuNtjxISnRjOzpd0fUPdtWy2Dzk5uUXbWYrxlHvFlFL2JEkSLWZHZXxobRc7MteAs3Rtg3OW\nfbXB+YwsifdnPCmYzcdcLM8IIXB8vGCxmLHp4fnzU4rZnCQv2HQdJzdvU9d7hBZ0vaXtHXXbcStf\nsNpd8O673+YTr92jtjuU9lwuP8Q6WK+fU45m5EWClDAel+y2a6xrh+LhsV3LdLxA3i1Znn/AYjal\nqVs6Z0kygVYJk9lA9+t6mr6LZm/1nlBZGtOgQhzcCRHZHl/+8pf5mZ/9Z5hEkecFvbouwlfCwY9d\n301Y9Ztd115KH/3KF/n68ST8nT/v45YSAb4LZn/99x+/jDH09mBO+L3fz/eCcV7E7A8wVOyqPzbH\nCAMs87GbE7/mcIq9NjO8uo/CE9k7H32fYtiADrDOgf8vwlBPXghqkYErS+t+yK2w3tO2/UeM7A7i\ntRDCVS2LFsrxskN4DzL+vK7rmKoMM8wdux6SrESohO63uwi+y/V9Uex9sOzsFhcsrdecXmwwmWS5\nfcqrN+a0fYdWY9qqxckZVoAQLUILdCIQOmNUztmcfUiiAqpZUm+fIEUcunbNHmcbXFvHHE8CJSB6\niQaSoqB3DnxCliYoPSIrSoxOMVnKaDSKBbRXGCMIbs3F+XMWt27x8O1H3Lo3pt5XCCUwIpAnCrot\nQWusTPASeh/o9zW62iO2W9RsjlAF865GWEWvNV5A3XeoYKgvO04Wc87We6QvaH1CLj2CPjLmRMAT\n2FuNym8SdMnZ+gkn9yx2H73GtXIIHKFtCFgmJsf2FXdvJujwlODPmO4TTFahNNR2iUkdWsNJaZhO\nxuTKRAvkBh4/fYjWmlFZcnS0QAvJaw9+gPXlkixYiiJhMi6hid76Sgm0qZEZTGfTwXBrgrWRfZFl\nGc3qEqUFRkYHy+A7bt48wruevm+p92ta7zGlIR3nSNngfI9xe9pLy7iYkZiM05Wn7wNqPOa95a9T\nliUqjPjGt54wmUy4efMe1faM0Pes1w3biyXHR7dJvGG/3uCdpd7E3IDHl89JkoTj4w3lKNDcvUS4\nBUKkeG84W15ikkAxmbGcnVD5BGFSHj9fsq9rel0ymUwQAS4uzums4pvfeIs333yT3/d7vsTP//zP\nU0jLajulKASjkcENOLLTI2yjkEwQQdG0e8qypGt1tNMW0UxMIgihZ7dtKfMxUkToRguFEhYVemyV\nMStGeN6N3e3uPmerjHJ0gigaOlujTIoXPVKZ6BoZPN53BCHofE8QiifPPkBnCpFImq6mnIxpuw6l\ncgg6nhykRwhD5xRt60iTPJqW+zho7w+6GG8ISmFtQyBgvR0gmVhwf+Grv8C0nDHOJngnaBoLjUHb\njOAUqS5wLiAH11mlJEE6ehv1HraH8WIKrSfXcrCE9jjn6fHoVNN0lmCfY0KO7IqY/qYsq80HmFzR\nuTkCg5c1Pqmp+1PS6TG9zlBJQKg1JrH49jkn4xl13SKLjLfy2xSt5XOX7/L6lz7LO3cCE1PziXdP\nmW3nfOPDPftkz2hU0YsZu6WgqPak6hKzSbErT5095sErOd/8oKc1cO84p9RdpPv+Dgv+90WxF0KC\nUySmQEuDIApTgj1M19UQCi9IVH+FKwIYAbZv8K7B2YrOe7SBs7MzBBF7NwqCCyhprlSxCHHlhqmM\nQUhD3XrGkzl5McfoFJWkMbjEyGsbho9I3a+7F601Qgmsj93ai6Zn1xbFHzXeih77L3COX7gnL3p+\nH/DCg5d9/D7xc4mWA3fZ40NH8B3CxwGbIrJrfN9gQ4sUlkQLjFCkqSbR0G62GJNRty2T2RilBCo4\ntFTcOrkB1rFdbijzgkYUaK2ZT2cURYbvLe88fAfXR0w20RllMaWcSry3CAFSxd9BVe3puo62jWEU\naZpfBXIkOj6Q/RCq8eidR2gjSLWiKDOEgK6Oa93ajkAcTCdK0zQVUkpef+0Vmqbn3Xe+TV5mVPtI\nrdVS8MF73yY1mq5t4n13jmq/Rw3H9ySdXBl1ee/ZVzvS1DAaRRfUxfyIahcHmyEEnO8QWpGPYoh7\n5hVeapZrj+ssy8szFpOCyXTCOL8NInrgnJ8957XXXuXb336XoijYP96xWp+y2Z5TjEom0yl2X4Nv\nkcqhtCBg6foabRxSxIG6EJHzGGxPoCMEi8BGhoqQJEkWcXoRfZjkMCNCwna7ZjTOoiHYFYzCUEj8\nVQcchYc5Pig2m81VlyolVxYg14yfuDwPBmx9Z6869INu5modfxe20VAFgJh3G608ourV9u5q/b94\nkngRQweufsbhWbuuLdcbyYumctYd5nzhKtjFueuOPHiuKKEQTyzBaKQOOOso0ozMJAN0pmibnr6N\nz0Hv4NVXX0VYQMbnuPeO1XZDGHmm5XiYC1o6F5PF/CGQSEayyunyAttDrlNc7w8C4d/R9X1R7KVQ\ndHtLlkhER8RP05LOWqS1JGicbaGzyP4x1gf2dTsEU1tc20DoCU2NVoHUSIySA8f42r/igG+mWYEx\nZnBOlOz3Z2ipWW4vmaYlxXge4RUXYzZTDEIngxO3vfq+QghMouj6hkTHjM4QoiI1MQYTxs9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TGGvqkwyQDtDNxlGwIE8ZHY0SurBinRxlwX+yCurA+AK4WjUor+BU70gZ/r2g6LA++QoUNg6eod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7qCqf0nWtksNwnUoWA0yip5WRmbDE0+c8SikNkWscp4HrOsSxwrIMlGzbkn7f0F4Nrbbw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\nQNaV/bqsy7qsy1kg/z/PFUe0pnmlVgAAAABJRU5ErkJggg==\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x7f1eefb07d90>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"test_dataset = DogsCatsDataset(\"test1\")\n",
"image, _ = test_dataset[0]\n",
"image = image[np.newaxis, :]\n",
"workspace.FeedBlob(\"data\", image, device_option=device_option)\n",
"workspace.RunNetOnce(deploy_model.net)\n",
"result = workspace.FetchBlob(\"softmax\")[0]\n",
"skimage.io.imshow(test_dataset.image_files[0])\n",
"print(\"dog={:g} cat={:g}\".format(result[0], result[1]))"
]
}
],
"metadata": {
"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": "2.7.12"
}
},
"nbformat": 4,
"nbformat_minor": 2
}
@paghdv
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paghdv commented Feb 14, 2018

Hey do you know why could I be getting:

File "/usr/local/caffe2/python/workspace.py", line 163, in CreateNet
StringifyProto(net), overwrite,
File "/usr/local/caffe2/python/workspace.py", line 189, in CallWithExceptionIntercept
return func(*args, **kwargs)
MemoryError: std::bad_alloc

while executing line:
workspace.CreateNet(train_model.net, overwrite=True)

@VanDavv
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VanDavv commented Aug 22, 2018

I'm also having std::bad_alloc error. @paghdv have you managed to make the code working?

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