diff --git a/Patrick-simpleNN.ipynb b/Patrick-simpleNN.ipynb new file mode 100644 index 0000000000000000000000000000000000000000..713d495312e132b51f1e77a6f6dac11aa8c49d04 --- /dev/null +++ b/Patrick-simpleNN.ipynb @@ -0,0 +1,600 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 1, + "metadata": { + "scrolled": true + }, + "outputs": [ + { + "data": { + "text/plain": [ + "<matplotlib.image.AxesImage at 0x7fe8643acc40>" + ] + }, + "execution_count": 1, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "<Figure size 432x288 with 2 Axes>" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "import dival.datasets.lodopab_dataset as lodopab\n", + "import matplotlib.pyplot as plt\n", + "\n", + "dataset = lodopab.LoDoPaBDataset(impl='skimage')\n", + "sample_observ, sample_ground_truth = dataset.get_sample(1231)\n", + "plt.subplot(1, 2, 1)\n", + "plt.imshow(sample_observ)\n", + "plt.subplot(1, 2, 2)\n", + "plt.imshow(sample_ground_truth)" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": { + "scrolled": true + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Net2(\n", + " (CL1): Conv2d(1, 4, kernel_size=(2, 2), stride=(1, 1))\n", + " (PL1): MaxPool2d(kernel_size=2, stride=2, padding=0, dilation=1, ceil_mode=False)\n", + " (CL2): Conv2d(4, 8, kernel_size=(2, 2), stride=(1, 1))\n", + " (PL2): MaxPool2d(kernel_size=2, stride=2, padding=0, dilation=1, ceil_mode=False)\n", + " (CL3): Conv2d(8, 8, kernel_size=(2, 2), stride=(1, 1))\n", + " (PL3): MaxPool2d(kernel_size=2, stride=2, padding=0, dilation=1, ceil_mode=False)\n", + " (CL4): Conv2d(8, 16, kernel_size=(2, 2), stride=(1, 1))\n", + " (PL4): MaxPool2d(kernel_size=2, stride=2, padding=0, dilation=1, ceil_mode=False)\n", + " (CL5): Conv2d(16, 32, kernel_size=(2, 2), stride=(1, 1))\n", + " (PL5): MaxPool2d(kernel_size=2, stride=2, padding=0, dilation=1, ceil_mode=False)\n", + " (CL6): Conv2d(32, 16, kernel_size=(2, 2), stride=(1, 1))\n", + " (PL6): MaxPool2d(kernel_size=2, stride=2, padding=0, dilation=1, ceil_mode=False)\n", + " (Layer7): Linear(in_features=1568, out_features=131044, bias=True)\n", + ")\n", + "cuda\n", + "48\n" + ] + } + ], + "source": [ + "import torch\n", + "import torch.nn as nn\n", + "import torch.nn.functional as F\n", + "import sys as sys\n", + "from skimage.transform import resize\n", + "\n", + "'''\n", + "Parameters given by the dataset\n", + "input: 1000*513\n", + "output: 362*362\n", + "\n", + "train_len = 35820\n", + "validation_len = 3522\n", + "test_len = 3553\n", + "\n", + "'''\n", + "class Net(nn.Module):\n", + " \"\"\"\n", + " Defines a NN with 4 hidden layers with 200 nodes each. All layers are fully connected.\n", + " Uses ReLu activation function after each layer.\n", + " \"\"\"\n", + " def __init__(self):\n", + " super(Net, self).__init__()\n", + " #define each layer:\n", + " self.inputlayer = nn.Linear(1000*513, 200, True)\n", + " self.layer2 = nn.Linear(200,200, True)\n", + " self.layer3 = nn.Linear(200, 200, True)\n", + " self.layer4 = nn.Linear(200, 200, True)\n", + " self.layer5 = nn.Linear(200, 362*362, True)\n", + "\n", + "\n", + " \n", + " def forward(self, inp):\n", + " \"\"\"\n", + " Computes the output of the NN for the input inp. \n", + " Applies Layers and the activation function.\n", + " \"\"\"\n", + " x = self.inputlayer(inp)\n", + " x = F.relu(x)\n", + " \n", + " x = self.layer2(x)\n", + " x = F.relu(x)\n", + " \n", + " x = self.layer3(x)\n", + " x = F.relu(x)\n", + " \n", + " x = self.layer4(x)\n", + " x = F.relu(x)\n", + " \n", + " x = self.layer5(x)\n", + " x = F.relu(x)\n", + " return x\n", + " \n", + "class Net2(nn.Module):\n", + " def __init__(self):\n", + " super(Net2, self).__init__()\n", + " \n", + " self.CL1 = nn.Conv2d(1, 4, 2)\n", + " self.PL1 = nn.MaxPool2d(2) #output ~ 250 x 500 x 16\n", + " \n", + " self.CL2 = nn.Conv2d(4, 8, 2)\n", + " self.PL2 = nn.MaxPool2d(2) #output ~ 120 x 250 x 32\n", + " \n", + " self.CL3 = nn.Conv2d(8, 8, 2)\n", + " self.PL3 = nn.MaxPool2d(2) #output ~ 60 x 120 x 64\n", + " \n", + " self.CL4 = nn.Conv2d(8, 16, 2)\n", + " self.PL4 = nn.MaxPool2d(2) #output torch.Size([1, 128, 61, 31])\n", + " \n", + " self.CL5 = nn.Conv2d(16, 32, 2)\n", + " self.PL5 = nn.MaxPool2d(2) #torch.Size([1, 128, 30, 15])\n", + " \n", + " self.CL6 = nn.Conv2d(32, 16, 2)\n", + " self.PL6 = nn.MaxPool2d(2) #torch.Size([1, 16, 14, 7])\n", + " \n", + " self.Layer7 = nn.Linear(16*14*7, 362*362)\n", + " \n", + "\n", + " \n", + " def forward(self, inp): #inp is a vector of inputsize\n", + " x = inp.reshape(1,1,1000,513)\n", + " \n", + " x = F.relu(self.CL1(x))\n", + " x = self.PL1(x)\n", + " \n", + " x = F.relu(self.CL2(x))\n", + " x = self.PL2(x)\n", + " \n", + " x = F.relu(self.CL3(x))\n", + " x = self.PL3(x)\n", + " \n", + " x = F.relu(self.CL4(x))\n", + " x = self.PL4(x)\n", + " #torch.Size([1, 128, 61, 31])\n", + " x = F.relu(self.CL5(x))\n", + " x = self.PL5(x)\n", + " \n", + " x = F.relu(self.CL6(x))\n", + " x = self.PL6(x)\n", + " \n", + " x = x.reshape(16*14*7)\n", + " x = self.Layer7(x)\n", + " \n", + " return x\n", + " \n", + "\n", + "\n", + " \n", + " \n", + "mynet = Net()\n", + "mynet2 = Net2()\n", + "print(mynet2)\n", + "device = 'cuda' if torch.cuda.is_available() else 'cpu'\n", + "print(device)\n", + "print(sys.getsizeof(mynet2))" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": {}, + "outputs": [], + "source": [ + "\"\"\"\n", + "Trains the defined model with the Adam-optimizer, the mean-squared-loss-function and learning rate lr.\n", + "\"\"\"\n", + "model = mynet2\n", + "lossf = nn.MSELoss()\n", + "lr=1e-3\n", + "optimizer = torch.optim.Adam(model.parameters(), lr = lr)\n", + "epochs = 5\n", + "batch_size = 200\n", + "test_batch_size = 50\n", + "\n", + "\n", + "def train(data, model, lossf, optimizer):\n", + " loss = 0\n", + " for n in range(batch_size):\n", + " #loop over each data point in the epch\n", + " prediction = model(torch.from_numpy(data[0][n]).reshape(513*1000))\n", + " loss = lossf(prediction.reshape(362*362), torch.from_numpy(data[1][n]).reshape(362*362))\n", + " optimizer.zero_grad() #reset the gradient\n", + " loss.backward() #calculate the gradient depending on the variable loss\n", + " optimizer.step() #calculate the optimize-step\n", + " \n", + "def test(data, model, lossf):\n", + " \"\"\"\n", + " Gives the averages loss over the given data\n", + " \"\"\"\n", + " size = len(data)\n", + " loss = 0\n", + " for n in range(test_batch_size):\n", + " prediction = model(torch.from_numpy(data[0][n]).reshape(513*1000))\n", + " loss += lossf(prediction.reshape(362*362), torch.from_numpy(data[1][n]).reshape(362*362))\n", + " loss /= size\n", + " return loss\n", + " " + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "scrolled": false + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "0\n", + "tensor(0.2946, grad_fn=<SelectBackward>)\n", + "1\n", + "tensor(0.2938, grad_fn=<SelectBackward>)\n", + "2\n", + "tensor(0.3002, grad_fn=<SelectBackward>)\n", + "3\n", + "tensor(0.2889, grad_fn=<SelectBackward>)\n", + "4\n" + ] + } + ], + "source": [ + "\"\"\"\n", + "Trains the model. Prints the current loss and epoch. Saves the loss for each epoch.\n", + "\"\"\"\n", + "loss_tens = torch.zeros(epochs)\n", + "for n in range(epochs):\n", + " if n == 20:\n", + " optimizer = torch.optim.Adam(model.parameters(), lr = 1e-3)\n", + " torch.save(mynet, \"save-6convlayer\"+n%40+\".pt\")\n", + " if n == 40:\n", + " optimizer = torch.optim.Adam(model.parameters(), lr = 1e-4)\n", + " torch.save(mynet, \"save-6convlayer\"+n%40+\".pt\")\n", + " print(n)\n", + " train(dataset.get_samples(slice(n*batch_size,(n+1)*batch_size,1)), model, lossf, optimizer)\n", + " loss_tens[n] = test(dataset.get_samples(slice(0,test_batch_size,1), part=\"test\"), model, lossf)\n", + " print(loss_tens[n])\n", + "print(loss_tens)\n", + " " + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": { + "scrolled": true + }, + "outputs": [ + { + "data": { + "text/plain": [ + "[<matplotlib.lines.Line2D at 0x7fe8621cbf10>]" + ] + }, + "execution_count": 5, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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PyFbVrSIyV0TmtnSBxjhRM8Bs+ggbYBYpatot91i7ZYNinCxS1ZXAyjrP1XfhFVW9+wLPfwx83KjqjHHgXGUVyzcVct1lNsAs0kwa0pVvZPjaLaePSLV//xdgn4w1Ie+DbYc5UVrBbLsIG3FEhEemWrtlQyzoTchblOMlNbEdE22AWUSydsuGWdCbkFZ44iyr849yiw0wi2g/u26Q72bi7+ShWrf721jQm5C2xOMfYDY6ze1SjIu6tI/j/kkZfLKziI932Acu67KgNyGrZoDZxAE2wMz42i37WbtlvSzoTcj6dE8xBcfP2idhDeBvt5zqa7d8+VNrtwxkQW9C1qIcL51sgJkJcO3gmnbLnTbdMoAFvQlJJaUVvLv1ENNH2gAzc17NdMvT5yqt3TKABb0JSW/aADNzAQO7deS7V/ThlfX72WntloAFvQlR2R4vmT06MTQ1we1STBD66XUDaR8XzWNvb7N2SyzoTQjaeqCELYUnmZVlLZWmfl3ax3H/5IH8Y9dRa7fEgt6EoMWeAt8As5E2wMxc2J3j+li7pZ8FvQkpZRVVLNtYyLcu60ZivA2wMhdm7ZbnWdCbkPLBtsOUnK2wm38bR6zd0seC3oSUbI9/gFl/G2BmGhbYbvlEBLdbWtCbkFFwvJTV+UeZOTqNKBtgZhyqabd8NYLbLS3oTchYklsAwK3WbWMaKdLbLS3oTUiorlYWewqY2D+ZtM42wMw0TmC75d93RN7NxC3oTUhYu7uYwhNnmWUXYc0lqmm3fPztvIhrt7SgNyFhkcdLQrtYvpXZze1STIiKi4nikRuHsOdo5LVbOgp6EZkiIjtEJF9EHrrIujEiUiUiM/2Pe4nI30UkT0S2isj9zVW4iRwnSst5b+shpo/oaQPMTJNcM+h8u+WxCGq3bDDoRSQaeBq4HsgEbhORzAus+y3wXsDTlcDPVXUIMA64r75tjbmYNzcdoLyymlttgJlpopp2yzPlVRE13dLJEf1YIF9V96hqObAQmFbPuvnAUqD2SoeqHlTVDf6vTwF5gH1u3TRKtsfLZT1tgJlpHr52y94R1W7pJOhTAW/A4wLqhLWIpAIzgOcu9E1EJB0YCay/wOv3iIhHRDxFRTaEyPhsKSxh64GTNo7YNKsHJkdWu6WToK/vkyl198yTwIOqWlXvNxDpgO9o/wFVPVnfGlVdoKpZqpqVkpLioCwTCRZ7vMTFRDFtRE+3SzFhJNLaLZ0EfQEQeDiVBhyosyYLWCgi+4CZwDMiMh1ARGLxhfyrqvpGkys2EaOsoorlmw7w7cu62wAz0+zuGt+HfimR0W7pJOhzgAwR6SsiccAcYEXgAlXtq6rpqpoOLAHuVdXlIiLAC0Ceqv53M9duwtz7NQPM7LSNaQGx0VE8MtXXbvlSmLdbNhj0qloJzMPXTZMHZKvqVhGZKyJzG9h8InAncK2IbPL/c0OTqzYRITvHN8BsQv8kt0sxYaqm3fJ3Yd5uGeNkkaquBFbWea7eC6+qenfA16up/xy/MRflPVbKmt1HuX9Shg0wMy2mpt3y+t/9gydX7eT/TRvqdkktwj4Za4JSzQCzmaNtgJlpWZHQbmlBb4JOdbWyJLeAKwfYADPTOn4a5u2WFvQm6KzZfdQ3wMwuwppW0rl9HA+EcbulBb0JOotyfAPMrrMBZqYV3RnQblleGV7tlhb0JqicKC3n/a2HmTEy1QaYmVYVGx3Fo1MzfdMt14VXu6UFvQkqyzcWUl5VbXeRMq64elAKVw1MCbt2Swt6E1SyPQUMTe3EZT1tgJlpfSLCo1OHcKa8iic+CJ/plhb0JmhsKSxh20EbYGbcldGtI3dc0ZtX13/JjkPh0W5pQW+CRnbNALPhNsnauOuByQPp0CaGx98Jj3ZLC3oTFMoqqli+sZApl3UnIT7W7XJMhAtst/xoe+i3W1rQm6Dw3tZDnCyrZLbd/NsEiZp2y1+9E/rtlhb0Jihke7ykdW7H+H42wMwEh8B2y5c+3ed2OU1iQW9c5z1Wypr8Ym4d3csGmJmgUttu+eGukG63tKA3rlucW4AIzLTeeRNkatotS0O83dKC3riqqlpZ4vFy5YBkUhPbuV2OMV8TDu2WFvTGVWvyj3KgpMwuwpqg9sDkgXRsGxuy0y0t6I2rFnm8JMbbADMT3Hztlhmszg/NdksLeuOa42fK+WDrYaaPSKVNjA0wM8HtjnH+6ZYh2G5pQW9cs3yTb4CZjTwwoaCm3XJvCLZbWtAbV6gqi3K8DEtNILNnJ7fLMcaRawZ35Zsh2G7pKOhFZIqI7BCRfBF56CLrxohIlYjMbOy2JrJsKTzJ9kOnmGUtlSbEPOJvt/zvD3a4XYpjDQa9iEQDTwPXA5nAbSKSeYF1vwXea+y2JvJke7y0iYniphE2wMyElpp2y9fW7w+ZdksnR/RjgXxV3aOq5cBCYFo96+YDS4Ejl7CtiSBlFVUs31TIlKHdSWhnA8xM6Am1dksnQZ8KeAMeF/ifqyUiqcAM4LnGbhvwPe4REY+IeIqKihyUZULVe1sPcaqsktl2EdaEqMB2yw/zgr/d0knQ1zd8pO5/wp4EHlTVqkvY1vek6gJVzVLVrJSUFAdlmVC1KMdLry7tGGcDzEwIu2NcH/qntOdXK4O/3dJJ0BcAgYdeacCBOmuygIUisg+YCTwjItMdbmsiiPdYKWt32wAzE/pio6N45MbQaLd0EvQ5QIaI9BWROGAOsCJwgar2VdV0VU0HlgD3qupyJ9uayLLY4/UNMBtt3TYm9F0z6Hy7ZfHpc26Xc0ENBr2qVgLz8HXT5AHZqrpVROaKyNxL2bbpZZtQVFWtLMkt4BsZKfS0AWYmTDx6o3+65argnW4Z42SRqq4EVtZ5ru6F15rn725oWxOZVvsHmD081TpsTfgY0LUjd47rw0uf7uPOcekM6t7R7ZK+xj4Za1pNdo6XzvGxTM7s6nYpxjSr+ydlBHW7pQW9aRXHzpTz/rZDTB9pA8xM+OncPo6fBnG7pQW9aRXLNxZSUaU2wMyEre8GcbulBb1pcapKtsfL5WkJDOlhA8xMeArmdksLetPivigsYfuhU9xqR/MmzF0zqCtXDwq+dksLetPiageYDe/pdinGtLia6ZbB1G5pQW9aVFlFFW9uOsD1NsDMRIiadsvX1u9n+6GTbpcDWNCbFvbuFt8As1l2828TQR6YHFztlhb0pkUtyvHSu0s84/raADMTORLjfe2Wa/KLg6Ld0oLetJj9xaV8uqeYW0en2QAzE3G+O64PA7p2CIp2Swt602IW5/oHmNntAk0Eio2O4pGpQ4Ki3TKsgv4fu4o4WVbhdhmG8wPMrspIoUeCDTAzkenqIGm3DJugP36mnLkv5zL96TXsLjrtdjkR7x+7ijhYUsZsuwhrItz5m4m7124ZNkHfuX0cf757DCWlFUx/ag0f5h12u6SIlu3xDTCbNMQGmJnIVtNu+fpn7rVbhk3QA1zRL4kV86+kT3I8P3jJw1Mf7QqK1qZIc+xMOR9sO8yMkWk2wMwY3G+3DKugB0hNbMfiH03gpuE9+c/3d3Lfaxs4c67S7bIiyrKaAWZj7CKsMfDVdstVLrRbhl3QA7SLi+bJ2SN4+IYhvLvlELc8u5b9xaVulxURVJXFHi/D0xIY3N0GmBlTo7bd8p1trd5uGZZBDyAi/PCqfvzln8dysKSM7zy1mtW7jrpdVtj7vMAGmBlTn5p2y33Fpa3ebhm2QV/jqoEprJg3kW6d2nDXn9fz/D/22Hn7FlQ7wGyEDTAzpi632i0dBb2ITBGRHSKSLyIP1fP6NBH5XEQ2iYhHRK4MeO2nIrJVRLaIyOsi0rY5fwAn+iS15417J/KtzO48/k4eP8veTFlFVWuXEfbOllexYtMBbhjWg05tbYCZMfV5ZGpmq7dbNhj0IhINPA1cD2QCt4lI3bs7fwgMV9URwPeA5/3bpgI/AbJUdSgQDcxpvvKd69Amhme+O4qfXzeQZRsLufW5Tzlw4qwbpYStd7ce5NS5SruLlDEXMaBrh1Zvt3RyRD8WyFfVPapaDiwEpgUuUNXTev58SHsg8NxIDNBORGKAeOBA08u+NFFRwvxJGTx/VxZ7j57hpqdW89neY26VE3YW5XjpkxTPuH5d3C7FmKD2wOQMOrVrvXZLJ0GfCngDHhf4n/sKEZkhItuBd/Ad1aOqhcB/AvuBg0CJqr5f35uIyD3+0z6eoqKixv0UjTQ5sxvL75tAx7ax3P6ndbyy7ssWfb9I8GXxGdbtOcato9MQsQFmxlyMr91yYKu1WzoJ+vr+ar/2nyBVXaaqg4HpwGMAItIZ39F/X6An0F5E7qjvTVR1gapmqWpWSkqK0/ov2YCuHVl+30S+kZHMI8u38Ms3vnB9wlwoW+wpIErgltHWO2+ME7df0bvV2i2dBH0BEHjSNY2LnH5R1U+A/iKSDEwG9qpqkapWAG8AE5pQb7NKaBfL8/80hnuv7s/rn+3ntj+t48jJMrfLCjm1A8wG2gAzY5yKjY7i0Rsz2Vdcyl/X7mvR93IS9DlAhoj0FZE4fBdTVwQuEJEB4v//dREZBcQBxfhO2YwTkXj/65OAvOb8AZoqOkr4xZTBPHX7SLYdOMl3nlrNJu8Jt8sKKZ/sKuLQyTJm20VYYxrlmwNTuGZQCr9v4XbLBoNeVSuBecB7+EI6W1W3ishcEZnrX3YLsEVENuHr0JmtPuuBJcAG4Av/+y1ogZ+jyW68vCdLfzyB2OgoZv3xU5bkFrhdUsjIzvHSpX0ck4Z0c7sUY0LOw1MzOVvRsu2WEowfHsrKylKPx+PKex8/U859r21g7e5i7p6QzsNThxAbHfafK7tkxafPMe7XH3LX+HQevbFu160xxol/e2srf127j3d+8g2G9Li00SEikquqWfW9ZglWR+f2cbz0vbF8b2Jf/rJ2H3e98BnHzpS7XVbQqh1gZqdtjLlk90/ytVs+/k7LtFta0NcjJjqKf/lOJv9163By9x/npqdWs+2AO3Okg5mqku3xMrxXIoO6d3S7HGNCVmJ8HD+7biCJ7eIoq2j+DhwL+ou4ZXQai380nsoq5eZn1/DWZtc+6xWUNheUsPPwaWbZPWGNabI7x/Xh6e+Ool1c89/DwYK+AcN7JbJi/kSG9kxg/usb+e2726mqDr7rGm7I9nhpGxvFd4bbADNjmqolP2hoQe9A145tee2H47htbG+e/Xg33/9rDiVnI/sm5GfLq3hr0wFuGGoDzIwJdhb0DsXFRPHrm4fxqxlDWb3rKNOfXsOuw6fcLss1f9viH2BmN/82JuhZ0DfSd6/ow+v3jONUWSUznlnL+1sPuV2SKxbleElPiueKvjbAzJhgZ0F/Ccakd+Gt+RPpl9Kee17O5XerdlEdQeft9x09w/q9x7g1q5cNMDMmBFjQX6IeCe3I/tF4bh6ZyhOrdvLjV3M5HSE3IV+c6/UNMBtl3TbGhAIL+iZoGxvNf80azqM3ZrIq7wg3P7OGfUfPuF1Wi6oZYPbNgSl0T2j1m4UZYy6BBX0TiQjfv7IvL31vLEdOneOmp1bzyc6Wnafvpk92FnH45Dlm20VYY0KGBX0zmTggmRX3XUnPxHbc/eJnLPhkd1jehHxRjpek9nFcO9gGmBkTKizom1HvpHjeuHcC1w/twb+v3M4DizZxtjx8bkJefPocq/IOM2NkKnEx9qtjTKiwv9ZmFh8Xw1O3j+R/f3sQKzYfYOZzayk4Xup2Wc1i2cZCKqvVeueNCTEW9C1ARLjvmgG88E9Z7C8u5aan1rBuT7HbZTWJqrIox8uIXokM7GYDzIwJJRb0Lejawd1YPm8ineNjueP59bz06b6QPW+/yXuCXUdO2zhiY0KQBX0L65/SgWX3TeTqQSn8y5tbeXDp55yrDL3z9tmeAv8Asx5ul2KMaSQL+lbQqW0sC+7MYv61A8j2FDBnwToOh9BNyEvLK3lr8wFuGNaDjjbAzJiQY0HfSqKihJ9/axDPfncUOw6d4jt/WM2G/cfdLsuRv31xiNPnKu3m38aEKAv6Vnb9sB68ce8E2sZGM+eP68jO8bpdUoMWeXwDzMbaADNjQpKjoBeRKSKyQ0TyReShel6fJiKfi8gmEfGIyJUBryWKyBIR2bsLjjIAAAptSURBVC4ieSIyvjl/gFA0uHsnVsybyBX9uvCLpZ/zr29uoaKq+W8f1hz2Hj3DZzbAzJiQ1mDQi0g08DRwPZAJ3CYimXWWfQgMV9URwPeA5wNe+x3wrqoOBoYDec1ReKhLjI/jxbvH8MNv9OWvn37JHc+vp/j0ObfL+prFHt8As5mjbYCZMaHKyRH9WCBfVfeoajmwEJgWuEBVT+v5vsH2gAKISCfgKuAF/7pyVT3RXMWHupjoKB6emsmTs0ewyXuCm55aw5bCErfLqlVZVc3SDQVcPagr3TrZADNjQpWToE8FAk8kF/if+woRmSEi24F38B3VA/QDioAXRWSjiDwvIu3rexMRucd/2sdTVBS+Q8HqM31kKkvmTkBVmfncWt7cVOh2SQB8sss3wMx6540JbU6Cvr4Ts1/71I+qLvOfnpkOPOZ/OgYYBTyrqiOBM8DXzvH7t1+gqlmqmpWSkuKo+HAyLC2BFfOv5PLURO5fuIlfr8xz/Sbk5weYdXW1DmNM0zgJ+gIg8JAuDThwocWq+gnQX0SS/dsWqOp6/8tL8AW/qUdyhza88oMruHNcH/74yR7ufvEzSkrduQn50dPn+DDvCDePsgFmxoQ6J3/BOUCGiPQVkThgDrAicIGIDBB/S4aIjALigGJVPQR4RWSQf+kkYFuzVR+G4mKieGz6UH5z8zDW7SnmpqdXs9OFm5Av2+AfYGanbYwJeQ0GvapWAvOA9/B1zGSr6lYRmSsic/3LbgG2iMgmfB06swMuzs4HXhWRz4ERwL839w8RjuaM7c3Ce8ZRWl7FjKfX8F4r3oRcVcn2eBnZO5EMG2BmTMiTYByylZWVpR6Px+0ygsKhkjJ+9Eoum70n+MmkDB6YlEFUVMv2s2/Yf5ybn1nLr28exm1je7foexljmoeI5KpqVn2v2cnXINc9oS2L7hnHraPT+P2Hu7jn5VxOlbXsefvFHi/tYqO58XIbYGZMOLCgDwFtY6P5j5mX83+/k8nfdxxhxjNr2VN0ukXeyzfA7KANMDMmjFjQhwgR4e6JfXn5+2MpPn2OaU+v4e87jjT7+6ysGWBmd5EyJmxY0IeYCf2TWTHvSnp1jud7f8nhmY/zm/VmJtk5Xvomt2dMeudm+57GGHdZ0IegXl3iWfrjCUwd1oP/eHcH81/fSGl5ZZO/756i03y27xi3ZqXZADNjwogFfYhqFxfNH24byYNTBvPOFwe55dlP8R5r2k3IF+cWEB0lzBxlA8yMCScW9CFMRPjx1f158e4xFB4v5aanVrN299FL+l6VVdUszS3g6oEpdLUBZsaEFQv6MHD1oK68Oe9Kkju04c4XPuPFNXsbfd7+f3YWceTUOWbZRVhjwo4FfZjom9yeZfdN5NrBXfm3t7bxvxZ/TlmF85uQL8rxktzBBpgZE44s6MNIhzYx/PGO0TwwOYOlGwqYvWAdh0oavgl50alzfLT9CDePSiM22n4ljAk39lcdZqKihAcmD+SPd44m//ApbvzDanK/PHbRbZZtLPAPMLOLsMaEIwv6MPXty7qz7L6JdGgTzZwF63j9s/31rvMNMCtgVO9EBnS1AWbGhCML+jA2sFtH3rzvSsb3T+aXb3zBI8u/oLzyqzch37D/BPlHTts4YmPCmAV9mEuIj+XFu8cw95v9eWXdfu54fj1Fp87fhLx2gNnwni5WaYxpSRb0ESA6Snjo+sH8/raRfF54gpueWs0XBSWcOVfJW5sPMPXyHnRoE+N2mcaYFmJ/3RHkpuE96Zfcnh+9nMvM59ZyXWY3zpRX2QAzY8KcHdFHmKGpCayYN5GRvRN5+/OD9EtuT1YfG2BmTDizI/oIlNShDS9//wr+9I89DEtNsAFmxoQ5C/oIFRsdxb1XD3C7DGNMK3B06kZEpojIDhHJF5GH6nl9moh8LiKbRMQjIlfWeT1aRDaKyNvNVbgxxhhnGgx6EYkGngauBzKB20Qks86yD4HhqjoC+B7wfJ3X7wfyml6uMcaYxnJyRD8WyFfVPapaDiwEpgUuUNXTen5cYnugdnSiiKQBU/l6+BtjjGkFToI+FfAGPC7wP/cVIjJDRLYD7+A7qq/xJPALoLruNsYYY1qek6CvryXja8POVXWZqg4GpgOPAYjIjcARVc1t8E1E7vGf3/cUFRU5KMsYY4wTToK+AAj8RE0acOBCi1X1E6C/iCQDE4GbRGQfvlM+14rIKxfYboGqZqlqVkpKitP6jTHGNMBJ0OcAGSLSV0TigDnAisAFIjJA/M3YIjIKiAOKVfWXqpqmqun+7T5S1Tua9ScwxhhzUQ320atqpYjMA94DooE/q+pWEZnrf/054BbgLhGpAM4Cs7Wx97IzxhjTIiQY81hEioAvL3HzZODS7pDdsqyuxrG6GsfqapxwrKuPqtZ73jsog74pRMSjqllu11GX1dU4VlfjWF2NE2l12VAzY4wJcxb0xhgT5sIx6Be4XcAFWF2NY3U1jtXVOBFVV9idozfGGPNV4XhEb4wxJoAFvTHGhLmQDHoH8/FFRH7vf/1z/6d1g6Guq0WkxD+3f5OI/Esr1fVnETkiIlsu8Lpb+6uhutzaX71E5O8ikiciW0Xk/nrWtPo+c1hXq+8zEWkrIp+JyGZ/Xf9Wzxo39peTulz5HfO/9wXv09Hs+0tVQ+offJ/O3Q30wzdqYTOQWWfNDcDf8A1kGwesD5K6rgbedmGfXQWMArZc4PVW318O63Jrf/UARvm/7gjsDJLfMSd1tfo+8++DDv6vY4H1wLgg2F9O6nLld8z/3j8DXqvv/Zt7f4XiEX2D8/H9j19Sn3VAooj0CIK6XKG+QXPHLrLEjf3lpC5XqOpBVd3g//oUvpvm1B3N3er7zGFdrc6/D077H8b6/6nb5eHG/nJSlyuk4ft0NOv+CsWgdzIf39EMfRfqAhjv/1/Jv4nIZS1ck1Nu7C+nXN1fIpIOjMR3NBjI1X12kbrAhX3mPw2xCTgCfKCqQbG/HNQF7vyONXSfjmbdX6EY9E7m4zuaod/MnLznBnzzKIYDfwCWt3BNTrmxv5xwdX+JSAdgKfCAqp6s+3I9m7TKPmugLlf2mapWqe9WomnAWBEZWmeJK/vLQV2tvr/E2X06mnV/hWLQO5mP36gZ+q1Vl6qerPlfSVVdCcSKb26/29zYXw1yc3+JSCy+MH1VVd+oZ4kr+6yhutz+HVPVE8DHwJQ6L7n6O3ahulzaX07u09Gs+ysUg77B+fj+x3f5r1yPA0pU9aDbdYlId5Hauf1j8e3/4hauywk39leD3Npf/vd8AchT1f++wLJW32dO6nJjn4lIiogk+r9uB0wGttdZ5sb+arAuN/aXOrtPR7Purwbn0QcbdTYffyW+q9b5QCnwz0FS10zgxyJSiW9u/xz1X2JvSSLyOr7ugmQRKQD+Fd+FKdf2l8O6XNlf+I647gS+8J/fBfg/QO+A2tzYZ07qcmOf9QD+KiLR+IIyW1Xfdvtv0mFdbv2OfU1L7i8bgWCMMWEuFE/dGGOMaQQLemOMCXMW9MYYE+Ys6I0xJsxZ0BtjTJizoDfGmDBnQW+MMWHu/wPLnHPkAMwvwAAAAABJRU5ErkJggg==\n", + "text/plain": [ + "<Figure size 432x288 with 1 Axes>" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "#plots the loss over the epochs\n", + "plt.plot(loss_tens.detach().numpy())" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "metadata": { + "scrolled": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "<matplotlib.image.AxesImage at 0x7fe83d5059d0>" + ] + }, + "execution_count": 11, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "<Figure size 432x288 with 3 Axes>" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "\"\"\"\n", + "Plots for a given index the sinogram, reconstruction and ground-truth.\n", + "\"\"\"\n", + "x,y = dataset.get_samples(slice(20,21,1))\n", + "prediction = model((torch.from_numpy(x).reshape(513*1000)))\n", + "plt.subplot(1, 3, 1)\n", + "plt.imshow(torch.from_numpy(x).reshape(1000,513).detach().numpy())\n", + "plt.subplot(1, 3, 2)\n", + "plt.imshow(prediction.reshape(362,362).detach().numpy())\n", + "plt.subplot(1, 3, 3)\n", + "plt.imshow(torch.from_numpy(y).reshape(362,362).detach().numpy())\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "from skimage.metrics import peak_signal_noise_ratio as psnr\n", + "from skimage.metrics import structural_similarity as stsi\n", + "\"\"\"\n", + "Calculates the minimal and maximal pixel data and prints the PSNR and structural similarity \n", + "\"\"\"\n", + "min, max = torch.min(prediction.reshape(362,362)), torch.max(prediction.reshape(362,362))\n", + "PSNR = psnr(torch.from_numpy(y).reshape(362,362).detach().numpy(),prediction.reshape(362,362).detach().numpy()) #the higher the better\n", + "print(min, max)\n", + "print(PSNR)\n", + "print(stsi(torch.from_numpy(y).reshape(362,362).detach().numpy(),prediction.reshape(362,362).detach().numpy()))" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "scrolled": true + }, + "outputs": [], + "source": [ + "torch.save(mynet, \"Patrick-save-4x200linear.pt\") #save to file" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "net2 = torch.load(\"Patrick-save-4x200linear.pt\") #load from file" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "\"\"\"\n", + "Tests if the loaded net works the same as the original on the given data point\n", + "\"\"\"\n", + "x = torch.from_numpy(dataset.get_samples(slice(20,21,1))[0]).reshape(513*1000)\n", + "net2(x).equal(mynet(x))" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Junk" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "'''plt.subplot(1, 3, 2)\n", + "plt.imshow(prediction)\n", + "plt.subplot(1, 3, 3)\n", + "plt.imshow(y)''''" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "'''data=dataset.get_sample(1230)\n", + "print(torch.is_tensor(data))\n", + "data2=torch.as_tensor(data)\n", + "print(torch.is_tensor(data2))\n", + "'''\n", + "data=torch.rand(1000*513)\n", + "print(data)\n", + "print(mynet(data).size()) #131 044 = 362*362\n", + "print(dataset.get_sample(1)[0].type())" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "scrolled": true + }, + "outputs": [], + "source": [ + "from torchvision import transforms\n", + "\n", + "torch.from_numpy(dataset.get_sample(1230)[0])\n", + "print(data)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "data=dataset.get_sample(1231)\n", + "print(torch.as_tensor(data[0][0]).size())" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "import numpy as np\n", + "Transformer = transforms.Compose([\n", + " transforms.ToTensor()\n", + "])\n", + "#Transformer(data[1][0])\n", + "torch.from_numpy(data[1])" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "scrolled": true + }, + "outputs": [], + "source": [ + "x,y = data=dataset.get_samples(slice(0,1,1))\n", + "print(torch.from_numpy(x).reshape(513*1000))\n", + "print(torch.from_numpy(x))" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "scrolled": true + }, + "outputs": [], + "source": [ + "mynet2(torch.from_numpy(x).reshape(513*1000)).shape" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "inp,y = dataset.get_samples(slice(20,21,1))\n", + "inp=torch.from_numpy(inp)\n", + "out=nn.Conv2d(1, 1, 100)(inp.reshape(1,1,1000,513))\n", + "out.size()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "scrolled": true + }, + "outputs": [], + "source": [ + "mynet(torch.from_numpy(data).reshape(513000)).size" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "data=dataset.get_samples(slice(1*batch_size,(1+1)*batch_size,1))[0][1]\n", + "print(data.shape)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "test_batch_size = 500\n", + "test(dataset.get_samples(slice(0,test_batch_size,1), part=\"test\"), model, lossf)\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "for n in range(3):\n", + " x=10**(-n)\n", + " print(x)\n", + " " + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "1e-2\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.8.5" + } + }, + "nbformat": 4, + "nbformat_minor": 4 +}