diff --git a/Patrick-SimpleNN-Maike-Evaluation-Reconstruction.ipynb b/Patrick-SimpleNN-Maike-Evaluation-Reconstruction.ipynb new file mode 100644 index 0000000000000000000000000000000000000000..9ec89ce5f331ac0e6b415fe3787e3f2815897455 --- /dev/null +++ b/Patrick-SimpleNN-Maike-Evaluation-Reconstruction.ipynb @@ -0,0 +1,510 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 24, + "metadata": { + "scrolled": true + }, + "outputs": [ + { + "data": { + "text/plain": [ + "<matplotlib.image.AxesImage at 0x7f6f5d0d3bb0>" + ] + }, + "execution_count": 24, + "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": 25, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Net2(\n", + " (inputlayer): Conv2d(1, 10, kernel_size=(5, 5), stride=(1, 1))\n", + " (layer2): Conv2d(10, 1, kernel_size=(5, 5), stride=(1, 1))\n", + " (layer3): Conv2d(1, 1, kernel_size=(631, 144), stride=(1, 1))\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", + "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", + " def __init__(self):\n", + " super(Net, self).__init__()\n", + " \n", + " self.inputlayer = nn.Linear(1000*513, 3000, True)\n", + " self.layer2 = nn.Linear(3000,362*362, True)\n", + " \"\"\"self.inputlayer = nn.Conv2d(1, 1, (1000-362+1,513-362+1)) #input-channels, output-channels, size of kernel <5; grayscale image -> 1 channel\n", + "\"\"\"\n", + "\n", + " \n", + " def forward(self, inp): #inp is a vector of inputsize\n", + "\n", + " \"\"\"x = self.inputlayer(inp.reshape(1,1,1000,513))\n", + " x.reshape(362*362)\n", + " \n", + " return x\"\"\"\n", + " \n", + " x = self.inputlayer(inp)\n", + " x = F.relu(x)\n", + " \n", + " x = self.layer2(x)\n", + " return x\n", + " \n", + "class Net2(nn.Module):\n", + " def __init__(self):\n", + " super(Net2, self).__init__()\n", + " \n", + " self.inputlayer = nn.Conv2d(1, 10, 5) #input-channels, output-channels, size of kernel <5; grayscale image -> 1 channel\n", + " # size of output: 1 x 10 x 996 x 509\n", + " self.layer2 = nn.Conv2d(10, 1, 5)\n", + " # 1 x 1 x 992 x 505\n", + " self.layer3 = nn.Conv2d(1, 1, (992-362+1, 505-362+1))\n", + " \n", + " \n", + "\n", + " \n", + " def forward(self, inp): #inp is a vector of inputsize\n", + " x = self.inputlayer(inp.reshape(1,1,1000,513))\n", + " x = F.relu(x)\n", + " x = self.layer2(x)\n", + " x = F.relu(x)\n", + " x = self.layer3(x)\n", + " x.reshape(362*362)\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": 26, + "metadata": {}, + "outputs": [], + "source": [ + "model = mynet2\n", + "lossf = nn.MSELoss()\n", + "optimizer = torch.optim.Adam(model.parameters())\n", + "epochs = 10\n", + "batch_size = 100\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", + " 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()\n", + " loss.backward()\n", + " optimizer.step()\n", + " \n", + "def test(data, model, lossf):\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": true + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "0\n", + "tensor(0.9769, grad_fn=<SelectBackward>)\n", + "1\n", + "tensor(0.9689, grad_fn=<SelectBackward>)\n", + "2\n", + "tensor(0.9609, grad_fn=<SelectBackward>)\n", + "3\n" + ] + } + ], + "source": [ + "loss_tens = torch.zeros(epochs)\n", + "for n in range(epochs):\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": 20, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "[<matplotlib.lines.Line2D at 0x7f6f58b81850>]" + ] + }, + "execution_count": 20, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "<Figure size 432x288 with 1 Axes>" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "plt.plot(loss_tens.detach().numpy())" + ] + }, + { + "cell_type": "code", + "execution_count": 21, + "metadata": { + "scrolled": true + }, + "outputs": [ + { + "data": { + "text/plain": [ + "<matplotlib.image.AxesImage at 0x7f6f58abd490>" + ] + }, + "execution_count": 21, + "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": [ + "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": { + "scrolled": true + }, + "outputs": [], + "source": [ + "torch.save(mynet2, \"Patrick-save-simpleconv1.pt\")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "raw", + "metadata": {}, + "source": [] + }, + { + "cell_type": "code", + "execution_count": 22, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "tensor(0., grad_fn=<MinBackward1>) tensor(0., grad_fn=<MaxBackward1>)\n", + "14.3028018302\n", + "0.21823719321\n" + ] + } + ], + "source": [ + "from skimage.metrics import peak_signal_noise_ratio as psnr\n", + "from skimage.metrics import structural_similarity as stsi\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": {}, + "outputs": [], + "source": [] + }, + { + "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": {}, + "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": [ + "mynet(torch.from_numpy(x).reshape(513*1000))" + ] + }, + { + "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": {}, + "outputs": [], + "source": [ + "mynet(torch.from_numpy(data).reshape(513000)).shape" + ] + }, + { + "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": 23, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "tensor(10.0828, grad_fn=<DivBackward0>)" + ] + }, + "execution_count": 23, + "metadata": {}, + "output_type": "execute_result" + } + ], + "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": [] + } + ], + "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 +}