301 lines
118 KiB (Stored with Git LFS)
Plaintext
301 lines
118 KiB (Stored with Git LFS)
Plaintext
{
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"cells": [
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{
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"cell_type": "code",
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"execution_count": 76,
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"True"
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]
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},
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"execution_count": 76,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"import os\n",
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"import glob\n",
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"import numpy as np\n",
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"\n",
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"import torchvision\n",
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"from torchvision.io import read_image\n",
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"import torchvision.transforms\n",
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"from torch.utils.data import Dataset, DataLoader, random_split\n",
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"import torch.nn.functional as F\n",
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"import torch.optim as optim\n",
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"import torch.nn as nn\n",
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"\n",
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"import torch\n",
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"import matplotlib.pyplot as plt\n",
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"\n",
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"torch.cuda.is_available()"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 77,
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"metadata": {},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"/home/alexander/Project/gobot/board-vision/src\n",
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"Raw Samples: 1083 971\n",
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"Samples: 194200\n"
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]
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},
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{
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"data": {
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"text/plain": [
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"<matplotlib.image.AxesImage at 0x71ab3ad4b800>"
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]
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},
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"execution_count": 77,
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"metadata": {},
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"output_type": "execute_result"
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},
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{
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"data": {
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"image/png": 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",
|
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"text/plain": [
|
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"<Figure size 640x480 with 1 Axes>"
|
|
]
|
|
},
|
|
"metadata": {},
|
|
"output_type": "display_data"
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|
}
|
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],
|
|
"source": [
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|
"\n",
|
|
"class CrossImageDataset():\n",
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" def __init__(self, folder: str, repeat: int = 1):\n",
|
|
" self.image_empty = glob.glob(f'../{folder}/empty/**/raw*.png', recursive=True)\n",
|
|
" self.full_empty = glob.glob(f'../{folder}/full/**/raw*.png', recursive=True)\n",
|
|
" self.repeat = repeat\n",
|
|
" self.num_samples = min(len(self.image_empty), len(self.full_empty))\n",
|
|
" print(\"Raw Samples:\", len(self.image_empty), len(self.full_empty))\n",
|
|
" print(\"Samples: \", self.num_samples * 2 * self.repeat)\n",
|
|
" \n",
|
|
" self.cache = {}\n",
|
|
" \n",
|
|
" self.tranform_list = [ \n",
|
|
" torchvision.transforms.RandomRotation(degrees=(0,180), expand=True),\n",
|
|
" torchvision.transforms.CenterCrop(size=ACTUAL_SIZE),\n",
|
|
" torchvision.transforms.CenterCrop(size=TARGET_SIZE),\n",
|
|
" torchvision.transforms.RandomHorizontalFlip(),\n",
|
|
" torchvision.transforms.RandomVerticalFlip()\n",
|
|
" ]\n",
|
|
" self.image_transform = torchvision.transforms.Compose(self.tranform_list)\n",
|
|
" \n",
|
|
" def __len__(self):\n",
|
|
" return self.num_samples * 2 * self.repeat\n",
|
|
" \n",
|
|
" def __getitem__(self, idx):\n",
|
|
" real_idx = idx % self.num_samples\n",
|
|
" \n",
|
|
" if self.cache.get(real_idx) is None:\n",
|
|
" \n",
|
|
" if idx % 2 == 0:\n",
|
|
" image = read_image(self.image_empty[real_idx//2])\n",
|
|
" label = torch.tensor([0, 1], dtype=torch.float32)\n",
|
|
" else:\n",
|
|
" image = read_image(self.full_empty[real_idx//2])\n",
|
|
" label = torch.tensor([1, 0], dtype=torch.float32)\n",
|
|
" \n",
|
|
" self.cache[real_idx] = (image, label)\n",
|
|
" \n",
|
|
" if len(self.cache) > 10000:\n",
|
|
" self.cache.pop(list(self.cache.keys())[0])\n",
|
|
" \n",
|
|
" else:\n",
|
|
" image, label = self.cache[real_idx]\n",
|
|
" \n",
|
|
" image = image.float()/255.0\n",
|
|
" \n",
|
|
" #return torch.tensor(np.random.random(size=(3, 25, 25))).float(), label\n",
|
|
" return image[0:1,:,:], label\n",
|
|
"\n",
|
|
" \n",
|
|
"ACTUAL_SIZE = (30, 30)\n",
|
|
"TARGET_SIZE = (25, 25)\n",
|
|
" \n",
|
|
"print(os.getcwd())\n",
|
|
"dataset = CrossImageDataset('out', repeat=100)\n",
|
|
"\n",
|
|
"train_dataset, test_dataset = random_split(dataset, [0.8, 0.2])\n",
|
|
"trainloader = torch.utils.data.DataLoader(train_dataset, batch_size=32, shuffle=True, num_workers=2)\n",
|
|
"testloader = torch.utils.data.DataLoader(test_dataset, batch_size=32, shuffle=False, num_workers=2)\n",
|
|
"\n",
|
|
"torch.manual_seed(0)\n",
|
|
"\n",
|
|
"dataiter = iter(trainloader)\n",
|
|
"images, labels = next(dataiter)\n",
|
|
"plt.imshow(torchvision.utils.make_grid(images)[0,:,:])\n",
|
|
"\n"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 78,
|
|
"metadata": {},
|
|
"outputs": [],
|
|
"source": [
|
|
"def eval_model(m: nn.Module, dataloder: torch.utils.data.DataLoader, dataset: CrossImageDataset, GPU=0):\n",
|
|
" correct = 0\n",
|
|
" total = 0\n",
|
|
"\n",
|
|
" # again no gradients needed\n",
|
|
" with torch.no_grad():\n",
|
|
" for data in dataloder:\n",
|
|
" inputs, labels = data\n",
|
|
" inputs, labels = inputs.to(GPU), labels.to(GPU)\n",
|
|
" inputs = dataset.image_transform(inputs)\n",
|
|
" outputs = m(inputs)\n",
|
|
" # collect the correct predictions for each class\n",
|
|
" for label, prediction in zip(labels, outputs):\n",
|
|
" total += 1\n",
|
|
" if torch.argmax(prediction) == torch.argmax(label):\n",
|
|
" correct += 1 \n",
|
|
"\n",
|
|
" # print accuracy for each class\n",
|
|
" return 100 * float(correct) / total\n"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 93,
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"name": "stdout",
|
|
"output_type": "stream",
|
|
"text": [
|
|
"[1, 4000] loss: 0.389344\n",
|
|
"[2, 4000] loss: 0.321588\n",
|
|
"[3, 4000] loss: 0.317410\n",
|
|
"[4, 4000] loss: 0.317802\n",
|
|
"[5, 4000] loss: 0.321051\n",
|
|
"Accuracy: 99.34088568486096\n",
|
|
"Finished Training\n"
|
|
]
|
|
},
|
|
{
|
|
"name": "stderr",
|
|
"output_type": "stream",
|
|
"text": [
|
|
"/tmp/ipykernel_69774/2984935090.py:51: UserWarning: No artists with labels found to put in legend. Note that artists whose label start with an underscore are ignored when legend() is called with no argument.\n",
|
|
" plt.legend(loc=\"upper left\")\n"
|
|
]
|
|
},
|
|
{
|
|
"data": {
|
|
"image/png": 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",
|
|
"text/plain": [
|
|
"<Figure size 640x480 with 1 Axes>"
|
|
]
|
|
},
|
|
"metadata": {},
|
|
"output_type": "display_data"
|
|
}
|
|
],
|
|
"source": [
|
|
"import importlib\n",
|
|
"import model\n",
|
|
"importlib.reload(model)\n",
|
|
"\n",
|
|
"GPU = 0\n",
|
|
"net = model.Net()\n",
|
|
"net.to(GPU)\n",
|
|
"\n",
|
|
"criterion = nn.CrossEntropyLoss()\n",
|
|
"optimizer = optim.SGD(net.parameters(), lr=0.001, momentum=0.9)\n",
|
|
"\n",
|
|
"acc_history = []\n",
|
|
"loss_history = []\n",
|
|
"\n",
|
|
"for epoch in range(5): # loop over the dataset multiple times\n",
|
|
"\n",
|
|
" running_loss = 0.0\n",
|
|
" for i, data in enumerate(trainloader, 0):\n",
|
|
" # get the inputs; data is a list of [inputs, labels]\n",
|
|
" inputs, labels = data\n",
|
|
" inputs, labels = inputs.to(GPU), labels.to(GPU) \n",
|
|
" inputs = dataset.image_transform(inputs)\n",
|
|
" \n",
|
|
" # zero the parameter gradients\n",
|
|
" optimizer.zero_grad()\n",
|
|
"\n",
|
|
" # forward + backward + optimize\n",
|
|
" outputs = net(inputs)\n",
|
|
" loss = criterion(outputs, labels)\n",
|
|
" loss.backward()\n",
|
|
" optimizer.step()\n",
|
|
"\n",
|
|
" # print statistics\n",
|
|
" running_loss += loss.item()\n",
|
|
" \n",
|
|
" if i % 2000 == 1999: # print every 2000 mini-batches\n",
|
|
" #acc = eval_model(net, testloader, dataset)\n",
|
|
" loss_history.append(running_loss / 2000)\n",
|
|
" #acc_history.append(acc)\n",
|
|
" print(f'[{epoch + 1}, {i + 1:5d}] loss: {running_loss / 2000:.6f}', end='\\r')\n",
|
|
" running_loss = 0.0\n",
|
|
" \n",
|
|
" print()\n",
|
|
"\n",
|
|
"loss_history = np.array(loss_history)\n",
|
|
"\n",
|
|
"print(\"Accuracy:\", eval_model(net, testloader, dataset))\n",
|
|
"print('Finished Training')\n",
|
|
"\n",
|
|
"plt.plot(loss_history)\n",
|
|
"plt.legend(loc=\"upper left\")\n",
|
|
"plt.show()\n"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 94,
|
|
"metadata": {},
|
|
"outputs": [],
|
|
"source": [
|
|
"# save the model\n",
|
|
"torch.save(net.state_dict(), '../models/model1.pth')"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": null,
|
|
"metadata": {},
|
|
"outputs": [],
|
|
"source": []
|
|
}
|
|
],
|
|
"metadata": {
|
|
"kernelspec": {
|
|
"display_name": "gobot-board-vision",
|
|
"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": "3.12.5"
|
|
}
|
|
},
|
|
"nbformat": 4,
|
|
"nbformat_minor": 2
|
|
}
|