Skip to content

Instantly share code, notes, and snippets.

@botcs

botcs/waveloss-unittest.ipynb

Last active March 17, 2019 23:19
Show Gist options

  • Select an option

    Learn more about clone URLs
  • Save botcs/89eeef0e688c3bcc1b79418cd1357581 to your computer and use it in GitHub Desktop.

Select an option

Learn more about clone URLs
Save botcs/89eeef0e688c3bcc1b79418cd1357581 to your computer and use it in GitHub Desktop.
Download ZIP
Display the source blob
Display the rendered blob
Raw
waveloss-unittest.ipynb
{
"cells": [
{
"cell_type": "code",
"execution_count": 79,
"metadata": {},
"outputs": [],
"source": [
"import torch\n",
"import numpy as np\n",
"\n",
"import matplotlib.pyplot as plt\n",
"plt.rcParams[\"figure.figsize\"] = 20, 10"
]
},
{
"cell_type": "code",
"execution_count": 80,
"metadata": {},
"outputs": [],
"source": [
"plt.rcParams[\"figure.figsize\"] = 20, 10"
]
},
{
"cell_type": "code",
"execution_count": 124,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"<matplotlib.image.AxesImage at 0x7f222664c358>"
]
},
"execution_count": 124,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": "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\n",
"text/plain": [
"<Figure size 1440x720 with 4 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"x1 = torch.zeros(1, 1, 100, 100) # [N C H W]\n",
"x2 = torch.zeros(1, 1, 100, 100)\n",
"\n",
"x1[0, 0, 10:60, 10:60] = 1\n",
"x2[0, 0, 30:80, 40:80] = 1\n",
"union = torch.clamp(x1 + x2, 0, 1)\n",
"currentWave = x1 * x2\n",
"waveLoss = 0\n",
"\n",
"plt.subplot(1, 4, 1)\n",
"plt.imshow(x1[0, 0])\n",
"plt.subplot(1, 4, 2)\n",
"plt.imshow(x2[0, 0])\n",
"plt.subplot(1, 4, 3)\n",
"plt.imshow(union[0, 0])\n",
"plt.subplot(1, 4, 4)\n",
"plt.imshow(currentWave[0, 0])\n"
]
},
{
"cell_type": "code",
"execution_count": 125,
"metadata": {},
"outputs": [],
"source": [
"valInc = 0.01\n",
"spaInc = 3\n",
"valW = [1] * int(1/valInc)\n",
"spaW = [1] * int(1/valInc)\n",
"\n",
"waveLoss = 0"
]
},
{
"cell_type": "code",
"execution_count": 126,
"metadata": {},
"outputs": [],
"source": [
"valChanges = []\n",
"spaChanges = []\n",
"newWaves = []\n",
"\n",
"for i in range(int(1/valInc)):\n",
" # Loss for intensity differences\n",
" newWave = currentWave + valInc # broadcast\n",
" newWave = torch.min(newWave, union) # elementwise min\n",
" valueChange = torch.sum(newWave - currentWave)\n",
" waveLoss += valW[i] * valueChange # weighting\n",
" valChanges.append(valueChange)\n",
" currentWave = newWave\n",
" \n",
" \n",
" # Loss for spatial differences\n",
" newWavePooled, poolingIndices = torch.nn.functional.max_pool2d(\n",
" input=currentWave, \n",
" kernel_size=[spaInc, spaInc], \n",
" stride=[1, 1],\n",
" padding=[spaInc // 2, spaInc // 2],\n",
" return_indices=True\n",
" )\n",
" \n",
" # Upsampling part is missing from paper\n",
" newWave = torch.nn.functional.interpolate(\n",
" input=newWavePooled,\n",
" size=currentWave.shape[-2:],\n",
" mode='nearest',\n",
" )\n",
" newWaves.append(newWave.clone())\n",
" newWave = torch.min(newWave, union)\n",
" spatialChange = torch.sum(newWave - currentWave)\n",
" waveLoss += spaW[i] * spatialChange\n",
" spaChanges.append(spatialChange)\n",
" currentWave = newWave\n",
" "
]
},
{
"cell_type": "code",
"execution_count": 127,
"metadata": {},
"outputs": [
{
"data": {
"image/png": "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\n",
"text/plain": [
"<Figure size 1440x720 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"image/png": "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\n",
"text/plain": [
"<Figure size 1440x720 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"image/png": "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\n",
"text/plain": [
"<Figure size 1440x720 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"image/png": "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\n",
"text/plain": [
"<Figure size 1440x720 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"image/png": "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\n",
"text/plain": [
"<Figure size 1440x720 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"image/png": "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\n",
"text/plain": [
"<Figure size 1440x720 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"image/png": "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\n",
"text/plain": [
"<Figure size 1440x720 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"image/png": "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\n",
"text/plain": [
"<Figure size 1440x720 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"image/png": "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\n",
"text/plain": [
"<Figure size 1440x720 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"image/png": "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\n",
"text/plain": [
"<Figure size 1440x720 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"for i in range(10):\n",
" plt.imshow(newWaves[i][0, 0])\n",
" plt.show()"
]
},
{
"cell_type": "code",
"execution_count": 128,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"[<matplotlib.lines.Line2D at 0x7f2226230cf8>]"
]
},
"execution_count": 128,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": "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\n",
"text/plain": [
"<Figure size 1440x720 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"plt.plot(spaChanges)"
]
},
{
"cell_type": "code",
"execution_count": 129,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"[<matplotlib.lines.Line2D at 0x7f2226205128>]"
]
},
"execution_count": 129,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": "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\n",
"text/plain": [
"<Figure size 1440x720 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"plt.plot(valChanges)"
]
},
{
"cell_type": "code",
"execution_count": 120,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"tensor(3300.)"
]
},
"execution_count": 120,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"waveLoss"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Spatial should be done first, since intensity increasing can influence the spatial loss."
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": []
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": []
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": []
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": []
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Unit test for pooling"
]
},
{
"cell_type": "code",
"execution_count": 106,
"metadata": {},
"outputs": [],
"source": [
"# Loss for spatial differences\n",
"newWavePooled, poolingIndices = torch.nn.functional.max_pool2d(\n",
" input=currentWave, \n",
" kernel_size=[spaInc, spaInc], \n",
" stride=[1, 1],\n",
" padding=[spaInc // 2, spaInc // 2],\n",
" return_indices=True\n",
")\n",
"\n",
"# Upsampling part is missing from paper\n",
"newWave = torch.nn.functional.interpolate(\n",
" input=newWavePooled,\n",
" size=currentWave.shape[-2:],\n",
" mode='nearest',\n",
")\n"
]
},
{
"cell_type": "code",
"execution_count": 107,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"<matplotlib.colorbar.Colorbar at 0x7f2226d6ac88>"
]
},
"execution_count": 107,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": "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\n",
"text/plain": [
"<Figure size 1440x720 with 4 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"plt.subplot(1, 3, 1)\n",
"plt.imshow(newWave[0, 0])\n",
"plt.subplot(1, 3, 2)\n",
"plt.imshow(currentWave[0, 0])\n",
"plt.subplot(1, 3, 3)\n",
"plt.imshow(newWave[0, 0] - currentWave[0, 0])\n",
"plt.colorbar()"
]
}
],
"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": "3.6.5"
}
},
"nbformat": 4,
"nbformat_minor": 2
}
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment