25665 lines
495 KiB
Plaintext
25665 lines
495 KiB
Plaintext
{
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"cells": [
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{
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"cell_type": "code",
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"execution_count": 2,
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"metadata": {
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"collapsed": true
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},
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"outputs": [],
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"source": [
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"from __future__ import print_function\n",
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"import torch.utils.data as data\n",
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"from PIL import Image\n",
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"import os\n",
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"import os.path\n",
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"import errno\n",
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"import torch\n",
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"import json\n",
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"import codecs\n",
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"import numpy as np\n",
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"import progressbar\n",
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"import sys\n",
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"import torchvision.transforms as transforms\n",
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"import utils\n",
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"import argparse\n",
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"import json\n",
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"from numpy.linalg import inv\n",
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"import pickle\n",
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"from datasets import Places365Dataset, ViewDataSet3D\n",
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"\n",
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"import matplotlib.pyplot as plt\n",
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"%matplotlib inline"
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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": 3,
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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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"test\n",
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"Processing the data:\n",
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"view_highres_fofn1.pkl\n",
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"Total 19142 scenes 17227 train 1915 test\n",
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"1095171\n"
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]
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}
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],
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"source": [
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"\n",
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" \n",
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"print('test')\n",
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"parser = argparse.ArgumentParser()\n",
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"parser.add_argument('--debug' , action='store_true', help='debug mode')\n",
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"parser.add_argument('--dataroot', required=True, help='path to dataset')\n",
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"opt = parser.parse_args(['--dataroot', '/cvgl2/u/feixia/view_highres'])\n",
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"\n",
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"d = ViewDataSet3D(root=opt.dataroot, debug=opt.debug, transform=np.array, seqlen = 2)\n",
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"print(len(d))\n",
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"means = []\n"
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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": 4,
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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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"1095171\n"
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]
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}
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],
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"source": [
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"print(len(d))"
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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": 66,
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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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},
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{
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"ename": "KeyboardInterrupt",
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"evalue": "",
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"output_type": "error",
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"traceback": [
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"\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
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"\u001b[0;31mKeyboardInterrupt\u001b[0m Traceback (most recent call last)",
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"\u001b[0;32m<ipython-input-66-da889c602aa3>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m()\u001b[0m\n\u001b[1;32m 6\u001b[0m \u001b[0;32mfor\u001b[0m \u001b[0mj\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mrange\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mseqlen\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 7\u001b[0m \u001b[0midx\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mi\u001b[0m \u001b[0;34m*\u001b[0m \u001b[0mseqlen\u001b[0m \u001b[0;34m+\u001b[0m \u001b[0mj\u001b[0m \u001b[0;34m+\u001b[0m \u001b[0;36m1\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 8\u001b[0;31m \u001b[0mmean\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mmean\u001b[0m \u001b[0;34m*\u001b[0m \u001b[0;34m(\u001b[0m\u001b[0midx\u001b[0m \u001b[0;34m-\u001b[0m \u001b[0;36m1\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m/\u001b[0m\u001b[0midx\u001b[0m \u001b[0;34m+\u001b[0m \u001b[0;34m(\u001b[0m\u001b[0mdata\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mj\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mastype\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mnp\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mfloat32\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;34m*\u001b[0m \u001b[0;36m1\u001b[0m\u001b[0;34m/\u001b[0m\u001b[0midx\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
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"\u001b[0;31mKeyboardInterrupt\u001b[0m: "
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]
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|
}
|
|
],
|
|
"source": [
|
|
"mean = np.zeros(d[0][0][0].shape).astype(np.float32)\n",
|
|
"seqlen = len(d[0][0])\n",
|
|
"for i in range(50000):\n",
|
|
" print(i)\n",
|
|
" data = d[i][0]\n",
|
|
" for j in range(seqlen):\n",
|
|
" idx = i * seqlen + j + 1\n",
|
|
" mean = mean * (idx - 1)/idx + (data[j]).astype(np.float32) * 1/idx"
|
|
]
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|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 59,
|
|
"metadata": {},
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|
"outputs": [
|
|
{
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|
"data": {
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|
"text/plain": [
|
|
"<matplotlib.image.AxesImage at 0x7fb9f8a4f490>"
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]
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},
|
|
"execution_count": 59,
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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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HuZlV/JP/t/25tJPNcMr8uRTQViD0EIGFfbMn9JtDWybUr82MhsF+jitcCn87oa3BlLti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\n",
|
|
"text/plain": [
|
|
"<matplotlib.figure.Figure at 0x7fb9d71bea10>"
|
|
]
|
|
},
|
|
"metadata": {},
|
|
"output_type": "display_data"
|
|
}
|
|
],
|
|
"source": [
|
|
"plt.imshow(mean.astype(np.uint8))"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 60,
|
|
"metadata": {
|
|
"collapsed": true
|
|
},
|
|
"outputs": [],
|
|
"source": [
|
|
"mean_img = Image.fromarray(mean.astype(np.uint8))"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 61,
|
|
"metadata": {
|
|
"collapsed": true
|
|
},
|
|
"outputs": [],
|
|
"source": [
|
|
"mean_img.save('mean.png')"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 62,
|
|
"metadata": {
|
|
"collapsed": true
|
|
},
|
|
"outputs": [],
|
|
"source": [
|
|
"Image.fromarray(d[0][0][0]).save('before.png')"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 63,
|
|
"metadata": {
|
|
"collapsed": true
|
|
},
|
|
"outputs": [],
|
|
"source": [
|
|
"Image.fromarray((d[0][0][0] - mean + np.mean(np.mean(mean,axis=1),axis = 0)).clip(0,255).astype(np.uint8)).save('after.png')"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": null,
|
|
"metadata": {
|
|
"collapsed": true
|
|
},
|
|
"outputs": [],
|
|
"source": []
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 64,
|
|
"metadata": {
|
|
"collapsed": true
|
|
},
|
|
"outputs": [],
|
|
"source": [
|
|
"band = np.mean(mean, axis = 0)"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 65,
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"data": {
|
|
"text/plain": [
|
|
"[<matplotlib.lines.Line2D at 0x7fb9f0bce1d0>]"
|
|
]
|
|
},
|
|
"execution_count": 65,
|
|
"metadata": {},
|
|
"output_type": "execute_result"
|
|
},
|
|
{
|
|
"data": {
|
|
"image/png": 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/d8bqM6sBeLZDPF0q+nhTPJYcX4KGpRpCSok2S9vgysMrAMgl7bUVr+HzFp+j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\nwRYAAAAASUVORK5CYII=\n",
|
|
"text/plain": [
|
|
"<matplotlib.figure.Figure at 0x7fb9e82d5450>"
|
|
]
|
|
},
|
|
"metadata": {},
|
|
"output_type": "display_data"
|
|
}
|
|
],
|
|
"source": [
|
|
"plt.plot(band[:,0], color = 'r')\n",
|
|
"plt.plot(band[:,1], color = 'g')\n",
|
|
"plt.plot(band[:,2], color = 'b')"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 5,
|
|
"metadata": {},
|
|
"outputs": [],
|
|
"source": [
|
|
"mean_img = Image.open('mean.png')"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 11,
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"data": {
|
|
"text/plain": [
|
|
"array([ 0.57441127, 0.54226291, 0.50356019])"
|
|
]
|
|
},
|
|
"execution_count": 11,
|
|
"metadata": {},
|
|
"output_type": "execute_result"
|
|
}
|
|
],
|
|
"source": [
|
|
"np.array(mean_img).mean(axis=0).mean(axis=0)/255"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": null,
|
|
"metadata": {
|
|
"collapsed": true
|
|
},
|
|
"outputs": [],
|
|
"source": []
|
|
}
|
|
],
|
|
"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": "2.7.6"
|
|
}
|
|
},
|
|
"nbformat": 4,
|
|
"nbformat_minor": 2
|
|
}
|