129 lines
2.3 KiB
Plaintext
129 lines
2.3 KiB
Plaintext
{
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"cells": [
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"# 9.8 区域卷积神经网络(R-CNN)系列"
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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": 1,
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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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"0.4.0a0+6b959ee\n"
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]
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}
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],
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"source": [
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"import torch\n",
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"import torchvision\n",
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"\n",
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"print(torchvision.__version__)"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"## 9.8.2 Fast R-CNN"
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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": 2,
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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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"tensor([[[[ 0., 1., 2., 3.],\n",
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" [ 4., 5., 6., 7.],\n",
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" [ 8., 9., 10., 11.],\n",
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" [12., 13., 14., 15.]]]])"
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]
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},
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"execution_count": 2,
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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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"X = torch.arange(16, dtype=torch.float).view(1, 1, 4, 4)\n",
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"X"
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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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"collapsed": true
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},
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"outputs": [],
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"source": [
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"rois = torch.tensor([[0, 0, 0, 20, 20], [0, 0, 10, 30, 30]], dtype=torch.float)"
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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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"data": {
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"text/plain": [
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"tensor([[[[ 5., 6.],\n",
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" [ 9., 10.]]],\n",
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"\n",
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"\n",
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" [[[ 9., 11.],\n",
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" [13., 15.]]]])"
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]
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},
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"execution_count": 4,
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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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"torchvision.ops.roi_pool(X, rois, output_size=(2, 2), spatial_scale=0.1)"
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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": null,
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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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}
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],
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"metadata": {
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"kernelspec": {
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"display_name": "Python 3",
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"language": "python",
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"name": "python3"
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},
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"language_info": {
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"codemirror_mode": {
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"name": "ipython",
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"version": 3
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},
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"file_extension": ".py",
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"mimetype": "text/x-python",
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.6.2"
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}
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},
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"nbformat": 4,
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"nbformat_minor": 2
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}
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