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Dive-into-DL-PyTorch/code/chapter09_computer-vision/9.3_bounding-box.ipynb

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{
"cells": [
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# 9.3 目标检测和边界框"
]
},
{
"cell_type": "code",
"execution_count": 1,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"%matplotlib inline\n",
"from PIL import Image\n",
"\n",
"import sys\n",
"sys.path.append(\"..\") \n",
"import d2lzh_pytorch as d2l"
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {},
"outputs": [
{
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"source": [
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"img = Image.open('../../img/catdog.jpg')\n",
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},
{
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"metadata": {},
"source": [
"## 9.3.1 边界框"
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"# bbox是bounding box的缩写\n",
"dog_bbox, cat_bbox = [60, 45, 378, 516], [400, 112, 655, 493]"
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {
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},
"outputs": [],
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"def bbox_to_rect(bbox, color): # 本函数已保存在d2lzh_pytorch中方便以后使用\n",
" # 将边界框(左上x, 左上y, 右下x, 右下y)格式转换成matplotlib格式：\n",
" # ((左上x, 左上y), 宽, 高)\n",
" return d2l.plt.Rectangle(\n",
" xy=(bbox[0], bbox[1]), width=bbox[2]-bbox[0], height=bbox[3]-bbox[1],\n",
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]
},
{
"cell_type": "code",
"execution_count": 5,
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