wash_data.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "所有图片的数量： 4516\n",
      "所有标注的数量： 6945\n"
     ]
    }
   ],
   "source": [
    "# 读入数据\n",
    "import os\n",
    "\n",
    "import json\n",
    "\n",
    "DATASET_PATH =  '/home/stirm/.tianchi/chongqing/chongqing1_round1_train1_20191223'\n",
    "\n",
    "with open(os.path.join(DATASET_PATH,  'annotations.json'))  as f:\n",
    "\n",
    "    json_file = json.load(f)\n",
    "\n",
    "print('所有图片的数量：',  len(json_file['images']))\n",
    "\n",
    "print('所有标注的数量：',  len(json_file['annotations']))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "所有标注中包含背景的图片数量： 1168\n",
      "只包含背景的图片数量： 1145\n"
     ]
    }
   ],
   "source": [
    "# 找到和背景有关的图片\n",
    "bg_imgs =  set()  # 所有标注中包含背景的图片 id\n",
    "\n",
    "for c in json_file['annotations']:\n",
    "\n",
    "    if c['category_id']  ==  0:\n",
    "\n",
    "        bg_imgs.add(c['image_id'])\n",
    "\n",
    "print('所有标注中包含背景的图片数量：',  len(bg_imgs))\n",
    "\n",
    "bg_only_imgs =  set()  # 只有背景的图片的 id\n",
    "for img_id in bg_imgs:\n",
    "    co =  0\n",
    "    for c in json_file['annotations']:\n",
    "        if c['image_id']  == img_id:\n",
    "            co +=  1\n",
    "    if co ==  1:\n",
    "        bg_only_imgs.add(img_id)\n",
    "\n",
    "print('只包含背景的图片数量：',  len(bg_only_imgs))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "待删除图片的数量： 1145\n",
      "处理之后图片的数量： 3371\n"
     ]
    }
   ],
   "source": [
    "#  删除只有背景标注的图片\n",
    "images_to_be_deleted =  []\n",
    "\n",
    "for img in json_file['images']:\n",
    "\n",
    "    if img['id']  in bg_only_imgs:\n",
    "\n",
    "        images_to_be_deleted.append(img)\n",
    "\n",
    "# 删除的是只有一个标注，且为 background 的的图片\n",
    "\n",
    "print('待删除图片的数量：',  len(images_to_be_deleted))\n",
    "\n",
    "for img in images_to_be_deleted:\n",
    "\n",
    "    json_file['images'].remove(img)\n",
    "\n",
    "  \n",
    "  \n",
    "\n",
    "print('处理之后图片的数量：',  len(json_file['images']))\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "待删除标注的数量： 1170\n",
      "处理之后标注的数量： 5775\n"
     ]
    }
   ],
   "source": [
    "# 删除有关背景的标注\n",
    "ann_to_be_deleted =  []\n",
    "\n",
    "for c in json_file['annotations']:\n",
    "\n",
    "    if c['category_id']  ==  0:\n",
    "\n",
    "        ann_to_be_deleted.append(c)\n",
    "\n",
    "print('待删除标注的数量：',  len(ann_to_be_deleted))\n",
    "\n",
    "for img in ann_to_be_deleted:\n",
    "\n",
    "    json_file['annotations'].remove(img)\n",
    "\n",
    "print('处理之后标注的数量：',  len(json_file['annotations']))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[{'supercategory': '瓶盖破损', 'id': 1, 'name': '瓶盖破损'},\n",
       " {'supercategory': '喷码正常', 'id': 9, 'name': '喷码正常'},\n",
       " {'supercategory': '瓶盖断点', 'id': 5, 'name': '瓶盖断点'},\n",
       " {'supercategory': '瓶盖坏边', 'id': 3, 'name': '瓶盖坏边'},\n",
       " {'supercategory': '瓶盖打旋', 'id': 4, 'name': '瓶盖打旋'},\n",
       " {'supercategory': '瓶盖变形', 'id': 2, 'name': '瓶盖变形'},\n",
       " {'supercategory': '标贴气泡', 'id': 8, 'name': '标贴气泡'},\n",
       " {'supercategory': '标贴歪斜', 'id': 6, 'name': '标贴歪斜'},\n",
       " {'supercategory': '喷码异常', 'id': 10, 'name': '喷码异常'},\n",
       " {'supercategory': '标贴起皱', 'id': 7, 'name': '标贴起皱'}]"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 删除类别\n",
    "\n",
    "bg_cate =  {'supercategory':  '背景',  'id':  0,  'name':  '背景'}\n",
    "\n",
    "json_file['categories'].remove(bg_cate)\n",
    "\n",
    "json_file['categories']\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [],
   "source": [
    "# 标注id有重复的这里重新标号\n",
    "for idx in  range(len(json_file['annotations'])):\n",
    "\n",
    "    json_file['annotations'][idx]['id']  = idx"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [],
   "source": [
    "# 生成新文件\n",
    "with  open(os.path.join(DATASET_PATH,  'annotations_washed.json'),  'w')  as f:\n",
    "\n",
    "    json.dump(json_file, f)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "所有图片的数量： 3371\n",
      "所有标注的数量： 5775\n"
     ]
    }
   ],
   "source": [
    "#  读取清洗后的数据\n",
    "import os\n",
    "\n",
    "import json\n",
    "\n",
    "DATASET_PATH =  '/home/stirm/.tianchi/chongqing/chongqing1_round1_train1_20191223'\n",
    "\n",
    "with open(os.path.join(DATASET_PATH,  'annotations_washed.json'))  as f:\n",
    "\n",
    "    json_file = json.load(f)\n",
    "\n",
    "print('所有图片的数量：',  len(json_file['images']))\n",
    "\n",
    "print('所有标注的数量：',  len(json_file['annotations']))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "   'id': 982},\n",
       "  {'area': 41891.500199999995,\n",
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       "   'image_id': 820,\n",
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       "   'category_id': 4,\n",
       "   'id': 997},\n",
       "  {'area': 39166.66040000001,\n",
       "   'iscrowd': 0,\n",
       "   'image_id': 829,\n",
       "   'bbox': [192.57, 104.0, 350.14000000000004, 111.86000000000001],\n",
       "   'category_id': 4,\n",
       "   'id': 998},\n",
       "  {'area': 43319.9994,\n",
       "   'iscrowd': 0,\n",
       "   'image_id': 830,\n",
       "   'bbox': [123.43, 85.71, 368.43, 117.58],\n",
       "   'category_id': 4,\n",
       "   'id': 999},\n",
       "  ...]}"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "json_file"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# 生成测试集和验证集\n",
    "images_to_val =  []\n",
    "\n",
    "for c in json_file['annotations']:\n",
    "    for i in range(1, 11)\n",
    "        if c['category_id']  ==  i:\n",
    "            bg_imgs.add(c['image_id'])\n",
    "\n",
    "print('处理之后图片的数量：',  len(json_file['images']))\n"
   ]
  }
 ],
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