270 lines
6.8 KiB
Plaintext
270 lines
6.8 KiB
Plaintext
{
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"cells": [
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{
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"cell_type": "code",
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"execution_count": 13,
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"metadata": {},
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"outputs": [],
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"source": [
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"import pymysql\n",
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"import snowflake\n",
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"from faker import Faker\n",
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"fake = Faker('zh_CN')\n",
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"import random\n",
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"# 创建数据库连接\n",
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"connection = pymysql.connect(\n",
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"host='192.168.0.244',\n",
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"user='root',\n",
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"password='Abcd@123456',\n",
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"database='qy_school',\n",
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"charset='utf8'\n",
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")\n",
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"# 创建游标对象\n",
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"cursor = connection.cursor()\n",
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"sql=\"select * from student\"\n",
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"cursor.execute(sql)\n",
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"result=cursor.fetchall()"
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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": 14,
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"metadata": {},
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"outputs": [],
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"source": [
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"sql=\"select * from student\"\n",
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"cursor.execute(sql)\n",
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"result=cursor.fetchall()"
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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": 17,
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"metadata": {},
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"outputs": [],
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"source": [
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"# ids = []\n",
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"# for item in result:\n",
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"# id = item[0]\n",
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"# ids.append(id)\n",
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"ids = [9131, 9135, 9139, 9140, 9141, 9142, 9151]"
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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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"source": [
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"sql = \"select * from t_camera\"\n",
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"cursor.execute(sql)\n",
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"camera=cursor.fetchall()\n",
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"channels = []"
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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": 5,
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"metadata": {},
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"outputs": [],
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"source": [
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"for item in camera:\n",
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" channels.append(item[17])"
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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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"outputs": [
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{
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"data": {
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"text/plain": [
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"'dffa5eac-49aa-48d2-a6c1-deedbff0b46a'"
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]
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},
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"execution_count": 9,
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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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"import uuid\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": 18,
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"metadata": {},
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"outputs": [],
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"source": [
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"from requests import get,post\n",
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"import time\n",
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"from datetime import datetime\n",
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"\n",
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"ip = \"http://192.168.0.209:8101\"\n",
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"param = {\n",
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" \"username\": \"tangchao\",\n",
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" \"password\": \"123456a\",\n",
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" \"client_id\": \"client\",\n",
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" \"grant_type\": \"password\",\n",
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" \"client_secret\": \"123456\",\n",
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"}\n",
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"data = get(url=f\"{ip}/oauth/token\",params=param).json()\n",
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"token = data[\"access_token\"]\n",
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"header = {\n",
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" \"content-type\": \"application/json\",\n",
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" \"authorization\": f\"Bearer {token}\",\n",
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"}\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": null,
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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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"'{\"success\":true,\"msg\":\"操作成功\",\"code\":0,\"data\":null}'"
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]
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},
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"execution_count": 21,
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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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"ename": "",
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"evalue": "",
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"output_type": "error",
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"traceback": [
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"\u001b[1;31m在当前单元格或上一个单元格中执行代码时 Kernel 崩溃。\n",
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"\u001b[1;31m请查看单元格中的代码，以确定故障的可能原因。\n",
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"\u001b[1;31m单击<a href='https://aka.ms/vscodeJupyterKernelCrash'>此处</a>了解详细信息。\n",
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"\u001b[1;31m有关更多详细信息，请查看 Jupyter <a href='command:jupyter.viewOutput'>log</a>。"
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]
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}
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],
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"source": [
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"times = datetime.now().strftime('%Y-%m-%d %H:%M:%S')\n",
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"count = random.randint(1, 4)\n",
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"channel = random.choice(channels)\n",
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"data = {\n",
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" \"batch_info\": {\n",
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" \"batch_id\": str(uuid.uuid4()),\n",
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" \"detected_image_path\":\"\",\n",
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" \"total_faces\": count,\n",
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" \"cameraid\": \"camera_001\",\n",
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" \"cameracode\": \"CAM001\"\n",
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" },\n",
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" \"results\":None\n",
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" }\n",
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"child = []\n",
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"for item in random.choices(ids, k=count):\n",
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" tem = {\n",
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" \"sim\": \"0.876\",\n",
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" \"simFaceurl\": \"\",\n",
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" \"baseFacesurl\": \"\",\n",
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" \"faceBaseid\": \"\",\n",
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" \"name\": \"\",\n",
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" \"sex\": \"\",\n",
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" \"empid\": f\"{item}\",\n",
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" \"telephone\": \"\",\n",
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" \"remark\": \"\",\n",
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" \"channel\": f\"{channel}\",\n",
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" \"ename\": \"Face\",\n",
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" \"cname\": \"人脸比对\",\n",
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" \"createtime\": times\n",
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" }\n",
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" child.append(tem)\n",
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"data[\"results\"] = child\n",
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"post(f\"{ip}/ai/stuface/receive\",json=data,headers=header).text"
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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": 68,
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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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"{'batch_info': {'batch_id': '6a6e425b-e3b5-46d8-8b53-4aa9f2f75fac',\n",
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" 'detected_image_path': 'https://cdn2.thedogapi.com/images/lQH1NRsGE.jpg',\n",
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" 'total_faces': 3,\n",
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" 'cameraid': 'camera_001',\n",
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" 'cameracode': 'CAM001'},\n",
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" 'results': [{'sim': '0.876',\n",
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" 'simFaceurl': '',\n",
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" 'baseFacesurl': '',\n",
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" 'faceBaseid': '',\n",
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" 'name': '',\n",
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" 'sex': '',\n",
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" 'empid': '9146',\n",
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" 'telephone': '',\n",
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" 'remark': '',\n",
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" 'channel': '12',\n",
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" 'ename': 'Face',\n",
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" 'cname': '人脸比对',\n",
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" 'createtime': '2025-10-14 19:05:30'},\n",
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" {'sim': '0.876',\n",
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" 'simFaceurl': '',\n",
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" 'baseFacesurl': '',\n",
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" 'faceBaseid': '',\n",
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" 'name': '',\n",
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" 'sex': '',\n",
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" 'empid': '9121',\n",
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" 'telephone': '',\n",
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" 'remark': '',\n",
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" 'channel': '12',\n",
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" 'ename': 'Face',\n",
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" 'cname': '人脸比对',\n",
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" 'createtime': '2025-10-14 19:05:30'},\n",
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" {'sim': '0.876',\n",
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" 'simFaceurl': '',\n",
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" 'baseFacesurl': '',\n",
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" 'faceBaseid': '',\n",
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" 'name': '',\n",
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" 'sex': '',\n",
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" 'empid': '9132',\n",
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" 'telephone': '',\n",
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" 'remark': '',\n",
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" 'channel': '12',\n",
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" 'ename': 'Face',\n",
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" 'cname': '人脸比对',\n",
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" 'createtime': '2025-10-14 19:05:30'}]}"
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]
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},
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"execution_count": 68,
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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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"data"
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]
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}
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],
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"metadata": {
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"kernelspec": {
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"display_name": "base",
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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": "3.12.4"
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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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