一、一步一步教你用wechaty+百度云主机打造一个带你穿越星际的微信机器人
- wechaty呢，就是一个神奇得能够沟通各种聊天工具得中间件包括但不限于微信（这样严谨不？）
- 百度云呢是用得它得主机，速度很快
- 走你！
二、搞定服务器
1.活动地址
百度云地址cloud.baidu.com/campaign/bc…
找到新人免费上云活动，然后开始！！！
2.注册
到手！！！
3.修改管理密码
控制台修改密码就不说了，改完后ssh连接
三、wechaty配置
1.tocken申请
免费token申请地址: pad-local.com(温馨提示: 免费的token有效期为7天，如需使用有效期更长的token，请访问wechaty官网: wechaty.js.org/)
2.docker下载及配置
在终端里输入以下指令
apt update apt install docker.io docker pull wechaty/wechaty:latest export WECHATY_LOG="verbose" export WECHATY_PUPPET="wechaty-puppet-wechat" export WECHATY_PUPPET_SERVER_PORT="8080" export WECHATY_TOKEN="puppet_padlocal_xxxxxx" # 这里输入你自己的token docker run -ti --name wechaty_puppet_service_token_gateway --rm -e WECHATY_LOG -e WECHATY_PUPPET -e WECHATY_TOKEN -e WECHATY_PUPPET_SERVER_PORT -p "$WECHATY_PUPPET_SERVER_PORT:$WECHATY_PUPPET_SERVER_PORT" wechaty/wechaty:latest
3.启动docker以后输出如下
微信扫描二维码即可登录，登陆成功有提示
4.注意事项
获取docker镜像比较慢，有两种办法
- 1.切换国内docker mirror点
- 2.直接 docker pull wechaty/wechaty:latest& 后台下载，不用管它
四、本地配置
1.wechaty环境配置
!pip install wechaty==0.7dev17
2.demo示例
- 注意区分操作系统
- 注意token不用双引号（此坑踩了会）
3各平台配置
3.1 linux
export WECHATY_PUPPET=wechaty-puppet-service export WECHATY_PUPPET_SERVICE_TOKEN=puppet_padlocal_*************
3.2 win
set WECHATY_PUPPET=wechaty-puppet-service set WECHATY_PUPPET_SERVICE_TOKEN=puppet_padlocal_*************
import os import asyncio import paddlehub as hub import cv2 import time from wechaty import ( Contact, FileBox, Message, Wechaty, ScanStatus, ) model = hub.Module(name="humanseg_lite") def img_koutu(): img_path = r'dongman/dongman.jpg' # 图片转换后存放的路径 img_new_path = os.path.join('humanseg_output', 'dongman' + '.png') print(img_new_path) if os.path.exists('humanseg_output/dongman.png'): os.remove('humanseg_output/dongman.png') res = model.segment( paths=[os.path.join(img_path)], visualization=True, output_dir='humanseg_output') # 返回新图片的路径 while not os.path.exists(img_new_path): time.sleep(1) return img_new_path def merge (img_path): # import cv2 # cv2.namedWindow("person") # 定义一个窗口 back_img_path='background.jpg' new_img_path = r'merge/result.png' frame = cv2.imread(back_img_path, cv2.IMREAD_COLOR) # 捕获图像1 frame = cv2.resize(frame, (1000,600)) print('background shape: ',frame.shape) # IMREAD_UNCHANGED If set, return the loaded image as is (with alpha channel, otherwise it gets cropped). # 因此Png必须是4通道的IMREAD_UNCHANGED person = cv2.imread(img_path, cv2.IMREAD_UNCHANGED) # person=cv2.resize(person, (300, 600)) rows, cols, channels = person.shape print('person shape: ',rows, cols, channels ) dx, dy = 120, 150 roi = frame[dx:dx + rows, dy:dy + cols] print(roi.shape) for i in range(rows): for j in range(cols): if not (person[i, j][3] == 0): # 透明的意思 roi[i, j][0] = person[i, j][0] roi[i, j][1] = person[i, j][1] roi[i, j][2] = person[i, j][2] frame[dx:dx + rows, dy:dy + cols] = roi cv2.imwrite(new_img_path, frame) return new_img_path def dongman(img_path, img_name): # 图片转换后存放的路径 img_new_path = r'dongman/dongman.jpg' print(img_new_path) model = hub.Module(name='animegan_v2_shinkai_33') result = model.style_transfer(images=[cv2.imread(img_path)], visualization=True, output_dir='dongman') cv2.imwrite(img_new_path, result[0]) return img_new_path async def on_message(msg: Message): if msg.text() == 'ding': await msg.say('这是自动回复: dong dong dong') if msg.text() == 'hi' or msg.text() == '你好': await msg.say('这是自动回复: 机器人目前的功能是\n- 收到"ding", 自动回复"dong dong dong"\n- 收到"图片", 自动回复一张图片') if msg.text() == '图片': url = 'https://ai.bdstatic.com/file/403BC03612CC4AF1B05FB26A19D99BAF' # 构建一个FileBox file_box_1 = FileBox.from_file('xx.jpg', name='今天做作业了吗？') await msg.say(file_box_1) # 如果收到的message是一张图片 if msg.type() == Message.Type.MESSAGE_TYPE_IMAGE: # 将Message转换为FileBox file_box_2 = await msg.to_file_box() # 获取图片名 img_name = file_box_2.name # 图片保存的路径 img_path = './image/' + img_name # 将图片保存为本地文件 await file_box_2.to_file(file_path=img_path) # 调用图片风格转换的函数 img_new_path = dongman(img_path, img_name) print(img_new_path) img_new_path = img_koutu() print(img_new_path) img_new_path = merge(img_new_path) print(img_new_path) # 从新的路径获取图片 file_box_3 = FileBox.from_file(img_new_path) await msg.say(file_box_3) async def on_scan( qrcode: str, status: ScanStatus, _data, ): print('Status: ' + str(status)) print('View QR Code Online: https://wechaty.js.org/qrcode/' + qrcode) async def on_login(user: Contact): print(user) async def main(): # 确保我们在环境变量中设置了WECHATY_PUPPET_SERVICE_TOKEN if 'WECHATY_PUPPET_SERVICE_TOKEN' not in os.environ: print(''' Error: WECHATY_PUPPET_SERVICE_TOKEN is not found in the environment variables You need a TOKEN to run the Python Wechaty. Please goto our README for details https://github.com/wechaty/python-wechaty-getting-started/#wechaty_puppet_service_token ''') bot = Wechaty() bot.on('scan', on_scan) bot.on('login', on_login) bot.on('message', on_message) await bot.start() print('[Python Wechaty] Ding Dong Bot started.') asyncio.run(main())
4.本地开发运行
python main.py
五、星际穿越的流程
计划在本机上开发赋能，程序测试完成OK后，再上服务器，敬请期待2天
1.动漫画
2.抠图
3.科幻海报合成
3.1 背景
3.2结果
六、linux服务器部署
1.安装paddlepaddle
pip install paddlepaddle
2.安装paddlehub
pip install paddlehub
3.环境变量设置
export WECHATY_PUPPET=wechaty-puppet-service export WECHATY_PUPPET_SERVICE_TOKEN = "puppet_padlocal_换成你的key"
4.启动docker
docker run -ti --name wechaty_puppet_service_token_gateway --rm -e WECHATY_LOG -e WECHATY_PUPPET -e WECHATY_TOKEN -e WECHATY_PUPPET_SERVER_PORT -p "$WECHATY_PUPPET_SERVER_PORT:$WECHATY_PUPPET_SERVER_PORT" wechaty/wechaty:latest
5.后台运行程序
python main.py &
