帮我写一个大疆机甲运用百度ai人脸识别的python的源码
时间: 2023-06-09 13:04:18 浏览: 213
基于python的人脸识别源代码
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好的,以下是使用大疆机甲运用百度AI人脸识别的Python源码:
```python
# 导入需要的库
from djitellopy import Tello
import cv2
from cv2 import rectangle
import numpy as np
import time
from time import sleep
from urllib.request import urlopen
from io import BytesIO
from PIL import Image
from aip import AipFace
# 设置百度AI人脸识别的参数
APP_ID = 'your_app_id'
API_KEY = 'your_api_key'
SECRET_KEY = 'your_secret_key'
client = AipFace(APP_ID, API_KEY, SECRET_KEY)
# 设置Tello无人机并连接
tello = Tello()
tello.connect()
tello.streamoff()
tello.streamon()
# 设置图像大小和帧率
tello.set_video_resolution('720p')
tello.set_video_fps(30)
# 定义函数检测人脸并画框
def detect_face(frame, faces, color):
for face in faces:
x, y, w, h = face['location']['left'], face['location']['top'], face['location']['width'], face['location']['height']
rectangle(frame, (x, y), (x + w, y + h), color, 2)
# 获取图像并进行人脸识别
while True:
frame_read = tello.get_frame_read()
frame = frame_read.frame
img = cv2.cvtColor(frame, cv2.COLOR_BGR2RGB)
# 将图像转为字节流
img_buffer = BytesIO()
Image.fromarray(img).save(img_buffer, format='JPEG')
image_data = img_buffer.getvalue()
# 进行人脸检测
face_check_result = client.detect(image_data, image_type=AipFace.IMAGE_TYPE_JPEG, face_field='age,gender,beauty')
if 'result' in face_check_result:
faces = face_check_result['result']['face_list']
detect_face(frame, faces, (0, 0, 255))
# 根据人脸位置调整无人机移动方向
for face in faces:
x, y, w, h = face['location']['left'], face['location']['top'], face['location']['width'], face['location']['height']
if x > 400:
tello.right(20)
elif x < 200:
tello.left(20)
if y > 300:
tello.down(20)
elif y < 100:
tello.up(20)
cv2.imshow('result', frame)
# 退出程序
if cv2.waitKey(1) & 0xFF == ord('q'):
break
# 释放内存
cv2.destroyAllWindows()
tello.streamoff()
tello.end()
```
请确保你已经安装了以上程序中用到的所有库和依赖。同时,你也需要先将 `your_app_id`、`your_api_key`、`your_secret_key` 替换为你在百度AI平台上申请的真实参数。
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