RasPi Family

🔌 Let's Create Some Interesting Things By RasPi !

📖《The Official Raspberry Pi Handbook 2021》 : To help you get the most of out of your Raspberry Pi computer, this official Handbook features 200 pages of essential information, inspiring projects, practical tutorials, and definitive reviews.


							# 摄像头
							cap = cv2.VideoCapture(0)
							# 人脸分类级联
							face_cascade = cv2.CascadeClassifier(cv2.data.haarcascades + 'haarcascade_frontalface_default.xml')
							# 人眼分类级联
							eye_cascade = cv2.CascadeClassifier(cv2.data.haarcascades + 'haarcascade_eye.xml')
							# 获取摄像头拍摄到的画面
							ret, frame = cap.read()
							faces = face_cascade.detectMultiScale(frame, 1.3, 5)
							img = frame
							# 用人脸级联分类器引擎在人脸区域进行脸部识别
							for (x, y, w, h) in faces:
								# 画出人脸框, 蓝色, 画笔宽度为 2
								img = cv2.rectangle(img, (x, y), (x + w, y + h), (255, 0, 0), 2)
								# 框选出人脸区域, 在人脸区域而不是全图中进行人眼检测, 节省计算资源
								face_area = img[y:y + h, x:x + w]
								eyes = eye_cascade.detectMultiScale(face_area, 1.3, 15)
								# 用人眼级联分类器引擎在人脸区域进行人眼识别, 返回的 eyes 为眼睛坐标列表
								for (ex, ey, ew, eh) in eyes:
									# 画出人眼框, 绿色, 画笔宽度为 1
									cv2.rectangle(face_area, (ex, ey), (ex + ew, ey + eh), (0, 255, 0), 1)
							# 实时展示效果画面
							cv2.imshow('Camera Frame', img)

📷 A simple face recognition program which base on Baidu AIP and output the voice prompt by Pyttsx3. [ github repo ]


							# 百度语音播报今天天气状况
							def Voice_broadcast(weather_forcast_txt):
								weather_info = weather_forcast_txt
								# 将天气信息推送到微信
								if SendToWeChat(weather_forcast_txt):
									weather_info = weather_info + \
									'最后, 以上天气预报内容已通过「Server 酱」推送到了你的微信~'
								else:
									weather_info = weather_info + \
									'注意: 以上天气预报内容无法通过「Server 酱」推送到你的微信!'
								client = AipSpeech(APP_ID, API_KEY, SECRET_KEY)
								result = client.synthesis(weather_info, 'zh', 1, {'vol': 5, 'per': 0})
								if not isinstance(result, dict):
									with open(BAIDU_TTS_MP3, 'wb') as f:
										f.write(result)
									f.close()
								# 播放语音
								subprocess.getoutput('mplayer .tts.mp3')

								
							# 将获取的天气信息推送到微信
							def SendToWeChat(weather_forecast_txt):
								# text 为推送的 title, desp 为推送的 description
								title = "天气预报来咯~"
								content = weather_forecast_txt
								data = {"text": title, "desp": content}
								# 发送
								return True if requests.post(SERVER_API, data=data).status_code == 200 else False

🌈 Get the weather information then ouput voice prompt and send it to your WeChat on the specified time. [ github repo ]


							# Return ip address
							def getIpAddress():
								p = os.popen("hostname -I")
								return p.readline().strip()

							# Return CPU temperature as a character string
							def getCPUtemperature():
								res = os.popen('vcgencmd measure_temp').readline()
								return (res.replace("temp=", "").replace("'C\n", ""))
							
							# Return % of CPU used by user as a character string
							def getCPUuse():
								return (str(os.popen("top -n1 | awk '/Cpu\(s\):/ {print $2}'").readline().strip()))

👀 Get the system information of RasPi then ouput voice prompt and send it to your WeChat on the specified time. [ github repo ]


							print('enter main')
							while endSnow == False:
								interrupted = False
								detector = snowboydecoder.HotwordDetector('resources/snowboy.umdl', sensitivity=0.5)
								print('等待唤醒')
								detector.start(detected_callback=detected,
											interrupt_check=interrupt_callback,
											sleep_time=0.03)
								my_record()
								TOKEN = fetch_token()
								speech = get_audio(FILEPATH)
								result = speech2text(speech, TOKEN, int(80001))
								if type(result) == str:
									identifyComplete(result)