Python AppSettings.ensure_label_folders_exist示例

示例#1

from azure.storage.blob import BlobServiceClient, BlobClient, ContainerClient

#Define some globals
GPIO.setmode(GPIO.BCM)
camera = RCamera()  #Camera connected to camera pins
credentials: Credentials = Credentials()
device_client: IoTCClient = None  #IoTHubDeviceClient.create_from_connection_string(credentials.get_credentail_info(CredentialInfo.connection_string))
start_time = datetime.now()
tfclassifier = TFClassify()
tfclassifier2 = TFClassify2()
log: logging.Logger = app_logger.get_logger()
log.info(f"TensorFlow took {datetime.now() - start_time} seconds to load")

modelTier = "tier1"
_app_settings = AppSettings()
_app_settings.ensure_label_folders_exist(modelTier)

modelTier2 = "tier2"
_app_settings2 = AppSettings()
_app_settings.ensure_label_folders_exist(modelTier2)

# Set the trigger word for setting a sub tier model lookup
_subTierTrigger = _app_settings.get_SubTierTrigger(modelTier)
_subTierTrigger2 = _app_settings2.get_SubTierTrigger(modelTier2)

_USE_TEST_MODE = False
_USE_BLOB_STORGE = False

#_app_settings = AppSettings()
#These commands are sent by IoT Central to the device
_IoT_Commands = {

示例#2

文件： motion.py 项目： marlinspike/BeeTracker

import iot_events.iot_commands as iot_commands

#Define some globals
GPIO.setmode(GPIO.BCM)
move_sensor = MotionSensor(17)  #Motion Sensor control connected to GPIO pin 17
red_led = LED(18)   #LED connected to GPIO pin 18
camera = RCamera()  #Camera connected to camera pins
credentials: Credentials = Credentials()
device_client: IoTCClient = None #IoTHubDeviceClient.create_from_connection_string(credentials.get_credentail_info(CredentialInfo.connection_string))
start_time = datetime.now()
tfclassifier = TFClassify()
log:logging.Logger = app_logger.get_logger()
#print(f"TensorFlow took {datetime.now() - start_time} seconds to load")
log.info(f"TensorFlow took {datetime.now() - start_time} seconds to load")
_app_settings = AppSettings()
_app_settings.ensure_label_folders_exist()
_USE_TEST_MODE = False
#These commands are sent by IoT Central to the device

_IoT_Commands = {
    'DownloadModel': iot_commands.iot_download_model,
    'UploadImages': iot_commands.iot_upload_images,
    'Blink': iot_commands.iot_blink
}

async def send_iot_message(message=""):
    await device_events.send_iot_message(device_client, message)

def movement_detected():
    global start_time, _USE_TEST_MODE
    log.info("Movement Detected!")