504 lines
18 KiB
Python
504 lines
18 KiB
Python
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#!/usr/bin/python3
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import os
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import sys
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import json
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import time
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import datetime
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from datetime import timedelta
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import traceback
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import logging.handlers
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import cv2
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import glob
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import pandas as pd
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import pika
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import boto3
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import serial
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os.environ['GENICAM_GENTL64_PATH'] = '/opt/ids-peak_2.9.0.0-48_amd64/lib/ids/cti/'
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from ids_peak import ids_peak as peak
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from ids_peak_ipl import ids_peak_ipl
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###############################################
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# Logger Setting #
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###############################################
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logger = logging.getLogger()
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logger.setLevel(logging.INFO)
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formatter = logging.Formatter('%(asctime)s - %(name)s - %(levelname)s - %(message)s')
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log_fileHandler = logging.handlers.RotatingFileHandler(
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filename=f"./logs/gseps.log",
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maxBytes=1024000,
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backupCount=3,
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mode='a')
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log_fileHandler.setFormatter(formatter)
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logger.addHandler(log_fileHandler)
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###############################################
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# Config #
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###############################################
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with open('./acquisition_config.json', 'r') as f:
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info = json.load(f)
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LASER_SAVE_PATH = info['laser_save_path']
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LASER_DEVICE_PATH = info['laser_device_path']
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S3_BUCKET = info['S3BucketName']
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GSEPS_STAGE_BUCKET = info['gseps_stage_bucket']
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S3_UPLOAD_KEY = info['BucketKey']
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s3 = boto3.resource('s3')
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sdt_s3 = boto3.resource('s3',
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aws_access_key_id=info['AccessKey'],
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aws_secret_access_key=info['SecretKey'],
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region_name=info['Boto3RegionName'])
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###############################################
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# Camera Variable #
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###############################################
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m_device = None
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m_dataStream = None
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m_node_map_remote_device = None
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m_device_2 = None
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m_dataStream_2 = None
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m_node_map_remote_device_2 = None
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class Publisher:
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def __init__(self):
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self.__url = info['amqp_url']
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self.__port = info['amqp_port']
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self.__vhost = info['amqp_vhost']
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self.__cred = pika.PlainCredentials(info['amqp_id'], info['amqp_pw'])
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self.__queue = info['amqp_queue']
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self.__ReadyQ = info['amqp_ReadyQ']
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def check_server_state(self):
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conn = pika.BlockingConnection(pika.ConnectionParameters(self.__url,
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self.__port,
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self.__vhost,
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self.__cred))
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chan = conn.channel()
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method, properties, body = chan.basic_get(queue=self.__ReadyQ,
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auto_ack=True)
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if method:
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chan.queue_purge(queue=self.__ReadyQ)
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conn.close()
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return True
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conn.close()
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return False
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def pub(self, body: dict):
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try:
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conn = pika.BlockingConnection(pika.ConnectionParameters(self.__url,
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self.__port,
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self.__vhost,
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self.__cred))
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chan = conn.channel()
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chan.basic_publish(exchange='',
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routing_key=self.__queue,
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body=json.dumps(body))
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conn.close()
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return
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except Exception as e:
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# add error alarm
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logger.error(traceback.format_exc())
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def open_camera():
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global m_device, m_node_map_remote_device, m_device_2, m_node_map_remote_device_2
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try:
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# Create instance of the device manager
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device_manager = peak.DeviceManager.Instance()
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# Update the device manager
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device_manager.Update()
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# Return if no device was found
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if device_manager.Devices().empty():
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return False
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# open the first openable device in the device manager's device list
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device_count = device_manager.Devices().size()
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if device_manager.Devices()[0].IsOpenable() and device_manager.Devices()[1].IsOpenable():
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m_device = device_manager.Devices()[1].OpenDevice(peak.DeviceAccessType_Control)
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# Get NodeMap of the RemoteDevice for all accesses to the GenICam NodeMap tree
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m_node_map_remote_device = m_device.RemoteDevice().NodeMaps()[0]
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m_device_2 = device_manager.Devices()[0].OpenDevice(peak.DeviceAccessType_Control)
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m_node_map_remote_device_2 = m_device_2.RemoteDevice().NodeMaps()[0]
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return True
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except Exception as e:
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print(e)
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logger.error(traceback.format_exc())
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return False
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def prepare_acquisition():
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global m_dataStream, m_dataStream_2
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try:
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data_streams = m_device.DataStreams()
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data_streams_2 = m_device_2.DataStreams()
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if data_streams.empty() or data_streams_2.empty():
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# no data streams available
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return False
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m_dataStream = m_device.DataStreams()[0].OpenDataStream()
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m_dataStream_2 = m_device_2.DataStreams()[0].OpenDataStream()
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return True
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except Exception as e:
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print(e)
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logger.error(traceback.format_exc())
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return False
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def set_roi(width, height):
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try:
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offset_x = int((4512 - width)/2)
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offset_y = int((4512 - height)/2)
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# Get the minimum ROI and set it. After that there are no size restrictions anymore
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x_min = m_node_map_remote_device.FindNode("OffsetX").Minimum()
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y_min = m_node_map_remote_device.FindNode("OffsetY").Minimum()
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w_min = m_node_map_remote_device.FindNode("Width").Minimum()
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h_min = m_node_map_remote_device.FindNode("Height").Minimum()
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m_node_map_remote_device.FindNode("OffsetX").SetValue(x_min)
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m_node_map_remote_device.FindNode("OffsetY").SetValue(y_min)
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m_node_map_remote_device.FindNode("Width").SetValue(w_min)
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m_node_map_remote_device.FindNode("Height").SetValue(h_min)
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# Get the maximum ROI values
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x_max = m_node_map_remote_device.FindNode("OffsetX").Maximum()
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y_max = m_node_map_remote_device.FindNode("OffsetY").Maximum()
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w_max = m_node_map_remote_device.FindNode("Width").Maximum()
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h_max = m_node_map_remote_device.FindNode("Height").Maximum()
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if (offset_x < x_min) or (offset_y < y_min) or (offset_x > x_max) or (offset_y > y_max):
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return False
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elif (width < w_min) or (height < h_min) or ((offset_x + width) > w_max) or ((offset_y + height) > h_max):
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return False
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else:
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# Now, set final AOI
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m_node_map_remote_device.FindNode("OffsetX").SetValue(offset_x)
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m_node_map_remote_device.FindNode("OffsetY").SetValue(offset_y)
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m_node_map_remote_device.FindNode("Width").SetValue(width)
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m_node_map_remote_device.FindNode("Height").SetValue(height)
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return True
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except Exception as e:
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logger.error(traceback.format_exc())
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return False
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def alloc_and_announce_buffers():
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try:
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if m_dataStream and m_dataStream_2:
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# cam1
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# Flush queue and prepare all buffers for revoking
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m_dataStream.Flush(peak.DataStreamFlushMode_DiscardAll)
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# Clear all old buffers
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for buffer in m_dataStream.AnnouncedBuffers():
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m_dataStream.RevokeBuffer(buffer)
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payload_size = m_node_map_remote_device.FindNode("PayloadSize").Value()
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# Get number of minimum required buffers
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num_buffers_min_required = m_dataStream.NumBuffersAnnouncedMinRequired()
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# Alloc buffers
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for count in range(num_buffers_min_required):
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buffer = m_dataStream.AllocAndAnnounceBuffer(payload_size)
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m_dataStream.QueueBuffer(buffer)
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# cam2
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m_dataStream_2.Flush(peak.DataStreamFlushMode_DiscardAll)
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for buffer in m_dataStream_2.AnnouncedBuffers():
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m_dataStream_2.RevokeBuffer(buffer)
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payload_size_2 = m_node_map_remote_device_2.FindNode("PayloadSize").Value()
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num_buffers_min_required_2 = m_dataStream_2.NumBuffersAnnouncedMinRequired()
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for count in range(num_buffers_min_required_2):
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buffer = m_dataStream_2.AllocAndAnnounceBuffer(payload_size_2)
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m_dataStream_2.QueueBuffer(buffer)
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return True
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except Exception as e:
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logger.error(traceback.format_exc())
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return False
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def start_acquisition():
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try:
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m_dataStream.StartAcquisition(peak.AcquisitionStartMode_Default, peak.DataStream.INFINITE_NUMBER)
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m_node_map_remote_device.FindNode("TLParamsLocked").SetValue(1)
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m_node_map_remote_device.FindNode("AcquisitionStart").Execute()
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# m_node_map_remote_device.FindNode("DeviceRegistersStreamingStart").Execute()
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m_dataStream_2.StartAcquisition(peak.AcquisitionStartMode_Default, peak.DataStream.INFINITE_NUMBER)
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m_node_map_remote_device_2.FindNode("TLParamsLocked").SetValue(1)
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m_node_map_remote_device_2.FindNode("AcquisitionStart").Execute()
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# m_node_map_remote_device.FindNode("DeviceRegistersStreamingStart").Execute()
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return True
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except Exception as e:
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logger.error(traceback.format_exc())
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return False
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# check alarm
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def check_distance():
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while True:
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try:
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ser = serial.Serial(LASER_DEVICE_PATH, baudrate=19200, timeout=1)
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req = b'\x01\x04\x00\x00\x00\x01\x31\xca'
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ser.write(req)
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result = ser.read(6)
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data_length = result[2]
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hex_distance = result[3:3+data_length]
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distance = int((int.from_bytes(hex_distance, byteorder='big'))/10)
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logger.info(f"laser_value : {distance}mm")
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ser.close()
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return distance
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except KeyboardInterrupt:
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ser.close()
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exit()
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except Exception as e:
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print(e)
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ser.close()
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#logger.error(traceback.format_exc())
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# raise
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#print(e)
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logger.error(f"Error : {e}")
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continue
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def upload_to_s3(company, image_list=None):
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today = datetime.date.today()
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if company == 'sdt':
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for path in image_list:
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image_name = path.split('/')[-1]
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date = image_name.split('-')[0]
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folder = f'{date[:4]}-{date[4:6]}-{date[6:]}'
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sdt_s3.Bucket(S3_BUCKET).upload_file(path, f'{folder}/{image_name}')
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os.remove(path)
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elif company == 'gseps':
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yesterday = today - timedelta(days=1)
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file_name = f'{yesterday.year:04d}{yesterday.month:02d}{yesterday.day:02d}'
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laser_csv = sorted(glob.glob(f'{LASER_SAVE_PATH}/{file_name}*.csv'))
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total_laser_info = pd.DataFrame()
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for path in laser_csv:
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try:
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csv = pd.read_csv(path)
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total_laser_info = pd.concat([total_laser_info, csv], ignore_index=True)
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#os.remove(path)
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except pd.errors.EmptyDataError as e:
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logger.error(f"Error: {path} pandas empty data error, {e}")
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laser_save_path = f'{LASER_SAVE_PATH}/{yesterday}-mv_laser_height.csv'
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total_laser_info.to_csv(laser_save_path, index=False)
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s3.Bucket(GSEPS_STAGE_BUCKET).upload_file(laser_save_path, f'{S3_UPLOAD_KEY}/year={yesterday.year}/month={yesterday.month:02d}/day={yesterday.day: 02d}/mv_laser_height.csv')
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sdt_s3.Bucket('gseps-daily').upload_file(laser_save_path, f'{yesterday}/mv_laser_height.csv')
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#os.remove(laser_save_path)
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def check_hour_for_laser(current_time):
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if current_time.minute == 0 and current_time.second == 0:
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return True
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return False
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def main():
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logger.info(f'Cam Initialize.')
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# initialize library
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peak.Library.Initialize()
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# add logger error
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if not open_camera():
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# error
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print(1)
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sys.exit(-1)
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logger.info(f'CAM Load.')
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if not prepare_acquisition():
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# error
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print(2)
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sys.exit(-2)
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if not set_roi(1208, 1024):
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# error
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print(3)
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sys.exit(-3)
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if not alloc_and_announce_buffers():
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# error
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print(4)
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sys.exit(-4)
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if not start_acquisition():
|
||
|
|
# error
|
||
|
|
print(5)
|
||
|
|
sys.exit(-5)
|
||
|
|
|
||
|
|
|
||
|
|
image_info = {}
|
||
|
|
publisher = Publisher()
|
||
|
|
|
||
|
|
laser_history = pd.DataFrame()
|
||
|
|
laser_count = 0
|
||
|
|
while True:
|
||
|
|
try:
|
||
|
|
now_datetime = datetime.datetime.now()
|
||
|
|
now_unix = int(now_datetime.timestamp())
|
||
|
|
now = now_datetime.strftime("%Y%m%d-%H%M%S%f")[:-3]
|
||
|
|
|
||
|
|
laser_value = check_distance()
|
||
|
|
event_flag = 0
|
||
|
|
if 50 <= laser_value < 500:
|
||
|
|
laser_count = 0
|
||
|
|
event_flag = 1
|
||
|
|
logger.info(f"Capture Start at {laser_value}")
|
||
|
|
|
||
|
|
# Get buffer from device's DataStream. Wait 5000 ms. The buffer is automatically locked until it is queued again.
|
||
|
|
################# CHANGE ####################
|
||
|
|
|
||
|
|
#cam1
|
||
|
|
buffer = m_dataStream.WaitForFinishedBuffer(1000)
|
||
|
|
image = ids_peak_ipl.Image.CreateFromSizeAndBuffer(
|
||
|
|
buffer.PixelFormat(),
|
||
|
|
buffer.BasePtr(),
|
||
|
|
buffer.Size(),
|
||
|
|
buffer.Width(),
|
||
|
|
buffer.Height()
|
||
|
|
)
|
||
|
|
image_processed = image.ConvertTo(ids_peak_ipl.PixelFormatName_BGRa8, ids_peak_ipl.ConversionMode_Fast)
|
||
|
|
# Queue buffer again
|
||
|
|
m_dataStream.QueueBuffer(buffer)
|
||
|
|
###############################################
|
||
|
|
img_numpy = image_processed.get_numpy()
|
||
|
|
|
||
|
|
# cam2
|
||
|
|
buffer = m_dataStream_2.WaitForFinishedBuffer(1000)
|
||
|
|
image = ids_peak_ipl.Image.CreateFromSizeAndBuffer(
|
||
|
|
buffer.PixelFormat(),
|
||
|
|
buffer.BasePtr(),
|
||
|
|
buffer.Size(),
|
||
|
|
buffer.Width(),
|
||
|
|
buffer.Height()
|
||
|
|
)
|
||
|
|
image_processed_2 = image.ConvertTo(ids_peak_ipl.PixelFormatName_BGRa8, ids_peak_ipl.ConversionMode_Fast)
|
||
|
|
# Queue buffer again
|
||
|
|
m_dataStream_2.QueueBuffer(buffer)
|
||
|
|
###############################################
|
||
|
|
img_numpy_2 = image_processed_2.get_numpy()
|
||
|
|
|
||
|
|
# save image
|
||
|
|
cam1_image_name = f'{now}_cam1.jpg'
|
||
|
|
cam2_image_name = f'{now}_cam2.jpg'
|
||
|
|
image_save_path = info['image_save_path']
|
||
|
|
|
||
|
|
if not os.path.exists(image_save_path):
|
||
|
|
os.makedirs(image_save_path)
|
||
|
|
|
||
|
|
cam1_image_path = os.path.join(image_save_path, cam1_image_name)
|
||
|
|
cam2_image_path = os.path.join(image_save_path, cam2_image_name)
|
||
|
|
cv2.imwrite(cam1_image_path, img_numpy)
|
||
|
|
cv2.imwrite(cam2_image_path, img_numpy_2)
|
||
|
|
print('cam1 path: ',cam1_image_path)
|
||
|
|
print('cam2 path: ',cam2_image_path)
|
||
|
|
|
||
|
|
# Upload image to MinIO(inference server)
|
||
|
|
image_list = [cam1_image_path, cam2_image_path]
|
||
|
|
upload_to_s3('sdt', image_list)
|
||
|
|
|
||
|
|
# publish
|
||
|
|
image_info = {'to': {"cam1_image_name": cam1_image_name,
|
||
|
|
"cam2_image_name": cam2_image_name,
|
||
|
|
"laser": laser_value,
|
||
|
|
"bucket": "gseps-dataset"}}
|
||
|
|
|
||
|
|
if publisher.check_server_state():
|
||
|
|
publisher.pub(image_info)
|
||
|
|
print(image_info)
|
||
|
|
|
||
|
|
############## CHANGE #######################
|
||
|
|
# Logger Contents Change // MinIO => S3 #
|
||
|
|
#############################################
|
||
|
|
logger.info(f'Successfully Uploaded To S3!. cam1: {cam1_image_name}, cam2: {cam2_image_name}')
|
||
|
|
# print(f'Successfully Uploaded To Minio!. cam1: {cam1_image_name}, cam2: {cam2_image_name}')
|
||
|
|
|
||
|
|
|
||
|
|
if 50 <= laser_value < 500:
|
||
|
|
current_laser_info = pd.DataFrame([{"timestamp": now_unix,
|
||
|
|
"laser_value": laser_value,
|
||
|
|
"event": event_flag}])
|
||
|
|
|
||
|
|
laser_history = pd.concat([laser_history, current_laser_info], ignore_index=True)
|
||
|
|
|
||
|
|
|
||
|
|
current_time = datetime.datetime.now()
|
||
|
|
# if check_hour_for_laser(current_time):
|
||
|
|
if current_time.minute == 0:
|
||
|
|
today = datetime.date.today()
|
||
|
|
laser_save_hour = (current_time - timedelta(hours=1)).strftime('%Y%m%d-%H')
|
||
|
|
hour = current_time.hour
|
||
|
|
|
||
|
|
date = laser_save_hour.split('-')[0]
|
||
|
|
folder = f'{date[:4]}-{date[4:6]}-{date[6:]}'
|
||
|
|
|
||
|
|
if not os.path.exists(f'{LASER_SAVE_PATH}/{laser_save_hour}.csv'):
|
||
|
|
laser_history.to_csv(f'{LASER_SAVE_PATH}/{laser_save_hour}.csv', index=False)
|
||
|
|
sdt_s3.Bucket('gseps-daily').upload_file(f'{LASER_SAVE_PATH}/{laser_save_hour}.csv', f'{folder}/laser/{laser_save_hour}.csv')
|
||
|
|
laser_history = pd.DataFrame()
|
||
|
|
|
||
|
|
#if hour == 0:
|
||
|
|
# upload_to_s3('gseps')
|
||
|
|
|
||
|
|
laser_count += 1
|
||
|
|
time.sleep(0.3)
|
||
|
|
|
||
|
|
except Exception as e:
|
||
|
|
|
||
|
|
logger.error(traceback.format_exc())
|
||
|
|
exit()
|
||
|
|
|
||
|
|
peak.Library.Close()
|
||
|
|
sys.exit(0)
|
||
|
|
|
||
|
|
|
||
|
|
if __name__ == '__main__':
|
||
|
|
main()
|
||
|
|
|