Commit 22b49e45 authored by kayef.ahamad's avatar kayef.ahamad

cement-count

parent 7774e361
# Byte-compiled / optimized / DLL files
__pycache__/
*.py[cod]
*$py.class
*pyc
# C extensions
*.so
# Distribution / packaging
.Python
build/
develop-eggs/
dist/
downloads/
eggs/
.eggs/
lib/
lib64/
parts/
sdist/
var/
wheels/
share/python-wheels/
*.egg-info/
.installed.cfg
*.egg
MANIFEST
# PyInstaller
# Usually these files are written by a python script from a template
# before PyInstaller builds the exe, so as to inject date/other infos into it.
*.manifest
*.spec
# Installer logs
pip-log.txt
pip-delete-this-directory.txt
# Unit test / coverage reports
htmlcov/
.tox/
.nox/
.coverage
.coverage.*
.cache
nosetests.xml
coverage.xml
*.cover
*.py,cover
.hypothesis/
.pytest_cache/
cover/
# Translations
*.mo
*.pot
# Django stuff:
*.log
local_settings.py
db.sqlite3
db.sqlite3-journal
# Flask stuff:
instance/
.webassets-cache
# Scrapy stuff:
.scrapy
# Sphinx documentation
docs/_build/
# PyBuilder
.pybuilder/
target/
# Jupyter Notebook
.ipynb_checkpoints
# IPython
profile_default/
ipython_config.py
# pyenv
# For a library or package, you might want to ignore these files since the code is
# intended to run in multiple environments; otherwise, check them in:
# .python-version
# pipenv
# According to pypa/pipenv#598, it is recommended to include Pipfile.lock in version control.
# However, in case of collaboration, if having platform-specific dependencies or dependencies
# having no cross-platform support, pipenv may install dependencies that don't work, or not
# install all needed dependencies.
#Pipfile.lock
# PEP 582; used by e.g. github.com/David-OConnor/pyflow
__pypackages__/
# Celery stuff
celerybeat-schedule
celerybeat.pid
# SageMath parsed files
*.sage.py
# Environments
.env
.venv
env/
venv/
ENV/
env.bak/
venv.bak/
# Spyder project settings
.spyderproject
.spyproject
# Rope project settings
.ropeproject
# mkdocs documentation
/site
# mypy
.mypy_cache/
.dmypy.json
dmypy.json
# Pyre type checker
.pyre/
# pytype static type analyzer
.pytype/
# Cython debug symbols
cython_debug/
FROM python:3.7
RUN apt-get update
RUN apt-get install tzdata vim -y
RUN apt-get update && apt-get install tzdata ffmpeg libsm6 libxext6 -y
RUN pip3 install --upgrade pip
RUN pip3 install matplotlib>=3.2.2 tensorboard>=2.4.1 numpy>=1.18.5 opencv-python>=4.1.2 Pillow>=7.1.2 PyYAML>=5.3.1 requests>=2.23.0 scipy>=1.4.1 torch>=1.7.0 torchvision>=0.8.1 tqdm>=4.41.0 pandas seaborn expiringdict minio cachetools
RUN pip3 install Cython paho-mqtt==1.5.0 scikit-learn==0.22.2
RUN pip3 install pymongo==2.8
RUN pip3 install imutils
ADD . /app
#ADD Arial.ttf /root/.config/Ultralytics/
WORKDIR /app
CMD ["python3","app.py"]
FROM azracrilensai.azurecr.io/repository/ilens-ai/ilens-openvino-base:v1
#RUN apt-get update
RUN apt-get install -y libsm6 libxext6 libxrender-dev
RUN apt-get install tzdata
RUN pip3 install --upgrade pip
RUN pip3 install minio cachetools
RUN pip3 install yolov5processor==0.0.3
RUN pip3 install expiringdict
RUN pip3 install torch==1.6.0
RUN pip3 install torchvision==0.7.0
RUN pip3 install numpy~=1.18.5
RUN pip3 install pymongo~=3.10.1
RUN pip3 install opencv-python~=4.2.0.34
#RUN pip3 apt update &&
ADD . /app
WORKDIR /app
CMD ["bash","app.sh"]
# Cement Count # Cement Bag Detection
\ No newline at end of file
Cement Count
\ No newline at end of file
from edge_engine.edge_processor import ExecutePipeline
from edge_engine.edge_processor import Pubs
from scripts import CementBagCounter
from edge_engine.common.config import EDGE_CONFIG
if __name__ == '__main__':
pubs = Pubs()
mod = CementBagCounter(config=EDGE_CONFIG,
model_config=EDGE_CONFIG["modelConfig"],
pubs=pubs,
device_id=EDGE_CONFIG['deviceId'])
ex = ExecutePipeline(mod)
ex.run_model()
source /opt/intel/openvino/bin/setupvars.sh
python3 app.py
\ No newline at end of file
This diff is collapsed.
<?xml version="1.0" encoding="UTF-8"?>
<module type="PYTHON_MODULE" version="4">
<component name="NewModuleRootManager">
<content url="file://$MODULE_DIR$" />
<orderEntry type="jdk" jdkName="Python 3.7" jdkType="Python SDK" />
<orderEntry type="sourceFolder" forTests="false" />
</component>
</module>
\ No newline at end of file
<component name="InspectionProjectProfileManager">
<settings>
<option name="USE_PROJECT_PROFILE" value="false" />
<version value="1.0" />
</settings>
</component>
\ No newline at end of file
<?xml version="1.0" encoding="UTF-8"?>
<project version="4">
<component name="ProjectRootManager" version="2" project-jdk-name="Python 3.7" project-jdk-type="Python SDK" />
</project>
\ No newline at end of file
<?xml version="1.0" encoding="UTF-8"?>
<project version="4">
<component name="ProjectModuleManager">
<modules>
<module fileurl="file://$PROJECT_DIR$/.idea/edge_engine.iml" filepath="$PROJECT_DIR$/.idea/edge_engine.iml" />
</modules>
</component>
</project>
\ No newline at end of file
<?xml version="1.0" encoding="UTF-8"?>
<project version="4">
<component name="VcsDirectoryMappings">
<mapping directory="$PROJECT_DIR$/.." vcs="Git" />
</component>
</project>
\ No newline at end of file
<?xml version="1.0" encoding="UTF-8"?>
<project version="4">
<component name="ChangeListManager">
<list default="true" id="13900a5d-57a3-4c5f-9fe3-e875b7baffb5" name="Default Changelist" comment="">
<change beforePath="$PROJECT_DIR$/.idea/edge_engine.iml" beforeDir="false" afterPath="$PROJECT_DIR$/.idea/edge_engine.iml" afterDir="false" />
<change beforePath="$PROJECT_DIR$/.idea/workspace.xml" beforeDir="false" afterPath="$PROJECT_DIR$/.idea/workspace.xml" afterDir="false" />
</list>
<option name="SHOW_DIALOG" value="false" />
<option name="HIGHLIGHT_CONFLICTS" value="true" />
<option name="HIGHLIGHT_NON_ACTIVE_CHANGELIST" value="false" />
<option name="LAST_RESOLUTION" value="IGNORE" />
</component>
<component name="Git.Settings">
<option name="RECENT_GIT_ROOT_PATH" value="$PROJECT_DIR$/.." />
</component>
<component name="ProjectId" id="1vylO2pvTucEIc7ebybHbpXe1ex" />
<component name="ProjectLevelVcsManager" settingsEditedManually="true" />
<component name="ProjectViewState">
<option name="hideEmptyMiddlePackages" value="true" />
<option name="showExcludedFiles" value="true" />
<option name="showLibraryContents" value="true" />
</component>
<component name="PropertiesComponent">
<property name="RunOnceActivity.ShowReadmeOnStart" value="true" />
<property name="settings.editor.selected.configurable" value="com.jetbrains.python.configuration.PyActiveSdkModuleConfigurable" />
</component>
<component name="ServiceViewManager">
<option name="viewStates">
<list>
<serviceView>
<treeState>
<expand />
<select />
</treeState>
</serviceView>
</list>
</option>
</component>
<component name="SvnConfiguration">
<configuration />
</component>
<component name="TaskManager">
<task active="true" id="Default" summary="Default task">
<changelist id="13900a5d-57a3-4c5f-9fe3-e875b7baffb5" name="Default Changelist" comment="" />
<created>1627542175766</created>
<option name="number" value="Default" />
<option name="presentableId" value="Default" />
<updated>1627542175766</updated>
</task>
<servers />
</component>
<component name="WindowStateProjectService">
<state x="2061" y="163" key="SettingsEditor" timestamp="1627566036512">
<screen x="1600" y="0" width="1920" height="1040" />
</state>
<state x="2061" y="163" key="SettingsEditor/0.0.1600.860/1600.0.1920.1040@1600.0.1920.1040" timestamp="1627566036512" />
<state x="2256" y="345" key="com.intellij.ide.util.TipDialog" timestamp="1627565995337">
<screen x="1600" y="0" width="1920" height="1040" />
</state>
<state x="2256" y="345" key="com.intellij.ide.util.TipDialog/0.0.1600.860/1600.0.1920.1040@1600.0.1920.1040" timestamp="1627565995337" />
<state x="2256" y="345" key="com.intellij.ide.util.TipDialog/0.42.1600.818/1600.0.1920.1040@1600.0.1920.1040" timestamp="1627542183386" />
</component>
</project>
\ No newline at end of file
from edge_engine.ai.model.modelwraper import ModelWrapper
from abc import ABC, abstractmethod
class ModelWrapper(ABC):
def __init__(self, path=None):
"""Implement code to load mask_model here"""
pass
def _pre_process(self, x):
"""Implement code to process raw input into format required for mask_model inference here"""
return x
def _post_process(self, x):
"""Implement any code to post-process mask_model inference response here"""
return x
@abstractmethod
def _predict(self, x):
"""Implement core mask_model inference code here"""
pass
def predict(self, x):
pre_x = self._pre_process(x)
prediction = self._predict(pre_x)
result = self._post_process(prediction)
return result
# import the necessary packages
import cv2
import numpy as np
class GammaPreprocessor:
def __init__(self, gamma=1.0):
# creating Gamma table
self.invGamma = 1.0 / gamma
self.table = np.array([((i / 255.0) ** self.invGamma) * 255
for i in np.arange(0, 256)]).astype("uint8")
def preprocess(self, image):
return cv2.LUT(image, self.table)
# import the necessary packages
from keras.preprocessing.image import img_to_array
class ImageToArrayPreprocessor:
def __init__(self, dataFormat=None):
# store the image data format
self.dataFormat = dataFormat
def preprocess(self, image):
# apply the Keras utility function that correctly rearranges
# the dimensions of the image
return img_to_array(image, data_format=self.dataFormat)
# import the necessary packages
import cv2
class SimpleHistogramPreprocessor:
def __init__(self):
pass
def preprocess(self, image):
# Run Histogram simple Equalization
return cv2.equalizeHist(image)
# import the necessary packages
import cv2
class SimplePreprocessor:
def __init__(self, width, height, inter=cv2.INTER_AREA):
# store the target image width, height, and interpolation
# method used when resizing
self.width = width
self.height = height
self.inter = inter
def preprocess(self, image):
# resize the image to a fixed size, ignoring the aspect
# ratio
return cv2.resize(image, (self.width, self.height),
interpolation=self.inter)
import os
import sys
from edge_engine.common.constants import LicenseModule
from dateutil import parser
from datetime import datetime
from pymongo import MongoClient
from copy import deepcopy
import json
def licence_validator(payload):
try:
dt = parser.parse(payload['valid_till'])
now = datetime.now()
if (now > dt):
sys.stdout.write("Licence Expired \n".format())
sys.stdout.flush()
return False
return True
except KeyError as e:
sys.stderr.write("Error loading licence")
return False
def get_config_from_mongo(mongo_uri, dbname, basecollection,
key, value):
mongo = MongoClient(mongo_uri)
db = mongo[dbname]
config = db[basecollection].find_one({key: value}, {"_id": False})
return config
def load_conf(config, mongo_uri, dbname):
mongo = MongoClient(mongo_uri)
db = mongo[dbname]
pub_configs = []
for conf in config['pubConfigs']:
if conf["type"].lower() in ["mqtt", "mongo", ]:
key = conf["key"]
value = conf["value"]
collection = conf["conectionCollection"]
pub_conf = db[collection].find_one({key: value}, {"_id": False})
pub_conf.update(conf)
pub_configs.append(pub_conf)
else:
pub_configs.append(conf)
config['pubConfigs'] = pub_configs
return config
# """
# {
# "MONGO_URI": "mongodb://192.168.3.220:21017",
# "MONGO_DATABASE": "ilens_thermal_app",
# "MONGO_COLLECTION": "janus_deployment_details",
# "MONGO_KEY": "deploymentId",
# "MONGO_VALUE": "ddd"
# }
# """
LOG_LEVEL = os.environ.get("LOG_LEVEL", default="INFO").upper()
LOG_HANDLER_NAME = os.environ.get("LOG_HANDLER_NAME", default="ilens-edge_engine")
BASE_LOG_PATH = os.environ.get('BASE_LOG_PATH',
default=os.path.join(os.getcwd(), "logs".format()))
if not os.path.isdir(BASE_LOG_PATH):
os.mkdir(BASE_LOG_PATH)
CONFIG_ENV = json.loads(os.environ.get('config', default=None))
sys.stdout.write("config->{} \n".format(json.dumps(CONFIG_ENV)))
MONGO_URI = CONFIG_ENV.get('MONGO_URI', None)
MONGO_DATABASE = CONFIG_ENV.get('MONGO_DATABASE', None)
MONGO_COLLECTION = CONFIG_ENV.get('MONGO_COLLECTION', None)
MONGO_KEY = CONFIG_ENV.get('MONGO_KEY', None)
MONGO_VALUE = CONFIG_ENV.get('MONGO_VALUE', None)
if MONGO_URI == None \
or MONGO_DATABASE is None \
or MONGO_COLLECTION is None \
or MONGO_KEY is None \
or MONGO_VALUE is None:
sys.stderr.write("invalid mongo config \n")
sys.exit(1)
state = os.environ.get('state',default='prod')
if state == 'dev':
with open('Edge_Config.json') as f:
EDGE_CONFIG = json.load(f)
else:
EDGE_CONFIG = get_config_from_mongo(
mongo_uri=MONGO_URI,
dbname=MONGO_DATABASE, basecollection=MONGO_COLLECTION,
key=MONGO_KEY, value=MONGO_VALUE
)
DEVICE_ID = EDGE_CONFIG["deviceId"]
if EDGE_CONFIG is None:
sys.stderr.write("invalid EDGE_CONFIG config \n")
sys.exit(1)
EDGE_CONFIG = load_conf(EDGE_CONFIG, mongo_uri=MONGO_URI,
dbname=MONGO_DATABASE)
DATA_PATH = EDGE_CONFIG["inputConf"].get('dataPath', os.path.join(os.getcwd(), "data".format()))
sys.stderr.write("Loading data from {} \n".format(DATA_PATH))
This diff is collapsed.
class LicenseModule:
private_key = "3139343831323738414d47454e3936363538373136"
encoding_algorithm = "HS256"
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from edge_engine.common.config import LOG_LEVEL, LOG_HANDLER_NAME, BASE_LOG_PATH
import logging
from logging.handlers import RotatingFileHandler
from logging import WARNING,INFO,DEBUG,ERROR
import os
DEFAULT_FORMAT = '%(asctime)s %(levelname)5s %(name)s %(message)s'
DEBUG_FORMAT = '%(asctime)s %(levelname)5s %(name)s [%(threadName)5s:%(filename)5s:%(funcName)5s():%(lineno)s] %(message)s'
EXTRA = {}
FORMATTER = DEFAULT_FORMAT
if LOG_LEVEL.strip() == "DEBUG":
FORMATTER = DEBUG_FORMAT
def get_logger(log_handler_name, extra=EXTRA):
"""
Purpose : To create logger .
:param log_handler_name: Name of the log handler.
:param extra: extra args for the logger
:return: logger object.
"""
log_path = os.path.join(BASE_LOG_PATH, log_handler_name + ".log")
logstash_temp = os.path.join(BASE_LOG_PATH, log_handler_name + ".db")
logger = logging.getLogger(log_handler_name)
logger.setLevel(LOG_LEVEL.strip().upper())
log_handler = logging.StreamHandler()
log_handler.setLevel(LOG_LEVEL)
formatter = logging.Formatter(FORMATTER)
log_handler.setFormatter(formatter)
handler = RotatingFileHandler(log_path, maxBytes=10485760,
backupCount=5)
handler.setFormatter(formatter)
logger.addHandler(log_handler)
logger.addHandler(handler)
logger = logging.LoggerAdapter(logger, extra)
return logger
logger = get_logger(LOG_HANDLER_NAME)
import os, time
from minio import Minio
from minio.error import S3Error as ResponseError
from edge_engine.common.logsetup import logger
class MinioClient:
def __init__(self ,SECRET_KEY, ACCESS_KEY, BUCKET_NAME, LOCAL_DATA_PATH, MINIO_IP):
logger.info("Initalizing minioclient !!")
self.SECRET_KEY = SECRET_KEY
self.ACCESS_KEY = ACCESS_KEY
self.BUCKET_NAME = BUCKET_NAME
self.LOCAL_DATA_PATH = LOCAL_DATA_PATH
self.MINIO_IP = MINIO_IP
self.logfile = "./logs/videowrite.log"
self.minioClient = self.connect_to_minio()
self.create_bucket(self.BUCKET_NAME)
def connect_to_minio(self):
if self.SECRET_KEY is not None and self.ACCESS_KEY is not None:
logger.info("Connecting to Minio Service... !!! ")
minio_client = Minio(self.MINIO_IP, access_key = self.ACCESS_KEY, secret_key = self.SECRET_KEY,
region='us-east-1', secure=False)
return minio_client
else:
logger.info('Access Key and Secret Key String cannot be null')
raise Exception('Access Key and Secret Key String cannot be null')
def create_bucket(self, bucket_name):
try:
if bucket_name not in self.list_buckets():
logger.info("Creating bucket {}...".format(bucket_name))
self.minioClient.make_bucket(bucket_name, location="us-east-1")
else:
logger.info("Bucket already exists....")
except ResponseError as err:
logger.error(err)
def save_to_bucket(self, bucket_name, data_obj):
try:
with open(data_obj, 'rb') as file:
file_stat = os.stat(data_obj)
self.minioClient.put_object(bucket_name, data_obj.split(self.LOCAL_DATA_PATH)[1],
file, file_stat.st_size)
except ResponseError as err:
logger.error(err)
def list_buckets(self):
bucketobjects = self.minioClient.list_buckets()
bucketlist = []
for eachbucket in bucketobjects:
bucketlist.append(eachbucket.name)
return bucketlist
def read_write_logs(self):
try:
f = open(self.logfile)
except Exception as err:
print(err)
with open(self.logfile, "a") as startfile:
startfile.write("")
f = open(self.logfile)
return [line.split('\n')[0] for line in f]
def write_write_logs(self, log_str):
with open(self.logfile, "a") as my_file:
my_file.write(log_str + "\n")
def upload(self):
if self.LOCAL_DATA_PATH[-1]!='/':
self.LOCAL_DATA_PATH = self.LOCAL_DATA_PATH+"/"
while True:
listoffiles = [os.path.join(path, name) for path, subdirs, files in os.walk(self.LOCAL_DATA_PATH) for name in files]
listofwrittenfiles = self.read_write_logs()
listofnewfiles = list(set(listoffiles) - set(listofwrittenfiles))
for fileName in listofnewfiles:
try:
logger.info("Uploading {}..".format(fileName.split(self.LOCAL_DATA_PATH)[1]))
self.save_to_bucket(self.BUCKET_NAME, fileName)
self.write_write_logs(fileName)
except Exception as e:
logger.error(e)
time.sleep(5)
# if __name__=='__main__':
# SECRET_KEY = 'minioadmin'
# ACCESS_KEY = 'minioadmin'
# BUCKET_NAME = 'videobucket'
# MINIO_IP = '192.168.3.220:29000'
# LOCAL_DATA_PATH = "F:/GDrive Data/Downloads"
# obj = MinioClient(SECRET_KEY, ACCESS_KEY, BUCKET_NAME, LOCAL_DATA_PATH, MINIO_IP)
# obj.upload()
from edge_engine.common.logsetup import logger
from edge_engine.common.config import EDGE_CONFIG
from edge_engine.streamio.datastream import MQTT
from edge_engine.streamio.datastream import VideoOutputStream
from edge_engine.streamio.datastream import FrameOutputStream
from edge_engine.streamio.datastream import FFMPEGOutputStream, OPENCVOutputStream
from edge_engine.streamio.datastream import MongoDataStreamOut
from edge_engine.streamio.videostream import ThreadedVideoStream
from edge_engine.streamio.videostream import FileVideoStream
from edge_engine.streamio.datastream import DummyPublisher
from edge_engine.streamio.frameProcessor import FrameProcessor
from edge_engine.common.minio_server import MinioClient
import json
from threading import Thread
import os
class Pubs():
def __init__(self):
self.mqtt_pub = DummyPublisher(name="MQTT")
self.frame_write = DummyPublisher(name="FRAME")
self.video_write = DummyPublisher(name="VIDEO")
self.mongo_write = DummyPublisher(name="MONGO")
self.rtp_write = DummyPublisher(name="RTP")
self.build_pubs()
if 'minioConfig' in EDGE_CONFIG.keys() and \
isinstance(EDGE_CONFIG["minioConfig"], dict):
self.minio_thread = self.start_minio(EDGE_CONFIG["minioConfig"])
@staticmethod
def start_minio(minio_conf):
obj = MinioClient(minio_conf['secretKey'], minio_conf['accessKey'],
minio_conf['bucketName'], minio_conf['localDataPath'],
minio_conf['ip'])
t = Thread(target=obj.upload)
t.start()
return t
def build_pubs(self):
logger.info("building publishers ")
state = os.environ.get('state', 'prod')
for conf in EDGE_CONFIG["pubConfigs"]:
if conf["type"].upper() == "MQTT":
self.mqtt_pub = MQTT(broker=conf["broker"], topic=conf["topic"], port=conf["port"]
, publish_hook=json.dumps)
elif conf["type"].upper() == "FRAMEWRITE":
self.frame_write = FrameOutputStream(
basepath=conf["basepath"],
iformat=conf["iformat"],
filenameFormat=conf["filenameFormat"],
publish_hook=None)
elif conf["type"].upper() == "VIDEOWRITE":
self.video_write = VideoOutputStream(basepath=conf["basepath"],
dims=conf["dims"],
filenameFormat=conf["filenameFormat"],
fps=conf["fps"], publish_hook=None)
elif conf["type"].upper() == "MONGO":
self.mongo_write = MongoDataStreamOut(host=conf["host"],
port=conf["port"],
dbname=conf["dbname"],
collection=conf["collection"],
keys=conf["keys"],
authsource=conf["authSource"],
username=conf["username"],
password=conf["password"],
publish_hook=None)
elif conf["type"].upper() == "RTP":
self.rtp_write = FFMPEGOutputStream(conf["ffmpegCmd"], conf["RTPEndpoint"], publish_hook=None)
elif conf["type"].upper() == "OPENCV":
logger.info('Dev Testing, Video output will be loaded on new window')
self.rtp_write = OPENCVOutputStream()
else:
logger.error("Unsupported publisher {}".format(conf["type"]))
class ExecutePipeline:
def __init__(self, model):
self.model = model
def run_model(self):
if EDGE_CONFIG["inputConf"]["sourceType"].lower() in ["rtsp", "usbcam"]:
logger.info("Selected input stream as Direct cv input")
self.threadedVideoStream = ThreadedVideoStream(stream_config=EDGE_CONFIG["inputConf"])
self.threadedVideoStream.start()
self.frameProcessor = FrameProcessor(stream=self.threadedVideoStream,
model=self.model)
elif EDGE_CONFIG["inputConf"]["sourceType"].lower() == "videofile":
self.fileVideoStream = FileVideoStream(stream_config=EDGE_CONFIG["inputConf"])
self.fileVideoStream.start()
self.frameProcessor = FrameProcessor(stream=self.fileVideoStream, model=self.model)
else:
raise ValueError("unsupported source {}".format(EDGE_CONFIG["inputConf"]["sourceType"]))
self.start_model()
def start_model(self):
self.frameProcessor.run_model()
from edge_engine.streamio.frameProcessor import FrameProcessor
from .datastreamprocessor import DataStreamProcessor
from edge_engine.streamio.datastream.datastreamwrapper import DataStreamWrapper
from edge_engine.streamio.datastream.mongodatastreamout import MongoDataStreamOut
from edge_engine.streamio.datastream.frameoutputstream import FrameOutputStream
from edge_engine.streamio.datastream.videooutputstream import VideoOutputStream
from edge_engine.streamio.datastream.mqttstream import MQTT
from edge_engine.streamio.datastream.ffmpegdata_streamout import FFMPEGOutputStream
from edge_engine.streamio.datastream.dummyouputstreamer import DummyPublisher
from edge_engine.streamio.datastream.opencvimshowout import OPENCVOutputStream
\ No newline at end of file
from abc import ABC, abstractmethod
class DataStreamWrapper(ABC):
def __init__(self):
"""Implement code to load mask_model here"""
pass
def publish(self, x):
"""Implement code to publish"""
return x
def subscribe(self,hook):
"""Implement code to subscribe"""
return None
\ No newline at end of file
from edge_engine.common.logsetup import logger
from edge_engine.streamio.datastream.datastreamwrapper import DataStreamWrapper
class DummyPublisher(DataStreamWrapper):
def __init__(self, name):
super().__init__()
self.name = name
def publish(self, x):
logger.warn(f"{self.name} Publisher is not configured but you are using it !!!!!!!!!")
from edge_engine.streamio.datastream.datastreamwrapper import DataStreamWrapper
import subprocess as sp
class FFMPEGOutputStream(DataStreamWrapper):
def __init__(self, ffmpeg_cmd, rtp_endpoint, publish_hook=None):
super().__init__()
self.ffmpeg_cmd = ffmpeg_cmd
self.rtp_endpoint = rtp_endpoint
self.ffmpeg_cmd.append(self.rtp_endpoint[0])
self.proc = sp.Popen(self.ffmpeg_cmd, stdin=sp.PIPE, shell=False)
self.publish_hook = publish_hook
def publish(self, x):
if self.publish_hook is not None:
x = self.publish_hook(x)
frame = x["frame"]
self.proc.stdin.write(frame.tostring())
self.proc.stdin.flush()
from edge_engine.streamio.datastream.datastreamwrapper import DataStreamWrapper
import cv2
import base64
import numpy as np
import os
from edge_engine.common.logsetup import logger
from datetime import datetime
class FrameOutputStream(DataStreamWrapper):
def __init__(self, basepath, iformat="jpg", filenameFormat="{deviceId}_{frameId}_{timestamp}", publish_hook=None):
super().__init__()
self.basepath = basepath
self.iformat = iformat
self.filenameFormat = filenameFormat
self.publish_hook = publish_hook
def publish(self, x):
if self.publish_hook is not None:
x= self.publish_hook(x)
frame = x["frame"]
frame = base64.b64decode(frame.split("data:image/jpeg;base64,")[1])
frame = np.fromstring(frame, np.uint8)
frame = cv2.imdecode(frame, cv2.IMREAD_COLOR)
path = os.path.join(self.basepath, datetime.now().date().isoformat())
if not os.path.isdir(path):
logger.info("Creating {} \n".format(path))
os.mkdir(path)
cv2.imwrite("{path}.{iformat}".format(path=os.path.join(path, self.filenameFormat.format(**x)),
iformat=self.iformat), frame)
return True
def subscribe(self, hook):
super().subscribe(hook)
from edge_engine.streamio.datastream.datastreamwrapper import DataStreamWrapper
from pymongo import MongoClient
class MongoDataStreamOut(DataStreamWrapper):
def __init__(self, host, port, dbname, collection, keys, authsource,username=None,password=None, publish_hook=None):
super().__init__()
self.host = host
self.port = port
self.dbname = dbname
self.username = username
self.password = password
self.collection = collection
self.publish_hook = publish_hook
self.mongo = MongoClient(host=host,
port=int(port),username=self.username,password=self.password)
self.db = self.mongo[dbname]
self.keys = keys
self.authsource = authsource
def subscribe(self, hook=None):
pass
def publish(self, data):
if self.publish_hook is not None:
data = self.publish_hook(data)
fin_dat = {}
for k, v in data.items():
if k in self.keys:
fin_dat[k] = v
self.db[self.collection].insert(fin_dat)
import paho.mqtt.client as paho
from edge_engine.streamio.datastream.datastreamwrapper import DataStreamWrapper
from edge_engine.common.logsetup import logger
from uuid import uuid4
import traceback
class MQTT(DataStreamWrapper):
@staticmethod
def on_connect(client, userdata, flags, rc):
logger.info("Connection returned with result code:" + str(rc))
@staticmethod
def on_disconnect(client, userdata, rc):
logger.info("Disconnection returned result:" + str(rc))
@staticmethod
def on_subscribe(client, userdata, mid, granted_qos):
logger.debug("Subscribing MQTT {} {} {} {}".format(client, userdata, mid, granted_qos))
def on_message(self, client, userdata, msg):
logger.debug("Received message, topic:" + msg.topic + "payload:" + str(msg.payload))
if self.subscribe_hook is not None:
self.subscribe_hook(msg.payload.decode())
def __init__(self, broker, port, topic, qos=2, subscribe_hook=None, publish_hook=None):
super().__init__()
self.broker = broker
self.port = int(port)
self.topic = topic
self.client_name = "{}".format(uuid4())
self.client = paho.Client(self.client_name)
self.client.on_connect = self.on_connect
self.client.on_disconnect = self.on_disconnect
self.client.on_subscribe = self.on_subscribe
self.client.on_message = self.on_message
self.client.connect(host=self.broker, port=self.port)
self.subscribe_hook = subscribe_hook
self.publish_hook = publish_hook
self.qos = qos
def subscribe(self, hook=None):
if hook is not None:
self.subscribe_hook =hook
self.client.subscribe((self.topic, self.qos))
self.client.loop_forever()
def publish(self, data):
try:
if self.publish_hook is not None:
data = self.publish_hook(data)
self.client.publish(self.topic, data)
except Exception as e:
logger.error(e)
logger.error(traceback.format_exc())
from edge_engine.streamio.datastream.datastreamwrapper import DataStreamWrapper
import subprocess as sp
import cv2
class OPENCVOutputStream(DataStreamWrapper):
def __init__(self):
super().__init__()
def publish(self, x):
cv2.imshow('Dev Test', x['frame'])
key = cv2.waitKey(1)
from edge_engine.streamio.datastream.datastreamwrapper import DataStreamWrapper
import cv2
import base64
import numpy as np
import os
from edge_engine.common.logsetup import logger
from datetime import datetime
class VideoOutputStream(DataStreamWrapper):
def __init__(self, basepath, dims, filenameFormat="{deviceId}_{timestamp}", fps=30, publish_hook=None):
super().__init__()
self.basepath = basepath
self.dims = (int(dims[0]),int(dims[1]))
self.fps = float(fps)
self.filenameFormat = filenameFormat
self.publish_hook = publish_hook
self.four_cc = cv2.VideoWriter_fourcc(*'mp4v')
self.out = None
def publish(self, x):
if self.publish_hook is not None:
x = self.publish_hook(x)
if len(x["metric"]) > 0:
if self.out is None:
path = os.path.join(self.basepath, datetime.now().date().isoformat())
if not os.path.isdir(path):
logger.info("Creating {} \n".format(path))
os.mkdir(path)
self.out = cv2.VideoWriter("{}.mp4".format(os.path.join(path, self.filenameFormat.format(**x))),
self.four_cc, self.fps, self.dims)
frame = x["frame"]
frame = base64.b64decode(frame.split("data:image/jpeg;base64,")[1])
frame = np.fromstring(frame, np.uint8)
frame = cv2.imdecode(frame, cv2.IMREAD_COLOR)
self.out.write(frame)
else:
if self.out is not None:
self.out.release()
self.out = None
return True
def subscribe(self, hook):
super().subscribe(hook)
from edge_engine.common.logsetup import logger
class DataStreamProcessor:
def __init__(self, model, subsciber, publishers=list()):
self.model = model
self.subsciber = subsciber
self.publishers = publishers
logger.info("Setting up frame processor !!")
def processstream(self, msg):
print(msg)
def run_model(self):
self.subsciber.subscribe(hook=self.processstream)
from edge_engine.common.logsetup import logger
from edge_engine.common.config import DEVICE_ID
from uuid import uuid4
import traceback
class FrameProcessor:
def __init__(self, stream, model):
self.model = model
self.stream = stream
logger.info("Setting up frame processor !!")
def run_model(self):
while self.stream.stream.isOpened():
try:
logger.debug("Getting frame mask_model")
frame = self.stream.read()
logger.debug("Running mask_model")
data = {"frame": frame[0], "frameId":frame[1] , "deviceId": "{}".format(DEVICE_ID)}
self.model.predict(data)
logger.debug("publishing mask_model output")
except Exception as e:
logger.error(e)
logger.error(traceback.format_exc())
\ No newline at end of file
from edge_engine.streamio.videostream.fps import FPS
from edge_engine.streamio.videostream.nvgstreamer import NVGstreamer
from edge_engine.streamio.videostream.simplevideostream import SimpleVideoStream
from edge_engine.streamio.videostream.threadedvideostream import ThreadedVideoStream
from edge_engine.streamio.videostream.filevideostream import FileVideoStream
\ No newline at end of file
# import the necessary packages
from threading import Thread
import sys
import cv2
import time
# import the Queue class from Python 3
if sys.version_info >= (3, 0):
from queue import Queue
# otherwise, import the Queue class for Python 2.7
else:
from Queue import Queue
class FileVideoStream:
def __init__(self, stream_config, transform=None):
# initialize the file video stream along with the boolean
# used to indicate if the thread should be stopped or not
self.transform = transform
self.stream_config = stream_config
# initialize the queue used to store frames read from
# the video file
self.build_pipeline()
def start(self):
# start a thread to read frames from the file video stream
self.thread.start()
return self
def build_cv_obj(self):
self.stream = cv2.VideoCapture(self.stream_config["uri"])
self.stopped = False
def build_pipeline(self):
self.build_cv_obj()
if "queueSize" not in self.stream_config:
self.stream_config["queueSize"] = 128
self.Q = Queue(maxsize=int(self.stream_config["queueSize"]))
# intialize thread
self.thread = Thread(target=self.update, args=())
self.thread.daemon = True
def is_opened(self):
return self.stream.isOpened()
def update(self):
# keep looping infinitely
count = 0
while True:
# if the thread indicator variable is set, stop the
# thread
if self.stopped:
break
# otherwise, ensure the queue has room in it
if not self.Q.full():
# read the next frame from the file
(grabbed, frame) = self.stream.read()
# if the `grabbed` boolean is `False`, then we have
# reached the end of the video file
if grabbed is False or frame is None:
# self.stopped = True
count = 0
self.build_cv_obj()
continue
# if there are transforms to be done, might as well
# do them on producer thread before handing back to
# consumer thread. ie. Usually the producer is so far
# ahead of consumer that we have time to spare.
#
# Python is not parallel but the transform operations
# are usually OpenCV native so release the GIL.
#
# Really just trying to avoid spinning up additional
# native threads and overheads of additional
# producer/consumer queues since this one was generally
# idle grabbing frames.
if self.transform:
frame = self.transform(frame)
# add the frame to the queue
self.Q.put((frame, count))
count = count+1
else:
time.sleep(0.1) # Rest for 10ms, we have a full queue
self.stream.release()
def read(self):
# return next frame in the queue
return self.Q.get()
# Insufficient to have consumer use while(more()) which does
# not take into account if the producer has reached end of
# file stream.
def running(self):
return self.more() or not self.stopped
def more(self):
# return True if there are still frames in the queue. If stream is not stopped, try to wait a moment
tries = 0
while self.Q.qsize() == 0 and not self.stopped and tries < 5:
time.sleep(0.1)
tries += 1
return self.Q.qsize() > 0
def stop(self):
# indicate that the thread should be stopped
self.stopped = True
# wait until stream resources are released (producer thread might be still grabbing frame)
self.thread.join()
# import the necessary packages
import datetime
class FPS:
def __init__(self):
# store the start time, end time, and total number of frames
# that were examined between the start and end intervals
self._start = None
self._end = None
self._numFrames = 0
def start(self):
# start the timer
self._start = datetime.datetime.now()
return self
def stop(self):
# stop the timer
self._end = datetime.datetime.now()
def update(self):
# increment the total number of frames examined during the
# start and end intervals
self._numFrames += 1
def elapsed(self):
# return the total number of seconds between the start and
# end interval
return (self._end - self._start).total_seconds()
def fps(self):
# compute the (approximate) frames per second
return self._numFrames / self.elapsed()
import cv2
class NVGstreamer:
def __init__(self, buildconfig):
self.width = 480
self.height = 640
self.latency = 0
self.framerate = "30/1"
self.fformat = "BGRx"
self.BUILD_CONFIG = {
"width": self.width,
"height": self.height,
"latency": self.latency,
"framerate": self.framerate,
"format": self.fformat,
"gstreamer": True
}
self.BUILD_CONFIG.update(buildconfig)
def open_cam_rtsp(self):
gst_str = ('rtspsrc location={uri} latency={latency} ! '
'rtph264depay ! h264parse ! omxh264dec ! '
'nvvidconv ! videorate ! '
'video/x-raw, width=(int){width}, height=(int){height}, '
'format=(string){format}, framerate=(fraction){framerate} ! '
'videoconvert ! appsink').format(**self.BUILD_CONFIG)
print(gst_str)
return cv2.VideoCapture(gst_str, cv2.CAP_GSTREAMER)
def open_cam_usb(self):
# We want to set width and height here, otherwise we could just do:
# return cv2.VideoCapture(dev)
gst_str = ('v4l2src device=/dev/video{uri} ! '
'video/x-raw, width=(int){width}, height=(int){height}, '
'format=(string){format}, framerate=(fraction){framerate} ! '
'videoconvert ! appsink').format(**self.BUILD_CONFIG)
print(gst_str)
return cv2.VideoCapture(gst_str, cv2.CAP_GSTREAMER)
def open_cam_onboard(self):
# On versions of L4T prior to 28.1, add 'flip-method=2' into gst_str
gst_str = ('nvcamerasrc ! '
'video/x-raw(memory:NVMM), '
'width=(int)2592, height=(int)1458, '
'format=(string)I420 ! '
'nvvidconv ! videorate ! '
'video/x-raw, width=(int){width}, height=(int){height}, '
'format=(string){format}, framerate=(fraction){framerate} !'
'videoconvert ! appsink').format(**self.BUILD_CONFIG)
print(gst_str)
return cv2.VideoCapture(gst_str, cv2.CAP_GSTREAMER)
def custom_pipeline(self):
gst_str = "{customGstPipelineString}".format(**self.BUILD_CONFIG)
print(gst_str)
return cv2.VideoCapture(gst_str, cv2.CAP_GSTREAMER)
def build_pipeline(self):
if self.BUILD_CONFIG["gStreamer"]!=True:
if self.BUILD_CONFIG["sourceType"] == "usbcam":
self.cap = cv2.VideoCapture(int(self.BUILD_CONFIG["uri"]))
else:
self.cap = cv2.VideoCapture(self.BUILD_CONFIG["uri"])
elif self.BUILD_CONFIG["sourceType"] == "rtsp":
self.cap = self.open_cam_rtsp()
elif self.BUILD_CONFIG["sourceType"] == "usbcam":
self.cap = self.open_cam_usb()
elif self.BUILD_CONFIG["sourceType"] == "onboard":
self.cap = self.open_cam_onboard()
elif self.BUILD_CONFIG["sourceType"] == "customPipeline":
self.cap = self.custom_pipeline()
else:
raise ValueError("unimplemented source {}".format(self.BUILD_CONFIG["sourceType"]))
def get_stream(self):
return self.cap
from edge_engine.common.logsetup import logger
from edge_engine.streamio.videostream import NVGstreamer
class SimpleVideoStream:
def __init__(self, stream_config, name="SimpleVideoStream"):
self.stream_config = stream_config
self.build_pipeline()
(self.grabbed, self.frame) = self.stream.read()
self.name = name
def build_pipeline(self):
self.gstreamer = NVGstreamer(self.stream_config)
self.gstreamer.build_pipeline()
self.stream = self.gstreamer.get_stream()
def start(self):
logger.info("Starting video stream ")
if self.stream.isOpened():
self.grabbed, self.frame = self.stream.read()
if self.grabbed is False:
logger.error("Empty Frame !!!! ")
logger.error("Error opening Capture !!!! ")
self.build_pipeline()
return self
else:
logger.error("Error opening Capture !!!! ")
self.build_pipeline()
def is_opened(self):
return self.stream.isOpened()
def read(self):
# return the frame most recently read
if self.stream.isOpened():
self.grabbed, self.frame = self.stream.read()
if self.grabbed is False:
logger.error("Empty Frame !!!! ")
raise ValueError("Empty Frame !!!! ")
return self.frame
else:
logger.error("Error opening Capture !!!! ")
raise ValueError("Error opening Capture !!!! ")
def stop(self):
if self.stream.isOpened():
self.stream.release()
# import the necessary packages
from threading import Thread
import time
from edge_engine.streamio.videostream import NVGstreamer
from edge_engine.common.logsetup import logger
class ThreadedVideoStream:
def __init__(self, stream_config, name="ThreadedVideoStream"):
# initialize the video camera stream and read the first frame
# from the stream
self.stream_config = stream_config
self.build_pipeline()
# self.stream = stream
(self.grabbed, self.frame) = self.stream.read()
# initialize the thread name
self.name = name
# initialize the variable used to indicate if the thread should
# be stopped
self.stopped = False
def build_pipeline(self):
self.gstreamer = NVGstreamer(self.stream_config)
self.gstreamer.build_pipeline()
self.stream = self.gstreamer.get_stream()
def start(self):
# start the thread to read frames from the video stream
t = Thread(target=self.update, name=self.name, args=())
t.daemon = True
t.start()
return self
def update(self):
# keep looping infinitely until the thread is stopped
while True:
# if the thread indicator variable is set, stop the thread
if self.stopped:
return
# otherwise, read the next frame from the stream
(self.grabbed, self.frame) = self.stream.read()
if self.grabbed is False or self.frame is None:
logger.error("Empty Frame !!!! ")
logger.error("Error opening Capture !!!! ")
self.build_pipeline()
def read(self):
# return the frame most recently read
return self.frame
def stop(self):
# indicate that the thread should be stopped
self.stopped = True
time.sleep(0.2)
self.stream.release()
# Copyright 2019 KnowledgeLens pvt Ltd.
VERSION = '1.0.0.alpha'
import traceback
from datetime import datetime
from uuid import uuid1
from scripts.common.config import MONGO_DB_OBJ, APP_MONGO_COLLECTION
from edge_engine.common.logsetup import logger
import os
class MongoLogger:
def __init__(self):
self.camera_key = os.environ.get('app',None)
self.attendance_event_collection = MONGO_DB_OBJ[APP_MONGO_COLLECTION.get('eventLogCollection')]
self.camera_configuration = MONGO_DB_OBJ[APP_MONGO_COLLECTION.get('cameraConfigurationCollection')]
self.camera_mapping_json = self.get_all_cameras()
def get_all_cameras(self):
camera_mapping_json = self.camera_configuration.find({'decommissioned': False}, {"_id": 0})
camera_json = {}
for each in camera_mapping_json:
camera_json[each['cameraId']] = each['cameraName']
return camera_json
def insert_attendance_event_to_mongo(self, data):
try:
input_data = {
"eventId": str(uuid1()).split('-')[0],
"cameraId": data['deviceId'],
"cameraName": self.camera_mapping_json.get(data['deviceId'], "Thermal Camera"),
"timestamp": datetime.now().strftime("%b %d %Y %H:%M:%S"),
"frame": data['frame'],
"eventtype": "Intrusion Detection",
"bg_color": data["bg_color"],
"font_color": data["font_color"],
"intrusion_message": data["message"],
"alert_sound": data["alert_sound"],
"logged_activity": data["activity"],
"app":self.camera_key}
logger.info("Pushing to Mongo..")
input_data["timestamp"] = datetime.now()
self.attendance_event_collection.insert(input_data)
except Exception as e:
logger.info(e)
logger.error(traceback.format_exc())
numpy~=1.18.5
pymongo~=3.10.1
opencv-python~=4.2.0.34
cachetools~=4.1.0
yolov5processor==0.0.3
expiringdict
\ No newline at end of file
from.cement_counter import CementBagCounter
\ No newline at end of file
This diff is collapsed.
import os
import sys
import json
from pymongo import MongoClient
MAIN_OS_VARIABLE = json.loads(os.environ.get('config'))
if MAIN_OS_VARIABLE is None:
sys.stderr.write("Configuration not found...")
sys.stderr.write("Exiting....")
sys.exit(1)
MONGO_URI = MAIN_OS_VARIABLE.get('MONGO_URI')
MONGO_SERVICE_DB = MAIN_OS_VARIABLE.get('MONGO_DB')
MONGO_SERVICE_COLL = MAIN_OS_VARIABLE.get('MONGO_COLL')
MONGO_DB_OBJ = MongoClient(MONGO_URI)[MONGO_SERVICE_DB]
HOST_CONFIG = MONGO_DB_OBJ[MONGO_SERVICE_COLL].find_one({'configId': 'hostConfig'}).get('config')
APP_MONGO_COLLECTION = MONGO_DB_OBJ[MONGO_SERVICE_COLL].find_one({'configId': 'appMongoConfig'}).get('config')
JANUS_CONFIG = MONGO_DB_OBJ[MONGO_SERVICE_COLL].find_one({'configId': 'janusConfig'}).get('config')
class JanusDeploymentConstants:
JANUS_DEPLOYMENT_COLLECTION = "janusDeploymentConfigurations"
DEPLOYMENT_ID = 'deploymentId'
EXTRA_FIELDS_KEY = 'extra_fields'
LINE_COORDINATES = ['x1', 'y1', 'x2', 'y2']
COUNT_BAGS_FLAG = 'count_bags'
ALIGNMENT_KEY = 'alignment'
VERTICAL = 'vertical'
HORIZONTAL = 'horizontal'
MODEL_KEY = 'model'
class CameraConstants:
videortpmap="VP8/90000"
videopt=96
threads=3
gStreamer = False
eventType = 'deploy'
created_by = 'user_6501'
event_status = 'pending'
deploymentTypeCreate = 'upgrade_and_deploy'
deploymentTypeRemove = 'remove'
pipeline_internal = {}
pipeline_category = "ai"
thread = 1
job_id = "pipeline_129"
deployment_key = 'deploymentId'
pipeline_deployment_type = 'docker'
docker_deployment_type = 'single'
command_eventtype = 'command'
command_type = 'docker'
restart_command = "restart_container"
stop_command = "stop_container"
start_command = "start_container"
from edge_engine.ai.model.modelwraper import ModelWrapper
import cv2
import base64
class LoopBackModel(ModelWrapper):
def __init__(self, pubs, path=None, ):
super().__init__(path)
self.mqtt = pubs.mqtt_pub
def _pre_process(self, x):
return x
def _post_process(self, x):
image = cv2.imencode('.jpg', x['frame'])[1].tostring()
image = 'data:image/jpeg;base64,' + base64.b64encode(image).decode("utf-8")
x['frame'] = image
self.mqtt.publish(x)
return x
def _predict(self, x):
return x
def predict(self, x):
return super().predict(x)
# import the necessary packages
from scipy.spatial import distance as dist
from collections import OrderedDict
import numpy as np
class CentroidTracker():
def __init__(self, maxDisappeared=50):
# initialize the next unique object ID along with two ordered
# dictionaries used to keep track of mapping a given object
# ID to its centroid and number of consecutive frames it has
# been marked as "disappeared", respectively
self.nextObjectID = 0
self.objects = OrderedDict()
self.disappeared = OrderedDict()
# store the number of maximum consecutive frames a given
# object is allowed to be marked as "disappeared" until we
# need to deregister the object from tracking
self.maxDisappeared = maxDisappeared
def register(self, centroid):
# when registering an object we use the next available object
# ID to store the centroid
self.objects[self.nextObjectID] = centroid
self.disappeared[self.nextObjectID] = 0
self.nextObjectID += 1
def deregister(self, objectID):
# to deregister an object ID we delete the object ID from
# both of our respective dictionaries
del self.objects[objectID]
del self.disappeared[objectID]
def update(self, rects):
# check to see if the list of input bounding box rectangles
# is empty
if len(rects) == 0:
# loop over any existing tracked objects and mark them
# as disappeared
for objectID in list(self.disappeared.keys()):
self.disappeared[objectID] += 1
# if we have reached a maximum number of consecutive
# frames where a given object has been marked as
# missing, deregister it
if self.disappeared[objectID] > self.maxDisappeared:
self.deregister(objectID)
# return early as there are no centroids or tracking info
# to update
return self.objects
# initialize an array of input centroids for the current frame
inputCentroids = np.zeros((len(rects), 2), dtype="int")
# loop over the bounding box rectangles
for (i, (startX, startY, endX, endY)) in enumerate(rects):
# use the bounding box coordinates to derive the centroid
cX = int((startX + endX) / 2.0)
cY = int((startY + endY) / 2.0)
inputCentroids[i] = (cX, cY)
# if we are currently not tracking any objects take the input
# centroids and register each of them
if len(self.objects) == 0:
for i in range(0, len(inputCentroids)):
self.register(inputCentroids[i])
# otherwise, are are currently tracking objects so we need to
# try to match the input centroids to existing object
# centroids
else:
# grab the set of object IDs and corresponding centroids
objectIDs = list(self.objects.keys())
objectCentroids = list(self.objects.values())
# compute the distance between each pair of object
# centroids and input centroids, respectively -- our
# goal will be to match an input centroid to an existing
# object centroid
D = dist.cdist(np.array(objectCentroids), inputCentroids)
# in order to perform this matching we must (1) find the
# smallest value in each row and then (2) sort the row
# indexes based on their minimum values so that the row
# with the smallest value as at the *front* of the index
# list
rows = D.min(axis=1).argsort()
# next, we perform a similar process on the columns by
# finding the smallest value in each column and then
# sorting using the previously computed row index list
cols = D.argmin(axis=1)[rows]
# in order to determine if we need to update, register,
# or deregister an object we need to keep track of which
# of the rows and column indexes we have already examined
usedRows = set()
usedCols = set()
# loop over the combination of the (row, column) index
# tuples
for (row, col) in zip(rows, cols):
# if we have already examined either the row or
# column value before, ignore it
# val
if row in usedRows or col in usedCols:
continue
# otherwise, grab the object ID for the current row,
# set its new centroid, and reset the disappeared
# counter
objectID = objectIDs[row]
self.objects[objectID] = inputCentroids[col]
self.disappeared[objectID] = 0
# indicate that we have examined each of the row and
# column indexes, respectively
usedRows.add(row)
usedCols.add(col)
# compute both the row and column index we have NOT yet
# examined
unusedRows = set(range(0, D.shape[0])).difference(usedRows)
unusedCols = set(range(0, D.shape[1])).difference(usedCols)
# in the event that the number of object centroids is
# equal or greater than the number of input centroids
# we need to check and see if some of these objects have
# potentially disappeared
if D.shape[0] >= D.shape[1]:
# loop over the unused row indexes
for row in unusedRows:
# grab the object ID for the corresponding row
# index and increment the disappeared counter
objectID = objectIDs[row]
self.disappeared[objectID] += 1
# check to see if the number of consecutive
# frames the object has been marked "disappeared"
# for warrants deregistering the object
if self.disappeared[objectID] > self.maxDisappeared:
self.deregister(objectID)
# otherwise, if the number of input centroids is greater
# than the number of existing object centroids we need to
# register each new input centroid as a trackable object
else:
for col in unusedCols:
self.register(inputCentroids[col])
# return the set of trackable objects
return self.objects
from scripts.common.constants import JanusDeploymentConstants
from scripts.common.config import MONGO_DB_OBJ, APP_MONGO_COLLECTION
def get_extra_fields(device_id):
_janus_deployment = MONGO_DB_OBJ[APP_MONGO_COLLECTION.get(JanusDeploymentConstants.JANUS_DEPLOYMENT_COLLECTION)]. \
find_one({JanusDeploymentConstants.DEPLOYMENT_ID: device_id}).get(JanusDeploymentConstants.EXTRA_FIELDS_KEY)
if _janus_deployment is None:
raise ValueError("Janus deployment configuration is not found/corrupted")
_key_dictionary = dict()
for each_field in _janus_deployment:
_key_dictionary[each_field['key']] = each_field['value']
return _key_dictionary
from edge_engine.common.logsetup import logger
import cv2
def draw_circles_on_frame(frame, point, radius=3, color=(255, 255, 255), thickness=1):
"""
draw circle on the objects
:param radius: radius of the circle
:param frame: frame to draw on
:param point: co-ordinate to draw on
:param color: color of the circle
:param thickness: thickness of the circle
:return: frame
"""
logger.debug("Drawing circle centroid on the frame")
return cv2.circle(frame, tuple(point), radius, color, thickness)
def resize_to_64_64(frame):
"""
resize the from
:param frame: frame
:return: frame
"""
logger.debug("Resizing the frame to 64 x 64")
return cv2.resize(frame, (64, 64))
\ No newline at end of file
import os
from datetime import datetime
from requests import post
from uuid import uuid1
from urllib.parse import urljoin
from edge_engine.common.logsetup import logger
from scripts.common.config import MONGO_DB_OBJ, APP_MONGO_COLLECTION
class MongoLogger:
def __init__(self):
self.attendance_event_collection = MONGO_DB_OBJ[APP_MONGO_COLLECTION.get('eventLogCollection')]
self.camera_configuration = MONGO_DB_OBJ[APP_MONGO_COLLECTION.get('cameraConfigurationCollection')]
self.camera_mapping_json = self.get_all_cameras()
def get_all_cameras(self):
camera_mapping_json = self.camera_configuration.find({'decommissioned': False}, {"_id": 0})
camera_json = {}
for each in camera_mapping_json:
camera_json[each['cameraId']] = each['cameraName']
return camera_json
# @staticmethod
# def update_count_api(**kwargs):
# asset_id = os.environ.get('asset_id')
# asset_hierarchy = os.environ.get('asset_hierarchy')
# count_update_endpoint = os.environ.get('count_update_endpoint')
# logger.debug("count_update_endpoint",count_update_endpoint)
# if asset_id is not None and count_update_endpoint is not None and asset_hierarchy is not None:
# response = post(url=count_update_endpoint,
# json=dict(asset_hierarchy=asset_hierarchy, count_increment=1, asset_id=asset_id,**kwargs), timeout=5)
# if response.status_code != 200:
# logger.warning(
# "Value not updated in cards!. Invalid response from Update Count API: {}".format(response.content))
# else:
# logger.warning("Either asset_id, asset_hierarchy or count_update_endpoint is not set!."
# " Not updating the cards API!")
def insert_attendance_event_to_mongo(self, data):
try:
input_data = {
"eventId": str(uuid1()).split('-')[0],
"cameraId": data['deviceId'],
"cameraName": self.camera_mapping_json.get(data['deviceId'], "Thermal Camera"),
"timestamp": datetime.now().strftime("%b %d %Y %H:%M:%S"),
"frame": data['frame'],
"eventtype": "Intrusion Detection",
"bg_color": data["bg_color"],
"font_color": data["font_color"],
"intrusion_message": data["message"],
"alert_sound": data["alert_sound"],
"logged_activity": data["activity"],
"app": "cement"}
logger.info("Pushing to Mongo..")
input_data["timestamp"] = datetime.now()
self.attendance_event_collection.insert(input_data)
# self.update_count_api(bag_type=data["bag_type"],extra_data={"mrp":data.get("mrp")})
except Exception as e:
logger.exception(e)
# def get_camera_details(self, camera_id):
# camera_details_json = self.camera_configuration.find_one({"cameraId": camera_id})
# return camera_details_json
import traceback
from datetime import datetime
from uuid import uuid1
from scripts.common.config import MONGO_DB_OBJ, APP_MONGO_COLLECTION
from edge_engine.common.logsetup import logger
import os
class MongoLogger:
def __init__(self):
self.camera_key = os.environ.get('app',None)
self.attendance_event_collection = MONGO_DB_OBJ[APP_MONGO_COLLECTION.get('eventLogCollection')]
self.camera_configuration = MONGO_DB_OBJ[APP_MONGO_COLLECTION.get('cameraConfigurationCollection')]
self.camera_mapping_json = self.get_all_cameras()
def get_all_cameras(self):
camera_mapping_json = self.camera_configuration.find({'decommissioned': False}, {"_id": 0})
camera_json = {}
for each in camera_mapping_json:
camera_json[each['cameraId']] = each['cameraName']
return camera_json
def insert_attendance_event_to_mongo(self, data):
try:
input_data = {
"eventId": str(uuid1()).split('-')[0],
"cameraId": data['deviceId'],
"cameraName": self.camera_mapping_json.get(data['deviceId'], "Thermal Camera"),
"timestamp": datetime.now().strftime("%b %d %Y %H:%M:%S"),
"frame": data['frame'],
"eventtype": "Intrusion Detection",
"bg_color": data["bg_color"],
"font_color": data["font_color"],
"intrusion_message": data["message"],
"alert_sound": data["alert_sound"],
"logged_activity": data["activity"],
"app":self.camera_key}
logger.info("Pushing to Mongo..")
input_data["timestamp"] = datetime.now()
self.attendance_event_collection.insert(input_data)
except Exception as e:
logger.info(e)
logger.error(traceback.format_exc())
from os import environ
environ["config"] = '{"MONGO_URI": "mongodb://admin:iLens!8989@192.168.0.220:21017", "MONGO_DATABASE": "ilens_wps", ' \
'"MONGO_DB": "ilens_wps","MONGO_COLLECTION": "janusDeployment", "MONGO_KEY": "deploymentId", ' \
'"MONGO_VALUE": "1b180a0e", "MONGO_SERVICE_COLL": "serviceConfiguration", "MONGO_COLL": ' \
'"serviceConfiguration" } '
import unittest
from edge_engine.edge_processor import Pubs
from edge_engine.common.config import EDGE_CONFIG
from scripts.cement_counter import CementBagCounter
class TestCementBagCounter(unittest.TestCase):
def test__pre_process(self):
self.assertEqual(CementBagCounter(config=EDGE_CONFIG, model_config=EDGE_CONFIG["modelConfig"], pubs=Pubs(),
device_id=EDGE_CONFIG['deviceId'])._pre_process("5"), '5')
Markdown is supported
0% or
You are about to add 0 people to the discussion. Proceed with caution.
Finish editing this message first!
Please register or to comment