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Final.py
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Final.py
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import cv2
import time
import datetime
import ibm_boto3
from ibm_botocore.client import Config, ClientError
from ibmcloudant.cloudant_v1 import CloudantV1
from ibmcloudant import CouchDbSessionAuthenticator
from ibm_cloud_sdk_core.authenticators import BasicAuthenticator
import wiotp.sdk.device
# Constants for IBM COS values
COS_ENDPOINT = "https://manohar.s3.jp-tok.cloud-object-storage.appdomain.cloud" # Current list avaiable at https://control.cloud-object-storage.cloud.ibm.com/v2/endpoints
COS_API_KEY_ID = "67MBwu0H49L21goGQBII-SufzagQ-j-Lc-1xIRZOyqat" # eg "W00YixxxxxxxxxxMB-odB-2ySfTrFBIQQWanc--P3byk"
COS_INSTANCE_CRN = "crn:v1:bluemix:public:cloud-object-storage:global:a/94a9058de7634a75b86a721e2524a404:9eaeda1b-4ff4-4fa1-94a8-9917e79c2fc3::"
# Create resource
cos = ibm_boto3.resource("s3",
ibm_api_key_id=COS_API_KEY_ID,
ibm_service_instance_id=COS_INSTANCE_CRN,
config=Config(signature_version="oauth"),
endpoint_url=COS_ENDPOINT
)
authenticator = BasicAuthenticator('apikey-v2-2y8twpk3cni02ngsc297oqatoulogdt961768upuw79q', '43c3fef46c4ca6560b7359d05c4c3d57')
service = CloudantV1(authenticator=authenticator)
service.set_service_url('https://apikey-v2-2y8twpk3cni02ngsc297oqatoulogdt961768upuw79q:43c3fef46c4ca6560b7359d05c4c3d57@7b88ba8a-383b-49c5-ba00-9a03115de98a-bluemix.cloudantnosqldb.appdomain.cloud')
def myCommandCallback(cmd):
print("Command received: %s" % cmd.data)
myConfig = {
"identity": {
"orgId": "sn7dm1",
"typeId": "ESP32",
"deviceId": "1234599"
},
"auth": {
"token": "9390569334"
}
}
client = wiotp.sdk.device.DeviceClient(config=myConfig, logHandlers=None)
client.connect()
bucket = "manohar"
def multi_part_upload(bucket_name, item_name, file_path):
try:
print("Starting file transfer for {0} to bucket: {1}\n".format(item_name, bucket_name))
# set 5 MB chunks
part_size = 1024 * 1024 * 5
# set threadhold to 15 MB
file_threshold = 1024 * 1024 * 15
# set the transfer threshold and chunk size
transfer_config = ibm_boto3.s3.transfer.TransferConfig(
multipart_threshold=file_threshold,
multipart_chunksize=part_size
)
# the upload_fileobj method will automatically execute a multi-part upload
# in 5 MB chunks for all files over 15 MB
with open(file_path, "rb") as file_data:
cos.Object(bucket_name, item_name).upload_fileobj(
Fileobj=file_data,
Config=transfer_config
)
print("Transfer for {0} Complete!\n".format(item_name))
except ClientError as be:
print("CLIENT ERROR: {0}\n".format(be))
except Exception as e:
print("Unable to complete multi-part upload: {0}".format(e))
import numpy as np
import cv2
from clarifai_grpc.channel.clarifai_channel import ClarifaiChannel
from clarifai_grpc.grpc.api import service_pb2_grpc
stub = service_pb2_grpc.V2Stub(ClarifaiChannel.get_grpc_channel())
from clarifai_grpc.grpc.api import service_pb2, resources_pb2
from clarifai_grpc.grpc.api.status import status_code_pb2
# This is how you authenticate.
metadata = (('authorization', 'Key 3d106b4dd8784d8786a4adde81b87fa9'),)
cap = cv2.VideoCapture('worker.mp4')
if(cap.isOpened()==True):
print('File opened')
else:
print('File not found')
while(cap.isOpened()):
ret, frame = cap.read()
gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)
imS = cv2.resize(frame, (960, 540))
cv2.imwrite('ex.jpg',imS)
with open("ex.jpg", "rb") as f:
file_bytes = f.read()
# This is the model ID of a publicly available General model. You may use any other public or custom model ID.
request = service_pb2.PostModelOutputsRequest(
model_id='aaa03c23b3724a16a56b629203edc62c',
inputs=[resources_pb2.Input(data=resources_pb2.Data(image=resources_pb2.Image(base64=file_bytes))
)])
response = stub.PostModelOutputs(request, metadata=metadata)
if response.status.code != status_code_pb2.SUCCESS:
raise Exception("Request failed, status code: " + str(response.status.code))
print(response)
for concept in response.outputs[0].data.concepts:
print('%12s: %.2f' % (concept.name, concept.value))
if(concept.value>0.86):
print(concept.name)
if(concept.name == "safety"):
from ibm_watson import TextToSpeechV1
from ibm_cloud_sdk_core.authenticators import IAMAuthenticator
from playsound import playsound
authenticator = IAMAuthenticator('y4D8ClOFi_1fJU3ezHwn_If6lgsEg0C_1vL4JGsV9tgo')
text_to_speech = TextToSpeechV1(
authenticator=authenticator
)
text_to_speech.set_service_url('https://api.eu-gb.text-to-speech.watson.cloud.ibm.com/instances/40fb53ff-417c-4fc4-890e-d637562a3890')
with open('acess.mp3', 'wb') as audio_file:
audio_file.write(
text_to_speech.synthesize(
'you can enter.',
voice='en-US_AllisonV3Voice',
accept='audio/mp3'
).get_result().content)
playsound('acess.mp3')
else:
from ibm_watson import TextToSpeechV1
from ibm_cloud_sdk_core.authenticators import IAMAuthenticator
from playsound import playsound
authenticator = IAMAuthenticator('y4D8ClOFi_1fJU3ezHwn_If6lgsEg0C_1vL4JGsV9tgo')
text_to_speech = TextToSpeechV1(
authenticator=authenticator
)
text_to_speech.set_service_url('https://api.eu-gb.text-to-speech.watson.cloud.ibm.com/instances/40fb53ff-417c-4fc4-890e-d637562a3890')
with open('alert.mp3', 'wb') as audio_file:
audio_file.write(
text_to_speech.synthesize(
'access denied please keep helmet.',
voice='en-US_AllisonV3Voice',
accept='audio/mp3'
).get_result().content)
playsound('alert.mp3')
cv2.imshow('frame',imS)
#drawing rectangle boundries for the detected face
for(x,y,w,h) in faces:
print(x,y,w,h)
print(type(x+h/2))
detect = True
cv2.circle(frame, (int(x+h/2),int(y+w/2)), int(w/2), (0,0,255), 2)
cv2.imshow('Face detection', frame)
picname=datetime.datetime.now().strftime("%y-%m-%d-%H-%M")
cv2.imwrite(picname+".jpg",frame)
multi_part_upload(bucket, picname+'.jpg', picname+'.jpg')
json_document={"link":COS_ENDPOINT+'/'+bucket+'/'+picname+'.jpg'}
response = service.post_document(db="access", document=json_document).get_result()
print(response)
myData={'Face_detect': detect}
client.publishEvent(eventId="status", msgFormat="json", data=myData, qos=0, onPublish=None)
print("Data published to IBM IoT platfrom: ",myData)
client.commandCallback = myCommandCallback
time.sleep(2)
if cv2.waitKey(1) & 0xFF == ord('q'):
break
cap.release()
cv2.destroyAllWindows()