def callbackSee(client, userdata, message):
print "Topic="+message.topic
image = camera.takePicture()
awsUtils.copyLocalFileToS3(image)
print "Picture uploaded"
labels = RekognitionApi.detectLabels(reko, image)
RekognitionUtils.printLabelsInformation(labels)
faces = RekognitionApi.detectFaces(reko, image)
newImage, faceCounter = RekognitionUtils.generateOutputImage(image, faces)
faceMessage, labelMessage = RekognitionUtils.generateMessages(faceCounter, labels)
print "Face message: " + faceMessage
print "Label message: " + labelMessage
PollyApi.speak(polly, faceMessage)
PollyApi.speak(polly, labelMessage)
if message.payload == "tweet":
tweet.tweet(newImage, faceMessage)
print "Tweet sent"
def callbackRead(client, userdata, message):
print "Topic=" + message.topic
print "Message=" + message.payload
image = camera.takePicture()
awsUtils.copyLocalFileToS3(image)
print "Picture uploaded"
text = RekognitionApi.detectText(reko, image)
print text
if message.payload.startswith("read"):
PollyApi.speak(polly, text)
elif message.payload.startswith("translate"):
src_language_code = ComprehendApi.detectLanguage(comprehend, text)
dest_language = message.payload.split(' ')[1]
dest_language_code = language_info[dest_language]['code']
voice = language_info[dest_language]['voice']
print src_language_code, dest_language_code, voice
if src_language_code == 'en' or dest_language_code == 'en':
text = TranslateApi.translateText(translate, text,
src_language_code,
dest_language_code)
else:
text = TranslateApi.translateText(translate, text,
src_language_code, 'en')
text = TranslateApi.translateText(translate, text, 'en',
dest_language_code)
print text
PollyApi.speak(polly, text, voice=voice)
elif message.payload.startswith("language"):
language_code = ComprehendApi.detectLanguage(comprehend, text)
language = language_name[language_code]
print language_code, language
text = "I believe this is " + language
PollyApi.speak(polly, text)
else:
print "Wrong Command, Please Enter Again"
return
if message.payload.endswith("tweet"):
tweet.tweet(image, text)
print "Tweet sent"
def callbackSee(client, userdata, message):
print "Topic=" + message.topic
print "Message=" + message.payload
image = camera.takePicture()
if message.payload.startswith("mxnet"):
# Detect image with MXNet
mxnetimage = inception.load_image(image)
prob = inception.predict(mxnetimage, model)
topN = inception.get_top_categories(prob, synsets)
print topN
speech = inception.get_top1_message(topN)
print speech
PollyApi.speak(polly, speech)
if message.payload.endswith("tweet"):
tweet.tweet(image, speech)
print "Tweet sent"
elif message.payload.startswith("reko"):
# Detect image with Rekognition
awsUtils.copyLocalFileToS3(image)
print "Picture uploaded"
labels = RekognitionApi.detectLabels(reko, image)
RekognitionUtils.printLabelsInformation(labels)
faces = RekognitionApi.detectFaces(reko, image)
celebs = RekognitionApi.detectCelebrities(reko, image)
newImage, faceCounter = RekognitionUtils.generateOutputImage(
image, faces)
faceMessage, labelMessage = RekognitionUtils.generateMessages(
faceCounter, celebs, labels)
print "Face message: " + faceMessage
#print "Label message: " + labelMessage
PollyApi.speak(polly, faceMessage)
#PollyApi.speak(polly, labelMessage)
if message.payload.endswith("tweet"):
tweet.tweet(newImage, faceMessage)
print "Tweet sent"
else:
print "Wrong Command, Please Enter Again"
'Output : reko_<targetImage> (local file), displaying a box around the matched face'
)
print(' face information (stdout)\n')
if (len(sys.argv) != 5):
usage()
sys.exit()
imageBucket = str(sys.argv[1])
sourceImage = str(sys.argv[2])
targetImage = str(sys.argv[3])
copyFiles = str(sys.argv[4])
if (copyFiles == 'copy'):
awsUtils.copyLocalFileToS3(sourceImage, imageBucket)
awsUtils.copyLocalFileToS3(targetImage, imageBucket)
targetInfo = utils.openLocalImage(targetImage)
reko = api.connectToRekognitionService()
matchList = api.compareFaces(reko, imageBucket, sourceImage, targetImage)
faceCounter = 0
for match in matchList:
utils.printFaceMatchInformation(match)
face = utils.getFaceFromFaceMatch(match)
utils.drawLinesAroundFace(targetInfo, face)
utils.drawLegendForFace(targetInfo, face, faceCounter)
faceCounter = faceCounter + 1
utils.saveImage(targetImage, targetInfo)
'nocopy : don\'t copy the image to S3 (it\'s already there)\n')
print(
'Output : reko_<image> (local file), displaying a box around each detected face'
)
print(' labels & face information (stdout)\n')
if (len(sys.argv) != 4):
usage()
sys.exit()
imageBucket = str(sys.argv[1])
image = str(sys.argv[2])
if (str(sys.argv[3]) == 'copy'):
awsUtils.copyLocalFileToS3(image, imageBucket)
imageInfo = utils.openLocalImage(image)
reko = api.connectToRekognitionService()
polly = PollyApi.connectToPolly()
labels = api.detectLabels(reko,
imageBucket,
image,
maxLabels=10,
minConfidence=70.0)
utils.printLabelsInformation(labels)
faceList = api.detectFaces(reko, imageBucket, image)
faceCounter = 0