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"
#!/usr/bin/env python
import argparse
import inception
# Load model and categories at startup
model, synsets = inception.load_inception_model()
# Detect image with MXNet
image = inception.load_image('images/image1.jpg')
prob = inception.predict(image, model)
topN = inception.get_top_categories(prob, synsets)
#print(topN)
top1_message = inception.get_top1_message(topN)
print(top1_message)
def main():
parser = argparse.ArgumentParser()
parser.parse_args()
if __name__ == "__main__":
main()