arnaucube/objectImageIdentifierAI

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arnaucode 2a5b455280 initiating the smartphone app

2017-10-29 20:16:07 +01:00

training neural network ok, needs too much ram. Started implementation of the server

2017-10-28 12:10:28 +02:00

imagesToDataset

training neural network ok, needs too much ram. Started implementation of the server

2017-10-28 12:10:28 +02:00

training neural network ok, needs too much ram. Started implementation of the server

2017-10-28 12:10:28 +02:00

serverPredictor

training neural network ok, needs too much ram. Started implementation of the server

2017-10-28 12:10:28 +02:00

initiating the smartphone app

2017-10-29 20:16:07 +01:00

.gitignore

training neural network ok, needs too much ram. Started implementation of the server

2017-10-28 12:10:28 +02:00

hotdognohotdog.png

initiating the smartphone app

2017-10-29 20:16:07 +01:00

LICENSE

Initial commit

2017-10-28 12:07:09 +02:00

README.md

initiating the smartphone app

2017-10-29 20:16:07 +01:00

README.md

objectImageIdentifierAI

imagesToDataset
- From two directories ('object' and 'noobject'), gets all the images inside the directories and generates the dataset
nnTrain
- From the dataset file generated in the previous step, train the Neural Network
serverPredictor
- Runs a server API, that with the Neural Network classifies the incoming images
smartphoneApp
- Take photo and upload to the server, to get the response (object or no object)

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