arnaucube
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objectImageIdentifierAI
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arnaucode 26f61c02f5 deploy.sh to run the server in one script 7 years ago
cropObjects training neural network ok, needs too much ram. Started implementation of the server 7 years ago
imagesToDataset deploy.sh to run the server in one script 7 years ago
nnTrain deploy.sh to run the server in one script 7 years ago
serverPredictor deploy.sh to run the server in one script 7 years ago
smartphoneApp initiating the smartphone app 7 years ago
.gitignore training neural network ok, needs too much ram. Started implementation of the server 7 years ago
LICENSE Initial commit 7 years ago
README.md initiating the smartphone app 7 years ago
deploy.sh deploy.sh to run the server in one script 7 years ago
hotdognohotdog.png initiating the smartphone app 7 years ago

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)

hotdognohotdog