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View Code? Open in Web Editor NEWA Flutter app to enhance a low light image to an enhanced image.
Home Page: https://tfhub.dev/sayannath/lite-model/zero-dce/1
License: Apache License 2.0
A Flutter app to enhance a low light image to an enhanced image.
Home Page: https://tfhub.dev/sayannath/lite-model/zero-dce/1
License: Apache License 2.0
Recommended Plugin is tflite_flutter.
This is the setup that needs to be done
Branch to be worked on feature/tflite-setup
The app will have a basic UI and UX.
These things will be there in the initial part of the app.
Branch to be worked on feature/ui
Take reference from here
The content of the README.
Plugin to be used: camera
Branch to be worked on feature/camera-service
Link of the Colab Notebook here.
TFLITE_MODEL_FILE = 'zero-dce.tflite'
interpreter = tf.lite.Interpreter(model_path = TFLITE_MODEL_FILE)
input_details = interpreter.get_input_details()
output_details = interpreter.get_output_details()
print("Input Shape:", input_details[0]['shape'])
print("Input Type:", input_details[0]['dtype'])
print("Output Shape:", output_details[0]['shape'])
print("Output Type:", output_details[0]['dtype'])
Output
Input Shape: [ 1 400 600 3]
Input Type: <class 'numpy.float32'>
Output Shape: [ 1 400 600 3]
Output Type: <class 'numpy.float32'>
The TensorFlow Lite model expects an image of dimension 400x600 where 600 is the image height and 400 is the image width. An image array will be given as an output, which is also of the same dimension.
Branch to be worked on feature/tflite-integrate
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