How to Build Mobile Application for Image Recognition?Better approach for handwriting recognition?In image classification/recognition how are images coded?Trajectory data mining and pattern recognition using ORB-SLAM and KNN-DTWParking Prediction based on Mobile applicationTraining data set for food image recognitionMachine Learning & Image Recognition: How to start?Identify objects (bus) on the map based on coordinates (lat, lon)Maximum number of classes YOLO net can recognizeImage recognition of selfie imagesHow to deal with classification where all target classes are independent (keras & image recognition)
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How to Build Mobile Application for Image Recognition?
Better approach for handwriting recognition?In image classification/recognition how are images coded?Trajectory data mining and pattern recognition using ORB-SLAM and KNN-DTWParking Prediction based on Mobile applicationTraining data set for food image recognitionMachine Learning & Image Recognition: How to start?Identify objects (bus) on the map based on coordinates (lat, lon)Maximum number of classes YOLO net can recognizeImage recognition of selfie imagesHow to deal with classification where all target classes are independent (keras & image recognition)
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I want to write an application on (Android) phone for image recognition. The (Keras) model itself is written and trained on a desktop machine and works satisfactorily with standard images. However, I have no experience with app programing so I have no clue how to write an app itself which could utilize the model.
The purpose is to use the mobile camera for seeking the object; have a big button to shot an image; have the image classified and display the output label as text. No need for any sophisticated outlook. I can write programs in Python.
Is there any handy framework that could be used for this purpose?
machine-learning keras image-classification
$endgroup$
add a comment |
$begingroup$
I want to write an application on (Android) phone for image recognition. The (Keras) model itself is written and trained on a desktop machine and works satisfactorily with standard images. However, I have no experience with app programing so I have no clue how to write an app itself which could utilize the model.
The purpose is to use the mobile camera for seeking the object; have a big button to shot an image; have the image classified and display the output label as text. No need for any sophisticated outlook. I can write programs in Python.
Is there any handy framework that could be used for this purpose?
machine-learning keras image-classification
$endgroup$
add a comment |
$begingroup$
I want to write an application on (Android) phone for image recognition. The (Keras) model itself is written and trained on a desktop machine and works satisfactorily with standard images. However, I have no experience with app programing so I have no clue how to write an app itself which could utilize the model.
The purpose is to use the mobile camera for seeking the object; have a big button to shot an image; have the image classified and display the output label as text. No need for any sophisticated outlook. I can write programs in Python.
Is there any handy framework that could be used for this purpose?
machine-learning keras image-classification
$endgroup$
I want to write an application on (Android) phone for image recognition. The (Keras) model itself is written and trained on a desktop machine and works satisfactorily with standard images. However, I have no experience with app programing so I have no clue how to write an app itself which could utilize the model.
The purpose is to use the mobile camera for seeking the object; have a big button to shot an image; have the image classified and display the output label as text. No need for any sophisticated outlook. I can write programs in Python.
Is there any handy framework that could be used for this purpose?
machine-learning keras image-classification
machine-learning keras image-classification
asked Mar 20 at 13:08
FredrikFredrik
7515
7515
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I would advise you to use kivy for Python. It has an active community and there is also a book on this topic Practical Computer Vision Applications Using Deep Learning with CNNs With Detailed Examples in Python Using TensorFlow and Kivy. Kivy is very easy for newbies and you can develop multiplatform applications (Windows, iOs, Android).
New contributor
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1 Answer
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active
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1 Answer
1
active
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active
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$begingroup$
I would advise you to use kivy for Python. It has an active community and there is also a book on this topic Practical Computer Vision Applications Using Deep Learning with CNNs With Detailed Examples in Python Using TensorFlow and Kivy. Kivy is very easy for newbies and you can develop multiplatform applications (Windows, iOs, Android).
New contributor
$endgroup$
add a comment |
$begingroup$
I would advise you to use kivy for Python. It has an active community and there is also a book on this topic Practical Computer Vision Applications Using Deep Learning with CNNs With Detailed Examples in Python Using TensorFlow and Kivy. Kivy is very easy for newbies and you can develop multiplatform applications (Windows, iOs, Android).
New contributor
$endgroup$
add a comment |
$begingroup$
I would advise you to use kivy for Python. It has an active community and there is also a book on this topic Practical Computer Vision Applications Using Deep Learning with CNNs With Detailed Examples in Python Using TensorFlow and Kivy. Kivy is very easy for newbies and you can develop multiplatform applications (Windows, iOs, Android).
New contributor
$endgroup$
I would advise you to use kivy for Python. It has an active community and there is also a book on this topic Practical Computer Vision Applications Using Deep Learning with CNNs With Detailed Examples in Python Using TensorFlow and Kivy. Kivy is very easy for newbies and you can develop multiplatform applications (Windows, iOs, Android).
New contributor
New contributor
answered Mar 20 at 13:18
MachineLearnerMachineLearner
32410
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New contributor
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