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Convolutional Neural Networks to predict the aesthetic and technical quality of images.

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Hello, thanks for this, great job! I installed the dockerfile and out of the box I tried your script for the sample images you provide in the docs (the ones...

Added a dockerfile which exposed the model via rest api. flask server will run on port 5005 URL - POST /query/{model} - model can be aesthetics or technical Parameters -...

Hi! You guys wrote a blog about [ranking hotel rooms](https://devblogs.nvidia.com/deep-learning-hotel-aesthetics-photos/) training this model with some domain pictures. Did you share the trained model? I have similar problem and I would...

I've been working on a [fork of a fork](https://github.com/welcotravel/image-quality-assessment) (with an http server) locally and I'm seeing some warning messages ``` WARNING:tensorflow:multiprocessing can interact badly with TensorFlow, causing nondeterministic deadlocks....

I want to mimic your model but using TID2013 dataset. I have built the model but do not know how to train the model. I use `ImageDataGenertor` of `Keras` If...

Using the settings in the current version of 'get_label.py' (i.e., 'samplespace' is [0:1:10] and algorithm='CG'), then if we input 'mean=7', the return distribution is wrong (i.e., with all the probabilities...

Although I am trying to predict png file, the error shows jpg file not found. Any idea? ![image_test](https://user-images.githubusercontent.com/25489992/75102251-ce4abe80-55e8-11ea-9784-e751280eb8c7.PNG) Thanks in advance

standard_init_linux.go:211: exec user process caused "no such file or directory"

I resolved the following warning in the TensorFlow Serving sample client: WARNING:tensorflow: The TensorFlow contrib module will not be included in TensorFlow 2.0. For more information, please see: * https://github.com/tensorflow/community/blob/master/rfcs/20180907-contrib-sunset.md...

The problem I am trying to solve is find "Text Readability of an Image" I am using Tesseract to extract text from images, but I am not able to understand...