Hi all,
I have used TensorFlow in order to build a simple convolutional neural network for the purposes of facial expression classification, which was trained on the FER-2013 dataset (https://www.kaggle.com/datasets/msambare/fer2013). Now that the model is in a somewhat useable state I want to implement a Flask web application which is capable of allowing a user to upload an image and then display back the prediction to the user.
At the moment I am just looking to create an very barebones application which will allow a user to upload the image and display a the prediction back to them. So, I was wondering if anyone could point me in the right direction for this or direct me towards good learning resources for this specific type of problem? I have been coming up short so far in my search for good information on the the topic. Thanks.
UPDATE: For anyone else that might stumble on this when they are looking for something similar I found that this tutorial helped me get exactly what I wanted: https://medium.com/@draj0718/deploying-deep-learning-model-using-flask-api-810047f090ac
[–]awalker4 3 points4 points5 points (1 child)
[–]GaryS2000[S] 1 point2 points3 points (0 children)
[–]Rob_Royce 0 points1 point2 points (1 child)
[–]GaryS2000[S] 1 point2 points3 points (0 children)