224*224 is not a good idea

To be honest, the input should be a vector extracted from the last layer of inceptionv3.

Only in this way, the model can get random sized image information right.

**at the current version, even a woman that not porn, will be tagged as a porn picture with 0.9 confidence...**


Start by reviewing the current 224x224 image-input handling and the InceptionV3 integration. Reproduce the reported false-positive example, then determine whether the model accepts feature vectors from the last InceptionV3 layer and handles randomly sized images without incorrectly assigning high porn confidence.

Written by the indexing model from the issue text.