Python-Fake-Image-Using-ResNet50-Transfer-Learning-and-ELA

How to detect Fake images using ResNet50 (Transfer Learning) and ELA.

MODEL: RESNET50_WIDE

FEATURE ENGINEERING: error-level analysis (ELA)

HOW TO RUN: INFERENCE FROM TRAINED WEIGHT: python3 test.py -i EX: python3 test.py -i ./DATASET4/real/sandyB_real_64.jpg

TRAINING: python3 train.py

PREPROCESSING: python3 elm_prep_train_test_split.py

PLOTTING: python3 plot.py

Name		Name	Last commit message	Last commit date
Latest commit History 3 Commits
LICENSE		LICENSE
README.md		README.md
elm_prep_train_test_split.py		elm_prep_train_test_split.py
plot.py		plot.py
test.py		test.py
train.py		train.py

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