fluque1995 / tfm-anomaly-detection

Master's thesis in Data Sciences. Comparison and proposal of enhancement for "Real-world anomaly detection in surveillance videos"
GNU General Public License v3.0
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Problem with pretrained models #4

Open alishsuper opened 3 years ago

alishsuper commented 3 years ago

Hello!

I wanted to check your results so I've tried to use your pretrained models. But when I want to extract temporal features, I get this error. Thanks in advance! image

umarkhancodes commented 3 years ago

image I also face error while loading .h5 pretrained model in extract_temporal_features.py

Ak670676 commented 2 years ago

Hello, I face same problem, with pre trained model that is

ValueError: Input 0 is incompatible with layer model_1: expected shape=(None, 299, 299, 3), found shape=(None, 229, 229, 3)