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Implementation for my bachelor thesis "Anomaly Detection in Camera Trap Images"

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Felix Kleinsteuber 755dcfd443 Added readme il y a 2 ans
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.gitignore d7d2362438 more eval il y a 3 ans
Kadaverbilder_leer.csv 27aa92b698 annotator il y a 3 ans
README.md 755dcfd443 Added readme il y a 2 ans
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approach1a_basic_frame_differencing.ipynb 3de5549007 updates il y a 3 ans
approach1b_histograms.ipynb f3916a4103 plots il y a 3 ans
approach2_background_estimation.ipynb 3de5549007 updates il y a 3 ans
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approach3_local_features.ipynb 75b01eda47 updates il y a 3 ans
approach4_autoencoder.ipynb d3e69b0984 updated plots il y a 2 ans
approach4_boxplot.ipynb 4e25520634 docs il y a 2 ans
check_csv.ipynb 3bcf9949c8 documentation and ordering il y a 2 ans
csv_test_images.npy 3bcf9949c8 documentation and ordering il y a 2 ans
dataset_stats.npy 211141371e initial commit il y a 3 ans
eval_autoencoder.py d7d2362438 more eval il y a 3 ans
eval_bow.py d7d2362438 more eval il y a 3 ans
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lapseDates_1.npy 211141371e initial commit il y a 3 ans
motionDates_1.npy 211141371e initial commit il y a 3 ans
quick_label.py 007915bc0a more results il y a 3 ans
read_csv_annotations.ipynb 007915bc0a more results il y a 3 ans
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scan_sessions.ipynb 9d8148f751 frame differencing approaches (generally not successful) il y a 3 ans
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train_bow.py d7d2362438 more eval il y a 3 ans

README.md

Anomaly Detection in Camera Trap Images

This is the source code for my bachelor thesis with the subject "Anomaly Detection in Camera Trap Images" at the Computer Vision Group, Friedrich-Schiller-Universität Jena.

An overview of all files can be found in index.ipynb.