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

Felix Kleinsteuber 88e5ee155e new results %!s(int64=3) %!d(string=hai) anos
Cache_NoBackup d0c133cc7e began local feature approach %!s(int64=3) %!d(string=hai) anos
plots 88e5ee155e new results %!s(int64=3) %!d(string=hai) anos
py 88e5ee155e new results %!s(int64=3) %!d(string=hai) anos
session_scans 167726d971 session scan + results %!s(int64=3) %!d(string=hai) anos
.gitignore a11917b7fb local features + autoencoder %!s(int64=3) %!d(string=hai) anos
Kadaverbilder_leer.csv 27aa92b698 annotator %!s(int64=3) %!d(string=hai) anos
analyze_dataset.ipynb 167726d971 session scan + results %!s(int64=3) %!d(string=hai) anos
annotations.npy 27aa92b698 annotator %!s(int64=3) %!d(string=hai) anos
approach1a_basic_frame_differencing.ipynb 040729b177 quick labeling, more plots %!s(int64=3) %!d(string=hai) anos
approach1b_histograms.ipynb f3916a4103 plots %!s(int64=3) %!d(string=hai) anos
approach1b_results.npy fdf054dfe2 histogram approach %!s(int64=3) %!d(string=hai) anos
approach2_background_estimation.ipynb 040729b177 quick labeling, more plots %!s(int64=3) %!d(string=hai) anos
approach3_local_features.ipynb 88e5ee155e new results %!s(int64=3) %!d(string=hai) anos
approach4_ae1.png a11917b7fb local features + autoencoder %!s(int64=3) %!d(string=hai) anos
approach4_ae2.png a11917b7fb local features + autoencoder %!s(int64=3) %!d(string=hai) anos
approach4_ae2_noise.png a11917b7fb local features + autoencoder %!s(int64=3) %!d(string=hai) anos
approach4_autoencoder.ipynb 88e5ee155e new results %!s(int64=3) %!d(string=hai) anos
check_csv.ipynb 5e5c0018c7 autoencoder - proper KDE %!s(int64=3) %!d(string=hai) anos
dataset_stats.npy 211141371e initial commit %!s(int64=3) %!d(string=hai) anos
day_vs_night.ipynb f3916a4103 plots %!s(int64=3) %!d(string=hai) anos
eval_autoencoder.py 5e5c0018c7 autoencoder - proper KDE %!s(int64=3) %!d(string=hai) anos
eval_bow.py 040729b177 quick labeling, more plots %!s(int64=3) %!d(string=hai) anos
exp1a_annotations.npy 2faf3966fd basic frame differencing notebook %!s(int64=3) %!d(string=hai) anos
experiments.ipynb 211141371e initial commit %!s(int64=3) %!d(string=hai) anos
frame_differencing.ipynb 2faf3966fd basic frame differencing notebook %!s(int64=3) %!d(string=hai) anos
get_image_exif.ipynb 211141371e initial commit %!s(int64=3) %!d(string=hai) anos
lapseDates_1.npy 211141371e initial commit %!s(int64=3) %!d(string=hai) anos
motionDates_1.npy 211141371e initial commit %!s(int64=3) %!d(string=hai) anos
quick_label.py 040729b177 quick labeling, more plots %!s(int64=3) %!d(string=hai) anos
resize_session.ipynb 6686087b7c BOW train script %!s(int64=3) %!d(string=hai) anos
results.ipynb 88e5ee155e new results %!s(int64=3) %!d(string=hai) anos
scan_sessions.ipynb 9d8148f751 frame differencing approaches (generally not successful) %!s(int64=3) %!d(string=hai) anos
scan_sessions.txt 167726d971 session scan + results %!s(int64=3) %!d(string=hai) anos
train_autoencoder.py 3a72516fae BOW experiments, autoencoder KDE %!s(int64=3) %!d(string=hai) anos
train_bow.py 040729b177 quick labeling, more plots %!s(int64=3) %!d(string=hai) anos