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camera-trap-anomaly-detection
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Implementation for my bachelor thesis "Anomaly Detection in Camera Trap Images"

Árbore: a11917b7fb
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camera-trap-ano...
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Felix Kleinsteuber a11917b7fb local features + autoencoder %!s(int64=4) %!d(string=hai) anos
Cache_NoBackup d0c133cc7e began local feature approach %!s(int64=4) %!d(string=hai) anos
plots a11917b7fb local features + autoencoder %!s(int64=4) %!d(string=hai) anos
py a11917b7fb local features + autoencoder %!s(int64=4) %!d(string=hai) anos
session_scans 167726d971 session scan + results %!s(int64=4) %!d(string=hai) anos
.gitignore a11917b7fb local features + autoencoder %!s(int64=4) %!d(string=hai) anos
Kadaverbilder_leer.csv 27aa92b698 annotator %!s(int64=4) %!d(string=hai) anos
analyze_dataset.ipynb 167726d971 session scan + results %!s(int64=4) %!d(string=hai) anos
annotations.npy 27aa92b698 annotator %!s(int64=4) %!d(string=hai) anos
approach1a_basic_frame_differencing.ipynb 97be1c6157 background estimation %!s(int64=4) %!d(string=hai) anos
approach1b_histograms.ipynb d0c133cc7e began local feature approach %!s(int64=4) %!d(string=hai) anos
approach1b_results.npy fdf054dfe2 histogram approach %!s(int64=4) %!d(string=hai) anos
approach2_background_estimation.ipynb d0c133cc7e began local feature approach %!s(int64=4) %!d(string=hai) anos
approach2_results.npy 97be1c6157 background estimation %!s(int64=4) %!d(string=hai) anos
approach3_local_features.ipynb a11917b7fb local features + autoencoder %!s(int64=4) %!d(string=hai) anos
approach4_ae1.png a11917b7fb local features + autoencoder %!s(int64=4) %!d(string=hai) anos
approach4_ae2.png a11917b7fb local features + autoencoder %!s(int64=4) %!d(string=hai) anos
approach4_ae2_noise.png a11917b7fb local features + autoencoder %!s(int64=4) %!d(string=hai) anos
approach4_autoencoder.ipynb a11917b7fb local features + autoencoder %!s(int64=4) %!d(string=hai) anos
approach4_autoencoder2.ipynb a11917b7fb local features + autoencoder %!s(int64=4) %!d(string=hai) anos
check_csv.ipynb 27aa92b698 annotator %!s(int64=4) %!d(string=hai) anos
dataset_stats.npy 211141371e initial commit %!s(int64=4) %!d(string=hai) anos
exp1a_annotations.npy 2faf3966fd basic frame differencing notebook %!s(int64=4) %!d(string=hai) anos
experiments.ipynb 211141371e initial commit %!s(int64=4) %!d(string=hai) anos
frame_differencing.ipynb 2faf3966fd basic frame differencing notebook %!s(int64=4) %!d(string=hai) anos
get_image_exif.ipynb 211141371e initial commit %!s(int64=4) %!d(string=hai) anos
lapseDates_1.npy 211141371e initial commit %!s(int64=4) %!d(string=hai) anos
motionDates_1.npy 211141371e initial commit %!s(int64=4) %!d(string=hai) anos
resize_session.ipynb a11917b7fb local features + autoencoder %!s(int64=4) %!d(string=hai) anos
scan_sessions.ipynb 9d8148f751 frame differencing approaches (generally not successful) %!s(int64=4) %!d(string=hai) anos
scan_sessions.txt 167726d971 session scan + results %!s(int64=4) %!d(string=hai) anos
test_images.npy 27aa92b698 annotator %!s(int64=4) %!d(string=hai) anos
train_autoencoder.py a11917b7fb local features + autoencoder %!s(int64=4) %!d(string=hai) anos