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

Felix Kleinsteuber 755dcfd443 Added readme 2 年之前
deprecated 4e25520634 docs 2 年之前
imgs 75b01eda47 updates 3 年之前
plots 4e25520634 docs 2 年之前
py 4e25520634 docs 2 年之前
session_scans 007915bc0a more results 3 年之前
visualization d3e69b0984 updated plots 2 年之前
.gitignore d7d2362438 more eval 3 年之前
Kadaverbilder_leer.csv 27aa92b698 annotator 3 年之前
README.md 755dcfd443 Added readme 2 年之前
analyze_dataset.ipynb 3bcf9949c8 documentation and ordering 2 年之前
analyze_labels.ipynb 3bcf9949c8 documentation and ordering 2 年之前
approach1a_basic_frame_differencing.ipynb 3de5549007 updates 3 年之前
approach1b_histograms.ipynb f3916a4103 plots 3 年之前
approach2_background_estimation.ipynb 3de5549007 updates 3 年之前
approach3_boxplot.ipynb d3e69b0984 updated plots 2 年之前
approach3_local_features.ipynb 75b01eda47 updates 3 年之前
approach4_autoencoder.ipynb d3e69b0984 updated plots 2 年之前
approach4_boxplot.ipynb 4e25520634 docs 2 年之前
check_csv.ipynb 3bcf9949c8 documentation and ordering 2 年之前
csv_test_images.npy 3bcf9949c8 documentation and ordering 2 年之前
dataset_stats.npy 211141371e initial commit 3 年之前
eval_autoencoder.py d7d2362438 more eval 3 年之前
eval_bow.py d7d2362438 more eval 3 年之前
generate_lapseless_session.ipynb 4e25520634 docs 2 年之前
get_image_exif.ipynb 211141371e initial commit 3 年之前
index.ipynb 4e25520634 docs 2 年之前
lapseDates_1.npy 211141371e initial commit 3 年之前
motionDates_1.npy 211141371e initial commit 3 年之前
quick_label.py 007915bc0a more results 3 年之前
read_csv_annotations.ipynb 007915bc0a more results 3 年之前
resize_session.ipynb 75b01eda47 updates 3 年之前
scan_sessions.ipynb 9d8148f751 frame differencing approaches (generally not successful) 3 年之前
scan_sessions.txt 167726d971 session scan + results 3 年之前
train_autoencoder.py 75b01eda47 updates 3 年之前
train_bow.py d7d2362438 more eval 3 年之前

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.