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    "# Anomaly Detection in Camera Trap Images - Implementation\n",
    "This is an index file for the implementation part of my bachelor thesis 'Anomaly Detection in Camera Trap Images'."
   ]
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    "## Approach 1: Lapse Frame Differencing\n",
    " - *approach1a_basic_frame_differencing.ipynb*: Implementation.\n",
    " - *approach1b_histograms.ipynb*: Discarded similar approach using histogram distribution to compare Lapse and Motion images.\n",
    "\n",
    "## Approach 2: Median Frame Differencing\n",
    " - *approach2_background_estimation.ipynb*: Implementation.\n",
    "\n",
    "## Approach 3: Bag of Visual Words\n",
    "### Notebooks\n",
    " - *approach3_local_features.ipynb*: Visualizations and evaluation of single trainings.\n",
    " - *approach3_boxplot.ipynb*: Boxplot to compare multiple vocabularies generated using random prototypes.\n",
    "\n",
    "### Scripts\n",
    " - *train_bow.py*: Training of BOW model\n",
    " - *eval_bow.py*: Evaluation of BOW model\n",
    "\n",
    "## Approach 4: Autoencoder\n",
    "### Notebooks\n",
    " - *approach4_autoencoder.ipynb*: Visualizations and evaluation of single trainings.\n",
    " - *approach4_boxplot.ipynb*: Boxplot to compare different trainings.\n",
    "\n",
    "### Scripts\n",
    " - *train_autoencoder.py*: Training of autoencoder\n",
    " - *eval_autoencoder.py*: Evaluation of trained autoencoder\n",
    "\n",
    "## Helpers\n",
    " - *analyze_dataset.ipynb*: Dataset statistics, check for duplicates\n",
    " - *analyze_labels.ipynb*: Annotation statistics (number of normal/anomalous motion samples)\n",
    " - *check_csv.ipynb*: Loads annotations from *Kadaverbilder_leer.csv*\n",
    "\n",
    "## Early experiments\n",
    " - *deprecated/experiments.ipynb*: Early experiments with lapse images and frame differencing"
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