Added links to index.ipynb

index.ipynb

@@ -15,42 +15,42 @@
     "## Approach 1: Lapse Frame Differencing\n",
     "**Note:** Before this approach can be used on a new session, lapse maps have to be generated for this session using *scan_sessions.ipynb*.\n",
     "\n",
-    " - *approach1a_basic_frame_differencing.ipynb*: Implementation.\n",
-    " - *approach1b_histograms.ipynb*: Discarded similar approach using histogram distribution to compare Lapse and Motion images.\n",
+    " - *[approach1a_basic_frame_differencing.ipynb](approach1a_basic_frame_differencing.ipynb)*: Implementation.\n",
+    " - *[approach1b_histograms.ipynb](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",
+    " - *[approach2_background_estimation.ipynb](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",
+    " - *[approach3_local_features.ipynb](approach3_local_features.ipynb)*: Visualizations and evaluation of single trainings.\n",
+    " - *[approach3_boxplot.ipynb](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",
+    " - *[train_bow.py](train_bow.py)*: Training of BOW model\n",
+    " - *[eval_bow.py](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",
+    " - *[approach4_autoencoder.ipynb](approach4_autoencoder.ipynb)*: Visualizations and evaluation of single trainings.\n",
+    " - *[approach4_boxplot.ipynb](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",
+    " - *[train_autoencoder.py](train_autoencoder.py)*: Training of autoencoder\n",
+    " - *[eval_autoencoder.py](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",
-    " - *generate_lapseless_session.ipynb*: Generate a session with artificial lapse data from a lapseless session (e.g., Fox_03 -> GFox_03)\n",
-    " - *quick_label.py*: Minimal quick labeling script using OpenCV\n",
-    " - *read_csv_annotations.ipynb*: Loads annotations from *observations.csv* and *media.csv*\n",
-    " - *resize_session.ipynb*: Session preprocessing (crop and resize images)\n",
-    " - *scan_sessions.ipynb*: Creates lapse maps (map between lapse images and their EXIF dates), statistics of inconsistencies in sessions\n",
+    " - *[analyze_dataset.ipynb](analyze_dataset.ipynb)*: Dataset statistics, check for duplicates\n",
+    " - *[analyze_labels.ipynb](analyze_labels.ipynb)*: Annotation statistics (number of normal/anomalous motion samples)\n",
+    " - *[check_csv.ipynb](check_csv.ipynb)*: Loads annotations from *Kadaverbilder_leer.csv*\n",
+    " - *[generate_lapseless_session.ipynb](generate_lapseless_session.ipynb)*: Generate a session with artificial lapse data from a lapseless session (e.g., Fox_03 -> GFox_03)\n",
+    " - *[quick_label.py](quick_label.py)*: Minimal quick labeling script using OpenCV\n",
+    " - *[read_csv_annotations.ipynb](read_csv_annotations.ipynb)*: Loads annotations from *observations.csv* and *media.csv*\n",
+    " - *[resize_session.ipynb](resize_session.ipynb)*: Session preprocessing (crop and resize images)\n",
+    " - *[scan_sessions.ipynb](scan_sessions.ipynb)*: Creates lapse maps (map between lapse images and their EXIF dates), statistics of inconsistencies in sessions\n",
     "\n",
     "## Early experiments\n",
-    " - *deprecated/experiments.ipynb*: Early experiments with lapse images and frame differencing"
+    " - *[deprecated/experiments.ipynb](deprecated/experiments.ipynb)*: Early experiments with lapse images and frame differencing"
    ]
   }
  ],