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flower_images
flower_images
 
 
01_load_exported_data_and_visualize_pupillometry.ipynb
01_load_exported_data_and_visualize_pupillometry.ipynb
 
 
02_load_exported_surfaces_and_visualize_aggregate_heatmap.ipynb
02_load_exported_surfaces_and_visualize_aggregate_heatmap.ipynb
 
 
03_visualize_scan_path_on_surface.ipynb
03_visualize_scan_path_on_surface.ipynb
 
 
04_visualize_surface_positions_in_world_camera_pixel_space.ipynb
04_visualize_surface_positions_in_world_camera_pixel_space.ipynb
 
 
05_visualize_gaze_velocity.ipynb
05_visualize_gaze_velocity.ipynb
 
 
06_fixation_pupil_diameter.ipynb
06_fixation_pupil_diameter.ipynb
 
 
README.md
README.md
 
 
clustering.pdf
clustering.pdf
 
 
clutering.ipynb
clutering.ipynb
 
 
flower_labels.csv
flower_labels.csv
 
 

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In this project At firstI extract the feature of the images using tensorfelow library. In the second stepp I've used vgg16 for predicting the labels. In addition I've used K- means and DBSCAN and I found the proper k by drawing the graph for different k and find the best parameter. In csv file there are true label of the images; In flower image file there are the images of the flower.

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In this project we extract the feature of the images and cluster them using K-means and DBSCAN algorithm.

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