Scripts and utlities that go with a deployment of Caffe as a cat detector
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Jetson cat chasing: Turn on the lawn sprinkler when a neural net sees a cat.
A collection of utilities useful for working with segmented images and the fcn variant of Caffe. See my page for a description of the system.
photon: cat_sprinkler.cpp Firmware for the photon
python: count_pascal_mat.py Counts classified pixels in a Pascal Context .mat file count_pascal.py Coutns classified pixels in a Pascal Context .png file get_png_palette.py Gets the pallete from a .png file last10.py Show the last 10 shots from the camera at 1/2 res mask_out.py Masks out and colorizes the classified pixels in an image mat2png.py Convert a Pascal Context .mat file to .png movie.py Spin through a bunch of images on the command line png2mat.py Convert a Pascal Context .png file to .mat resize.py Resize an image seg_fix.py Demo for how to change the segmentation in a file show_seg.py Overlays displays a base image with the semented pixels yesno.py Sort a bunch of images into "yes" and "no" buckets zip_dir.py Zip two directories together zip_neg.py Zip a directory with a single file
scripts: cats.sh Simple script to run fcn segmentations on files coming in from FTP dclean.sh Monitor an FTP directory tcats.sh The one I use spon Disable the sprinkler spoff Enable the sprinkler sprinkle.sh Start the sprinkler sprinkle_off.sh Stop the sprinkler
src: bright.cpp Brighten images cropper.cpp Crop images to 227 x 227 pixels example.cpp Simple GPU example used to debug opencv builds extract_fg.cpp Foreground extraction utility snapshots.cpp Convert a movie to single frames
fcn: Modified files from the Shellhammer github infer.py Saves a file in addition to processing a file batch_infer.py Processes a bunch of files from the command line tbatch_infer.py The one I use to process inbound cat images voc-fcn32s: deploy.prototxt A deployment version of trainval.prototxt