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#!/usr/bin/python
# The contents of this file are in the public domain. See LICENSE_FOR_EXAMPLE_PROGRAMS.txt
#
# This example shows how to use the correlation_tracker from the dlib Python
# library. This object lets you track the position of an object as it moves
# from frame to frame in a video sequence. To use it, you give the
# correlation_tracker the bounding box of the object you want to track in the
# current video frame. Then it will identify the location of the object in
# subsequent frames.
#
# In this particular example, we are going to run on the
# video sequence that comes with dlib, which can be found in the
# examples/video_frames folder. This video shows a juice box sitting on a table
# and someone is waving the camera around. The task is to track the position of
# the juice box as the camera moves around.
#
# COMPILING THE DLIB PYTHON INTERFACE
# Dlib comes with a compiled python interface for python 2.7 on MS Windows. If
# you are using another python version or operating system then you need to
# compile the dlib python interface before you can use this file. To do this,
# run compile_dlib_python_module.bat. This should work on any operating
# system so long as you have CMake and boost-python installed.
# On Ubuntu, this can be done easily by running the command:
# sudo apt-get install libboost-python-dev cmake
#
# Also note that this example requires scikit-image which can be installed
# via the command:
# pip install -U scikit-image
# Or downloaded from http://scikit-image.org/download.html.
import os
import glob
import dlib
from skimage import io
# Path to the video frames
video_folder = os.path.join("..", "examples", "video_frames")
# Create the correlation tracker - the object needs to be initialized
# before it can be used
tracker = dlib.correlation_tracker()
win = dlib.image_window()
# We will track the frames as we load them off of disk
for k, f in enumerate(sorted(glob.glob(os.path.join(video_folder, "*.jpg")))):
print("Processing Frame {}".format(k))
img = io.imread(f)
# We need to initialize the tracker on the first frame
if k == 0:
# Start a track on the juice box. If you look at the first frame you
# will see that the juice box is contained within the bounding
# box (74, 67, 112, 153).
tracker.start_track(img, dlib.rectangle(74, 67, 112, 153))
else:
# Else we just attempt to track from the previous frame
tracker.update(img)
win.clear_overlay()
win.set_image(img)
win.add_overlay(tracker.get_position())
dlib.hit_enter_to_continue()