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Added notes about installing skimage.
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@ -28,6 +28,11 @@
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# system so long as you have CMake and boost-python installed.
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# On Ubuntu, this can be done easily by running the command:
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# sudo apt-get install libboost-python-dev cmake
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#
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# Also note that this example requires scikit-image which can be installed
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# via the command:
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# pip install -U scikit-image
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# Or downloaded from http://scikit-image.org/download.html.
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import sys
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@ -28,6 +28,12 @@
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# system so long as you have CMake and boost-python installed.
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# On Ubuntu, this can be done easily by running the command:
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# sudo apt-get install libboost-python-dev cmake
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#
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# Also note that this example requires scikit-image which can be installed
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# via the command:
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# pip install -U scikit-image
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# Or downloaded from http://scikit-image.org/download.html.
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import sys
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import os
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import dlib
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@ -12,6 +12,12 @@
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# the false alarms. Since find_candidate_object_locations() will only generate
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# a few thousand rectangles it is much faster than scanning all possible
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# rectangles inside an image.
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#
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# Also note that this example requires scikit-image which can be installed
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# via the command:
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# pip install -U scikit-image
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# Or downloaded from http://scikit-image.org/download.html.
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import dlib
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@ -15,6 +15,12 @@
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# system so long as you have CMake and boost-python installed.
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# On Ubuntu, this can be done easily by running the command:
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# sudo apt-get install libboost-python-dev cmake
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#
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# Also note that this example requires scikit-image which can be installed
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# via the command:
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# pip install -U scikit-image
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# Or downloaded from http://scikit-image.org/download.html.
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import os
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import sys
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import glob
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@ -24,6 +24,12 @@
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# system so long as you have CMake and boost-python installed.
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# On Ubuntu, this can be done easily by running the command:
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# sudo apt-get install libboost-python-dev cmake
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#
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# Also note that this example requires scikit-image which can be installed
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# via the command:
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# pip install -U scikit-image
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# Or downloaded from http://scikit-image.org/download.html.
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import os
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import sys
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import glob
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