Commit 154f4354 authored by Davis King's avatar Davis King

Added notes about installing skimage.

parent 8cc8cb5e
......@@ -28,6 +28,11 @@
# 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 sys
......
......@@ -28,6 +28,12 @@
# 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 sys
import os
import dlib
......
......@@ -12,6 +12,12 @@
# the false alarms. Since find_candidate_object_locations() will only generate
# a few thousand rectangles it is much faster than scanning all possible
# rectangles inside an image.
#
# 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 dlib
......
......@@ -15,6 +15,12 @@
# 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 sys
import glob
......
......@@ -24,6 +24,12 @@
# 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 sys
import glob
......
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