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improved BCJA caricature #8

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improved BCJA caricature #8

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39 changes: 18 additions & 21 deletions BCJA.py
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Original file line number Diff line number Diff line change
@@ -1,25 +1,22 @@
#
# _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
# /\ _ `\ /\ _ _ _\/\_ _ _ \/\ _ _ `\
# \ \ \_\ \_\ \ \_ _ /\/_ _ _/\ \ \ \ \ \
# \ \ _ _ `\ \ \ _ \ \ \ \ \_ _\ \
# \ \ \_ _\ \ \ \_ _ _ /\`\_\/ \ \ _ _ \
# \ \_ _ _ _\ \_ _ _ _\ \_ _ _ _\ \_\_ /\_\
# \/_ _ _ _/\/_ _ _ _/\/_ _ _ _/\/_/ \/_/
# _____ _______ _______ _______
# /\ _ \ /\ _____\ /\_____ \ /\ ___ \
# \ \ \_\ \_ \ \ \___ / \/_____/\ \ \ \ \ \ \
# \ \ ___ \ \ \ \ _ \ \ \ \ \ \___\ \
# \ \ \___\ \ \ \ \_____ /\ \_\/ \ \ \ ___ \
# \ \_______\ \ \_______\ \ \_______\ \ \_\__/\_\
# \/_______/ \/______/ \/_______/ \/_/ \/_/
#
# ================================================
# Library used to detect facial features, gestures
# and other thigs, finally used to detect and cla-
# -ssify different instances of blended classical
# joint attention. For further information and us-
# -age see ReadMe.md.
# ================================================
#
# Liscence is hereby provided to everyone abiding
# by the liscecnces of the dependencies to use this
# library when and where needed without a need to
# state.
# ================================================
# ======================================================
# Library used to detect facial features, gestures and
# other thigs, finally used to detect and classify
# different instances of blended classical joint attention.
# For further information and usage see README.md
# =======================================================
# License is hereby provided to everyone abiding by the licences
# of the dependencies to use this library when and where needed
# without a need to state
# =======================================================

import fdetect
import getcascades
Expand Down Expand Up @@ -123,4 +120,4 @@ def gaze_direction(video_capture):

def head_pose(video_capture):
predictor = getcascades.facial_landmarks()
head.face_pose(video_capture,predictor)
head.face_pose(video_capture,predictor)