gestures

[unmaintained] PoC for motion gesture detection from webcam input
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commit 9869a9845900deda6dbdc2d6579ee46d67b21c11
parent 7d61b3f949e148bc6f9cdec0d2ff30a94e26651c
Author: Stefan Koch <taikano@lavabit.com>
Date:   Sat, 22 Jun 2013 13:45:38 +0200

Merge branch 'master' of https://github.com/taikano/gestures

Diffstat:
Mmodels.py | 23++++++++++-------------
1 file changed, 10 insertions(+), 13 deletions(-)

diff --git a/models.py b/models.py @@ -23,9 +23,13 @@ gestures = [ training_data = [[] for gesture in gestures] +def uniq_list(seq): + seen = set() + return [x for x in seq if x not in seen and not seen.add(x)] + # TODO: Zuordnung von Indizes stimmt noch nicht def transition_matrix(gesture): - gestes = list(set(gesture)) + gestes = uniq_list(gesture) A = [[0.1 for i in range(GESTES_COUNT)] for j in range(GESTES_COUNT)] # self transitions are high for geste in gestes: @@ -42,20 +46,13 @@ def transition_matrix(gesture): return A -def emission_matrix(gesture): - gestes = set(gesture) +def emission_matrix(): B = [[float(1)/OBSERVATIONS_COUNT for i in range(OBSERVATIONS_COUNT)] for j in range(GESTES_COUNT)] - for geste in gestes: - if geste == UP: - B[geste] = [0.37, 0.04, 0.07, 0.07, 0.155, 0.155, 0.07, 0.07] - elif geste == DOWN: - B[geste] = [0.04, 0.37, 0.07, 0.07, 0.07, 0.07, 0.155, 0.155] - elif geste == LEFT: - B[geste] = [0.07, 0.07, 0.37, 0.04, 0.07, 0.155, 0.07, 0.155] - else: - B[geste] = [0.07, 0.07, 0.04, 0.37, 0.155, 0.07, 0.155, 0.07] - print(B) + B[UP] = [0.37, 0.04, 0.08, 0.08, 0.165, 0.165, 0.05, 0.05] + B[DOWN] = [0.04, 0.37, 0.08, 0.08, 0.05, 0.05, 0.165, 0.165] + B[LEFT] = [0.08, 0.08, 0.37, 0.04, 0.05, 0.165, 0.05, 0.165] + B[RIGHT] = [0.08, 0.08, 0.04, 0.37, 0.165, 0.05, 0.165, 0.05] return B def initial_vector(gesture):