r/sustaining_gazes_tnc
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Fixes and sort of mini fade

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This commit is contained in:
Ruben van de Ven 2019-02-06 10:04:42 +01:00
parent d58e4fed01
commit 895e12c034
1 changed files with 4 additions and 4 deletions
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8
head_pose.py
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@ -446,8 +446,8 @@ def captureFacesPoints(i):
def captureVideo(): def captureVideo():
c = cv2.VideoCapture(args.camera) c = cv2.VideoCapture(args.camera)
# set camera resoltion # set camera resoltion
c.set(3, 1280) # c.set(3, 1280)
c.set(4, 720) # c.set(4, 720)
c.set(3, 960) c.set(3, 960)
c.set(4, 540) c.set(4, 540)
logger.debug("Camera FPS: {}".format(c.get(5))) logger.debug("Camera FPS: {}".format(c.get(5)))
@ -531,6 +531,7 @@ while True:
if targetInt[0]+spotSize[0] >= 0 and targetInt[1]+spotSize[1] >= 0 and targetInt[0]-spotSize[0] < metricsSize[0] and targetInt[1]-spotSize[0] < metricsSize[1]: if targetInt[0]+spotSize[0] >= 0 and targetInt[1]+spotSize[1] >= 0 and targetInt[0]-spotSize[0] < metricsSize[0] and targetInt[1]-spotSize[0] < metricsSize[1]:
dataframe = dataframe.append({'x':targetInt[0],'y':targetInt[1]}, ignore_index=True) dataframe = dataframe.append({'x':targetInt[0],'y':targetInt[1]}, ignore_index=True)
logger.info("Put metric {},{} in metrix of {},{}".format(targetInt[1],targetInt[0], metricsSize[1], metricsSize[0])) logger.info("Put metric {},{} in metrix of {},{}".format(targetInt[1],targetInt[0], metricsSize[1], metricsSize[0]))
#TODO: make it one numpy array action:
for sx in range(spotSize[0]): for sx in range(spotSize[0]):
for sy in range(spotSize[1]): for sy in range(spotSize[1]):
mx = targetInt[0] + sx - (spotSize[0]-1)/2 mx = targetInt[0] + sx - (spotSize[0]-1)/2
@ -540,7 +541,6 @@ while True:
newMetrics[my,mx] += spot[sx,sy] #/ 20 newMetrics[my,mx] += spot[sx,sy] #/ 20
# print("MAX",np.max(newMetrics)) # print("MAX",np.max(newMetrics))
# TODO: put in an image of a blurred spot & remove blur action
# after we collected all new metrics, blur them foor smoothness # after we collected all new metrics, blur them foor smoothness
# and add to all metrics collected # and add to all metrics collected
@ -575,7 +575,7 @@ while True:
metrics = metrics + newMetrics*diffT metrics = metrics + newMetrics*diffT
newMetrics *= (1-diffT) newMetrics *= (1-diffT)
print('MAXES', np.max(metrics), np.max(newMetrics)) print('MAXES', np.max(metrics), np.max(newMetrics), diffT)
# smooth impact of first hits by having at least 0.05 # smooth impact of first hits by having at least 0.05
normalisedMetrics = metrics / (max(255*7 ,np.max(metrics))) normalisedMetrics = metrics / (max(255*7 ,np.max(metrics)))