IBO fix, new RANSAC blink

This commit is contained in:
Prohurtz 2023-07-10 21:28:34 -05:00
parent c6a11ae62d
commit d5462e09fe
6 changed files with 56 additions and 41 deletions

View File

@ -83,7 +83,7 @@ class Camera:
def done_callback(self, future):
try:
time.sleep(0.1) # Very important wait
time.sleep(0.5) # Very important wait
self.cv2_camera = future.result()
except Exception:
# Set cv2_camera to None if an exception occurred

View File

@ -343,21 +343,23 @@ class CameraWidget:
graph.draw_circle(
(eye_info.x * -100, eye_info.y * -100),
25,
20,
fill_color="black",
line_color="white",
)
else:
graph.draw_circle(
(0.0 * -100, 0.0 * -100),
25,
20,
fill_color="black",
line_color="white",
)
if not np.isnan(eye_info.blink):
graph.draw_line((-100,eye_info.blink * 200), (-100,100), color="#6f4ca1", width=10)
graph.draw_line((-100, eye_info.blink * 200), (-100, 100), color="#6f4ca1", width=10)
else:
graph.draw_line((-100, 0.0 * 200), (-100, 100), color="black", width=10)
graph.draw_line((-100, 0.5 * 200), (-100, 100), color="#6f4ca1", width=10)
if eye_info.blink <= 0.0:
graph.update(background_color="#6f4ca1")

View File

@ -253,7 +253,7 @@ class EyeProcessor:
if self.settings.gui_BLINK:
self.eyeopen = BLINK(self)
if self.settings.gui_IBO:
if self.settings.gui_IBO and self.eyeopen != 0.0:
self.eyeopen = self.ibo.intense(
self.rawx,
self.rawy,
@ -268,7 +268,7 @@ class EyeProcessor:
if self.bd_blink == True:
pass
if self.settings.gui_IBO and self.settings.gui_BLINK:
if self.settings.gui_IBO and self.settings.gui_BLINK and self.eyeopen != 0.0:
ibo = self.ibo.intense(
self.rawx,
self.rawy,
@ -282,7 +282,7 @@ class EyeProcessor:
self.eyeopen = 0.0
else:
self.eyeopen = ibo
print(self.eyeopen)
self.output_images_and_update(
self.thresh,
EyeInfo(self.current_algo, self.out_x, self.out_y, 0, self.eyeopen),
@ -293,7 +293,7 @@ class EyeProcessor:
def LEAPM(self):
self.thresh = self.current_image_gray.copy()
self.current_image_gray, self.rawx, self.rawy, self.eyeopen = self.er_leap.run(self.current_image_gray)
self.current_image_gray, self.rawx, self.rawy, self.eyeopen = self.er_leap.run(self.current_image_gray, True)
self.thresh = self.current_image_gray.copy()
self.out_x, self.out_y = cal.cal_osc(self, self.rawx, self.rawy)
self.current_algorithm = EyeInfoOrigin.LEAP
@ -328,7 +328,7 @@ class EyeProcessor:
self.rawx, self.rawy, self.thresh, self.radius = self.er_hsf.run(
self.current_image_gray
)
self.rawx, self.rawy, self.thresh = RANSAC3D(self, True)
self.rawx, self.rawy, self.thresh, self.eyeopen = RANSAC3D(self, True)
# print(self.radius)
# if self.prev_x is None:
# self.prev_x = self.rawx
@ -371,7 +371,7 @@ class EyeProcessor:
current_image_gray_copy = (
self.current_image_gray.copy()
) # Duplicate before overwriting in RANSAC3D.
self.rawx, self.rawy, self.thresh = RANSAC3D(self, False)
self.rawx, self.rawy, self.thresh, self.eyeopen = RANSAC3D(self, False)
self.out_x, self.out_y = cal.cal_osc(self, self.rawx, self.rawy)
self.current_algorithm = EyeInfoOrigin.RANSAC

View File

@ -260,16 +260,16 @@ class IntensityBasedOpeness:
self.filterlist.append(intensity)
if intensity >= np.percentile(
self.filterlist, 99
self.filterlist, 98
): # filter abnormally high values
# print('filter, assume blink')
intensity = self.maxval
# if intensity <= np.percentile( # TODO test this
# self.filterlist, 1
# ): # filter abnormally low values
if intensity <= np.percentile( # TODO test this
self.filterlist, 0.3
): # filter abnormally low values
# print('filter, assume blink')
# intensity = self.maxval
intensity = self.data[int_y, int_x]
# self.tri_filter.append(intensity)
# if len(self.tri_filter) > 3:
@ -330,11 +330,12 @@ class IntensityBasedOpeness:
changed = True
else:
intensitya = max(
data_val + 0.001, 1
) # if current intensity value is not less use
self.data[int_y, int_x] = intensitya # set value
data_val + 5000, 1
) # if current intensity value is not less use this is an agressive adjust, test
self.data[int_y, int_x] = intensitya # set value
changed = True
# min pupil global
if self.maxval == 0: # that value is not yet saved
self.maxval = intensity # set value at 0 index
@ -353,8 +354,8 @@ class IntensityBasedOpeness:
# Do the same thing as in the original version.
eyeopen = self.prev_val # 0.9
else:
maxp = self.data[int_y, int_x]
minp = self.maxval
maxp = float(self.data[int_y, int_x])
minp = float(self.maxval)
eyeopen = (intensity - maxp) / (
minp - maxp
@ -362,23 +363,6 @@ class IntensityBasedOpeness:
eyeopen = 1 - eyeopen
if len(self.openlist) < 1000: # TODO expose as setting?
self.openlist.append(eyeopen)
else:
if eyeopen >= np.percentile(self.openlist, 99) or eyeopen <= np.percentile(self.openlist, 1):
pass
else:
self.openlist.pop(0)
self.openlist.append(eyeopen)
try:
per = ((eyeopen - max(self.openlist)) / (min(self.openlist) - max(self.openlist)))
eyeopen = 1 - per
except:
pass
if outputSamples > 0:
if len(self.averageList) < outputSamples:
self.averageList.append(eyeopen)
@ -387,7 +371,11 @@ class IntensityBasedOpeness:
self.averageList.append(eyeopen)
eyeopen = np.average(self.averageList)
if eyeopen > 1: # clamp values
eyeopen = 1.0
if eyeopen < 0:
eyeopen = 0.0

View File

@ -124,6 +124,8 @@ class LEAP_C(object):
self.openlist = []
self.x = 0
self.y = 0
self.frame_lim_count = 0
self.last_lid = 0.7
self.ort_session1 = onnxruntime.InferenceSession(
@ -149,6 +151,14 @@ class LEAP_C(object):
break
def leap_run(self):
if self.lid_only == True:
if self.frame_lim_count > 0:
self.frame_lim_count = 0
return self.current_image_gray, float(0), float(0), self.last_lid,
else:
self.frame_lim_count += 1
pass
img = self.current_image_gray.copy()
img = cv2.cvtColor(img, cv2.COLOR_GRAY2RGB)
# img = imutils.rotate(img, angle=320)
@ -188,10 +198,14 @@ class LEAP_C(object):
per = ((d - max(self.openlist)) / (min(self.openlist) - max(self.openlist)))
per = 1 - per
except:
per = 0.7
pass
x = pre_landmark[17][0]
y = pre_landmark[17][1]
frame = cv2.cvtColor(img, cv2.COLOR_RGB2GRAY)
self.last_lid = per
return frame, float(x), float(y), per
@ -202,7 +216,8 @@ class External_Run_LEAP(object):
def __init__(self):
self.algo = LEAP_C()
def run(self, current_image_gray):
def run(self, current_image_gray, trackmode):
self.algo.lid_only = trackmode
self.algo.current_image_gray = current_image_gray
img, x, y, per = self.algo.leap_run()
return img, x, y, per

View File

@ -164,6 +164,7 @@ cct = 300
def RANSAC3D(self, hsrac_en):
f = False
ranf = False
blink = 0.7
if hsrac_en:
center_x, center_y, upper_x, lower_x, upper_y, lower_y, ransac_lower_x, ransac_lower_y, ransac_upper_x, ransac_upper_y, ransac_xy_offset = get_center_noclamp(
@ -311,6 +312,15 @@ def RANSAC3D(self, hsrac_en):
cy = int(clamp(cy + ransac_lower_y, 0, csy))
#print(contours)
for cnt in contours:
(x, y, w, h) = cv2.boundingRect(cnt)
perscalarw = w / csx
perscalarh = h / csy
# print(abs(perscalarw-perscalarh))
if abs(perscalarw-perscalarh) >= 0.26: # TODO setting
blink = 0.0
try:
cv2.drawContours(self.current_image_gray, contours, -1, (255, 0, 0), 1) # TODO: fix visualizations with HSRAC
@ -363,7 +373,7 @@ def RANSAC3D(self, hsrac_en):
thresh = cv2.resize(thresh, (x,y))
try:
self.failed = 0 # we have succeded, continue with this
return cx, cy, thresh
return cx, cy, thresh, blink
except:
self.failed = self.failed + 1 #we have failed, move onto next algo
return 0, 0, thresh
return 0, 0, thresh, blink