fix: AHSF tuning, prep for further tuning

This commit is contained in:
Prohurtz 2024-07-04 19:19:11 -05:00
parent f957550fec
commit b91519721f

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@ -906,10 +906,14 @@ if __name__ == "__main__":
def External_Run_AHSF(frame_gray):
average_color = np.mean(frame_gray)
orig_height, orig_width = frame_gray.shape
org_frame_gray = frame_gray.copy()
frame_gray = cv2.resize(frame_gray, (130, 130)) # TODO TEST FIXED RESIZE
# Get the dimensions of the rotated image
height, width = frame_gray.shape
# Determine the size of the square background (choose the larger dimension)
max_dimension = max(height, width)
@ -926,19 +930,23 @@ def External_Run_AHSF(frame_gray):
frame_gray = square_background
frame_clear_resize = frame_gray.copy()
wmax = frame_gray.shape[1] * 0.5 # likes to crash, might need more tuning still
wmin = frame_gray.shape[1] * 0.08
wh_step = max((int(max_dimension / 80)),1) # TODO: FINETUNE VALUES
xy_step = max(int(max_dimension / 24), 1) # TODO: FINETUNE VALUES
wmax = max_dimension * 0.4 # likes to crash, might need more tuning still
wmin = max_dimension * 0.02
params = {
"ratio_downsample": 0.5,
"use_init_rect": False,
"mu_outer": 250, # aprroximatly how much pupil should be in the outer rect
"mu_inner": 50, # aprroximatly how much pupil should be in the inner rect
"mu_outer": 200, # aprroximatly how much pupil should be in the outer rect
"mu_inner": 70, # aprroximatly how much pupil should be in the inner rect
"ratio_outer": 1.0, # rectangular ratio. 1 means square (LIKE REGULAR HSF)
"kf": 2, # noise filter. May lose tracking if too high (or even never start)
"kf": 1.5, # noise filter. May lose tracking if too high (or even never start)
"width_min": wmin, # Minimum width of the pupil
"width_max": wmax, # Maximum width of the pupil
"wh_step": 5, # Pupil width and height step search size
"xy_step": 10, # Kernel movement step search size
"wh_step": wh_step, # Pupil width and height step search size
"xy_step": xy_step, # Kernel movement step search size
"roi": (0, 0, frame_gray.shape[1], frame_gray.shape[0]),
"init_rect_flag": False,
"init_rect": (0, 0, frame_gray.shape[1], frame_gray.shape[0]),
@ -960,35 +968,64 @@ def External_Run_AHSF(frame_gray):
image_brg = frame_gray # cv2.cvtColor(frame_gray, cv2.COLOR_GRAY2BGR)
# show
# cv2.rectangle(
# image_brg,
# (pupil_rect_coarse[0], pupil_rect_coarse[1]),
# (
# pupil_rect_coarse[0] + pupil_rect_coarse[2],
# pupil_rect_coarse[1] + pupil_rect_coarse[so 3],
# ),
# (0, 255, 0),
# 2,
# )
cv2.rectangle(
frame_gray,
(outer_rect_coarse[0], outer_rect_coarse[1]),
(
outer_rect_coarse[0] + outer_rect_coarse[2],
outer_rect_coarse[1] + outer_rect_coarse[3],
),
(255, 0, 0),
1,
)
x_center = outer_rect_coarse[0] + outer_rect_coarse[2] / 2
y_center = outer_rect_coarse[1] + outer_rect_coarse[3] / 2
x, y, width, height = outer_rect_coarse
cv2.circle(frame_gray, (int(x_center), int(y_center)), 2, (255, 255, 255), -1)
scale_x = orig_width / 130
scale_y = orig_height / 130
x_center = int(x_center * scale_x)
y_center = int(y_center * scale_y)
# print(x_center, y_center, scale_x, orig_height, orig_width)
cv2.circle(org_frame_gray, (int(x_center), int(y_center)), 2, (255, 255, 255), -1)
pupil_rect_coarse_0 = int(pupil_rect_coarse[0] * scale_x)
pupil_rect_coarse_2 = int(pupil_rect_coarse[2] * scale_x)
pupil_rect_coarse_1 = int(pupil_rect_coarse[1] * scale_x)
pupil_rect_coarse_3 = int(pupil_rect_coarse[3] * scale_x)
outer_rect_coarse_0 = int(outer_rect_coarse[0] * scale_x)
outer_rect_coarse_2 = int(outer_rect_coarse[2] * scale_x)
outer_rect_coarse_1 = int(outer_rect_coarse[1] * scale_x)
outer_rect_coarse_3 = int(outer_rect_coarse[3] * scale_x)
cv2.rectangle(
org_frame_gray,
(pupil_rect_coarse_0, pupil_rect_coarse_1),
(
pupil_rect_coarse_0 + pupil_rect_coarse_2,
pupil_rect_coarse_1 + pupil_rect_coarse_3,
),
(255, 255, 255),
1,
)
cv2.rectangle(
org_frame_gray,
(outer_rect_coarse_0, outer_rect_coarse_1),
(
outer_rect_coarse_0 + outer_rect_coarse_2,
outer_rect_coarse_1 + outer_rect_coarse_3,
),
(255, 255, 255),
1,
)
# Calculate the major and minor diameters
major_diameter = math.sqrt(width**2 + height**2)
minor_diameter = min(width, height)
average_diameter = (major_diameter + minor_diameter) / 2
return frame_gray, frame_clear_resize, x_center, y_center, abs(width - height)
return org_frame_gray, frame_clear_resize, x_center, y_center, abs(width - height)