HSRAC POC working

This commit is contained in:
Prohurtz 2022-12-22 12:33:49 -08:00
parent d5f9fabf09
commit ec7e58fdae
6 changed files with 88 additions and 49 deletions

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@ -41,7 +41,7 @@ class Camera:
def run(self):
while True:
if self.cancellation_event.is_set():
print("\033[94m[INFO] Exiting capture thread\033[0m")
print("\033[94m[INFO] Exiting Capture thread\033[0m")
return
should_push = True
# If things aren't open, retry until they are. Don't let read requests come in any earlier

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@ -26,6 +26,7 @@ class EyeTrackSettingsConfig(BaseModel):
gui_HSF: bool = True
gui_BLOB: bool = False
gui_BLINK: bool = True
gui_HSRAC: bool = True
gui_min_cutoff: str = "0.0004"
gui_speed_coefficient: str = "0.9"
gui_osc_address: str = "127.0.0.1"

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@ -49,15 +49,13 @@ from one_euro_filter import OneEuroFilter
if sys.platform.startswith("win"):
from winsound import PlaySound, SND_FILENAME, SND_ASYNC
import _thread
import functools
import math
import os
import timeit
import time
from collections import namedtuple
from functools import lru_cache
import xxhash
class InformationOrigin(Enum):
RANSAC = 1
@ -175,10 +173,6 @@ def cal_osc(self, cx, cy):
return out_x, out_y
def HSFV():
self.response_list = []
#HSF \/
@ -1015,13 +1009,13 @@ class EyeProcessor:
crop_start_time = timeit.default_timer()
# Define the center point and radius
center_x, center_y = center_xy
upper_x = center_x + 20 #TODO make this a setting
lower_x = center_x - 20
upper_y = center_y + 20
lower_y = center_y - 20
upper_x = center_x + 25 #TODO make this a setting
lower_x = center_x - 25
upper_y = center_y + 25
lower_y = center_y - 25
# Crop the image using the calculated bounds
cropped_image = gray_frame[lower_y:upper_y, lower_x:upper_x]
cropped_image = gray_frame[lower_y:upper_y, lower_x:upper_x] # y is 50px, x is 45? why?
if self.now_mode == self.cv_mode[0] or self.now_mode == self.cv_mode[1]:
# If mode is first_frame or radius_adjust, record current radius and response
@ -1058,8 +1052,7 @@ class EyeProcessor:
hsfandransac = False
if not hsfandransac:
if not self.settings.gui_HSRAC:
out_x, out_y = cal_osc(self, center_x, center_y)
cv2.circle(frame, (center_x, center_y), 10, (0, 0, 255), -1)
@ -1096,36 +1089,46 @@ class EyeProcessor:
rng = np.random.default_rng()
f = False
newImage2 = cropped_image.copy()
# Convert the image to grayscale, and set up thresholding. Thresholds here are basically a
# low-pass filter that will set any pixel < the threshold value to 0. Thresholding is user
# configurable in this utility as we're dealing with variable lighting amounts/placement, as
# well as camera positioning and lensing. Therefore everyone's cutoff may be different.
#
# The goal of thresholding settings is to make sure we can ONLY see the pupil. This is why we
# crop the image earlier; it gives us less possible dark area to get confused about in the
# next step.
frame = cropped_image
# For measuring processing time of image processing
# Crop first to reduce the amount of data to process.
# img = self.current_image_gray[0:len(self.current_image_gray) - 10, :]
frame = frame[0:len(frame) - 5, :]
# To reduce the processing data, first convert to 1-channel and then blur.
# The processing results were the same when I swapped the order of blurring and 1-channelization.
# image_gray = self.current_image_gray
image_gray = cv2.GaussianBlur(cropped_image, (5, 5), 0)
frame_gray = cv2.GaussianBlur(frame, (5, 5), 0)
# this will need to be adjusted everytime hardware is changed (brightness of IR, Camera postion, etc)m
min_val, max_val, min_loc, max_loc = cv2.minMaxLoc(image_gray)
min_val, max_val, min_loc, max_loc = cv2.minMaxLoc(frame_gray)
maxloc0_hf, maxloc1_hf = int(0.5 * max_loc[0]), int(0.5 * max_loc[1])
# crop 15% sqare around min_loc
# image_gray = image_gray[max_loc[1] - maxloc1_hf:max_loc[1] + maxloc1_hf,
# max_loc[0] - maxloc0_hf:max_loc[0] + maxloc0_hf]
# frame_gray = frame_gray[max_loc[1] - maxloc1_hf:max_loc[1] + maxloc1_hf,
# max_loc[0] - maxloc0_hf:max_loc[0] + maxloc0_hf]
threshold_value = min_val + thresh_add
th_ret, thresh = cv2.threshold(image_gray, threshold_value, 255, cv2.THRESH_BINARY)
_, thresh = cv2.threshold(frame_gray, threshold_value, 255, cv2.THRESH_BINARY)
try:
opening = cv2.morphologyEx(thresh, cv2.MORPH_OPEN, kernel)
closing = cv2.morphologyEx(opening, cv2.MORPH_CLOSE, kernel)
image = 255 - closing
th_frame = 255 - closing
except:
# I want to eliminate try here because try tends to be slow in execution.
image = 255 - image_gray
contours, hierarchy = cv2.findContours(image, cv2.RETR_TREE, cv2.CHAIN_APPROX_NONE)
th_frame = 255 - frame_gray
detect_start_time = timeit.default_timer()
contours, _ = cv2.findContours(th_frame, cv2.RETR_TREE, cv2.CHAIN_APPROX_NONE)
hull = []
# This way is faster than contours[i]
# But maybe this one is faster. hull = [cv2.convexHull(cnt, False) for cnt in contours]
@ -1135,34 +1138,58 @@ class EyeProcessor:
# If empty, go to next loop
pass
try:
self.current_image_gray = cropped_image
cv2.drawContours(self.current_image_gray, contours, -1, (255, 0, 0), 1)
cnt = sorted(hull, key=cv2.contourArea)
maxcnt = cnt[-1]
ellipse = cv2.fitEllipse(maxcnt)
ransac_data = fit_rotated_ellipse_ransac(maxcnt.reshape(-1, 2))
# ellipse = cv2.fitEllipse(maxcnt)
ransac_data = fit_rotated_ellipse_ransac(maxcnt.reshape(-1, 2), rng)
if ransac_data is None:
# ransac_data is None==maxcnt.shape[0]<sample_num
# go to next loop
pass
cx, cy, w, h, theta = ransac_data
crop_start_time = timeit.default_timer()
cx, cy, w, h, theta = ransac_data
csx = frame.shape[0]
csy = frame.shape[1]
cx = center_x - (csx - cx) # we find the difference between the crop size and ransac point, and subtract from the center point from HSF
cy = center_y - (csy - cy)
out_x, out_y = cal_osc(self, cx, cy)
#print()
ocx = center_x - cx
ocy = center_y - cy
print(ocx, ocy)
out_x, out_y = cal_osc(self, ocx, ocy)
cx, cy, w, h = int(cx), int(cy), int(w), int(h)
cv2.drawContours(self.current_image_gray, contours, -1, (255, 0, 0), 1)
cv2.circle(self.current_image_gray, (cx, cy), 2, (0, 0, 255), -1)
# cx1, cy1, w1, h1, theta1 = fit_rotated_ellipse(maxcnt.reshape(-1, 2))
cv2.ellipse(self.current_image_gray, (cx, cy), (w, h), theta * 180.0 / np.pi, 0.0, 360.0, (50, 250, 200), 1, )
self.output_images_and_update(thresh, EyeInformation(InformationOrigin.HSF, out_x, out_y, 0, False))
cv2.ellipse(self.current_image_gray, (cx, cy), (w, h), theta * 180.0 / np.pi, 0.0, 360.0, (50, 250, 200), 1, )
#img = newImage2[y1:y2, x1:x2]
except:
pass
#self.output_images_and_update(thresh, EyeInformation(InformationOrigin.HSF, 0, 0, 0, False))
self.current_image_gray = frame
cv2.circle(self.current_image_gray, min_loc, 2, (0, 0, 255),
-1) # the point of the darkest area in the image
try:
if self.settings.gui_BLINK:
self.output_images_and_update(thresh, EyeInformation(InformationOrigin.HSF, out_x, out_y, 0, self.blinkvalue))
else:
self.output_images_and_update(thresh, EyeInformation(InformationOrigin.HSF, out_x, out_y, 0, False))
f = False
except:
pass
except:
try:
if self.settings.gui_BLINK: #tbh this is redundant, the algo already has blink detection built in
if self.settings.gui_BLINK:
self.output_images_and_update(frame, EyeInformation(InformationOrigin.HSF, out_x, out_y, 0, self.blinkvalue))
else:
self.output_images_and_update(frame, EyeInformation(InformationOrigin.HSF, out_x, out_y, 0, False))
@ -1507,9 +1534,9 @@ class EyeProcessor:
pass
""" #print("[WARN] ALL ALGORITHIMS HAVE FAILED OR ARE DISABLED.")
self.RANSAC3D()
# self.RANSAC3D()
#self.BLINK()
# self.HSF()
self.HSF()
# f == self.RANSAC3D()'''
#FLOW MOCK

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@ -31,7 +31,7 @@ SETTINGS_RADIO_NAME = '-SETTINGSRADIO-'
page_url = 'https://github.com/RedHawk989/EyeTrackVR/releases/latest'
appversion = "0.1.7.2"
appversion = "0.1.8.2"
def open_url():
try:
@ -67,9 +67,9 @@ def main():
latestversion = '\n'.join(chunk for chunk in chunks if chunk)
if appversion == latestversion: # If what we scraped and hardcoded versions are same, assume we are up to date.
print(f"\033[92m[INFO] App is up to date! {latestversion}\033[0m")
print(f"\033[92m[INFO] App is up to date! [{latestversion}]\033[0m")
else:
print(f"\033[93m[INFO] You have app version {appversion} installed. Please update to {latestversion} for the newest fixes.\033[0m")
print(f"\033[93m[INFO] You have app version [{appversion}] installed. Please update to [{latestversion}] for the newest features.\033[0m")
if sys.platform.startswith("win"):
toaster = ToastNotifier()
toaster.show_toast( #show windows toast

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@ -163,7 +163,7 @@ class VRChatOSCReceiver:
print(f"\033[91m[ERROR] OSC Recieve port: {self.config.gui_osc_receiver_port} occupied.\033[0m")
def shutdown(self):
print("\033[94m[INFO] Shutting down OSC receiver")
print("\033[94m[INFO] Exiting OSC receiver")
try:
self.server.shutdown()
except:

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@ -24,6 +24,7 @@ class SettingsWidget:
self.gui_HSF = f"-HSF{widget_id}-"
self.gui_RANSAC3D = f"-RANSAC3D{widget_id}-"
self.gui_BLINK = f"-BLINK{widget_id}-"
self.gui_HSRAC = f"-HSRAC{widget_id}-"
self.gui_blob_maxsize = f"-BLOBMAXSIZE{widget_id}-"
self.gui_blob_minsize = f"-BLOBMINSIZE{widget_id}-"
self.gui_speed_coefficient = f"-SPEEDCOEFFICIENT{widget_id}-"
@ -79,6 +80,12 @@ class SettingsWidget:
],
[sg.Checkbox(
"HSRAC",
default=self.config.gui_HSRAC,
key=self.gui_HSRAC,
background_color='#424042',
),
sg.Checkbox(
"RANSAC 3D",
default=self.config.gui_RANSAC3D,
key=self.gui_RANSAC3D,
@ -263,6 +270,10 @@ class SettingsWidget:
self.config.gui_RANSAC3D = values[self.gui_RANSAC3D]
changed = True
if self.config.gui_HSRAC != values[self.gui_HSRAC]:
self.config.gui_HSRAC = values[self.gui_HSRAC]
changed = True
if self.config.gui_BLINK != values[self.gui_BLINK]:
self.config.gui_BLINK = values[self.gui_BLINK]
changed = True