fix opencv hang when no cameras

Add MOMMY v1 (early small model)
This commit is contained in:
Prohurtz 2023-06-23 12:29:44 -05:00
parent 911a63ae18
commit eb6a48df91
9 changed files with 666 additions and 216 deletions

View File

@ -21,6 +21,8 @@ class AlgoSettingsWidget:
self.gui_HSF = f"-HSF{widget_id}-" self.gui_HSF = f"-HSF{widget_id}-"
self.gui_DADDY = f"-DADDY{widget_id}-" self.gui_DADDY = f"-DADDY{widget_id}-"
self.gui_DADDYP = f"-DADDYP{widget_id}-" self.gui_DADDYP = f"-DADDYP{widget_id}-"
self.gui_MOMMYP = f"-MOMMYP{widget_id}-"
self.gui_MOMMY = f"-MOMMY{widget_id}-"
self.gui_RANSAC3D = f"-RANSAC3D{widget_id}-" self.gui_RANSAC3D = f"-RANSAC3D{widget_id}-"
self.gui_BLINK = f"-BLINK{widget_id}-" self.gui_BLINK = f"-BLINK{widget_id}-"
self.gui_IBO = f"-IBO{widget_id}-" self.gui_IBO = f"-IBO{widget_id}-"
@ -131,6 +133,24 @@ class AlgoSettingsWidget:
sg.Text("RANSAC 3D", background_color='#424042'), sg.Text("RANSAC 3D", background_color='#424042'),
], ],
[ [
sg.Checkbox(
"",
default=self.config.gui_MOMMY,
key=self.gui_MOMMY,
background_color='#424042',
tooltip="MOMMY Uses a lightweight Deep learning algorithm.",
),
sg.Combo(['1', '2', '3', '4', '5'],
default_value=self.config.gui_MOMMYP,
key=self.gui_MOMMYP,
background_color='#424042',
text_color='white',
button_arrow_color="black",
button_background_color="#6f4ca1",
tooltip="Select the priority of eyetracking algorithims.",
),
sg.Text("MOMMY", background_color='#424042'),
sg.Checkbox( sg.Checkbox(
"", "",
default=self.config.gui_BLOB, default=self.config.gui_BLOB,
@ -349,6 +369,15 @@ class AlgoSettingsWidget:
self.config.gui_HSRAC = values[self.gui_HSRAC] self.config.gui_HSRAC = values[self.gui_HSRAC]
changed = True changed = True
if self.config.gui_MOMMYP != int(values[self.gui_MOMMYP]):
self.config.gui_MOMMYP = int(values[self.gui_MOMMYP])
changed = True
if self.config.gui_MOMMY != values[self.gui_MOMMY]:
self.config.gui_MOMMY = values[self.gui_MOMMY]
changed = True
if self.config.gui_skip_autoradius != values[self.gui_skip_autoradius]: if self.config.gui_skip_autoradius != values[self.gui_skip_autoradius]:
self.config.gui_skip_autoradius = values[self.gui_skip_autoradius] self.config.gui_skip_autoradius = values[self.gui_skip_autoradius]
changed = True changed = True

View File

@ -5,11 +5,11 @@ import serial
import serial.tools.list_ports import serial.tools.list_ports
import threading import threading
import time import time
import asyncio
from colorama import Fore from colorama import Fore
from config import EyeTrackConfig from config import EyeTrackConfig
from enum import Enum from enum import Enum
import concurrent.futures
WAIT_TIME = 0.1 WAIT_TIME = 0.1
# Serial communication protocol: # Serial communication protocol:
@ -48,7 +48,8 @@ class Camera:
self.cancellation_event = cancellation_event self.cancellation_event = cancellation_event
self.current_capture_source = config.capture_source self.current_capture_source = config.capture_source
self.cv2_camera: "cv2.VideoCapture" = None self.cv2_camera: "cv2.VideoCapture" = None
self.timeout = 5 # Timeout in seconds
self.executor = concurrent.futures.ThreadPoolExecutor(max_workers=1)
self.serial_connection = None self.serial_connection = None
self.last_frame_time = time.time() self.last_frame_time = time.time()
self.frame_number = 0 self.frame_number = 0
@ -70,6 +71,35 @@ class Camera:
def set_output_queue(self, camera_output_outgoing: "queue.Queue"): def set_output_queue(self, camera_output_outgoing: "queue.Queue"):
self.camera_output_outgoing = camera_output_outgoing self.camera_output_outgoing = camera_output_outgoing
async def async_open_capture_source(self):
try:
capture_source = self.current_capture_source
capture = cv2.VideoCapture(capture_source)
await asyncio.sleep(0) # Allow event loop to run other tasks
if capture.isOpened():
return capture
else:
return None
except Exception as e:
print(f"Failed to open capture source: {str(e)}")
return None
def init_camera(self):
if self.cv2_camera == None:
# time.sleep(0.5) # Very important wait
def init():
return cv2.VideoCapture(self.current_capture_source)
future = self.executor.submit(init)
future.add_done_callback(self.done_callback)
else:
pass
def done_callback(self, future):
try:
time.sleep(0.1) # Very important wait
self.cv2_camera = future.result()
except Exception:
# Set cv2_camera to None if an exception occurred
self.cv2_camera = None
def run(self): def run(self):
while True: while True:
if self.cancellation_event.is_set(): if self.cancellation_event.is_set():
@ -81,7 +111,8 @@ class Camera:
if ( if (
self.config.capture_source != None and self.config.capture_source != "" self.config.capture_source != None and self.config.capture_source != ""
): ):
# if self.cv2_camera is not None:
# print(self.cv2_camera, self.cv2_camera.isOpened(),self.camera_status)
if "COM" in str(self.current_capture_source): if "COM" in str(self.current_capture_source):
if ( if (
self.serial_connection is None self.serial_connection is None
@ -95,16 +126,19 @@ class Camera:
if ( if (
self.cv2_camera is None self.cv2_camera is None
or not self.cv2_camera.isOpened() or not self.cv2_camera.isOpened()
or self.camera_status == CameraState.DISCONNECTED # or self.camera_status == CameraState.DISCONNECTED
or self.config.capture_source != self.current_capture_source or self.config.capture_source != self.current_capture_source
): ):
print(self.error_message.format(self.config.capture_source)) print(self.error_message.format(self.config.capture_source))
# This requires a wait, otherwise we can error and possible screw up the camera # This requires a wait, otherwise we can error and possible screw up the camera
# firmware. Fickle things. # firmware. Fickle things.
if self.cancellation_event.wait(WAIT_TIME): if self.cancellation_event.wait(WAIT_TIME):
return return
self.current_capture_source = self.config.capture_source self.current_capture_source = self.config.capture_source
self.cv2_camera = cv2.VideoCapture(self.current_capture_source) self.init_camera()
self.camera_status = CameraState.CONNECTED
#self.cv2_camera = cv2.VideoCapture(self.current_capture_source)
should_push = False should_push = False
else: else:
# We don't have a capture source to try yet, wait for one to show up in the GUI. # We don't have a capture source to try yet, wait for one to show up in the GUI.
@ -124,13 +158,13 @@ class Camera:
if not should_push: if not should_push:
# if we get all the way down here, consider ourselves connected # if we get all the way down here, consider ourselves connected
self.camera_status = CameraState.CONNECTED self.camera_status = CameraState.CONNECTED
def get_cv2_camera_picture(self, should_push): def get_cv2_camera_picture(self, should_push):
try: try:
ret, image = self.cv2_camera.read() ret, image = self.cv2_camera.read()
if not ret: if not ret:
self.cv2_camera.set(cv2.CAP_PROP_POS_FRAMES, 0) self.cv2_camera.set(cv2.CAP_PROP_POS_FRAMES, 0)
raise RuntimeError("Problem while getting frame") raise RuntimeError("Problem while getting frame")
self.newft = time.time()
frame_number = self.cv2_camera.get(cv2.CAP_PROP_POS_FRAMES) frame_number = self.cv2_camera.get(cv2.CAP_PROP_POS_FRAMES)
# Calculate the fps. # Calculate the fps.
current_frame_time = time.time() current_frame_time = time.time()
@ -140,16 +174,18 @@ class Camera:
self.bps = len(image) / delta_time self.bps = len(image) / delta_time
self.frame_number = self.frame_number + 1 self.frame_number = self.frame_number + 1
self.fps = (self.fps + self.pf_fps) / 2 self.fps = (self.fps + self.pf_fps) / 2
self.newft = time.time() if self.newft != self.prevft:
self.fps = 1 / (self.newft - self.prevft) self.fps = 1 / (self.newft - self.prevft)
self.prevft = self.newft self.prevft = self.newft
self.fps = int(self.fps) self.fps = int(self.fps)
if len(self.fl) < 60: if len(self.fl) < 60:
self.fl.append(self.fps) self.fl.append(self.fps)
else:
self.fl.pop(0)
self.fl.append(self.fps)
self.fps = sum(self.fl) / len(self.fl)
else: else:
self.fl.pop(0) self.fps = 69
self.fl.append(self.fps)
self.fps = sum(self.fl) / len(self.fl)
#self.bps = image.nbytes #self.bps = image.nbytes
if should_push: if should_push:
self.push_image_to_queue(image, frame_number, self.fps) self.push_image_to_queue(image, frame_number, self.fps)

View File

@ -282,7 +282,6 @@ class CameraWidget:
# TODO: Refactor if statements below... # TODO: Refactor if statements below...
window[self.gui_tracking_fps].update('') window[self.gui_tracking_fps].update('')
window[self.gui_tracking_bps].update('') window[self.gui_tracking_bps].update('')
if self.config.capture_source is None or self.config.capture_source == "": if self.config.capture_source is None or self.config.capture_source == "":
window[self.gui_mode_readout].update("Waiting for camera address") window[self.gui_mode_readout].update("Waiting for camera address")
window[self.gui_roi_message].update(visible=False) window[self.gui_roi_message].update(visible=False)
@ -291,6 +290,7 @@ class CameraWidget:
window[self.gui_mode_readout].update("Camera Connecting") window[self.gui_mode_readout].update("Camera Connecting")
elif self.camera.camera_status == CameraState.DISCONNECTED: elif self.camera.camera_status == CameraState.DISCONNECTED:
window[self.gui_mode_readout].update("Camera Reconnecting...") window[self.gui_mode_readout].update("Camera Reconnecting...")
elif needs_roi_set: elif needs_roi_set:
window[self.gui_mode_readout].update("Awaiting Eye Crop") window[self.gui_mode_readout].update("Awaiting Eye Crop")
elif self.ransac.calibration_frame_counter != None: elif self.ransac.calibration_frame_counter != None:

View File

@ -36,6 +36,7 @@ class EyeTrackSettingsConfig(BaseModel):
gui_BLINK: bool = False gui_BLINK: bool = False
gui_HSRAC: bool = True gui_HSRAC: bool = True
gui_DADDY: bool = False gui_DADDY: bool = False
gui_MOMMY: bool = False
gui_HSF_radius: int = 15 gui_HSF_radius: int = 15
gui_HSF_radius_left: int = 10 gui_HSF_radius_left: int = 10
gui_HSF_radius_right: int = 10 gui_HSF_radius_right: int = 10
@ -57,6 +58,7 @@ class EyeTrackSettingsConfig(BaseModel):
gui_DADDYP: int = 3 gui_DADDYP: int = 3
gui_RANSAC3DP: int = 4 gui_RANSAC3DP: int = 4
gui_BLOBP: int = 5 gui_BLOBP: int = 5
gui_MOMMYP: int = 6
gui_IBO: bool = True gui_IBO: bool = True
gui_skip_autoradius: bool = False gui_skip_autoradius: bool = False
gui_thresh_add: int = 11 gui_thresh_add: int = 11

View File

@ -16,6 +16,7 @@ class EyeInfoOrigin(Enum):
HSF = 4 HSF = 4
HSRAC = 5 HSRAC = 5
DADDY = 6 DADDY = 6
MOMMY = 7
@dataclass @dataclass

View File

@ -52,6 +52,7 @@ import importlib
from osc import EyeId from osc import EyeId
from osc_calibrate_filter import * from osc_calibrate_filter import *
from daddy import External_Run_DADDY from daddy import External_Run_DADDY
from mommy import External_Run_MOMMY
from haar_surround_feature import External_Run_HSF from haar_surround_feature import External_Run_HSF
from blob import * from blob import *
from ransac import * from ransac import *
@ -135,6 +136,7 @@ class EyeProcessor:
self.er_hsf = None self.er_hsf = None
self.er_hsrac = None self.er_hsrac = None
self.er_daddy = None self.er_daddy = None
self.er_mommy = None
self.ibo = IntensityBasedOpeness(self.eye_id) self.ibo = IntensityBasedOpeness(self.eye_id)
self.roi_include_set = {"rotation_angle", "roi_window_x", "roi_window_y"} self.roi_include_set = {"rotation_angle", "roi_window_x", "roi_window_y"}
@ -286,10 +288,18 @@ class EyeProcessor:
def BLINKM(self): def BLINKM(self):
self.eyeopen = BLINK(self) self.eyeopen = BLINK(self)
def MOMMYM(self):
self.thresh = self.current_image_gray.copy()
self.current_image_gray, self.rawx, self.rawy, self.eyeopen = self.er_mommy.run(self.current_image_gray)
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.MOMMY
def DADDYM(self): def DADDYM(self):
# todo: We should have a proper variable for drawing. # todo: We should have a proper variable for drawing.
#self.thresh = self.current_image_gray.copy()
self.thresh = self.current_image_gray.copy() self.thresh = self.current_image_gray.copy()
self.rawx, self.rawy, self.eyeopen, self.radius = self.er_daddy.run( self.rawx, self.rawy, self.radius = self.er_daddy.run(
self.current_image_gray self.current_image_gray
) )
# Daddy also uses a one euro filter, so I'll have to use it twice, but I'm not going to think too much about it. # Daddy also uses a one euro filter, so I'll have to use it twice, but I'm not going to think too much about it.
@ -406,6 +416,11 @@ class EyeProcessor:
if self.failed == 4 and self.fithalgo != None: if self.failed == 4 and self.fithalgo != None:
self.fithalgo() self.fithalgo()
else:
self.failed = self.failed + 1
if self.failed == 5 and self.sixthalgo != None:
self.sixthalgo()
else: else:
self.failed = 0 # we have reached last possible algo and it is disabled, move to first algo self.failed = 0 # we have reached last possible algo and it is disabled, move to first algo
@ -419,7 +434,8 @@ class EyeProcessor:
self.thirdalgo = None self.thirdalgo = None
self.fourthalgo = None self.fourthalgo = None
self.fithalgo = None self.fithalgo = None
algolist = [None, None, None, None, None, None] self.sixthalgo = None
algolist = [None, None, None, None, None, None, None]
# clear HSF values when page is opened to correctly reflect setting changes # clear HSF values when page is opened to correctly reflect setting changes
self.er_hsf = None self.er_hsf = None
@ -477,6 +493,14 @@ class EyeProcessor:
if self.er_daddy is not None: if self.er_daddy is not None:
self.er_daddy = None self.er_daddy = None
if self.settings.gui_MOMMY:
if self.er_mommy is None:
self.er_mommy = External_Run_MOMMY()
algolist[self.settings.gui_MOMMY] = self.MOMMYM
else:
if self.er_mommy is not None:
self.er_mommy = None
if self.settings.gui_RANSAC3D: if self.settings.gui_RANSAC3D:
algolist[self.settings.gui_RANSAC3DP] = self.RANSAC3DM algolist[self.settings.gui_RANSAC3DP] = self.RANSAC3DM
@ -490,6 +514,7 @@ class EyeProcessor:
self.thirdalgo, self.thirdalgo,
self.fourthalgo, self.fourthalgo,
self.fithalgo, self.fithalgo,
self.sixthalgo,
) = algolist ) = algolist
f = True f = True
@ -506,7 +531,6 @@ class EyeProcessor:
if self.cancellation_event.wait(0.1): if self.cancellation_event.wait(0.1):
return return
continue continue
# If our ROI configuration has changed, reset our model and detector # If our ROI configuration has changed, reset our model and detector
if ( if (
self.camera_model is None self.camera_model is None

188
EyeTrackApp/mommy.py Normal file
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@ -0,0 +1,188 @@
"""
------------------------------------------------------------------------------------------------------
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MOMMY by: Prohurtz
Algorithm App Implementation By: Prohurtz
Copyright (c) 2023 EyeTrackVR <3
------------------------------------------------------------------------------------------------------
"""
# MOMMY = Model for Observing Mindful Movement of Your Eyes
import os
os.environ["OMP_NUM_THREADS"] = "1"
import onnxruntime
import numpy as np
from PIL import Image
import torchvision.transforms as transforms
import cv2
import time
import math
from queue import Queue
import threading
from one_euro_filter import OneEuroFilter
frame_count = 0
start_time = time.time()
frames = 0
def run_model(input_queue, output_queue, session):
while True:
frame = input_queue.get()
if frame is None:
break
to_tensor = transforms.ToTensor()
img_tensor = to_tensor(frame)
img_tensor.unsqueeze_(0)
img_np = img_tensor.numpy()
ort_inputs = {session.get_inputs()[0].name: img_np}
pre_landmark = session.run(None, ort_inputs)
pre_landmark = pre_landmark[1]
pre_landmark = np.reshape(pre_landmark, (22, 2))
output_queue.put((frame, pre_landmark))
class MOMMY_C(object):
def __init__(self):
onnxruntime.disable_telemetry_events()
opts = onnxruntime.SessionOptions()
opts.inter_op_num_threads = 4
opts.intra_op_num_threads = 1 # 1 = 30fps 2 =60 fps #TODO: add to settings page
# ort_session = onnxruntime.InferenceSession("pfld.onnx")
opts.graph_optimization_level = onnxruntime.GraphOptimizationLevel.ORT_ENABLE_ALL
self.ort_session = onnxruntime.InferenceSession("Models/mommy062023.onnx", opts, providers=['CPUExecutionProvider'])
min_cutoff = 0.04
beta = 0.9
# print(np.random.rand(22, 2))
# noisy_point = np.array([1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1])
one_euro_filter = OneEuroFilter(
np.random.rand(22, 2),
min_cutoff=min_cutoff,
beta=beta
)
self.dmax = 0
self.dmin = 0
self.x = 0
self.y = 0
self.num_threads = 2
self.output_queue = Queue(maxsize=self.num_threads + 4) # can be adjusted
self.queues = []
self.num_threads = 2
self.output_queue = Queue(maxsize=self.num_threads + 4) # can be adjusted
for _ in range(self.num_threads):
self.queue = Queue(maxsize=self.num_threads + 4)
self.queues.append(self.queue)
opts = onnxruntime.SessionOptions()
opts.inter_op_num_threads = 1
opts.intra_op_num_threads = 1
opts.graph_optimization_level = onnxruntime.GraphOptimizationLevel.ORT_ENABLE_ALL
opts.optimized_model_filepath = ''
self.ort_session1 = onnxruntime.InferenceSession(
"Models/mommy062023.onnx", opts,
providers=['CPUExecutionProvider'])
# ort_session1 = onnxruntime.InferenceSession("C:/Users/beaul/PycharmProjects/EyeTrackVR/EyeTrackApp/Models/mommy062023.onnx", opts, providers=['DmlExecutionProvider'])
threads = []
for i in range(self.num_threads):
thread = threading.Thread(target=run_model, args=(self.queues[i], self.output_queue, self.ort_session1),
name=f"Thread {i}")
threads.append(thread)
thread.start()
cap = cv2.VideoCapture('DikablisSA_2_1.mp4')
frames = 0
start_time = time.time()
interval = 1 # Time interval in seconds
def to_numpy(self, tensor):
return tensor.detach().cpu().numpy() if tensor.requires_grad else tensor.cpu().numpy()
def run_onnx_model(self, queues, session, frame):
for i in range(len(queues)):
if not queues[i].full():
queues[i].put(frame)
break
def mommy_run(self):
img = self.current_image_gray.copy()
img = cv2.cvtColor(img, cv2.COLOR_GRAY2RGB)
# img = imutils.rotate(img, angle=320)
img_height, img_width = img.shape[:2] # Move outside the loop
frame = cv2.resize(img, (112, 112))
self.run_onnx_model(self.queues, self.ort_session1, frame)
if not self.output_queue.empty():
frame, pre_landmark = self.output_queue.get()
# frame = cv2.resize(frame, (112, 112))
for point in pre_landmark:
x, y = point
cv2.circle(img, (int(x * img_width), int(y * img_height)), 2, (0, 0, 50), -1)
cv2.circle(img, tuple(int(x*112) for x in pre_landmark[4]), 1, (255, 255, 0), -1)
cv2.circle(img, tuple(int(x*112) for x in pre_landmark[12]), 1, (255, 255, 0), -1)
cv2.circle(img, tuple(int(x*112) for x in pre_landmark[17]), 1, (255, 255, 255), -1)
# print(pre_landmark)
d = math.dist(pre_landmark[4], pre_landmark[12])
if d > self.dmax:
self.dmax = d
if d < self.dmin:
self.dmin = d
try:
per = (((d - self.dmax)) / (self.dmin - self.dmax))
per = 1 - per
except:
pass
x = pre_landmark[17][0]
y = pre_landmark[17][1]
frame = cv2.cvtColor(img, cv2.COLOR_RGB2GRAY)
return frame, x, y, per
frame = cv2.cvtColor(img, cv2.COLOR_RGB2GRAY)
return frame, 0, 0, 0
class External_Run_MOMMY(object):
def __init__(self):
self.algo = MOMMY_C()
def run(self, current_image_gray):
self.algo.current_image_gray = current_image_gray
img, x, y, per = self.algo.mommy_run()
return img, x, y, per

561
poetry.lock generated
View File

@ -191,78 +191,62 @@ cron = ["capturer (>=2.4)"]
[[package]] [[package]]
name = "contourpy" name = "contourpy"
version = "1.0.7" version = "1.1.0"
description = "Python library for calculating contours of 2D quadrilateral grids" description = "Python library for calculating contours of 2D quadrilateral grids"
category = "main" category = "main"
optional = false optional = false
python-versions = ">=3.8" python-versions = ">=3.8"
files = [ files = [
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View File

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matplotlib = "~3.7.1" matplotlib = "~3.7.1"
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