diff --git a/EyeTrackApp/algo_settings_widget.py b/EyeTrackApp/algo_settings_widget.py index dc244b4..a90648a 100644 --- a/EyeTrackApp/algo_settings_widget.py +++ b/EyeTrackApp/algo_settings_widget.py @@ -21,6 +21,8 @@ class AlgoSettingsWidget: self.gui_HSF = f"-HSF{widget_id}-" self.gui_DADDY = f"-DADDY{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_BLINK = f"-BLINK{widget_id}-" self.gui_IBO = f"-IBO{widget_id}-" @@ -131,6 +133,24 @@ class AlgoSettingsWidget: 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( "", default=self.config.gui_BLOB, @@ -349,6 +369,15 @@ class AlgoSettingsWidget: self.config.gui_HSRAC = values[self.gui_HSRAC] 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]: self.config.gui_skip_autoradius = values[self.gui_skip_autoradius] changed = True diff --git a/EyeTrackApp/camera.py b/EyeTrackApp/camera.py index 7df468e..61364d7 100644 --- a/EyeTrackApp/camera.py +++ b/EyeTrackApp/camera.py @@ -5,11 +5,11 @@ import serial import serial.tools.list_ports import threading import time - +import asyncio from colorama import Fore from config import EyeTrackConfig from enum import Enum - +import concurrent.futures WAIT_TIME = 0.1 # Serial communication protocol: @@ -48,7 +48,8 @@ class Camera: self.cancellation_event = cancellation_event self.current_capture_source = config.capture_source 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.last_frame_time = time.time() self.frame_number = 0 @@ -70,6 +71,35 @@ class Camera: def set_output_queue(self, camera_output_outgoing: "queue.Queue"): 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): while True: if self.cancellation_event.is_set(): @@ -81,7 +111,8 @@ class Camera: if ( 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 ( self.serial_connection is None @@ -95,16 +126,19 @@ class Camera: if ( self.cv2_camera is None 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 ): + print(self.error_message.format(self.config.capture_source)) # This requires a wait, otherwise we can error and possible screw up the camera # firmware. Fickle things. if self.cancellation_event.wait(WAIT_TIME): return 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 else: # 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 we get all the way down here, consider ourselves connected self.camera_status = CameraState.CONNECTED - def get_cv2_camera_picture(self, should_push): try: ret, image = self.cv2_camera.read() if not ret: self.cv2_camera.set(cv2.CAP_PROP_POS_FRAMES, 0) raise RuntimeError("Problem while getting frame") + self.newft = time.time() frame_number = self.cv2_camera.get(cv2.CAP_PROP_POS_FRAMES) # Calculate the fps. current_frame_time = time.time() @@ -140,16 +174,18 @@ class Camera: self.bps = len(image) / delta_time self.frame_number = self.frame_number + 1 self.fps = (self.fps + self.pf_fps) / 2 - self.newft = time.time() - self.fps = 1 / (self.newft - self.prevft) - self.prevft = self.newft - self.fps = int(self.fps) - if len(self.fl) < 60: - self.fl.append(self.fps) + if self.newft != self.prevft: + self.fps = 1 / (self.newft - self.prevft) + self.prevft = self.newft + self.fps = int(self.fps) + if len(self.fl) < 60: + self.fl.append(self.fps) + else: + self.fl.pop(0) + self.fl.append(self.fps) + self.fps = sum(self.fl) / len(self.fl) else: - self.fl.pop(0) - self.fl.append(self.fps) - self.fps = sum(self.fl) / len(self.fl) + self.fps = 69 #self.bps = image.nbytes if should_push: self.push_image_to_queue(image, frame_number, self.fps) diff --git a/EyeTrackApp/camera_widget.py b/EyeTrackApp/camera_widget.py index 4e09e85..6cb7292 100644 --- a/EyeTrackApp/camera_widget.py +++ b/EyeTrackApp/camera_widget.py @@ -282,7 +282,6 @@ class CameraWidget: # TODO: Refactor if statements below... window[self.gui_tracking_fps].update('') window[self.gui_tracking_bps].update('') - 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_roi_message].update(visible=False) @@ -291,6 +290,7 @@ class CameraWidget: window[self.gui_mode_readout].update("Camera Connecting") elif self.camera.camera_status == CameraState.DISCONNECTED: window[self.gui_mode_readout].update("Camera Reconnecting...") + elif needs_roi_set: window[self.gui_mode_readout].update("Awaiting Eye Crop") elif self.ransac.calibration_frame_counter != None: diff --git a/EyeTrackApp/config.py b/EyeTrackApp/config.py index 54ef2a8..c0d5988 100644 --- a/EyeTrackApp/config.py +++ b/EyeTrackApp/config.py @@ -36,6 +36,7 @@ class EyeTrackSettingsConfig(BaseModel): gui_BLINK: bool = False gui_HSRAC: bool = True gui_DADDY: bool = False + gui_MOMMY: bool = False gui_HSF_radius: int = 15 gui_HSF_radius_left: int = 10 gui_HSF_radius_right: int = 10 @@ -57,6 +58,7 @@ class EyeTrackSettingsConfig(BaseModel): gui_DADDYP: int = 3 gui_RANSAC3DP: int = 4 gui_BLOBP: int = 5 + gui_MOMMYP: int = 6 gui_IBO: bool = True gui_skip_autoradius: bool = False gui_thresh_add: int = 11 diff --git a/EyeTrackApp/eye.py b/EyeTrackApp/eye.py index 9f85f64..8f62aaf 100644 --- a/EyeTrackApp/eye.py +++ b/EyeTrackApp/eye.py @@ -16,6 +16,7 @@ class EyeInfoOrigin(Enum): HSF = 4 HSRAC = 5 DADDY = 6 + MOMMY = 7 @dataclass diff --git a/EyeTrackApp/eye_processor.py b/EyeTrackApp/eye_processor.py index 6d083d7..bb7f306 100644 --- a/EyeTrackApp/eye_processor.py +++ b/EyeTrackApp/eye_processor.py @@ -52,6 +52,7 @@ import importlib from osc import EyeId from osc_calibrate_filter import * from daddy import External_Run_DADDY +from mommy import External_Run_MOMMY from haar_surround_feature import External_Run_HSF from blob import * from ransac import * @@ -135,6 +136,7 @@ class EyeProcessor: self.er_hsf = None self.er_hsrac = None self.er_daddy = None + self.er_mommy = None self.ibo = IntensityBasedOpeness(self.eye_id) self.roi_include_set = {"rotation_angle", "roi_window_x", "roi_window_y"} @@ -286,10 +288,18 @@ class EyeProcessor: def BLINKM(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): # todo: We should have a proper variable for drawing. + #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 ) # 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: self.fithalgo() + else: + self.failed = self.failed + 1 + + if self.failed == 5 and self.sixthalgo != None: + self.sixthalgo() else: 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.fourthalgo = 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 self.er_hsf = None @@ -477,6 +493,14 @@ class EyeProcessor: if self.er_daddy is not 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: algolist[self.settings.gui_RANSAC3DP] = self.RANSAC3DM @@ -490,6 +514,7 @@ class EyeProcessor: self.thirdalgo, self.fourthalgo, self.fithalgo, + self.sixthalgo, ) = algolist f = True @@ -506,7 +531,6 @@ class EyeProcessor: if self.cancellation_event.wait(0.1): return continue - # If our ROI configuration has changed, reset our model and detector if ( self.camera_model is None diff --git a/EyeTrackApp/mommy.py b/EyeTrackApp/mommy.py new file mode 100644 index 0000000..0a2fef6 --- /dev/null +++ b/EyeTrackApp/mommy.py @@ -0,0 +1,188 @@ +""" +------------------------------------------------------------------------------------------------------ + + ,@@@@@@ + @@@@@@@@@@@ @@@ + @@@@@@@@@@@@ @@@@@@@@@@@ + @@@@@@@@@@@@@ @@@@@@@@@@@@@@ + @@@@@@@/ ,@@@@@@@@@@@@@ + /@@@@@@@@@@@@@@@ @@@@@@@@ + @@@@@@@@@@@@@@@@@@@@@@@@ @@@@@ + @@@@@@@@ @@@@@ + ,@@@ @@@@& + @@@@@@. @@@@ + @@@ @@@@@@@@@/ @@@@@ + ,@@@. @@@@@@((@ @@@@( + //@@@ ,, @@@@ @@@@@ + @@@( @@@@@@@ + @@@ @ @@@@@@@@# + @@@@@@@@@@@@@@@@@ + @@@@@@@@@@@@@( + +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 \ No newline at 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