mirror of
https://github.com/EyeTrackVR/EyeTrackVR.git
synced 2025-11-04 14:39:42 +08:00
631 lines
26 KiB
Python
631 lines
26 KiB
Python
import PySimpleGUI as sg
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from config import EyeTrackConfig
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from config import EyeTrackSettingsConfig
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from collections import deque
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from threading import Event, Thread
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from eye_processor import EyeProcessor, EyeInfoOrigin
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from enum import Enum
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from queue import Queue, Empty
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from camera import Camera, CameraState
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from osc import EyeId
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import cv2
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import sys
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from utils.misc_utils import PlaySound, SND_FILENAME, SND_ASYNC, resource_path
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import traceback
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import math
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import numpy as np
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class CameraWidget:
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def __init__(self, widget_id: EyeId, main_config: EyeTrackConfig, osc_queue: Queue):
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self.gui_camera_addr = f"-CAMERAADDR{widget_id}-"
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self.gui_rotation_slider = f"-ROTATIONSLIDER{widget_id}-"
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self.gui_rotation_ui_padding = f"-ROTATIONUIPADDING{widget_id}-"
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self.gui_roi_button = f"-ROIMODE{widget_id}-"
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self.gui_roi_layout = f"-ROILAYOUT{widget_id}-"
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self.gui_roi_selection = f"-GRAPH{widget_id}-"
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self.gui_tracking_button = f"-TRACKINGMODE{widget_id}-"
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self.gui_save_tracking_button = f"-SAVETRACKINGBUTTON{widget_id}-"
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self.gui_tracking_layout = f"-TRACKINGLAYOUT{widget_id}-"
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self.gui_tracking_image = f"-IMAGE{widget_id}-"
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self.gui_tracking_fps = f"-TRACKINGFPS{widget_id}-"
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self.gui_tracking_bps = f"-TRACKINGBPS{widget_id}-"
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self.gui_output_graph = f"-OUTPUTGRAPH{widget_id}-"
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self.gui_restart_calibration = f"-RESTARTCALIBRATION{widget_id}-"
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self.gui_stop_calibration = f"-STOPCALIBRATION{widget_id}-"
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self.gui_recenter_eyes = f"-RECENTEREYES{widget_id}-"
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self.gui_mode_readout = f"-APPMODE{widget_id}-"
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self.gui_roi_message = f"-ROIMESSAGE{widget_id}-"
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self.gui_mask_markup = f"-MARKUP{widget_id}-"
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self.gui_mask_lighten = f"-LIGHTEN{widget_id}-"
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self.last_eye_info = None
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self.osc_queue = osc_queue
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self.main_config = main_config
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self.eye_id = widget_id
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self.settings_config = main_config.settings
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self.configl = main_config.left_eye
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self.configr = main_config.right_eye
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self.settings = main_config.settings
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if self.eye_id == EyeId.RIGHT:
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self.config = main_config.right_eye
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elif self.eye_id == EyeId.LEFT:
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self.config = main_config.left_eye
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else:
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raise RuntimeError(
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"\033[91m[WARN] Cannot have a camera widget represent both eyes!\033[0m"
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)
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self.cancellation_event = Event()
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# Set the event until start is called, otherwise we can block if shutdown is called.
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self.cancellation_event.set()
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self.capture_event = Event()
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self.capture_queue = Queue()
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self.roi_queue = Queue()
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self.image_queue = Queue()
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self.ransac = EyeProcessor(
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self.config,
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self.settings_config,
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main_config,
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self.cancellation_event,
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self.capture_event,
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self.capture_queue,
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self.image_queue,
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self.eye_id,
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)
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self.camera_status_queue = Queue()
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self.camera = Camera(
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self.config,
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0,
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self.cancellation_event,
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self.capture_event,
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self.camera_status_queue,
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self.capture_queue,
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)
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self.roi_layout = [
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[
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sg.Button(
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"Mark Out",
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key=self.gui_mask_markup,
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button_color="#6f4ca1",
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tooltip="Mark out stuff that is not your eye.",
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),
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sg.Button(
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"Lighten",
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key=self.gui_mask_lighten,
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button_color="#6f4ca1",
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tooltip="Lighten shadowed areas.",
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),
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sg.Checkbox(
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"Camera Widget Padding",
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default=self.config.gui_rotation_ui_padding,
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tooltip="Pad the camera view widget enough to allow a full rotation.",
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key=self.gui_rotation_ui_padding,
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background_color="#424042",
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),
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],
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[
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sg.Graph(
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(640, 480),
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(0, 480),
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(640, 0),
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key=self.gui_roi_selection,
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drag_submits=True,
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enable_events=True,
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motion_events=True,
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background_color="#424042",
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),
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],
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]
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# Define the window's contents
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self.tracking_layout = [
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[
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sg.Button(
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"Start Calibration",
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key=self.gui_restart_calibration,
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button_color="#6f4ca1",
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tooltip="Start eye calibration. Look all arround to all extreams without blinking until sound is heard.",
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),
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sg.Button(
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"Stop Calibration",
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key=self.gui_stop_calibration,
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button_color="#6f4ca1",
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tooltip="Stop eye calibration manualy.",
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),
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sg.Button(
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"Recenter Eyes",
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key=self.gui_recenter_eyes,
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button_color="#6f4ca1",
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tooltip="Make your eyes center again.",
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),
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],
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[
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sg.Text("Mode:", background_color="#424042"),
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sg.Text(
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"Calibrating", key=self.gui_mode_readout, background_color="#424042"
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),
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sg.Text("", key=self.gui_tracking_fps, background_color="#424042"),
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sg.Text("", key=self.gui_tracking_bps, background_color="#424042"),
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# sg.Checkbox(
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# "Circle crop:",
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# default=self.config.gui_circular_crop,
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# key=self.gui_circular_crop,
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# background_color='#424042',
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# tooltip = "Circle crop only applies to RANSAC3D and Blob.",
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# ),
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],
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[sg.Image(filename="", key=self.gui_tracking_image)],
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[
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sg.Graph(
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(200, 200),
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(-100, 100),
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(100, -100),
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background_color="white",
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key=self.gui_output_graph,
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drag_submits=True,
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enable_events=True,
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),
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sg.Text(
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"Please set an Eye Cropping.",
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key=self.gui_roi_message,
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background_color="#424042",
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visible=False,
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),
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],
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]
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self.widget_layout = [
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[
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sg.Text("Camera Address", background_color="#424042"),
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sg.InputText(
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self.config.capture_source,
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key=self.gui_camera_addr,
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tooltip="Enter the IP address or UVC port of your camera. (Include the 'http://')",
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),
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],
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[
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sg.Button(
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"Save and Restart Tracking",
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key=self.gui_save_tracking_button,
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button_color="#6f4ca1",
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),
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],
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[
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sg.Button(
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"Tracking Mode",
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key=self.gui_tracking_button,
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button_color="#6f4ca1",
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tooltip="Go here to track your eye.",
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),
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sg.Button(
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"Cropping Mode",
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key=self.gui_roi_button,
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button_color="#6f4ca1",
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tooltip="Go here to crop out your eye.",
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),
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],
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[
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sg.Text("Rotation", background_color="#424042"),
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sg.Slider(
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range=(0, 360),
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default_value=self.config.rotation_angle,
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orientation="h",
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key=self.gui_rotation_slider,
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background_color="#424042",
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tooltip="Adjust the rotation of your cameras, make them level.",
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),
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],
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[
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sg.Column(
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self.tracking_layout,
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key=self.gui_tracking_layout,
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background_color="#424042",
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),
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sg.Column(
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self.roi_layout,
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key=self.gui_roi_layout,
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background_color="#424042",
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visible=False,
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),
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],
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]
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self.hover_x, self.hover_y = None, None
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# cartesian co-ordinates in widget space are used during selection
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self.x0, self.y0 = None, None
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self.x1, self.y1 = None, None
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self.cartesian_needs_update = False
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# polar co-ordinates from the image center are the canonical representation
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self.cr, self.ca = None, None
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self.w, self.h = None, None
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self.clip_w, self.clip_h = None, None
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self.clip_left, self.clip_top = None, None
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self.pad_w, self.pad_h = None, None
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self.pad_left, self.pad_top = None, None
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self.roi_image_center = (None, None)
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self.is_mouse_up = True
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self.in_roi_mode = False
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self.movavg_fps_queue = deque(maxlen=120)
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self.movavg_bps_queue = deque(maxlen=120)
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def _movavg_fps(self, next_fps):
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self.movavg_fps_queue.append(next_fps)
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fps = round(sum(self.movavg_fps_queue) / len(self.movavg_fps_queue))
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millisec = round((1 / fps if fps else 0) * 1000)
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return f"{fps} Fps {millisec} ms"
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def _movavg_bps(self, next_bps):
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self.movavg_bps_queue.append(next_bps)
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return f"{sum(self.movavg_bps_queue) / len(self.movavg_bps_queue) * 0.001 * 0.001 * 8:.3f} Mbps"
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def _cartesian_to_polar(self):
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if None not in (self.x0, self.y0, self.x1, self.y1):
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image_center_x, image_center_y = self.roi_image_center
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roi_center_x = image_center_x - (self.x0 + self.x1) / 2.
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roi_center_y = image_center_y - (self.y0 + self.y1) / 2.
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self.cr = (roi_center_x**2 + roi_center_y**2)**0.5
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self.ca = math.atan2(roi_center_x, roi_center_y) - \
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math.radians(self.config.rotation_angle)
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self.w = abs(self.x1 - self.x0)
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self.h = abs(self.y1 - self.y0)
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def _polar_to_cartesian_at_angle(self, rotation_angle_radians):
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if None not in (self.cr, self.ca, self.w, self.h):
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image_center_x, image_center_y = self.roi_image_center
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ca = self.ca + rotation_angle_radians
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cx = -math.sin(ca) * self.cr + image_center_x
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cy = -math.cos(ca) * self.cr + image_center_y
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return ((int(cx - self.w/2), int(cy - self.h/2)),
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(int(cx + self.w/2), int(cy + self.h/2)))
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else:
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return 4 * (None,)
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def _polar_to_cartesian(self):
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if None not in (self.cr, self.ca, self.w, self.h):
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(self.x0, self.y0), (self.x1, self.y1) = \
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self._polar_to_cartesian_at_angle(
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math.radians(self.config.rotation_angle))
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def started(self):
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return not self.cancellation_event.is_set()
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def start(self):
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# If we're already running, bail
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if not self.cancellation_event.is_set():
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return
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self.cancellation_event.clear()
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self.ransac_thread = Thread(target=self.ransac.run)
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self.ransac_thread.start()
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self.camera_thread = Thread(target=self.camera.run)
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self.camera_thread.start()
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def stop(self):
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# If we're not running yet, bail
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if self.cancellation_event.is_set():
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return
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self.cancellation_event.set()
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self.ransac_thread.join()
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self.camera_thread.join()
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def render(self, window, event, values):
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changed = False
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# If anything has changed in our configuration settings, change/update those.
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if (
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event == self.gui_save_tracking_button
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and values[self.gui_camera_addr] != self.config.capture_source
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):
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print(
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"\033[94m[INFO] New value: {}\033[0m".format(
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values[self.gui_camera_addr]
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)
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)
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try:
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# Try storing ints as ints, for those using wired cameras.
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self.config.capture_source = int(values[self.gui_camera_addr])
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except ValueError:
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if values[self.gui_camera_addr] == "":
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self.config.capture_source = None
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else:
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if (
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len(values[self.gui_camera_addr]) > 5
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and "http" not in values[self.gui_camera_addr]
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and ".mp4" not in values[self.gui_camera_addr]
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): # If http is not in camera address, add it.
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self.config.capture_source = (
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f"http://{values[self.gui_camera_addr]}/"
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)
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else:
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self.config.capture_source = values[self.gui_camera_addr]
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changed = True
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if self.config.rotation_angle != int(values[self.gui_rotation_slider]):
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self.config.rotation_angle = int(values[self.gui_rotation_slider])
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changed = True
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self.cartesian_needs_update = True
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if self.config.gui_rotation_ui_padding != bool(values[self.gui_rotation_ui_padding]):
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self.config.gui_rotation_ui_padding = bool(values[self.gui_rotation_ui_padding])
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changed = True
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self.cartesian_needs_update = True
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# if self.config.gui_circular_crop != values[self.gui_circular_crop]:
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# self.config.gui_circular_crop = values[self.gui_circular_crop]
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# changed = True
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if changed:
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self.main_config.save()
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if event == self.gui_tracking_button:
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print("\033[94m[INFO] Moving to tracking mode\033[0m")
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self.in_roi_mode = False
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self.camera.set_output_queue(self.capture_queue)
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window[self.gui_roi_layout].update(visible=False)
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window[self.gui_tracking_layout].update(visible=True)
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if event == self.gui_roi_button:
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print("\033[94m[INFO] Move to roi mode\033[0m")
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self.in_roi_mode = True
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self.camera.set_output_queue(self.roi_queue)
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window[self.gui_roi_layout].update(visible=True)
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window[self.gui_tracking_layout].update(visible=False)
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if event == "{}+UP".format(self.gui_roi_selection):
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# Event for mouse button up in ROI mode
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self.is_mouse_up = True
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print("UP")
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self.x0 = np.clip(self.x0, self.clip_left, self.clip_left + self.clip_w)
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self.y0 = np.clip(self.y0, self.clip_top, self.clip_top + self.clip_h)
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self.x1 = np.clip(self.x1, self.clip_left, self.clip_left + self.clip_w)
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self.y1 = np.clip(self.y1, self.clip_top, self.clip_top + self.clip_h)
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self._cartesian_to_polar()
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if abs(self.x0 - self.x1) != 0 and abs(self.y0 - self.y1) != 0:
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(x0, y0), (x1, y1) = self._polar_to_cartesian_at_angle(0)
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self.config.roi_window_x = min([x0, x1]) - self.pad_left
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self.config.roi_window_y = min([y0, y1]) - self.pad_top
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self.config.roi_window_w = abs(x0 - x1)
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self.config.roi_window_h = abs(y0 - y1)
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self.main_config.save()
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if event == self.gui_roi_selection:
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# Event for mouse button down or mouse drag in ROI mode
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(self.hover_x, self.hover_y) = (None, None)
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if self.is_mouse_up:
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self.is_mouse_up = False
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self.x0, self.y0 = values[self.gui_roi_selection]
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self.x1, self.y1 = values[self.gui_roi_selection]
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self._cartesian_to_polar()
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if event == "{}+MOVE".format(self.gui_roi_selection):
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if self.is_mouse_up:
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(self.hover_x, self.hover_y) = values[self.gui_roi_selection]
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if self.hover_x > self.pad_w or self.hover_y > self.pad_h:
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(self.hover_x, self.hover_y) = (None, None)
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if event == self.gui_restart_calibration:
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self.ransac.calibration_frame_counter = self.settings.calibration_samples
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self.ransac.ibo.clear_filter()
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PlaySound(resource_path("Audio/start.wav"), SND_FILENAME | SND_ASYNC)
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if event == self.gui_stop_calibration:
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self.ransac.calibration_frame_counter = 0
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if event == self.gui_recenter_eyes:
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self.settings.gui_recenter_eyes = True
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needs_roi_set = self.config.roi_window_h <= 0 or self.config.roi_window_w <= 0
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# TODO: Refactor if statements below...
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window[self.gui_tracking_fps].update("")
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window[self.gui_tracking_bps].update("")
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if self.config.capture_source is None or self.config.capture_source == "":
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window[self.gui_mode_readout].update("Waiting for camera address")
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window[self.gui_roi_message].update(visible=False)
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window[self.gui_output_graph].update(visible=False)
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elif self.camera.camera_status == CameraState.CONNECTING:
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window[self.gui_mode_readout].update("Camera Connecting")
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elif self.camera.camera_status == CameraState.DISCONNECTED:
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window[self.gui_mode_readout].update("Camera Reconnecting...")
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elif needs_roi_set:
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window[self.gui_mode_readout].update("Awaiting Eye Crop")
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elif self.ransac.calibration_frame_counter != None:
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window[self.gui_mode_readout].update("Calibration")
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else:
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window[self.gui_mode_readout].update("Tracking")
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window[self.gui_tracking_fps].update(self._movavg_fps(self.camera.fps))
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window[self.gui_tracking_bps].update(self._movavg_bps(self.camera.bps))
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if event == self.gui_mask_lighten:
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while True:
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try:
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maybe_image = self.roi_queue.get(block=False)
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imgbytes = cv2.imencode(".ppm", maybe_image[0])[1].tobytes()
|
|
image = cv2.imdecode(
|
|
np.frombuffer(imgbytes, np.uint8), cv2.IMREAD_COLOR
|
|
)
|
|
|
|
cv2.imshow("Image", image)
|
|
cv2.waitKey(1)
|
|
cv2.destroyAllWindows()
|
|
print("lighen")
|
|
except Empty:
|
|
pass
|
|
if event == self.gui_mask_markup:
|
|
print("markup")
|
|
|
|
if self.in_roi_mode:
|
|
try:
|
|
if self.roi_queue.empty():
|
|
self.capture_event.set()
|
|
maybe_image = self.roi_queue.get(block=False)
|
|
|
|
if maybe_image:
|
|
image = maybe_image[0]
|
|
|
|
img_w, img_h, _ = image.shape
|
|
|
|
hyp = math.ceil((img_w**2 + img_h**2)**0.5)
|
|
rotation_matrix = cv2.getRotationMatrix2D(
|
|
((img_w/2), (img_h/2)), self.config.rotation_angle, 1
|
|
)
|
|
|
|
# calculate position of all four corners of image
|
|
|
|
# calculate crop corner locations in original image space
|
|
x_coords, y_coords = np.matmul(
|
|
rotation_matrix,
|
|
np.transpose([
|
|
[0, 0, 1],
|
|
[img_w, 0, 1],
|
|
[0, img_h, 1],
|
|
[img_w, img_h, 1]]),
|
|
)
|
|
|
|
self.clip_w = math.ceil(max(x_coords) - min(x_coords))
|
|
self.clip_h = math.ceil(max(y_coords) - min(y_coords))
|
|
if self.config.gui_rotation_ui_padding:
|
|
self.pad_w = hyp
|
|
self.pad_h = hyp
|
|
else:
|
|
self.pad_w = self.clip_w
|
|
self.pad_h = self.clip_h
|
|
|
|
|
|
self.pad_left = round((self.pad_w - img_w)/2)
|
|
self.pad_top = round((self.pad_h - img_h)/2)
|
|
|
|
self.clip_left = round((self.pad_w - self.clip_w)/2)
|
|
self.clip_top = round((self.pad_h - self.clip_h)/2)
|
|
|
|
self.roi_image_center = (self.pad_w / 2, self.pad_h / 2)
|
|
|
|
# deferred to after roi_image_center is updated
|
|
if self.cartesian_needs_update:
|
|
self._polar_to_cartesian()
|
|
self.cartesian_needs_update = False
|
|
|
|
pad_matrix = np.float32([[1, 0, self.pad_left],
|
|
[0, 1, self.pad_top],
|
|
[0, 0, 1]])
|
|
rotation_matrix_padded = cv2.getRotationMatrix2D(
|
|
self.roi_image_center, self.config.rotation_angle, 1
|
|
)
|
|
matrix = np.matmul(rotation_matrix_padded, pad_matrix)
|
|
|
|
image = cv2.warpAffine(
|
|
image,
|
|
matrix,
|
|
(self.pad_w, self.pad_h),
|
|
borderMode=cv2.BORDER_CONSTANT,
|
|
borderValue=(128, 128, 128),
|
|
)
|
|
|
|
maybe_image = (image, *maybe_image[1:])
|
|
|
|
imgbytes = cv2.imencode(".ppm", maybe_image[0])[1].tobytes()
|
|
graph = window[self.gui_roi_selection]
|
|
# INCREDIBLY IMPORTANT ERASE. Drawing images does NOT overwrite the buffer, the fucking
|
|
# graph keeps every image fed in until you call this. Therefore we have to make sure we
|
|
# erase before we redraw, otherwise we'll leak memory *very* quickly.
|
|
graph.erase()
|
|
graph.draw_image(data=imgbytes, location=(0, 0))
|
|
|
|
def make_dashed(spawn_item, dark="#000000", light="#ffffff", duty=1):
|
|
pixel_duty = math.floor(4 * duty)
|
|
for (color, dashoffset) in [(dark, 0), (light, 4)]:
|
|
item = spawn_item(color)
|
|
graph._TKCanvas2.itemconfig(item, dash=(pixel_duty, 8 - pixel_duty), dashoffset=dashoffset)
|
|
|
|
if None not in (self.x0, self.y0, self.x1, self.y1):
|
|
style = {}
|
|
if self.is_mouse_up:
|
|
style = {"dark": "#7f78ff", "light": "#d002ff", "duty": 0.5}
|
|
make_dashed(lambda color: graph.draw_rectangle(
|
|
(self.x0, self.y0), (self.x1, self.y1), line_color=color,
|
|
), **style)
|
|
if self.is_mouse_up and None not in (self.hover_x, self.hover_y):
|
|
make_dashed(lambda color: graph.draw_line(
|
|
(self.hover_x, 0), (self.hover_x, self.pad_h), color=color
|
|
))
|
|
make_dashed(lambda color: graph.draw_line(
|
|
(0, self.hover_y), (self.pad_w, self.hover_y), color=color
|
|
))
|
|
|
|
except Empty:
|
|
pass
|
|
else:
|
|
if needs_roi_set:
|
|
window[self.gui_roi_message].update(visible=True)
|
|
window[self.gui_output_graph].update(visible=False)
|
|
return
|
|
try:
|
|
window[self.gui_roi_message].update(visible=False)
|
|
window[self.gui_output_graph].update(visible=True)
|
|
(maybe_image, eye_info) = self.image_queue.get(block=False)
|
|
|
|
imgbytes = cv2.imencode(".ppm", maybe_image)[1].tobytes()
|
|
window[self.gui_tracking_image].update(data=imgbytes)
|
|
|
|
# Update the GUI
|
|
graph = window[self.gui_output_graph]
|
|
graph.erase()
|
|
|
|
if (
|
|
eye_info.info_type != EyeInfoOrigin.FAILURE
|
|
): # and not eye_info.blink:
|
|
graph.update(background_color="white")
|
|
if not np.isnan(eye_info.x) and not np.isnan(eye_info.y):
|
|
|
|
graph.draw_circle(
|
|
(eye_info.x * -100, eye_info.y * -100),
|
|
eye_info.pupil_dilation * 25,
|
|
fill_color="black",
|
|
line_color="white",
|
|
)
|
|
else:
|
|
graph.draw_circle(
|
|
(0.0 * -100, 0.0 * -100),
|
|
20,
|
|
fill_color="black",
|
|
line_color="white",
|
|
)
|
|
|
|
if not np.isnan(eye_info.blink):
|
|
|
|
graph.draw_line(
|
|
(-100, abs(eye_info.blink) * 2 * 200),
|
|
(-100, 100),
|
|
color="#6f4ca1",
|
|
width=10,
|
|
)
|
|
else:
|
|
graph.draw_line(
|
|
(-100, 0.5 * 200), (-100, 100), color="#6f4ca1", width=10
|
|
)
|
|
|
|
if eye_info.blink <= 0.0:
|
|
graph.update(background_color="#6f4ca1")
|
|
|
|
elif eye_info.info_type == EyeInfoOrigin.FAILURE:
|
|
graph.update(background_color="red")
|
|
# Relay information to OSC
|
|
if eye_info.info_type != EyeInfoOrigin.FAILURE:
|
|
self.osc_queue.put((self.eye_id, eye_info))
|
|
except Empty:
|
|
pass
|