Added Identification Overlay Node
This commit is contained in:
parent
c7cbd1ae0d
commit
981d5cb573
542
Experiments/borealis_overlay.py
Normal file
542
Experiments/borealis_overlay.py
Normal file
@ -0,0 +1,542 @@
|
||||
#!/usr/bin/env python3
|
||||
|
||||
import sys
|
||||
import time
|
||||
import re
|
||||
import numpy as np
|
||||
import cv2
|
||||
import pytesseract
|
||||
|
||||
try:
|
||||
import winsound
|
||||
HAS_WINSOUND = True
|
||||
except ImportError:
|
||||
HAS_WINSOUND = False
|
||||
|
||||
from PyQt5.QtWidgets import QApplication, QWidget
|
||||
from PyQt5.QtCore import Qt, QRect, QPoint, QTimer
|
||||
from PyQt5.QtGui import QPainter, QPen, QColor, QFont
|
||||
from PIL import Image, ImageGrab, ImageFilter
|
||||
|
||||
from rich.console import Console, Group
|
||||
from rich.table import Table
|
||||
from rich.progress import Progress, BarColumn, TextColumn
|
||||
from rich.text import Text
|
||||
from rich.live import Live
|
||||
|
||||
# =============================================================================
|
||||
# Global Config
|
||||
# =============================================================================
|
||||
|
||||
pytesseract.pytesseract.tesseract_cmd = r"C:\Program Files\Tesseract-OCR\tesseract.exe"
|
||||
|
||||
POLLING_RATE_MS = 500
|
||||
MAX_DATA_POINTS = 8
|
||||
|
||||
# We still use these defaults for Region size.
|
||||
DEFAULT_WIDTH = 180
|
||||
DEFAULT_HEIGHT = 130
|
||||
HANDLE_SIZE = 8
|
||||
LABEL_HEIGHT = 20
|
||||
|
||||
GREEN_HEADER_STYLE = "bold green"
|
||||
|
||||
BEEP_INTERVAL_SECONDS = 1.0 # Only beep once every 1 second
|
||||
|
||||
# STATUS BAR AUTO-LOCATOR LOGIC (WILL BE BUILT-OUT TO BE MORE ROBUST LATER)
|
||||
TEMPLATE_PATH = "G:\\Nextcloud\\Projects\\Scripting\\bars_template.png" # Path to your bars template file
|
||||
MATCH_THRESHOLD = 0.4 # The correlation threshold to consider a "good" match
|
||||
|
||||
# =============================================================================
|
||||
# Helper Functions
|
||||
# =============================================================================
|
||||
|
||||
def beep_hp_warning():
|
||||
"""
|
||||
Only beep if enough time has elapsed since the last beep (BEEP_INTERVAL_SECONDS).
|
||||
"""
|
||||
current_time = time.time()
|
||||
if (beep_hp_warning.last_beep_time is None or
|
||||
(current_time - beep_hp_warning.last_beep_time >= BEEP_INTERVAL_SECONDS)):
|
||||
|
||||
beep_hp_warning.last_beep_time = current_time
|
||||
if HAS_WINSOUND:
|
||||
# frequency=376 Hz, duration=100 ms
|
||||
winsound.Beep(376, 100)
|
||||
else:
|
||||
# Attempt terminal bell
|
||||
print('\a', end='')
|
||||
|
||||
beep_hp_warning.last_beep_time = None
|
||||
|
||||
|
||||
def locate_bars_opencv(template_path, threshold=MATCH_THRESHOLD):
|
||||
"""
|
||||
Attempt to locate the bars via OpenCV template matching:
|
||||
1) Grab the full screen using PIL.ImageGrab.
|
||||
2) Convert to NumPy array in BGR format for cv2.
|
||||
3) Load template from `template_path`.
|
||||
4) Use cv2.matchTemplate to find the best match location.
|
||||
5) If max correlation > threshold, return (x, y, w, h).
|
||||
6) Else return None.
|
||||
"""
|
||||
# 1) Capture full screen
|
||||
screenshot_pil = ImageGrab.grab()
|
||||
screenshot_np = np.array(screenshot_pil) # shape (H, W, 4) possibly
|
||||
# Convert RGBA or RGB to BGR
|
||||
screenshot_bgr = cv2.cvtColor(screenshot_np, cv2.COLOR_RGB2BGR)
|
||||
|
||||
# 2) Load template from file
|
||||
template_bgr = cv2.imread(template_path, cv2.IMREAD_COLOR)
|
||||
if template_bgr is None:
|
||||
print(f"[WARN] Could not load template file: {template_path}")
|
||||
return None
|
||||
|
||||
# 3) Template matching
|
||||
result = cv2.matchTemplate(screenshot_bgr, template_bgr, cv2.TM_CCOEFF_NORMED)
|
||||
|
||||
# 4) Find best match
|
||||
min_val, max_val, min_loc, max_loc = cv2.minMaxLoc(result)
|
||||
# template width/height
|
||||
th, tw, _ = template_bgr.shape
|
||||
|
||||
if max_val >= threshold:
|
||||
# max_loc is top-left corner of the best match
|
||||
found_x, found_y = max_loc
|
||||
return (found_x, found_y, tw, th)
|
||||
else:
|
||||
return None
|
||||
|
||||
|
||||
def format_duration(seconds):
|
||||
if seconds is None:
|
||||
return "???"
|
||||
seconds = int(seconds)
|
||||
hours = seconds // 3600
|
||||
leftover = seconds % 3600
|
||||
mins = leftover // 60
|
||||
secs = leftover % 60
|
||||
if hours > 0:
|
||||
return f"{hours}h {mins}m {secs}s"
|
||||
else:
|
||||
return f"{mins}m {secs}s"
|
||||
|
||||
|
||||
def sanitize_experience_string(raw_text):
|
||||
text_no_percent = raw_text.replace('%', '')
|
||||
text_no_spaces = text_no_percent.replace(' ', '')
|
||||
cleaned = re.sub(r'[^0-9\.]', '', text_no_spaces)
|
||||
match = re.search(r'\d+(?:\.\d+)?', cleaned)
|
||||
if not match:
|
||||
return None
|
||||
val = float(match.group(0))
|
||||
if val < 0:
|
||||
val = 0
|
||||
elif val > 100:
|
||||
val = 100
|
||||
return round(val, 4)
|
||||
|
||||
|
||||
def format_experience_value(value):
|
||||
if value < 0:
|
||||
value = 0
|
||||
elif value > 100:
|
||||
value = 100
|
||||
float_4 = round(value, 4)
|
||||
raw_str = f"{float_4:.4f}"
|
||||
int_part, dec_part = raw_str.split('.')
|
||||
if int_part == "100":
|
||||
pass
|
||||
elif len(int_part) == 1 and int_part != "0":
|
||||
int_part = "0" + int_part
|
||||
elif int_part == "0":
|
||||
int_part = "00"
|
||||
return f"{int_part}.{dec_part}"
|
||||
|
||||
# -----------------------------------------------------------------------------
|
||||
# Region Class
|
||||
# -----------------------------------------------------------------------------
|
||||
class Region:
|
||||
"""
|
||||
Defines a draggable/resizable screen region for OCR capture.
|
||||
"""
|
||||
def __init__(self, x, y, label="Region", color=QColor(0,0,255)):
|
||||
self.x = x
|
||||
self.y = y
|
||||
self.w = DEFAULT_WIDTH
|
||||
self.h = DEFAULT_HEIGHT
|
||||
self.label = label
|
||||
self.color = color
|
||||
self.visible = True
|
||||
self.data = ""
|
||||
|
||||
def rect(self):
|
||||
return QRect(self.x, self.y, self.w, self.h)
|
||||
|
||||
def label_rect(self):
|
||||
return QRect(self.x, self.y - LABEL_HEIGHT, self.w, LABEL_HEIGHT)
|
||||
|
||||
def resize_handles(self):
|
||||
return [
|
||||
QRect(self.x - HANDLE_SIZE // 2, self.y - HANDLE_SIZE // 2, HANDLE_SIZE, HANDLE_SIZE),
|
||||
QRect(self.x + self.w - HANDLE_SIZE // 2, self.y - HANDLE_SIZE // 2, HANDLE_SIZE, HANDLE_SIZE),
|
||||
QRect(self.x - HANDLE_SIZE // 2, self.y + self.h - HANDLE_SIZE // 2, HANDLE_SIZE, HANDLE_SIZE),
|
||||
QRect(self.x + self.w - HANDLE_SIZE // 2, self.y + self.h - HANDLE_SIZE // 2, HANDLE_SIZE, HANDLE_SIZE),
|
||||
]
|
||||
|
||||
# -----------------------------------------------------------------------------
|
||||
# OverlayCanvas Class
|
||||
# -----------------------------------------------------------------------------
|
||||
class OverlayCanvas(QWidget):
|
||||
"""
|
||||
Renders the overlay & handles region dragging/resizing.
|
||||
"""
|
||||
def __init__(self, regions, parent=None):
|
||||
super().__init__(parent)
|
||||
self.regions = regions
|
||||
self.edit_mode = True
|
||||
self.selected_region = None
|
||||
self.selected_handle = None
|
||||
self.drag_offset = QPoint()
|
||||
|
||||
def paintEvent(self, event):
|
||||
painter = QPainter(self)
|
||||
for region in self.regions:
|
||||
if region.visible:
|
||||
pen = QPen(region.color)
|
||||
pen.setWidth(3)
|
||||
painter.setPen(pen)
|
||||
painter.drawRect(region.x, region.y, region.w, region.h)
|
||||
|
||||
painter.setFont(QFont("Arial", 12, QFont.Bold))
|
||||
painter.setPen(region.color)
|
||||
painter.drawText(region.x, region.y - 5, region.label)
|
||||
|
||||
if self.edit_mode:
|
||||
for handle in region.resize_handles():
|
||||
painter.fillRect(handle, region.color)
|
||||
|
||||
def mousePressEvent(self, event):
|
||||
if not self.edit_mode:
|
||||
return
|
||||
if event.button() == Qt.LeftButton:
|
||||
for region in reversed(self.regions):
|
||||
for i, handle in enumerate(region.resize_handles()):
|
||||
if handle.contains(event.pos()):
|
||||
self.selected_region = region
|
||||
self.selected_handle = i
|
||||
return
|
||||
if region.label_rect().contains(event.pos()):
|
||||
self.selected_region = region
|
||||
self.selected_handle = None
|
||||
self.drag_offset = event.pos() - QPoint(region.x, region.y)
|
||||
return
|
||||
if region.rect().contains(event.pos()):
|
||||
self.selected_region = region
|
||||
self.selected_handle = None
|
||||
self.drag_offset = event.pos() - QPoint(region.x, region.y)
|
||||
return
|
||||
|
||||
def mouseMoveEvent(self, event):
|
||||
if not self.edit_mode or self.selected_region is None:
|
||||
return
|
||||
|
||||
if self.selected_handle is None:
|
||||
self.selected_region.x = event.x() - self.drag_offset.x()
|
||||
self.selected_region.y = event.y() - self.drag_offset.y()
|
||||
else:
|
||||
sr = self.selected_region
|
||||
if self.selected_handle == 0: # top-left
|
||||
sr.w += sr.x - event.x()
|
||||
sr.h += sr.y - event.y()
|
||||
sr.x = event.x()
|
||||
sr.y = event.y()
|
||||
elif self.selected_handle == 1: # top-right
|
||||
sr.w = event.x() - sr.x
|
||||
sr.h += sr.y - event.y()
|
||||
sr.y = event.y()
|
||||
elif self.selected_handle == 2: # bottom-left
|
||||
sr.w += sr.x - event.x()
|
||||
sr.h = event.y() - sr.y
|
||||
sr.x = event.x()
|
||||
elif self.selected_handle == 3: # bottom-right
|
||||
sr.w = event.x() - sr.x
|
||||
sr.h = event.y() - sr.y
|
||||
|
||||
sr.w = max(sr.w, 10)
|
||||
sr.h = max(sr.h, 10)
|
||||
|
||||
self.update()
|
||||
|
||||
def mouseReleaseEvent(self, event):
|
||||
if not self.edit_mode:
|
||||
return
|
||||
if event.button() == Qt.LeftButton:
|
||||
self.selected_region = None
|
||||
self.selected_handle = None
|
||||
|
||||
# -----------------------------------------------------------------------------
|
||||
# BorealisOverlay Class
|
||||
# -----------------------------------------------------------------------------
|
||||
class BorealisOverlay(QWidget):
|
||||
"""
|
||||
Single Region Overlay for Player Stats (HP/MP/FP/EXP) with:
|
||||
- Automatic location via OpenCV template matching at startup
|
||||
- OCR scanning
|
||||
- Low-HP beep
|
||||
- Rich Live updates in terminal
|
||||
"""
|
||||
def __init__(self, live=None):
|
||||
super().__init__()
|
||||
screen_geo = QApplication.primaryScreen().geometry()
|
||||
self.setGeometry(screen_geo)
|
||||
self.setWindowFlags(Qt.FramelessWindowHint | Qt.WindowStaysOnTopHint)
|
||||
self.setAttribute(Qt.WA_TranslucentBackground, True)
|
||||
|
||||
# Try to find the bars automatically
|
||||
# If found => use that location, else default
|
||||
initial_x, initial_y = 250, 50
|
||||
region_w, region_h = DEFAULT_WIDTH, DEFAULT_HEIGHT
|
||||
|
||||
match_result = locate_bars_opencv(TEMPLATE_PATH, MATCH_THRESHOLD)
|
||||
if match_result is not None:
|
||||
found_x, found_y, w, h = match_result
|
||||
print(f"Character Status Located at {found_x}, {found_y} with confidence >= {MATCH_THRESHOLD}.")
|
||||
initial_x, initial_y = found_x, found_y
|
||||
# Optionally override region size with template size
|
||||
region_w, region_h = w, h
|
||||
else:
|
||||
print("Could not auto-locate the character status page. Set your theme to Masquerade and Interface Scale to 140%, and browser zoom level to 110%. Using default region.")
|
||||
|
||||
region = Region(initial_x, initial_y, label="Character Status")
|
||||
region.w = region_w
|
||||
region.h = region_h
|
||||
self.regions = [region]
|
||||
|
||||
self.canvas = OverlayCanvas(self.regions, self)
|
||||
self.canvas.setGeometry(self.rect())
|
||||
|
||||
# Tesseract
|
||||
self.engine = pytesseract
|
||||
|
||||
# Keep history of EXP data
|
||||
self.points = []
|
||||
|
||||
self.live = live
|
||||
|
||||
# Timer for periodic OCR scanning
|
||||
self.timer = QTimer(self)
|
||||
self.timer.timeout.connect(self.collect_ocr_data)
|
||||
self.timer.start(POLLING_RATE_MS)
|
||||
|
||||
def set_live(self, live):
|
||||
self.live = live
|
||||
|
||||
def collect_ocr_data(self):
|
||||
for region in self.regions:
|
||||
if region.visible:
|
||||
screenshot = ImageGrab.grab(
|
||||
bbox=(region.x, region.y, region.x + region.w, region.y + region.h)
|
||||
)
|
||||
processed = self.preprocess_image(screenshot)
|
||||
text = pytesseract.image_to_string(processed, config='--psm 4 --oem 1')
|
||||
region.data = text.strip()
|
||||
|
||||
if self.live is not None:
|
||||
renderable = self.build_renderable()
|
||||
self.live.update(renderable)
|
||||
|
||||
def preprocess_image(self, image):
|
||||
gray = image.convert("L")
|
||||
scaled = gray.resize((gray.width * 3, gray.height * 3))
|
||||
thresh = scaled.point(lambda p: p > 200 and 255)
|
||||
return thresh.filter(ImageFilter.MedianFilter(3))
|
||||
|
||||
def parse_all_stats(self, raw_text):
|
||||
raw_lines = raw_text.splitlines()
|
||||
lines = [l.strip() for l in raw_lines if l.strip()]
|
||||
stats_dict = {
|
||||
"hp": (0,1),
|
||||
"mp": (0,1),
|
||||
"fp": (0,1),
|
||||
"exp": None
|
||||
}
|
||||
if len(lines) < 4:
|
||||
return stats_dict
|
||||
|
||||
hp_match = re.search(r"(\d+)\s*/\s*(\d+)", lines[0])
|
||||
if hp_match:
|
||||
stats_dict["hp"] = (int(hp_match.group(1)), int(hp_match.group(2)))
|
||||
|
||||
mp_match = re.search(r"(\d+)\s*/\s*(\d+)", lines[1])
|
||||
if mp_match:
|
||||
stats_dict["mp"] = (int(mp_match.group(1)), int(mp_match.group(2)))
|
||||
|
||||
fp_match = re.search(r"(\d+)\s*/\s*(\d+)", lines[2])
|
||||
if fp_match:
|
||||
stats_dict["fp"] = (int(fp_match.group(1)), int(fp_match.group(2)))
|
||||
|
||||
exp_val = sanitize_experience_string(lines[3])
|
||||
stats_dict["exp"] = exp_val
|
||||
return stats_dict
|
||||
|
||||
def update_points(self, new_val):
|
||||
now = time.time()
|
||||
if self.points:
|
||||
_, last_v = self.points[-1]
|
||||
if abs(new_val - last_v) < 1e-6:
|
||||
return
|
||||
if new_val < last_v:
|
||||
self.points.clear()
|
||||
self.points.append((now, new_val))
|
||||
if len(self.points) > MAX_DATA_POINTS:
|
||||
self.points.pop(0)
|
||||
|
||||
def compute_time_to_100(self):
|
||||
n = len(self.points)
|
||||
if n < 2:
|
||||
return None
|
||||
first_t, first_v = self.points[0]
|
||||
last_t, last_v = self.points[-1]
|
||||
diff_v = last_v - first_v
|
||||
if diff_v <= 0:
|
||||
return None
|
||||
|
||||
steps = n - 1
|
||||
total_time = last_t - first_t
|
||||
if total_time <= 0:
|
||||
return None
|
||||
|
||||
avg_change = diff_v / steps
|
||||
remain = 100.0 - last_v
|
||||
if remain <= 0:
|
||||
return None
|
||||
|
||||
avg_time = total_time / steps
|
||||
rate_per_s = avg_change / avg_time if avg_time > 0 else 0
|
||||
if rate_per_s <= 0:
|
||||
return None
|
||||
|
||||
return int(remain / rate_per_s)
|
||||
|
||||
def build_renderable(self):
|
||||
raw_text = self.regions[0].data
|
||||
stats = self.parse_all_stats(raw_text)
|
||||
hp_cur, hp_max = stats["hp"]
|
||||
mp_cur, mp_max = stats["mp"]
|
||||
fp_cur, fp_max = stats["fp"]
|
||||
exp_val = stats["exp"]
|
||||
|
||||
# HP beep logic
|
||||
if hp_max > 0:
|
||||
hp_ratio = hp_cur / hp_max
|
||||
if 0 < hp_ratio <= 0.40:
|
||||
beep_hp_warning()
|
||||
|
||||
if exp_val is not None:
|
||||
self.update_points(exp_val)
|
||||
current_exp = self.points[-1][1] if self.points else 0.0
|
||||
|
||||
# Title
|
||||
title_text = Text("Project Borealis\n", style="bold white")
|
||||
subtitle_text = Text("Flyff Information Overlay\n\n", style="dim")
|
||||
|
||||
# HP / MP / FP bars
|
||||
bar_progress = Progress(
|
||||
"{task.description}",
|
||||
BarColumn(bar_width=30),
|
||||
TextColumn(" {task.completed}/{task.total} ({task.percentage:>5.2f}%)"),
|
||||
transient=False,
|
||||
auto_refresh=False
|
||||
)
|
||||
bar_progress.add_task("[bold red]HP[/bold red]", total=hp_max, completed=hp_cur,
|
||||
style="red", complete_style="red")
|
||||
bar_progress.add_task("[bold blue]MP[/bold blue]", total=mp_max, completed=mp_cur,
|
||||
style="blue", complete_style="blue")
|
||||
bar_progress.add_task("[bold green]FP[/bold green]", total=fp_max, completed=fp_cur,
|
||||
style="green", complete_style="green")
|
||||
bar_progress.refresh()
|
||||
|
||||
# Historical EXP table
|
||||
table = Table(show_header=True, header_style=GREEN_HEADER_STYLE, style=None)
|
||||
table.add_column("Historical EXP", justify="center", style="green")
|
||||
table.add_column("Time Since Last Kill", justify="center", style="green")
|
||||
table.add_column("Average EXP Per Kill", justify="center", style="green")
|
||||
table.add_column("Average Time Between Kills", justify="center", style="green")
|
||||
|
||||
n = len(self.points)
|
||||
if n == 0:
|
||||
table.add_row("N/A", "N/A", "N/A", "N/A")
|
||||
elif n == 1:
|
||||
_, v0 = self.points[0]
|
||||
exp_str = f"[green]{format_experience_value(v0)}%[/green]"
|
||||
table.add_row(exp_str, "N/A", "N/A", "N/A")
|
||||
else:
|
||||
for i in range(1, n):
|
||||
t_cur, v_cur = self.points[i]
|
||||
t_prev, v_prev = self.points[i - 1]
|
||||
delta_v = v_cur - v_prev
|
||||
delta_str = f"{delta_v:+.4f}%"
|
||||
exp_main = format_experience_value(v_cur)
|
||||
exp_str = f"[green]{exp_main}%[/green] [dim]({delta_str})[/dim]"
|
||||
|
||||
delta_t = t_cur - t_prev
|
||||
t_since_str = f"{delta_t:.1f}s"
|
||||
|
||||
diff_v = v_cur - self.points[0][1]
|
||||
steps = i
|
||||
avg_exp_str = f"{diff_v/steps:.4f}%"
|
||||
|
||||
total_time = t_cur - self.points[0][0]
|
||||
avg_kill_time = total_time / steps
|
||||
avg_time_str = f"{avg_kill_time:.1f}s"
|
||||
|
||||
table.add_row(exp_str, t_since_str, avg_exp_str, avg_time_str)
|
||||
|
||||
# Predicted Time to Level
|
||||
secs_left = self.compute_time_to_100()
|
||||
time_str = format_duration(secs_left)
|
||||
|
||||
time_bar = Progress(
|
||||
TextColumn("[bold white]Predicted Time to Level:[/bold white] "),
|
||||
BarColumn(bar_width=30, complete_style="magenta"),
|
||||
TextColumn(" [green]{task.percentage:>5.2f}%[/green] "),
|
||||
TextColumn(f"[magenta]{time_str}[/magenta] until 100%", justify="right"),
|
||||
transient=False,
|
||||
auto_refresh=False
|
||||
)
|
||||
time_bar.add_task("", total=100, completed=current_exp)
|
||||
time_bar.refresh()
|
||||
|
||||
return Group(
|
||||
title_text,
|
||||
subtitle_text,
|
||||
bar_progress,
|
||||
table,
|
||||
time_bar
|
||||
)
|
||||
|
||||
# -----------------------------------------------------------------------------
|
||||
# main
|
||||
# -----------------------------------------------------------------------------
|
||||
def main():
|
||||
"""
|
||||
1) Attempt to locate HP/MP/FP/Exp bars using OpenCV template matching.
|
||||
2) Position overlay region accordingly if found, else default.
|
||||
3) Start PyQt, periodically OCR the region, update Rich Live in terminal.
|
||||
"""
|
||||
app = QApplication(sys.argv)
|
||||
window = BorealisOverlay()
|
||||
window.setWindowTitle("Project Borealis Overlay (HP/MP/FP/EXP)")
|
||||
window.show()
|
||||
|
||||
console = Console()
|
||||
|
||||
with Live(console=console, refresh_per_second=4) as live:
|
||||
window.set_live(live)
|
||||
exit_code = app.exec_()
|
||||
|
||||
sys.exit(exit_code)
|
||||
|
||||
if __name__ == "__main__":
|
||||
main()
|
||||
Binary file not shown.
@ -25,6 +25,7 @@ regions = {}
|
||||
|
||||
app_instance = None
|
||||
|
||||
|
||||
def _ensure_qapplication():
|
||||
"""
|
||||
Ensures that QApplication is initialized before creating widgets.
|
||||
@ -34,12 +35,14 @@ def _ensure_qapplication():
|
||||
app_instance = QApplication(sys.argv)
|
||||
threading.Thread(target=app_instance.exec_, daemon=True).start()
|
||||
|
||||
def create_ocr_region(region_id, x=250, y=50, w=DEFAULT_WIDTH, h=DEFAULT_HEIGHT):
|
||||
|
||||
def create_ocr_region(region_id, x=250, y=50, w=DEFAULT_WIDTH, h=DEFAULT_HEIGHT, color=(255, 255, 0)):
|
||||
"""
|
||||
Creates an OCR region with a visible, resizable box on the screen.
|
||||
The color parameter allows customization (default yellow, blue for overlays).
|
||||
"""
|
||||
|
||||
_ensure_qapplication() # Ensure QApplication is running first
|
||||
|
||||
_ensure_qapplication()
|
||||
|
||||
collector_mutex.lock()
|
||||
if region_id in regions:
|
||||
@ -48,10 +51,11 @@ def create_ocr_region(region_id, x=250, y=50, w=DEFAULT_WIDTH, h=DEFAULT_HEIGHT)
|
||||
regions[region_id] = {
|
||||
'bbox': [x, y, w, h],
|
||||
'raw_text': "",
|
||||
'widget': OCRRegionWidget(x, y, w, h, region_id)
|
||||
'widget': OCRRegionWidget(x, y, w, h, region_id, color)
|
||||
}
|
||||
collector_mutex.unlock()
|
||||
|
||||
|
||||
def get_raw_text(region_id):
|
||||
collector_mutex.lock()
|
||||
if region_id not in regions:
|
||||
@ -61,10 +65,12 @@ def get_raw_text(region_id):
|
||||
collector_mutex.unlock()
|
||||
return text
|
||||
|
||||
|
||||
def start_collector():
|
||||
t = threading.Thread(target=_update_ocr_loop, daemon=True)
|
||||
t.start()
|
||||
|
||||
|
||||
def _update_ocr_loop():
|
||||
while True:
|
||||
collector_mutex.lock()
|
||||
@ -79,25 +85,102 @@ def _update_ocr_loop():
|
||||
x, y, w, h = bbox
|
||||
screenshot = ImageGrab.grab(bbox=(x, y, x + w, y + h))
|
||||
processed = _preprocess_image(screenshot)
|
||||
raw_text = pytesseract.image_to_string(processed, config='--psm 4 --oem 1')
|
||||
raw_text = pytesseract.image_to_string(processed, config='--psm 6 --oem 1')
|
||||
|
||||
collector_mutex.lock()
|
||||
if rid in regions:
|
||||
regions[rid]['raw_text'] = raw_text
|
||||
collector_mutex.unlock()
|
||||
|
||||
# print(f"OCR Text for {rid}: {raw_text}") # SHOW RAW OCR OUTPUT IN TERMINAL FOR DEBUGGING
|
||||
|
||||
time.sleep(0.7)
|
||||
|
||||
|
||||
def _preprocess_image(image):
|
||||
gray = image.convert("L")
|
||||
scaled = gray.resize((gray.width * 3, gray.height * 3))
|
||||
thresh = scaled.point(lambda p: 255 if p > 200 else 0)
|
||||
return thresh.filter(ImageFilter.MedianFilter(3))
|
||||
|
||||
|
||||
def find_word_positions(region_id, word, offset_x=0, offset_y=0, margin=5):
|
||||
"""
|
||||
Finds positions of a specific word within the OCR region.
|
||||
Applies user-defined offset and margin adjustments.
|
||||
Returns a list of bounding box coordinates relative to the OCR box.
|
||||
"""
|
||||
collector_mutex.lock()
|
||||
if region_id not in regions:
|
||||
collector_mutex.unlock()
|
||||
return []
|
||||
|
||||
bbox = regions[region_id]['bbox']
|
||||
collector_mutex.unlock()
|
||||
|
||||
# Extract OCR region position and size
|
||||
x, y, w, h = bbox
|
||||
left, top, right, bottom = x, y, x + w, y + h
|
||||
|
||||
if right <= left or bottom <= top:
|
||||
print(f"[ERROR] Invalid OCR region bounds: {bbox}")
|
||||
return []
|
||||
|
||||
try:
|
||||
image = ImageGrab.grab(bbox=(left, top, right, bottom))
|
||||
processed = _preprocess_image(image)
|
||||
|
||||
# Get original and processed image sizes
|
||||
orig_width, orig_height = image.size
|
||||
proc_width, proc_height = processed.size
|
||||
|
||||
# Scale factor between processed image and original screenshot
|
||||
scale_x = orig_width / proc_width
|
||||
scale_y = orig_height / proc_height
|
||||
|
||||
data = pytesseract.image_to_data(processed, config='--psm 6 --oem 1', output_type=pytesseract.Output.DICT)
|
||||
|
||||
word_positions = []
|
||||
for i in range(len(data['text'])):
|
||||
if re.search(rf"\b{word}\b", data['text'][i], re.IGNORECASE):
|
||||
# Scale the detected coordinates back to region-relative positions
|
||||
x_scaled = int(data['left'][i] * scale_x)
|
||||
y_scaled = int(data['top'][i] * scale_y)
|
||||
w_scaled = int(data['width'][i] * scale_x)
|
||||
h_scaled = int(data['height'][i] * scale_y)
|
||||
|
||||
# Apply user-configured margin
|
||||
x_margin = max(0, x_scaled - margin)
|
||||
y_margin = max(0, y_scaled - margin)
|
||||
w_margin = w_scaled + (margin * 2)
|
||||
h_margin = h_scaled + (margin * 2)
|
||||
|
||||
# Apply user-configured offset
|
||||
x_final = x_margin + offset_x
|
||||
y_final = y_margin + offset_y
|
||||
|
||||
word_positions.append((x_final, y_final, w_margin, h_margin))
|
||||
|
||||
return word_positions
|
||||
except Exception as e:
|
||||
print(f"[ERROR] Failed to capture OCR region: {e}")
|
||||
return []
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
def draw_identification_boxes(region_id, positions, color=(0, 0, 255)):
|
||||
"""
|
||||
Draws non-interactive rectangles at specified positions within the given OCR region.
|
||||
"""
|
||||
collector_mutex.lock()
|
||||
if region_id in regions and 'widget' in regions[region_id]:
|
||||
widget = regions[region_id]['widget']
|
||||
widget.set_draw_positions(positions, color)
|
||||
collector_mutex.unlock()
|
||||
|
||||
|
||||
class OCRRegionWidget(QWidget):
|
||||
def __init__(self, x, y, w, h, region_id):
|
||||
def __init__(self, x, y, w, h, region_id, color):
|
||||
super().__init__()
|
||||
|
||||
self.setGeometry(x, y, w, h)
|
||||
@ -108,23 +191,41 @@ class OCRRegionWidget(QWidget):
|
||||
self.drag_offset = None
|
||||
self.selected_handle = None
|
||||
self.region_id = region_id
|
||||
self.box_color = QColor(*color)
|
||||
self.draw_positions = []
|
||||
|
||||
self.show()
|
||||
|
||||
def paintEvent(self, event):
|
||||
painter = QPainter(self)
|
||||
pen = QPen(QColor(255, 255, 0)) # COLOR OF THE BOX ITSELF
|
||||
pen.setWidth(5) # WIDTH OF THE BOX BORDER
|
||||
pen = QPen(self.box_color)
|
||||
pen.setWidth(5)
|
||||
painter.setPen(pen)
|
||||
|
||||
# Draw main rectangle
|
||||
painter.drawRect(0, 0, self.width(), self.height())
|
||||
|
||||
# Draw detected word overlays
|
||||
pen.setWidth(2)
|
||||
pen.setColor(QColor(0, 0, 255))
|
||||
painter.setPen(pen)
|
||||
|
||||
for x, y, w, h in self.draw_positions:
|
||||
painter.drawRect(x, y, w, h)
|
||||
|
||||
# Draw resize handles
|
||||
painter.setBrush(QColor(255, 255, 0)) # COLOR OF THE RESIZE HANDLES
|
||||
painter.setBrush(self.box_color)
|
||||
for handle in self._resize_handles():
|
||||
painter.drawRect(handle)
|
||||
|
||||
def set_draw_positions(self, positions, color):
|
||||
"""
|
||||
Update the positions where identification boxes should be drawn.
|
||||
"""
|
||||
self.draw_positions = positions
|
||||
self.box_color = QColor(*color)
|
||||
self.update()
|
||||
|
||||
def _resize_handles(self):
|
||||
w, h = self.width(), self.height()
|
||||
return [
|
||||
@ -174,7 +275,3 @@ class OCRRegionWidget(QWidget):
|
||||
if self.region_id in regions:
|
||||
regions[self.region_id]['bbox'] = [new_x, new_y, self.width(), self.height()]
|
||||
collector_mutex.unlock()
|
||||
|
||||
def mouseReleaseEvent(self, event):
|
||||
self.selected_handle = None
|
||||
self.drag_offset = None
|
||||
|
||||
BIN
Nodes/Flyff/__pycache__/identification_overlay.cpython-312.pyc
Normal file
BIN
Nodes/Flyff/__pycache__/identification_overlay.cpython-312.pyc
Normal file
Binary file not shown.
Binary file not shown.
66
Nodes/General Purpose/identification_overlay.py
Normal file
66
Nodes/General Purpose/identification_overlay.py
Normal file
@ -0,0 +1,66 @@
|
||||
#!/usr/bin/env python3
|
||||
"""
|
||||
Identification Overlay Node:
|
||||
- Creates an OCR region in data_collector with a blue overlay.
|
||||
- Detects instances of a specified word and draws adjustable overlays.
|
||||
- Users can configure offset and margin dynamically.
|
||||
"""
|
||||
|
||||
import re
|
||||
from OdenGraphQt import BaseNode
|
||||
from PyQt5.QtWidgets import QMessageBox
|
||||
from PyQt5.QtCore import QTimer
|
||||
from Modules import data_manager, data_collector
|
||||
|
||||
|
||||
class IdentificationOverlayNode(BaseNode):
|
||||
__identifier__ = "bunny-lab.io.identification_overlay_node"
|
||||
NODE_NAME = "Identification Overlay"
|
||||
|
||||
def __init__(self):
|
||||
super(IdentificationOverlayNode, self).__init__()
|
||||
|
||||
# User-configurable options
|
||||
self.add_text_input("search_term", "Search Term", text="Aibatt")
|
||||
self.add_text_input("offset_value", "Offset Value (X,Y)", text="0,0") # New input
|
||||
self.add_text_input("margin", "Margin", text="5") # New input
|
||||
|
||||
self.region_id = "identification_overlay"
|
||||
data_collector.create_ocr_region(self.region_id, x=250, y=50, w=300, h=200, color=(0, 0, 255))
|
||||
|
||||
data_collector.start_collector()
|
||||
self.set_name("Identification Overlay")
|
||||
|
||||
# Timer for updating overlays
|
||||
self.timer = QTimer()
|
||||
self.timer.timeout.connect(self.update_overlay)
|
||||
self.timer.start(500) # Update every 500ms
|
||||
|
||||
def update_overlay(self):
|
||||
"""
|
||||
Updates the overlay with detected word positions.
|
||||
"""
|
||||
search_term = self.get_property("search_term")
|
||||
offset_text = self.get_property("offset_value")
|
||||
margin_text = self.get_property("margin")
|
||||
|
||||
# Parse user-defined offset
|
||||
try:
|
||||
offset_x, offset_y = map(int, offset_text.split(","))
|
||||
except ValueError:
|
||||
offset_x, offset_y = 0, 0 # Default to no offset if invalid input
|
||||
|
||||
# Parse user-defined margin
|
||||
try:
|
||||
margin = int(margin_text)
|
||||
except ValueError:
|
||||
margin = 5 # Default margin if invalid input
|
||||
|
||||
if not search_term:
|
||||
return
|
||||
|
||||
# Get detected word positions
|
||||
detected_positions = data_collector.find_word_positions(self.region_id, search_term, offset_x, offset_y, margin)
|
||||
|
||||
# Draw detected word boxes
|
||||
data_collector.draw_identification_boxes(self.region_id, detected_positions, color=(0, 0, 255))
|
||||
Loading…
x
Reference in New Issue
Block a user