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object-segmentation/src/gui/tabs/annotation_tab.py

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Python
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"""
Annotation tab for the microscopy object detection application.
Future feature for manual annotation.
"""
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from PySide6.QtWidgets import (
QWidget,
QVBoxLayout,
QHBoxLayout,
QLabel,
QGroupBox,
QPushButton,
QFileDialog,
QMessageBox,
QScrollArea,
)
from PySide6.QtGui import QPixmap, QImage
from PySide6.QtCore import Qt
from pathlib import Path
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from src.database.db_manager import DatabaseManager
from src.utils.config_manager import ConfigManager
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from src.utils.image import Image, ImageLoadError
from src.utils.logger import get_logger
logger = get_logger(__name__)
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class AnnotationTab(QWidget):
"""Annotation tab placeholder (future feature)."""
def __init__(
self, db_manager: DatabaseManager, config_manager: ConfigManager, parent=None
):
super().__init__(parent)
self.db_manager = db_manager
self.config_manager = config_manager
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self.current_image = None
self.current_image_path = None
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self._setup_ui()
def _setup_ui(self):
"""Setup user interface."""
layout = QVBoxLayout()
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# Image loading section
load_group = QGroupBox("Image Loading")
load_layout = QVBoxLayout()
# Load image button
button_layout = QHBoxLayout()
self.load_image_btn = QPushButton("Load Image")
self.load_image_btn.clicked.connect(self._load_image)
button_layout.addWidget(self.load_image_btn)
button_layout.addStretch()
load_layout.addLayout(button_layout)
# Image info label
self.image_info_label = QLabel("No image loaded")
load_layout.addWidget(self.image_info_label)
load_group.setLayout(load_layout)
layout.addWidget(load_group)
# Image display section
display_group = QGroupBox("Image Display")
display_layout = QVBoxLayout()
# Scroll area for image
scroll_area = QScrollArea()
scroll_area.setWidgetResizable(True)
scroll_area.setMinimumHeight(400)
self.image_label = QLabel("No image loaded")
self.image_label.setAlignment(Qt.AlignCenter)
self.image_label.setStyleSheet(
"QLabel { background-color: #2b2b2b; color: #888; }"
)
self.image_label.setScaledContents(False)
scroll_area.setWidget(self.image_label)
display_layout.addWidget(scroll_area)
display_group.setLayout(display_layout)
layout.addWidget(display_group)
# Future features info
info_group = QGroupBox("Annotation Tool (Future Feature)")
info_layout = QVBoxLayout()
info_label = QLabel(
"Full annotation functionality will be implemented in future version.\n\n"
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"Planned Features:\n"
"- Drawing tools for bounding boxes\n"
"- Class label assignment\n"
"- Export annotations to YOLO format\n"
"- Annotation verification"
)
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info_layout.addWidget(info_label)
info_group.setLayout(info_layout)
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layout.addWidget(info_group)
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self.setLayout(layout)
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def _load_image(self):
"""Load and display an image file."""
# Get image repository path or use home directory
repo_path = self.config_manager.get_image_repository_path()
start_dir = repo_path if repo_path else str(Path.home())
# Open file dialog
file_path, _ = QFileDialog.getOpenFileName(
self,
"Select Image",
start_dir,
"Images (*.jpg *.jpeg *.png *.tif *.tiff *.bmp)",
)
if not file_path:
return
try:
# Load image using Image class
self.current_image = Image(file_path)
self.current_image_path = file_path
# Update info label
info_text = (
f"File: {Path(file_path).name}\n"
f"Size: {self.current_image.width}x{self.current_image.height} pixels\n"
f"Channels: {self.current_image.channels}\n"
f"Format: {self.current_image.format.upper()}\n"
f"File size: {self.current_image.size_mb:.2f} MB"
)
self.image_info_label.setText(info_text)
# Convert to QPixmap and display
self._display_image()
logger.info(f"Loaded image: {file_path}")
except ImageLoadError as e:
logger.error(f"Failed to load image: {e}")
QMessageBox.critical(
self, "Error Loading Image", f"Failed to load image:\n{str(e)}"
)
except Exception as e:
logger.error(f"Unexpected error loading image: {e}")
QMessageBox.critical(self, "Error", f"Unexpected error:\n{str(e)}")
def _display_image(self):
"""Display the current image in the image label."""
if self.current_image is None:
return
try:
# Get RGB image data
rgb_data = self.current_image.get_rgb()
# Convert numpy array to QImage
height, width, channels = rgb_data.shape
bytes_per_line = channels * width
if channels == 3:
qimage = QImage(
rgb_data.data,
width,
height,
bytes_per_line,
QImage.Format_RGB888,
)
else:
# Grayscale
qimage = QImage(
rgb_data.data,
width,
height,
bytes_per_line,
QImage.Format_Grayscale8,
)
# Convert to pixmap
pixmap = QPixmap.fromImage(qimage)
# Scale to fit display (max 800px width or height)
max_size = 800
if pixmap.width() > max_size or pixmap.height() > max_size:
pixmap = pixmap.scaled(
max_size,
max_size,
Qt.KeepAspectRatio,
Qt.SmoothTransformation,
)
# Display in label
self.image_label.setPixmap(pixmap)
self.image_label.setScaledContents(False)
except Exception as e:
logger.error(f"Error displaying image: {e}")
QMessageBox.warning(
self, "Display Error", f"Failed to display image:\n{str(e)}"
)
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def refresh(self):
"""Refresh the tab."""
pass