Clean push: Removed heavy files & added only latest snapshot

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2025-07-26 05:16:12 +05:30
commit acf84e8767
250 changed files with 58564 additions and 0 deletions

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from PySide6.QtWidgets import (
QWidget, QVBoxLayout, QHBoxLayout, QLabel, QPushButton,
QFileDialog, QComboBox, QGroupBox, QToolButton, QMessageBox
)
from PySide6.QtCore import Qt, Signal, QSize, Slot, QTimer
from PySide6.QtGui import QPixmap, QImage, QIcon
import cv2
# Import our enhanced display widget for better video rendering
from ui.enhanced_simple_live_display import SimpleLiveDisplay
from utils.annotation_utils import convert_cv_to_pixmap
import os
import sys
import time
import numpy as np
class LiveTab(QWidget):
"""Live video processing and detection tab."""
video_dropped = Signal(str) # Emitted when video is dropped onto display
source_changed = Signal(object) # Emitted when video source changes
snapshot_requested = Signal() # Emitted when snapshot button is clicked
run_requested = Signal(bool) # Emitted when run/stop button is clicked
def __init__(self):
super().__init__()
self.current_source = 0 # Default to camera
self.initUI()
def initUI(self):
"""Initialize UI components"""
layout = QVBoxLayout(self)
# Video display - use simple label-based display
self.display = SimpleLiveDisplay()
layout.addWidget(self.display)
# Connect drag and drop signal from the display
self.display.video_dropped.connect(self.video_dropped)
# Control panel
controls = QHBoxLayout()
# Source selection
self.source_combo = QComboBox()
self.source_combo.addItem("📹 Camera 0", 0)
self.source_combo.addItem("📁 Video File", "file")
self.source_combo.setCurrentIndex(0)
self.source_combo.currentIndexChanged.connect(self.on_source_changed)
self.file_btn = QPushButton("📂 Browse")
self.file_btn.setMaximumWidth(100)
self.file_btn.clicked.connect(self.browse_files)
self.snapshot_btn = QPushButton("📸 Snapshot")
self.snapshot_btn.clicked.connect(self.snapshot_requested)
# Run/Stop button
self.run_btn = QPushButton("▶️ Run")
self.run_btn.setCheckable(True)
self.run_btn.clicked.connect(self.on_run_clicked)
self.run_btn.setStyleSheet("QPushButton:checked { background-color: #f44336; color: white; }")
# Performance metrics
self.fps_label = QLabel("FPS: -- | Inference: -- ms")
self.fps_label.setObjectName("fpsLabel")
self.fps_label.setAlignment(Qt.AlignRight | Qt.AlignVCenter)
# Add controls to layout
src_layout = QHBoxLayout()
src_layout.addWidget(QLabel("Source:"))
src_layout.addWidget(self.source_combo)
src_layout.addWidget(self.file_btn)
controls.addLayout(src_layout)
controls.addWidget(self.run_btn)
controls.addWidget(self.snapshot_btn)
controls.addStretch(1)
controls.addWidget(self.fps_label)
layout.addLayout(controls)
# Status bar
status_bar = QHBoxLayout()
self.status_label = QLabel("Ready")
status_bar.addWidget(self.status_label)
layout.addLayout(status_bar)
@Slot()
def on_source_changed(self):
"""Handle source selection change"""
source_data = self.source_combo.currentData()
print(f"DEBUG: on_source_changed - current data: {source_data} (type: {type(source_data)})")
if source_data == "file":
# If "Video File" option is selected, open file dialog
self.browse_files()
return # browse_files will emit the signal
# For camera or specific file path
if isinstance(source_data, str) and os.path.isfile(source_data):
self.current_source = source_data
print(f"DEBUG: emitting source_changed with file path: {source_data}")
self.source_changed.emit(source_data)
elif source_data == 0:
self.current_source = 0
print(f"DEBUG: emitting source_changed with camera index 0")
self.source_changed.emit(0)
else:
print(f"WARNING: Unknown source_data: {source_data}")
@Slot()
def browse_files(self):
"""Open file dialog to select video file"""
file_path, _ = QFileDialog.getOpenFileName(
self, "Open Video File", "",
"Video Files (*.mp4 *.avi *.mov *.mkv *.webm);;All Files (*)"
)
if file_path:
print(f"DEBUG: Selected file: {file_path} (type: {type(file_path)})")
# Always add or select the file path in the combo box
existing_idx = self.source_combo.findData(file_path)
if existing_idx == -1:
self.source_combo.addItem(os.path.basename(file_path), file_path)
self.source_combo.setCurrentIndex(self.source_combo.count() - 1)
else:
self.source_combo.setCurrentIndex(existing_idx)
self.current_source = file_path
print(f"DEBUG: Setting current_source to: {self.current_source}")
print(f"DEBUG: emitting source_changed with {file_path}")
self.source_changed.emit(file_path)
else:
# If user cancels, revert to previous valid source
if isinstance(self.current_source, str) and os.path.isfile(self.current_source):
idx = self.source_combo.findData(self.current_source)
if idx != -1:
self.source_combo.setCurrentIndex(idx)
else:
self.source_combo.setCurrentIndex(0)
@Slot(bool)
def on_run_clicked(self, checked):
"""Handle run/stop button clicks"""
if checked:
self.run_btn.setText("⏹️ Stop")
print(f"DEBUG: on_run_clicked - current_source: {self.current_source} (type: {type(self.current_source)})")
if isinstance(self.current_source, str) and os.path.isfile(self.current_source):
print(f"DEBUG: Re-emitting source_changed with file: {self.current_source}")
self.source_changed.emit(self.current_source)
QTimer.singleShot(500, lambda: self.run_requested.emit(True))
elif self.current_source == 0:
print(f"DEBUG: Re-emitting source_changed with camera index 0")
self.source_changed.emit(0)
QTimer.singleShot(500, lambda: self.run_requested.emit(True))
else:
print("ERROR: No valid source selected")
self.run_btn.setChecked(False)
self.run_btn.setText("▶️ Run")
return
self.status_label.setText(f"Running... (Source: {self.current_source})")
else:
self.run_btn.setText("▶️ Run")
self.run_requested.emit(False)
self.status_label.setText("Stopped")
@Slot(object, object, dict)
def update_display(self, pixmap, detections, metrics):
"""Update display with processed frame (detections only)"""
if pixmap:
# Print debug info about the pixmap
print(f"DEBUG: Received pixmap: {pixmap.width()}x{pixmap.height()}, null: {pixmap.isNull()}")
# Ensure pixmap is valid
if not pixmap.isNull():
# --- COMMENTED OUT: Draw vehicle info for all detections (ID below bbox) ---
# for det in detections:
# if 'bbox' in det and 'id' in det:
# x1, y1, x2, y2 = det['bbox']
# vehicle_id = det['id']
# class_name = det.get('class_name', 'object')
# confidence = det.get('confidence', 0.0)
# color = (0, 255, 0)
# if class_name == 'traffic light':
# color = (0, 0, 255)
# label_text = f"{class_name}:{confidence:.2f}" # Removed vehicle_id from label
# label_y = y2 + 20
# cv2.putText(frame, label_text, (x1, label_y), cv2.FONT_HERSHEY_SIMPLEX, 0.6, color, 2)
# --- END COMMENTED BLOCK ---
self.display.update_frame(pixmap)
# Update metrics display
fps = metrics.get('FPS', '--')
detection_time = metrics.get('Detection (ms)', '--')
self.fps_label.setText(f"FPS: {fps} | Detection: {detection_time} ms")
# Update status with detection counts and traffic light status
detection_counts = {}
traffic_light_statuses = []
for det in detections:
class_name = det.get('class_name', 'unknown')
detection_counts[class_name] = detection_counts.get(class_name, 0) + 1
# Check for traffic light color
if class_name == 'traffic light' and 'traffic_light_color' in det:
color = det['traffic_light_color']
# Handle both dict and string for color
if isinstance(color, dict):
color_str = color.get('color', 'unknown')
else:
color_str = str(color)
traffic_light_statuses.append(f"Traffic Light: {color_str.upper()}")
# Show traffic light status if available
if traffic_light_statuses:
self.status_label.setText(" | ".join(traffic_light_statuses))
# Otherwise show detection counts
elif detection_counts:
sorted_counts = sorted(
detection_counts.items(),
key=lambda x: x[1],
reverse=True
)[:3]
status_text = " | ".join([
f"{cls}: {count}" for cls, count in sorted_counts
])
self.status_label.setText(status_text)
else:
self.status_label.setText("No detections")
else:
print("ERROR: Received null pixmap in update_display")
@Slot(np.ndarray)
def update_display_np(self, frame):
"""Update display with direct NumPy frame (optional)"""
print(f"🟢 Frame received in UI - LiveTab.update_display_np called")
print(f"🔵 Frame info: type={type(frame)}, shape={getattr(frame, 'shape', 'None')}")
if frame is None or not isinstance(frame, np.ndarray) or frame.size == 0:
print("⚠️ Received None or empty frame in update_display_np")
return
# Ensure BGR to RGB conversion for OpenCV frames
try:
rgb_frame = cv2.cvtColor(frame, cv2.COLOR_BGR2RGB)
h, w, ch = rgb_frame.shape
bytes_per_line = ch * w
qimg = QImage(rgb_frame.data, w, h, bytes_per_line, QImage.Format_RGB888)
pixmap = QPixmap.fromImage(qimg)
# Scale pixmap to fit display
scaled_pixmap = pixmap.scaled(
self.display.width(), self.display.height(),
Qt.KeepAspectRatio, Qt.SmoothTransformation
)
print("📺 Sending scaled pixmap to display widget")
self.display.update_frame(scaled_pixmap)
except Exception as e:
print(f"❌ Error displaying frame: {e}")
import traceback
traceback.print_exc()
self.status_label.setText(f"Error displaying frame: {str(e)[:30]}...")
def reset_display(self):
"""Reset display to empty state"""
empty_pixmap = QPixmap(640, 480)
empty_pixmap.fill(Qt.black)
self.display.update_frame(empty_pixmap)
self.fps_label.setText("FPS: -- | Inference: -- ms")
self.status_label.setText("Ready")
@Slot(dict)
def update_stats(self, stats):
"""Update performance statistics display"""
# Extract values from stats dictionary
fps = stats.get('fps', 0.0)
detection_time = stats.get('detection_time', 0.0)
traffic_light_color = stats.get('traffic_light_color', 'unknown')
print(f"🟢 Stats Updated: FPS={fps:.2f}, Inference={detection_time:.2f}ms, Traffic Light={traffic_light_color}")
self.fps_label.setText(f"FPS: {fps:.1f}")
# Update status with traffic light information if available
if traffic_light_color != 'unknown':
# Create colorful text for traffic light
# Handle both dictionary and string formats
if isinstance(traffic_light_color, dict):
color_text = traffic_light_color.get("color", "unknown").upper()
else:
color_text = str(traffic_light_color).upper()
# Set text with traffic light information prominently displayed
self.status_label.setText(f"Inference: {detection_time:.1f} ms | 🚦 Traffic Light: {color_text}")
else:
self.status_label.setText(f"Inference: {detection_time:.1f} ms")
@Slot(np.ndarray, object, object, str, int)
def update_display_with_violations(self, frame, detections, violations, traffic_light_state, frame_idx):
"""
Update display with frame, detections, and violations overlay from controller logic
"""
# Draw overlay using the new logic (now in controller, not external)
violation_line_y = None
if violations and len(violations) > 0:
violation_line_y = violations[0]['details'].get('violation_line_y', None)
frame_with_overlay = self._draw_violation_overlay(frame, violations, violation_line_y)
pixmap = convert_cv_to_pixmap(frame_with_overlay)
self.display.update_frame(pixmap)
self.status_label.setText(f"Violations: {len(violations)} | Traffic Light: {traffic_light_state.upper()} | Frame: {frame_idx}")
def _draw_violation_overlay(self, frame, violations, violation_line_y=None, vehicle_tracks=None):
frame_copy = frame.copy()
violation_color = (0, 140, 255) # Orange
if violation_line_y is not None:
cv2.line(frame_copy, (0, violation_line_y), (frame.shape[1], violation_line_y), violation_color, 3)
cv2.putText(frame_copy, "VIOLATION LINE", (10, violation_line_y - 10), cv2.FONT_HERSHEY_SIMPLEX, 0.7, violation_color, 2)
for violation in violations:
bbox = violation['details']['bbox']
confidence = violation['details']['confidence']
vehicle_type = violation['details']['vehicle_type']
vehicle_id = violation.get('id', None)
x1, y1, x2, y2 = bbox
color = violation_color
label = f"VIOLATION: {vehicle_type.upper()}"
print(f"\033[93m[OVERLAY DRAW] Drawing violation overlay: ID={vehicle_id}, BBOX={bbox}, TYPE={vehicle_type}, CONF={confidence:.2f}\033[0m")
cv2.rectangle(frame_copy, (x1, y1), (x2, y2), color, 3)
cv2.putText(frame_copy, label, (x1, y1 - 40), cv2.FONT_HERSHEY_SIMPLEX, 0.7, color, 2)
cv2.putText(frame_copy, f"Confidence: {confidence:.2f}", (x1, y1 - 20), cv2.FONT_HERSHEY_SIMPLEX, 0.5, color, 2)
if vehicle_id is not None:
cv2.putText(frame_copy, f"ID: {vehicle_id}", (x1, y2 + 20), cv2.FONT_HERSHEY_SIMPLEX, 0.6, color, 2)
if vehicle_tracks is not None:
for track_id, track in vehicle_tracks.items():
for pos in track['positions']:
cv2.circle(frame_copy, pos, 3, (255, 0, 255), -1)
return frame_copy
@Slot(np.ndarray, list, list)
def update_display_np_with_violations(self, frame, detections, violators):
"""
Display annotated frame and highlight violators in orange, print violations to console.
Args:
frame (np.ndarray): Already-annotated frame from controller.
detections (list): List of all vehicle detections (with id, bbox).
violators (list): List of violator dicts (with id, bbox, etc.).
"""
print(f"🟢 Frame received in UI - update_display_np_with_violations called")
print(f"🔵 Frame info: type={type(frame)}, shape={getattr(frame, 'shape', 'None')}")
if frame is None or not isinstance(frame, np.ndarray) or frame.size == 0:
print("⚠️ Received None or empty frame in update_display_np_with_violations")
return
frame_disp = frame.copy()
# Draw orange boxes for violators
for v in violators:
bbox = v.get('bbox')
vid = v.get('id')
if bbox is not None and len(bbox) == 4:
x1, y1, x2, y2 = map(int, bbox)
cv2.rectangle(frame_disp, (x1, y1), (x2, y2), (0,140,255), 4)
cv2.putText(frame_disp, f"VIOLATION ID:{vid}", (x1, y1-10), cv2.FONT_HERSHEY_SIMPLEX, 0.8, (0,140,255), 2)
print(f"[VIOLATION] Vehicle {vid} crossed at bbox {bbox}")
pixmap = convert_cv_to_pixmap(frame_disp)
print("📺 Sending frame to display widget")
self.display.update_frame(pixmap)
print("✅ Frame passed to display widget successfully")
self.status_label.setText(f"Frame displayed: {frame.shape[1]}x{frame.shape[0]}, Violations: {len(violators)}")