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Runtime error
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·
faec315
1
Parent(s):
b2d9ea7
Update app.py
Browse files
app.py
CHANGED
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@@ -16,6 +16,7 @@ import piexif
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import zipfile
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from reportlab.lib.pagesizes import letter
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from reportlab.pdfgen import canvas
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os.environ["YOLO_CONFIG_DIR"] = "/tmp/Ultralytics"
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logging.basicConfig(filename="app.log", level=logging.INFO, format="%(asctime)s - %(levelname)s - %(message)s")
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@@ -44,58 +45,137 @@ model = YOLO('./data/best.pt').to(device)
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if device == "cuda":
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model.half()
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def generate_pdf_report(summary: str, screenshots: List[str], log_results: List[str], chart_path: str, map_path: str, pdf_path: str):
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c = canvas.Canvas(pdf_path, pagesize=letter)
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width, height = letter
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line_height = 14
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# Title Page
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c.drawString(margin_left, y_position, "Drone Survey Analysis Report")
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#
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c.setFont("Helvetica", 12)
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# Add Logs for Top 5 Images (New Page)
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c.drawString(margin_left, y_position, "Log Results for Top 5 Images:")
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y_position -= line_height
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for log in log_results[:5]: # Display top 5 logs
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c.drawString(margin_left, y_position, log)
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y_position -= line_height
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c.
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c.drawString(margin_left, y_position, "Detection Trend Chart:")
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c.drawImage(chart_path, margin_left, y_position - 100, width=400, height=300)
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y_position -= 300 # Space after chart
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c.showPage() # Create a new page
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# Add Map Image (New Page)
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c.drawString(margin_left, y_position, "Issue Locations Map:")
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c.drawImage(map_path, margin_left, y_position - 100, width=400, height=300)
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c.save()
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@@ -126,7 +206,7 @@ def zip_all_outputs(report_path: str, video_path: str, chart_path: str, map_path
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def generate_map(gps_coords: List[List[float]], items: List[Dict[str, Any]]) -> str:
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map_path = os.path.join(OUTPUT_DIR, f"map_{datetime.now().strftime('%Y%m%d_%H%M%S')}.png")
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plt.figure(figsize=(5, 5))
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plt.scatter([x[1] for x in gps_coords], [x[0] for x in gps_coords], c='blue', label='GPS Points')
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plt.title("Issue Locations Map")
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plt.xlabel("Longitude")
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@@ -189,7 +269,7 @@ def update_metrics(detections: List[Dict[str, Any]]) -> Dict[str, Any]:
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def generate_line_chart(detections: List[Dict[str, Any]]) -> Optional[str]:
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if not detections:
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return None
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plt.figure(figsize=(5, 3))
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detection_times = [det["frame"] for det in detections]
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detection_counts = [det["conf"] for det in detections]
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plt.plot(detection_times, detection_counts, marker='o', color='#FF8C00')
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@@ -203,10 +283,6 @@ def generate_line_chart(detections: List[Dict[str, Any]]) -> Optional[str]:
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plt.close()
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return chart_path
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# The rest of the process_video function remains the same as before
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def process_video(video, resize_width=4000, resize_height=3000, frame_skip=5):
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global frame_count, last_metrics, detected_counts, detected_issues, gps_coordinates, log_entries
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frame_count = 0
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@@ -251,6 +327,7 @@ def process_video(video, resize_width=4000, resize_height=3000, frame_skip=5):
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detection_frame_count = 0
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output_frame_count = 0
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last_annotated_frame = None
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while True:
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ret, frame = cap.read()
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@@ -297,6 +374,8 @@ def process_video(video, resize_width=4000, resize_height=3000, frame_skip=5):
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"path": os.path.join(CAPTURED_FRAMES_DIR, f"detected_{frame_count:06d}.jpg")
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})
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log_entries.append(f"Frame {frame_count} at {timestamp_str}: Detected {label} with confidence {conf:.2f}")
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if frame_detections:
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detection_frame_count += 1
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@@ -305,7 +384,7 @@ def process_video(video, resize_width=4000, resize_height=3000, frame_skip=5):
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if cv2.imwrite(captured_frame_path, annotated_frame):
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if write_geotag(captured_frame_path, gps_coord):
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detected_issues.append(captured_frame_path)
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if len(detected_issues) > 5:
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detected_issues.pop(0)
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else:
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log_entries.append(f"Frame {frame_count}: Geotagging failed")
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chart_path = generate_line_chart(all_detections)
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map_path = generate_map(gps_coordinates[-5:], all_detections)
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# Generate the report
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pdf_path = f"{OUTPUT_DIR}/drone_analysis_report_{datetime.now().strftime('%Y%m%d_%H%M%S')}.pdf"
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generate_pdf_report(
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log_entries.append(f"Processing completed in {total_time:.2f} seconds")
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return (
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output_path,
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json.dumps(last_metrics, indent=2),
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"\n".join(log_entries[-10:]),
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detected_issues,
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chart_path,
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map_path,
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pdf_path
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)
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with gr.Blocks(theme=gr.themes.Soft(primary_hue="orange")) as iface:
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import zipfile
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from reportlab.lib.pagesizes import letter
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from reportlab.pdfgen import canvas
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from reportlab.lib.units import inch
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os.environ["YOLO_CONFIG_DIR"] = "/tmp/Ultralytics"
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logging.basicConfig(filename="app.log", level=logging.INFO, format="%(asctime)s - %(levelname)s - %(message)s")
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if device == "cuda":
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model.half()
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def generate_pdf_report(summary: str, screenshots: List[str], log_results: List[str], chart_path: str, map_path: str, pdf_path: str, additional_results: List[str] = None):
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c = canvas.Canvas(pdf_path, pagesize=letter)
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width, height = letter
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margin_left = 0.75 * inch
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margin_right = 0.75 * inch
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margin_top = height - 0.75 * inch
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margin_bottom = 0.75 * inch
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line_height = 14
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max_text_width = width - margin_left - margin_right
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image_width = 5 * inch
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image_height = 3.5 * inch
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def new_page():
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nonlocal y_position
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c.showPage()
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y_position = margin_top
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c.setFont("Helvetica", 12)
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def draw_wrapped_text(text, x, y, max_width):
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nonlocal y_position
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words = text.split()
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line = ""
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for word in words:
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test_line = f"{line} {word}".strip()
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if c.stringWidth(test_line, "Helvetica", 12) <= max_width:
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line = test_line
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else:
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if line:
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c.drawString(x, y, line)
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y -= line_height
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if y < margin_bottom:
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new_page()
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y = y_position
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line = word
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else:
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c.drawString(x, y, word)
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y -= line_height
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if y < margin_bottom:
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new_page()
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y = y_position
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if line:
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c.drawString(x, y, line)
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y -= line_height
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return y
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# Title Page
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y_position = margin_top
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c.setFont("Helvetica-Bold", 16)
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c.drawString(margin_left, y_position, "Drone Survey Analysis Report")
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c.setFont("Helvetica", 12)
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y_position -= 30
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c.drawString(margin_left, y_position, f"Generated on: {datetime.now().strftime('%Y-%m-%d %H:%M:%S')}")
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new_page()
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# Summary Page
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c.setFont("Helvetica-Bold", 14)
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c.drawString(margin_left, y_position, "Summary")
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y_position -= line_height * 1.5
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c.setFont("Helvetica", 12)
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y_position = draw_wrapped_text(summary, margin_left, y_position, max_text_width)
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y_position -= 20
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new_page()
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# Log Results Page
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c.setFont("Helvetica-Bold", 14)
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c.drawString(margin_left, y_position, "Log Results for Top 5 Images")
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y_position -= line_height * 1.5
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c.setFont("Helvetica", 12)
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for log in log_results[:5]:
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y_position = draw_wrapped_text(log, margin_left, y_position, max_text_width)
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y_position -= line_height
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if y_position < margin_bottom:
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new_page()
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y_position -= 20
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new_page()
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# Screenshots Page
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c.setFont("Helvetica-Bold", 14)
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c.drawString(margin_left, y_position, "Incident Screenshots")
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y_position -= line_height * 1.5
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c.setFont("Helvetica", 12)
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for screenshot in screenshots[:5]:
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if os.path.exists(screenshot):
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c.drawImage(screenshot, margin_left, y_position - image_height, width=image_width, height=image_height, preserveAspectRatio=True)
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y_position -= image_height + 20
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if y_position < margin_bottom:
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new_page()
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else:
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y_position = draw_wrapped_text(f"Image not found: {screenshot}", margin_left, y_position, max_text_width)
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y_position -= line_height
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if y_position < margin_bottom:
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new_page()
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new_page()
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# Chart Page
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c.setFont("Helvetica-Bold", 14)
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c.drawString(margin_left, y_position, "Detection Trend Chart")
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y_position -= line_height * 1.5
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c.setFont("Helvetica", 12)
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if os.path.exists(chart_path):
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c.drawImage(chart_path, margin_left, y_position - 4 * inch, width=4 * inch, height=3 * inch, preserveAspectRatio=True)
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y_position -= 4 * inch + 20
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else:
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y_position = draw_wrapped_text("Chart not found", margin_left, y_position, max_text_width)
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y_position -= line_height
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new_page()
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# Map Page
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c.setFont("Helvetica-Bold", 14)
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c.drawString(margin_left, y_position, "Issue Locations Map")
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y_position -= line_height * 1.5
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c.setFont("Helvetica", 12)
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if os.path.exists(map_path):
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c.drawImage(map_path, margin_left, y_position - 4 * inch, width=4 * inch, height=3 * inch, preserveAspectRatio=True)
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y_position -= 4 * inch + 20
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else:
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y_position = draw_wrapped_text("Map not found", margin_left, y_position, max_text_width)
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y_position -= line_height
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new_page()
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# Additional Results Page
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if additional_results:
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c.setFont("Helvetica-Bold", 14)
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c.drawString(margin_left, y_position, "Additional Analysis Results")
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y_position -= line_height * 1.5
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c.setFont("Helvetica", 12)
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for result in additional_results:
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y_position = draw_wrapped_text(result, margin_left, y_position, max_text_width)
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y_position -= line_height
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if y_position < margin_bottom:
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new_page()
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c.save()
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def generate_map(gps_coords: List[List[float]], items: List[Dict[str, Any]]) -> str:
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map_path = os.path.join(OUTPUT_DIR, f"map_{datetime.now().strftime('%Y%m%d_%H%M%S')}.png")
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plt.figure(figsize=(5, 5))
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plt.scatter([x[1] for x in gps_coords], [x[0] for x in gps_coords], c='blue', label='GPS Points')
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plt.title("Issue Locations Map")
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plt.xlabel("Longitude")
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def generate_line_chart(detections: List[Dict[str, Any]]) -> Optional[str]:
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if not detections:
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return None
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plt.figure(figsize=(5, 3))
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detection_times = [det["frame"] for det in detections]
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detection_counts = [det["conf"] for det in detections]
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plt.plot(detection_times, detection_counts, marker='o', color='#FF8C00')
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plt.close()
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return chart_path
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def process_video(video, resize_width=4000, resize_height=3000, frame_skip=5):
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global frame_count, last_metrics, detected_counts, detected_issues, gps_coordinates, log_entries
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frame_count = 0
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detection_frame_count = 0
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output_frame_count = 0
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last_annotated_frame = None
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additional_results = []
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while True:
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ret, frame = cap.read()
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"path": os.path.join(CAPTURED_FRAMES_DIR, f"detected_{frame_count:06d}.jpg")
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})
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log_entries.append(f"Frame {frame_count} at {timestamp_str}: Detected {label} with confidence {conf:.2f}")
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if label == "Pothole":
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additional_results.append(f"Pothole detected with quality score: {conf:.2f}")
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if frame_detections:
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detection_frame_count += 1
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if cv2.imwrite(captured_frame_path, annotated_frame):
|
| 385 |
if write_geotag(captured_frame_path, gps_coord):
|
| 386 |
detected_issues.append(captured_frame_path)
|
| 387 |
+
if len(detected_issues) > 5:
|
| 388 |
detected_issues.pop(0)
|
| 389 |
else:
|
| 390 |
log_entries.append(f"Frame {frame_count}: Geotagging failed")
|
|
|
|
| 431 |
chart_path = generate_line_chart(all_detections)
|
| 432 |
map_path = generate_map(gps_coordinates[-5:], all_detections)
|
| 433 |
|
| 434 |
+
# Generate the report with additional results
|
| 435 |
pdf_path = f"{OUTPUT_DIR}/drone_analysis_report_{datetime.now().strftime('%Y%m%d_%H%M%S')}.pdf"
|
| 436 |
+
generate_pdf_report(
|
| 437 |
+
"Drone analysis completed. Top 5 detections included.",
|
| 438 |
+
detected_issues,
|
| 439 |
+
log_entries,
|
| 440 |
+
chart_path,
|
| 441 |
+
map_path,
|
| 442 |
+
pdf_path,
|
| 443 |
+
additional_results
|
| 444 |
+
)
|
| 445 |
|
| 446 |
log_entries.append(f"Processing completed in {total_time:.2f} seconds")
|
| 447 |
|
| 448 |
return (
|
| 449 |
+
output_path,
|
| 450 |
+
json.dumps(last_metrics, indent=2),
|
| 451 |
+
"\n".join(log_entries[-10:]),
|
| 452 |
+
detected_issues,
|
| 453 |
+
chart_path,
|
| 454 |
+
map_path,
|
| 455 |
+
pdf_path
|
| 456 |
)
|
| 457 |
|
| 458 |
with gr.Blocks(theme=gr.themes.Soft(primary_hue="orange")) as iface:
|