Spaces:
Sleeping
Sleeping
Update app.py
Browse files
app.py
CHANGED
@@ -40,7 +40,7 @@ logging.basicConfig(
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# Globals
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paused = False
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frame_rate = 0.
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frame_count = 0
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log_entries = []
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crack_counts = []
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@@ -48,15 +48,10 @@ crack_severity_all = []
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last_frame = None
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last_detections = {}
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last_timestamp = ""
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last_detected_images = [] # Store up to 100+
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gps_coordinates = []
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video_loaded = False
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"under_construction": False,
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"operations_maintenance": False,
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"road_safety": False,
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"plantation": False
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}
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# Constants
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DEFAULT_VIDEO_PATH = "sample.mp4"
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@@ -85,26 +80,49 @@ def initialize_video(video_file=None):
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logging.info(status)
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return status
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def
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"""
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"""
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global service_toggles
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def monitor_feed():
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"""
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Main function to process video frames in real-time
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"""
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global paused, frame_count, last_frame, last_detections, last_timestamp, gps_coordinates, last_detected_images, video_loaded
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if not video_loaded:
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log_entries.append("Cannot start streaming: Video not loaded successfully.")
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logging.error("
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return None, json.dumps({"error": "Video not loaded. Please upload a video file."}, indent=2), "\n".join(log_entries[-10:]), None, None, last_detected_images
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if paused and last_frame is not None:
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@@ -113,158 +131,91 @@ def monitor_feed():
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else:
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try:
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frame = get_next_video_frame()
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except RuntimeError as e:
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log_entries.append(f"Error: {str(e)}")
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logging.error(f"
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return None, json.dumps(last_detections, indent=2), "\n".join(log_entries[-10:]), None, None, last_detected_images
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#
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original_frame = frame.copy()
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all_detected_items = []
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display_items = [] # Items to display in the live feed
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crack_items = [] # Track crack items separately for charts and gallery
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#
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earthwork_dets
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# Add numbered labels
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for item in om_items:
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item["label"] = f"Line {line_counter} - {item.get('type', 'Unknown').capitalize()} (Conf: {item.get('confidence', 0):.2f})"
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line_counter += 1
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all_detected_items.extend(om_items)
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display_items.extend(om_items)
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# Track cracks for charts and gallery
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crack_items = [item for item in om_items if item.get('type') == 'crack']
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except Exception as e:
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log_entries.append(f"Operations Maintenance Error: {str(e)}")
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logging.error(f"Operations Maintenance Error: {str(e)}")
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if service_toggles["road_safety"]:
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try:
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barrier_dets, _ = process_barriers(original_frame.copy())
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lighting_dets, _ = process_lighting(original_frame.copy())
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accident_dets, _ = process_accident_spots(original_frame.copy())
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rs_items = barrier_dets + lighting_dets + accident_dets
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# Add numbered labels
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for item in rs_items:
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item["label"] = f"Line {line_counter} - {item.get('type', 'Unknown').replace('_', ' ').capitalize()} (Conf: {item.get('confidence', 0):.2f})"
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line_counter += 1
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all_detected_items.extend(rs_items)
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display_items.extend(rs_items)
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except Exception as e:
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log_entries.append(f"Road Safety Error: {str(e)}")
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logging.error(f"Road Safety Error: {str(e)}")
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if service_toggles["plantation"]:
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try:
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plant_dets, _ = process_plants(original_frame.copy())
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health_dets, _ = process_plant_health(original_frame.copy())
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missing_dets, _ = process_missing_patches(original_frame.copy())
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pl_items = plant_dets + health_dets + missing_dets
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# Add numbered labels
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for item in pl_items:
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label_type = item.get('type', 'Unknown')
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if label_type == "plant" and "health" in item:
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label_str = f"Line {line_counter} - Plant (Health: {item['health'].capitalize()})"
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else:
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label_str = f"Line {line_counter} - {label_type.replace('_', ' ').capitalize()}"
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if "confidence" in item:
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label_str += f" (Conf: {item['confidence']:.2f})"
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item["label"] = label_str
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line_counter += 1
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all_detected_items.extend(pl_items)
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display_items.extend(pl_items)
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except Exception as e:
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log_entries.append(f"Plantation Error: {str(e)}")
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logging.error(f"Plantation Error: {str(e)}")
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generic_dets, _ = process_generic(original_frame.copy())
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# Add numbered labels
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for item in generic_dets:
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item["label"] = f"Line {line_counter} - {item.get('type', 'Unknown').capitalize()} (Conf: {item.get('confidence', 0):.2f})"
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line_counter += 1
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all_detected_items.extend(generic_dets)
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display_items.extend(generic_dets)
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except Exception as e:
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log_entries.append(f"Generic Detection Error: {str(e)}")
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logging.error(f"Generic Detection Error: {str(e)}")
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shadow_results = detect_shadows(original_frame.copy())
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shadow_dets = shadow_results["detections"]
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for item in shadow_dets:
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item["label"] = f"Line {line_counter} - Shadow (Conf: {item.get('confidence', 0):.2f})"
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line_counter += 1
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all_detected_items.extend(shadow_dets)
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display_items.extend(shadow_dets)
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except Exception as e:
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log_entries.append(f"Shadow Detection Error: {str(e)}")
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logging.error(f"Shadow Detection Error: {str(e)}")
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thermal_results = process_thermal(original_frame.copy())
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thermal_dets = thermal_results["detections"]
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for item in thermal_dets:
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item["label"] = f"Line {line_counter} - Thermal Anomaly (Conf: {item.get('confidence', 0):.2f})"
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line_counter += 1
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all_detected_items.extend(thermal_dets)
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display_items.extend(thermal_dets)
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except Exception as e:
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log_entries.append(f"Thermal Processing Error: {str(e)}")
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logging.error(f"Thermal Processing Error: {str(e)}")
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# Save frame with overlays
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metrics = update_metrics(all_detected_items)
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# Simulate GPS coordinates
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gps_coord = [17.385044 + random.uniform(-0.001, 0.001), 78.486671 + frame_count * 0.0001]
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gps_coordinates.append(gps_coord)
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# Save frame if
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if
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last_detected_images.
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# Combine detections for Salesforce
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all_detections = {
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dispatch_to_salesforce(all_detections, all_detections["timestamp"])
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except Exception as e:
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log_entries.append(f"Salesforce Dispatch Error: {str(e)}")
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logging.error(f"Salesforce
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# Save annotated frame
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frame_count += 1
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last_timestamp = datetime.now().strftime("%Y-%m-%d %H:%M:%S")
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last_frame = frame.copy()
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last_detections = metrics
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# Update logs and stats
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crack_detected = len(
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if
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crack_severity_all.extend([
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item[
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for item in
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if
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])
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crack_counts.append(crack_detected)
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if len(log_entries) > 100:
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cv2.putText(frame, f"Frame: {frame_count}", (10, 25), cv2.FONT_HERSHEY_SIMPLEX, 0.6, (0, 255, 0), 2)
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cv2.putText(frame, f"{last_timestamp}", (10, 50), cv2.FONT_HERSHEY_SIMPLEX, 0.6, (0, 255, 0), 2)
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# Generate charts (only
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line_chart = None
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pie_chart = None
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if
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line_chart = generate_line_chart()
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pie_chart = generate_pie_chart()
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}
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# Gradio UI
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with gr.Blocks(theme=gr.themes.Soft()) as app:
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gr.Markdown(
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# Video upload section
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with gr.Row():
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# Toggles for service categories
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with gr.Row():
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with gr.Column():
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uc_toggle = gr.Checkbox(label="Enable Under Construction Services", value=
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uc_status = gr.Textbox(label="Under Construction Status", value="
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with gr.Column():
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om_toggle = gr.Checkbox(label="Enable Operations Maintenance Services", value=
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om_status = gr.Textbox(label="Operations Maintenance Status", value="
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with gr.Column():
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rs_toggle = gr.Checkbox(label="Enable Road Safety Services", value=
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rs_status = gr.Textbox(label="Road Safety Status", value="
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with gr.Column():
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pl_toggle = gr.Checkbox(label="Enable Plantation Services", value=
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pl_status = gr.Textbox(label="Plantation Status", value="
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status_text = gr.Markdown("**Status:** 🟢 Ready (Upload a video to start)")
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with gr.Row():
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with gr.Column(scale=3):
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video_output = gr.Image(label="Live Drone Feed", width=640, height=480)
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with gr.Column(scale=1):
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detections_output = gr.Textbox(label="Detection Metrics", lines=4)
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with gr.Row():
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with gr.Column(scale=1):
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chart_output = gr.Plot(label="Crack Trend")
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pie_output = gr.Plot(label="Crack Severity")
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with gr.Row():
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captured_images = gr.Gallery(label="Detected
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with gr.Row():
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pause_btn = gr.Button("⏸️ Pause")
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resume_btn = gr.Button("▶️ Resume")
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frame_slider = gr.Slider(0.
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def toggle_pause():
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global paused
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outputs=[video_status]
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inputs=[gr.State("plantation"), pl_toggle],
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outputs=[pl_status]
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pause_btn.click(toggle_pause, outputs=status_text)
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resume_btn.click(toggle_resume, outputs=status_text)
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# Globals
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paused = False
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frame_rate = 0.1 # Faster frame rate for real-time feel
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frame_count = 0
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log_entries = []
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crack_counts = []
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last_frame = None
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last_detections = {}
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last_timestamp = ""
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last_detected_images = [] # Store up to 100+ frames with detections
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gps_coordinates = []
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video_loaded = False
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active_service = None # Track the active service category
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# Constants
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DEFAULT_VIDEO_PATH = "sample.mp4"
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logging.info(status)
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return status
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def set_active_service(service_name, uc_val, om_val, rs_val, pl_val):
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"""
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Set the active service category based on toggles.
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Only one service category can be active at a time.
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"""
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global active_service, service_toggles
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toggles = {
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"under_construction": uc_val,
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"operations_maintenance": om_val,
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"road_safety": rs_val,
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"plantation": pl_val
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}
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# Ensure only one toggle is active
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active_count = sum(toggles.values())
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if active_count > 1:
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log_entries.append("Error: Only one service category can be active at a time.")
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logging.error("Multiple service categories enabled simultaneously.")
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return None, "Error: Please enable only one service category at a time."
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# Set active service
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for service, enabled in toggles.items():
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if enabled:
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active_service = service
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log_entries.append(f"{service.replace('_', ' ').title()} Services Enabled")
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logging.info(f"{service} services enabled")
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return active_service, f"{service.replace('_', ' ').title()} Services: Enabled"
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active_service = None
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log_entries.append("No service category enabled.")
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logging.info("No service category enabled.")
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return None, "No Service Category Enabled"
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def monitor_feed():
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"""
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Main function to process video frames in real-time.
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Only the active service category processes the frame.
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"""
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global paused, frame_count, last_frame, last_detections, last_timestamp, gps_coordinates, last_detected_images, video_loaded
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if not video_loaded:
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log_entries.append("Cannot start streaming: Video not loaded successfully.")
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logging.error("Video not loaded successfully.")
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return None, json.dumps({"error": "Video not loaded. Please upload a video file."}, indent=2), "\n".join(log_entries[-10:]), None, None, last_detected_images
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if paused and last_frame is not None:
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else:
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try:
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frame = get_next_video_frame()
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if frame is None:
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raise RuntimeError("Failed to retrieve frame from video.")
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except RuntimeError as e:
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log_entries.append(f"Error: {str(e)}")
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logging.error(f"Frame retrieval error: {str(e)}")
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return None, json.dumps(last_detections, indent=2), "\n".join(log_entries[-10:]), None, None, last_detected_images
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# Initialize detected items list
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all_detected_items = []
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# Process only the active service category
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try:
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if active_service == "under_construction":
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earthwork_dets, frame = process_earthwork(frame)
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culvert_dets, frame = process_culverts(frame)
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bridge_pier_dets, frame = process_bridge_piers(frame)
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all_detected_items.extend(earthwork_dets + culvert_dets + bridge_pier_dets)
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elif active_service == "operations_maintenance":
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crack_items = detect_cracks_and_objects(frame)
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frame = overlay_boxes(frame, crack_items)
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pothole_dets, frame = process_potholes(frame)
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signage_dets, frame = process_signages(frame)
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157 |
+
all_detected_items.extend(crack_items + pothole_dets + signage_dets)
|
158 |
+
|
159 |
+
elif active_service == "road_safety":
|
160 |
+
barrier_dets, frame = process_barriers(frame)
|
161 |
+
lighting_dets, frame = process_lighting(frame)
|
162 |
+
accident_dets, frame = process_accident_spots(frame)
|
163 |
+
all_detected_items.extend(barrier_dets + lighting_dets + accident_dets)
|
164 |
+
|
165 |
+
elif active_service == "plantation":
|
166 |
+
plant_dets, frame = process_plants(frame)
|
167 |
+
health_dets, frame = process_plant_health(frame)
|
168 |
+
missing_dets, frame = process_missing_patches(frame)
|
169 |
+
all_detected_items.extend(plant_dets + health_dets + missing_dets)
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|
170 |
|
171 |
+
else:
|
172 |
+
# Fallback: Run generic detection if no service is active
|
173 |
+
generic_dets, frame = process_generic(frame)
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|
174 |
all_detected_items.extend(generic_dets)
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|
175 |
|
176 |
+
# Optional: Run shadow detection (affects all modes for better accuracy)
|
177 |
+
shadow_results = detect_shadows(frame)
|
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|
178 |
shadow_dets = shadow_results["detections"]
|
179 |
+
frame = shadow_results["frame"]
|
180 |
+
all_detected_items.extend(shadow_dets)
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|
181 |
|
182 |
+
# Optional: Run thermal processing if frame is grayscale (simulated check)
|
183 |
+
if len(frame.shape) == 2: # Grayscale frame (simulating thermal input)
|
184 |
+
thermal_results = process_thermal(frame)
|
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|
185 |
thermal_dets = thermal_results["detections"]
|
186 |
+
frame = thermal_results["frame"]
|
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|
187 |
all_detected_items.extend(thermal_dets)
|
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|
188 |
|
189 |
+
except Exception as e:
|
190 |
+
log_entries.append(f"Processing Error: {str(e)}")
|
191 |
+
logging.error(f"Processing error in {active_service}: {str(e)}")
|
192 |
+
all_detected_items = []
|
193 |
|
194 |
# Save frame with overlays
|
195 |
+
try:
|
196 |
+
cv2.imwrite(TEMP_IMAGE_PATH, frame, [int(cv2.IMWRITE_JPEG_QUALITY), 95])
|
197 |
+
except Exception as e:
|
198 |
+
log_entries.append(f"Error saving temp image: {str(e)}")
|
199 |
+
logging.error(f"Error saving temp image: {str(e)}")
|
200 |
+
|
201 |
metrics = update_metrics(all_detected_items)
|
202 |
|
203 |
# Simulate GPS coordinates
|
204 |
gps_coord = [17.385044 + random.uniform(-0.001, 0.001), 78.486671 + frame_count * 0.0001]
|
205 |
gps_coordinates.append(gps_coord)
|
206 |
|
207 |
+
# Save frame if there are detections (e.g., cracks, plants, etc.)
|
208 |
+
detection_types = {item.get("type") for item in all_detected_items if "type" in item}
|
209 |
+
if detection_types:
|
210 |
+
try:
|
211 |
+
captured_frame_path = os.path.join(CAPTURED_FRAMES_DIR, f"detected_{frame_count}.jpg")
|
212 |
+
cv2.imwrite(captured_frame_path, frame)
|
213 |
+
last_detected_images.append(captured_frame_path)
|
214 |
+
if len(last_detected_images) > 100:
|
215 |
+
last_detected_images.pop(0)
|
216 |
+
except Exception as e:
|
217 |
+
log_entries.append(f"Error saving captured frame: {str(e)}")
|
218 |
+
logging.error(f"Error saving captured frame: {str(e)}")
|
219 |
|
220 |
# Combine detections for Salesforce
|
221 |
all_detections = {
|
|
|
231 |
dispatch_to_salesforce(all_detections, all_detections["timestamp"])
|
232 |
except Exception as e:
|
233 |
log_entries.append(f"Salesforce Dispatch Error: {str(e)}")
|
234 |
+
logging.error(f"Salesforce dispatch error: {str(e)}")
|
235 |
|
236 |
# Save annotated frame
|
237 |
+
try:
|
238 |
+
frame_path = os.path.join(OUTPUT_DIR, f"frame_{frame_count:04d}.jpg")
|
239 |
+
cv2.imwrite(frame_path, frame)
|
240 |
+
except Exception as e:
|
241 |
+
log_entries.append(f"Error saving output frame: {str(e)}")
|
242 |
+
logging.error(f"Error saving output frame: {str(e)}")
|
243 |
|
244 |
frame_count += 1
|
245 |
last_timestamp = datetime.now().strftime("%Y-%m-%d %H:%M:%S")
|
246 |
last_frame = frame.copy()
|
247 |
last_detections = metrics
|
248 |
|
249 |
+
# Update logs and stats
|
250 |
+
crack_detected = len([item for item in all_detected_items if item.get("type") == "crack"]) if active_service == "operations_maintenance" else 0
|
251 |
+
if active_service == "operations_maintenance":
|
252 |
crack_severity_all.extend([
|
253 |
+
item["severity"]
|
254 |
+
for item in all_detected_items
|
255 |
+
if item.get("type") == "crack" and "severity" in item
|
256 |
])
|
257 |
|
258 |
+
log_message = f"{last_timestamp} - Frame {frame_count} - Detections: {len(all_detected_items)} - GPS: {gps_coord} - Avg Conf: {metrics.get('avg_confidence', 0):.2f}"
|
259 |
+
if crack_detected:
|
260 |
+
log_message += f" - Cracks: {crack_detected}"
|
261 |
+
log_entries.append(log_message)
|
262 |
+
logging.info(log_message)
|
263 |
crack_counts.append(crack_detected)
|
264 |
|
265 |
if len(log_entries) > 100:
|
|
|
274 |
cv2.putText(frame, f"Frame: {frame_count}", (10, 25), cv2.FONT_HERSHEY_SIMPLEX, 0.6, (0, 255, 0), 2)
|
275 |
cv2.putText(frame, f"{last_timestamp}", (10, 50), cv2.FONT_HERSHEY_SIMPLEX, 0.6, (0, 255, 0), 2)
|
276 |
|
277 |
+
# Generate charts (only for operations_maintenance)
|
278 |
line_chart = None
|
279 |
pie_chart = None
|
280 |
+
if active_service == "operations_maintenance":
|
281 |
line_chart = generate_line_chart()
|
282 |
pie_chart = generate_pie_chart()
|
283 |
|
|
|
371 |
}
|
372 |
|
373 |
# Gradio UI
|
374 |
+
with gr.Blocks(theme=gr.themes.Soft(primary_hue="blue", secondary_hue="green")) as app:
|
375 |
+
gr.Markdown(
|
376 |
+
"""
|
377 |
+
# 🛡️ NHAI Drone Road Inspection Dashboard
|
378 |
+
Monitor highway conditions in real-time using drone footage. Select a service category to analyze specific aspects of the road.
|
379 |
+
"""
|
380 |
+
)
|
381 |
|
382 |
# Video upload section
|
383 |
with gr.Row():
|
384 |
+
with gr.Column(scale=3):
|
385 |
+
video_input = gr.File(label="Upload Video File (e.g., sample.mp4)", file_types=["video"])
|
386 |
+
load_button = gr.Button("Load Video", variant="primary")
|
387 |
+
with gr.Column(scale=1):
|
388 |
+
video_status = gr.Textbox(
|
389 |
+
label="Video Load Status",
|
390 |
+
value="Please upload a video file or ensure 'sample.mp4' exists in the root directory.",
|
391 |
+
interactive=False
|
392 |
+
)
|
393 |
|
394 |
+
# Toggles for service categories with status indicators
|
395 |
with gr.Row():
|
396 |
with gr.Column():
|
397 |
+
uc_toggle = gr.Checkbox(label="Enable Under Construction Services", value=False)
|
398 |
+
uc_status = gr.Textbox(label="Under Construction Status", value="Disabled", interactive=False)
|
399 |
with gr.Column():
|
400 |
+
om_toggle = gr.Checkbox(label="Enable Operations Maintenance Services", value=False)
|
401 |
+
om_status = gr.Textbox(label="Operations Maintenance Status", value="Disabled", interactive=False)
|
402 |
with gr.Column():
|
403 |
+
rs_toggle = gr.Checkbox(label="Enable Road Safety Services", value=False)
|
404 |
+
rs_status = gr.Textbox(label="Road Safety Status", value="Disabled", interactive=False)
|
405 |
with gr.Column():
|
406 |
+
pl_toggle = gr.Checkbox(label="Enable Plantation Services", value=False)
|
407 |
+
pl_status = gr.Textbox(label="Plantation Status", value="Disabled", interactive=False)
|
408 |
|
409 |
status_text = gr.Markdown("**Status:** 🟢 Ready (Upload a video to start)")
|
410 |
|
411 |
with gr.Row():
|
412 |
with gr.Column(scale=3):
|
413 |
+
video_output = gr.Image(label="Live Drone Feed", width=640, height=480, elem_id="live-feed")
|
414 |
with gr.Column(scale=1):
|
415 |
+
detections_output = gr.Textbox(label="Detection Metrics", lines=4, interactive=False)
|
416 |
|
417 |
with gr.Row():
|
418 |
+
with gr.Column(scale=2):
|
419 |
+
logs_output = gr.Textbox(label="Live Logs", lines=8, interactive=False)
|
420 |
with gr.Column(scale=1):
|
421 |
+
chart_output = gr.Plot(label="Crack Trend (Operations Maintenance Only)")
|
422 |
+
pie_output = gr.Plot(label="Crack Severity (Operations Maintenance Only)")
|
423 |
|
424 |
with gr.Row():
|
425 |
+
captured_images = gr.Gallery(label="Detected Frames (Last 100+)", columns=4, rows=25, height="auto")
|
426 |
|
427 |
with gr.Row():
|
428 |
+
pause_btn = gr.Button("⏸️ Pause", variant="secondary")
|
429 |
+
resume_btn = gr.Button("▶️ Resume", variant="primary")
|
430 |
+
frame_slider = gr.Slider(0.05, 1.0, value=0.1, label="Frame Interval (seconds)", step=0.05)
|
431 |
+
|
432 |
+
# Add some custom CSS for better UX
|
433 |
+
gr.HTML("""
|
434 |
+
<style>
|
435 |
+
#live-feed {
|
436 |
+
border: 2px solid #4682B4;
|
437 |
+
border-radius: 10px;
|
438 |
+
}
|
439 |
+
.gr-button-primary {
|
440 |
+
background-color: #4682B4 !important;
|
441 |
+
}
|
442 |
+
.gr-button-secondary {
|
443 |
+
background-color: #FF6347 !important;
|
444 |
+
}
|
445 |
+
</style>
|
446 |
+
""")
|
447 |
|
448 |
def toggle_pause():
|
449 |
global paused
|
|
|
468 |
outputs=[video_status]
|
469 |
)
|
470 |
|
471 |
+
# Toggle change events
|
472 |
+
def update_toggles(uc_val, om_val, rs_val, pl_val):
|
473 |
+
active, status_message = set_active_service("toggle", uc_val, om_val, rs_val, pl_val)
|
474 |
+
uc_status_val = "Enabled" if active == "under_construction" else "Disabled"
|
475 |
+
om_status_val = "Enabled" if active == "operations_maintenance" else "Disabled"
|
476 |
+
rs_status_val = "Enabled" if active == "road_safety" else "Disabled"
|
477 |
+
pl_status_val = "Enabled" if active == "plantation" else "Disabled"
|
478 |
+
return (
|
479 |
+
uc_status_val, om_status_val, rs_status_val, pl_status_val, status_message
|
480 |
+
)
|
481 |
+
|
482 |
+
toggle_inputs = [uc_toggle, om_toggle, rs_toggle, pl_toggle]
|
483 |
+
toggle_outputs = [uc_status, om_status, rs_status, pl_status, status_text]
|
484 |
+
uc_toggle.change(update_toggles, inputs=toggle_inputs, outputs=toggle_outputs)
|
485 |
+
om_toggle.change(update_toggles, inputs=toggle_inputs, outputs=toggle_outputs)
|
486 |
+
rs_toggle.change(update_toggles, inputs=toggle_inputs, outputs=toggle_outputs)
|
487 |
+
pl_toggle.change(update_toggles, inputs=toggle_inputs, outputs=toggle_outputs)
|
|
|
|
|
|
|
488 |
|
489 |
pause_btn.click(toggle_pause, outputs=status_text)
|
490 |
resume_btn.click(toggle_resume, outputs=status_text)
|