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Update app.py
Browse files
app.py
CHANGED
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@@ -4,6 +4,7 @@ import time
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import os
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import json
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import random
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from datetime import datetime
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from collections import Counter
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from services.video_service import get_next_video_frame, reset_video_index, preload_video, release_video
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@@ -30,6 +31,13 @@ from services.plantation.plant_count import process_plants
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from services.plantation.plant_health import process_plant_health
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from services.plantation.missing_patch_check import process_missing_patches
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# Globals
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paused = False
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frame_rate = 0.5 # Process every 0.5 seconds for real-time feel
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@@ -45,7 +53,7 @@ gps_coordinates = []
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video_loaded = False
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service_toggles = {
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"under_construction": False,
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"operations_maintenance":
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"road_safety": False,
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"plantation": False
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}
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@@ -69,10 +77,12 @@ def initialize_video(video_file=None):
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if video_file is not None:
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video_path = video_file.name
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log_entries.append(f"Using uploaded video: {video_path}")
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status = preload_video(video_path)
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video_loaded = "Error" not in status
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log_entries.append(status)
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return status
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def toggle_service(service_name, value):
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"""
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global service_toggles
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service_toggles[service_name] = value
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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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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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@@ -102,54 +115,140 @@ def monitor_feed():
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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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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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all_detected_items = []
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#
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if service_toggles["under_construction"]:
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if service_toggles["operations_maintenance"]:
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if service_toggles["road_safety"]:
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if service_toggles["plantation"]:
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# Optional: Run thermal processing if frame is grayscale (simulated check)
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if len(
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# Save frame with overlays
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cv2.imwrite(TEMP_IMAGE_PATH, frame, [int(cv2.IMWRITE_JPEG_QUALITY), 95])
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@@ -160,7 +259,7 @@ def monitor_feed():
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gps_coordinates.append(gps_coord)
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# Save frame if cracks are detected (only if operations_maintenance is enabled)
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if service_toggles["operations_maintenance"] and
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captured_frame_path = os.path.join(CAPTURED_FRAMES_DIR, f"crack_{frame_count}.jpg")
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cv2.imwrite(captured_frame_path, frame)
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last_detected_images.append(captured_frame_path)
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@@ -177,7 +276,11 @@ def monitor_feed():
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}
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# Dispatch to Salesforce
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# Save annotated frame
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frame_path = os.path.join(OUTPUT_DIR, f"frame_{frame_count:04d}.jpg")
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last_detections = metrics
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# Update logs and stats (focus on cracks if operations_maintenance is enabled)
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crack_detected =
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if service_toggles["operations_maintenance"]:
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crack_detected = len([item for item in all_detected_items if 'type' in item and item['type'] == 'crack'])
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crack_severity_all.extend([
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item['severity']
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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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@@ -326,7 +430,7 @@ with gr.Blocks(theme=gr.themes.Soft()) as app:
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uc_status = gr.Textbox(label="Under Construction Status", value="Under Construction Services: Disabled")
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with gr.Column():
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om_toggle = gr.Checkbox(label="Enable Operations Maintenance Services", value=service_toggles["operations_maintenance"])
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om_status = gr.Textbox(label="Operations Maintenance Status", value="Operations Maintenance Services:
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with gr.Column():
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rs_toggle = gr.Checkbox(label="Enable Road Safety Services", value=service_toggles["road_safety"])
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rs_status = gr.Textbox(label="Road Safety Status", value="Road Safety Services: Disabled")
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import os
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import json
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import random
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import logging
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from datetime import datetime
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from collections import Counter
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from services.video_service import get_next_video_frame, reset_video_index, preload_video, release_video
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from services.plantation.plant_health import process_plant_health
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from services.plantation.missing_patch_check import process_missing_patches
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# Setup logging
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logging.basicConfig(
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filename="app.log",
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level=logging.INFO,
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format="%(asctime)s - %(levelname)s - %(message)s"
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)
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# Globals
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paused = False
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frame_rate = 0.5 # Process every 0.5 seconds for real-time feel
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video_loaded = False
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service_toggles = {
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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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if video_file is not None:
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video_path = video_file.name
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log_entries.append(f"Using uploaded video: {video_path}")
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logging.info(f"Using uploaded video: {video_path}")
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status = preload_video(video_path)
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video_loaded = "Error" not in status
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log_entries.append(status)
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logging.info(status)
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return status
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def toggle_service(service_name, value):
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"""
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global service_toggles
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service_toggles[service_name] = value
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status_msg = f"{service_name.replace('_', ' ').title()} Services {'Enabled' if value else 'Disabled'}"
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log_entries.append(status_msg)
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logging.info(status_msg)
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return status_msg
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def monitor_feed():
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"""
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Main function to process video frames in real-time, showing only enabled service detections.
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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("Cannot start streaming: 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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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"Video Frame 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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# Reset frame for overlay
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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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# Counter for numbered labels, reset per frame
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line_counter = 1
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# Process enabled services
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if service_toggles["under_construction"]:
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try:
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earthwork_dets, _ = process_earthwork(original_frame.copy())
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culvert_dets, _ = process_culverts(original_frame.copy())
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bridge_pier_dets, _ = process_bridge_piers(original_frame.copy())
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uc_items = earthwork_dets + culvert_dets + bridge_pier_dets
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# Add numbered labels
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for item in uc_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(uc_items)
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display_items.extend(uc_items)
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except Exception as e:
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log_entries.append(f"Under Construction Error: {str(e)}")
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logging.error(f"Under Construction Error: {str(e)}")
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if service_toggles["operations_maintenance"]:
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try:
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crack_dets = detect_cracks_and_objects(original_frame.copy())
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pothole_dets, _ = process_potholes(original_frame.copy())
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signage_dets, _ = process_signages(original_frame.copy())
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om_items = crack_dets + pothole_dets + signage_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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# Fallback: Run generic detection if no services are enabled
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if not any(service_toggles.values()) or not all_detected_items:
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try:
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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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# Optional: Run shadow detection (only log results for now)
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try:
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shadow_results = detect_shadows(original_frame.copy())
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shadow_dets = shadow_results["detections"]
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# Add numbered labels if shadows are to be displayed
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if any(service_toggles.values()): # Only append if a service is enabled
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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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# Optional: Run thermal processing if frame is grayscale (simulated check)
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if len(original_frame.shape) == 2:
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try:
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thermal_results = process_thermal(original_frame.copy())
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thermal_dets = thermal_results["detections"]
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# Add numbered labels
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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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# Overlay only the display_items on the frame
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| 249 |
+
frame = original_frame.copy()
|
| 250 |
+
if display_items:
|
| 251 |
+
frame = overlay_boxes(frame, display_items)
|
| 252 |
|
| 253 |
# Save frame with overlays
|
| 254 |
cv2.imwrite(TEMP_IMAGE_PATH, frame, [int(cv2.IMWRITE_JPEG_QUALITY), 95])
|
|
|
|
| 259 |
gps_coordinates.append(gps_coord)
|
| 260 |
|
| 261 |
# Save frame if cracks are detected (only if operations_maintenance is enabled)
|
| 262 |
+
if service_toggles["operations_maintenance"] and crack_items:
|
| 263 |
captured_frame_path = os.path.join(CAPTURED_FRAMES_DIR, f"crack_{frame_count}.jpg")
|
| 264 |
cv2.imwrite(captured_frame_path, frame)
|
| 265 |
last_detected_images.append(captured_frame_path)
|
|
|
|
| 276 |
}
|
| 277 |
|
| 278 |
# Dispatch to Salesforce
|
| 279 |
+
try:
|
| 280 |
+
dispatch_to_salesforce(all_detections, all_detections["timestamp"])
|
| 281 |
+
except Exception as e:
|
| 282 |
+
log_entries.append(f"Salesforce Dispatch Error: {str(e)}")
|
| 283 |
+
logging.error(f"Salesforce Dispatch Error: {str(e)}")
|
| 284 |
|
| 285 |
# Save annotated frame
|
| 286 |
frame_path = os.path.join(OUTPUT_DIR, f"frame_{frame_count:04d}.jpg")
|
|
|
|
| 292 |
last_detections = metrics
|
| 293 |
|
| 294 |
# Update logs and stats (focus on cracks if operations_maintenance is enabled)
|
| 295 |
+
crack_detected = len(crack_items)
|
| 296 |
if service_toggles["operations_maintenance"]:
|
|
|
|
| 297 |
crack_severity_all.extend([
|
| 298 |
item['severity']
|
| 299 |
+
for item in crack_items
|
| 300 |
+
if 'severity' in item
|
| 301 |
])
|
| 302 |
|
| 303 |
+
log_msg = f"{last_timestamp} - Frame {frame_count} - Cracks: {crack_detected} - Total Displayed Detections: {len(display_items)} - GPS: {gps_coord} - Avg Conf: {metrics['avg_confidence']:.2f}"
|
| 304 |
+
log_entries.append(log_msg)
|
| 305 |
+
logging.info(log_msg)
|
| 306 |
crack_counts.append(crack_detected)
|
| 307 |
|
| 308 |
if len(log_entries) > 100:
|
|
|
|
| 430 |
uc_status = gr.Textbox(label="Under Construction Status", value="Under Construction Services: Disabled")
|
| 431 |
with gr.Column():
|
| 432 |
om_toggle = gr.Checkbox(label="Enable Operations Maintenance Services", value=service_toggles["operations_maintenance"])
|
| 433 |
+
om_status = gr.Textbox(label="Operations Maintenance Status", value="Operations Maintenance Services: Disabled")
|
| 434 |
with gr.Column():
|
| 435 |
rs_toggle = gr.Checkbox(label="Enable Road Safety Services", value=service_toggles["road_safety"])
|
| 436 |
rs_status = gr.Textbox(label="Road Safety Status", value="Road Safety Services: Disabled")
|