| <<<<<<< HEAD | |
| import streamlit as st | |
| import cv2 | |
| import numpy as np | |
| import supervision as sv | |
| from ultralytics import YOLO | |
| import os | |
| from collections import defaultdict | |
| def ensure_dir(file_path): | |
| if not os.path.exists(file_path): | |
| os.makedirs(file_path) | |
| def is_point_in_polygon(point, polygon): | |
| return cv2.pointPolygonTest(polygon, (int(point[0]), int(point[1])), False) > 0 | |
| def process_video(input_video_path, output_video_path, polygons): | |
| model = YOLO('yolov8x-seg.pt') | |
| cap = cv2.VideoCapture(input_video_path) | |
| intruder_ids = set() | |
| ensure_dir(os.path.dirname(output_video_path)) | |
| if cap.isOpened(): | |
| width = int(cap.get(cv2.CAP_PROP_FRAME_WIDTH)) | |
| height = int(cap.get(cv2.CAP_PROP_FRAME_HEIGHT)) | |
| fourcc = cv2.VideoWriter_fourcc(*'avc1') | |
| out = cv2.VideoWriter(output_video_path, fourcc, 20.0, (width, height), True) | |
| poly_arrays = [np.array(polygon, np.int32) for polygon in polygons] | |
| while cap.isOpened(): | |
| success, frame = cap.read() | |
| if not success: | |
| break | |
| results = model.track(frame, conf=0.6, classes=None, persist=True, save=True, tracker="bytetrack.yaml") | |
| boxes = results[0].boxes.xywh.cpu() | |
| track_ids = results[0].boxes.id.int().cpu().tolist() | |
| classes = results[0].boxes.cls.int().cpu().numpy() | |
| annotated_frame = results[0].plot() if hasattr(results[0], 'plot') else frame | |
| for poly_array in poly_arrays: | |
| cv2.polylines(annotated_frame, [poly_array], True, (0, 255, 0), 3) | |
| for box, track_id, cls in zip(boxes, track_ids, classes): | |
| x, y, w, h = box | |
| centroid = (x + w / 2, y + h / 2) | |
| if cls != 19: | |
| for poly_array in poly_arrays: | |
| if is_point_in_polygon(centroid, poly_array): | |
| if track_id not in intruder_ids: | |
| intruder_ids.add(track_id) | |
| cv2.rectangle(annotated_frame, (int(x), int(y)), (int(x + w), int(y + h)), (0, 0, 255), 2) | |
| cv2.putText(annotated_frame, f"Intruder ID: {track_id}", (int(x), int(y) - 10), cv2.FONT_HERSHEY_SIMPLEX, 1, (0, 0, 255), 2) | |
| break | |
| intrusion_text = f"Total Intruders Detected: {len(intruder_ids)}" | |
| cv2.putText(annotated_frame, intrusion_text, (50, 50), cv2.FONT_HERSHEY_SIMPLEX, 1, (255, 0, 0), 2) | |
| out.write(annotated_frame) | |
| cap.release() | |
| out.release() | |
| def main(): | |
| st.title("Video Processing for Intrusion Detection") | |
| video_file = st.file_uploader("Upload a video", type=['mp4', 'avi']) | |
| if video_file is not None: | |
| output_folder = "output_videos" | |
| ensure_dir(output_folder) | |
| file_path = os.path.join(output_folder, "uploaded_video.mp4") | |
| file_name = os.path.join(output_folder, "processed_video.mp4") | |
| with open(file_path, "wb") as f: | |
| f.write(video_file.getbuffer()) | |
| polygons = [ | |
| np.array([ | |
| [110, 70],[1754, 62],[1754, 1062],[138, 1066],[110, 70] | |
| ]) | |
| ] | |
| if st.button("Process Video"): | |
| process_video(file_path, file_name, polygons) | |
| st.video(file_name) | |
| with open(file_name, "rb") as file: | |
| st.download_button( | |
| label="Download processed video", | |
| data=file, | |
| file_name="processed_video.mp4", | |
| mime="video/mp4" | |
| ) | |
| if __name__ == "__main__": | |
| main() | |
| ======= | |
| import streamlit as st | |
| import cv2 | |
| import numpy as np | |
| import supervision as sv | |
| from ultralytics import YOLO | |
| import os | |
| from collections import defaultdict | |
| def ensure_dir(file_path): | |
| if not os.path.exists(file_path): | |
| os.makedirs(file_path) | |
| def is_point_in_polygon(point, polygon): | |
| return cv2.pointPolygonTest(polygon, (int(point[0]), int(point[1])), False) > 0 | |
| def process_video(input_video_path, output_video_path, polygons): | |
| model = YOLO('yolov8x-seg.pt') | |
| cap = cv2.VideoCapture(input_video_path) | |
| intruder_ids = set() | |
| ensure_dir(os.path.dirname(output_video_path)) | |
| if cap.isOpened(): | |
| width = int(cap.get(cv2.CAP_PROP_FRAME_WIDTH)) | |
| height = int(cap.get(cv2.CAP_PROP_FRAME_HEIGHT)) | |
| fourcc = cv2.VideoWriter_fourcc(*'avc1') | |
| out = cv2.VideoWriter(output_video_path, fourcc, 20.0, (width, height), True) | |
| poly_arrays = [np.array(polygon, np.int32) for polygon in polygons] | |
| while cap.isOpened(): | |
| success, frame = cap.read() | |
| if not success: | |
| break | |
| results = model.track(frame, conf=0.6, classes=None, persist=True, save=True, tracker="bytetrack.yaml") | |
| boxes = results[0].boxes.xywh.cpu() | |
| track_ids = results[0].boxes.id.int().cpu().tolist() | |
| classes = results[0].boxes.cls.int().cpu().numpy() | |
| annotated_frame = results[0].plot() if hasattr(results[0], 'plot') else frame | |
| for poly_array in poly_arrays: | |
| cv2.polylines(annotated_frame, [poly_array], True, (0, 255, 0), 3) | |
| for box, track_id, cls in zip(boxes, track_ids, classes): | |
| x, y, w, h = box | |
| centroid = (x + w / 2, y + h / 2) | |
| if cls != 19: | |
| for poly_array in poly_arrays: | |
| if is_point_in_polygon(centroid, poly_array): | |
| if track_id not in intruder_ids: | |
| intruder_ids.add(track_id) | |
| cv2.rectangle(annotated_frame, (int(x), int(y)), (int(x + w), int(y + h)), (0, 0, 255), 2) | |
| cv2.putText(annotated_frame, f"Intruder ID: {track_id}", (int(x), int(y) - 10), cv2.FONT_HERSHEY_SIMPLEX, 1, (0, 0, 255), 2) | |
| break | |
| intrusion_text = f"Total Intruders Detected: {len(intruder_ids)}" | |
| cv2.putText(annotated_frame, intrusion_text, (50, 50), cv2.FONT_HERSHEY_SIMPLEX, 1, (255, 0, 0), 2) | |
| out.write(annotated_frame) | |
| cap.release() | |
| out.release() | |
| def main(): | |
| st.title("Video Processing for Intrusion Detection") | |
| video_file = st.file_uploader("Upload a video", type=['mp4', 'avi']) | |
| if video_file is not None: | |
| output_folder = "output_videos" | |
| ensure_dir(output_folder) | |
| file_path = os.path.join(output_folder, "uploaded_video.mp4") | |
| file_name = os.path.join(output_folder, "processed_video.mp4") | |
| with open(file_path, "wb") as f: | |
| f.write(video_file.getbuffer()) | |
| polygons = [ | |
| np.array([ | |
| [110, 70],[1754, 62],[1754, 1062],[138, 1066],[110, 70] | |
| ]) | |
| ] | |
| if st.button("Process Video"): | |
| process_video(file_path, file_name, polygons) | |
| st.video(file_name) | |
| with open(file_name, "rb") as file: | |
| st.download_button( | |
| label="Download processed video", | |
| data=file, | |
| file_name="processed_video.mp4", | |
| mime="video/mp4" | |
| ) | |
| if __name__ == "__main__": | |
| main() | |
| >>>>>>> d78b5b6f19f193037683178f33d0fd971846eef2 | |