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import os |
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os.system("pip install ultralytics") |
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from ultralytics import YOLO |
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import cv2 |
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import gradio as gr |
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import numpy as np |
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from ultralytics import YOLO |
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from PIL import Image |
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yolo_model = YOLO('yolov8n.pt') |
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TARGET_LABEL = 'parcel' |
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def vid_inf(vid_path, contour_thresh): |
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cap = cv2.VideoCapture(vid_path) |
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frame_width, frame_height = int(cap.get(3)), int(cap.get(4)) |
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fps = int(cap.get(cv2.CAP_PROP_FPS)) |
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frame_size = (frame_width, frame_height) |
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fourcc = cv2.VideoWriter_fourcc(*'mp4v') |
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output_video = "output_recorded.mp4" |
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out = cv2.VideoWriter(output_video, fourcc, fps, frame_size) |
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backSub = cv2.createBackgroundSubtractorMOG2(history=200, varThreshold=25, detectShadows=True) |
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count = 0 |
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while cap.isOpened(): |
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ret, frame = cap.read() |
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if not ret: |
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break |
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fg_mask = backSub.apply(frame) |
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retval, mask_thresh = cv2.threshold(fg_mask, 200, 255, cv2.THRESH_BINARY) |
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kernel = cv2.getStructuringElement(cv2.MORPH_ELLIPSE, (3, 3)) |
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mask_eroded = cv2.morphologyEx(mask_thresh, cv2.MORPH_OPEN, kernel) |
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contours, _ = cv2.findContours(mask_eroded, cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_SIMPLE) |
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large_contours = [cnt for cnt in contours if cv2.contourArea(cnt) > contour_thresh] |
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results = yolo_model(frame) |
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frame_out = frame.copy() |
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for result in results: |
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for id, box in enumerate(result.boxes.xyxy): |
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class_id = int(result.boxes.cls[id]) |
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label = yolo_model.names[class_id] |
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conf = result.boxes.conf[id] |
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if label == TARGET_LABEL and conf >= 0.5: |
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x1, y1, x2, y2 = map(int, box) |
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center = ((x1 + x2) // 2, (y1 + y2) // 2) |
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for cnt in large_contours: |
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if cv2.contourArea(cnt) > 500: |
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x, y, w, h = cv2.boundingRect(cnt) |
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if x1 < x < x2 and y1 < y < y2: |
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cv2.rectangle(frame_out, (x1, y1), (x2, y2), (0, 255, 255), 2) |
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cv2.putText(frame_out, label, (x1, y1 - 10), cv2.FONT_HERSHEY_SIMPLEX, 0.5, (255, 255, 0), 2) |
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frame_out_final = cv2.cvtColor(frame_out, cv2.COLOR_BGR2RGB) |
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out.write(frame_out) |
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if not count % 12: |
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yield Image.fromarray(frame_out_final), None |
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count += 1 |
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cap.release() |
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out.release() |
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cv2.destroyAllWindows() |
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yield None, output_video |
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input_video = gr.Video(label="Input Video") |
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contour_thresh = gr.Slider(0, 10000, value=500, label="Contour Threshold") |
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output_frames = gr.Image(label="Output Frames") |
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output_video_file = gr.Video(label="Output Video") |
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app = gr.Interface( |
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fn=vid_inf, |
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inputs=[input_video, contour_thresh], |
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outputs=[output_frames, output_video_file], |
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title="YOLO Motion Detection - Parcel Focus", |
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description='A video analysis tool using YOLOv8 for parcel detection with motion tracking.', |
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allow_flagging="never", |
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cache_examples=False, |
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) |
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app.queue().launch() |
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