96 lines
No EOL
3.4 KiB
Python
96 lines
No EOL
3.4 KiB
Python
import cv2
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from websocket import create_connection
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import argparse
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import math
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from ultralytics import YOLO
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# object classes
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classNames = ["person", "bicycle", "car", "motorbike", "aeroplane", "bus", "train", "truck", "boat",
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"traffic light", "fire hydrant", "stop sign", "parking meter", "bench", "bird", "cat",
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"dog", "horse", "sheep", "cow", "elephant", "bear", "zebra", "giraffe", "backpack", "umbrella",
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"handbag", "tie", "suitcase", "frisbee", "skis", "snowboard", "sports ball", "kite", "baseball bat",
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"baseball glove", "skateboard", "surfboard", "tennis racket", "bottle", "wine glass", "cup",
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"fork", "knife", "spoon", "bowl", "banana", "apple", "sandwich", "orange", "broccoli",
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"carrot", "hot dog", "pizza", "donut", "cake", "chair", "sofa", "pottedplant", "bed",
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"diningtable", "toilet", "tvmonitor", "laptop", "mouse", "remote", "keyboard", "cell phone",
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"microwave", "oven", "toaster", "sink", "refrigerator", "book", "clock", "vase", "scissors",
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"teddy bear", "hair drier", "toothbrush"
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]
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def main(websocket_addr):
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# Connect to websocket server
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ws = create_connection(websocket_addr)
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handshake = ws.recv()
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if handshake == "Type?":
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ws.send("Type: Automated")
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else:
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ws.close()
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return
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print("Handshake complete")
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# Load YOLO model
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model = YOLO('yolov8x.pt') # Load an official Detect model
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# Open webcam
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cap = cv2.VideoCapture(0)
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cap.set(3, 640)
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cap.set(4, 480)
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while cap.isOpened():
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ret, frame = cap.read()
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frame = cv2.resize(frame, (640, 480))
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if not ret:
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break
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# Perform object detection
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results = model.track(frame, persist=True)
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for r in results:
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lines = ""
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boxes = r.boxes
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for box in boxes:
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if box.cls[0].item() == 0 and not box.id is None:
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# bounding box
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id = box.id.int().cpu().tolist()
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x1, y1, x2, y2 = box.xyxy[0]
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x1, y1, x2, y2 = int(x1), int(y1), int(x2), int(y2) # convert to int values
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# put box in cam
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cv2.rectangle(frame, (x1, y1), (x2, y2), (255, 0, 255), 3)
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# class name
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cls = int(box.cls[0])
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# object details
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org = [x1, y1]
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org2 = [x1, y1+50]
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font = cv2.FONT_HERSHEY_SIMPLEX
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fontScale = 1
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color = (255, 0, 0)
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color_w = (255, 255, 255)
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thickness = 2
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cv2.putText(frame, classNames[cls], org, font, fontScale, color, thickness)
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cv2.putText(frame, str(id), org2, font, fontScale, color_w, thickness)
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lines += f"{id} {x1}:{y1} {x2}:{y2}\n"
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ws.send(lines)
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cv2.imshow('Webcam', frame)
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if cv2.waitKey(1) == ord('q'):
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break
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cap.release()
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cv2.destroyAllWindows()
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if __name__ == "__main__":
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parser = argparse.ArgumentParser(description='Detect people from webcam feed and send data to websocket server')
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parser.add_argument('websocket_addr', type=str, help='Websocket server address')
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args = parser.parse_args()
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main(args.websocket_addr) |