77 lines
2.7 KiB
Python
77 lines
2.7 KiB
Python
import cv2
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import numpy as np
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from ultralytics import YOLO
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import cvzone
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device = 'cuda'
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# Load the YOLO11 model
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model = YOLO("yolo11m-pecan.pt")
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# Open the video file (use video file or webcam, here using webcam)
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cap = cv2.VideoCapture(0)
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cy1=550
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offset=60
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idDict={}
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pecanCount = 0
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# Define the desired resolution and FPS
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width, height = 1280, 720
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# Set the resolution and other properties for each camera
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cap.set(cv2.CAP_PROP_FRAME_WIDTH, width)
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cap.set(cv2.CAP_PROP_FRAME_HEIGHT, height)
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while True:
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ret,frame = cap.read()
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if not ret:
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break
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# Define the black box position (adjust as needed)
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top_left = (0, 0)
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bottom_right = (1280, 220)
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# Draw a black rectangle (filled)
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cv2.rectangle(frame, top_left, bottom_right, (0, 0, 0), thickness=-1)
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# Run YOLO11 tracking on the frame, persisting tracks between frames
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results = model.track(frame, persist=True,classes=0,device = device)
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# Check if there are any boxes in the results
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if results[0].boxes is not None and results[0].boxes.id is not None:
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# Get the boxes (x, y, w, h), class IDs, track IDs, and confidences
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boxes = results[0].boxes.xyxy.int().cpu().tolist() # Bounding boxes
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class_ids = results[0].boxes.cls.int().cpu().tolist() # Class IDs
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track_ids = results[0].boxes.id.int().cpu().tolist() # Track IDs
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confidences = results[0].boxes.conf.cpu().tolist() # Confidence score
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for box, class_id, track_id, conf in zip(boxes, class_ids, track_ids, confidences):
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x1, y1, x2, y2 = box
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cy = int(y1+y2)//2
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if track_id in idDict.keys():
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cv2.rectangle(frame,(x1,y1),(x2,y2),(255,255,255),2)
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cvzone.putTextRect(frame,f'{idDict[track_id]}',(x1,y2),1,1)
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else:
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cv2.rectangle(frame,(x1,y1),(x2,y2),(0,255,0),2)
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# cvzone.putTextRect(frame,f'{track_id}',(x1,y2),1,1)
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# cv2.circle(frame,(cx,cy),4,(255,0,0),-1)
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# cvzone.putTextRect(frame,f'{c}',(x1,y1),1,1)
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if cy<(cy1+offset) and cy>(cy1-offset) and track_id not in idDict.keys():
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pecanCount += 1
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idDict[track_id] = pecanCount
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cv2.putText(frame, f'Totals Pecans: {pecanCount}', (50, 50),cv2.FONT_HERSHEY_SIMPLEX,
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0.6, [255, 255, 255], 1)
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cv2.line(frame,(0,550),(1280,550),(255,0,255),2)
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cv2.line(frame,(0,cy1+offset),(1280,cy1+offset),(0,0,255),2)
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cv2.line(frame,(0,cy1-offset),(1280,cy1-offset),(0,0,255),2)
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cv2.imshow('Frame', frame)
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cv2.imshow("RGB", frame)
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if cv2.waitKey(1) & 0xFF == ord("q"):
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break
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# Release the video capture object and close the display window
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cap.release()
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cv2.destroyAllWindows()
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print(pecanCount) |