67 lines
2.4 KiB
Python
67 lines
2.4 KiB
Python
|
# source from https://dipankarmedh1.medium.com/real-time-object-detection-with-yolo-and-webcam-enhancing-your-computer-vision-skills-861b97c78993
|
||
|
|
|
||
|
|
from ultralytics import YOLO
|
||
|
|
import cv2
|
||
|
|
import math
|
||
|
|
|
||
|
|
# model
|
||
|
|
model = YOLO("yolov8x.pt")
|
||
|
|
|
||
|
|
# start webcam
|
||
|
|
cap = cv2.VideoCapture(0)
|
||
|
|
cap.set(3, 640)
|
||
|
|
cap.set(4, 480)
|
||
|
|
|
||
|
|
# object classes
|
||
|
|
classNames = ["person", "bicycle", "car", "motorbike", "aeroplane", "bus", "train", "truck", "boat",
|
||
|
|
"traffic light", "fire hydrant", "stop sign", "parking meter", "bench", "bird", "cat",
|
||
|
|
"dog", "horse", "sheep", "cow", "elephant", "bear", "zebra", "giraffe", "backpack", "umbrella",
|
||
|
|
"handbag", "tie", "suitcase", "frisbee", "skis", "snowboard", "sports ball", "kite", "baseball bat",
|
||
|
|
"baseball glove", "skateboard", "surfboard", "tennis racket", "bottle", "wine glass", "cup",
|
||
|
|
"fork", "knife", "spoon", "bowl", "banana", "apple", "sandwich", "orange", "broccoli",
|
||
|
|
"carrot", "hot dog", "pizza", "donut", "cake", "chair", "sofa", "pottedplant", "bed",
|
||
|
|
"diningtable", "toilet", "tvmonitor", "laptop", "mouse", "remote", "keyboard", "cell phone",
|
||
|
|
"microwave", "oven", "toaster", "sink", "refrigerator", "book", "clock", "vase", "scissors",
|
||
|
|
"teddy bear", "hair drier", "toothbrush"
|
||
|
|
]
|
||
|
|
|
||
|
|
|
||
|
|
while True:
|
||
|
|
success, img = cap.read()
|
||
|
|
results = model.track(img, persist=True, stream=True)
|
||
|
|
|
||
|
|
# coordinates
|
||
|
|
for r in results:
|
||
|
|
boxes = r.boxes
|
||
|
|
|
||
|
|
for box in boxes:
|
||
|
|
# bounding box
|
||
|
|
x1, y1, x2, y2 = box.xyxy[0]
|
||
|
|
x1, y1, x2, y2 = int(x1), int(y1), int(x2), int(y2) # convert to int values
|
||
|
|
|
||
|
|
# put box in cam
|
||
|
|
cv2.rectangle(img, (x1, y1), (x2, y2), (255, 0, 255), 3)
|
||
|
|
|
||
|
|
# confidence
|
||
|
|
confidence = math.ceil((box.conf[0]*100))/100
|
||
|
|
print("Confidence --->",confidence)
|
||
|
|
|
||
|
|
# class name
|
||
|
|
cls = int(box.cls[0])
|
||
|
|
print("Class name -->", classNames[cls])
|
||
|
|
|
||
|
|
# object details
|
||
|
|
org = [x1, y1]
|
||
|
|
font = cv2.FONT_HERSHEY_SIMPLEX
|
||
|
|
fontScale = 1
|
||
|
|
color = (255, 0, 0)
|
||
|
|
thickness = 2
|
||
|
|
|
||
|
|
cv2.putText(img, classNames[cls], org, font, fontScale, color, thickness)
|
||
|
|
|
||
|
|
cv2.imshow('Webcam', img)
|
||
|
|
if cv2.waitKey(1) == ord('q'):
|
||
|
|
break
|
||
|
|
|
||
|
|
cap.release()
|
||
|
|
cv2.destroyAllWindows()
|