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d.py
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d.py
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import math
import cv2
import cvzone
from ultralytics import YOLO
# cap = cv2.VideoCapture(1) # For Webcam
# cap.set(3, 1280)
# cap.set(4, 720)
cap = cv2.VideoCapture("ppe-2.mp4") # For Video
if not cap.isOpened():
print("Error: Could not open video.")
exit()
model = YOLO("ppe.pt")
classNames = ['Hardhat', 'Mask', 'NO-Hardhat', 'NO-Mask', 'NO-Safety Vest', 'Person', 'Safety Cone',
'Safety Vest', 'machinery', 'vehicle']
myColor = (0, 0, 255)
while True:
success, img = cap.read()
if not success:
print("Error: Could not read frame.")
break
results = model(img, stream=True)
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)
# cv2.rectangle(img,(x1,y1),(x2,y2),(255,0,255),3)
w, h = x2 - x1, y2 - y1
# cvzone.cornerRect(img, (x1, y1, w, h))
# Confidence
conf = math.ceil((box.conf[0] * 100)) / 100
# Class Name
cls = int(box.cls[0])
currentClass = classNames[cls]
print(currentClass)
if conf > 0.5:
if currentClass == 'NO-Hardhat' or currentClass == 'NO-Safety Vest' or currentClass == "NO-Mask":
myColor = (0, 0, 255)
elif currentClass == 'Hardhat' or currentClass == 'Safety Vest' or currentClass == "Mask":
myColor = (0, 255, 0)
else:
myColor = (255, 0, 0)
cvzone.putTextRect(img, f'{classNames[cls]} {conf}',
(max(0, x1), max(35, y1)), scale=1, thickness=1, colorB=myColor,
colorT=(255, 255, 255), colorR=myColor, offset=5)
cv2.rectangle(img, (x1, y1), (x2, y2), myColor, 3)
cv2.imshow("Image", img)
if cv2.waitKey(1) & 0xFF == ord('q'):
break
cap.release()
cv2.destroyAllWindows()