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@noodlehaus
Created August 23, 2023 16:28
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Check if object of interest is within the bounding box.
import cv2
from flask import Flask, Response
from ultralytics import YOLO
app = Flask(__name__)
model2 = YOLO("models/yolov8n-face.pt")
cam = cv2.VideoCapture(0)
if not cam.isOpened():
raise RuntimeError("Failed to access camera.")
@app.route("/")
def index():
return """
<html>
<head>
<style>
body { margin: 0; padding: 0 }
img { width: 100%; }
</style>
<body><img src="/stream"></body>
</html>
"""
@app.route("/stream")
def stream():
return Response(frames(), mimetype="multipart/x-mixed-replace; boundary=frame")
def frames():
# our bounding box target
bx1, by1, bx2, by2 = 600, 400, 800, 600
while True:
okay, frame = cam.read()
if not okay:
break
frame = cv2.flip(frame, 1)
results = model2(frame, verbose=False)
for face in results[0].boxes:
x1, y1, x2, y2 = face.xyxy[0]
rect(frame, x1, y1, x2, y2)
cx, cy = center(x1, y1, x2, y2)
label = f"{cx}, {cy}"
text(frame, label, 30, 40)
circle(frame, cx, cy, 30, (0, 255, 255))
if cx > bx1 and cx < bx2 and cy > by1 and cy < by2:
rect(frame, bx1, by1, bx2, by2, (0, 255, 0))
else:
rect(frame, bx1, by1, bx2, by2, (64, 64, 64))
_, jpeg = cv2.imencode(".jpeg", frame)
yield (b"--frame\r\nContent-Type: image/jpeg\r\n\r\n" + jpeg.tobytes() + b"\r\n\r\n")
def text(image, text, x, y, color = (255, 255, 255)):
cv2.putText(image, text, (x, y), cv2.FONT_HERSHEY_SIMPLEX, 1, color, 3, cv2.LINE_AA)
def circle(image, x, y, r, color = (255, 255, 255)):
cv2.circle(image, (x, y), r, color, 2)
def rect(image, x1, y1, x2, y2, color = (255, 255, 255)):
cv2.rectangle(image, (int(x1), int(y1)), (int(x2), int(y2)), color, 2)
def center(x1, y1, x2, y2):
return int(x1 + (x2 - x1)/2), int(y1 + (y2 - y1)/2)
if __name__ == "__main__":
app.run(host="0.0.0.0", port=8888, debug=True)
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