vcs-python-repository/Server/PipeServer/handle_connection.py
2024-04-26 22:11:53 -07:00

90 lines
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3.2 KiB
Python

import cv2
from websocket import create_connection
import win32file
import numpy as np
from ultralytics import YOLO
# 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"
]
def handle_connection(pipe):
print("Pipe connected!")
data = win32file.ReadFile(pipe, 640*480*3)[1]
if not data:
return
nparr = np.frombuffer(data, np.uint8)
nparr = nparr.reshape((480, 640, 3))
# frame = cv2.imdecode(nparr, cv2.IMREAD_COLOR)
frame = cv2.cvtColor(nparr, cv2.COLOR_BGR2RGB)
raise ValueError("There is no value running this application further")
# Load YOLO model
model = YOLO('yolov8s.pt') # Load an official Detect model
# Open webcam
cap = cv2.VideoCapture(0)
cap.set(3, 640)
cap.set(4, 480)
while cap.isOpened():
ret, frame = cap.read()
frame = cv2.resize(frame, (640, 480))
if not ret:
break
# Perform object detection
results = model.track(frame, persist=True)
for r in results:
lines = ""
boxes = r.boxes
for box in boxes:
if box.cls[0].item() == 0 and not box.id is None:
# bounding box
id = box.id.int().cpu().tolist()
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(frame, (x1, y1), (x2, y2), (255, 0, 255), 3)
# class name
cls = int(box.cls[0])
# object details
org = [x1, y1]
org2 = [x1, y1+50]
font = cv2.FONT_HERSHEY_SIMPLEX
fontScale = 1
color = (255, 0, 0)
color_w = (255, 255, 255)
thickness = 2
cv2.putText(frame, classNames[cls], org, font, fontScale, color, thickness)
cv2.putText(frame, str(id), org2, font, fontScale, color_w, thickness)
lines += f"{id} {x1}:{y1} {x2}:{y2}\n"
cv2.imshow('Webcam', frame)
if cv2.waitKey(1) == ord('q'):
break
cap.release()
cv2.destroyAllWindows()