medical_balloon/Defect_Detection/Class/Yolo.py
leo890808 a1fb25c89f UP
2024-07-30 16:18:26 +08:00

33 lines
993 B
Python

# 串口通信
import serial
import time
import threading
import torch
import cv2
class yolo_class(threading.Thread):
def __init__(self,yolo_path):
threading.Thread.__init__(self)
self.yolo_path = yolo_path
self.model = torch.hub.load('ultralytics/yolov5', 'custom',
path=yolo_path, force_reload=True)
def run(self):
self.model = torch.hub.load('ultralytics/yolov5', 'custom',
path=self.yolo_path, force_reload=True)
self.flag = False
print('權重完成')
while True:
if self.flag == True:
print(f'yolo_run_2')
self.results = self.model(self.img, size=1280)
self.flag = False
time.sleep(0.05)
def YoloDetect(self,img):
self.results = self.model(img,size=1280)
# print(f'yolo_run')
# self.img = img
# self.flag = True
return self.results