yolov5实时检测屏幕python代码
下面是一份使用 YOLOv5 进行实时屏幕检测的 Python 代码示例：
``` import cv2 import numpy as np import torch from models import * from utils.datasets import * from utils.utils import *
class ObjectDetection: def init(self, model_def, model_weights, class_path, conf_thres=0.5, nms_thres=0.5, img_size=416): self.device = torch.device("cv2.CAP_PROP_FRAME_WIDTH" if torch.cuda.is_available() else "cpu")
# Set up model
self.model =Darknet(model_def, img_size=img_size).to(self.device)
if model_weights.endswith(".pt"):
self.model.load< 下面是一份使用 YOLOv5 进行实时屏幕检测的 Python 代码示例： ``` import cv2 import numpy as np import torch from models import * from utils.datasets import * from utils.utils import * class ObjectDetection: def init(self, model_def, model_weights, class_path, conf_thres=0.5, nms_thres=0.5, img_size=416): self.device = torch.device("cv2.CAP_PROP_FRAME_WIDTH" if torch.cuda.is_available() else "cpu") # Set up model self.model =Darknet(model_def, img_size=img_size).to(self.device) if model_weights.endswith(".pt"): self.model.load<
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