yolov8 如何将分割的mask掩模，显示读取出来 ，Masks类型 转换为 ndarray_yolo掩膜

将分割的mask掩模，显示读取

#识别图片
model = YOLO('yolov8n-seg');
results = model("your_image_path")
#关键在于将Masks 转换为 ndarray
mask_raw = results[0].masks[0].cpu().data.numpy().transpose(1,2,0) 
cv2.imshow("result",mask_raw);

#=======================分割线=========================================
#识别视频流
sourse = "./list.streams" #list.streams文件，用来存放流媒体地址，如rstp://localhost/test
results = model(sourse,stream=True)
for result in results:
	if result.mask is not None:
		mask_raw = result.masks[0].cpu().data.numpy().transpose(1,2,0)
		for mask in result.masks:
			mask_raw += mask.cpu().data.numpy().transpose(1,2,0)
		cv2.imshow("result",mask_raw)


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效果如下：