def smart_optimizer(model, name="Adam", lr=0.001, momentum=0.9, decay=1e-5): """Initializes a smart optimizer for YOLOv3 with custom parameter groups for different weight decays and biases.""" g = [], [], [] # optimizer parameter groups bn = tuple(v for k, v in nn.__dict_...
9. 编译并运行例子程序验证安装是否成功,有些程序可能在NCS设备上运行失败,比如smart_classroom_demo,NCS设备上不支持批处理模式 yolo v3-tiny模型优化 关于yolo v3-tiny模型的原理和训练可以参考SIGAI的其他文章,这里不做介绍。下图表示了基于OpenVINO的深度学习部署流程,下面我们一步步来实现基于OpenVINO+NCS设备的yolo ...
increment_path, non_max_suppression, print_args, scale_boxes, strip_optimizer, xyxy2xywh)fromutils.plotsimportAnnotator, colors, save_one_boxfromutils.torch_utilsimportselect_device, smart_inference_mode@smart_inference_mode()defrun(weights=ROOT /'yolov5s.pt',# model path or triton URLsource=R...
from utils.general import (LOGGER, Profile, check_file, check_img_size, check_requirements, non_max_suppression, scale_boxes, strip_optimizer, xyxy2xywh) from utils.torch_utils import select_device, smart_inference_mode @smart_inference_mode() ...
() optimizer')parser.add_argument('--sync-bn',action='store_true',help='use SyncBatchNorm, only available in DDP mode')parser.add_argument('--local_rank',type=int,default=-1,help='DDP parameter, do not modify')parser.add_argument('--workers',type=int,default=8,help='maximum number...
strip_optimizer, xyxy2xywh, ) from utils.torch_utils import select_device, smart_inference_mode 1. 2. 3. 4. 5. 6. 7. 8. 9. 10. 11. 12. 13. 14. 15. 16. 17. 18. 19. 20. 21. 22. 这段代码是在Python脚本中导入了一系列自定义模块和函数,让我为您解释一下这些导入的内容: ...
dist.barrier(device_ids=[0])defsmart_inference_mode():"""Applies torch.inference_mode() decorator if torch>=1.9.0 else torch.no_grad() decorator."""defdecorate(fn):"""Applies appropriate torch decorator for inference mode based on torch version."""ifTORCH_1_9andtorch.is_inference_mode_...
strip_optimizer, xyxy2xywh) from utils.plots import Annotator, colors, save_one_box from utils.torch_utils import select_device, smart_inference_mode @smart_inference_mode() def run( weights=ROOT / 'yolov5s.pt', # model.pt path(s) source=ROOT / 'data/images', # file/dir/URL/glob,...
smart_optimizer: def smart_optimizer(model, name='Adam', lr=0.001, momentum=0.9, decay=1e-5): # YOLOv5 3-param group optimizer: 0) weights with decay, 1) weights no decay, 2) biases no decay g = [], [], [] # optimizer parameter groups bn = tuple(v for k, v in nn.__dic...
ultralytics 8.0.114 automatic optimizer selection by @glenn-jocher in #3037Simplify remove_zero_areas() function by @Laughing-q in #3060Fix code scanning alert - Incomplete URL substring sanitization by @glenn-jocher in #3054Update val max_dets=args.max_det=300 by @glenn-jocher in #3051...