指定训练过程中每个批次的大小。 38. overlap_mask overlap_mask: 训练时是否要求蒙版重叠(仅用于分割训练)。如果设置为 True,要求训练过程中的蒙版(mask)重叠。 39. mask_ratio mask_ratio: 蒙版下采样比例(仅用于分割训练)。用于控制蒙版下采样的比例。 40. dropout dropout: 是否使用丢弃正则化(dropout regulariz...
self.overlap = model.args.overlap_mask@staticmethoddefsingle_mask_loss(gt_mask: torch.Tensor, pred: torch.Tensor, proto: torch.Tensor, xyxy: torch.Tensor, area: torch.Tensor) -> torch.Tensor:""" Compute the instance segmentation loss for a single image. Args: gt_mask (torch.Tensor): Gro...
mxyxy = xywh2xyxy(xywhn[i] * torch.tensor([mask_w, mask_h, mask_w, mask_h], device=self.device)) for bi in b.unique(): #匹配圖片索引 j = b == bi # matching index if self.overlap: #計算匹配的目標mask。該函數根據條件將相等的地方設置為1,不相等的地方設置為0。 # tidxs[i][...
name=None,exist_ok=False,pretrained=model\yolov8n.pt,optimizer=auto,verbose=True,seed=0,deterministic=True,single_cls=False,rect=False,cos_lr=False,close_mosaic=10,resume=False,amp=True,fraction=1.0,profile=False,freeze=None,overlap_
nms_max_overlap=cfg_deep.DEEPSORT.NMS_MAX_OVERLAP, max_iou_distance=cfg_deep.DEEPSORT.MAX_IOU_DISTANCE, max_age=cfg_deep.DEEPSORT.MAX_AGE, n_init=cfg_deep.DEEPSORT.N_INIT, nn_budget=cfg_deep.DEEPSORT.NN_BUDGET, use_cuda=True)###defxyxy_to_xywh(*xyxy):""" Calculates the relative...
(x, y, width, height)normalize=True,# 归一化图像像素值return_mask=self.use_segments,# 根据use_segments参数返回掩膜return_keypoint=self.use_keypoints,# 根据use_keypoints参数返回关键点batch_idx=True,# 返回带有批次索引的数据mask_ratio=hyp.mask_ratio,# 掩膜比率mask_overlap=hyp.overlap_mask,# ...
mask_ratio (int): Downsample ratio for masks. mask_overlap (bool): If True, allows mask overlap. batch_idx (bool): If True, keeps batch indexes. bgr (float): Probability of returning BGR images instead of RGB. Attributes: bbox_format (str): Format for bounding boxes. normalize (bool)...
[True, False], True runs AMP check # Segmentation overlap_mask: True # masks should overlap during training (segment train only) mask_ratio: 4 # mask downsample ratio (segment train only) # Classification dropout: 0.0 # use dropout regularization (classify train only) # Val/Test settings -...
[ovthresh]: Overlap threshold (default = 0.5) [use_07_metric]: Whether to use VOC07's 11 point AP computation (default False) """ # assumes detections are in detpath.format(classname) # assumes annotations are in annopath.format(imagename) ...
在ultralytics/nn/modules.py文件中定义了yolov8网络中的卷积神经单元。 autopad 功能: 返回pad的大小,使得padding后输出张量的大小不变。参数:k: 卷积核(kernel)的大小。类型可能是一个int也可能是一个序列。p: 填充(padding)的大小。默认为None。d: 扩张率(dilation rate)的大小, 默认为1。普通卷积的扩张率...