@文心快码epoch gpu_mem box_loss obj_loss cls_loss instances size 文心快码 作为Comate,我很乐意为你解答这些问题。以下是对你提出的问题的详细解答: epoch在深度学习训练中的含义: 解释:在深度学习模型的训练过程中,epoch是指整个数据集被前向传播和反向传播算法遍历一次的完整过程。简单来说,epoch表示训练...
PyTorch训练模型中 box_loss、obj_loss、cls_loss为nan的原因及解决方法 1. 整体流程 在理解“为什么使用PyTorch训练模型的box_loss、obj_loss、cls_loss都为nan”之前,我们需要了解整个训练过程的流程。下面是PyTorch训练模型的一般流程: 准备数据:首先我们需要准备训练数据,包括输入数据和对应的标签。 定义模型:然后...
while the obj_loss is updated slightly to the CIOU loss which can be found in this review on object detection losses: https://arxiv.org/abs/1911.08287 right? Thanks, Karl Gardner Member glenn-jocher commented Oct 6, 2021 • edited @kgardner330 yes cls loss is just BCE as in original...
When I set the batch size to 16 and tried to generate results.png by calling plot_results() in plots.py, something wrong happened. As the image shows below, there are disorders on the Y-axis of val/box_loss, val/obj_loss and val/cls_loss. And matplotlib output the following warning...
self.class_instances[_cls] += _cnt self.total_instances += targets_weighted.size(0) weighting = 1 - (self.class_instances[targets_weighted] / self.total_instances) weighting = torch.clamp(weighting, min=1/self.num_classes) # If you do the math, the average weight of self.class_insta...