detectron2 solver.ims_per_batch和型号之间的差异
在detectron2中，似乎有两个与配置文件中批处理大小相关的设置。
我已经看到他们
SOLVER.IMS_PER_BATCH and MODEL.ROI_HEADS.BATCH_SIZE_PER_IMAGE
既被用作网上批处理大小，也不确定它们有何不同。有什么区别，如果他们一起工作，如何？
In detectron2 there seems to be two settings related to batch size in the config file.
They are
SOLVER.IMS_PER_BATCH and MODEL.ROI_HEADS.BATCH_SIZE_PER_IMAGE
I have seen both being used as batch size online and not sure how they differ. What is the difference and if they work together, how?
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solver.ims_per_batch 是深度学习中通常被称为批处理大小的，它是指在一次迭代中使用的培训示例数量。
model.roi_heads.batch_size_per_image 是
SOLVER.IMS_PER_BATCH is what's commonly known as batch size in deep learning and refers to the number of training examples utilized in one iteration.
MODEL.ROI_HEADS.BATCH_SIZE_PER_IMAGE is a parameter that is used to sample a subset of proposals coming out of RPN to calculate cls and reg loss during training.