cfg.MODEL.ROI_HEADS.NUM_CLASSES
时间: 2024-05-22 17:12:18 浏览: 11
This parameter specifies the number of classes in the dataset used for training the Region of Interest (ROI) heads in a Faster R-CNN model. The ROI heads are responsible for predicting the class labels and bounding boxes for each region of interest detected in an image. The value of this parameter should be set to the number of distinct object classes in the dataset being used for training.
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cfg.MODEL.ROI_HEADS.SCORE_THRESH_TEST
This is a configuration parameter in the detectron2 library that sets the minimum score threshold for predictions during inference in the ROI (region of interest) heads of the model. Any predicted object with a score below this threshold will be discarded as a false positive. The value of this parameter is usually set to a value between 0 and 1, where a higher value indicates a more confident prediction.
cfg.MODEL.ROI_HEADS.BATCH_SIZE_PER_IMAGE
这个参数是 Faster R-CNN 模型中 RoIHeads 的一个配置参数,它表示每张图片中每个 RoI(Region of Interest)采样的样本数。在训练过程中,对于每个 RoI,会从它所对应的特征图中随机采样出 BATCH_SIZE_PER_IMAGE 个样本进行训练。默认值为512。