PyTorch-Spiking-YOLOv3:Spiking-YOLOv3的PyTorch实现。 根据YOLOv3的两个常见PyTorch实现(ultralyticsyolov3和eriklindernorenPyTorch-YOLOv3)提供了两个分支,目前支持Spiking-YOLOv3-Tiny

上传者: 42146086 | 上传时间: 2022-05-14 21:40:17 | 文件大小: 2.84MB | 文件类型: ZIP
PyTorch-Spiking-YOLOv3 基于YOLOv3的PyTorch实现( )的Spiking-YOLOv3的PyTorch实现,目前支持Spiking-YOLOv3-Tiny。 整个Spiking-YOLOv3即将得到支持。 介绍 为了实现尖峰效果,YOLOv3-Tiny中的某些运算符已进行等效转换。 有关详细信息,请参阅/ cfg中的yolov3-tiny-ours(*)。cfg。 某些运营商的转换 'maxpool(stride = 2)'->'convolutional(stride = 2)' 'maxpool(stride = 1)'->'none' 'upsample'->'transposed_convolutional' 'leaky_relu'->'relu' '批处理标准化'->'fuse_conv_and_bn' 用法 有关培训,评估和推断的基

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