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你好! 想请教下你关于第三个mobile+yolo模型的问题,一般来说网上提供的mobilenet训练好的模型,其图片输入都有做归一化,例如类似:normalize = transforms.Normalize(mean=[0.485, 0.456, 0.406],std=[0.229, 0.224, 0.225])。想问下你训练所用的mobilenet模型是否也是其他人预训练好的,如果是你是否也有做类似的归一化。
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用的官方提供的imagenet预训练权重 @lightfate
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用的官方提供的imagenet预训练权重 @lightfate 那对于输入的图片是否有进行Normalize处理呢,类似:normalize = transforms.Normalize(mean=[0.485, 0.456, 0.406],std=[0.229, 0.224, 0.225])这样的,还是只是将输入的img除以255.0将其归一化到[0-1]之间
@lightfate 归一化影响不大吧
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你好!
想请教下你关于第三个mobile+yolo模型的问题,一般来说网上提供的mobilenet训练好的模型,其图片输入都有做归一化,例如类似:normalize = transforms.Normalize(mean=[0.485, 0.456, 0.406],std=[0.229, 0.224, 0.225])。想问下你训练所用的mobilenet模型是否也是其他人预训练好的,如果是你是否也有做类似的归一化。
The text was updated successfully, but these errors were encountered: