retinanet-keras
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20 hours ago •
bubbliiiing
bubbliiiing
这是一个retinanet-keras的源码，可以用于训练自己的模型。
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# 计算每一个先验框应该有的权重 alpha_factor_for_back = keras.backend.ones_like(labels_for_back) * alpha alpha_factor_for_back = backend.where(keras.backend.equal(labels_for_back, 1), alpha_factor_for_back, 1 - alpha_factor_for_back) focal_weight_for_back = backend.where(keras.backend.equal(labels_for_back, 1), 1 - classification_for_back, classification_for_back) focal_weight_for_back = alpha_factor_for_back * focal_weight_for_back ** gamma...
