BatchNormLayerImpl(const LayerParams& params)
{
setParamsFrom(params);
- CV_Assert(blobs.size() >= 3);
+ CV_Assert(blobs.size() >= 2);
hasWeights = params.get<bool>("has_weight", false);
hasBias = params.get<bool>("has_bias", false);
blobs[0].type() == CV_32F && blobs[1].type() == CV_32F);
float varMeanScale = 1.f;
- if (!hasWeights && !hasBias) {
- CV_Assert(blobs[2].type() == CV_32F);
+ if (!hasWeights && !hasBias && blobs.size() > 2) {
+ CV_Assert(blobs.size() == 3, blobs[2].type() == CV_32F);
varMeanScale = blobs[2].at<float>(0);
if (varMeanScale != 0)
varMeanScale = 1/varMeanScale;