Missing batch normalization

[ohuet74]

Hello I don't understand your prototxt of yolo. You have removed all the batch normalization layer and the scale after convolution For me a convolution is layer { name: "conv2d_1" type: "Convolution" bottom: "data" top: "conv2d_1" convolution_param { num_output: 32 kernel_size: 3 stride: 1 pad : 1 } } layer { name: "batch_normalization_1" type: "BatchNorm" bottom: "conv2d_1" top: "conv2d_1" batch_norm_param { eps : 0.000001 } } layer { name: "scale_1" type: "Scale" bottom: "conv2d_1" top: "conv2d_1" scale_param { bias_term : true } } layer { name: "relu_1" type: "ReLU" bottom: "conv2d_1" top: "conv2d_1" relu_param { negative_slope: 0.1 } } the batch_normalization take training parameter if y remove it for me it's doesn't work.

[convolutional] batch_normalize=1 filters=64 size=7 stride=2 pad=1 activation=leaky