Which layer is used for classification of classes?

[santhoshnumberone]

I want to use transfer learning for training custom data I currently have.

Custom data is being detected as cell phone with low confidence.

I would like to freeze the feature extractor layer and load the weight and bias of classification layer with only 1 class cell phone instead of 90 classes and train it

Having a close look at the flow of the number of classes being feed into train.py line 124

    model = EfficientDetBackbone(num_classes=len(params.obj_list), compound_coef=opt.compound_coef,
                                 ratios=eval(params.anchors_ratios), scales=eval(params.anchors_scales))

to backbone.py line 51

        self.classifier = Classifier(in_channels=self.fpn_num_filters[self.compound_coef], num_anchors=num_anchors,
                                     num_classes=num_classes,
                                     num_layers=self.box_class_repeats[self.compound_coef],
                                     pyramid_levels=self.pyramid_levels[self.compound_coef])

to model.py line 395

        self.header = SeparableConvBlock(in_channels, num_anchors * num_classes, norm=False, activation=False)

num_anchors = len(self.aspect_ratios) * self.num_scales inside backbone.py line 37 which is equal to 9

header value should 9x90= 810

which is exactly the size of

Name:  classifier.header.pointwise_conv.conv.weight 
Train:  False
Size:  torch.Size([810, 160, 1, 1]) 

Name:  classifier.header.pointwise_conv.conv.bias 
Train:  False
Size:  torch.Size([810]) 

Are these the values of interested to me?

Will 9x76 = 684 to 693 values correspond to the weight and bias of cell phone classification?

According to the architecture of EfficientDet

After loading the model

model = EfficientDetBackbone(compound_coef=compound_coef, num_classes=len(obj_list),
                             ratios=anchor_ratios, scales=anchor_scales)
model.load_state_dict(torch.load(f'/content/drive/MyDrive/EDNet/Yet-Another-EfficientDet-Pytorch/weights/efficientdet-d3.pth'))
model.requires_grad_(False)
model.eval()

I checked which parameters could be trained with this code

for name, param in model.named_parameters():
    # If requires gradient parameters
    if param.requires_grad==True:
        # Name and value of the parameter
        print("Name: ",name,"\nTrain: ",param.requires_grad,"\n")

Looks like all layers are non trainable

Then I check which ones actually have requires_grad

for name, param in model.named_parameters():
    # If requires gradient parameters
    if param.requires_grad==True or param.requires_grad==False:
        # Name and value of the parameter
        print("Name: ",name,"\nTrain: ",param.requires_grad)
        print("Size: ",param.data.size(),"\n")

I got his output

Name:  bifpn.0.p6_w1 
Train:  False
Size:  torch.Size([2]) 

Name:  bifpn.0.p5_w1 
Train:  False
Size:  torch.Size([2]) 

Name:  bifpn.0.p4_w1 
Train:  False
Size:  torch.Size([2]) 

Name:  bifpn.0.p3_w1 
Train:  False
Size:  torch.Size([2]) 

Name:  bifpn.0.p4_w2 
Train:  False
Size:  torch.Size([3]) 

Name:  bifpn.0.p5_w2 
Train:  False
Size:  torch.Size([3]) 

Name:  bifpn.0.p6_w2 
Train:  False
Size:  torch.Size([3]) 

Name:  bifpn.0.p7_w2 
Train:  False
Size:  torch.Size([2]) 

Name:  bifpn.0.conv6_up.depthwise_conv.conv.weight 
Train:  False
Size:  torch.Size([160, 1, 3, 3]) 

Name:  bifpn.0.conv6_up.pointwise_conv.conv.weight 
Train:  False
Size:  torch.Size([160, 160, 1, 1]) 

Name:  bifpn.0.conv6_up.pointwise_conv.conv.bias 
Train:  False
Size:  torch.Size([160]) 

Name:  bifpn.0.conv6_up.bn.weight 
Train:  False
Size:  torch.Size([160]) 

Name:  bifpn.0.conv6_up.bn.bias 
Train:  False
Size:  torch.Size([160]) 

Name:  bifpn.0.conv5_up.depthwise_conv.conv.weight 
Train:  False
Size:  torch.Size([160, 1, 3, 3]) 

Name:  bifpn.0.conv5_up.pointwise_conv.conv.weight 
Train:  False
Size:  torch.Size([160, 160, 1, 1]) 

Name:  bifpn.0.conv5_up.pointwise_conv.conv.bias 
Train:  False
Size:  torch.Size([160]) 

Name:  bifpn.0.conv5_up.bn.weight 
Train:  False
Size:  torch.Size([160]) 

Name:  bifpn.0.conv5_up.bn.bias 
Train:  False
Size:  torch.Size([160]) 

Name:  bifpn.0.conv4_up.depthwise_conv.conv.weight 
Train:  False
Size:  torch.Size([160, 1, 3, 3]) 

Name:  bifpn.0.conv4_up.pointwise_conv.conv.weight 
Train:  False
Size:  torch.Size([160, 160, 1, 1]) 

Name:  bifpn.0.conv4_up.pointwise_conv.conv.bias 
Train:  False
Size:  torch.Size([160]) 

Name:  bifpn.0.conv4_up.bn.weight 
Train:  False
Size:  torch.Size([160]) 

Name:  bifpn.0.conv4_up.bn.bias 
Train:  False
Size:  torch.Size([160]) 

Name:  bifpn.0.conv3_up.depthwise_conv.conv.weight 
Train:  False
Size:  torch.Size([160, 1, 3, 3]) 

Name:  bifpn.0.conv3_up.pointwise_conv.conv.weight 
Train:  False
Size:  torch.Size([160, 160, 1, 1]) 

Name:  bifpn.0.conv3_up.pointwise_conv.conv.bias 
Train:  False
Size:  torch.Size([160]) 

Name:  bifpn.0.conv3_up.bn.weight 
Train:  False
Size:  torch.Size([160]) 

Name:  bifpn.0.conv3_up.bn.bias 
Train:  False
Size:  torch.Size([160]) 

Name:  bifpn.0.conv4_down.depthwise_conv.conv.weight 
Train:  False
Size:  torch.Size([160, 1, 3, 3]) 

Name:  bifpn.0.conv4_down.pointwise_conv.conv.weight 
Train:  False
Size:  torch.Size([160, 160, 1, 1]) 

Name:  bifpn.0.conv4_down.pointwise_conv.conv.bias 
Train:  False
Size:  torch.Size([160]) 

Name:  bifpn.0.conv4_down.bn.weight 
Train:  False
Size:  torch.Size([160]) 

Name:  bifpn.0.conv4_down.bn.bias 
Train:  False
Size:  torch.Size([160]) 

Name:  bifpn.0.conv5_down.depthwise_conv.conv.weight 
Train:  False
Size:  torch.Size([160, 1, 3, 3]) 

Name:  bifpn.0.conv5_down.pointwise_conv.conv.weight 
Train:  False
Size:  torch.Size([160, 160, 1, 1]) 

Name:  bifpn.0.conv5_down.pointwise_conv.conv.bias 
Train:  False
Size:  torch.Size([160]) 

Name:  bifpn.0.conv5_down.bn.weight 
Train:  False
Size:  torch.Size([160]) 

Name:  bifpn.0.conv5_down.bn.bias 
Train:  False
Size:  torch.Size([160]) 

Name:  bifpn.0.conv6_down.depthwise_conv.conv.weight 
Train:  False
Size:  torch.Size([160, 1, 3, 3]) 

Name:  bifpn.0.conv6_down.pointwise_conv.conv.weight 
Train:  False
Size:  torch.Size([160, 160, 1, 1]) 

Name:  bifpn.0.conv6_down.pointwise_conv.conv.bias 
Train:  False
Size:  torch.Size([160]) 

Name:  bifpn.0.conv6_down.bn.weight 
Train:  False
Size:  torch.Size([160]) 

Name:  bifpn.0.conv6_down.bn.bias 
Train:  False
Size:  torch.Size([160]) 

Name:  bifpn.0.conv7_down.depthwise_conv.conv.weight 
Train:  False
Size:  torch.Size([160, 1, 3, 3]) 

Name:  bifpn.0.conv7_down.pointwise_conv.conv.weight 
Train:  False
Size:  torch.Size([160, 160, 1, 1]) 

Name:  bifpn.0.conv7_down.pointwise_conv.conv.bias 
Train:  False
Size:  torch.Size([160]) 

Name:  bifpn.0.conv7_down.bn.weight 
Train:  False
Size:  torch.Size([160]) 

Name:  bifpn.0.conv7_down.bn.bias 
Train:  False
Size:  torch.Size([160]) 

Name:  bifpn.0.p5_down_channel.0.conv.weight 
Train:  False
Size:  torch.Size([160, 384, 1, 1]) 

Name:  bifpn.0.p5_down_channel.0.conv.bias 
Train:  False
Size:  torch.Size([160]) 

Name:  bifpn.0.p5_down_channel.1.weight 
Train:  False
Size:  torch.Size([160]) 

Name:  bifpn.0.p5_down_channel.1.bias 
Train:  False
Size:  torch.Size([160]) 

Name:  bifpn.0.p4_down_channel.0.conv.weight 
Train:  False
Size:  torch.Size([160, 136, 1, 1]) 

Name:  bifpn.0.p4_down_channel.0.conv.bias 
Train:  False
Size:  torch.Size([160]) 

Name:  bifpn.0.p4_down_channel.1.weight 
Train:  False
Size:  torch.Size([160]) 

Name:  bifpn.0.p4_down_channel.1.bias 
Train:  False
Size:  torch.Size([160]) 

Name:  bifpn.0.p3_down_channel.0.conv.weight 
Train:  False
Size:  torch.Size([160, 48, 1, 1]) 

Name:  bifpn.0.p3_down_channel.0.conv.bias 
Train:  False
Size:  torch.Size([160]) 

Name:  bifpn.0.p3_down_channel.1.weight 
Train:  False
Size:  torch.Size([160]) 

Name:  bifpn.0.p3_down_channel.1.bias 
Train:  False
Size:  torch.Size([160]) 

Name:  bifpn.0.p5_to_p6.0.conv.weight 
Train:  False
Size:  torch.Size([160, 384, 1, 1]) 

Name:  bifpn.0.p5_to_p6.0.conv.bias 
Train:  False
Size:  torch.Size([160]) 

Name:  bifpn.0.p5_to_p6.1.weight 
Train:  False
Size:  torch.Size([160]) 

Name:  bifpn.0.p5_to_p6.1.bias 
Train:  False
Size:  torch.Size([160]) 

Name:  bifpn.0.p4_down_channel_2.0.conv.weight 
Train:  False
Size:  torch.Size([160, 136, 1, 1]) 

Name:  bifpn.0.p4_down_channel_2.0.conv.bias 
Train:  False
Size:  torch.Size([160]) 

Name:  bifpn.0.p4_down_channel_2.1.weight 
Train:  False
Size:  torch.Size([160]) 

Name:  bifpn.0.p4_down_channel_2.1.bias 
Train:  False
Size:  torch.Size([160]) 

Name:  bifpn.0.p5_down_channel_2.0.conv.weight 
Train:  False
Size:  torch.Size([160, 384, 1, 1]) 

Name:  bifpn.0.p5_down_channel_2.0.conv.bias 
Train:  False
Size:  torch.Size([160]) 

Name:  bifpn.0.p5_down_channel_2.1.weight 
Train:  False
Size:  torch.Size([160]) 

Name:  bifpn.0.p5_down_channel_2.1.bias 
Train:  False
Size:  torch.Size([160]) 

Name:  bifpn.1.p6_w1 
Train:  False
Size:  torch.Size([2]) 

Name:  bifpn.1.p5_w1 
Train:  False
Size:  torch.Size([2]) 

Name:  bifpn.1.p4_w1 
Train:  False
Size:  torch.Size([2]) 

Name:  bifpn.1.p3_w1 
Train:  False
Size:  torch.Size([2]) 

Name:  bifpn.1.p4_w2 
Train:  False
Size:  torch.Size([3]) 

Name:  bifpn.1.p5_w2 
Train:  False
Size:  torch.Size([3]) 

Name:  bifpn.1.p6_w2 
Train:  False
Size:  torch.Size([3]) 

Name:  bifpn.1.p7_w2 
Train:  False
Size:  torch.Size([2]) 

Name:  bifpn.1.conv6_up.depthwise_conv.conv.weight 
Train:  False
Size:  torch.Size([160, 1, 3, 3]) 

Name:  bifpn.1.conv6_up.pointwise_conv.conv.weight 
Train:  False
Size:  torch.Size([160, 160, 1, 1]) 

Name:  bifpn.1.conv6_up.pointwise_conv.conv.bias 
Train:  False
Size:  torch.Size([160]) 

Name:  bifpn.1.conv6_up.bn.weight 
Train:  False
Size:  torch.Size([160]) 

Name:  bifpn.1.conv6_up.bn.bias 
Train:  False
Size:  torch.Size([160]) 

Name:  bifpn.1.conv5_up.depthwise_conv.conv.weight 
Train:  False
Size:  torch.Size([160, 1, 3, 3]) 

Name:  bifpn.1.conv5_up.pointwise_conv.conv.weight 
Train:  False
Size:  torch.Size([160, 160, 1, 1]) 

Name:  bifpn.1.conv5_up.pointwise_conv.conv.bias 
Train:  False
Size:  torch.Size([160]) 

Name:  bifpn.1.conv5_up.bn.weight 
Train:  False
Size:  torch.Size([160]) 

Name:  bifpn.1.conv5_up.bn.bias 
Train:  False
Size:  torch.Size([160]) 

Name:  bifpn.1.conv4_up.depthwise_conv.conv.weight 
Train:  False
Size:  torch.Size([160, 1, 3, 3]) 

Name:  bifpn.1.conv4_up.pointwise_conv.conv.weight 
Train:  False
Size:  torch.Size([160, 160, 1, 1]) 

Name:  bifpn.1.conv4_up.pointwise_conv.conv.bias 
Train:  False
Size:  torch.Size([160]) 

Name:  bifpn.1.conv4_up.bn.weight 
Train:  False
Size:  torch.Size([160]) 

Name:  bifpn.1.conv4_up.bn.bias 
Train:  False
Size:  torch.Size([160]) 

Name:  bifpn.1.conv3_up.depthwise_conv.conv.weight 
Train:  False
Size:  torch.Size([160, 1, 3, 3]) 

Name:  bifpn.1.conv3_up.pointwise_conv.conv.weight 
Train:  False
Size:  torch.Size([160, 160, 1, 1]) 

Name:  bifpn.1.conv3_up.pointwise_conv.conv.bias 
Train:  False
Size:  torch.Size([160]) 

Name:  bifpn.1.conv3_up.bn.weight 
Train:  False
Size:  torch.Size([160]) 

Name:  bifpn.1.conv3_up.bn.bias 
Train:  False
Size:  torch.Size([160]) 

Name:  bifpn.1.conv4_down.depthwise_conv.conv.weight 
Train:  False
Size:  torch.Size([160, 1, 3, 3]) 

Name:  bifpn.1.conv4_down.pointwise_conv.conv.weight 
Train:  False
Size:  torch.Size([160, 160, 1, 1]) 

Name:  bifpn.1.conv4_down.pointwise_conv.conv.bias 
Train:  False
Size:  torch.Size([160]) 

Name:  bifpn.1.conv4_down.bn.weight 
Train:  False
Size:  torch.Size([160]) 

Name:  bifpn.1.conv4_down.bn.bias 
Train:  False
Size:  torch.Size([160]) 

Name:  bifpn.1.conv5_down.depthwise_conv.conv.weight 
Train:  False
Size:  torch.Size([160, 1, 3, 3]) 

Name:  bifpn.1.conv5_down.pointwise_conv.conv.weight 
Train:  False
Size:  torch.Size([160, 160, 1, 1]) 

Name:  bifpn.1.conv5_down.pointwise_conv.conv.bias 
Train:  False
Size:  torch.Size([160]) 

Name:  bifpn.1.conv5_down.bn.weight 
Train:  False
Size:  torch.Size([160]) 

Name:  bifpn.1.conv5_down.bn.bias 
Train:  False
Size:  torch.Size([160]) 

Name:  bifpn.1.conv6_down.depthwise_conv.conv.weight 
Train:  False
Size:  torch.Size([160, 1, 3, 3]) 

Name:  bifpn.1.conv6_down.pointwise_conv.conv.weight 
Train:  False
Size:  torch.Size([160, 160, 1, 1]) 

Name:  bifpn.1.conv6_down.pointwise_conv.conv.bias 
Train:  False
Size:  torch.Size([160]) 

Name:  bifpn.1.conv6_down.bn.weight 
Train:  False
Size:  torch.Size([160]) 

Name:  bifpn.1.conv6_down.bn.bias 
Train:  False
Size:  torch.Size([160]) 

Name:  bifpn.1.conv7_down.depthwise_conv.conv.weight 
Train:  False
Size:  torch.Size([160, 1, 3, 3]) 

Name:  bifpn.1.conv7_down.pointwise_conv.conv.weight 
Train:  False
Size:  torch.Size([160, 160, 1, 1]) 

Name:  bifpn.1.conv7_down.pointwise_conv.conv.bias 
Train:  False
Size:  torch.Size([160]) 

Name:  bifpn.1.conv7_down.bn.weight 
Train:  False
Size:  torch.Size([160]) 

Name:  bifpn.1.conv7_down.bn.bias 
Train:  False
Size:  torch.Size([160]) 

Name:  bifpn.2.p6_w1 
Train:  False
Size:  torch.Size([2]) 

Name:  bifpn.2.p5_w1 
Train:  False
Size:  torch.Size([2]) 

Name:  bifpn.2.p4_w1 
Train:  False
Size:  torch.Size([2]) 

Name:  bifpn.2.p3_w1 
Train:  False
Size:  torch.Size([2]) 

Name:  bifpn.2.p4_w2 
Train:  False
Size:  torch.Size([3]) 

Name:  bifpn.2.p5_w2 
Train:  False
Size:  torch.Size([3]) 

Name:  bifpn.2.p6_w2 
Train:  False
Size:  torch.Size([3]) 

Name:  bifpn.2.p7_w2 
Train:  False
Size:  torch.Size([2]) 

Name:  bifpn.2.conv6_up.depthwise_conv.conv.weight 
Train:  False
Size:  torch.Size([160, 1, 3, 3]) 

Name:  bifpn.2.conv6_up.pointwise_conv.conv.weight 
Train:  False
Size:  torch.Size([160, 160, 1, 1]) 

Name:  bifpn.2.conv6_up.pointwise_conv.conv.bias 
Train:  False
Size:  torch.Size([160]) 

Name:  bifpn.2.conv6_up.bn.weight 
Train:  False
Size:  torch.Size([160]) 

Name:  bifpn.2.conv6_up.bn.bias 
Train:  False
Size:  torch.Size([160]) 

Name:  bifpn.2.conv5_up.depthwise_conv.conv.weight 
Train:  False
Size:  torch.Size([160, 1, 3, 3]) 

Name:  bifpn.2.conv5_up.pointwise_conv.conv.weight 
Train:  False
Size:  torch.Size([160, 160, 1, 1]) 

Name:  bifpn.2.conv5_up.pointwise_conv.conv.bias 
Train:  False
Size:  torch.Size([160]) 

Name:  bifpn.2.conv5_up.bn.weight 
Train:  False
Size:  torch.Size([160]) 

Name:  bifpn.2.conv5_up.bn.bias 
Train:  False
Size:  torch.Size([160]) 

Name:  bifpn.2.conv4_up.depthwise_conv.conv.weight 
Train:  False
Size:  torch.Size([160, 1, 3, 3]) 

Name:  bifpn.2.conv4_up.pointwise_conv.conv.weight 
Train:  False
Size:  torch.Size([160, 160, 1, 1]) 

Name:  bifpn.2.conv4_up.pointwise_conv.conv.bias 
Train:  False
Size:  torch.Size([160]) 

Name:  bifpn.2.conv4_up.bn.weight 
Train:  False
Size:  torch.Size([160]) 

Name:  bifpn.2.conv4_up.bn.bias 
Train:  False
Size:  torch.Size([160]) 

Name:  bifpn.2.conv3_up.depthwise_conv.conv.weight 
Train:  False
Size:  torch.Size([160, 1, 3, 3]) 

Name:  bifpn.2.conv3_up.pointwise_conv.conv.weight 
Train:  False
Size:  torch.Size([160, 160, 1, 1]) 

Name:  bifpn.2.conv3_up.pointwise_conv.conv.bias 
Train:  False
Size:  torch.Size([160]) 

Name:  bifpn.2.conv3_up.bn.weight 
Train:  False
Size:  torch.Size([160]) 

Name:  bifpn.2.conv3_up.bn.bias 
Train:  False
Size:  torch.Size([160]) 

Name:  bifpn.2.conv4_down.depthwise_conv.conv.weight 
Train:  False
Size:  torch.Size([160, 1, 3, 3]) 

Name:  bifpn.2.conv4_down.pointwise_conv.conv.weight 
Train:  False
Size:  torch.Size([160, 160, 1, 1]) 

Name:  bifpn.2.conv4_down.pointwise_conv.conv.bias 
Train:  False
Size:  torch.Size([160]) 

Name:  bifpn.2.conv4_down.bn.weight 
Train:  False
Size:  torch.Size([160]) 

Name:  bifpn.2.conv4_down.bn.bias 
Train:  False
Size:  torch.Size([160]) 

Name:  bifpn.2.conv5_down.depthwise_conv.conv.weight 
Train:  False
Size:  torch.Size([160, 1, 3, 3]) 

Name:  bifpn.2.conv5_down.pointwise_conv.conv.weight 
Train:  False
Size:  torch.Size([160, 160, 1, 1]) 

Name:  bifpn.2.conv5_down.pointwise_conv.conv.bias 
Train:  False
Size:  torch.Size([160]) 

Name:  bifpn.2.conv5_down.bn.weight 
Train:  False
Size:  torch.Size([160]) 

Name:  bifpn.2.conv5_down.bn.bias 
Train:  False
Size:  torch.Size([160]) 

Name:  bifpn.2.conv6_down.depthwise_conv.conv.weight 
Train:  False
Size:  torch.Size([160, 1, 3, 3]) 

Name:  bifpn.2.conv6_down.pointwise_conv.conv.weight 
Train:  False
Size:  torch.Size([160, 160, 1, 1]) 

Name:  bifpn.2.conv6_down.pointwise_conv.conv.bias 
Train:  False
Size:  torch.Size([160]) 

Name:  bifpn.2.conv6_down.bn.weight 
Train:  False
Size:  torch.Size([160]) 

Name:  bifpn.2.conv6_down.bn.bias 
Train:  False
Size:  torch.Size([160]) 

Name:  bifpn.2.conv7_down.depthwise_conv.conv.weight 
Train:  False
Size:  torch.Size([160, 1, 3, 3]) 

Name:  bifpn.2.conv7_down.pointwise_conv.conv.weight 
Train:  False
Size:  torch.Size([160, 160, 1, 1]) 

Name:  bifpn.2.conv7_down.pointwise_conv.conv.bias 
Train:  False
Size:  torch.Size([160]) 

Name:  bifpn.2.conv7_down.bn.weight 
Train:  False
Size:  torch.Size([160]) 

Name:  bifpn.2.conv7_down.bn.bias 
Train:  False
Size:  torch.Size([160]) 

Name:  bifpn.3.p6_w1 
Train:  False
Size:  torch.Size([2]) 

Name:  bifpn.3.p5_w1 
Train:  False
Size:  torch.Size([2]) 

Name:  bifpn.3.p4_w1 
Train:  False
Size:  torch.Size([2]) 

Name:  bifpn.3.p3_w1 
Train:  False
Size:  torch.Size([2]) 

Name:  bifpn.3.p4_w2 
Train:  False
Size:  torch.Size([3]) 

Name:  bifpn.3.p5_w2 
Train:  False
Size:  torch.Size([3]) 

Name:  bifpn.3.p6_w2 
Train:  False
Size:  torch.Size([3]) 

Name:  bifpn.3.p7_w2 
Train:  False
Size:  torch.Size([2]) 

Name:  bifpn.3.conv6_up.depthwise_conv.conv.weight 
Train:  False
Size:  torch.Size([160, 1, 3, 3]) 

Name:  bifpn.3.conv6_up.pointwise_conv.conv.weight 
Train:  False
Size:  torch.Size([160, 160, 1, 1]) 

Name:  bifpn.3.conv6_up.pointwise_conv.conv.bias 
Train:  False
Size:  torch.Size([160]) 

Name:  bifpn.3.conv6_up.bn.weight 
Train:  False
Size:  torch.Size([160]) 

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[santhoshnumberone]

@zylo117 Could you please guide me?

[zylo117]

you should check on the implentmentation of classifier