No such layer: block1_conv1

[varrella]

when I change the value of "network" in default.cfg file, I got the following question, how to solve it? It seems like the code works well when the value of "network" is "vgg16" or "vgg19", but when I modify the value of "network" to "densnet121" or "resnet152", the following problem will occur, how to solve it?

Traceback (most recent call last): File "train_crfnet.py", line 431, in main() File "train_crfnet.py", line 326, in main model, training_model, prediction_model = create_models( File "train_crfnet.py", line 145, in create_models model = model_with_weights(backbone_retinanet(num_classes, num_anchors=num_anchors, modifier=modifier, inputs=inputs, distance=distance, cfg=cfg), weights=weights, skip_mismatch=True, config=copy.deepcopy(cfg), num_classes=num_classes) File "train_crfnet.py", line 91, in model_with_weights model_weights = model.get_layer(layer_name).get_weights() File "/home/ZT/anaconda3/envs/crfnet-tf2/lib/python3.8/site-packages/keras/engine/network.py", line 358, in get_layer raise ValueError('No such layer: ' + name) ValueError: No such layer: block1_conv1

fragment of default.cfg: [CRF-Net] channels = [0,1,2,5,18] image_height = 360 image_width = 640

dropout_radar = 0.0 dropout_image = 0.2

network = densenet121 network_width = 1.0 pooling = max

anchor_params = small

[hershita07]

hey, did you get the solution to this?

[tejasri19]

@varrella @TUMFTM @fnobis I ran into the same error as mentioned above while changing the "network" to "densnet121" or "resnet152" . Help needed to resolve!