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diff --git a/dev/cli_help.html b/dev/cli_help.html
index 48df9973f..578e130fd 100644
--- a/dev/cli_help.html
+++ b/dev/cli_help.html
@@ -600,8 +600,8 @@ <h1>Command Line<a class="headerlink" href="#command-line" title="Permalink to t
 
 decoder configuration:
   --decoder DECODER [DECODER ...]
-                        Decoders to be considered: [&#39;posesimilarity&#39;,
-                        &#39;cifcaf&#39;, &#39;cifdet&#39;, &#39;cifcafdense&#39;, &#39;trackingpose&#39;].
+                        Decoders to be considered: [&#39;cifcafdense&#39;,
+                        &#39;posesimilarity&#39;, &#39;trackingpose&#39;, &#39;cifcaf&#39;, &#39;cifdet&#39;].
                         (default: None)
   --seed-threshold SEED_THRESHOLD
                         minimum threshold for seeds (default: 0.2)
@@ -629,10 +629,17 @@ <h1>Command Line<a class="headerlink" href="#command-line" title="Permalink to t
   --tr-minimum-threshold TR_MINIMUM_THRESHOLD
                         minimum-pose threshold for tracking. (default: 0.1)
 
+CifCafDense decoder:
+  --dense-connections [DENSE_CONNECTIONS]
+
 PoseSimilarity:
   --posesimilarity-distance {crafted,euclidean,euclidean4,oks}
   --posesimilarity-oks-inflate POSESIMILARITY_OKS_INFLATE
 
+trackingpose decoder:
+  --trackingpose-track-recovery
+  --trackingpose-single-seed
+
 CifCaf decoder:
   --force-complete-pose
   --force-complete-caf-th FORCE_COMPLETE_CAF_TH
@@ -658,18 +665,19 @@ <h1>Command Line<a class="headerlink" href="#command-line" title="Permalink to t
   --ablation-caf-no-rescore
   --ablation-independent-kp
 
-CifCafDense decoder:
-  --dense-connections [DENSE_CONNECTIONS]
-
-trackingpose decoder:
-  --trackingpose-track-recovery
-  --trackingpose-single-seed
-
 logger:
   -q, --quiet           only show warning messages or above (default: False)
   --debug               print debug messages (default: False)
   --log-stats           enable stats logging (default: False)
 
+XCiT:
+  --xcit-out-channels XCIT_OUT_CHANNELS
+                        number of output channels for optional projection
+                        layer (None for no projection layer) (default: None)
+  --xcit-out-maxpool    adds max-pooling to backbone output feature map
+                        (default: False)
+  --xcit-no-pretrain    use randomly initialized models (default: True)
+
 SwinTransformer:
   --swin-drop-path-rate SWIN_DROP_PATH_RATE
                         drop path (stochastic depth) rate (default: 0.2)
@@ -748,14 +756,6 @@ <h1>Command Line<a class="headerlink" href="#command-line" title="Permalink to t
   --convnextv2-no-pretrain
                         use randomly initialized models (default: True)
 
-XCiT:
-  --xcit-out-channels XCIT_OUT_CHANNELS
-                        number of output channels for optional projection
-                        layer (None for no projection layer) (default: None)
-  --xcit-out-maxpool    adds max-pooling to backbone output feature map
-                        (default: False)
-  --xcit-no-pretrain    use randomly initialized models (default: True)
-
 CompositeField4:
   --cf4-dropout CF4_DROPOUT
                         [experimental] zeroing probability of feature in head
@@ -772,11 +772,13 @@ <h1>Command Line<a class="headerlink" href="#command-line" title="Permalink to t
                         &#39;shufflenetv2k30-apollo-66&#39;, &#39;mobilenetv2&#39;,
                         &#39;mobilenetv3small&#39;, &#39;mobilenetv3large&#39;, &#39;resnet50&#39;,
                         &#39;shufflenetv2k16&#39;, &#39;shufflenetv2k16-withdense&#39;,
-                        &#39;shufflenetv2k30&#39;, &#39;swin_s&#39;, &#39;swin_b&#39;,
-                        &#39;swin_t_input_upsample&#39;, &#39;mobilenetv3small-cocodet&#39;,
-                        &#39;resnet18-cocodet&#39;, &#39;resnet50-crowdpose&#39;,
-                        &#39;shufflenetv2k16-nuscenes&#39;, &#39;tshufflenetv2k30&#39;,
-                        &#39;shufflenetv2k16-wholebody&#39;,
+                        &#39;shufflenetv2k30&#39;, &#39;shufflenetv2k30*&#39;, &#39;swin_s&#39;,
+                        &#39;swin_b&#39;, &#39;swin_t_input_upsample&#39;,
+                        &#39;swin_l_input_upsample&#39;, &#39;hrformerbasecat&#39;,
+                        &#39;clipconvnextbase&#39;, &#39;convnextv2base&#39;,
+                        &#39;mobilenetv3small-cocodet&#39;, &#39;resnet18-cocodet&#39;,
+                        &#39;resnet50-crowdpose&#39;, &#39;shufflenetv2k16-nuscenes&#39;,
+                        &#39;tshufflenetv2k30&#39;, &#39;shufflenetv2k16-wholebody&#39;,
                         &#39;shufflenetv2k30-wholebody&#39;] (default: None)
   --basenet BASENET     base network, one of [&#39;mobilenetv2&#39;,
                         &#39;mobilenetv3large&#39;, &#39;mobilenetv3small&#39;, &#39;resnet18&#39;,
@@ -929,22 +931,6 @@ <h1>Command Line<a class="headerlink" href="#command-line" title="Permalink to t
   --separate-debug-ax
   --disable-cuda        disable CUDA (default: False)
 
-CLIPConvNeXt:
-  --clipconvnext-no-pretrain
-                        use randomly initialized models (default: True)
-
-ConvNeXtV2:
-  --convnextv2-no-pretrain
-                        use randomly initialized models (default: True)
-
-XCiT:
-  --xcit-out-channels XCIT_OUT_CHANNELS
-                        number of output channels for optional projection
-                        layer (None for no projection layer) (default: None)
-  --xcit-out-maxpool    adds max-pooling to backbone output feature map
-                        (default: False)
-  --xcit-no-pretrain    use randomly initialized models (default: True)
-
 SwinTransformer:
   --swin-drop-path-rate SWIN_DROP_PATH_RATE
                         drop path (stochastic depth) rate (default: 0.2)
@@ -1015,6 +1001,22 @@ <h1>Command Line<a class="headerlink" href="#command-line" title="Permalink to t
   --hrformer-no-pretrain
                         use randomly initialized models (default: True)
 
+CLIPConvNeXt:
+  --clipconvnext-no-pretrain
+                        use randomly initialized models (default: True)
+
+ConvNeXtV2:
+  --convnextv2-no-pretrain
+                        use randomly initialized models (default: True)
+
+XCiT:
+  --xcit-out-channels XCIT_OUT_CHANNELS
+                        number of output channels for optional projection
+                        layer (None for no projection layer) (default: None)
+  --xcit-out-maxpool    adds max-pooling to backbone output feature map
+                        (default: False)
+  --xcit-no-pretrain    use randomly initialized models (default: True)
+
 CompositeField4:
   --cf4-dropout CF4_DROPOUT
                         [experimental] zeroing probability of feature in head
@@ -1031,11 +1033,13 @@ <h1>Command Line<a class="headerlink" href="#command-line" title="Permalink to t
                         &#39;shufflenetv2k30-apollo-66&#39;, &#39;mobilenetv2&#39;,
                         &#39;mobilenetv3small&#39;, &#39;mobilenetv3large&#39;, &#39;resnet50&#39;,
                         &#39;shufflenetv2k16&#39;, &#39;shufflenetv2k16-withdense&#39;,
-                        &#39;shufflenetv2k30&#39;, &#39;swin_s&#39;, &#39;swin_b&#39;,
-                        &#39;swin_t_input_upsample&#39;, &#39;mobilenetv3small-cocodet&#39;,
-                        &#39;resnet18-cocodet&#39;, &#39;resnet50-crowdpose&#39;,
-                        &#39;shufflenetv2k16-nuscenes&#39;, &#39;tshufflenetv2k30&#39;,
-                        &#39;shufflenetv2k16-wholebody&#39;,
+                        &#39;shufflenetv2k30&#39;, &#39;shufflenetv2k30*&#39;, &#39;swin_s&#39;,
+                        &#39;swin_b&#39;, &#39;swin_t_input_upsample&#39;,
+                        &#39;swin_l_input_upsample&#39;, &#39;hrformerbasecat&#39;,
+                        &#39;clipconvnextbase&#39;, &#39;convnextv2base&#39;,
+                        &#39;mobilenetv3small-cocodet&#39;, &#39;resnet18-cocodet&#39;,
+                        &#39;resnet50-crowdpose&#39;, &#39;shufflenetv2k16-nuscenes&#39;,
+                        &#39;tshufflenetv2k30&#39;, &#39;shufflenetv2k16-wholebody&#39;,
                         &#39;shufflenetv2k30-wholebody&#39;] (default: None)
   --basenet BASENET     base network, one of [&#39;mobilenetv2&#39;,
                         &#39;mobilenetv3large&#39;, &#39;mobilenetv3small&#39;, &#39;resnet18&#39;,
@@ -1071,9 +1075,9 @@ <h1>Command Line<a class="headerlink" href="#command-line" title="Permalink to t
 
 decoder configuration:
   --decoder DECODER [DECODER ...]
-                        Decoders to be considered: [&#39;cifdet&#39;, &#39;trackingpose&#39;,
-                        &#39;posesimilarity&#39;, &#39;cifcafdense&#39;, &#39;cifcaf&#39;]. (default:
-                        None)
+                        Decoders to be considered: [&#39;cifcafdense&#39;,
+                        &#39;posesimilarity&#39;, &#39;trackingpose&#39;, &#39;cifcaf&#39;, &#39;cifdet&#39;].
+                        (default: None)
   --seed-threshold SEED_THRESHOLD
                         minimum threshold for seeds (default: 0.2)
   --instance-threshold INSTANCE_THRESHOLD
@@ -1100,16 +1104,16 @@ <h1>Command Line<a class="headerlink" href="#command-line" title="Permalink to t
   --tr-minimum-threshold TR_MINIMUM_THRESHOLD
                         minimum-pose threshold for tracking. (default: 0.1)
 
-trackingpose decoder:
-  --trackingpose-track-recovery
-  --trackingpose-single-seed
+CifCafDense decoder:
+  --dense-connections [DENSE_CONNECTIONS]
 
 PoseSimilarity:
   --posesimilarity-distance {crafted,euclidean,euclidean4,oks}
   --posesimilarity-oks-inflate POSESIMILARITY_OKS_INFLATE
 
-CifCafDense decoder:
-  --dense-connections [DENSE_CONNECTIONS]
+trackingpose decoder:
+  --trackingpose-track-recovery
+  --trackingpose-single-seed
 
 CifCaf decoder:
   --force-complete-pose
@@ -1284,10 +1288,47 @@ <h1>Command Line<a class="headerlink" href="#command-line" title="Permalink to t
                         resolution) and 4 (lowest resolution) (default: 3)
   --swin-no-pretrain    use randomly initialized models (default: True)
 
+HRFormer:
+  --hrformer-scale-level HRFORMER_SCALE_LEVEL
+                        level of the HRFormer pyramid (default: 0)
+  --hrformer-no-pretrain
+                        use randomly initialized models (default: True)
+
+CLIPConvNeXt:
+  --clipconvnext-no-pretrain
+                        use randomly initialized models (default: True)
+
+ConvNeXtV2:
+  --convnextv2-no-pretrain
+                        use randomly initialized models (default: True)
+
+XCiT:
+  --xcit-out-channels XCIT_OUT_CHANNELS
+                        number of output channels for optional projection
+                        layer (None for no projection layer) (default: None)
+  --xcit-out-maxpool    adds max-pooling to backbone output feature map
+                        (default: False)
+  --xcit-no-pretrain    use randomly initialized models (default: True)
+
 ShuffleNetv2:
   --shufflenetv2-no-pretrain
                         use randomly initialized models (default: True)
 
+ResNet:
+  --resnet-no-pretrain  use randomly initialized models (default: True)
+  --resnet-pool0-stride RESNET_POOL0_STRIDE
+                        stride of zero removes the pooling op (default: 0)
+  --resnet-input-conv-stride RESNET_INPUT_CONV_STRIDE
+                        stride of the input convolution (default: 2)
+  --resnet-input-conv2-stride RESNET_INPUT_CONV2_STRIDE
+                        stride of the optional 2nd input convolution (default:
+                        0)
+  --resnet-block5-dilation RESNET_BLOCK5_DILATION
+                        use dilated convs in block5 (default: 1)
+  --resnet-remove-last-block
+                        create a network without the last block (default:
+                        False)
+
 SqueezeNet:
   --squeezenet-no-pretrain
                         use randomly initialized models (default: True)
@@ -1316,43 +1357,6 @@ <h1>Command Line<a class="headerlink" href="#command-line" title="Permalink to t
   --mobilenetv3-no-pretrain
                         use randomly initialized models (default: True)
 
-ResNet:
-  --resnet-no-pretrain  use randomly initialized models (default: True)
-  --resnet-pool0-stride RESNET_POOL0_STRIDE
-                        stride of zero removes the pooling op (default: 0)
-  --resnet-input-conv-stride RESNET_INPUT_CONV_STRIDE
-                        stride of the input convolution (default: 2)
-  --resnet-input-conv2-stride RESNET_INPUT_CONV2_STRIDE
-                        stride of the optional 2nd input convolution (default:
-                        0)
-  --resnet-block5-dilation RESNET_BLOCK5_DILATION
-                        use dilated convs in block5 (default: 1)
-  --resnet-remove-last-block
-                        create a network without the last block (default:
-                        False)
-
-HRFormer:
-  --hrformer-scale-level HRFORMER_SCALE_LEVEL
-                        level of the HRFormer pyramid (default: 0)
-  --hrformer-no-pretrain
-                        use randomly initialized models (default: True)
-
-CLIPConvNeXt:
-  --clipconvnext-no-pretrain
-                        use randomly initialized models (default: True)
-
-ConvNeXtV2:
-  --convnextv2-no-pretrain
-                        use randomly initialized models (default: True)
-
-XCiT:
-  --xcit-out-channels XCIT_OUT_CHANNELS
-                        number of output channels for optional projection
-                        layer (None for no projection layer) (default: None)
-  --xcit-out-maxpool    adds max-pooling to backbone output feature map
-                        (default: False)
-  --xcit-no-pretrain    use randomly initialized models (default: True)
-
 CompositeField4:
   --cf4-dropout CF4_DROPOUT
                         [experimental] zeroing probability of feature in head
@@ -1369,11 +1373,13 @@ <h1>Command Line<a class="headerlink" href="#command-line" title="Permalink to t
                         &#39;shufflenetv2k30-apollo-66&#39;, &#39;mobilenetv2&#39;,
                         &#39;mobilenetv3small&#39;, &#39;mobilenetv3large&#39;, &#39;resnet50&#39;,
                         &#39;shufflenetv2k16&#39;, &#39;shufflenetv2k16-withdense&#39;,
-                        &#39;shufflenetv2k30&#39;, &#39;swin_s&#39;, &#39;swin_b&#39;,
-                        &#39;swin_t_input_upsample&#39;, &#39;mobilenetv3small-cocodet&#39;,
-                        &#39;resnet18-cocodet&#39;, &#39;resnet50-crowdpose&#39;,
-                        &#39;shufflenetv2k16-nuscenes&#39;, &#39;tshufflenetv2k30&#39;,
-                        &#39;shufflenetv2k16-wholebody&#39;,
+                        &#39;shufflenetv2k30&#39;, &#39;shufflenetv2k30*&#39;, &#39;swin_s&#39;,
+                        &#39;swin_b&#39;, &#39;swin_t_input_upsample&#39;,
+                        &#39;swin_l_input_upsample&#39;, &#39;hrformerbasecat&#39;,
+                        &#39;clipconvnextbase&#39;, &#39;convnextv2base&#39;,
+                        &#39;mobilenetv3small-cocodet&#39;, &#39;resnet18-cocodet&#39;,
+                        &#39;resnet50-crowdpose&#39;, &#39;shufflenetv2k16-nuscenes&#39;,
+                        &#39;tshufflenetv2k30&#39;, &#39;shufflenetv2k16-wholebody&#39;,
                         &#39;shufflenetv2k30-wholebody&#39;] (default: None)
   --basenet BASENET     base network, one of [&#39;mobilenetv2&#39;,
                         &#39;mobilenetv3large&#39;, &#39;mobilenetv3small&#39;, &#39;resnet18&#39;,
@@ -1432,10 +1438,6 @@ <h1>Command Line<a class="headerlink" href="#command-line" title="Permalink to t
   --soft-clamp SOFT_CLAMP
                         soft clamp (default: 5.0)
 
-Laplace Loss:
-  --laplace-soft-clamp LAPLACE_SOFT_CLAMP
-                        soft clamp for Laplace (default: 5.0)
-
 Bce Loss:
   --background-weight BACKGROUND_WEIGHT
                         BCE weight where ground truth is background (default:
@@ -1461,6 +1463,10 @@ <h1>Command Line<a class="headerlink" href="#command-line" title="Permalink to t
 Bce Loss:
   --r-smooth R_SMOOTH   r_{smooth} for SmoothL1 regressions (default: 0.0)
 
+Laplace Loss:
+  --laplace-soft-clamp LAPLACE_SOFT_CLAMP
+                        soft clamp for Laplace (default: 5.0)
+
 trainer:
   --epochs EPOCHS       number of epochs to train (default: None)
   --train-batches TRAIN_BATCHES
@@ -2202,7 +2208,7 @@ <h1>Command Line<a class="headerlink" href="#command-line" title="Permalink to t
 decoder configuration:
   --decoder DECODER [DECODER ...]
                         Decoders to be considered: [&#39;cifcaf&#39;, &#39;cifdet&#39;,
-                        &#39;cifcafdense&#39;, &#39;posesimilarity&#39;, &#39;trackingpose&#39;].
+                        &#39;trackingpose&#39;, &#39;cifcafdense&#39;, &#39;posesimilarity&#39;].
                         (default: None)
   --seed-threshold SEED_THRESHOLD
                         minimum threshold for seeds (default: 0.2)
@@ -2255,6 +2261,10 @@ <h1>Command Line<a class="headerlink" href="#command-line" title="Permalink to t
   --ablation-caf-no-rescore
   --ablation-independent-kp
 
+trackingpose decoder:
+  --trackingpose-track-recovery
+  --trackingpose-single-seed
+
 CifCafDense decoder:
   --dense-connections [DENSE_CONNECTIONS]
 
@@ -2262,15 +2272,40 @@ <h1>Command Line<a class="headerlink" href="#command-line" title="Permalink to t
   --posesimilarity-distance {crafted,euclidean,euclidean4,oks}
   --posesimilarity-oks-inflate POSESIMILARITY_OKS_INFLATE
 
-trackingpose decoder:
-  --trackingpose-track-recovery
-  --trackingpose-single-seed
-
 logger:
   -q, --quiet           only show warning messages or above (default: False)
   --debug               print debug messages (default: False)
   --log-stats           enable stats logging (default: False)
 
+HRFormer:
+  --hrformer-scale-level HRFORMER_SCALE_LEVEL
+                        level of the HRFormer pyramid (default: 0)
+  --hrformer-no-pretrain
+                        use randomly initialized models (default: True)
+
+CLIPConvNeXt:
+  --clipconvnext-no-pretrain
+                        use randomly initialized models (default: True)
+
+ResNet:
+  --resnet-no-pretrain  use randomly initialized models (default: True)
+  --resnet-pool0-stride RESNET_POOL0_STRIDE
+                        stride of zero removes the pooling op (default: 0)
+  --resnet-input-conv-stride RESNET_INPUT_CONV_STRIDE
+                        stride of the input convolution (default: 2)
+  --resnet-input-conv2-stride RESNET_INPUT_CONV2_STRIDE
+                        stride of the optional 2nd input convolution (default:
+                        0)
+  --resnet-block5-dilation RESNET_BLOCK5_DILATION
+                        use dilated convs in block5 (default: 1)
+  --resnet-remove-last-block
+                        create a network without the last block (default:
+                        False)
+
+ConvNeXtV2:
+  --convnextv2-no-pretrain
+                        use randomly initialized models (default: True)
+
 XCiT:
   --xcit-out-channels XCIT_OUT_CHANNELS
                         number of output channels for optional projection
@@ -2328,35 +2363,6 @@ <h1>Command Line<a class="headerlink" href="#command-line" title="Permalink to t
   --mobilenetv3-no-pretrain
                         use randomly initialized models (default: True)
 
-ResNet:
-  --resnet-no-pretrain  use randomly initialized models (default: True)
-  --resnet-pool0-stride RESNET_POOL0_STRIDE
-                        stride of zero removes the pooling op (default: 0)
-  --resnet-input-conv-stride RESNET_INPUT_CONV_STRIDE
-                        stride of the input convolution (default: 2)
-  --resnet-input-conv2-stride RESNET_INPUT_CONV2_STRIDE
-                        stride of the optional 2nd input convolution (default:
-                        0)
-  --resnet-block5-dilation RESNET_BLOCK5_DILATION
-                        use dilated convs in block5 (default: 1)
-  --resnet-remove-last-block
-                        create a network without the last block (default:
-                        False)
-
-HRFormer:
-  --hrformer-scale-level HRFORMER_SCALE_LEVEL
-                        level of the HRFormer pyramid (default: 0)
-  --hrformer-no-pretrain
-                        use randomly initialized models (default: True)
-
-CLIPConvNeXt:
-  --clipconvnext-no-pretrain
-                        use randomly initialized models (default: True)
-
-ConvNeXtV2:
-  --convnextv2-no-pretrain
-                        use randomly initialized models (default: True)
-
 CompositeField4:
   --cf4-dropout CF4_DROPOUT
                         [experimental] zeroing probability of feature in head
@@ -2373,11 +2379,13 @@ <h1>Command Line<a class="headerlink" href="#command-line" title="Permalink to t
                         &#39;shufflenetv2k30-apollo-66&#39;, &#39;mobilenetv2&#39;,
                         &#39;mobilenetv3small&#39;, &#39;mobilenetv3large&#39;, &#39;resnet50&#39;,
                         &#39;shufflenetv2k16&#39;, &#39;shufflenetv2k16-withdense&#39;,
-                        &#39;shufflenetv2k30&#39;, &#39;swin_s&#39;, &#39;swin_b&#39;,
-                        &#39;swin_t_input_upsample&#39;, &#39;mobilenetv3small-cocodet&#39;,
-                        &#39;resnet18-cocodet&#39;, &#39;resnet50-crowdpose&#39;,
-                        &#39;shufflenetv2k16-nuscenes&#39;, &#39;tshufflenetv2k30&#39;,
-                        &#39;shufflenetv2k16-wholebody&#39;,
+                        &#39;shufflenetv2k30&#39;, &#39;shufflenetv2k30*&#39;, &#39;swin_s&#39;,
+                        &#39;swin_b&#39;, &#39;swin_t_input_upsample&#39;,
+                        &#39;swin_l_input_upsample&#39;, &#39;hrformerbasecat&#39;,
+                        &#39;clipconvnextbase&#39;, &#39;convnextv2base&#39;,
+                        &#39;mobilenetv3small-cocodet&#39;, &#39;resnet18-cocodet&#39;,
+                        &#39;resnet50-crowdpose&#39;, &#39;shufflenetv2k16-nuscenes&#39;,
+                        &#39;tshufflenetv2k30&#39;, &#39;shufflenetv2k16-wholebody&#39;,
                         &#39;shufflenetv2k30-wholebody&#39;] (default: None)
   --basenet BASENET     base network, one of [&#39;mobilenetv2&#39;,
                         &#39;mobilenetv3large&#39;, &#39;mobilenetv3small&#39;, &#39;resnet18&#39;,
@@ -2494,17 +2502,6 @@ <h1>Command Line<a class="headerlink" href="#command-line" title="Permalink to t
 </div>
 <div class="cell_output docutils container">
 <div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>usage: python3 -m openpifpaf.export_onnx [-h] [--version]
-                                         [--mobilenetv3-no-pretrain]
-                                         [--resnet-no-pretrain]
-                                         [--resnet-pool0-stride RESNET_POOL0_STRIDE]
-                                         [--resnet-input-conv-stride RESNET_INPUT_CONV_STRIDE]
-                                         [--resnet-input-conv2-stride RESNET_INPUT_CONV2_STRIDE]
-                                         [--resnet-block5-dilation RESNET_BLOCK5_DILATION]
-                                         [--resnet-remove-last-block]
-                                         [--hrformer-scale-level HRFORMER_SCALE_LEVEL]
-                                         [--hrformer-no-pretrain]
-                                         [--clipconvnext-no-pretrain]
-                                         [--convnextv2-no-pretrain]
                                          [--xcit-out-channels XCIT_OUT_CHANNELS]
                                          [--xcit-out-maxpool]
                                          [--xcit-no-pretrain]
@@ -2524,6 +2521,17 @@ <h1>Command Line<a class="headerlink" href="#command-line" title="Permalink to t
                                          [--shufflenetv2k-instance-norm | --shufflenetv2k-group-norm]
                                          [--shufflenetv2k-leaky-relu]
                                          [--mobilenetv2-no-pretrain]
+                                         [--mobilenetv3-no-pretrain]
+                                         [--resnet-no-pretrain]
+                                         [--resnet-pool0-stride RESNET_POOL0_STRIDE]
+                                         [--resnet-input-conv-stride RESNET_INPUT_CONV_STRIDE]
+                                         [--resnet-input-conv2-stride RESNET_INPUT_CONV2_STRIDE]
+                                         [--resnet-block5-dilation RESNET_BLOCK5_DILATION]
+                                         [--resnet-remove-last-block]
+                                         [--hrformer-scale-level HRFORMER_SCALE_LEVEL]
+                                         [--hrformer-no-pretrain]
+                                         [--clipconvnext-no-pretrain]
+                                         [--convnextv2-no-pretrain]
                                          [--cf4-dropout CF4_DROPOUT]
                                          [--cf4-no-inplace-ops]
                                          [--checkpoint CHECKPOINT]
@@ -2552,39 +2560,6 @@ <h1>Command Line<a class="headerlink" href="#command-line" title="Permalink to t
   --input-width INPUT_WIDTH
   --input-height INPUT_HEIGHT
 
-MobileNetV3:
-  --mobilenetv3-no-pretrain
-                        use randomly initialized models (default: True)
-
-ResNet:
-  --resnet-no-pretrain  use randomly initialized models (default: True)
-  --resnet-pool0-stride RESNET_POOL0_STRIDE
-                        stride of zero removes the pooling op (default: 0)
-  --resnet-input-conv-stride RESNET_INPUT_CONV_STRIDE
-                        stride of the input convolution (default: 2)
-  --resnet-input-conv2-stride RESNET_INPUT_CONV2_STRIDE
-                        stride of the optional 2nd input convolution (default:
-                        0)
-  --resnet-block5-dilation RESNET_BLOCK5_DILATION
-                        use dilated convs in block5 (default: 1)
-  --resnet-remove-last-block
-                        create a network without the last block (default:
-                        False)
-
-HRFormer:
-  --hrformer-scale-level HRFORMER_SCALE_LEVEL
-                        level of the HRFormer pyramid (default: 0)
-  --hrformer-no-pretrain
-                        use randomly initialized models (default: True)
-
-CLIPConvNeXt:
-  --clipconvnext-no-pretrain
-                        use randomly initialized models (default: True)
-
-ConvNeXtV2:
-  --convnextv2-no-pretrain
-                        use randomly initialized models (default: True)
-
 XCiT:
   --xcit-out-channels XCIT_OUT_CHANNELS
                         number of output channels for optional projection
@@ -2638,6 +2613,39 @@ <h1>Command Line<a class="headerlink" href="#command-line" title="Permalink to t
   --mobilenetv2-no-pretrain
                         use randomly initialized models (default: True)
 
+MobileNetV3:
+  --mobilenetv3-no-pretrain
+                        use randomly initialized models (default: True)
+
+ResNet:
+  --resnet-no-pretrain  use randomly initialized models (default: True)
+  --resnet-pool0-stride RESNET_POOL0_STRIDE
+                        stride of zero removes the pooling op (default: 0)
+  --resnet-input-conv-stride RESNET_INPUT_CONV_STRIDE
+                        stride of the input convolution (default: 2)
+  --resnet-input-conv2-stride RESNET_INPUT_CONV2_STRIDE
+                        stride of the optional 2nd input convolution (default:
+                        0)
+  --resnet-block5-dilation RESNET_BLOCK5_DILATION
+                        use dilated convs in block5 (default: 1)
+  --resnet-remove-last-block
+                        create a network without the last block (default:
+                        False)
+
+HRFormer:
+  --hrformer-scale-level HRFORMER_SCALE_LEVEL
+                        level of the HRFormer pyramid (default: 0)
+  --hrformer-no-pretrain
+                        use randomly initialized models (default: True)
+
+CLIPConvNeXt:
+  --clipconvnext-no-pretrain
+                        use randomly initialized models (default: True)
+
+ConvNeXtV2:
+  --convnextv2-no-pretrain
+                        use randomly initialized models (default: True)
+
 CompositeField4:
   --cf4-dropout CF4_DROPOUT
                         [experimental] zeroing probability of feature in head
@@ -2654,11 +2662,13 @@ <h1>Command Line<a class="headerlink" href="#command-line" title="Permalink to t
                         &#39;shufflenetv2k30-apollo-66&#39;, &#39;mobilenetv2&#39;,
                         &#39;mobilenetv3small&#39;, &#39;mobilenetv3large&#39;, &#39;resnet50&#39;,
                         &#39;shufflenetv2k16&#39;, &#39;shufflenetv2k16-withdense&#39;,
-                        &#39;shufflenetv2k30&#39;, &#39;swin_s&#39;, &#39;swin_b&#39;,
-                        &#39;swin_t_input_upsample&#39;, &#39;mobilenetv3small-cocodet&#39;,
-                        &#39;resnet18-cocodet&#39;, &#39;resnet50-crowdpose&#39;,
-                        &#39;shufflenetv2k16-nuscenes&#39;, &#39;tshufflenetv2k30&#39;,
-                        &#39;shufflenetv2k16-wholebody&#39;,
+                        &#39;shufflenetv2k30&#39;, &#39;shufflenetv2k30*&#39;, &#39;swin_s&#39;,
+                        &#39;swin_b&#39;, &#39;swin_t_input_upsample&#39;,
+                        &#39;swin_l_input_upsample&#39;, &#39;hrformerbasecat&#39;,
+                        &#39;clipconvnextbase&#39;, &#39;convnextv2base&#39;,
+                        &#39;mobilenetv3small-cocodet&#39;, &#39;resnet18-cocodet&#39;,
+                        &#39;resnet50-crowdpose&#39;, &#39;shufflenetv2k16-nuscenes&#39;,
+                        &#39;tshufflenetv2k30&#39;, &#39;shufflenetv2k16-wholebody&#39;,
                         &#39;shufflenetv2k30-wholebody&#39;] (default: None)
   --basenet BASENET     base network, one of [&#39;mobilenetv2&#39;,
                         &#39;mobilenetv3large&#39;, &#39;mobilenetv3small&#39;, &#39;resnet18&#39;,
@@ -2707,16 +2717,27 @@ <h1>Command Line<a class="headerlink" href="#command-line" title="Permalink to t
 </div>
 <div class="cell_output docutils container">
 <div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>usage: python3 -m openpifpaf.export_coreml [-h] [--version]
-                                           [--hrformer-scale-level HRFORMER_SCALE_LEVEL]
-                                           [--hrformer-no-pretrain]
-                                           [--clipconvnext-no-pretrain]
-                                           [--convnextv2-no-pretrain]
+                                           [--shufflenetv2-no-pretrain]
+                                           [--squeezenet-no-pretrain]
+                                           [--shufflenetv2k-input-conv2-stride SHUFFLENETV2K_INPUT_CONV2_STRIDE]
+                                           [--shufflenetv2k-input-conv2-outchannels SHUFFLENETV2K_INPUT_CONV2_OUTCHANNELS]
+                                           [--shufflenetv2k-stage4-dilation SHUFFLENETV2K_STAGE4_DILATION]
+                                           [--shufflenetv2k-kernel SHUFFLENETV2K_KERNEL]
+                                           [--shufflenetv2k-conv5-as-stage]
+                                           [--shufflenetv2k-instance-norm | --shufflenetv2k-group-norm]
+                                           [--shufflenetv2k-leaky-relu]
+                                           [--mobilenetv2-no-pretrain]
+                                           [--mobilenetv3-no-pretrain]
                                            [--resnet-no-pretrain]
                                            [--resnet-pool0-stride RESNET_POOL0_STRIDE]
                                            [--resnet-input-conv-stride RESNET_INPUT_CONV_STRIDE]
                                            [--resnet-input-conv2-stride RESNET_INPUT_CONV2_STRIDE]
                                            [--resnet-block5-dilation RESNET_BLOCK5_DILATION]
                                            [--resnet-remove-last-block]
+                                           [--hrformer-scale-level HRFORMER_SCALE_LEVEL]
+                                           [--hrformer-no-pretrain]
+                                           [--clipconvnext-no-pretrain]
+                                           [--convnextv2-no-pretrain]
                                            [--xcit-out-channels XCIT_OUT_CHANNELS]
                                            [--xcit-out-maxpool]
                                            [--xcit-no-pretrain]
@@ -2726,17 +2747,6 @@ <h1>Command Line<a class="headerlink" href="#command-line" title="Permalink to t
                                            [--swin-fpn-out-channels SWIN_FPN_OUT_CHANNELS]
                                            [--swin-fpn-level SWIN_FPN_LEVEL]
                                            [--swin-no-pretrain]
-                                           [--shufflenetv2-no-pretrain]
-                                           [--squeezenet-no-pretrain]
-                                           [--shufflenetv2k-input-conv2-stride SHUFFLENETV2K_INPUT_CONV2_STRIDE]
-                                           [--shufflenetv2k-input-conv2-outchannels SHUFFLENETV2K_INPUT_CONV2_OUTCHANNELS]
-                                           [--shufflenetv2k-stage4-dilation SHUFFLENETV2K_STAGE4_DILATION]
-                                           [--shufflenetv2k-kernel SHUFFLENETV2K_KERNEL]
-                                           [--shufflenetv2k-conv5-as-stage]
-                                           [--shufflenetv2k-instance-norm | --shufflenetv2k-group-norm]
-                                           [--shufflenetv2k-leaky-relu]
-                                           [--mobilenetv2-no-pretrain]
-                                           [--mobilenetv3-no-pretrain]
                                            [--cf4-dropout CF4_DROPOUT]
                                            [--cf4-no-inplace-ops]
                                            [--checkpoint CHECKPOINT]
@@ -2759,18 +2769,36 @@ <h1>Command Line<a class="headerlink" href="#command-line" title="Permalink to t
   --input-height INPUT_HEIGHT
   --minimum-deployment-target {iOS13,iOS14}
 
-HRFormer:
-  --hrformer-scale-level HRFORMER_SCALE_LEVEL
-                        level of the HRFormer pyramid (default: 0)
-  --hrformer-no-pretrain
+ShuffleNetv2:
+  --shufflenetv2-no-pretrain
                         use randomly initialized models (default: True)
 
-CLIPConvNeXt:
-  --clipconvnext-no-pretrain
+SqueezeNet:
+  --squeezenet-no-pretrain
                         use randomly initialized models (default: True)
 
-ConvNeXtV2:
-  --convnextv2-no-pretrain
+shufflenetv2k:
+  --shufflenetv2k-input-conv2-stride SHUFFLENETV2K_INPUT_CONV2_STRIDE
+                        stride of the optional 2nd input convolution (default:
+                        0)
+  --shufflenetv2k-input-conv2-outchannels SHUFFLENETV2K_INPUT_CONV2_OUTCHANNELS
+                        out channels of the optional 2nd input convolution
+                        (default: None)
+  --shufflenetv2k-stage4-dilation SHUFFLENETV2K_STAGE4_DILATION
+                        dilation factor of stage 4 (default: 1)
+  --shufflenetv2k-kernel SHUFFLENETV2K_KERNEL
+                        kernel width (default: 5)
+  --shufflenetv2k-conv5-as-stage
+  --shufflenetv2k-instance-norm
+  --shufflenetv2k-group-norm
+  --shufflenetv2k-leaky-relu
+
+MobileNetV2:
+  --mobilenetv2-no-pretrain
+                        use randomly initialized models (default: True)
+
+MobileNetV3:
+  --mobilenetv3-no-pretrain
                         use randomly initialized models (default: True)
 
 ResNet:
@@ -2788,6 +2816,20 @@ <h1>Command Line<a class="headerlink" href="#command-line" title="Permalink to t
                         create a network without the last block (default:
                         False)
 
+HRFormer:
+  --hrformer-scale-level HRFORMER_SCALE_LEVEL
+                        level of the HRFormer pyramid (default: 0)
+  --hrformer-no-pretrain
+                        use randomly initialized models (default: True)
+
+CLIPConvNeXt:
+  --clipconvnext-no-pretrain
+                        use randomly initialized models (default: True)
+
+ConvNeXtV2:
+  --convnextv2-no-pretrain
+                        use randomly initialized models (default: True)
+
 XCiT:
   --xcit-out-channels XCIT_OUT_CHANNELS
                         number of output channels for optional projection
@@ -2813,38 +2855,6 @@ <h1>Command Line<a class="headerlink" href="#command-line" title="Permalink to t
                         resolution) and 4 (lowest resolution) (default: 3)
   --swin-no-pretrain    use randomly initialized models (default: True)
 
-ShuffleNetv2:
-  --shufflenetv2-no-pretrain
-                        use randomly initialized models (default: True)
-
-SqueezeNet:
-  --squeezenet-no-pretrain
-                        use randomly initialized models (default: True)
-
-shufflenetv2k:
-  --shufflenetv2k-input-conv2-stride SHUFFLENETV2K_INPUT_CONV2_STRIDE
-                        stride of the optional 2nd input convolution (default:
-                        0)
-  --shufflenetv2k-input-conv2-outchannels SHUFFLENETV2K_INPUT_CONV2_OUTCHANNELS
-                        out channels of the optional 2nd input convolution
-                        (default: None)
-  --shufflenetv2k-stage4-dilation SHUFFLENETV2K_STAGE4_DILATION
-                        dilation factor of stage 4 (default: 1)
-  --shufflenetv2k-kernel SHUFFLENETV2K_KERNEL
-                        kernel width (default: 5)
-  --shufflenetv2k-conv5-as-stage
-  --shufflenetv2k-instance-norm
-  --shufflenetv2k-group-norm
-  --shufflenetv2k-leaky-relu
-
-MobileNetV2:
-  --mobilenetv2-no-pretrain
-                        use randomly initialized models (default: True)
-
-MobileNetV3:
-  --mobilenetv3-no-pretrain
-                        use randomly initialized models (default: True)
-
 CompositeField4:
   --cf4-dropout CF4_DROPOUT
                         [experimental] zeroing probability of feature in head
@@ -2861,11 +2871,13 @@ <h1>Command Line<a class="headerlink" href="#command-line" title="Permalink to t
                         &#39;shufflenetv2k30-apollo-66&#39;, &#39;mobilenetv2&#39;,
                         &#39;mobilenetv3small&#39;, &#39;mobilenetv3large&#39;, &#39;resnet50&#39;,
                         &#39;shufflenetv2k16&#39;, &#39;shufflenetv2k16-withdense&#39;,
-                        &#39;shufflenetv2k30&#39;, &#39;swin_s&#39;, &#39;swin_b&#39;,
-                        &#39;swin_t_input_upsample&#39;, &#39;mobilenetv3small-cocodet&#39;,
-                        &#39;resnet18-cocodet&#39;, &#39;resnet50-crowdpose&#39;,
-                        &#39;shufflenetv2k16-nuscenes&#39;, &#39;tshufflenetv2k30&#39;,
-                        &#39;shufflenetv2k16-wholebody&#39;,
+                        &#39;shufflenetv2k30&#39;, &#39;shufflenetv2k30*&#39;, &#39;swin_s&#39;,
+                        &#39;swin_b&#39;, &#39;swin_t_input_upsample&#39;,
+                        &#39;swin_l_input_upsample&#39;, &#39;hrformerbasecat&#39;,
+                        &#39;clipconvnextbase&#39;, &#39;convnextv2base&#39;,
+                        &#39;mobilenetv3small-cocodet&#39;, &#39;resnet18-cocodet&#39;,
+                        &#39;resnet50-crowdpose&#39;, &#39;shufflenetv2k16-nuscenes&#39;,
+                        &#39;tshufflenetv2k30&#39;, &#39;shufflenetv2k16-wholebody&#39;,
                         &#39;shufflenetv2k30-wholebody&#39;] (default: None)
   --basenet BASENET     base network, one of [&#39;mobilenetv2&#39;,
                         &#39;mobilenetv3large&#39;, &#39;mobilenetv3small&#39;, &#39;resnet18&#39;,
diff --git a/dev/dev.html b/dev/dev.html
index c618c04ab..282064300 100644
--- a/dev/dev.html
+++ b/dev/dev.html
@@ -710,7 +710,7 @@ <h2>Build Guide<a class="headerlink" href="#build-guide" title="Permalink to thi
 jupyter_core==5.7.1
 jupyter_server==2.10.0
 jupyter_server_terminals==0.5.2
-jupyterlab==4.1.3
+jupyterlab==4.1.4
 jupyterlab-widgets==1.1.7
 jupyterlab_pygments==0.3.0
 jupyterlab_server==2.24.0
@@ -834,7 +834,7 @@ <h2>Build Guide<a class="headerlink" href="#build-guide" title="Permalink to thi
 </div>
 </div>
 <div class="cell_output docutils container">
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>OpenPifPaf 0.14.1+11.gdd32c38
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>OpenPifPaf 0.14.1+12.gffb127e
 </pre></div>
 </div>
 </div>
diff --git a/dev/models.html b/dev/models.html
index 437fd3a55..b89a798a8 100644
--- a/dev/models.html
+++ b/dev/models.html
@@ -622,9 +622,14 @@ <h2>Pretrained Models<a class="headerlink" href="#pretrained-models" title="Perm
  &#39;shufflenetv2k16&#39;,
  &#39;shufflenetv2k16-withdense&#39;,
  &#39;shufflenetv2k30&#39;,
+ &#39;shufflenetv2k30*&#39;,
  &#39;swin_s&#39;,
  &#39;swin_b&#39;,
  &#39;swin_t_input_upsample&#39;,
+ &#39;swin_l_input_upsample&#39;,
+ &#39;hrformerbasecat&#39;,
+ &#39;clipconvnextbase&#39;,
+ &#39;convnextv2base&#39;,
  &#39;mobilenetv3small-cocodet&#39;,
  &#39;resnet18-cocodet&#39;,
  &#39;resnet50-crowdpose&#39;,
diff --git a/dev/performance.html b/dev/performance.html
index 8f74a6cbc..6bf5b071b 100644
--- a/dev/performance.html
+++ b/dev/performance.html
@@ -794,109 +794,109 @@ <h2>Profile Decoder<a class="headerlink" href="#profile-decoder" title="Permalin
 DEBUG:openpifpaf.transforms.pad:valid area before pad: [  0.   0. 639. 426.], image size = (640, 427)
 DEBUG:openpifpaf.transforms.pad:pad with (0, 3, 1, 3)
 DEBUG:openpifpaf.transforms.pad:valid area after pad: [  0.   3. 639. 426.], image size = (641, 433)
-DEBUG:openpifpaf.decoder.decoder:nn processing time: 441.7ms
-DEBUG:openpifpaf.decoder.decoder:parallel execution with worker &lt;openpifpaf.decoder.decoder.DummyPool object at 0x7fd610b63f10&gt;
+DEBUG:openpifpaf.decoder.decoder:nn processing time: 433.3ms
+DEBUG:openpifpaf.decoder.decoder:parallel execution with worker &lt;openpifpaf.decoder.decoder.DummyPool object at 0x7fb3c825ff10&gt;
 DEBUG:openpifpaf.decoder.multi:task 0
-DEBUG:openpifpaf.decoder.cifcaf:cpp annotations = 5 (9.3ms)
+DEBUG:openpifpaf.decoder.cifcaf:cpp annotations = 5 (9.8ms)
 INFO:openpifpaf.decoder.cifcaf:annotations 5: [16, 14, 13, 12, 12]
 INFO:openpifpaf.profiler:writing profile file profile_decoder.prof
-         366 function calls in 0.010 seconds
+         366 function calls in 0.011 seconds
 
    Ordered by: internal time
 
    ncalls  tottime  percall  cumtime  percall filename:lineno(function)
-        1    0.010    0.010    0.010    0.010 /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/openpifpaf/decoder/cifcaf.py:224(__call__)
+        1    0.010    0.010    0.011    0.011 /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/openpifpaf/decoder/cifcaf.py:224(__call__)
         5    0.000    0.000    0.000    0.000 /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/openpifpaf/annotation.py:17(__init__)
        15    0.000    0.000    0.000    0.000 {method &#39;numpy&#39; of &#39;torch._C.TensorBase&#39; objects}
        10    0.000    0.000    0.000    0.000 {method &#39;reduce&#39; of &#39;numpy.ufunc&#39; objects}
-        2    0.000    0.000    0.000    0.000 /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/logging/__init__.py:283(__init__)
        10    0.000    0.000    0.000    0.000 {built-in method numpy.asarray}
+        2    0.000    0.000    0.000    0.000 /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/logging/__init__.py:283(__init__)
         1    0.000    0.000    0.000    0.000 /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/openpifpaf/visualizer/cif.py:47(predicted)
         2    0.000    0.000    0.000    0.000 {method &#39;flush&#39; of &#39;_io.TextIOWrapper&#39; objects}
         1    0.000    0.000    0.000    0.000 /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/openpifpaf/decoder/cifcaf.py:276(&lt;listcomp&gt;)
        10    0.000    0.000    0.000    0.000 /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/numpy/core/fromnumeric.py:71(_wrapreduction)
         2    0.000    0.000    0.000    0.000 {method &#39;unbind&#39; of &#39;torch._C.TensorBase&#39; objects}
        15    0.000    0.000    0.000    0.000 /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/torch/_tensor.py:1058(__array__)
+        1    0.000    0.000    0.000    0.000 /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/torch/_tensor.py:996(__len__)
         1    0.000    0.000    0.000    0.000 /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/openpifpaf/visualizer/caf.py:47(predicted)
+       10    0.000    0.000    0.000    0.000 {built-in method numpy.zeros}
        10    0.000    0.000    0.000    0.000 /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/numpy/core/fromnumeric.py:2177(sum)
         5    0.000    0.000    0.000    0.000 /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/openpifpaf/visualizer/base.py:114(indices)
-        1    0.000    0.000    0.000    0.000 /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/torch/_tensor.py:996(__len__)
-       10    0.000    0.000    0.000    0.000 {built-in method numpy.zeros}
-        5    0.000    0.000    0.000    0.000 {method &#39;tolist&#39; of &#39;numpy.ndarray&#39; objects}
         2    0.000    0.000    0.000    0.000 /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/logging/__init__.py:1724(isEnabledFor)
         2    0.000    0.000    0.000    0.000 /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/logging/__init__.py:359(getMessage)
+        5    0.000    0.000    0.000    0.000 {method &#39;tolist&#39; of &#39;numpy.ndarray&#39; objects}
         2    0.000    0.000    0.000    0.000 /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/logging/__init__.py:1549(findCaller)
+       24    0.000    0.000    0.000    0.000 {built-in method builtins.len}
         2    0.000    0.000    0.000    0.000 /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/logging/__init__.py:1680(callHandlers)
         2    0.000    0.000    0.000    0.000 /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/torch/_tensor.py:1012(__iter__)
-       24    0.000    0.000    0.000    0.000 {built-in method builtins.len}
+        2    0.000    0.000    0.000    0.000 /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/posixpath.py:140(basename)
         2    0.000    0.000    0.000    0.000 /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/logging/__init__.py:1088(emit)
-        2    0.000    0.000    0.000    0.000 /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/logging/__init__.py:1077(flush)
        10    0.000    0.000    0.000    0.000 /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/numpy/core/fromnumeric.py:72(&lt;dictcomp&gt;)
-       19    0.000    0.000    0.000    0.000 {built-in method builtins.isinstance}
-        2    0.000    0.000    0.000    0.000 /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/posixpath.py:140(basename)
         2    0.000    0.000    0.000    0.000 /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/logging/__init__.py:1600(_log)
-        2    0.000    0.000    0.000    0.000 /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/logging/__init__.py:1585(makeRecord)
+       19    0.000    0.000    0.000    0.000 {built-in method builtins.isinstance}
+        2    0.000    0.000    0.000    0.000 /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/logging/__init__.py:1077(flush)
+       15    0.000    0.000    0.000    0.000 {method &#39;astype&#39; of &#39;numpy.ndarray&#39; objects}
+        2    0.000    0.000    0.000    0.000 /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/posixpath.py:117(splitext)
         2    0.000    0.000    0.000    0.000 /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/logging/__init__.py:955(handle)
+        2    0.000    0.000    0.000    0.000 /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/logging/__init__.py:438(format)
         1    0.000    0.000    0.000    0.000 /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/logging/__init__.py:1455(debug)
-       15    0.000    0.000    0.000    0.000 {method &#39;astype&#39; of &#39;numpy.ndarray&#39; objects}
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+INFO:openpifpaf.network.trainer:{&#39;type&#39;: &#39;train&#39;, &#39;epoch&#39;: 2, &#39;batch&#39;: 2650, &#39;n_batches&#39;: 3125, &#39;time&#39;: 0.009, &#39;data_time&#39;: 0.001, &#39;lr&#39;: 3e-06, &#39;loss&#39;: -10.945, &#39;head_losses&#39;: [-10.756, -0.189, 0.0]}
+INFO:openpifpaf.network.trainer:{&#39;type&#39;: &#39;train&#39;, &#39;epoch&#39;: 2, &#39;batch&#39;: 2700, &#39;n_batches&#39;: 3125, &#39;time&#39;: 0.008, &#39;data_time&#39;: 0.001, &#39;lr&#39;: 3e-06, &#39;loss&#39;: -11.512, &#39;head_losses&#39;: [-11.354, -0.158, 0.0]}
+INFO:openpifpaf.network.trainer:{&#39;type&#39;: &#39;train&#39;, &#39;epoch&#39;: 2, &#39;batch&#39;: 2750, &#39;n_batches&#39;: 3125, &#39;time&#39;: 0.008, &#39;data_time&#39;: 0.001, &#39;lr&#39;: 3e-06, &#39;loss&#39;: -10.89, &#39;head_losses&#39;: [-10.706, -0.184, 0.0]}
+INFO:openpifpaf.network.trainer:{&#39;type&#39;: &#39;train&#39;, &#39;epoch&#39;: 2, &#39;batch&#39;: 2800, &#39;n_batches&#39;: 3125, &#39;time&#39;: 0.008, &#39;data_time&#39;: 0.001, &#39;lr&#39;: 3e-06, &#39;loss&#39;: -11.307, &#39;head_losses&#39;: [-11.147, -0.16, 0.0]}
+INFO:openpifpaf.network.trainer:{&#39;type&#39;: &#39;train&#39;, &#39;epoch&#39;: 2, &#39;batch&#39;: 2850, &#39;n_batches&#39;: 3125, &#39;time&#39;: 0.008, &#39;data_time&#39;: 0.001, &#39;lr&#39;: 3e-06, &#39;loss&#39;: -11.197, &#39;head_losses&#39;: [-11.039, -0.158, 0.0]}
+INFO:openpifpaf.network.trainer:{&#39;type&#39;: &#39;train&#39;, &#39;epoch&#39;: 2, &#39;batch&#39;: 2900, &#39;n_batches&#39;: 3125, &#39;time&#39;: 0.009, &#39;data_time&#39;: 0.002, &#39;lr&#39;: 3e-06, &#39;loss&#39;: -10.029, &#39;head_losses&#39;: [-9.864, -0.164, 0.0]}
+INFO:openpifpaf.network.trainer:{&#39;type&#39;: &#39;train&#39;, &#39;epoch&#39;: 2, &#39;batch&#39;: 2950, &#39;n_batches&#39;: 3125, &#39;time&#39;: 0.008, &#39;data_time&#39;: 0.002, &#39;lr&#39;: 3e-06, &#39;loss&#39;: -11.34, &#39;head_losses&#39;: [-11.145, -0.195, 0.0]}
+INFO:openpifpaf.network.trainer:{&#39;type&#39;: &#39;train&#39;, &#39;epoch&#39;: 2, &#39;batch&#39;: 3000, &#39;n_batches&#39;: 3125, &#39;time&#39;: 0.008, &#39;data_time&#39;: 0.001, &#39;lr&#39;: 3e-06, &#39;loss&#39;: -10.413, &#39;head_losses&#39;: [-10.24, -0.173, 0.0]}
+INFO:openpifpaf.network.trainer:{&#39;type&#39;: &#39;train&#39;, &#39;epoch&#39;: 2, &#39;batch&#39;: 3050, &#39;n_batches&#39;: 3125, &#39;time&#39;: 0.009, &#39;data_time&#39;: 0.002, &#39;lr&#39;: 3e-06, &#39;loss&#39;: -11.255, &#39;head_losses&#39;: [-11.094, -0.161, 0.0]}
+INFO:openpifpaf.network.trainer:{&#39;type&#39;: &#39;train&#39;, &#39;epoch&#39;: 2, &#39;batch&#39;: 3100, &#39;n_batches&#39;: 3125, &#39;time&#39;: 0.008, &#39;data_time&#39;: 0.002, &#39;lr&#39;: 3e-06, &#39;loss&#39;: -11.324, &#39;head_losses&#39;: [-11.127, -0.197, 0.0]}
 INFO:openpifpaf.network.trainer:applying ema
-INFO:openpifpaf.network.trainer:{&#39;type&#39;: &#39;train-epoch&#39;, &#39;epoch&#39;: 3, &#39;loss&#39;: -10.60155, &#39;head_losses&#39;: [-10.4552, -0.14635, 0.0], &#39;time&#39;: 36.9, &#39;n_clipped_grad&#39;: 0, &#39;max_norm&#39;: 0.0}
+INFO:openpifpaf.network.trainer:{&#39;type&#39;: &#39;train-epoch&#39;, &#39;epoch&#39;: 3, &#39;loss&#39;: -10.86747, &#39;head_losses&#39;: [-10.70674, -0.16074, 0.0], &#39;time&#39;: 34.7, &#39;n_clipped_grad&#39;: 0, &#39;max_norm&#39;: 0.0}
 INFO:openpifpaf.network.trainer:model written: cifar10_tutorial.pkl.epoch003
 INFO:openpifpaf.network.trainer:training state written: cifar10_tutorial.pkl.optim.epoch003
-INFO:openpifpaf.network.trainer:{&#39;type&#39;: &#39;val-epoch&#39;, &#39;epoch&#39;: 3, &#39;loss&#39;: -10.65023, &#39;head_losses&#39;: [-10.48837, -0.16186, 0.0], &#39;time&#39;: 5.2}
+INFO:openpifpaf.network.trainer:{&#39;type&#39;: &#39;val-epoch&#39;, &#39;epoch&#39;: 3, &#39;loss&#39;: -10.90739, &#39;head_losses&#39;: [-10.73048, -0.17691, 0.0], &#39;time&#39;: 5.1}
 </pre></div>
 </div>
 </div>
@@ -873,7 +873,7 @@ <h2>Plot Training Logs<a class="headerlink" href="#plot-training-logs" title="Pe
 <img alt="_images/plugins_cifar10_12_6.png" src="_images/plugins_cifar10_12_6.png" />
 <img alt="_images/plugins_cifar10_12_7.png" src="_images/plugins_cifar10_12_7.png" />
 <img alt="_images/plugins_cifar10_12_8.png" src="_images/plugins_cifar10_12_8.png" />
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>cifar10_tutorial.pkl.log: {&#39;message&#39;: &#39;&#39;, &#39;levelname&#39;: &#39;INFO&#39;, &#39;name&#39;: &#39;openpifpaf.network.trainer&#39;, &#39;asctime&#39;: &#39;2024-03-07 13:36:26,230&#39;, &#39;type&#39;: &#39;train&#39;, &#39;epoch&#39;: 2, &#39;batch&#39;: 3100, &#39;n_batches&#39;: 3125, &#39;time&#39;: 0.009, &#39;data_time&#39;: 0.002, &#39;lr&#39;: 3e-06, &#39;loss&#39;: -10.822, &#39;head_losses&#39;: [-10.649, -0.173, 0.0]}
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>cifar10_tutorial.pkl.log: {&#39;message&#39;: &#39;&#39;, &#39;levelname&#39;: &#39;INFO&#39;, &#39;name&#39;: &#39;openpifpaf.network.trainer&#39;, &#39;asctime&#39;: &#39;2024-03-07 16:55:23,388&#39;, &#39;type&#39;: &#39;train&#39;, &#39;epoch&#39;: 2, &#39;batch&#39;: 3100, &#39;n_batches&#39;: 3125, &#39;time&#39;: 0.008, &#39;data_time&#39;: 0.002, &#39;lr&#39;: 3e-06, &#39;loss&#39;: -11.324, &#39;head_losses&#39;: [-11.127, -0.197, 0.0]}
 </pre></div>
 </div>
 </div>
@@ -903,7 +903,7 @@ <h2>Prediction<a class="headerlink" href="#prediction" title="Permalink to this
 </div>
 </div>
 <div class="cell_output docutils container">
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>[{&quot;category_id&quot;: 1, &quot;category&quot;: &quot;plane&quot;, &quot;score&quot;: 0.388, &quot;bbox&quot;: [4.98, 4.89, 20.98, 21.0]}, {&quot;category_id&quot;: 9, &quot;category&quot;: &quot;ship&quot;, &quot;score&quot;: 0.351, &quot;bbox&quot;: [4.98, 4.88, 21.04, 20.96]}, {&quot;category_id&quot;: 3, &quot;category&quot;: &quot;bird&quot;, &quot;score&quot;: 0.346, &quot;bbox&quot;: [4.8, 5.09, 21.23, 21.08]}, {&quot;category_id&quot;: 4, &quot;category&quot;: &quot;cat&quot;, &quot;score&quot;: 0.305, &quot;bbox&quot;: [4.94, 5.0, 20.98, 20.86]}, {&quot;category_id&quot;: 5, &quot;category&quot;: &quot;deer&quot;, &quot;score&quot;: 0.282, &quot;bbox&quot;: [4.72, 5.23, 21.24, 20.97]}, {&quot;category_id&quot;: 6, &quot;category&quot;: &quot;dog&quot;, &quot;score&quot;: 0.274, &quot;bbox&quot;: [4.88, 5.05, 20.97, 21.06]}, {&quot;category_id&quot;: 7, &quot;category&quot;: &quot;frog&quot;, &quot;score&quot;: 0.184, &quot;bbox&quot;: [5.0, 4.89, 20.75, 20.96]}, {&quot;category_id&quot;: 8, &quot;category&quot;: &quot;horse&quot;, &quot;score&quot;: 0.182, &quot;bbox&quot;: [5.0, 5.04, 20.86, 21.07]}, {&quot;category_id&quot;: 10, &quot;category&quot;: &quot;truck&quot;, &quot;score&quot;: 0.167, &quot;bbox&quot;: [4.97, 4.8, 21.01, 21.01]}][{&quot;category_id&quot;: 2, &quot;category&quot;: &quot;car&quot;, &quot;score&quot;: 0.494, &quot;bbox&quot;: [5.15, 5.03, 20.88, 20.85]}, {&quot;category_id&quot;: 10, &quot;category&quot;: &quot;truck&quot;, &quot;score&quot;: 0.439, &quot;bbox&quot;: [5.21, 4.98, 20.94, 20.72]}, {&quot;category_id&quot;: 9, &quot;category&quot;: &quot;ship&quot;, &quot;score&quot;: 0.3, &quot;bbox&quot;: [5.14, 4.73, 21.04, 21.08]}, {&quot;category_id&quot;: 1, &quot;category&quot;: &quot;plane&quot;, &quot;score&quot;: 0.217, &quot;bbox&quot;: [5.02, 4.86, 20.97, 21.06]}, {&quot;category_id&quot;: 8, &quot;category&quot;: &quot;horse&quot;, &quot;score&quot;: 0.154, &quot;bbox&quot;: [4.83, 5.08, 20.99, 20.94]}][{&quot;category_id&quot;: 9, &quot;category&quot;: &quot;ship&quot;, &quot;score&quot;: 0.377, &quot;bbox&quot;: [5.12, 5.05, 21.02, 21.04]}, {&quot;category_id&quot;: 2, &quot;category&quot;: &quot;car&quot;, &quot;score&quot;: 0.358, &quot;bbox&quot;: [5.13, 5.09, 20.77, 20.82]}, {&quot;category_id&quot;: 10, &quot;category&quot;: &quot;truck&quot;, &quot;score&quot;: 0.347, &quot;bbox&quot;: [5.14, 4.93, 20.85, 20.94]}, {&quot;category_id&quot;: 1, &quot;category&quot;: &quot;plane&quot;, &quot;score&quot;: 0.347, &quot;bbox&quot;: [5.02, 5.01, 20.98, 21.01]}, {&quot;category_id&quot;: 3, &quot;category&quot;: &quot;bird&quot;, &quot;score&quot;: 0.213, &quot;bbox&quot;: [5.15, 5.0, 20.92, 21.02]}, {&quot;category_id&quot;: 4, &quot;category&quot;: &quot;cat&quot;, &quot;score&quot;: 0.179, &quot;bbox&quot;: [5.05, 5.08, 21.06, 20.9]}, {&quot;category_id&quot;: 8, &quot;category&quot;: &quot;horse&quot;, &quot;score&quot;: 0.166, &quot;bbox&quot;: [5.03, 5.11, 21.02, 20.93]}, {&quot;category_id&quot;: 5, &quot;category&quot;: &quot;deer&quot;, &quot;score&quot;: 0.162, &quot;bbox&quot;: [5.08, 5.03, 20.91, 20.96]}, {&quot;category_id&quot;: 6, &quot;category&quot;: &quot;dog&quot;, &quot;score&quot;: 0.155, &quot;bbox&quot;: [5.06, 5.03, 20.92, 20.88]}][{&quot;category_id&quot;: 10, &quot;category&quot;: &quot;truck&quot;, &quot;score&quot;: 0.347, &quot;bbox&quot;: [4.87, 4.99, 21.0, 21.0]}, {&quot;category_id&quot;: 2, &quot;category&quot;: &quot;car&quot;, &quot;score&quot;: 0.318, &quot;bbox&quot;: [4.93, 4.99, 21.05, 20.99]}, {&quot;category_id&quot;: 1, &quot;category&quot;: &quot;plane&quot;, &quot;score&quot;: 0.314, &quot;bbox&quot;: [4.99, 5.03, 20.98, 21.0]}, {&quot;category_id&quot;: 9, &quot;category&quot;: &quot;ship&quot;, &quot;score&quot;: 0.31, &quot;bbox&quot;: [5.03, 5.01, 20.98, 20.99]}, {&quot;category_id&quot;: 4, &quot;category&quot;: &quot;cat&quot;, &quot;score&quot;: 0.302, &quot;bbox&quot;: [5.02, 5.08, 21.0, 20.99]}, {&quot;category_id&quot;: 8, &quot;category&quot;: &quot;horse&quot;, &quot;score&quot;: 0.295, &quot;bbox&quot;: [5.02, 5.09, 21.05, 20.96]}, {&quot;category_id&quot;: 6, &quot;category&quot;: &quot;dog&quot;, &quot;score&quot;: 0.279, &quot;bbox&quot;: [4.97, 5.1, 20.99, 21.02]}, {&quot;category_id&quot;: 3, &quot;category&quot;: &quot;bird&quot;, &quot;score&quot;: 0.272, &quot;bbox&quot;: [4.94, 4.98, 21.05, 21.0]}, {&quot;category_id&quot;: 5, &quot;category&quot;: &quot;deer&quot;, &quot;score&quot;: 0.244, &quot;bbox&quot;: [4.97, 5.11, 21.04, 21.04]}, {&quot;category_id&quot;: 7, &quot;category&quot;: &quot;frog&quot;, &quot;score&quot;: 0.214, &quot;bbox&quot;: [5.06, 5.14, 21.01, 21.01]}]
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>[{&quot;category_id&quot;: 1, &quot;category&quot;: &quot;plane&quot;, &quot;score&quot;: 0.401, &quot;bbox&quot;: [5.05, 5.05, 21.02, 21.02]}, {&quot;category_id&quot;: 9, &quot;category&quot;: &quot;ship&quot;, &quot;score&quot;: 0.36, &quot;bbox&quot;: [4.97, 5.07, 20.98, 20.96]}, {&quot;category_id&quot;: 3, &quot;category&quot;: &quot;bird&quot;, &quot;score&quot;: 0.338, &quot;bbox&quot;: [4.98, 4.99, 21.05, 21.06]}, {&quot;category_id&quot;: 5, &quot;category&quot;: &quot;deer&quot;, &quot;score&quot;: 0.269, &quot;bbox&quot;: [4.95, 4.96, 21.0, 21.09]}, {&quot;category_id&quot;: 8, &quot;category&quot;: &quot;horse&quot;, &quot;score&quot;: 0.223, &quot;bbox&quot;: [4.96, 4.93, 21.01, 21.01]}, {&quot;category_id&quot;: 6, &quot;category&quot;: &quot;dog&quot;, &quot;score&quot;: 0.223, &quot;bbox&quot;: [5.01, 5.07, 20.99, 20.93]}, {&quot;category_id&quot;: 4, &quot;category&quot;: &quot;cat&quot;, &quot;score&quot;: 0.218, &quot;bbox&quot;: [5.01, 5.0, 20.97, 21.01]}, {&quot;category_id&quot;: 10, &quot;category&quot;: &quot;truck&quot;, &quot;score&quot;: 0.189, &quot;bbox&quot;: [4.98, 5.05, 21.01, 20.98]}][{&quot;category_id&quot;: 2, &quot;category&quot;: &quot;car&quot;, &quot;score&quot;: 0.453, &quot;bbox&quot;: [4.97, 4.52, 20.99, 21.03]}, {&quot;category_id&quot;: 10, &quot;category&quot;: &quot;truck&quot;, &quot;score&quot;: 0.432, &quot;bbox&quot;: [3.94, 5.03, 21.23, 21.22]}, {&quot;category_id&quot;: 9, &quot;category&quot;: &quot;ship&quot;, &quot;score&quot;: 0.239, &quot;bbox&quot;: [4.65, 5.12, 21.09, 21.12]}, {&quot;category_id&quot;: 1, &quot;category&quot;: &quot;plane&quot;, &quot;score&quot;: 0.203, &quot;bbox&quot;: [4.96, 5.26, 21.07, 21.14]}][{&quot;category_id&quot;: 1, &quot;category&quot;: &quot;plane&quot;, &quot;score&quot;: 0.37, &quot;bbox&quot;: [4.88, 5.1, 21.04, 20.98]}, {&quot;category_id&quot;: 9, &quot;category&quot;: &quot;ship&quot;, &quot;score&quot;: 0.368, &quot;bbox&quot;: [4.92, 5.03, 20.98, 20.96]}, {&quot;category_id&quot;: 3, &quot;category&quot;: &quot;bird&quot;, &quot;score&quot;: 0.293, &quot;bbox&quot;: [4.89, 5.03, 20.99, 21.01]}, {&quot;category_id&quot;: 10, &quot;category&quot;: &quot;truck&quot;, &quot;score&quot;: 0.246, &quot;bbox&quot;: [4.91, 5.16, 21.04, 20.96]}, {&quot;category_id&quot;: 2, &quot;category&quot;: &quot;car&quot;, &quot;score&quot;: 0.227, &quot;bbox&quot;: [4.94, 5.06, 20.98, 20.96]}, {&quot;category_id&quot;: 4, &quot;category&quot;: &quot;cat&quot;, &quot;score&quot;: 0.209, &quot;bbox&quot;: [5.08, 5.05, 20.92, 20.95]}, {&quot;category_id&quot;: 5, &quot;category&quot;: &quot;deer&quot;, &quot;score&quot;: 0.197, &quot;bbox&quot;: [4.94, 5.02, 20.97, 21.05]}, {&quot;category_id&quot;: 8, &quot;category&quot;: &quot;horse&quot;, &quot;score&quot;: 0.191, &quot;bbox&quot;: [5.09, 5.01, 20.96, 21.01]}, {&quot;category_id&quot;: 6, &quot;category&quot;: &quot;dog&quot;, &quot;score&quot;: 0.168, &quot;bbox&quot;: [5.05, 5.05, 21.02, 21.01]}][{&quot;category_id&quot;: 10, &quot;category&quot;: &quot;truck&quot;, &quot;score&quot;: 0.379, &quot;bbox&quot;: [5.19, 4.76, 21.02, 21.0]}, {&quot;category_id&quot;: 8, &quot;category&quot;: &quot;horse&quot;, &quot;score&quot;: 0.319, &quot;bbox&quot;: [5.05, 5.06, 20.94, 20.97]}, {&quot;category_id&quot;: 4, &quot;category&quot;: &quot;cat&quot;, &quot;score&quot;: 0.298, &quot;bbox&quot;: [5.14, 5.05, 20.94, 21.02]}, {&quot;category_id&quot;: 2, &quot;category&quot;: &quot;car&quot;, &quot;score&quot;: 0.297, &quot;bbox&quot;: [5.05, 4.79, 21.01, 21.07]}, {&quot;category_id&quot;: 6, &quot;category&quot;: &quot;dog&quot;, &quot;score&quot;: 0.252, &quot;bbox&quot;: [5.0, 5.11, 20.94, 20.92]}, {&quot;category_id&quot;: 9, &quot;category&quot;: &quot;ship&quot;, &quot;score&quot;: 0.213, &quot;bbox&quot;: [5.01, 5.07, 21.04, 21.0]}, {&quot;category_id&quot;: 3, &quot;category&quot;: &quot;bird&quot;, &quot;score&quot;: 0.201, &quot;bbox&quot;: [5.01, 5.07, 20.96, 21.01]}, {&quot;category_id&quot;: 1, &quot;category&quot;: &quot;plane&quot;, &quot;score&quot;: 0.195, &quot;bbox&quot;: [5.08, 5.04, 21.01, 21.01]}, {&quot;category_id&quot;: 7, &quot;category&quot;: &quot;frog&quot;, &quot;score&quot;: 0.184, &quot;bbox&quot;: [5.09, 5.03, 20.97, 20.93]}, {&quot;category_id&quot;: 5, &quot;category&quot;: &quot;deer&quot;, &quot;score&quot;: 0.162, &quot;bbox&quot;: [4.97, 5.07, 20.96, 21.06]}]
 </pre></div>
 </div>
 </div>
@@ -935,19 +935,19 @@ <h2>Prediction<a class="headerlink" href="#prediction" title="Permalink to this
 </div>
 <div class="cell_output docutils container">
 <img alt="_images/plugins_cifar10_17_0.png" src="_images/plugins_cifar10_17_0.png" />
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>[&#39;plane 39%&#39;, &#39;ship 35%&#39;, &#39;bird 35%&#39;, &#39;cat 30%&#39;]
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>[&#39;plane 40%&#39;, &#39;ship 36%&#39;, &#39;bird 34%&#39;]
 </pre></div>
 </div>
 <img alt="_images/plugins_cifar10_17_2.png" src="_images/plugins_cifar10_17_2.png" />
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>[&#39;car 49%&#39;, &#39;truck 44%&#39;]
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>[&#39;car 45%&#39;, &#39;truck 43%&#39;]
 </pre></div>
 </div>
 <img alt="_images/plugins_cifar10_17_4.png" src="_images/plugins_cifar10_17_4.png" />
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>[&#39;ship 38%&#39;, &#39;car 36%&#39;, &#39;truck 35%&#39;, &#39;plane 35%&#39;]
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>[&#39;plane 37%&#39;, &#39;ship 37%&#39;]
 </pre></div>
 </div>
 <img alt="_images/plugins_cifar10_17_6.png" src="_images/plugins_cifar10_17_6.png" />
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>[&#39;truck 35%&#39;, &#39;car 32%&#39;, &#39;plane 31%&#39;, &#39;ship 31%&#39;, &#39;cat 30%&#39;]
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>[&#39;truck 38%&#39;, &#39;horse 32%&#39;]
 </pre></div>
 </div>
 </div>
@@ -994,17 +994,17 @@ <h2>Evaluation<a class="headerlink" href="#evaluation" title="Permalink to this
         &quot;truck&quot;
     ],
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-    &quot;total_time&quot;: 23.24204638899994,
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     &quot;n_images&quot;: 10000,
-    &quot;decoder_time&quot;: 7.900744615997951,
-    &quot;nn_time&quot;: 6.1861409589948835
+    &quot;decoder_time&quot;: 7.581975587003512,
+    &quot;nn_time&quot;: 6.035341635002169
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 INFO:openpifpaf.predictor:neural network device: cpu (CUDA available: False, count: 0)
-INFO:openpifpaf.decoder.cifdet:annotations 3, decoder = 8.6ms
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 /home/runner/work/openpifpaf/openpifpaf/src/openpifpaf/csrc/src/cif_hr.cpp:102: UserInfo: resizing cifhr buffer
 /home/runner/work/openpifpaf/openpifpaf/src/openpifpaf/csrc/src/occupancy.cpp:53: UserInfo: resizing occupancy buffer
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- &#39;shufflenetv2x2&#39;: &lt;object at 0x7f8e684b8e90&gt;,
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diff --git a/dev/predict_api.html b/dev/predict_api.html
index ab58e8c57..5201b2df3 100644
--- a/dev/predict_api.html
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diff --git a/dev/train.html b/dev/train.html
index 236f4bc02..5b44bee17 100644
--- a/dev/train.html
+++ b/dev/train.html
@@ -773,8 +773,8 @@ <h2>ShuffleNet<a class="headerlink" href="#shufflenet" title="Permalink to this
 We found that for stable training, the learning rate <span class="math notranslate nohighlight">\(\lambda\)</span>,
 the <code class="docutils literal notranslate"><span class="pre">clip-grad-value</span></code> <span class="math notranslate nohighlight">\(c\)</span> and the <span class="math notranslate nohighlight">\(\epsilon\)</span> from the denominator of the
 BatchNorm should obey:</p>
-<div class="amsmath math notranslate nohighlight" id="equation-8e55a3dc-9c82-457b-90dd-6c2c073da7fa">
-<span class="eqno">(1)<a class="headerlink" href="#equation-8e55a3dc-9c82-457b-90dd-6c2c073da7fa" title="Permalink to this equation">#</a></span>\[\begin{align}
+<div class="amsmath math notranslate nohighlight" id="equation-0627f699-4582-4fdc-b334-f83830a53312">
+<span class="eqno">(1)<a class="headerlink" href="#equation-0627f699-4582-4fdc-b334-f83830a53312" title="Permalink to this equation">#</a></span>\[\begin{align}
     \lambda \cdot c &amp;\leq \sqrt{\epsilon}
 \end{align}\]</div>
 <p>where the default <span class="math notranslate nohighlight">\(\epsilon\)</span> is <span class="math notranslate nohighlight">\(10^{-4}\)</span> (different from the PyTorch default).