Some error in export to onnx

[Halafz7]

So I tried to train yolov5m-quant.yaml with coco128.yaml. When it's done, i want to export it but error come like this

Traceback (most recent call last): File "/content/quantized-yolov5/models/experimental.py", line 97, in attempt_load ema = ckpt['ema' if ckpt.get('ema') else 'model'].float() KeyError: 'model'

During handling of the above exception, another exception occurred:

Traceback (most recent call last): File "/content/quantized-yolov5/export.py", line 418, in main(opt) File "/content/quantized-yolov5/export.py", line 406, in main run(**vars(opt)) File "/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py", line 115, in decorate_context return func(*args, **kwargs) File "/content/quantized-yolov5/export.py", line 317, in run model = attempt_load(weights, map_location=device, inplace=True, fuse=True) # load FP32 model File "/content/quantized-yolov5/models/experimental.py", line 105, in attempt_load ema.load_state_dict(ckpt) File "/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py", line 2152, in load_state_dict raise RuntimeError('Error(s) in loading state_dict for {}:\n\t{}'.format( RuntimeError: Error(s) in loading state_dict for Model: Missing key(s) in state_dict: "model.13.m.0.quant_identity.act_quant.fused_activation_quant_proxy.tensor_quant.scaling_impl.value", "model.13.m.1.quant_identity.act_quant.fused_activation_quant_proxy.tensor_quant.scaling_impl.value", "model.17.m.0.quant_identity.act_quant.fused_activation_quant_proxy.tensor_quant.scaling_impl.value", "model.17.m.1.quant_identity.act_quant.fused_activation_quant_proxy.tensor_quant.scaling_impl.value", "model.20.m.0.quant_identity.act_quant.fused_activation_quant_proxy.tensor_quant.scaling_impl.value", "model.20.m.1.quant_identity.act_quant.fused_activation_quant_proxy.tensor_quant.scaling_impl.value", "model.23.m.0.quant_identity.act_quant.fused_activation_quant_proxy.tensor_quant.scaling_impl.value", "model.23.m.1.quant_identity.act_quant.fused_activation_quant_proxy.tensor_quant.scaling_impl.value". size mismatch for model.24.m.0.weight: copying a param with shape torch.Size([255, 192, 1, 1]) from checkpoint, the shape in current model is torch.Size([18, 192, 1, 1]). size mismatch for model.24.m.1.weight: copying a param with shape torch.Size([255, 384, 1, 1]) from checkpoint, the shape in current model is torch.Size([18, 384, 1, 1]). size mismatch for model.24.m.2.weight: copying a param with shape torch.Size([255, 768, 1, 1]) from checkpoint, the shape in current model is torch.Size([18, 768, 1, 1]).

Do you have some advice or suggestion about this error? Thankyou

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[sefaburakokcu]

Hi @Halafz7, Thank you for your interest. Can you share your command for exporting the model?

[Halafz7]

Sure, i ran it on Colab and saved the weights on my Gdrive

! python export.py --data coco128.yaml --weights /content/gdrive/MyDrive/models/CheckpointsYOLO/YOLOv5/yolov5medium/weights/last.pt --nodetect

[sefaburakokcu]

As the error states, you are trying to load weights from 80 classes into a model with only one class. However, your export arguments seem correct.

I think that attempt_load could not found your model.yaml. Can you replace last.pt with best.pt in your arguments?

[Halafz7]

Won't the classes switch automatically during training?

I did replaced the weight with best.pt but still got the same error