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May I ask how did you process the event input of the ResNet-34 backbone and Deeplabv3 decoder? What is the bin size that you set?
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```
TypeError: torch.FloatTensor constructor received an invalid combination of arguments - got (int, int, numpy.int64, numpy.int64), but expected one of:
* no arguments
* (int ...)
didn't…
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Hi everyone,
I'm trying to convert ResNet-34.t7 model to caffe format. But convertion fails at start. Log attached.
Does anyone have ideas what I am doing wrong?
BTW, the same behavior I obtain while…
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Adding a folder related to transfer learning in PyTorch, with popular pre-trained models like VGG-16, VGG-19 and several ResNet models (18, 34, 50, 101, 152).
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I am using these repository with my own custom dataset. I can work with available backbones but I want to also use VGG 16, Resnet 18 backbone. How can I use it? Is it possible to use here torchvision.…
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Thank you for your Resnet implementation with MxNet. This is a good example especially for beginner.
I still follow this project and follow the train steps for imagenet. We want to reproduce your res…
ghost updated
5 years ago
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Hi,
I am trying out this code (https://github.com/fangwei123456/spikingjelly/blob/master/spikingjelly/activation_based/ann2snn/examples/resnet18_cifar10.py). The only difference is I am using resnet-…
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Thank you for the wonderful work and sharing the code. May I kindly ask if I can replace convolutional layers (e.g. VGG-16, ResNet-34,
DenseNet-121) with vision transformer as the feature extractor?
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Hi, thanks for the great work !
I want to test speed on my own RTX3090 with fp32. Which file do I need to run and where do I modify the config? We want to cite your method and make a fair comparison…
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Hi guys, I'm downloaded the pretrain model of face recognition ArcFace Resnet-34, but I need to export the model with dynamic batch in ONNX format. What thing I can do to achieve that?