PeterKim1

Results 10 issues of PeterKim1

안녕하세요? 해당 도서로 공부하고 있는 대학원생입니다. 다름이 아니고, 4, 5장 예제로 FashionMNIST를 사용하고 계신데, torchvision의 transforms를 이용하시는 과정에서 사용된 transforms.Normalize((0.1307,), (0.3081,))은 어떻게 결정한 것인지 궁금합니다. 이것도 모델을 완성하는 사람의 노하우를...

Hello. I have one question about dice loss. According to these code lines(https://github.com/qubvel/segmentation_models/blob/master/segmentation_models/losses.py#L94:L105), dice loss is calculated by "1 - f_score". So, I understood if f_score is lower, than dice...

Hello. I have a question about function 'extract_endpoints' https://github.com/lukemelas/EfficientNet-PyTorch/blob/master/efficientnet_pytorch/model.py#L231 what is reduction level ? (https://github.com/lukemelas/EfficientNet-PyTorch/blob/master/efficientnet_pytorch/model.py#L240) and I want more explanation about this function. Thanks.

Hi. Thanks for your great works. I want to convert dinov2 to onnx, but failed. I try to refer https://github.com/facebookresearch/dinov2/issues/19 this Issue. I apply https://github.com/facebookresearch/dinov2/issues/19#issuecomment-1514310057 this, after that, https://github.com/facebookresearch/dinov2/issues/19#issuecomment-1514398389 this...

### 问题确认 Search before asking - [X] 我已经搜索过问题,但是没有找到解答。I have searched the question and found no related answer. ### 请提出你的问题 Please ask your question Hi. Thanks for your great works. I...

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### 问题确认 Search before asking - [X] 我已经搜索过问题,但是没有找到解答。I have searched the question and found no related answer. ### 请提出你的问题 Please ask your question Hi. Thanks for your great works. I...

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**Please fill in the information below so that we can solve the problem quickly, Thanks !** **Describe the bug** A clear and concise description of what the bug is. First,...

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Hi. Thank you for your great works. For converting custom ONNX model to TensorRT model, i used your codes. But cannot convert. Error message is below: [TensorRT] WARNING: onnx2trt_utils.cpp:362: Your...

Hello. I tried to run test_DREAM.py, but CUDA out of memory occur. (I use 15.90 GiB memory) I don't know well about all of your codes, but when i check...

Hello. I want to apply this model to large image dataset. (I have over 10,000 images) But RAM memory issue arise. https://github.com/hcw-00/PatchCore_anomaly_detection/blob/main/sampling_methods/kcenter_greedy.py#L95 ` self.features = model.transform(self.X)` I think this code...