Luo shiyong

Dear author Hello! I'm a sophomore student. I read your article "h-denseunet" and related codes. Your design is very exquisite, and it's also the only open source and high-precision article...

the problem of loss = nan

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hi! I want to use nnunet to solve the lits17 dataset ,but the train loss and val loss is always nan,i don't know how to fixd it. Can you give...

i use 3090*8 and set batch_size =2, but train terminated for cuda out of memory, how can i do ?

AttributeError: Can't get attribute '__main__' on <module 'builtins' (built-in)>

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fine-tuning stage after yolov8-seg prune using torch-pruning, when use torch.load to load save model, the error occured 

loss problem

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 (1) mse_diff here I understand is to predict the noise, target (noisy added) shape=[b,1,h,w], but model_output shape=[b,2,h,w], last issue you answer here two channels represent the mean and variance,...

yolov6s quant problem

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### Before Asking - [X] I have read the [README](https://github.com/meituan/YOLOv6/blob/main/README.md) carefully. 我已经仔细阅读了README上的操作指引。 - [X] I want to train my custom dataset, and I have read the [tutorials for training your...

yolov5离线量化报错

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----------- Running Arguments ----------- arch: YOLOv5 dataset_dir: /mnt/data01/luoshiyong/data/liugang model_dir: /mnt/data01/luoshiyong/code/PaddleSlim-release-2.5/yolov5out/best.onnx skip_tensors: None train_anno_path: annotations/instances1_train.json train_image_dir: images/train val_anno_path: annotations/instances1_val.json val_image_dir: images/val ------------------------------------------ loading annotations into memory... Done (t=0.22s) creating index... index...

why the yolov8 int8 quant using pytorch_quant is slower than trt --fp16 quant

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devicec : nvidia NX 1.using trt --fp16 ` /usr/src/tensorrt/bin/trtexec --onnx=best.onnx --workspace=4096 --saveEngine=best.engine --fp16` the result of infer speed is 36.8ms 2. using pytorch_quant int8 `/usr/src/tensorrt/bin/trtexec --onnx=best.onnx --saveEngine=v8s_ptq.engine --int8 --workspace=4096` the...

x2paddle转换yolov5后推理报错

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在将pytorch的yolov5转换到paddle过程中eval报错 - 错误信息 ValueError: (InvalidArgument) The 'shape' in ReshapeOp is invalid. The input tensor X'size must be equal to the capacity of 'shape'. But received X's shape = [1, 512,...