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Evaluation about mcunet-320KB(Imagenet) #11
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Hi, could you change the argument to |
Oh, I haven't type it clearly. |
This is weird. Can you try evaluating the VWW dataset, which I have provided as a zip copy? |
Hi, for vww dataset, you need to test on vww models like
|
Thank you!!For vww dataset, I get the right accyracy. |
Hi, thanks for confirming. I just pulled the repo and verified that I could reproduce the number. It should be related to the dataset processing. The number of iterations for testing also does not match. |
Thank you so much!! For imagenet dataset that provided by you. |
Thanks for the great work.
I run this line to evluate the performance if this model
python eval_torch.py --net_id mcunet-320kB --dataset {imagenet/} --data-dir PATH/TO/DATA/val
But the accuracy just gets about 11%,
And I use this github to preprate the Imagenet dataset
https://gist.github.com/antoinebrl/7d00d5cb6c95ef194c737392ef7e476a
The validation just like this setting,it split to 1000 folders and each folder have about 50 images
Could you tell me the possible reason?
Or I use the wrong way to split the Imagenet on validation?
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