the effect of the 'weight' in the function 'F.binary_cross_entropy_with_logits'

[poppinjie]

Hello!Thanks for your work.It's complete(including training and tracking) and perfect. When I read the training code, I had a question. What's the effect of 'weight ' in the call 'F.binary_cross_entropy_with_logits' in 'losses.py'?

[gokberkyar]

Please have a look at parameter.json inside the experiment folder. You will see two hyperparameters : "pos_thr", "neg_thr". They are used to decide label values. ie. If the image within range pos_thr it get positive 1 , and in range between pos_thr and neg_thr it gets -1. If the distance is greater than neg_thr than that those labels's "weight" set as zero. If you read how lose is calculated again, you will see that weight zero pixels are not included in calculation.

[poppinjie]

Thank you so much!After reading your reply，I understand.------------------ 原始邮件 ------------------ 发件人: "Gökberk Yar"[email protected] 发送时间: 2020年5月6日(星期三) 凌晨5:52 收件人: "rafellerc/Pytorch-SiamFC"[email protected]; 抄送: "poppinjie"[email protected];"Author"[email protected]; 主题: Re: [rafellerc/Pytorch-SiamFC] the effect of the 'weight' in thefunction 'F.binary_cross_entropy_with_logits' (#32)

Please have a look at parameter.json inside the experiment folder. You will see two hyperparameters : "pos_thr", "neg_thr". They are used to decide label values. ie. If the image within range pos_thr it get positive 1 , and in range between pos_thr and neg_thr it gets -1. If the distance is greater than neg_thr than that those labels's "weight" set as zero. If you read how lose is calculated again, you will see that weight zero pixels are not included in calculation.

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