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                                            Guocheng

Why do we reverse the final dim of the image in "prep_image"?

opencv read in image format is BGR, so reverse the final dim convert to RGB format.

What is the purpose of adding 1 while calculating the box area?

It's about to avoid 0/0 situation.

Why does batch norm layer has the parameter of weight and bias?

just google batch normal definition, batch normal having learnable parameters , not just simply normalize the input data, every epoch will update its parameters.

微信中无法复制图片，可以从外部复制文字进去

> 微信无法发送图片： > sudo apt-get install libjpeg62:i386 🐮🍺

You forget the tanh function in the last computation in the part of def bottom_data_is():

yes

Use Argument linking to link `init_args` to `dict_kwargs`.

> Does your model have init parameters `input_width` and `input_height`? If so, then the links should be with `init_args` as described in the error message, i.e.: > > ```python >...

Use Argument linking to link `init_args` to `dict_kwargs`.

I understand. Using dependency injection could not solve my problem, I want to create a simple short unified command line, but dependency injection would make the `config.yaml` and training command...

Guocheng

Why do we reverse the final dim of the image in "prep_image"?

What is the purpose of adding 1 while calculating the box area?

Why does batch norm layer has the parameter of weight and bias?

微信中无法复制图片，可以从外部复制文字进去

微信中无法复制图片，可以从外部复制文字进去

购书意向

Hardware requirements

You forget the tanh function in the last computation in the part of def bottom_data_is():

Use Argument linking to link `init_args` to `dict_kwargs`.

Use Argument linking to link `init_args` to `dict_kwargs`.