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This repository was archived by the owner on Nov 16, 2019. It is now read-only.
DataLayer use data_param instead of memory_data_param #294
I want to train a object detection model based on CaffeOnSpark, whose training image size varies, and may not resize easily because tags on images is based on origin image size.
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[-]DataLayer use data_param instead memory_data_param[/-][+]DataLayer use data_param instead of memory_data_param[/+]junshi15 commentedon Dec 29, 2017
You can only use memory_data_param or cos_data_param to specify the input layers.
The data layers have simple resize function, but I don't think it handles encoded images (say JPEG) with variable sizes.
I would pre-processe the images (resize, rotate, etc) before feeding them to Caffe.
ooyanglinoo commentedon Jan 2, 2018
I want to train a object detection model based on CaffeOnSpark, whose training image size varies, and may not resize easily because tags on images is based on origin image size.