tensorflow / tensorflow/models
Use of TFRecord for object Detection API
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@pkulzc is already working on this.
Since May 12, 2020.
models:research
type:support
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- Python
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Description
Here for object detection training, first we are reading the images and XML and we are encoding it and storing it in tfrecord format, then while training, we are again decoding the data and giving that data for training, then what is the use of TFRecord here? Here, actually we are making the process slower, so why can't we just give the normal data to training? Can someone please help me clear this question?
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