I want to know how to train a Multiple object detection task? And how to create this kind of lmdb date?
May I know how to create multiple object lmdb dataset without digits? I think the script is in DIGITS but I don't know how to create a lmdb dataset, can you show me how?
I had already checked these two references before, but could not get what I wanted. For multi-object detection I could just change that “custom class” to create the database?
It’s because in our training environment there doesn’t have a gui. So I have to create a database manually. And then use nvcaffe to train a model in that environment. So I really appreciate if you could tell me how to do it.
Really thanks for your reply.
In KITTI format, each kind of class have a unique folder and there are train data and validation data in that unique folder. If I want to make a multi-object detection task, can I put all kinds of data in only one folder, but with train folder and validation folder in that one folder?
Or do you have an example for me?
When creating image lmdb and label lmdb for multi-object detection task. Do I need to put the label in image lmdb file? or just need to create a label lmdb file and put all bbox and class number in it?
And of course I need to know the label format. So can you provide such label format for nvcaffe to read?
Sorry for the late reply.
There is little difference between single-object detection and multi-object detection problem.
For single object-detection, the label value is 0 or 1.
For multiple object detection, the label value is 0, 1, …, N.
But the database preparation, training process, inference testing are shared.
So if you have updated your label file to KITTI format, just run the default script.