Closed zhanghua7099 closed 3 years ago
Currently, the dataloader is coded in such a way that it accepts coco format only. You can easily convert your dataset into coco format. COCO format is as follow, DATASET_FOLDER: annotations/ instances_train2017.json -> Contains training images info instances_val2017.json -> Contains validation images info train2017/ contains the training images val2017/ contains the validation images
You can refer to the sample dataset at https://drive.google.com/drive/folders/1LrS2TKsgd1OVvrfObirDQBCaE4u2NSUN?usp=sharing if you want.(Sample dataset contains only train json and train images, have to create val json and images similarly)
Thank you for your reply!
Thank you for your reply!
This code seems to only support COCO 2017 dataset. How to train in another dataset? Can you give some advice?
Have you realized it?Now I want to use my own datasets to train the SuperGlue, but the error happens when training. So I want to ask if you have achieved it, and I want some suggestions from you.
Thank you for your reply!
This code seems to only support COCO 2017 dataset. How to train in another dataset? Can you give some advice?
Have you realized it?Now I want to use my own datasets to train the SuperGlue, but the error happens when training. So I want to ask if you have achieved it, and I want some suggestions from you.
Did any of you manage to train it on your own dataset? I have a similar problem where I'll be annotating my own data but unsure about the annotations format. Please refer to issue # 17.
@Shafaq-S Hey, did you get the solution on how to manage to generate such files for our respective custom dataset?
@Shafaq-S Hey, did you get the solution on how to manage to generate such files for our respective custom dataset?
I decided to not go with COCO format and defined my custom json annotations. Currently, I'm in the process of annotating my data. Still have to test the code with it.
@Shafaq-S Hey any updates regarding the json format of annotations? Need some help regarding the same.
This code seems to only support COCO 2017 dataset. How to train in another dataset? Can you give some advice?