Shahul Hameed Akmal

Heyy ynourl. Did you find any alternatives or implement Fiber? Please let me know. Thanks

@paliwalradhika97 Hello were you able to train this model?. Please let me know if you did thanks

@f745311 Hello were you able to train this model locally?. Please do let me know thanks

Let me know if you found a solution for it @sucream1004 @deeplearningdiaries

Thanks. Nice work btw

Yes you are right. When you run the train script the train_8 file would be generated. And then you run the eval script to generate.

@SuroshAhmadZobair It does not run forever. You dont need to train it. You can interupt it right after the dataset is processed and it starts the training.

@gemyerst Not all images are supported for training. Before training process the jsons and delete the ones which throws an exception. Out of the 80,000 files, you'll be getting around...

@gemyerst Sorry for the delayed response. Here you go. ``` import json import numpy as np from glob import glob def reader(filename): with open(filename) as f: info = json.load(f) rms_bbs...

@Fatemeh-Mostafavi I am sorry without much context I cant help you with that. What I can do is give you the JSON zip file. So you can use it directly....