Problem in Data Generation

[YMX2022]

Hi! Wonderful work.
I am currently training the model with my own data using the dataset-generation code you provided.
However, there is an error returning as
.
I am training on 2 RTX4090 GPUs with 24Gb for each one, is this ram enough for training data generation?
If not, how can I revise the script to decrease the GPU ram for data generation.

Thank you.

[XuDong Frank Wang]

Hi, I suggest using GPUs with higher memory for running the data generation codes. Additionally, consider generating the bounding boxes/masks first using the bounding box/mask generation section of the code, and then save these results locally. Once saved, you can proceed with running the instance-caption generation codes. This approach should help in reducing memory usage by avoiding the need to generate everything simultaneously.

Hope it helps.

[Bryan Constantine 汪萬丁]

Not sure if you have solved the problem, but I can run the Data Generation Process using two RTX A5000 GPUs by distributing the setup as follows: Loading the BLIP2 model to a GPU, while the rest of the models are loaded to another

Doing so will use ~24GB on the BLIP2 GPU and ~11GB on the other models GPU.
Hope this helps!