Open creativenoobie opened 4 years ago
Hi! I'm not sure I understand the question.
I just wanted to know how can I compile these models from graph to image (299x299)? I know I can just download from your S3 bucket but I don't want to increase your network costs since I will be deploying the same to cluster of servers so I was looking for an optimum solution that could help me.
Can you elaborate?
Basically, I am using nsfwjs with type: graph
:
nsfwjs.load('/path/to/different/model/', { type: 'graph' })
This process takes upto 150MB/worker in my nodejs application which is a lot tbh.
I just want to know how can I load model using size: 299x299
option. I am hoping that this will significantly reduce the memory usage.
I do understand that size
option won't work with https://github.com/GantMan/nsfw_model/releases/tag/1.1.0 models directly and I might need to convert these models before making it work so I just wanted to know how can I convert these models from graph to image?
The size option depends on the model you load. You won't be able to use the graph with 299, because it was trained on 224 data.
That is a lot of space. I wonder what's really taking up that process space. Have you experimented on loading smaller models?
You can create a 48kb model using this page I made: https://rps-tfjs.netlify.com/ I'd be interested in seeing the process memory for that.
Hey,
Thank you for all the efforts on this library.
So I downloaded the models from https://github.com/GantMan/nsfw_model/releases/tag/1.1.0 and was able to use them with nsfwjs using
graph
option.I just wanted to know how can I compile these models from graph to image (299x299)? I know I can just download from your S3 bucket but I don't want to increase your network costs since I will be deploying the same to cluster of servers so I was looking for an optimum solution that could help me.
Also, I just noticed that you've deployed a new model (mobilenetMid) with similar accuracy but decreased size, any tips on how to compile new model for backend (nodejs) use?