Comments (5)
Using ResNet?
from deepdanbooru.
Yes. It is based on Microsoft's resnet implementation.
https://github.com/microsoft/CNTK/tree/master/Examples/Image/Classification/ResNet
from deepdanbooru.
There are so many models to choose from
- https://github.com/BertMoons/Comparing-CNN-Architectures
- https://github.com/CeLuigi/models-comparison.pytorch
- https://github.com/yeephycho/nasnet-tensorflow
@BZbyr perhaps you can pick some examples that you would like to see.
from deepdanbooru.
@KichangKim if I am allowed to say this, are there any benchmarks or tests on multiple CNN architectures?
from deepdanbooru.
@KichangKim if I am allowed to say this, are there any benchmarks or tests on multiple CNN architectures?
In very early version of DeepDanbooru, I tested some types of CNN, like Inception, Squeeze-and-Excitation and so on. But not fully benchmarked it and chose ResNet for its simplicity and good reference code (in CNTK's repository). If you want, you can test yourself by extending deepdanbooru.model namespace.
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Related Issues (20)
- Help with training with optional tags
- pose detection
- Model
- requests.exceptions.JSONDecodeError HOT 1
- module 'tensorflow' has no attribute 'lite HOT 1
- Very strange issues with Checkerboard and Argyle patterns in images HOT 1
- How to properly train it? HOT 3
- Training script can't read dataset? HOT 3
- about model HOT 3
- Add a progress bar
- Best learnig rate
- How to output the result to txt? HOT 3
- is there any GPU acceleration? HOT 1
- Model input and output? HOT 4
- About Character Tags
- Docker image with DeepDanbooru HOT 4
- Error reading tags with Unicode in them HOT 1
- Does "deepdanbooru-v3-20211112-sgd-e28" contain nsfw tags? HOT 4
- How to compile this lib into C++
- Help deploying locally HOT 2
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