Layer-by-layer visualizer for PyTorch models
Project description
torch-anatomy
Layer-by-layer visualizer for PyTorch models — Understand what each layer actually does.
Install
pip install torch-anatomy
Usage
from torch_anatomy import visualize_layers
from torchvision import models
model = models.resnet18(pretrained=True)
visualize_layers(
model=model,
input_image='dog.jpg',
layers_to_show=['Conv2d', 'ReLU'],
channels_per_layer=6,
colormap='inferno',
show_colorbar=True
)
Or from CLI:
torch-anatomy --model resnet18 --image dog.jpg
Features
- Plug-and-play for any PyTorch CNN
- Visualizes feature maps for key layers
- Customizable channels, colormap, and more
License
MIT
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