crossvit_base¶
The crossvit_base function provides a convenient way to create an instance of the CrossViT module with a comprehensive configuration that balances depth and width, following the base variant described in the CrossViT paper.
Total Parameters: 105,025,232
Function Signature¶
@register_model
def crossvit_base(num_classes: int = 1000, **kwargs) -> CrossViT
Parameters¶
num_classes (int, optional): The number of output classes for classification. Default is 1000.
kwargs (dict, optional): Additional keyword arguments to customize the CrossViT module.
Returns¶
CrossViT: An instance of the CrossViT module configured with the base variant settings.
Specifications¶
img_size: [240, 224]
embed_dim: [384, 768]
depth: [[1, 4, 0], [1, 4, 0], [1, 4, 0]]
num_heads: [12, 12]
mlp_ratio: [4, 4, 1]
qkv_bias: True
Examples¶
Creating a Default CrossViT-Base Model
import lucid.models as models
# Create a CrossViT-Base model with 1000 output classes
model = models.crossvit_base()
print(model) # Displays the CrossViT-Base architecture
Custom Number of Classes
# Create a CrossViT-Base model with 10 output classes
model = models.crossvit_base(num_classes=10)
print(model) # Displays the CrossViT-Base architecture with modified output