Anchor generator
Your team is developing object detection models based on the Faster R-CNN architecture and using pre-trained backbones. Your task is to create anchor boxes to serve as reference bounding boxes for proposing potential object regions.
You will create 9 standard anchors (3 box sizes and 3 aspect ratios).
torch has been import for you.
Questo esercizio fa parte del corso
Deep Learning for Images with PyTorch
Istruzioni dell'esercizio
- Import
AnchorGeneratorfromtorchvision.models.detection.rpn. - Configure anchor sizes with 3 values:
((32, 64, 128),). - Configure aspect ratio with 3 values
`((0.5, 1.0, 2.0),). - Instantiate
AnchorGeneratorwithanchor_sizesandaspect_ratios.
Esercizio pratico interattivo
Prova a risolvere questo esercizio completando il codice di esempio.
# Import AnchorGenerator
____
# Configure anchor size
anchor_sizes = ____
# Configure aspect ratio
aspect_ratios = ____
# Instantiate AnchorGenerator
rpn_anchor_generator = ____