chunked/nltk_chunking/_create_a_model/chunk_66.txt

Modify any of the [ViTImageProcessor] parameters to create your custom image processor:

from transformers import ViTImageProcessor
my_vit_extractor = ViTImageProcessor(resample="PIL.Image.BOX", do_normalize=False, image_mean=[0.3, 0.3, 0.3])
print(my_vit_extractor)
ViTImageProcessor {
  "do_normalize": false,
  "do_resize": true,
  "image_processor_type": "ViTImageProcessor",
  "image_mean": [
    0.3,
    0.3,
    0.3
  ],
  "image_std": [
    0.5,
    0.5,
    0.5
  ],
  "resample": "PIL.Image.BOX",
  "size": 224
}

Backbone

Computer vision models consist of a backbone, neck, and head.