cwm/eval/Segmentation/archive/common/convert_cwm_checkpoint_detectron_format.py

import torch
import argparse

parser = argparse.ArgumentParser()
parser.add_argument('--input', type=str, help='The path to the checkpoint.')
parser.add_argument('--output', type=str, default=None, help='the output path of the checkpoint')
args = parser.parse_args()

state_dict = torch.load(args.input, map_location='cpu')['model']

new_state_dict = {}
for k, v in state_dict.items():
    if 'encoder' in k and not 'decoder' in k:
        new_k = 'backbone.net.model.' + k
        new_state_dict[new_k] = v

output_path = args.input.replace('.pth', '-encoder.pth') if args.output is None else args.output
torch.save(new_state_dict, output_path)
print('Save model to', output_path)