counterfactual-world-models / cwm /eval /Segmentation /archive /common /convert_dino_checkpoint_detectron_format.py
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import torch
import argparse
import sys
sys.path.append('../../../')
from model_utils import Block, _cfg, PatchEmbed, get_sinusoid_encoding_table
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()
breakpoint()
state_dict = torch.load(args.input, map_location='cpu')
new_state_dict = {}
for k, v in state_dict.items():
if 'pos_embed' in k:
breakpoint()
else:
pass
k = 'backbone.net.' + k
new_state_dict[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)