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Create app.py

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  1. app.py +47 -0
app.py ADDED
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+ #!/usr/bin/env python3
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+ # Copyright (C) 2024-present Naver Corporation. All rights reserved.
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+ # Licensed under CC BY-NC-SA 4.0 (non-commercial use only).
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+ #
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+ # --------------------------------------------------------
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+ # gradio demo executable
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+ # --------------------------------------------------------
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+ import os
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+ import torch
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+ import tempfile
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+ from contextlib import nullcontext
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+
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+ from mast3r.demo import get_args_parser, main_demo
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+
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+ from mast3r.model import AsymmetricMASt3R
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+ from mast3r.utils.misc import hash_md5
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+
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+ import matplotlib.pyplot as pl
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+ pl.ion()
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+
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+ torch.backends.cuda.matmul.allow_tf32 = True # for gpu >= Ampere and pytorch >= 1.12
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+
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+ if __name__ == '__main__':
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+ parser = get_args_parser()
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+ args = parser.parse_args()
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+
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+ if args.server_name is not None:
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+ server_name = args.server_name
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+ else:
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+ server_name = '0.0.0.0' if args.local_network else '127.0.0.1'
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+
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+ if args.weights is not None:
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+ weights_path = args.weights
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+ else:
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+ weights_path = "naver/" + args.model_name
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+
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+ model = AsymmetricMASt3R.from_pretrained(weights_path).to(args.device)
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+ chkpt_tag = hash_md5(weights_path)
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+
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+ def get_context(tmp_dir):
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+ return tempfile.TemporaryDirectory(suffix='_mast3r_gradio_demo') if tmp_dir is None \
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+ else nullcontext(tmp_dir)
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+ with get_context(args.tmp_dir) as tmpdirname:
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+ cache_path = os.path.join(tmpdirname, chkpt_tag)
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+ os.makedirs(cache_path, exist_ok=True)
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+ main_demo(cache_path, model, args.device, args.image_size, server_name, args.server_port, silent=args.silent,
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+ share=args.share, gradio_delete_cache=args.gradio_delete_cache)