Spaces:
Running
on
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Running
on
Zero
kxhit
commited on
Commit
·
57cc7d0
1
Parent(s):
329487d
make get_conf pickle
Browse files- dust3r/cloud_opt/commons.py +40 -10
dust3r/cloud_opt/commons.py
CHANGED
@@ -4,6 +4,8 @@
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# --------------------------------------------------------
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# utility functions for global alignment
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# --------------------------------------------------------
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import torch
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import torch.nn as nn
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import numpy as np
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@@ -45,18 +47,46 @@ def get_imshapes(edges, pred_i, pred_j):
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return imshapes
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def get_conf_trf(mode):
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if mode
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def conf_trf(x): return x.log()
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elif mode == 'sqrt':
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def conf_trf(x): return x.sqrt()
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elif mode == 'm1':
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def conf_trf(x): return x-1
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elif mode in ('id', 'none'):
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def conf_trf(x): return x
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else:
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raise ValueError(f'bad mode for {mode=}')
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return
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def l2_dist(a, b, weight):
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# --------------------------------------------------------
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# utility functions for global alignment
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# --------------------------------------------------------
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import xmlrpc.client
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import torch
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import torch.nn as nn
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import numpy as np
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return imshapes
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# def get_conf_trf(mode):
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# if mode == 'log':
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# def conf_trf(x): return x.log()
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# elif mode == 'sqrt':
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# def conf_trf(x): return x.sqrt()
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# elif mode == 'm1':
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# def conf_trf(x): return x-1
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# elif mode in ('id', 'none'):
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# def conf_trf(x): return x
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# else:
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# raise ValueError(f'bad mode for {mode=}')
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# return conf_trf
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def conf_trf_log(x):
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return x.log()
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def conf_trf_sqrt(x):
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return x.sqrt()
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def conf_trf_m1(x):
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return x - 1
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def conf_trf_id(x):
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return x
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# Mapping of modes to their corresponding functions
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conf_trf_map = {
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'log': conf_trf_log,
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'sqrt': conf_trf_sqrt,
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'm1': conf_trf_m1,
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'id': conf_trf_id,
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'none': conf_trf_id
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}
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def get_conf_trf(mode):
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if mode not in conf_trf_map:
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raise ValueError(f'bad mode for {mode=}')
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return conf_trf_map[mode]
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def l2_dist(a, b, weight):
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