Note that the pretrained models are trained with Z-up metric coordinates and do not generalize to other coordinates (this means that the scale and 2 axes of the orientation ambiguity of SFM must be resolved prior to using the poses). After that you can modify prepare_data.py to also prepare your data. For instance its particularly important to avoid polluting the global namespace: name collisions across a codebase of hundreds of millions of lines are. Find all your favorite toy brands in one spot, including Nerf, My Little Pony, Transformers, and more View action figures, dolls, electronic games. To use your own data you will need to put it in the same format as the sample data, or implement your own version of something like sample.py. Now system utilities that read the legacy process name such as ps, top and killall will recognize the name you set when assigning to 0. Note that if you do not plan to train you can prepare just the test set using the -test flag. On Linux as of perl v5.14.0 the legacy process name will be set with prctl (2), in addition to altering the POSIX name via argv 0 as perl has done since version 4.000.
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Python prepare_data.py -path DATAROOT -path_meta METAROOT -dataset scannet -i 0 -n 4 & Since Perl v5.6.0, Perl variable names may also be alphanumeric strings. Lexical scoping teaches you how R finds values from names, the process of lexical.
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