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README @ 37

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1	See:
2	license.m,
3	LearningCode/README
4
5	Version 0.1
6
7	Running OneShot3dEfficent the First Time
8	----------------------------------------
9
10	-Add the line "addpath(genpath('../ec2/bin/mex'));" to LearningCode/InitialPath.m, if it is not already there
11	-start matlab
12	-cd to LearningCode
13	-Run InitialPath
14	-Run "OneShot3dEfficient("input_image_name.jpg", "output_dir")
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19	A few points to note:
20	1. The code will not run out of the box. Therefore, unless
21	you have read the ICCV-3dRR paper, it would be hard to
22	make it run.
23	2. This code may differe from the one used for experiments
24	in ICCV-3dRR.
25	3. (For our recent submission for ICCV-3dRR + ICCV-vrml + NIPS
26	workshop on grammar of vision work, to IEEE-PAMI, please email us.)
27	4. For understanding the optimization used for learning and inference
28	in the paper (minimization of L1 norms), please first see:
29	http://www.stanford.edu/class/ee364a/lectures.html
30	(lecture 4 on convex optimization problems)
31	before emailing us.
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35	Useful links:
36	http://make3d.stanford.edu/publications
37	http://make3d.stanford.edu/publications/code
38	http://make3d.stanford.edu/publications/faq
39	http://make3d.stanford.edu/publications/contact

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