Davis King
47ed6f2263
Fixed a bug in find_similarity_transform(). When given just two points as
...
inputs it would sometimes produce a reflection rather than a similarity
transform.
2015-01-14 20:39:05 -05:00
Davis King
c24c11f662
Added another reference on homography estimation
2015-01-06 17:54:27 -05:00
Davis King
ceec456678
Added some checks that the user produces PSI vectors that are the proper
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dimension.
2015-01-05 20:11:14 -05:00
Davis King
afa4fe0c23
Fixed some grammar and added a note about the bias term.
2015-01-05 17:39:37 -05:00
Davis King
a7e55c79e8
Added the option to force the last weight to 1 to the assignment learning
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tools.
2015-01-05 08:20:27 -05:00
Davis King
097354f7ed
Fixed assign_border_pixels(img, rect) so that it correctly zeros
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an image when an empty rectangle is supplied. Previously, it just
did nothing to the image in this case.
2015-01-04 09:11:34 -05:00
Davis King
7f7a93a21d
A minor change to allow a wider variety of output image types to be used. In
...
particular, this change allows complex valued images to be the output of
extract_image_chips().
2015-01-03 23:39:38 -05:00
Davis King
5b1fc42a82
updated docs
2015-01-03 23:35:52 -05:00
Davis King
5b5393f6ac
clarified example
2015-01-03 23:33:46 -05:00
Davis King
c335bf6756
Fixed the python doc string so that it's correct relative to the python
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API. Also made find_candidate_object_locations() correctly include any
input boxes in the call to the C++ version of the function.
2015-01-03 23:26:28 -05:00
Davis King
ab424628dc
Made this file executable
2015-01-03 23:26:02 -05:00
Vinh Khuc
173bb97f33
Explained the difference between pykvals in the Python API and kvals in C++ code
2015-01-03 15:03:05 -05:00
Vinh Khuc
067e36b505
Added a Python example for find_candidate_object_locations
2015-01-03 14:45:46 -05:00
Vinh Khuc
bf06ce7185
Added Python-binding for find_candidate_object_locations
2015-01-03 01:11:52 -05:00
Davis King
132b1abd1f
Made cmake not use the installed libjpeg on apple systems because it's broken
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on some newer OS X installs.
2015-01-01 19:08:06 -05:00
Davis King
01f030dda1
Made cmake check that libpng and libjpeg actually contain the link symbols they
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are supposed to since, on some systems, these libraries aren't installed
correctly and will cause linker errors if used.
2014-12-29 19:50:05 -05:00
Davis King
fa60632d28
Fixed a bug in extract_image_chips() and get_mapping_to_chip() that caused
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incorrect outputs when the requested chip stretched the image unevenly
vertically or horizontally. This is because we used the best similarity
transform rather than affine transform between the image and the output chip.
2014-12-29 17:55:40 -05:00
Davis King
201c1601c8
Added image_traits specializations for const types because it makes
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certain compiler errors you get when accidentally trying to mutate
a const image a little easier to understand.
2014-12-29 17:26:14 -05:00
Davis King
7cc653deda
Added a link to dlib on github
2014-12-28 07:45:43 -05:00
Davis King
44e3d6b817
cleaned up cmake file a little
2014-12-28 07:31:28 -05:00
Davis King
a093553e1d
updated docs
2014-12-27 18:15:18 -05:00
Davis King
ef06f0e8d5
Fixed grammar
2014-12-27 18:15:07 -05:00
Davis King
ad6c87b054
Merge github.com:davisking/dlib
2014-12-27 15:32:29 -05:00
Davis King
1ab3482597
Clarified a few comments and simplified the serialization code a bit.
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Also just cleaned up a few minor details.
2014-12-27 15:30:56 -05:00
Davis King
773fe59a34
Fixed grammar
2014-12-27 15:05:25 -05:00
Davis King
3a5b4e5f25
Fixed typo in assert I introduced a moment ago.
2014-12-27 14:56:22 -05:00
Davis King
96f3016a23
The nu parameter of the shape_predictor must be in the range (0,1].
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I changed the spec to reflect this.
2014-12-27 14:10:59 -05:00
Davis King
d4cbaecdcf
Created release v18.12
2014-12-20 16:24:33 -05:00
Davis King
4ec7f020fa
Added tag v18.12 for changeset 4e3941b13ca8
2014-12-20 16:24:33 -05:00
Davis King
09d154f725
Fixed policy setting so it works on old cmakes
2014-12-20 16:21:54 -05:00
Davis King
014f1d1654
Minor change to avoid warnings from newer cmake
2014-12-20 16:01:02 -05:00
Davis King
493c713acd
Removed quoting from path strings
2014-12-20 15:44:35 -05:00
Davis King
d502fc6f54
Fixed finding of boost python
2014-12-20 09:25:49 -05:00
Davis King
aa2c718cb2
updated docs
2014-12-20 09:07:58 -05:00
Davis King
f3bdbf3be8
Added license statements and also converted line endings to unix format
2014-12-19 21:47:47 -05:00
Davis King
d8dc5965a2
updated docs
2014-12-19 21:37:45 -05:00
Davis King
ce14edcb9e
added skeleton unit test
2014-12-19 20:18:55 -05:00
Davis King
0f24b1ff02
updated docs
2014-12-19 18:03:04 -05:00
Davis King
8bf02e3b47
Slightly improved skeleton output
2014-12-19 17:58:42 -05:00
Davis King
7f5b85a0f7
Added skeleton()
2014-12-19 08:02:31 -05:00
Davis King
f16022e2a5
updated docs
2014-12-15 16:18:40 -05:00
Davis King
da48facb19
Changed extract_image_chips() slightly so that it can take non-resizable images
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like cv_image as input.
2014-12-15 16:13:53 -05:00
Davis King
02c377e91e
merged
2014-12-14 19:37:48 -05:00
Davis King
53c5dd35f2
minor cleanup
2014-12-14 12:01:08 -05:00
Patrick Snape
37af35b55e
Re-add the cached object detector
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A little bit hacky, but should be fine. Supports both fhog
detectors and the "cached" simple_object_detector. Also, maintains
the upscale parameter for testing
2014-12-12 16:22:57 +00:00
Patrick Snape
fbe597be03
Add facial landmark prediction examples for Python
2014-12-11 15:01:08 +00:00
Patrick Snape
30869fbe03
Change logic for upsampling printing
2014-12-11 15:00:39 +00:00
Patrick Snape
dd19ce846e
Update the interface to be more Pythonic
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This is the biggest change so far. Now, there are two different
classes of interface. One where you pass ONLY file paths,
and one where you pass ONLY Python objects.
The file paths are maintained to keep a matching interface with
the C++ examples of dlib. So shape predicition and object
detection can be trained using the dlib XML file paths and then
serialize the detectors to disk.
Shape prediction and object detection can also be trained using
numpy arrays and in-memory objects. In this case, the predictor
and detector objects are returned from the training functions.
To facilitate serializing these objects, they now have a 'save'
method.
Tetsing follows a similar pattern, in that it can take either XML
files are or in-memory objects. I also added back the concept of
upsampling during testing to make amends for removing the
simple_object_detector_py struct.
2014-12-11 14:06:05 +00:00
Davis King
e4bc15fa9d
Made gaussian_blur return a rectangle that defines which part of the image
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has valid outputs.
2014-12-11 08:00:00 -05:00
Patrick Snape
8db3f4e572
Add a save method to detectors and predictors
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Also, removed the saving of the upsample which I missed from
before (since I'm not using the struct now). I understand why
the upsample was being saved, but I don't necessarily agree it
is particularly useful as you should really be upsampling on
a case by case basis at test time.
2014-12-11 12:34:20 +00:00
