Use proper timecode flags sending to BKE_movieclip_get_ibuf_flag function,
so now frames for tracking would be full-resolution but calculated using
timecode defined in th interface,
Added slider to define scale of object solution which is used to define
"depth" of object relative to camera position. This slider effects on all
"users" of object solution such as bundles display, constrained objects and so.
Added new operator called "Set Solution Scale" to set real scale for object
solution based on real distance between two bundles reconstructed for this object.
New slider and operator can be found on "Object" panel in toolbox when in
reconstruction mode and active tracking object isn't a camera.
inconsistent with similar functions & math notation:
mul_m4_m4m4(R, B, A) => mult_m4_m4m4(R, A, B)
mul_m3_m3m4(R, B, A) => mult_m3_m3m4(R, A, B)
For branch maintainers, it should be relatively simple to fix things manually,
it's also possible run this script after merging to do automatic replacement:
http://www.pasteall.org/27459/python
- Bundles selection is now available for object's bundles
- If bundles selection wasn't changed in 3D viewport, fallback to regular
object selection, so objects behind bundles can be selected
- Snap cursor to selection now respects object's bundle selection
- Object and rack name now can be selected from list in constraint settings
- Added preset for tracks used for object tracking
Malloc is getting to be safe on sequence tracking by the jobs system,
so no additional set up are necessary.
This hopefully fixes crash on OSX with OpenMP enabled when compiling by older gcc
Keir's comment:
Add support for detecting tracking failure in the ESM tracker component of
libmv. Since both KLT and Hybrid rely on ESM underneath, KLT and Hybrid now
have a minimum correlation setting to match. With this fix, track failures
should get detected quicker, with the issue that sometimes the tracker will
give up too easily. That is fixable by reducing the required correlation (in
the track properties).
Command used for merge: svn merge -r 42396:42397 -r 42399:42400 ^/branches/soc-2011-tomato
- Fixed bug with not putting disabled markers properly when doing backwards tracking
- Fixed margin size calculating from pattern size which used to be double-sized
and prevented to track things on the image edges.
This commit implements basis stuff needed for object tracking,
use case isn't perfect now, interface also should be cleaned a bit.
- Added list of objects to be tracked. Default there's only one object called
"Camera" which is used for solving camera motion. Other objects can be added
and each of them will have it;s own list of tracks. Only one object can be used
for camera solving at this moment.
- Added new constraint called "Object Tracking" which makes oriented object be
moving in the save way as solved object motion.
- Scene orientation tools can be used for orienting object to bundles.
- All tools which works with list of tracks or reconstruction data now
gets that lists from active editing object.
- All objects and their tracking data are available via python api.
libmv. Since both KLT and Hybrid rely on ESM underneath, KLT and Hybrid now
have a minimum correlation setting to match. With this fix, track failures
should get detected quicker, with the issue that sometimes the tracker will
give up too easily. That is fixable by reducing the required correlation (in
the track properties).
Comment from Keir's commit:
Add a new hybrid region tracker for motion tracking to libmv, and
add it as an option (under "Hybrid") in the tracking settings. The
region tracker is a combination of brute force tracking for coarse
alignment, then refinement with the ESM/KLT algorithm already in
libmv that gives excellent subpixel precision (typically 1/50'th
of a pixel)
This also adds a new "brute force" region tracker which does a
brute force search through every pixel position in the destination
for the pattern in the first frame. It leverages SSE if available,
similar to the SAD tracker, to do this quickly. Currently it does
some unnecessary conversions to/from floating point that will get
fixed later.
The hybrid tracker glues the two trackers (brute & ESM) together
to get an overall better tracker. The algorithm is simple:
1. Track from frame 1 to frame 2 with the brute force tracker.
This tries every possible pixel position for the pattern from
frame 1 in frame 2. The position with the smallest
sum-of-absolute-differences is chosen. By definition, this
position is only accurate up to 1 pixel or so.
2. Using the result from 1, initialize a track with ESM. This does
a least-squares fit with subpixel precision.
3. If the ESM shift was more than 2 pixels, report failure.
4. If the ESM track shifted less than 2 pixels, then the track is
good and we're done. The rationale here is that if the
refinement stage shifts more than 1 pixel, then the brute force
result likely found some random position that's not a good fit.
svn command used: svn merge -r 42375:42376 -r 42377:42379 ^/branches/soc-2011-tomato
add it as an option (under "Hybrid") in the tracking settings. The
region tracker is a combination of brute force tracking for coarse
alignment, then refinement with the ESM/KLT algorithm already in
libmv that gives excellent subpixel precision (typically 1/50'th
of a pixel)
This also adds a new "brute force" region tracker which does a
brute force search through every pixel position in the destination
for the pattern in the first frame. It leverages SSE if available,
similar to the SAD tracker, to do this quickly. Currently it does
some unnecessary conversions to/from floating point that will get
fixed later.
The hybrid tracker glues the two trackers (brute & ESM) together
to get an overall better tracker. The algorithm is simple:
1. Track from frame 1 to frame 2 with the brute force tracker.
This tries every possible pixel position for the pattern from
frame 1 in frame 2. The position with the smallest
sum-of-absolute-differences is chosen. By definition, this
position is only accurate up to 1 pixel or so.
2. Using the result from 1, initialize a track with ESM. This does
a least-squares fit with subpixel precision.
3. If the ESM shift was more than 2 pixels, report failure.
4. If the ESM track shifted less than 2 pixels, then the track is
good and we're done. The rationale here is that if the
refinement stage shifts more than 1 pixel, then the brute force
result likely found some random position that's not a good fit.
In some cases solving can take a while (especially when refining is used)
and keeping interface locked is a bit annoying. Now camera solver is moved
to job system and interface isn't locking.
Reporting progress isn't really accurate, but trying to make it more linear
can lead to spending more effort on it than having benefit. Also, changing
status in the information line helps to understand that blender isn't hang
up and solving is till working nicely.
Main changes in code:
- libmv_solveReconstruction now accepts additional parameters:
* progress_update_callback - a function which is getting called
from solver algorithm to report progress back to Blender.
* callback_customdata - a user-defined context which is passing
to progress_update_callback so progress can be updated in needed
blender-side data structures.
This parameters are optional.
- Added structure MovieTrackingStats which is placed in MovieTracking
structure. It's supposed to be used for displaying information about
different operations (currently it's only camera solver, but can be
easily used for something else in the future) in clip editor.
This statistics structure is getting allocated for time operator is
working and not saving into .blend file.
- Clip Editor now displays statistics stored in MovieTrackingStats structure
like it's done for rendering.
This commit implements:
- Configurable settings for newly creating tracks
Now it's possible to set tracking algorithm and it's settings for
all newly creating tracks including manual tracks creation and
tracks creation by "Detect Features" operator.
- Moves margin, frames limit and adjust frame inside per-track
settings.
Was request from Francois for this.
- Adjust Frames replaced with menu called Pattern Match where it's
possible to choose between matching pattern from keyframe frame
or from previously tracked frame.
Didn't see somebody used adjust frames values differ from 0 and 1,
and this menu should make things more clear here/
Currently this stuff is used for 2d tracking job only, but the same
thing would necessary for camera solver job, so moved it into more
general utility stuff.
