View Source Evision.Detail.BestOf2NearestRangeMatcher (Evision v0.1.9)
Link to this section Summary
cv.detail
Performs images matching.
Performs images matching.
Positional Arguments
features1:
ImageFeatures
.
Python prototype (for reference):
##### Keyword Arguments
##### Keyword Arguments
##### Keyword Arguments
##### Keyword Arguments
@return True, if it's possible to use the same matcher instance in parallel, false otherwise
Functions
Raising version of apply2/2
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Raising version of apply2/3
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Raising version of apply/3
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Raising version of collectGarbage/1
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Raising version of create/1
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Raising version of detail_BestOf2NearestRangeMatcher/0
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Raising version of detail_BestOf2NearestRangeMatcher/1
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Raising version of isThreadSafe/1
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Link to this section cv.detail
Performs images matching.
Positional Arguments
features:
[ImageFeatures]
.Features of the source images
Keyword Arguments
mask:
Evision.Mat
.Mask indicating which image pairs must be matched
Return
pairwise_matches:
[MatchesInfo]
.Found pairwise matches
The function is parallelized with the TBB library. @sa detail::MatchesInfo
Python prototype (for reference):
apply2(features[, mask]) -> pairwise_matches
Performs images matching.
Positional Arguments
features:
[ImageFeatures]
.Features of the source images
Keyword Arguments
mask:
Evision.Mat
.Mask indicating which image pairs must be matched
Return
pairwise_matches:
[MatchesInfo]
.Found pairwise matches
The function is parallelized with the TBB library. @sa detail::MatchesInfo
Python prototype (for reference):
apply2(features[, mask]) -> pairwise_matches
Positional Arguments
features1:
ImageFeatures
.First image features
features2:
ImageFeatures
.Second image features
Return
matches_info:
MatchesInfo
.Found matches
Has overloading in C++
Python prototype (for reference):
apply(features1, features2) -> matches_info
Python prototype (for reference):
collectGarbage() -> None
##### Keyword Arguments
- try_use_gpu:
bool
. - match_conf:
float
. - num_matches_thresh1:
int
. - num_matches_thresh2:
int
.
Python prototype (for reference):
create([, try_use_gpu[, match_conf[, num_matches_thresh1[, num_matches_thresh2]]]]) -> retval
##### Keyword Arguments
- try_use_gpu:
bool
. - match_conf:
float
. - num_matches_thresh1:
int
. - num_matches_thresh2:
int
.
Python prototype (for reference):
create([, try_use_gpu[, match_conf[, num_matches_thresh1[, num_matches_thresh2]]]]) -> retval
##### Keyword Arguments
- range_width:
int
. - try_use_gpu:
bool
. - match_conf:
float
. - num_matches_thresh1:
int
. - num_matches_thresh2:
int
.
Python prototype (for reference):
BestOf2NearestRangeMatcher([, range_width[, try_use_gpu[, match_conf[, num_matches_thresh1[, num_matches_thresh2]]]]]) -> <detail_BestOf2NearestRangeMatcher object>
##### Keyword Arguments
- range_width:
int
. - try_use_gpu:
bool
. - match_conf:
float
. - num_matches_thresh1:
int
. - num_matches_thresh2:
int
.
Python prototype (for reference):
BestOf2NearestRangeMatcher([, range_width[, try_use_gpu[, match_conf[, num_matches_thresh1[, num_matches_thresh2]]]]]) -> <detail_BestOf2NearestRangeMatcher object>
@return True, if it's possible to use the same matcher instance in parallel, false otherwise
Python prototype (for reference):
isThreadSafe() -> retval
Link to this section Functions
Raising version of apply2/2
.
Raising version of apply2/3
.
Raising version of apply/3
.
Raising version of collectGarbage/1
.
Raising version of create/0
.
Raising version of create/1
.
Raising version of detail_BestOf2NearestRangeMatcher/0
.
Raising version of detail_BestOf2NearestRangeMatcher/1
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Raising version of isThreadSafe/1
.