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Some mist. typo fixes

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Found via `codespell -i 3 -w --skip="./3rdparty" -I ../opencv-whitelist.txt`
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luz.paz
2018-02-07 06:59:15 -05:00
parent f77f2876ff
commit 413fba14ab
16 changed files with 36 additions and 36 deletions
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6
data/haarcascades/haarcascade_fullbody.xml
View File

@@ -118,14 +118,14 @@ www.vision.ethz.ch/kruppa/
KNOWN LIMITATIONS
==================
1) the detectors only support frontal and back views but not sideviews.
1) The detectors only support frontal and back views but not sideviews.
Sideviews are trickier and it makes a lot of sense to include additional
modalities for their detection, e.g. motion information. I recommend
Viola and Jones' ICCV 2003 paper if this further interests you.
2) dont expect these detectors to be as accurate as a frontal face detector.
2) Don't expect these detectors to be as accurate as a frontal face detector.
A frontal face as a pattern is pretty distinct with respect to other
patterns occuring in the world (i.e. image "background"). This is not so
patterns occurring in the world (i.e. image "background"). This is not so
for upper, lower and especially full bodies, because they have to rely
on fragile silhouette information rather than internal (facial) features.
Still, we found especially the upper body detector to perform amazingly well.

6
data/haarcascades/haarcascade_lowerbody.xml
View File

@@ -118,14 +118,14 @@ www.vision.ethz.ch/kruppa/
KNOWN LIMITATIONS
==================
1) the detectors only support frontal and back views but not sideviews.
1) The detectors only support frontal and back views but not sideviews.
Sideviews are trickier and it makes a lot of sense to include additional
modalities for their detection, e.g. motion information. I recommend
Viola and Jones' ICCV 2003 paper if this further interests you.
2) dont expect these detectors to be as accurate as a frontal face detector.
2) Don't expect these detectors to be as accurate as a frontal face detector.
A frontal face as a pattern is pretty distinct with respect to other
patterns occuring in the world (i.e. image "background"). This is not so
patterns occurring in the world (i.e. image "background"). This is not so
for upper, lower and especially full bodies, because they have to rely
on fragile silhouette information rather than internal (facial) features.
Still, we found especially the upper body detector to perform amazingly well.

6
data/haarcascades/haarcascade_upperbody.xml
View File

@@ -118,14 +118,14 @@ www.vision.ethz.ch/kruppa/
KNOWN LIMITATIONS
==================
1) the detectors only support frontal and back views but not sideviews.
1) The detectors only support frontal and back views but not sideviews.
Sideviews are trickier and it makes a lot of sense to include additional
modalities for their detection, e.g. motion information. I recommend
Viola and Jones' ICCV 2003 paper if this further interests you.
2) dont expect these detectors to be as accurate as a frontal face detector.
2) Don't expect these detectors to be as accurate as a frontal face detector.
A frontal face as a pattern is pretty distinct with respect to other
patterns occuring in the world (i.e. image "background"). This is not so
patterns occurring in the world (i.e. image "background"). This is not so
for upper, lower and especially full bodies, because they have to rely
on fragile silhouette information rather than internal (facial) features.
Still, we found especially the upper body detector to perform amazingly well.

6
data/haarcascades_cuda/haarcascade_fullbody.xml
View File

@@ -118,14 +118,14 @@ www.vision.ethz.ch/kruppa/
KNOWN LIMITATIONS
==================
1) the detectors only support frontal and back views but not sideviews.
1) The detectors only support frontal and back views but not sideviews.
Sideviews are trickier and it makes a lot of sense to include additional
modalities for their detection, e.g. motion information. I recommend
Viola and Jones' ICCV 2003 paper if this further interests you.
2) dont expect these detectors to be as accurate as a frontal face detector.
2) Don't expect these detectors to be as accurate as a frontal face detector.
A frontal face as a pattern is pretty distinct with respect to other
patterns occuring in the world (i.e. image "background"). This is not so
patterns occurring in the world (i.e. image "background"). This is not so
for upper, lower and especially full bodies, because they have to rely
on fragile silhouette information rather than internal (facial) features.
Still, we found especially the upper body detector to perform amazingly well.

6
data/haarcascades_cuda/haarcascade_lowerbody.xml
View File

@@ -118,14 +118,14 @@ www.vision.ethz.ch/kruppa/
KNOWN LIMITATIONS
=================
1) the detectors only support frontal and back views but not sideviews.
1) The detectors only support frontal and back views but not sideviews.
Sideviews are trickier and it makes a lot of sense to include additional
modalities for their detection, e.g. motion information. I recommend
Viola and Jones' ICCV 2003 paper if this further interests you.
2) dont expect these detectors to be as accurate as a frontal face detector.
2) Don't expect these detectors to be as accurate as a frontal face detector.
A frontal face as a pattern is pretty distinct with respect to other
patterns occuring in the world (i.e. image "background"). This is not so
patterns occurring in the world (i.e. image "background"). This is not so
for upper, lower and especially full bodies, because they have to rely
on fragile silhouette information rather than internal (facial) features.
Still, we found especially the upper body detector to perform amazingly well.

6
data/haarcascades_cuda/haarcascade_upperbody.xml
View File

@@ -118,14 +118,14 @@ www.vision.ethz.ch/kruppa/
KNOWN LIMITATIONS
==================
1) the detectors only support frontal and back views but not sideviews.
1) The detectors only support frontal and back views but not sideviews.
Sideviews are trickier and it makes a lot of sense to include additional
modalities for their detection, e.g. motion information. I recommend
Viola and Jones' ICCV 2003 paper if this further interests you.
2) dont expect these detectors to be as accurate as a frontal face detector.
2) Don't expect these detectors to be as accurate as a frontal face detector.
A frontal face as a pattern is pretty distinct with respect to other
patterns occuring in the world (i.e. image "background"). This is not so
patterns occurring in the world (i.e. image "background"). This is not so
for upper, lower and especially full bodies, because they have to rely
on fragile silhouette information rather than internal (facial) features.
Still, we found especially the upper body detector to perform amazingly well.