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Improved spelling and syntax 

Signed-off-by: Jim Martens <github@2martens.de>
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Jim Martens 2019-08-05 15:52:32 +02:00
parent d0793ba395
commit 037fa10239
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@ -590,7 +590,7 @@ outlined, followed by the implementation of the auto-encoder.
The source code of many published papers is either not available
or seems like an afterthought: it is poorly documented, difficult
to integrate in your own work, and often does not follow common
to integrate into your own work, and often does not follow common
software development best practices. Moreover, with Tensorflow,
PyTorch, and Caffe there are at least three machine learning
frameworks. Every research team seems to prefer another framework
@ -626,15 +626,16 @@ need to be removed.
For the MS COCO data set, all annotations were checked for
impossible values: bounding box height or width lower than zero,
x1 and y1 bounding box coordinates lower than zero,
x2 and y2 coordinates lower or equal to zero, x1 greater than x2,
x2 and y2 coordinates lower than or equal to zero, x1 greater than x2,
y1 greater than y2, image width lower than x2,
and image height lower than y2. In the last two cases the
bounding box width or height was set to (image with - x1) or (image height - y1)
respectively; in the other cases the annotation was skipped.
bounding box width or height was set to (image with - x1) or
(image height - y1) respectively;
in the other cases the annotation was skipped.
If the bounding box width or height afterwards is
lower or equal to zero the annotation is skipped.
lower than or equal to zero the annotation is skipped.
In this thesis SceneNet RGB-D is always used with COCO classes.
In this thesis, SceneNet RGB-D is always used with COCO classes.
Therefore, a mapping between COCO and SceneNet RGB-D and vice versa
was necessary. It was created my manually going through each
Wordnet ID and searching for a fitting COCO class.