| dilateKernel |
array |
np.ones((4,4)) |
Dilation kernel |
| contoursMode |
CV2 const |
cv2.RETR_LIST |
All edges returned, see OpenCV
of findContours for details. |
| contoursMethod |
CV2 const |
cv2.CHAIN_
APPROX_NONE |
All edge points returned, see
OpenCV of findContours |
| minAreaRectMinlen |
int |
1 |
Once contours have been found
minimal area rectangles are fitted.
Length of sides are determined. If
determined. If either side is
shorter than this value, in pixels,
the detection is dismissed. |
| lwTresh |
int |
5 |
ratio that longer/shorter rectangle
side has to satisfy to be
considered a possibly valid
detection |
| houghMethod |
int |
20 |
Min number of votes required in
Hough space to be considered a
valid line |
| nlinesInSet |
int |
3 |
Hough transform returns a list of
all possible lines. Only
nlinesInSet top voted for lines are
taken into consideration for futher
checks. This is called a “set” of
lines. There are 2 sets in total. |
| thetaTresh |
float |
0.15 |
if within a single set the dispe-
rsion of maximal-minimal theta is
larger than thetaTresh, detection
is dismissed as False. In radians |
| linesetTresh |
float |
0.15 |
if both line sets pass thetaTresh,
but their respective average thetas
are larger than this, detection is
dismissed. In radians. |
| dro |
int |
25 |
if r averages of both Hough line
sets are larger than dro then
detection is dismissed as false. |
| debug |
bool |
False |
see above. |