Functions | |
| def | shutdown |
Variables | |
| tuple | points = np.array([(x,y,0) for x,y in zip(xx.ravel(), yy.ravel())]) |
| tuple | points_msg = xyz_array_to_pointcloud2(points, now(), '/table') |
| float | xmax = 0.06501853 |
| float | xmin = 0.79651666 |
| tuple | xs = np.arange(xmin+0.05, xmax, ys[1] - ys[0]) |
| float | ymax = 0.50817382 |
| float | ymin = 0.03261997 |
| tuple | ys = np.linspace(ymin,ymax,3) |
| def training.shutdown | ( | event | ) |
Definition at line 30 of file training.py.
| tuple training::points = np.array([(x,y,0) for x,y in zip(xx.ravel(), yy.ravel())]) |
Definition at line 20 of file training.py.
| tuple training::points_msg = xyz_array_to_pointcloud2(points, now(), '/table') |
Definition at line 21 of file training.py.
| float training::xmax = 0.06501853 |
Definition at line 12 of file training.py.
| float training::xmin = 0.79651666 |
Definition at line 11 of file training.py.
| tuple training::xs = np.arange(xmin+0.05, xmax, ys[1] - ys[0]) |
Definition at line 18 of file training.py.
| float training::ymax = 0.50817382 |
Definition at line 14 of file training.py.
| float training::ymin = 0.03261997 |
Definition at line 13 of file training.py.
| tuple training::ys = np.linspace(ymin,ymax,3) |
Definition at line 17 of file training.py.