aa-samad / lp_recognition Goto Github PK

from below code:

how resolve it?

`def find_corners(poly):
if len(poly) <= 4:
return poly
box = []
box.append(poly[0])

if float(poly[0][1]) - float(poly[1][1]) == 0:
    prev_slope = (float(poly[1][1]) - float(poly[0][1])) * 1000
else:
    prev_slope = (float(poly[1][1]) - float(poly[0][1])) / (float(poly[1][0]) - float(poly[0][0]))

for i in range(1, len(poly)):
    if float(poly[i - 1][1]) - float(poly[i][1]) == 0:
        slope = (float(poly[i][1]) - float(poly[i - 1][1])) * 1000
    else:
        slope = (float(poly[i][1]) - float(poly[i - 1][1])) / (float(poly[i][0]) - float(poly[i - 1][0]))
    if abs(prev_slope - slope) > 2:
        box.append(poly[i - 1])
    prev_slope = slope

box.append(poly[-1])
return np.array(box)`

The link to download the dataset has not yet been made public.

Hi! Sorry for the cross post. I am wondering if you are able to release the code for

SRVIO: Super Robust Visual Inertial Odometry for Dynamic Environments

In your other repo.

Thanks!

Hi,
i got error like below after process 5 images in module 2
RuntimeError: CUDA out of memory. Tried to allocate 12.50 MiB (GPU 0; 10.92 GiB total capacity; 8.57 MiB already allocated; 9.28 GiB free; 4.68 MiB cached) i know this may relay to my gpu version but on nvidia geforce gtx 1560 corei7 16 gig RAM
it just process 22 images and then error runtime show up again.
also that 5 image that have been processed doesn't have outputs for seg or char , etc ...