Floating point exception (core dumped)

[rg]

ORB-SLAM2 Copyright (C) 2014-2016 Raul Mur-Artal, University of Zaragoza.
This program comes with ABSOLUTELY NO WARRANTY;
This is free software, and you are welcome to redistribute it
under certain conditions. See LICENSE.txt.

Input sensor was set to: RGB-D

Loading ORB Vocabulary. This could take a while...
Vocabulary loaded in 0.25s

Camera Parameters:

• fx: 517.306
• fy: 516.469
• cx: 318.643
• cy: 255.314
• k1: 0.262383
• k2: -0.953104
• k3: 1.16331
• p1: -0.005358
• p2: 0.002628
• fps: 30
• color order: RGB (ignored if grayscale)

ORB Extractor Parameters:

• Number of Features: 1000
• Scale Levels: 8
• Scale Factor: 1.2
• Initial Fast Threshold: 20
• Minimum Fast Threshold: 7

Depth Threshold (Close/Far Points): 3.09294

---

Start processing sequence ...
Images in the sequence: 792

New map created with 834 points
GLib-GIO-Message: 15:48:18.827: Using the 'memory' GSettings backend. Your settings will not be saved or shared with other applications.
receive a keyframe, id = 1
receive a keyframe, id = 2
receive a keyframe, id = 3
receive a keyframe, id = 4
receive a keyframe, id = 5
receive a keyframe, id = 6
receive a keyframe, id = 7
receive a keyframe, id = 8
receive a keyframe, id = 9
receive a keyframe, id = 10
receive a keyframe, id = 11
receive a keyframe, id = 12
receive a keyframe, id = 13
receive a keyframe, id = 14
receive a keyframe, id = 15
receive a keyframe, id = 16
receive a keyframe, id = 17
receive a keyframe, id = 18
receive a keyframe, id = 19
receive a keyframe, id = 20
receive a keyframe, id = 21
receive a keyframe, id = 22
receive a keyframe, id = 23
Floating point exception (core dumped)

这个浮点错误怎么办...

更新一下setup:
75架构的GPU必须用CUDA10,大部分的cuda问题segment可能都是CUDA版本和算力那的变量定的不对造成的,我用的CUDA10, YOLOV3那边已经编译的没有问题了.

[rg]

ORB-SLAM2 Copyright (C) 2014-2016 Raul Mur-Artal, University of Zaragoza.
This program comes with ABSOLUTELY NO WARRANTY;
This is free software, and you are welcome to redistribute it
under certain conditions. See LICENSE.txt.

Input sensor was set to: RGB-D

Loading ORB Vocabulary. This could take a while...
Vocabulary loaded in 0.25s

Camera Parameters:

• fx: 517.306
• fy: 516.469
• cx: 318.643
• cy: 255.314
• k1: 0.262383
• k2: -0.953104
• k3: 1.16331
• p1: -0.005358
• p2: 0.002628
• fps: 30
• color order: RGB (ignored if grayscale)

ORB Extractor Parameters:

• Number of Features: 1000
• Scale Levels: 8
• Scale Factor: 1.2
• Initial Fast Threshold: 20
• Minimum Fast Threshold: 7

Depth Threshold (Close/Far Points): 3.09294

Start processing sequence ...
Images in the sequence: 792

New map created with 834 points
GLib-GIO-Message: 15:48:18.827: Using the 'memory' GSettings backend. Your settings will not be saved or shared with other applications.
receive a keyframe, id = 1
receive a keyframe, id = 2
receive a keyframe, id = 3
receive a keyframe, id = 4
receive a keyframe, id = 5
receive a keyframe, id = 6
receive a keyframe, id = 7
receive a keyframe, id = 8
receive a keyframe, id = 9
receive a keyframe, id = 10
receive a keyframe, id = 11
receive a keyframe, id = 12
receive a keyframe, id = 13
receive a keyframe, id = 14
receive a keyframe, id = 15
receive a keyframe, id = 16
receive a keyframe, id = 17
receive a keyframe, id = 18
receive a keyframe, id = 19
receive a keyframe, id = 20
receive a keyframe, id = 21
receive a keyframe, id = 22
receive a keyframe, id = 23
Floating point exception (core dumped)

这个浮点错误怎么办...

更新一下setup:
75架构的GPU必须用CUDA10,大部分的cuda问题segment可能都是CUDA版本和算力那的变量定的不对造成的,我用的CUDA10, YOLOV3那边已经编译的没有问题了.

I solved because the wrong place of img folder, now I can run at any CUDA and CUDNN version which YOLO v3 is supported