Darknet error: realloc(): invalid pointer Aborted (core dumped) The 2019 Stack Overflow Developer Survey Results Are InYolo darknet : Error from Reading the CV::Mat data into dataOpenCV 4.x+ requires enabled C++11 support compilation darknet fatal errorMake Error 127 -( obj/convolutioanl_kernels.o) while compiling Yolo (Darknet) with GPU=1Configuration YOLO for one object - 2 imagesC++ darknet cygwin_exception::open_stackdumpfile: Dumping stack trace to darknet.exe.stackdumpAdamOptimizer returns invalid datatype errordarknet training - after about 20,000 iterations it keeps returning nanCUDA Error: out of memory darknet: ./src/cuda.c:36: check_error: Assertion `0' failed. on Google coraboratoryWhile Yolo darknet training, several images cannot loaded error(?)Darknet- Segmentation fault (core dumped)
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Darknet error: realloc(): invalid pointer Aborted (core dumped)
The 2019 Stack Overflow Developer Survey Results Are InYolo darknet : Error from Reading the CV::Mat data into dataOpenCV 4.x+ requires enabled C++11 support compilation darknet fatal errorMake Error 127 -( obj/convolutioanl_kernels.o) while compiling Yolo (Darknet) with GPU=1Configuration YOLO for one object - 2 imagesC++ darknet cygwin_exception::open_stackdumpfile: Dumping stack trace to darknet.exe.stackdumpAdamOptimizer returns invalid datatype errordarknet training - after about 20,000 iterations it keeps returning nanCUDA Error: out of memory darknet: ./src/cuda.c:36: check_error: Assertion `0' failed. on Google coraboratoryWhile Yolo darknet training, several images cannot loaded error(?)Darknet- Segmentation fault (core dumped)
.everyoneloves__top-leaderboard:empty,.everyoneloves__mid-leaderboard:empty,.everyoneloves__bot-mid-leaderboard:empty height:90px;width:728px;box-sizing:border-box;
I'm trying to do object detection using YOLOv2 on my custom dataset. During training, after some iterations, the following error occurs:-
107: nan, nan avg loss, 0.001000 rate, 37.167214 seconds, 2568 images
Loaded: 0.000041 seconds
Region Avg IOU: nan, Class: -nan, Obj: nan, No Obj: nan, Avg Recall: 0.000000, count: 5
Region Avg IOU: nan, Class: -nan, Obj: nan, No Obj: nan, Avg Recall: 0.000000, count: 3
Region Avg IOU: nan, Class: -nan, Obj: nan, No Obj: nan, Avg Recall: 0.000000, count: 8
Region Avg IOU: nan, Class: -nan, Obj: nan, No Obj: nan, Avg Recall: 0.000000, count: 3
Region Avg IOU: nan, Class: -nan, Obj: nan, No Obj: nan, Avg Recall: 0.000000, count: 3
Region Avg IOU: nan, Class: -nan, Obj: nan, No Obj: nan, Avg Recall: 0.000000, count: 3
Region Avg IOU: nan, Class: -nan, Obj: nan, No Obj: nan, Avg Recall: 0.000000, count: 5
Region Avg IOU: nan, Class: -nan, Obj: nan, No Obj: nan, Avg Recall: 0.000000, count: 8
108: nan, nan avg loss, 0.001000 rate, 37.272245 seconds, 2592 images
Loaded: 0.000044 seconds
Region Avg IOU: nan, Class: -nan, Obj: nan, No Obj: nan, Avg Recall: 0.000000, count: 3
Region Avg IOU: nan, Class: -nan, Obj: nan, No Obj: nan, Avg Recall: 0.000000, count: 3
Region Avg IOU: nan, Class: -nan, Obj: nan, No Obj: nan, Avg Recall: 0.000000, count: 3
Region Avg IOU: nan, Class: -nan, Obj: nan, No Obj: nan, Avg Recall: 0.000000, count: 3
Region Avg IOU: nan, Class: -nan, Obj: nan, No Obj: nan, Avg Recall: 0.000000, count: 4
Region Avg IOU: nan, Class: -nan, Obj: nan, No Obj: nan, Avg Recall: 0.000000, count: 8
Region Avg IOU: nan, Class: -nan, Obj: nan, No Obj: nan, Avg Recall: 0.000000, count: 3
Region Avg IOU: nan, Class: -nan, Obj: nan, No Obj: nan, Avg Recall: 0.000000, count: 3
109: nan, nan avg loss, 0.001000 rate, 37.310372 seconds, 2616 images
Loaded: 0.000039 seconds
Region Avg IOU: nan, Class: -nan, Obj: nan, No Obj: nan, Avg Recall: 0.000000, count: 10
Region Avg IOU: nan, Class: -nan, Obj: nan, No Obj: nan, Avg Recall: 0.000000, count: 3
Region Avg IOU: nan, Class: -nan, Obj: nan, No Obj: nan, Avg Recall: 0.000000, count: 6
Region Avg IOU: nan, Class: -nan, Obj: nan, No Obj: nan, Avg Recall: 0.000000, count: 7
Region Avg IOU: nan, Class: -nan, Obj: nan, No Obj: nan, Avg Recall: 0.000000, count: 5
Region Avg IOU: nan, Class: -nan, Obj: nan, No Obj: nan, Avg Recall: 0.000000, count: 3
Region Avg IOU: nan, Class: -nan, Obj: nan, No Obj: nan, Avg Recall: 0.000000, count: 3
Region Avg IOU: nan, Class: -nan, Obj: nan, No Obj: nan, Avg Recall: 0.000000, count: 9
110: nan, nan avg loss, 0.001000 rate, 37.202391 seconds, 2640 images
Resizing
352 x 352
realloc(): invalid pointer
Aborted (core dumped)
Why is this error occuring? I have created my own dataset(different size). Is it because of some problem with the dataset?
conv-neural-network object-detection yolo
asked Mar 8 at 9:54
Ashna EldhoAshna Eldho
395
add a comment |
I'm trying to do object detection using YOLOv2 on my custom dataset. During training, after some iterations, the following error occurs:-
107: nan, nan avg loss, 0.001000 rate, 37.167214 seconds, 2568 images
Loaded: 0.000041 seconds
Region Avg IOU: nan, Class: -nan, Obj: nan, No Obj: nan, Avg Recall: 0.000000, count: 5
Region Avg IOU: nan, Class: -nan, Obj: nan, No Obj: nan, Avg Recall: 0.000000, count: 3
Region Avg IOU: nan, Class: -nan, Obj: nan, No Obj: nan, Avg Recall: 0.000000, count: 8
Region Avg IOU: nan, Class: -nan, Obj: nan, No Obj: nan, Avg Recall: 0.000000, count: 3
Region Avg IOU: nan, Class: -nan, Obj: nan, No Obj: nan, Avg Recall: 0.000000, count: 3
Region Avg IOU: nan, Class: -nan, Obj: nan, No Obj: nan, Avg Recall: 0.000000, count: 3
Region Avg IOU: nan, Class: -nan, Obj: nan, No Obj: nan, Avg Recall: 0.000000, count: 5
Region Avg IOU: nan, Class: -nan, Obj: nan, No Obj: nan, Avg Recall: 0.000000, count: 8
108: nan, nan avg loss, 0.001000 rate, 37.272245 seconds, 2592 images
Loaded: 0.000044 seconds
Region Avg IOU: nan, Class: -nan, Obj: nan, No Obj: nan, Avg Recall: 0.000000, count: 3
Region Avg IOU: nan, Class: -nan, Obj: nan, No Obj: nan, Avg Recall: 0.000000, count: 3
Region Avg IOU: nan, Class: -nan, Obj: nan, No Obj: nan, Avg Recall: 0.000000, count: 3
Region Avg IOU: nan, Class: -nan, Obj: nan, No Obj: nan, Avg Recall: 0.000000, count: 3
Region Avg IOU: nan, Class: -nan, Obj: nan, No Obj: nan, Avg Recall: 0.000000, count: 4
Region Avg IOU: nan, Class: -nan, Obj: nan, No Obj: nan, Avg Recall: 0.000000, count: 8
Region Avg IOU: nan, Class: -nan, Obj: nan, No Obj: nan, Avg Recall: 0.000000, count: 3
Region Avg IOU: nan, Class: -nan, Obj: nan, No Obj: nan, Avg Recall: 0.000000, count: 3
109: nan, nan avg loss, 0.001000 rate, 37.310372 seconds, 2616 images
Loaded: 0.000039 seconds
Region Avg IOU: nan, Class: -nan, Obj: nan, No Obj: nan, Avg Recall: 0.000000, count: 10
Region Avg IOU: nan, Class: -nan, Obj: nan, No Obj: nan, Avg Recall: 0.000000, count: 3
Region Avg IOU: nan, Class: -nan, Obj: nan, No Obj: nan, Avg Recall: 0.000000, count: 6
Region Avg IOU: nan, Class: -nan, Obj: nan, No Obj: nan, Avg Recall: 0.000000, count: 7
Region Avg IOU: nan, Class: -nan, Obj: nan, No Obj: nan, Avg Recall: 0.000000, count: 5
Region Avg IOU: nan, Class: -nan, Obj: nan, No Obj: nan, Avg Recall: 0.000000, count: 3
Region Avg IOU: nan, Class: -nan, Obj: nan, No Obj: nan, Avg Recall: 0.000000, count: 3
Region Avg IOU: nan, Class: -nan, Obj: nan, No Obj: nan, Avg Recall: 0.000000, count: 9
110: nan, nan avg loss, 0.001000 rate, 37.202391 seconds, 2640 images
Resizing
352 x 352
realloc(): invalid pointer
Aborted (core dumped)
Why is this error occuring? I have created my own dataset(different size). Is it because of some problem with the dataset?
conv-neural-network object-detection yolo
asked Mar 8 at 9:54
Ashna EldhoAshna Eldho
395
add a comment |
I'm trying to do object detection using YOLOv2 on my custom dataset. During training, after some iterations, the following error occurs:-
107: nan, nan avg loss, 0.001000 rate, 37.167214 seconds, 2568 images
Loaded: 0.000041 seconds
Region Avg IOU: nan, Class: -nan, Obj: nan, No Obj: nan, Avg Recall: 0.000000, count: 5
Region Avg IOU: nan, Class: -nan, Obj: nan, No Obj: nan, Avg Recall: 0.000000, count: 3
Region Avg IOU: nan, Class: -nan, Obj: nan, No Obj: nan, Avg Recall: 0.000000, count: 8
Region Avg IOU: nan, Class: -nan, Obj: nan, No Obj: nan, Avg Recall: 0.000000, count: 3
Region Avg IOU: nan, Class: -nan, Obj: nan, No Obj: nan, Avg Recall: 0.000000, count: 3
Region Avg IOU: nan, Class: -nan, Obj: nan, No Obj: nan, Avg Recall: 0.000000, count: 3
Region Avg IOU: nan, Class: -nan, Obj: nan, No Obj: nan, Avg Recall: 0.000000, count: 5
Region Avg IOU: nan, Class: -nan, Obj: nan, No Obj: nan, Avg Recall: 0.000000, count: 8
108: nan, nan avg loss, 0.001000 rate, 37.272245 seconds, 2592 images
Loaded: 0.000044 seconds
Region Avg IOU: nan, Class: -nan, Obj: nan, No Obj: nan, Avg Recall: 0.000000, count: 3
Region Avg IOU: nan, Class: -nan, Obj: nan, No Obj: nan, Avg Recall: 0.000000, count: 3
Region Avg IOU: nan, Class: -nan, Obj: nan, No Obj: nan, Avg Recall: 0.000000, count: 3
Region Avg IOU: nan, Class: -nan, Obj: nan, No Obj: nan, Avg Recall: 0.000000, count: 3
Region Avg IOU: nan, Class: -nan, Obj: nan, No Obj: nan, Avg Recall: 0.000000, count: 4
Region Avg IOU: nan, Class: -nan, Obj: nan, No Obj: nan, Avg Recall: 0.000000, count: 8
Region Avg IOU: nan, Class: -nan, Obj: nan, No Obj: nan, Avg Recall: 0.000000, count: 3
Region Avg IOU: nan, Class: -nan, Obj: nan, No Obj: nan, Avg Recall: 0.000000, count: 3
109: nan, nan avg loss, 0.001000 rate, 37.310372 seconds, 2616 images
Loaded: 0.000039 seconds
Region Avg IOU: nan, Class: -nan, Obj: nan, No Obj: nan, Avg Recall: 0.000000, count: 10
Region Avg IOU: nan, Class: -nan, Obj: nan, No Obj: nan, Avg Recall: 0.000000, count: 3
Region Avg IOU: nan, Class: -nan, Obj: nan, No Obj: nan, Avg Recall: 0.000000, count: 6
Region Avg IOU: nan, Class: -nan, Obj: nan, No Obj: nan, Avg Recall: 0.000000, count: 7
Region Avg IOU: nan, Class: -nan, Obj: nan, No Obj: nan, Avg Recall: 0.000000, count: 5
Region Avg IOU: nan, Class: -nan, Obj: nan, No Obj: nan, Avg Recall: 0.000000, count: 3
Region Avg IOU: nan, Class: -nan, Obj: nan, No Obj: nan, Avg Recall: 0.000000, count: 3
Region Avg IOU: nan, Class: -nan, Obj: nan, No Obj: nan, Avg Recall: 0.000000, count: 9
110: nan, nan avg loss, 0.001000 rate, 37.202391 seconds, 2640 images
Resizing
352 x 352
realloc(): invalid pointer
Aborted (core dumped)
Why is this error occuring? I have created my own dataset(different size). Is it because of some problem with the dataset?
conv-neural-network object-detection yolo
asked Mar 8 at 9:54
Ashna EldhoAshna Eldho
395
I'm trying to do object detection using YOLOv2 on my custom dataset. During training, after some iterations, the following error occurs:-
107: nan, nan avg loss, 0.001000 rate, 37.167214 seconds, 2568 images
Loaded: 0.000041 seconds
Region Avg IOU: nan, Class: -nan, Obj: nan, No Obj: nan, Avg Recall: 0.000000, count: 5
Region Avg IOU: nan, Class: -nan, Obj: nan, No Obj: nan, Avg Recall: 0.000000, count: 3
Region Avg IOU: nan, Class: -nan, Obj: nan, No Obj: nan, Avg Recall: 0.000000, count: 8
Region Avg IOU: nan, Class: -nan, Obj: nan, No Obj: nan, Avg Recall: 0.000000, count: 3
Region Avg IOU: nan, Class: -nan, Obj: nan, No Obj: nan, Avg Recall: 0.000000, count: 3
Region Avg IOU: nan, Class: -nan, Obj: nan, No Obj: nan, Avg Recall: 0.000000, count: 3
Region Avg IOU: nan, Class: -nan, Obj: nan, No Obj: nan, Avg Recall: 0.000000, count: 5
Region Avg IOU: nan, Class: -nan, Obj: nan, No Obj: nan, Avg Recall: 0.000000, count: 8
108: nan, nan avg loss, 0.001000 rate, 37.272245 seconds, 2592 images
Loaded: 0.000044 seconds
Region Avg IOU: nan, Class: -nan, Obj: nan, No Obj: nan, Avg Recall: 0.000000, count: 3
Region Avg IOU: nan, Class: -nan, Obj: nan, No Obj: nan, Avg Recall: 0.000000, count: 3
Region Avg IOU: nan, Class: -nan, Obj: nan, No Obj: nan, Avg Recall: 0.000000, count: 3
Region Avg IOU: nan, Class: -nan, Obj: nan, No Obj: nan, Avg Recall: 0.000000, count: 3
Region Avg IOU: nan, Class: -nan, Obj: nan, No Obj: nan, Avg Recall: 0.000000, count: 4
Region Avg IOU: nan, Class: -nan, Obj: nan, No Obj: nan, Avg Recall: 0.000000, count: 8
Region Avg IOU: nan, Class: -nan, Obj: nan, No Obj: nan, Avg Recall: 0.000000, count: 3
Region Avg IOU: nan, Class: -nan, Obj: nan, No Obj: nan, Avg Recall: 0.000000, count: 3
109: nan, nan avg loss, 0.001000 rate, 37.310372 seconds, 2616 images
Loaded: 0.000039 seconds
Region Avg IOU: nan, Class: -nan, Obj: nan, No Obj: nan, Avg Recall: 0.000000, count: 10
Region Avg IOU: nan, Class: -nan, Obj: nan, No Obj: nan, Avg Recall: 0.000000, count: 3
Region Avg IOU: nan, Class: -nan, Obj: nan, No Obj: nan, Avg Recall: 0.000000, count: 6
Region Avg IOU: nan, Class: -nan, Obj: nan, No Obj: nan, Avg Recall: 0.000000, count: 7
Region Avg IOU: nan, Class: -nan, Obj: nan, No Obj: nan, Avg Recall: 0.000000, count: 5
Region Avg IOU: nan, Class: -nan, Obj: nan, No Obj: nan, Avg Recall: 0.000000, count: 3
Region Avg IOU: nan, Class: -nan, Obj: nan, No Obj: nan, Avg Recall: 0.000000, count: 3
Region Avg IOU: nan, Class: -nan, Obj: nan, No Obj: nan, Avg Recall: 0.000000, count: 9
110: nan, nan avg loss, 0.001000 rate, 37.202391 seconds, 2640 images
Resizing
352 x 352
realloc(): invalid pointer
Aborted (core dumped)
Why is this error occuring? I have created my own dataset(different size). Is it because of some problem with the dataset?
conv-neural-network object-detection yolo
conv-neural-network object-detection yolo
asked Mar 8 at 9:54
Ashna EldhoAshna Eldho
395
asked Mar 8 at 9:54
Ashna EldhoAshna Eldho
395
asked Mar 8 at 9:54
Ashna EldhoAshna Eldho
395
asked Mar 8 at 9:54
Ashna EldhoAshna Eldho
395
asked Mar 8 at 9:54
Ashna EldhoAshna Eldho
395
395
add a comment |
add a comment |
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