You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
Darknet v2.0-108-g4eaec0f7
CUDA runtime version 12030 (v12.3), driver version 12030 (v12.3)
cuDNN version 12020 (v8.9.7), use of half-size floats is ENABLED
=> 0: NVIDIA Graphics Device [#8.9], 15.7 GiB
OpenCV v4.9.0
Works but adding -map at the end causes segmentation fault. This however does not happen with:
yolov4 tiny
yolov7x
Both work with -map and without.
I am using cfg from the repo adjusted to my dataset according to guidelines. My dataset consists roughly of 500 training set and 100 validation set. Later for inference yolov4-tiny and yolov7x work fine. Only somehow that yolov4 causes issues.
If I can help here or anything let me know. Thanks for looking into it
Following the recent cleanup in free_layer_custom(), we're now seeing a segfault while training a network. Reported by CrazyBoris on discord:
The text was updated successfully, but these errors were encountered: