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HaroldSP / Harold

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Segmentation Fault when running Step 4 #2

Closed aidamanzano closed 4 years ago

aidamanzano commented 4 years ago

Hi thank you so much for your wiki, it is very helpful and comprehensive, I have struggled quite a bit to build nnpack and darknet-nnpack on the raspberry pi, but finally managed to with your tutorial. I'm on step 4 to test darknet and I've downloaded the weights but when I run ./darknet detector test cfg/coco.data cfg/yolov3-tiny.cfg yolov3-tiny.weights data/dog.jpg I get the following output:

layer filters size input output 0 conv 16 3 x 3 / 1 416 x 416 x 3 -> 416 x 416 x 16 0.150 BFLOPs 1 max 2 x 2 / 2 416 x 416 x 16 -> 208 x 208 x 16 2 conv 32 3 x 3 / 1 208 x 208 x 16 -> 208 x 208 x 32 0.399 BFLOPs 3 max 2 x 2 / 2 208 x 208 x 32 -> 104 x 104 x 32 4 conv 64 3 x 3 / 1 104 x 104 x 32 -> 104 x 104 x 64 0.399 BFLOPs 5 max 2 x 2 / 2 104 x 104 x 64 -> 52 x 52 x 64 6 conv 128 3 x 3 / 1 52 x 52 x 64 -> 52 x 52 x 128 0.399 BFLOPs 7 max 2 x 2 / 2 52 x 52 x 128 -> 26 x 26 x 128 8 conv 256 3 x 3 / 1 26 x 26 x 128 -> 26 x 26 x 256 0.399 BFLOPs 9 max 2 x 2 / 2 26 x 26 x 256 -> 13 x 13 x 256 10 conv 512 3 x 3 / 1 13 x 13 x 256 -> 13 x 13 x 512 0.399 BFLOPs 11 max 2 x 2 / 1 13 x 13 x 512 -> 13 x 13 x 512 12 conv 1024 3 x 3 / 1 13 x 13 x 512 -> 13 x 13 x1024 1.595 BFLOPs 13 conv 256 1 x 1 / 1 13 x 13 x1024 -> 13 x 13 x 256 0.089 BFLOPs 14 conv 512 3 x 3 / 1 13 x 13 x 256 -> 13 x 13 x 512 0.399 BFLOPs 15 conv 255 1 x 1 / 1 13 x 13 x 512 -> 13 x 13 x 255 0.044 BFLOPs 16 detection 17 route 13 18 conv 128 1 x 1 / 1 13 x 13 x 256 -> 13 x 13 x 128 0.011 BFLOPs 19 upsample 2x 13 x 13 x 128 -> 26 x 26 x 128 20 route 19 8 21 conv 256 3 x 3 / 1 26 x 26 x 384 -> 26 x 26 x 256 1.196 BFLOPs 22 conv 255 1 x 1 / 1 26 x 26 x 256 -> 26 x 26 x 255 0.088 BFLOPs 23 detection Loading weights from yolov3-tiny.weights... (Version 2) Done! Segmentation fault And I don't see any output of the prediction, is this expected? where do I find the results?

HaroldSP commented 4 years ago

Hi!

I was facing the same issue at some time, unfortunately, I am working on some other project at the time.

Last time that line helped me:

cmake -G Ninja -DBUILD_SHARED_LIBS=on-DCMAKE_C_FLAGS=-march=armv6k ..

You should choose the right configuration.

aidamanzano commented 4 years ago

Hi! I stumbled across this issue and the problem was the NNPACK version I was using, for me darknet-nnpack worked with this version:https://github.com/shizukachan/NNPACK and not the original. The solution here (which is partially the one you give too!) worked for me perfectly!