on pi4 cannot get prediction result using custom training weights

[yanlusu]

step1. train custom weights on macOS using origin darknet source code(alexAB's version tried, the same as this); step2. test some images using custom weights on macOS, it's OK; step3. compile darknet-nnpack on pi4; step4. on pi4, using yolov3-tiny.weights is ok; step5. on pi4, using custom weights , I cannot get any output except some messages

pi@raspberrypi:~/pt3t/Captcha/darknet-nnpack $ ./darknet detector test tiny_captcha/yolo.data tiny_captcha/yolov3-tiny.cfg tiny_captcha/backup/yolov3-tiny_900.weights tiny_captcha/samples/00000.png
layer     filters    size              input                output
    0 conv     16  3 x 3 / 1   384 x 384 x   3   ->   384 x 384 x  16  0.127 BFLOPs
    1 max          2 x 2 / 2   384 x 384 x  16   ->   192 x 192 x  16
    2 conv     32  3 x 3 / 1   192 x 192 x  16   ->   192 x 192 x  32  0.340 BFLOPs
    3 max          2 x 2 / 2   192 x 192 x  32   ->    96 x  96 x  32
    4 conv     64  3 x 3 / 1    96 x  96 x  32   ->    96 x  96 x  64  0.340 BFLOPs
    5 max          2 x 2 / 2    96 x  96 x  64   ->    48 x  48 x  64
    6 conv    128  3 x 3 / 1    48 x  48 x  64   ->    48 x  48 x 128  0.340 BFLOPs
    7 max          2 x 2 / 2    48 x  48 x 128   ->    24 x  24 x 128
    8 conv    256  3 x 3 / 1    24 x  24 x 128   ->    24 x  24 x 256  0.340 BFLOPs
    9 max          2 x 2 / 2    24 x  24 x 256   ->    12 x  12 x 256
   10 conv    512  3 x 3 / 1    12 x  12 x 256   ->    12 x  12 x 512  0.340 BFLOPs
   11 max          2 x 2 / 1    12 x  12 x 512   ->    12 x  12 x 512
   12 conv   1024  3 x 3 / 1    12 x  12 x 512   ->    12 x  12 x1024  1.359 BFLOPs
   13 conv    256  1 x 1 / 1    12 x  12 x1024   ->    12 x  12 x 256  0.075 BFLOPs
   14 conv    512  3 x 3 / 1    12 x  12 x 256   ->    12 x  12 x 512  0.340 BFLOPs
   15 conv    123  1 x 1 / 1    12 x  12 x 512   ->    12 x  12 x 123  0.018 BFLOPs
   16 yolo
   17 route  13
   18 conv    128  1 x 1 / 1    12 x  12 x 256   ->    12 x  12 x 128  0.009 BFLOPs
   19 upsample            2x    12 x  12 x 128   ->    24 x  24 x 128
   20 route  19 8
   21 conv    256  3 x 3 / 1    24 x  24 x 384   ->    24 x  24 x 256  1.019 BFLOPs
   22 conv    123  1 x 1 / 1    24 x  24 x 256   ->    24 x  24 x 123  0.036 BFLOPs
   23 yolo
Loading weights from tiny_captcha/backup/yolov3-tiny_900.weights...Done!
tiny_captcha/samples/00000.png: Predicted in 0.554214 seconds.

[yanlusu]

ok, i got it. darknet of AlexyAB's version is not working. but origin darknet training weight is working now after 20000 turns training.