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Failed! - Not loading ONNX net due to previous import failure. Check earlier log for errors. #23

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adrianmihalko opened this issue Aug 20, 2024 · 0 comments
Open

Failed! - Not loading ONNX net due to previous import failure. Check earlier log for errors. #23

adrianmihalko opened this issue Aug 20, 2024 · 0 comments

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@adrianmihalko
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Hi,

Not working for me, any ideas what can be the problem?

I installed as addon in HA.

Failed! - Not loading ONNX net due to previous import failure. Check earlier log for errors.
----- Trying to load weights: /app/lib/../model/model-weights.darknet - use_gpu = False -----
Succeeded!

 seen 64, trained: 1427 K-images (22 Kilo-batches_64) 
Loaded - names_list: /app/model/names, classes = 1 
[2024-08-19 19:10:48 +0200] [105] [INFO] Booting worker with pid: 105
   layer   filters  size/strd(dil)      input                output
   0 conv     32       3 x 3/ 1    416 x 416 x   3 ->  416 x 416 x  32 0.299 BF
   1 max                2x 2/ 2    416 x 416 x  32 ->  208 x 208 x  32 0.006 BF
   2 conv     64       3 x 3/ 1    208 x 208 x  32 ->  208 x 208 x  64 1.595 BF
   3 max                2x 2/ 2    208 x 208 x  64 ->  104 x 104 x  64 0.003 BF
   4 conv    128       3 x 3/ 1    104 x 104 x  64 ->  104 x 104 x 128 1.595 BF
   5 conv     64       1 x 1/ 1    104 x 104 x 128 ->  104 x 104 x  64 0.177 BF
   6 conv    128       3 x 3/ 1    104 x 104 x  64 ->  104 x 104 x 128 1.595 BF
   7 max                2x 2/ 2    104 x 104 x 128 ->   52 x  52 x 128 0.001 BF
   8 conv    256       3 x 3/ 1     52 x  52 x 128 ->   52 x  52 x 256 1.595 BF
   9 conv    128       1 x 1/ 1     52 x  52 x 256 ->   52 x  52 x 128 0.177 BF
  10 conv    256       3 x 3/ 1     52 x  52 x 128 ->   52 x  52 x 256 1.595 BF
  11 max                2x 2/ 2     52 x  52 x 256 ->   26 x  26 x 256 0.001 BF
  12 conv    512       3 x 3/ 1     26 x  26 x 256 ->   26 x  26 x 512 1.595 BF
  13 conv    256       1 x 1/ 1     26 x  26 x 512 ->   26 x  26 x 256 0.177 BF
  14 conv    512       3 x 3/ 1     26 x  26 x 256 ->   26 x  26 x 512 1.595 BF
  15 conv    256       1 x 1/ 1     26 x  26 x 512 ->   26 x  26 x 256 0.177 BF
  16 conv    512       3 x 3/ 1     26 x  26 x 256 ->   26 x  26 x 512 1.595 BF
  17 max                2x 2/ 2     26 x  26 x 512 ->   13 x  13 x 512 0.000 BF
  18 conv   1024       3 x 3/ 1     13 x  13 x 512 ->   13 x  13 x1024 1.595 BF
  19 conv    512       1 x 1/ 1     13 x  13 x1024 ->   13 x  13 x 512 0.177 BF
  20 conv   1024       3 x 3/ 1     13 x  13 x 512 ->   13 x  13 x1024 1.595 BF
  21 conv    512       1 x 1/ 1     13 x  13 x1024 ->   13 x  13 x 512 0.177 BF
  22 conv   1024       3 x 3/ 1     13 x  13 x 512 ->   13 x  13 x1024 1.595 BF
  23 conv   1024       3 x 3/ 1     13 x  13 x1024 ->   13 x  13 x1024 3.190 BF
  24 conv   1024       3 x 3/ 1     13 x  13 x1024 ->   13 x  13 x1024 3.190 BF
  25 route  16 		                           ->   26 x  26 x 512 
  26 conv     64       1 x 1/ 1     26 x  26 x 512 ->   26 x  26 x  64 0.044 BF
  27 reorg                    / 2   26 x  26 x  64 ->   13 x  13 x 256
  28 route  27 24 	                           ->   13 x  13 x1280 
  29 conv   1024       3 x 3/ 1     13 x  13 x1280 ->   13 x  13 x1024 3.987 BF
  30 conv     30       1 x 1/ 1     13 x  13 x1024 ->   13 x  13 x  30 0.010 BF
  31 detection
mask_scale: Using default '1.000000'
Total BFLOPS 29.338 
avg_outputs = 607364 
 Try to load cfg: /app/model/model.cfg, weights: /app/lib/../model/model-weights.darknet, clear = 0 
mini_batch = 1, batch = 8, time_steps = 1, train = 0 
 Try to load weights: /app/lib/../model/model-weights.darknet 
Loading weights from /app/lib/../model/model-weights.darknet...Done! Loaded 32 layers from weights-file 
s6-rc: info: service s6rc-oneshot-runner: starting
s6-rc: info: service s6rc-oneshot-runner successfully started
s6-rc: info: service fix-attrs: starting
s6-rc: info: service fix-attrs successfully started
s6-rc: info: service legacy-cont-init: starting
s6-rc: info: service legacy-cont-init successfully started
s6-rc: info: service legacy-services: starting
services-up: info: copying legacy longrun ha-bambulab-spaghetti-detection (no readiness notification)
s6-rc: info: service legacy-services successfully started
[2024-08-20 21:53:04 +0200] [98] [INFO] Starting gunicorn 19.9.0
[2024-08-20 21:53:04 +0200] [98] [INFO] Listening at: http://0.0.0.0:3333 (98)
[2024-08-20 21:53:04 +0200] [98] [INFO] Using worker: sync
<frozen os>:1031: RuntimeWarning: line buffering (buffering=1) isn't supported in binary mode, the default buffer size will be used
[2024-08-20 21:53:04 +0200] [99] [INFO] Booting worker with pid: 99
   layer   filters  size/strd(dil)      input                output
   0 conv     32       3 x 3/ 1    416 x 416 x   3 ->  416 x 416 x  32 0.299 BF
   1 max                2x 2/ 2    416 x 416 x  32 ->  208 x 208 x  32 0.006 BF
   2 conv     64       3 x 3/ 1    208 x 208 x  32 ->  208 x 208 x  64 1.595 BF
   3 max                2x 2/ 2    208 x 208 x  64 ->  104 x 104 x  64 0.003 BF
   4 conv    128       3 x 3/ 1    104 x 104 x  64 ->  104 x 104 x 128 1.595 BF
   5 conv     64       1 x 1/ 1    104 x 104 x 128 ->  104 x 104 x  64 0.177 BF
   6 conv    128       3 x 3/ 1    104 x 104 x  64 ->  104 x 104 x 128 1.595 BF
   7 max                2x 2/ 2    104 x 104 x 128 ->   52 x  52 x 128 0.001 BF
   8 conv    256       3 x 3/ 1     52 x  52 x 128 ->   52 x  52 x 256 1.595 BF
   9 conv    128       1 x 1/ 1     52 x  52 x 256 ->   52 x  52 x 128 0.177 BF
  10 conv    256       3 x 3/ 1     52 x  52 x 128 ->   52 x  52 x 256 1.595 BF
  11 max                2x 2/ 2     52 x  52 x 256 ->   26 x  26 x 256 0.001 BF
  12 conv    512       3 x 3/ 1     26 x  26 x 256 ->   26 x  26 x 512 1.595 BF
  13 conv    256       1 x 1/ 1     26 x  26 x 512 ->   26 x  26 x 256 0.177 BF
  14 conv    512       3 x 3/ 1     26 x  26 x 256 ->   26 x  26 x 512 1.595 BF
  15 conv    256       1 x 1/ 1     26 x  26 x 512 ->   26 x  26 x 256 0.177 BF
  16 conv    512       3 x 3/ 1     26 x  26 x 256 ->   26 x  26 x 512 1.595 BF
  17 max                2x 2/ 2     26 x  26 x 512 ->   13 x  13 x 512 0.000 BF
  18 conv   1024       3 x 3/ 1     13 x  13 x 512 ->   13 x  13 x1024 1.595 BF
  19 conv    512       1 x 1/ 1     13 x  13 x1024 ->   13 x  13 x 512 0.177 BF
  20 conv   1024       3 x 3/ 1     13 x  13 x 512 ->   13 x  13 x1024 1.595 BF
  21 conv    512       1 x 1/ 1     13 x  13 x1024 ->   13 x  13 x 512 0.177 BF
  22 conv   1024       3 x 3/ 1     13 x  13 x 512 ->   13 x  13 x1024 1.595 BF
  23 conv   1024       3 x 3/ 1     13 x  13 x1024 ->   13 x  13 x1024 3.190 BF
  24 conv   1024       3 x 3/ 1     13 x  13 x1024 ->   13 x  13 x1024 3.190 BF
  25 route  16 		                           ->   26 x  26 x 512 
  26 conv     64       1 x 1/ 1     26 x  26 x 512 ->   26 x  26 x  64 0.044 BF
  27 reorg                    / 2   26 x  26 x  64 ->   13 x  13 x 256
  28 route  27 24 	                           ->   13 x  13 x1280 
  29 conv   1024       3 x 3/ 1     13 x  13 x1280 ->   13 x  13 x1024 3.987 BF
  30 conv     30       1 x 1/ 1     13 x  13 x1024 ->   13 x  13 x  30 0.010 BF
  31 detection
mask_scale: Using default '1.000000'
Total BFLOPS 29.338 
avg_outputs = 607364 
 Try to load cfg: /app/model/model.cfg, weights: /app/lib/../model/model-weights.darknet, clear = 0 
mini_batch = 1, batch = 8, time_steps = 1, train = 0 
 Try to load weights: /app/lib/../model/model-weights.darknet 
Loading weights from /app/lib/../model/model-weights.darknet...Done! Loaded 32 layers from weights-file
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@adrianmihalko