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Integration is writing logs every second #28

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Bikestuff opened this issue Nov 5, 2024 · 8 comments
Open

Integration is writing logs every second #28

Bikestuff opened this issue Nov 5, 2024 · 8 comments

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@Bikestuff
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Bikestuff commented Nov 5, 2024

Latest version of this integration is writing logs every second, even no printing is running
home-assistant_bambu_lab_p1_spaghetti_detection_2024-11-05T11-29-21.136Z.log

HA:
Core 2024.10.4
Supervisor 2024.10.3
Operating System 13.2
Frontend 20241002.4

@nberktumer
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Can you check if the Obico ML API Host configured correctly and you can access to it?

@Bikestuff
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How can I test that?
I've stopped, rebuild and started the addon. Perhaps the logs tell someone somewhat:

s6-rc: info: service legacy-services: stopping
s6-rc: info: service legacy-services successfully stopped
s6-rc: info: service legacy-cont-init: stopping
s6-rc: info: service legacy-cont-init successfully stopped
s6-rc: info: service fix-attrs: stopping
s6-rc: info: service fix-attrs successfully stopped
s6-rc: info: service s6rc-oneshot-runner: stopping
s6-rc: info: service s6rc-oneshot-runner successfully stopped
[2024-11-10 18:26:32 +0100] [99] [INFO] Worker exiting (pid: 99)
[2024-11-10 18:26:32 +0100] [98] [INFO] Handling signal: term
Darknet is now running on CPU.
Error during importing OnnxNet! - No module named 'onnxruntime'
----- Trying to load weights: /app/lib/../model/model-weights.darknet - use_gpu = True -----
Failed! - I respectfully decline to load the net as I am asked to use GPU but the loaded darknet module does NOT have GPU support
----- Trying to load weights: /app/lib/../model/model-weights.onnx - use_gpu = True -----
Failed! - Not loading ONNX net due to previous import failure. Check earlier log for errors.
----- Trying to load weights: /app/lib/../model/model-weights.onnx - use_gpu = False -----
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
[2024-11-10 18:26:32 +0100] [98] [INFO] Shutting down: Master
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
[2024-11-10 18:26:47 +0100] [98] [INFO] Starting gunicorn 19.9.0
[2024-11-10 18:26:47 +0100] [98] [INFO] Listening at: http://0.0.0.0:3333 (98)
[2024-11-10 18:26:47 +0100] [98] [INFO] Using worker: sync
:1031: RuntimeWarning: line buffering (buffering=1) isn't supported in binary mode, the default buffer size will be used
[2024-11-10 18:26:47 +0100] [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
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
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
Loading weights from /app/lib/../model/model-weights.darknet...Done! Loaded 32 layers from weights-file

@nberktumer
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You can try to access it from http://<obico_ml_host_api>/hc/ url.

@Bikestuff
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Yes, that works. Blank page with a text "ok"

@ccos89
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ccos89 commented Nov 14, 2024

I'm having the same issue. Have set frequency of the automation to 60 seconds but it is writing logs every second. Docker running and I'm able to resolve the api host page with the 'ok' text.

@Quack6765
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Quack6765 commented Nov 18, 2024

Seems this is related to this line:


Which makes the automation trigger every second instead of following what we've set in detection_frequency

@Bikestuff
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Is that a workaround to modify this value or the final solution?

@Quack6765
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Quack6765 commented Nov 26, 2024

Is that a workaround to modify this value or the final solution?

You can manually edit the value by editing the blueprint in your config/blueprints/automation/nberktumer folder in HA and reloading.

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