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None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None seen 64, trained: 1427 K-images (22 Kilo-batches_64) Loaded - names_list: /app/model/names, classes = 1 [2024-08-15 09:58:09 -0600] [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 [2024-08-15 09:58:12 -0600] [97] [INFO] Starting gunicorn 19.9.0 [2024-08-15 09:58:12 -0600] [97] [INFO] Listening at: http://0.0.0.0:3333 (97) [2024-08-15 09:58:12 -0600] [97] [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 [2024-08-15 09:58:12 -0600] [98] [INFO] Booting worker with pid: 98 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
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