Initialize stable model repo with revisions/v1

README.md

@@ -0,0 +1,60 @@
+---
+pipeline_tag: object-detection
+library_name: ultralytics
+license: other
+base_model: Ultralytics/YOLO11n
+base_model_relation: finetune
+datasets:
+  - LK-ROBOTICS/nxp-sf-train-balanced
+tags:
+  - yolo
+  - object-detection
+  - patrol
+  - safety
+  - fire-detection
+  - smoke-detection
+  - edge
+  - quantized
+  - tflite
+  - litert
+  - nxp
+  - sf
+language:
+  - ko
+  - en
+latest_revision: v1
+metrics:
+  - mAP
+model-index:
+  - name: nxp-sf-yolo11n-balanced-v1
+    results:
+      - task:
+          type: object-detection
+        dataset:
+          name: LK-ROBOTICS/nxp-sf-train-balanced
+          type: LK-ROBOTICS/nxp-sf-train-balanced
+          revision: v1
+        metrics:
+          - type: precision
+            value: 0.80517
+          - type: recall
+            value: 0.7361
+          - type: mAP50
+            value: 0.78698
+          - type: mAP50-95
+            value: 0.48807
+---
+
+# NXP SF YOLO11n Balanced
+
+이 repo는 stable model family repo이며, 각 model revision은 `revisions/<revision>/` 아래에 저장합니다.
+
+- stable repo: `LK-ROBOTICS/nxp-sf-yolo11n-balanced`
+- latest revision: `v1`
+- dataset family repo: `LK-ROBOTICS/nxp-sf-train-balanced`
+
+## Revisions
+
+| revision | path | note |
+|---|---|---|
+| v1 | `revisions/v1` | current migrated baseline from legacy `nxp-sf-yolo11n-balanced-v1` |

revisions/v1/README.md

@@ -0,0 +1,82 @@
+---
+pipeline_tag: object-detection
+library_name: ultralytics
+license: other
+base_model: Ultralytics/YOLO11n
+base_model_relation: finetune
+datasets:
+  - LK-ROBOTICS/nxp-sf-train-balanced
+tags:
+  - yolo
+  - object-detection
+  - patrol
+  - safety
+  - fire-detection
+  - smoke-detection
+  - edge
+  - quantized
+  - tflite
+  - litert
+  - nxp
+  - sf
+language:
+  - ko
+  - en
+metrics:
+  - mAP
+model-index:
+  - name: nxp-sf-yolo11n-balanced-v1
+    results:
+      - task:
+          type: object-detection
+        dataset:
+          name: LK-ROBOTICS/nxp-sf-train-balanced
+          type: LK-ROBOTICS/nxp-sf-train-balanced
+          revision: v1
+        metrics:
+          - type: precision
+            value: 0.80517
+          - type: recall
+            value: 0.7361
+          - type: mAP50
+            value: 0.78698
+          - type: mAP50-95
+            value: 0.48807
+model_repo: LK-ROBOTICS/nxp-sf-yolo11n-balanced
+revision: v1
+---
+
+# NXP SF YOLO11n Balanced v1
+
+## 개요
+
+`v1`은 NXP `lk_vision_patroller` 전면 RGB 카메라의 fire/smoke 2-class 탐지를 위한 YOLO11n 기반 candidate revision입니다.
+
+## 학습
+
+- dataset repo: `LK-ROBOTICS/nxp-sf-train-balanced`
+- dataset revision: `v1`
+- image size: 320
+- epochs: 200
+- batch: 192
+- workers: 8
+- run dir: `/home/jinhyuk2me/lk_ws/ai/vision/perception/projects/patroller-sf-yolo11n-nxp/runs/train/sf_balanced_v1_e200_img320_b192w8_pat40_20260413`
+
+## 평가
+
+| metric | value |
+|---|---:|
+| precision | 0.8052 |
+| recall | 0.7361 |
+| mAP50 | 0.7870 |
+| mAP50-95 | 0.4881 |
+
+## Artifacts
+
+- `best.pt`
+- `best.onnx`
+- `tflite/best_full_integer_quant.tflite`
+- `tflite/labels.txt`
+- `tflite/export_gate_report.md`
+- `results.csv`
+- `args.yaml`

revisions/v1/args.yaml

@@ -0,0 +1,109 @@
+task: detect
+mode: train
+model: yolo11n.pt
+data: /home/jinhyuk2me/lk_ws/ai/vision/perception/projects/patroller-sf-yolo11n-nxp/data-nxp-sf-train-balanced-v1.yaml
+epochs: 200
+time: null
+patience: 40
+batch: 192
+imgsz: 320
+save: true
+save_period: -1
+cache: false
+device: '0'
+workers: 8
+project: /home/jinhyuk2me/lk_ws/ai/vision/perception/projects/patroller-sf-yolo11n-nxp/runs/train
+name: sf_balanced_v1_e200_img320_b192w8_pat40_20260413
+exist_ok: true
+pretrained: true
+optimizer: auto
+verbose: true
+seed: 0
+deterministic: true
+single_cls: false
+rect: false
+cos_lr: false
+close_mosaic: 10
+resume: false
+amp: true
+fraction: 1.0
+profile: false
+freeze: null
+multi_scale: 0.0
+compile: false
+overlap_mask: true
+mask_ratio: 4
+dropout: 0.0
+val: true
+split: val
+save_json: false
+conf: null
+iou: 0.7
+max_det: 300
+half: false
+dnn: false
+plots: true
+end2end: null
+source: null
+vid_stride: 1
+stream_buffer: false
+visualize: false
+augment: false
+agnostic_nms: false
+classes: null
+retina_masks: false
+embed: null
+show: false
+save_frames: false
+save_txt: false
+save_conf: false
+save_crop: false
+show_labels: true
+show_conf: true
+show_boxes: true
+line_width: null
+format: torchscript
+keras: false
+optimize: false
+int8: false
+dynamic: false
+simplify: true
+opset: null
+workspace: null
+nms: false
+lr0: 0.01
+lrf: 0.01
+momentum: 0.937
+weight_decay: 0.0005
+warmup_epochs: 3.0
+warmup_momentum: 0.8
+warmup_bias_lr: 0.1
+box: 7.5
+cls: 0.5
+dfl: 1.5
+pose: 12.0
+kobj: 1.0
+rle: 1.0
+angle: 1.0
+nbs: 64
+hsv_h: 0.015
+hsv_s: 0.7
+hsv_v: 0.4
+degrees: 0.0
+translate: 0.1
+scale: 0.5
+shear: 0.0
+perspective: 0.0
+flipud: 0.0
+fliplr: 0.5
+bgr: 0.0
+mosaic: 1.0
+mixup: 0.0
+cutmix: 0.0
+copy_paste: 0.0
+copy_paste_mode: flip
+auto_augment: randaugment
+erasing: 0.4
+cfg: null
+tracker: botsort.yaml
+save_dir: /home/jinhyuk2me/lk_ws/ai/vision/perception/projects/patroller-sf-yolo11n-nxp/runs/train/sf_balanced_v1_e200_img320_b192w8_pat40_20260413

revisions/v1/best.onnx

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:13e61ea2504b816e78d72cf7389989a154984c7e9d49c00697d4b0ce4c416c81
+size 10484720

revisions/v1/best.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:f4f3bff5f90d6c12911b5601c31b61f16d2e3aa92faf5f4dbc391feeab3a4f0e
+size 5450522

revisions/v1/results.csv

@@ -0,0 +1,195 @@
+epoch,time,train/box_loss,train/cls_loss,train/dfl_loss,metrics/precision(B),metrics/recall(B),metrics/mAP50(B),metrics/mAP50-95(B),val/box_loss,val/cls_loss,val/dfl_loss,lr/pg0,lr/pg1,lr/pg2
+1,35.4377,1.71636,2.70887,1.46599,0.61795,0.07929,0.19865,0.08874,1.67908,2.85622,1.35663,0.000542744,0.000542744,0.000542744
+2,46.7779,1.6006,1.74371,1.34662,0.52205,0.18828,0.18771,0.09978,1.73216,2.7369,1.53732,0.00109297,0.00109297,0.00109297
+3,68.0007,1.61873,1.67684,1.37041,0.44744,0.37844,0.36798,0.16677,1.96181,2.01065,1.70042,0.0016377,0.0016377,0.0016377
+4,76.2657,1.6076,1.5876,1.36646,0.42623,0.33304,0.3388,0.17887,1.77094,2.71443,1.52723,0.00164225,0.00164225,0.00164225
+5,84.0221,1.58255,1.51102,1.33847,0.54045,0.42396,0.41755,0.20102,1.92523,2.26325,1.61181,0.00163399,0.00163399,0.00163399
+6,91.8199,1.5507,1.4681,1.3218,0.60717,0.51711,0.55824,0.28831,1.68648,1.79663,1.40292,0.00162574,0.00162574,0.00162574
+7,99.6492,1.52671,1.40865,1.32033,0.65962,0.53537,0.59448,0.32329,1.6118,1.56233,1.36117,0.00161749,0.00161749,0.00161749
+8,107.561,1.51251,1.36747,1.29767,0.43593,0.41584,0.39074,0.20249,1.76532,3.01825,1.50771,0.00160924,0.00160924,0.00160924
+9,115.093,1.50164,1.34438,1.29524,0.56242,0.47736,0.50245,0.25424,1.70837,1.67116,1.39979,0.00160099,0.00160099,0.00160099
+10,122.633,1.49984,1.33921,1.28629,0.56614,0.44311,0.49606,0.28232,1.63518,1.73907,1.39493,0.00159274,0.00159274,0.00159274
+11,130.18,1.47499,1.30652,1.28139,0.64626,0.54715,0.59943,0.32318,1.61091,1.5066,1.34705,0.00158448,0.00158448,0.00158448
+12,137.976,1.46803,1.28145,1.28131,0.6904,0.59039,0.63817,0.33783,1.56936,1.34233,1.32473,0.00157623,0.00157623,0.00157623
+13,145.437,1.46576,1.2671,1.2743,0.69179,0.56358,0.60046,0.33152,1.56444,1.41031,1.31876,0.00156798,0.00156798,0.00156798
+14,153.204,1.44652,1.244,1.26543,0.63434,0.54085,0.58356,0.31303,1.65319,1.40436,1.36205,0.00155973,0.00155973,0.00155973
+15,161.511,1.43907,1.24174,1.25911,0.69919,0.56372,0.63504,0.34883,1.55403,1.48156,1.29783,0.00155148,0.00155148,0.00155148
+16,169.029,1.43701,1.22864,1.2596,0.65832,0.58806,0.63502,0.35574,1.523,1.35928,1.30007,0.00154323,0.00154323,0.00154323
+17,176.669,1.42364,1.21317,1.25309,0.53387,0.4665,0.47258,0.24802,1.70194,1.60016,1.36944,0.00153497,0.00153497,0.00153497
+18,184.23,1.41338,1.20363,1.25005,0.7246,0.61709,0.68803,0.38745,1.50155,1.2032,1.28489,0.00152672,0.00152672,0.00152672
+19,192.053,1.4013,1.18008,1.24048,0.73991,0.61878,0.69309,0.38998,1.52089,1.17241,1.2911,0.00151847,0.00151847,0.00151847
+20,199.701,1.38759,1.17203,1.23482,0.75083,0.61482,0.68802,0.3934,1.48679,1.16363,1.26105,0.00151022,0.00151022,0.00151022
+21,207.486,1.39673,1.16127,1.23933,0.73976,0.60919,0.68218,0.37808,1.472,1.20704,1.25366,0.00150197,0.00150197,0.00150197
+22,215.369,1.38139,1.15273,1.22736,0.70998,0.51651,0.61102,0.34274,1.54291,1.38056,1.2962,0.00149372,0.00149372,0.00149372
+23,223.214,1.3802,1.12899,1.22233,0.73559,0.60311,0.67559,0.38737,1.49999,1.21336,1.27485,0.00148546,0.00148546,0.00148546
+24,231.425,1.374,1.12689,1.2224,0.72931,0.56959,0.64864,0.37236,1.48172,1.31597,1.26126,0.00147721,0.00147721,0.00147721
+25,239.278,1.37618,1.12089,1.22027,0.74256,0.58801,0.67563,0.37919,1.49367,1.19238,1.25157,0.00146896,0.00146896,0.00146896
+26,247.392,1.36929,1.12262,1.21959,0.75922,0.62161,0.71258,0.41527,1.43195,1.12015,1.23884,0.00146071,0.00146071,0.00146071
+27,255.354,1.34436,1.09481,1.20837,0.73712,0.62365,0.68471,0.40057,1.44529,1.20895,1.24869,0.00145246,0.00145246,0.00145246
+28,262.927,1.35443,1.1014,1.20729,0.73062,0.6277,0.70437,0.40993,1.42341,1.12561,1.21791,0.00144421,0.00144421,0.00144421
+29,270.546,1.35735,1.10295,1.21532,0.78048,0.61547,0.70574,0.41631,1.44773,1.11023,1.24324,0.00143595,0.00143595,0.00143595
+30,278.008,1.34036,1.09054,1.20758,0.79189,0.62044,0.72569,0.43106,1.40704,1.0733,1.21188,0.0014277,0.0014277,0.0014277
+31,285.722,1.34093,1.08461,1.20122,0.76367,0.62344,0.71185,0.40945,1.45656,1.11507,1.26197,0.00141945,0.00141945,0.00141945
+32,293.192,1.342,1.07268,1.20141,0.75286,0.64004,0.71009,0.41615,1.42648,1.11843,1.22085,0.0014112,0.0014112,0.0014112
+33,300.788,1.3308,1.06367,1.1982,0.74554,0.65026,0.72466,0.42048,1.45196,1.10435,1.24799,0.00140295,0.00140295,0.00140295
+34,308.525,1.34097,1.07038,1.19632,0.74527,0.61036,0.69372,0.39991,1.44596,1.13876,1.22436,0.0013947,0.0013947,0.0013947
+35,316.708,1.33081,1.07036,1.19442,0.73326,0.58422,0.64362,0.35529,1.54563,1.49495,1.32175,0.00138644,0.00138644,0.00138644
+36,324.348,1.32113,1.05307,1.18363,0.693,0.62323,0.67652,0.38786,1.48029,1.1975,1.27843,0.00137819,0.00137819,0.00137819
+37,331.966,1.31818,1.04906,1.18805,0.79501,0.60593,0.71381,0.42164,1.4187,1.16418,1.22232,0.00136994,0.00136994,0.00136994
+38,340.007,1.31961,1.03783,1.18324,0.7421,0.64067,0.70962,0.41602,1.4305,1.06974,1.23436,0.00136169,0.00136169,0.00136169
+39,348.208,1.31272,1.04476,1.18991,0.72647,0.609,0.70222,0.41033,1.447,1.11533,1.24119,0.00135344,0.00135344,0.00135344
+40,355.83,1.30422,1.03186,1.18636,0.74761,0.65757,0.7295,0.43924,1.40408,1.03947,1.21493,0.00134519,0.00134519,0.00134519
+41,363.781,1.31265,1.03023,1.1856,0.73602,0.63131,0.71094,0.42352,1.39734,1.15832,1.21063,0.00133693,0.00133693,0.00133693
+42,371.618,1.28834,1.0163,1.173,0.79236,0.61974,0.72024,0.42528,1.42174,1.0743,1.2237,0.00132868,0.00132868,0.00132868
+43,379.938,1.30034,1.01187,1.17775,0.66039,0.59705,0.68362,0.4029,1.4235,1.3386,1.22007,0.00132043,0.00132043,0.00132043
+44,388.038,1.28461,1.01293,1.17409,0.77317,0.62832,0.71012,0.40338,1.45845,1.1129,1.24092,0.00131218,0.00131218,0.00131218
+45,396.255,1.30204,1.00849,1.18075,0.78545,0.66318,0.73876,0.43826,1.37847,1.02863,1.19789,0.00130393,0.00130393,0.00130393
+46,404.519,1.282,1.00182,1.1717,0.79508,0.66042,0.76062,0.44968,1.38095,0.98697,1.20334,0.00129568,0.00129568,0.00129568
+47,412.86,1.28108,0.98746,1.16465,0.67923,0.62155,0.66699,0.40633,1.40597,1.20106,1.21142,0.00128742,0.00128742,0.00128742
+48,420.539,1.28099,0.99577,1.16937,0.78702,0.61675,0.71813,0.42856,1.41735,1.08095,1.20581,0.00127917,0.00127917,0.00127917
+49,428.347,1.28145,0.99125,1.1677,0.77862,0.61544,0.72287,0.42908,1.38744,1.16978,1.21176,0.00127092,0.00127092,0.00127092
+50,436.17,1.27271,0.98591,1.16888,0.79417,0.6785,0.7615,0.45979,1.3665,0.95898,1.20419,0.00126267,0.00126267,0.00126267
+51,443.899,1.26726,0.97789,1.15548,0.77342,0.6639,0.74026,0.4279,1.4381,1.02595,1.2499,0.00125442,0.00125442,0.00125442
+52,452.092,1.26008,0.96651,1.15537,0.79624,0.61765,0.72764,0.44783,1.35282,1.06337,1.18635,0.00124617,0.00124617,0.00124617
+53,460.333,1.27249,0.97676,1.1609,0.74736,0.61492,0.69132,0.40498,1.4364,1.24121,1.23556,0.00123791,0.00123791,0.00123791
+54,468.429,1.25888,0.958,1.15415,0.80101,0.67773,0.74788,0.4494,1.39494,1.03445,1.19904,0.00122966,0.00122966,0.00122966
+55,476.614,1.26058,0.95887,1.15668,0.77253,0.66162,0.74415,0.44839,1.37378,0.9859,1.2009,0.00122141,0.00122141,0.00122141
+56,484.65,1.25145,0.95304,1.14789,0.80331,0.65815,0.74968,0.44998,1.38302,0.9883,1.19163,0.00121316,0.00121316,0.00121316
+57,492.488,1.2684,0.96552,1.15682,0.81538,0.64498,0.7509,0.4542,1.37749,0.986,1.20304,0.00120491,0.00120491,0.00120491
+58,500.532,1.2647,0.95905,1.15328,0.80911,0.65283,0.74462,0.45308,1.36515,0.97293,1.18156,0.00119666,0.00119666,0.00119666
+59,508.63,1.25585,0.94026,1.14671,0.80626,0.66345,0.74511,0.45037,1.38175,0.98487,1.18752,0.0011884,0.0011884,0.0011884
+60,516.712,1.25398,0.94865,1.1515,0.80211,0.65993,0.75028,0.45619,1.37163,0.98722,1.20492,0.00118015,0.00118015,0.00118015
+61,525.111,1.25055,0.94369,1.1493,0.7992,0.67309,0.74825,0.4482,1.40267,0.97725,1.21452,0.0011719,0.0011719,0.0011719
+62,533.034,1.2342,0.92804,1.14176,0.78205,0.63515,0.7305,0.42422,1.43649,1.03761,1.2123,0.00116365,0.00116365,0.00116365
+63,540.849,1.23158,0.92472,1.13814,0.80155,0.67127,0.75344,0.4559,1.36246,0.9656,1.19612,0.0011554,0.0011554,0.0011554
+64,548.317,1.23121,0.92202,1.13949,0.78477,0.68227,0.75682,0.46093,1.34626,0.95725,1.17908,0.00114715,0.00114715,0.00114715
+65,555.877,1.24625,0.92885,1.14226,0.76534,0.68585,0.75348,0.45597,1.36927,0.95082,1.18733,0.00113889,0.00113889,0.00113889
+66,563.612,1.24415,0.9311,1.14088,0.80175,0.66979,0.75822,0.45757,1.35202,0.95797,1.18543,0.00113064,0.00113064,0.00113064
+67,571.475,1.23544,0.91906,1.13865,0.81274,0.68418,0.75722,0.45797,1.35443,0.95875,1.18669,0.00112239,0.00112239,0.00112239
+68,580.112,1.2267,0.91517,1.13304,0.81055,0.67673,0.75888,0.46524,1.3533,0.94899,1.18366,0.00111414,0.00111414,0.00111414
+69,587.958,1.21646,0.90642,1.13135,0.81886,0.67248,0.75983,0.46835,1.32839,0.96008,1.17237,0.00110589,0.00110589,0.00110589
+70,595.773,1.20921,0.89395,1.12697,0.81219,0.6985,0.77263,0.46515,1.3576,0.90968,1.18328,0.00109764,0.00109764,0.00109764
+71,603.537,1.21875,0.90655,1.12675,0.81512,0.65116,0.7445,0.44622,1.38664,1.01043,1.21774,0.00108938,0.00108938,0.00108938
+72,611.087,1.20638,0.89083,1.12588,0.80318,0.68227,0.75992,0.44773,1.39148,0.94833,1.21298,0.00108113,0.00108113,0.00108113
+73,619.18,1.21422,0.89814,1.12605,0.8128,0.6813,0.76425,0.46626,1.33463,0.92303,1.17901,0.00107288,0.00107288,0.00107288
+74,627.478,1.2157,0.89302,1.12966,0.81181,0.68307,0.76426,0.46016,1.37188,0.92671,1.19106,0.00106463,0.00106463,0.00106463
+75,635.551,1.21297,0.88795,1.12173,0.81922,0.67633,0.76596,0.47607,1.32474,0.90629,1.18065,0.00105638,0.00105638,0.00105638
+76,644.03,1.20029,0.88649,1.12131,0.80436,0.6993,0.76695,0.47545,1.31742,0.93232,1.16904,0.00104813,0.00104813,0.00104813
+77,651.998,1.19832,0.87779,1.12517,0.81907,0.69425,0.77888,0.47626,1.33961,0.90079,1.1723,0.00103987,0.00103987,0.00103987
+78,664.207,1.19325,0.88112,1.12234,0.77458,0.69275,0.76321,0.45736,1.34424,0.92587,1.17595,0.00103162,0.00103162,0.00103162
+79,674.241,1.19456,0.86925,1.11973,0.7965,0.69211,0.76186,0.46594,1.328,0.9311,1.16619,0.00102337,0.00102337,0.00102337
+80,682.605,1.18943,0.87063,1.11821,0.80372,0.70196,0.76197,0.46715,1.34782,0.93185,1.17789,0.00101512,0.00101512,0.00101512
+81,691.066,1.19114,0.87307,1.1196,0.76616,0.65366,0.73331,0.44292,1.38007,0.9999,1.2119,0.00100687,0.00100687,0.00100687
+82,699.447,1.19295,0.87013,1.11681,0.8063,0.69655,0.76788,0.46681,1.35682,0.91796,1.19611,0.000998616,0.000998616,0.000998616
+83,707.426,1.17687,0.85695,1.10996,0.81449,0.69015,0.77036,0.47388,1.33191,0.88768,1.16642,0.000990365,0.000990365,0.000990365
+84,715.823,1.18362,0.86177,1.11675,0.7996,0.68599,0.76114,0.45762,1.39344,0.93722,1.19874,0.000982113,0.000982113,0.000982113
+85,724.093,1.18661,0.85582,1.11091,0.81838,0.69322,0.77518,0.47774,1.33662,0.87995,1.16554,0.000973861,0.000973861,0.000973861
+86,732.483,1.18212,0.85462,1.10729,0.80723,0.7028,0.77495,0.477,1.33965,0.88971,1.18326,0.00096561,0.00096561,0.00096561
+87,741.39,1.17936,0.8516,1.10745,0.80715,0.70252,0.76686,0.47369,1.33827,0.89051,1.18442,0.000957358,0.000957358,0.000957358
+88,750.182,1.18077,0.8455,1.10577,0.80315,0.69945,0.77309,0.48174,1.31431,0.86678,1.16121,0.000949106,0.000949106,0.000949106
+89,758.634,1.17181,0.84755,1.10087,0.82143,0.69265,0.77773,0.48038,1.32847,0.89142,1.16085,0.000940855,0.000940855,0.000940855
+90,767.066,1.17767,0.84295,1.1054,0.82104,0.68637,0.77155,0.47598,1.3423,0.89429,1.16432,0.000932603,0.000932603,0.000932603
+91,775.317,1.16335,0.83166,1.10115,0.80742,0.68967,0.76137,0.47394,1.32486,0.89576,1.16576,0.000924352,0.000924352,0.000924352
+92,783.493,1.15877,0.82966,1.09616,0.80019,0.69389,0.76484,0.47468,1.33113,0.89646,1.17241,0.0009161,0.0009161,0.0009161
+93,791.744,1.15414,0.83037,1.0971,0.80099,0.72174,0.7783,0.47801,1.32745,0.87676,1.17168,0.000907848,0.000907848,0.000907848
+94,801.47,1.16664,0.834,1.10323,0.82509,0.69298,0.77345,0.4722,1.33313,0.89846,1.18144,0.000899597,0.000899597,0.000899597
+95,810.252,1.1587,0.8177,1.0984,0.83332,0.69612,0.7813,0.48141,1.33162,0.86244,1.17233,0.000891345,0.000891345,0.000891345
+96,818.4,1.16819,0.82977,1.10229,0.80208,0.71355,0.77791,0.4825,1.32165,0.86032,1.1751,0.000883093,0.000883093,0.000883093
+97,826.529,1.16477,0.82768,1.10341,0.81565,0.68854,0.77891,0.47556,1.36662,0.8798,1.18527,0.000874842,0.000874842,0.000874842
+98,834.855,1.15591,0.81734,1.09631,0.81451,0.69757,0.77512,0.47792,1.33674,0.88803,1.18132,0.00086659,0.00086659,0.00086659
+99,842.867,1.15274,0.81065,1.09506,0.81471,0.71243,0.78292,0.48235,1.32156,0.87198,1.1716,0.000858338,0.000858338,0.000858338
+100,851.003,1.14346,0.81056,1.09443,0.80271,0.70305,0.77795,0.47789,1.33811,0.86511,1.17552,0.000850087,0.000850087,0.000850087
+101,859.263,1.14945,0.81202,1.09228,0.82575,0.71267,0.78381,0.48553,1.3154,0.846,1.16687,0.000841835,0.000841835,0.000841835
+102,867.423,1.15647,0.8181,1.0945,0.83797,0.68261,0.78074,0.48312,1.33443,0.85889,1.17698,0.000833583,0.000833583,0.000833583
+103,876.429,1.1428,0.80808,1.0918,0.8248,0.68979,0.77265,0.47638,1.34099,0.88484,1.18702,0.000825332,0.000825332,0.000825332
+104,884.247,1.14678,0.80271,1.09062,0.80716,0.69382,0.77325,0.4785,1.32864,0.88522,1.17503,0.00081708,0.00081708,0.00081708
+105,892.519,1.12916,0.78817,1.07834,0.82813,0.69028,0.78005,0.48148,1.32559,0.86534,1.16223,0.000808828,0.000808828,0.000808828
+106,901.059,1.13243,0.79524,1.08525,0.82109,0.7096,0.78276,0.48376,1.32396,0.85471,1.16356,0.000800577,0.000800577,0.000800577
+107,909.607,1.13797,0.79643,1.08486,0.8204,0.70552,0.77634,0.48048,1.31999,0.90932,1.16218,0.000792325,0.000792325,0.000792325
+108,917.612,1.14365,0.80243,1.08601,0.80264,0.70943,0.78229,0.47877,1.31998,0.86909,1.16752,0.000784073,0.000784073,0.000784073
+109,925.673,1.12575,0.79432,1.08325,0.82507,0.69028,0.78058,0.47937,1.33259,0.85342,1.18186,0.000775822,0.000775822,0.000775822
+110,933.749,1.13859,0.79697,1.08634,0.81145,0.70876,0.76842,0.47886,1.31651,0.90606,1.16631,0.00076757,0.00076757,0.00076757
+111,941.685,1.1304,0.78563,1.08312,0.83754,0.69633,0.78459,0.48174,1.33404,0.85749,1.16856,0.000759318,0.000759318,0.000759318
+112,949.734,1.12594,0.78502,1.08388,0.80278,0.71501,0.78235,0.48718,1.31037,0.84411,1.16599,0.000751067,0.000751067,0.000751067
+113,957.686,1.11929,0.78564,1.07513,0.80684,0.70904,0.78407,0.48425,1.32415,0.84257,1.16859,0.000742815,0.000742815,0.000742815
+114,965.225,1.11881,0.77342,1.07803,0.82452,0.70668,0.7866,0.48732,1.32661,0.84633,1.16273,0.000734564,0.000734564,0.000734564
+115,972.811,1.12426,0.77709,1.08065,0.82897,0.69383,0.78793,0.49058,1.3069,0.85779,1.15735,0.000726312,0.000726312,0.000726312
+116,981.256,1.12092,0.78093,1.07842,0.79514,0.7103,0.78243,0.48908,1.30879,0.8479,1.16472,0.00071806,0.00071806,0.00071806
+117,988.84,1.11496,0.77179,1.07422,0.80171,0.70898,0.78008,0.48377,1.31524,0.83473,1.17211,0.000709809,0.000709809,0.000709809
+118,996.52,1.11228,0.76726,1.07084,0.81643,0.71456,0.78531,0.48643,1.31804,0.83944,1.17477,0.000701557,0.000701557,0.000701557
+119,1004.16,1.10731,0.75882,1.06789,0.80166,0.71959,0.7829,0.48713,1.31687,0.85729,1.16962,0.000693305,0.000693305,0.000693305
+120,1011.65,1.11258,0.76463,1.07011,0.83182,0.70986,0.78979,0.48975,1.32098,0.85134,1.1681,0.000685054,0.000685054,0.000685054
+121,1019.52,1.10358,0.74882,1.06495,0.81506,0.71606,0.78515,0.48526,1.33655,0.84339,1.1829,0.000676802,0.000676802,0.000676802
+122,1027.11,1.10407,0.75874,1.06883,0.82463,0.70611,0.78716,0.48703,1.31758,0.8417,1.16734,0.00066855,0.00066855,0.00066855
+123,1034.7,1.10246,0.75548,1.06805,0.84898,0.70377,0.79135,0.49112,1.3104,0.82807,1.15926,0.000660299,0.000660299,0.000660299
+124,1042.39,1.0974,0.75084,1.06484,0.82879,0.70086,0.78309,0.48497,1.31833,0.85318,1.1675,0.000652047,0.000652047,0.000652047
+125,1050.41,1.09776,0.74996,1.06294,0.82949,0.71142,0.78715,0.49169,1.3096,0.83003,1.1646,0.000643795,0.000643795,0.000643795
+126,1058.52,1.08592,0.7569,1.06331,0.81117,0.72673,0.78897,0.49337,1.30639,0.82618,1.16004,0.000635544,0.000635544,0.000635544
+127,1066.85,1.08791,0.73467,1.06122,0.83188,0.70427,0.78565,0.48882,1.33104,0.83104,1.17399,0.000627292,0.000627292,0.000627292
+128,1074.98,1.08837,0.74642,1.06225,0.80505,0.71235,0.78359,0.48711,1.3161,0.82546,1.16856,0.00061904,0.00061904,0.00061904
+129,1083.14,1.08323,0.73252,1.06314,0.82856,0.71956,0.7892,0.49611,1.31581,0.82299,1.16716,0.000610789,0.000610789,0.000610789
+130,1091.71,1.07946,0.73413,1.05545,0.8155,0.71769,0.78898,0.48703,1.33423,0.81976,1.17945,0.000602537,0.000602537,0.000602537
+131,1100,1.08,0.73873,1.05755,0.8152,0.72177,0.78667,0.48399,1.32243,0.82402,1.17488,0.000594286,0.000594286,0.000594286
+132,1108.03,1.08679,0.7431,1.06511,0.84067,0.71473,0.79118,0.49169,1.3116,0.80928,1.16664,0.000586034,0.000586034,0.000586034
+133,1116.23,1.07842,0.73579,1.05473,0.83049,0.71615,0.794,0.49037,1.32226,0.8154,1.17165,0.000577782,0.000577782,0.000577782
+134,1124.67,1.08328,0.73151,1.05841,0.81477,0.724,0.79105,0.48766,1.31531,0.82251,1.17044,0.000569531,0.000569531,0.000569531
+135,1132.84,1.07471,0.73503,1.05572,0.80885,0.71941,0.78991,0.48687,1.32391,0.82814,1.18002,0.000561279,0.000561279,0.000561279
+136,1140.83,1.07499,0.72216,1.05631,0.8305,0.71626,0.78994,0.48923,1.32373,0.81506,1.1775,0.000553027,0.000553027,0.000553027
+137,1148.98,1.07303,0.72625,1.05332,0.80781,0.73115,0.79097,0.49223,1.30767,0.80381,1.16806,0.000544776,0.000544776,0.000544776
+138,1157.02,1.06709,0.71861,1.05448,0.81964,0.72045,0.78921,0.49432,1.31217,0.81705,1.17012,0.000536524,0.000536524,0.000536524
+139,1164.91,1.07627,0.72764,1.05708,0.8021,0.72954,0.79064,0.49028,1.3154,0.81039,1.17559,0.000528272,0.000528272,0.000528272
+140,1172.95,1.06267,0.71498,1.0526,0.80987,0.72664,0.7884,0.48825,1.31799,0.81709,1.17925,0.000520021,0.000520021,0.000520021
+141,1181.24,1.06028,0.71608,1.05139,0.82532,0.71892,0.79011,0.4895,1.33336,0.80768,1.19357,0.000511769,0.000511769,0.000511769
+142,1189.25,1.06072,0.71434,1.05046,0.81442,0.71786,0.78697,0.48966,1.33062,0.8222,1.19505,0.000503517,0.000503517,0.000503517
+143,1197.25,1.05587,0.70979,1.0511,0.8153,0.72418,0.79147,0.4917,1.31719,0.82212,1.17945,0.000495266,0.000495266,0.000495266
+144,1205.5,1.05352,0.71107,1.04665,0.84256,0.70802,0.79297,0.49378,1.31417,0.80972,1.17687,0.000487014,0.000487014,0.000487014
+145,1213.4,1.05395,0.709,1.04496,0.81958,0.72329,0.79315,0.49339,1.32556,0.80551,1.18013,0.000478762,0.000478762,0.000478762
+146,1221.33,1.0478,0.7072,1.04437,0.8219,0.72253,0.79057,0.48894,1.33468,0.82464,1.19092,0.000470511,0.000470511,0.000470511
+147,1229.16,1.05515,0.7082,1.04467,0.82932,0.7194,0.78757,0.48973,1.3173,0.82107,1.17935,0.000462259,0.000462259,0.000462259
+148,1237.21,1.04737,0.70367,1.04369,0.82833,0.7287,0.79401,0.4914,1.33244,0.81524,1.1916,0.000454007,0.000454007,0.000454007
+149,1245.23,1.05151,0.71161,1.04933,0.8207,0.73418,0.79536,0.49298,1.32554,0.80572,1.19108,0.000445756,0.000445756,0.000445756
+150,1253.2,1.04789,0.69704,1.04399,0.82207,0.72743,0.79329,0.49475,1.3231,0.81307,1.18419,0.000437504,0.000437504,0.000437504
+151,1261.06,1.05322,0.69999,1.04817,0.81968,0.72822,0.79281,0.49097,1.32261,0.81636,1.17703,0.000429253,0.000429253,0.000429253
+152,1268.97,1.04697,0.69408,1.04182,0.81954,0.72515,0.78855,0.48905,1.32777,0.82482,1.1871,0.000421001,0.000421001,0.000421001
+153,1276.75,1.04541,0.69126,1.04193,0.83302,0.71482,0.79307,0.49644,1.32422,0.81463,1.17828,0.000412749,0.000412749,0.000412749
+154,1284.7,1.03386,0.68987,1.03765,0.82033,0.72869,0.79058,0.49656,1.31717,0.8078,1.17617,0.000404498,0.000404498,0.000404498
+155,1292.81,1.03028,0.67902,1.0333,0.81332,0.72622,0.78502,0.49196,1.31581,0.81611,1.18399,0.000396246,0.000396246,0.000396246
+156,1300.67,1.0349,0.6824,1.03544,0.8085,0.7394,0.79076,0.49596,1.31279,0.80454,1.17443,0.000387994,0.000387994,0.000387994
+157,1308.45,1.0452,0.69104,1.03797,0.81094,0.7417,0.79022,0.49332,1.32,0.80142,1.18447,0.000379743,0.000379743,0.000379743
+158,1316.22,1.03567,0.68688,1.03443,0.8129,0.73905,0.79378,0.49324,1.32097,0.80235,1.18157,0.000371491,0.000371491,0.000371491
+159,1324.26,1.02615,0.68023,1.03165,0.80894,0.73942,0.78942,0.49176,1.30781,0.81077,1.17064,0.000363239,0.000363239,0.000363239
+160,1332.19,1.03747,0.68459,1.03577,0.82246,0.73333,0.78909,0.49193,1.31988,0.80931,1.17728,0.000354988,0.000354988,0.000354988
+161,1339.79,1.02382,0.68216,1.03529,0.83578,0.72498,0.7919,0.49464,1.31867,0.8155,1.17864,0.000346736,0.000346736,0.000346736
+162,1347.51,1.01901,0.68133,1.03345,0.82254,0.7267,0.78791,0.49412,1.30968,0.81112,1.17532,0.000338484,0.000338484,0.000338484
+163,1354.91,1.0218,0.6742,1.03396,0.81788,0.72944,0.78553,0.49339,1.31928,0.80799,1.18826,0.000330233,0.000330233,0.000330233
+164,1362.46,1.01871,0.67337,1.03277,0.82241,0.73543,0.79058,0.49585,1.31069,0.79856,1.18004,0.000321981,0.000321981,0.000321981
+165,1370.15,1.02201,0.66957,1.03357,0.81918,0.73393,0.78749,0.49372,1.31656,0.80924,1.18095,0.000313729,0.000313729,0.000313729
+166,1377.61,1.0159,0.67105,1.03064,0.81318,0.73609,0.78923,0.4954,1.31349,0.81079,1.17341,0.000305478,0.000305478,0.000305478
+167,1385.08,1.0133,0.6729,1.02891,0.80497,0.74338,0.78909,0.49286,1.31643,0.8114,1.17362,0.000297226,0.000297226,0.000297226
+168,1392.72,1.02124,0.67341,1.03125,0.81294,0.73653,0.78961,0.49237,1.32733,0.81737,1.18608,0.000288974,0.000288974,0.000288974
+169,1400.81,1.00865,0.66392,1.02827,0.79873,0.74083,0.79154,0.49193,1.31916,0.81839,1.17953,0.000280723,0.000280723,0.000280723
+170,1408.42,1.00956,0.6627,1.02559,0.81394,0.73387,0.7908,0.49214,1.32937,0.81275,1.18847,0.000272471,0.000272471,0.000272471
+171,1416.15,1.00543,0.65918,1.02376,0.82002,0.72268,0.78878,0.49089,1.31581,0.81063,1.17763,0.00026422,0.00026422,0.00026422
+172,1423.95,1.01186,0.66441,1.02933,0.8207,0.7188,0.78554,0.48821,1.32363,0.80973,1.18199,0.000255968,0.000255968,0.000255968
+173,1431.8,1.00553,0.65386,1.02321,0.80919,0.74108,0.78861,0.49256,1.3242,0.80199,1.17964,0.000247716,0.000247716,0.000247716
+174,1439.99,1.00468,0.6597,1.02261,0.80879,0.73418,0.78714,0.49046,1.32334,0.81104,1.18685,0.000239465,0.000239465,0.000239465
+175,1448.02,1.00218,0.65783,1.02379,0.81681,0.72624,0.78924,0.49202,1.32651,0.81024,1.18771,0.000231213,0.000231213,0.000231213
+176,1455.91,0.99571,0.65726,1.02107,0.81095,0.73639,0.79284,0.49378,1.32306,0.80778,1.18135,0.000222961,0.000222961,0.000222961
+177,1463.85,1.00162,0.65518,1.02432,0.80914,0.7432,0.79181,0.49375,1.32827,0.81366,1.1844,0.00021471,0.00021471,0.00021471
+178,1471.68,0.99918,0.65497,1.01984,0.8104,0.74075,0.79034,0.49215,1.32415,0.81496,1.18372,0.000206458,0.000206458,0.000206458
+179,1479.57,0.99769,0.65717,1.02013,0.80804,0.74199,0.78777,0.48948,1.33501,0.81585,1.19529,0.000198206,0.000198206,0.000198206
+180,1487.54,0.99695,0.64953,1.01933,0.80766,0.7429,0.78778,0.48853,1.32986,0.81776,1.1914,0.000189955,0.000189955,0.000189955
+181,1495.29,0.99708,0.6577,1.01751,0.80147,0.74348,0.78589,0.48918,1.32748,0.81626,1.18998,0.000181703,0.000181703,0.000181703
+182,1503.19,0.99268,0.64751,1.01759,0.80128,0.74443,0.78768,0.49218,1.32089,0.80877,1.18786,0.000173451,0.000173451,0.000173451
+183,1511.08,0.98376,0.64574,1.01464,0.79997,0.74387,0.78867,0.49292,1.32026,0.80902,1.18616,0.0001652,0.0001652,0.0001652
+184,1519.03,0.98537,0.63992,1.01478,0.80883,0.74419,0.78891,0.4916,1.32611,0.81199,1.19134,0.000156948,0.000156948,0.000156948
+185,1527.15,0.98828,0.64498,1.01473,0.80783,0.74282,0.78864,0.49032,1.32339,0.81378,1.18945,0.000148696,0.000148696,0.000148696
+186,1535.09,0.99012,0.64229,1.01831,0.80594,0.74131,0.78757,0.49187,1.32106,0.81205,1.18942,0.000140445,0.000140445,0.000140445
+187,1543.43,0.98351,0.64211,1.01372,0.81408,0.74354,0.79001,0.49213,1.31863,0.81657,1.18487,0.000132193,0.000132193,0.000132193
+188,1551.69,0.97821,0.6381,1.01498,0.81431,0.74004,0.7896,0.49179,1.32353,0.81629,1.18806,0.000123941,0.000123941,0.000123941
+189,1559.89,0.97758,0.64263,1.01636,0.81105,0.74228,0.79076,0.49245,1.32183,0.81242,1.18885,0.00011569,0.00011569,0.00011569
+190,1568.49,0.97807,0.63783,1.01362,0.81719,0.73398,0.78973,0.49195,1.32124,0.81006,1.18761,0.000107438,0.000107438,0.000107438
+191,1580.08,0.96644,0.59016,0.98465,0.81228,0.73103,0.78637,0.48938,1.32393,0.80076,1.19009,9.91865e-05,9.91865e-05,9.91865e-05
+192,1588.07,0.92294,0.53775,0.96796,0.81223,0.73184,0.7867,0.48869,1.331,0.80144,1.19236,9.09349e-05,9.09349e-05,9.09349e-05
+193,1596.08,0.90812,0.53256,0.96269,0.80916,0.72737,0.78476,0.48877,1.33472,0.80446,1.19595,8.26832e-05,8.26832e-05,8.26832e-05
+194,1604.14,0.90263,0.52688,0.95957,0.80517,0.7361,0.78698,0.48807,1.33626,0.80393,1.19881,7.44316e-05,7.44316e-05,7.44316e-05

revisions/v1/tflite/best_full_integer_quant.tflite

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:9a6220cbed455d378043b2c206313dff514c42b06b50000fb3b19c7a6192963b
+size 2902237

revisions/v1/tflite/export_gate_report.md

@@ -0,0 +1,71 @@
+# NXP SF balanced v1 TFLite gate report
+
+Date: 2026-04-13 KST
+
+## Source training artifact
+
+- Project: `nxp-fire-smoke-yolo11n`
+- Training run: `sf_balanced_v1_e200_img320_b192w8_pat40_20260413`
+- Source weight: `/home/jinhyuk2me/lk_ws/ai/vision/perception/projects/nxp-fire-smoke-yolo11n/runs/train/sf_balanced_v1_e200_img320_b192w8_pat40_20260413/weights/best.pt`
+- Source weight SHA256: `f4f3bff5f90d6c12911b5601c31b61f16d2e3aa92faf5f4dbc391feeab3a4f0e`
+- Classes: `0=fire`, `1=smoke`
+- Best train metrics: precision `0.8212`, recall `0.7278`, mAP50 `0.7900`, mAP50-95 `0.4966`
+
+## Accepted TFLite artifact
+
+- Host TFLite: `/home/jinhyuk2me/datasets/psf-yolo11n/nxp-fire-smoke-yolo11n/sf_balanced_v1_b192_tflite_gate_20260413/native_ultralytics_tflite_export/best_saved_model/best_full_integer_quant.tflite`
+- Board TFLite: `/root/model_bench/input/nxp_sf_balanced_v1_full_integer_quant.tflite`
+- Board labels: `/root/model_bench/input/nxp_sf_balanced_v1_labels.txt`
+- Board TFLite SHA256: `9a6220cbed455d378043b2c206313dff514c42b06b50000fb3b19c7a6192963b`
+
+## Export path
+
+Ultralytics native TFLite export was used with calibration data from:
+
+```text
+/home/jinhyuk2me/lk_ws/ai/vision/perception/projects/nxp-fire-smoke-yolo11n/data-nxp-sf-train-balanced-v1.yaml
+```
+
+## TFLite metadata
+
+```text
+input:  int8 [1, 320, 320, 3], quant (0.003921568859368563, -128)
+output: int8 [1, 6, 2100], quant (0.011887794360518456, -111)
+```
+
+## Host decode gate
+
+Passed on validation samples. Example:
+
+```text
+boxes_range 0.0119 .. 0.9867
+scoremax 0.8916
+smoke 0.892 [0.559, 0.452, 0.880, 0.428]
+```
+
+## Board delegate gate
+
+Board: `nxp-patrol-001` / `imx8mp-lpddr4-evk` / `100.79.145.85`
+
+Delegate: `/usr/lib/libvx_delegate.so`
+
+```text
+input serving_default_images:0 [1, 320, 320, 3] int8 (0.003921568859368563, -128)
+output StatefulPartitionedCall:0 [1, 6, 2100] int8 (0.011887794360518456, -111)
+zero_invoke 0: 35.8776s
+zero_invoke 1: 0.0398s
+zero_invoke 2: 0.0426s
+image_invoke: 0.0359s
+scoremax: 0.8559
+smoke 0.856 [0.523, 0.155, 0.547, 0.297]
+```
+
+## YAML candidate
+
+Created candidate YAML:
+
+```text
+/home/jinhyuk2me/lk_ws/ai/vision/domain-plugins/lk_vision_patroller/examples/pipeline_board_nxp_3cam_v2_dual_front.sf_balanced_v1.yaml
+```
+
+Live deployment was not changed.

revisions/v1/tflite/labels.txt

@@ -0,0 +1,2 @@
+fire
+smoke