Upload folder using huggingface_hub
Browse files- .gitattributes +17 -0
- BoxF1_curve.png +3 -0
- BoxPR_curve.png +0 -0
- BoxP_curve.png +0 -0
- BoxR_curve.png +3 -0
- args.yaml +106 -0
- confusion_matrix.png +3 -0
- confusion_matrix_normalized.png +0 -0
- gd_000048_WhatsApp-Video-2022-07-11-at-1-1050_jpg.rf.654dffa8e581f14a1ecf7fcf83649afe.jpg +0 -0
- labels.jpg +3 -0
- results.csv +101 -0
- results.png +3 -0
- train_batch0.jpg +3 -0
- train_batch1.jpg +3 -0
- train_batch2.jpg +3 -0
- train_batch31770.jpg +3 -0
- train_batch31771.jpg +3 -0
- train_batch31772.jpg +3 -0
- val_batch0_labels.jpg +3 -0
- val_batch0_pred.jpg +3 -0
- val_batch1_labels.jpg +3 -0
- val_batch1_pred.jpg +3 -0
- val_batch2_labels.jpg +3 -0
- val_batch2_pred.jpg +3 -0
- weights/best.pt +3 -0
- weights/epoch0.pt +3 -0
- weights/epoch10.pt +3 -0
- weights/epoch20.pt +3 -0
- weights/epoch30.pt +3 -0
- weights/epoch40.pt +3 -0
- weights/epoch50.pt +3 -0
- weights/epoch60.pt +3 -0
- weights/epoch70.pt +3 -0
- weights/epoch80.pt +3 -0
- weights/epoch90.pt +3 -0
- weights/last.pt +3 -0
.gitattributes
CHANGED
|
@@ -33,3 +33,20 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
|
|
| 33 |
*.zip filter=lfs diff=lfs merge=lfs -text
|
| 34 |
*.zst filter=lfs diff=lfs merge=lfs -text
|
| 35 |
*tfevents* filter=lfs diff=lfs merge=lfs -text
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 33 |
*.zip filter=lfs diff=lfs merge=lfs -text
|
| 34 |
*.zst filter=lfs diff=lfs merge=lfs -text
|
| 35 |
*tfevents* filter=lfs diff=lfs merge=lfs -text
|
| 36 |
+
BoxF1_curve.png filter=lfs diff=lfs merge=lfs -text
|
| 37 |
+
BoxR_curve.png filter=lfs diff=lfs merge=lfs -text
|
| 38 |
+
confusion_matrix.png filter=lfs diff=lfs merge=lfs -text
|
| 39 |
+
labels.jpg filter=lfs diff=lfs merge=lfs -text
|
| 40 |
+
results.png filter=lfs diff=lfs merge=lfs -text
|
| 41 |
+
train_batch0.jpg filter=lfs diff=lfs merge=lfs -text
|
| 42 |
+
train_batch1.jpg filter=lfs diff=lfs merge=lfs -text
|
| 43 |
+
train_batch2.jpg filter=lfs diff=lfs merge=lfs -text
|
| 44 |
+
train_batch31770.jpg filter=lfs diff=lfs merge=lfs -text
|
| 45 |
+
train_batch31771.jpg filter=lfs diff=lfs merge=lfs -text
|
| 46 |
+
train_batch31772.jpg filter=lfs diff=lfs merge=lfs -text
|
| 47 |
+
val_batch0_labels.jpg filter=lfs diff=lfs merge=lfs -text
|
| 48 |
+
val_batch0_pred.jpg filter=lfs diff=lfs merge=lfs -text
|
| 49 |
+
val_batch1_labels.jpg filter=lfs diff=lfs merge=lfs -text
|
| 50 |
+
val_batch1_pred.jpg filter=lfs diff=lfs merge=lfs -text
|
| 51 |
+
val_batch2_labels.jpg filter=lfs diff=lfs merge=lfs -text
|
| 52 |
+
val_batch2_pred.jpg filter=lfs diff=lfs merge=lfs -text
|
BoxF1_curve.png
ADDED
|
Git LFS Details
|
BoxPR_curve.png
ADDED
|
BoxP_curve.png
ADDED
|
BoxR_curve.png
ADDED
|
Git LFS Details
|
args.yaml
ADDED
|
@@ -0,0 +1,106 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
task: detect
|
| 2 |
+
mode: train
|
| 3 |
+
model: yolov8n.pt
|
| 4 |
+
data: /kaggle/working/shuffled_dataset/data.yaml
|
| 5 |
+
epochs: 100
|
| 6 |
+
time: null
|
| 7 |
+
patience: 50
|
| 8 |
+
batch: 16
|
| 9 |
+
imgsz: 640
|
| 10 |
+
save: true
|
| 11 |
+
save_period: 10
|
| 12 |
+
cache: false
|
| 13 |
+
device: null
|
| 14 |
+
workers: 8
|
| 15 |
+
project: null
|
| 16 |
+
name: yolov8n_weapon_detection_augmented
|
| 17 |
+
exist_ok: true
|
| 18 |
+
pretrained: true
|
| 19 |
+
optimizer: auto
|
| 20 |
+
verbose: true
|
| 21 |
+
seed: 0
|
| 22 |
+
deterministic: true
|
| 23 |
+
single_cls: false
|
| 24 |
+
rect: false
|
| 25 |
+
cos_lr: false
|
| 26 |
+
close_mosaic: 10
|
| 27 |
+
resume: false
|
| 28 |
+
amp: true
|
| 29 |
+
fraction: 1.0
|
| 30 |
+
profile: false
|
| 31 |
+
freeze: null
|
| 32 |
+
multi_scale: false
|
| 33 |
+
compile: false
|
| 34 |
+
overlap_mask: true
|
| 35 |
+
mask_ratio: 4
|
| 36 |
+
dropout: 0.2
|
| 37 |
+
val: true
|
| 38 |
+
split: val
|
| 39 |
+
save_json: false
|
| 40 |
+
conf: null
|
| 41 |
+
iou: 0.7
|
| 42 |
+
max_det: 300
|
| 43 |
+
half: false
|
| 44 |
+
dnn: false
|
| 45 |
+
plots: true
|
| 46 |
+
source: null
|
| 47 |
+
vid_stride: 1
|
| 48 |
+
stream_buffer: false
|
| 49 |
+
visualize: false
|
| 50 |
+
augment: false
|
| 51 |
+
agnostic_nms: false
|
| 52 |
+
classes: null
|
| 53 |
+
retina_masks: false
|
| 54 |
+
embed: null
|
| 55 |
+
show: false
|
| 56 |
+
save_frames: false
|
| 57 |
+
save_txt: false
|
| 58 |
+
save_conf: false
|
| 59 |
+
save_crop: false
|
| 60 |
+
show_labels: true
|
| 61 |
+
show_conf: true
|
| 62 |
+
show_boxes: true
|
| 63 |
+
line_width: null
|
| 64 |
+
format: torchscript
|
| 65 |
+
keras: false
|
| 66 |
+
optimize: false
|
| 67 |
+
int8: false
|
| 68 |
+
dynamic: false
|
| 69 |
+
simplify: true
|
| 70 |
+
opset: null
|
| 71 |
+
workspace: null
|
| 72 |
+
nms: false
|
| 73 |
+
lr0: 0.01
|
| 74 |
+
lrf: 0.01
|
| 75 |
+
momentum: 0.937
|
| 76 |
+
weight_decay: 0.0005
|
| 77 |
+
warmup_epochs: 3.0
|
| 78 |
+
warmup_momentum: 0.8
|
| 79 |
+
warmup_bias_lr: 0.1
|
| 80 |
+
box: 7.5
|
| 81 |
+
cls: 0.5
|
| 82 |
+
dfl: 1.5
|
| 83 |
+
pose: 12.0
|
| 84 |
+
kobj: 1.0
|
| 85 |
+
nbs: 64
|
| 86 |
+
hsv_h: 0.015
|
| 87 |
+
hsv_s: 0.7
|
| 88 |
+
hsv_v: 0.4
|
| 89 |
+
degrees: 0.0
|
| 90 |
+
translate: 0.1
|
| 91 |
+
scale: 0.5
|
| 92 |
+
shear: 0.0
|
| 93 |
+
perspective: 0.0
|
| 94 |
+
flipud: 0.0
|
| 95 |
+
fliplr: 0.5
|
| 96 |
+
bgr: 0.0
|
| 97 |
+
mosaic: 1.0
|
| 98 |
+
mixup: 0.0
|
| 99 |
+
cutmix: 0.0
|
| 100 |
+
copy_paste: 0.0
|
| 101 |
+
copy_paste_mode: flip
|
| 102 |
+
auto_augment: randaugment
|
| 103 |
+
erasing: 0.4
|
| 104 |
+
cfg: null
|
| 105 |
+
tracker: botsort.yaml
|
| 106 |
+
save_dir: /kaggle/working/runs/detect/yolov8n_weapon_detection_augmented
|
confusion_matrix.png
ADDED
|
Git LFS Details
|
confusion_matrix_normalized.png
ADDED
|
gd_000048_WhatsApp-Video-2022-07-11-at-1-1050_jpg.rf.654dffa8e581f14a1ecf7fcf83649afe.jpg
ADDED
|
labels.jpg
ADDED
|
Git LFS Details
|
results.csv
ADDED
|
@@ -0,0 +1,101 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
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
|
| 2 |
+
1,83.4809,1.32243,1.89755,1.56841,0.49797,0.39306,0.39463,0.16752,1.87822,2.15123,2.15355,0.000664778,0.000664778,0.000664778
|
| 3 |
+
2,160.448,1.48147,1.73685,1.69037,0.50347,0.45192,0.41838,0.18866,1.8877,2.13527,2.32633,0.00131826,0.00131826,0.00131826
|
| 4 |
+
3,238.368,1.50453,1.69483,1.6985,0.58846,0.46595,0.51504,0.26686,1.82045,1.79146,2.10868,0.00195855,0.00195855,0.00195855
|
| 5 |
+
4,315.159,1.43537,1.61236,1.66118,0.62532,0.51792,0.54967,0.28394,1.7417,1.75936,2.04661,0.0019406,0.0019406,0.0019406
|
| 6 |
+
5,392.314,1.38211,1.51,1.60985,0.72351,0.56495,0.63951,0.37027,1.59257,1.46251,1.92266,0.0019208,0.0019208,0.0019208
|
| 7 |
+
6,468.121,1.3352,1.45252,1.57765,0.6781,0.55555,0.6329,0.3713,1.52921,1.42559,1.87123,0.001901,0.001901,0.001901
|
| 8 |
+
7,544.173,1.3136,1.40337,1.5562,0.6823,0.59462,0.66429,0.38348,1.50902,1.49516,1.7996,0.0018812,0.0018812,0.0018812
|
| 9 |
+
8,620.392,1.28646,1.35524,1.53299,0.76639,0.59148,0.69533,0.40843,1.47066,1.31802,1.78556,0.0018614,0.0018614,0.0018614
|
| 10 |
+
9,696.774,1.25215,1.31141,1.51415,0.69866,0.6335,0.71186,0.43724,1.37387,1.27169,1.68479,0.0018416,0.0018416,0.0018416
|
| 11 |
+
10,772.736,1.2404,1.28676,1.49488,0.75958,0.63684,0.74208,0.45511,1.35549,1.20436,1.67906,0.0018218,0.0018218,0.0018218
|
| 12 |
+
11,848.096,1.20823,1.22979,1.46602,0.7514,0.63382,0.73541,0.45345,1.34964,1.15025,1.64558,0.001802,0.001802,0.001802
|
| 13 |
+
12,924.101,1.19923,1.21253,1.46199,0.78507,0.64013,0.74698,0.47085,1.32657,1.16172,1.6723,0.0017822,0.0017822,0.0017822
|
| 14 |
+
13,999.688,1.17165,1.17196,1.44014,0.78013,0.70127,0.786,0.4965,1.31607,1.09462,1.63721,0.0017624,0.0017624,0.0017624
|
| 15 |
+
14,1076.09,1.16604,1.15193,1.43184,0.7842,0.70808,0.78778,0.5042,1.26829,1.03765,1.57003,0.0017426,0.0017426,0.0017426
|
| 16 |
+
15,1152.22,1.15901,1.12223,1.42292,0.77467,0.71414,0.78994,0.49564,1.27995,1.06807,1.57586,0.0017228,0.0017228,0.0017228
|
| 17 |
+
16,1227.81,1.13734,1.1026,1.41216,0.83204,0.71005,0.80887,0.51593,1.25526,1.01106,1.55997,0.001703,0.001703,0.001703
|
| 18 |
+
17,1303.72,1.13313,1.09353,1.4002,0.81985,0.69205,0.78477,0.49622,1.30637,1.01092,1.6162,0.0016832,0.0016832,0.0016832
|
| 19 |
+
18,1380.07,1.11271,1.07377,1.39489,0.82617,0.70661,0.79522,0.50399,1.22983,1.04066,1.54857,0.0016634,0.0016634,0.0016634
|
| 20 |
+
19,1456.34,1.11259,1.08044,1.39506,0.79939,0.72957,0.81088,0.52185,1.22384,0.98461,1.54906,0.0016436,0.0016436,0.0016436
|
| 21 |
+
20,1532.3,1.11182,1.06749,1.39346,0.82373,0.71781,0.81051,0.52512,1.22605,0.96719,1.54293,0.0016238,0.0016238,0.0016238
|
| 22 |
+
21,1608.25,1.09021,1.02841,1.36883,0.80563,0.71109,0.80747,0.51764,1.23238,0.97029,1.54052,0.001604,0.001604,0.001604
|
| 23 |
+
22,1685.14,1.07329,1.01704,1.3678,0.83889,0.74635,0.83026,0.53787,1.23247,0.94455,1.54196,0.0015842,0.0015842,0.0015842
|
| 24 |
+
23,1762.32,1.073,1.00264,1.35476,0.84518,0.72136,0.81313,0.52938,1.24334,0.93984,1.54975,0.0015644,0.0015644,0.0015644
|
| 25 |
+
24,1838.7,1.05633,0.98427,1.34247,0.85194,0.7281,0.83519,0.5385,1.24698,0.92455,1.54363,0.0015446,0.0015446,0.0015446
|
| 26 |
+
25,1915.59,1.05498,0.97891,1.33754,0.81122,0.74636,0.84474,0.54197,1.21501,0.89467,1.51871,0.0015248,0.0015248,0.0015248
|
| 27 |
+
26,1991.78,1.04776,0.96065,1.33526,0.8525,0.74104,0.8437,0.55655,1.17324,0.88237,1.48212,0.001505,0.001505,0.001505
|
| 28 |
+
27,2067.76,1.04738,0.95168,1.33692,0.82209,0.75029,0.83122,0.54437,1.23331,0.88338,1.53808,0.0014852,0.0014852,0.0014852
|
| 29 |
+
28,2144.15,1.03294,0.93561,1.32778,0.85482,0.7542,0.86143,0.56457,1.16927,0.84035,1.48812,0.0014654,0.0014654,0.0014654
|
| 30 |
+
29,2220.18,1.02102,0.91744,1.31885,0.86743,0.72172,0.84851,0.54389,1.24565,0.86505,1.54413,0.0014456,0.0014456,0.0014456
|
| 31 |
+
30,2297.24,1.01914,0.91711,1.31509,0.82479,0.78555,0.85677,0.55105,1.21148,0.84542,1.51348,0.0014258,0.0014258,0.0014258
|
| 32 |
+
31,2372.72,1.00644,0.90978,1.31037,0.87833,0.73562,0.85434,0.56388,1.16568,0.84823,1.47995,0.001406,0.001406,0.001406
|
| 33 |
+
32,2448.61,1.00688,0.8911,1.30655,0.83024,0.77324,0.8555,0.56126,1.17232,0.83939,1.50322,0.0013862,0.0013862,0.0013862
|
| 34 |
+
33,2524.8,1.00298,0.88686,1.30121,0.82967,0.75252,0.84784,0.55326,1.19457,0.84299,1.50502,0.0013664,0.0013664,0.0013664
|
| 35 |
+
34,2600.26,0.99251,0.87124,1.29182,0.82905,0.76304,0.8523,0.55558,1.1945,0.8222,1.50915,0.0013466,0.0013466,0.0013466
|
| 36 |
+
35,2675.72,1.00036,0.87819,1.29921,0.84298,0.75449,0.85081,0.55829,1.15535,0.83338,1.47801,0.0013268,0.0013268,0.0013268
|
| 37 |
+
36,2751.16,0.97281,0.84759,1.27907,0.85738,0.74692,0.85543,0.56349,1.17129,0.82797,1.50013,0.001307,0.001307,0.001307
|
| 38 |
+
37,2827.28,0.98573,0.8562,1.28889,0.82437,0.78611,0.86536,0.57051,1.17025,0.82332,1.48554,0.0012872,0.0012872,0.0012872
|
| 39 |
+
38,2903.03,0.97768,0.84796,1.28225,0.85634,0.77604,0.86693,0.57037,1.16422,0.81221,1.47786,0.0012674,0.0012674,0.0012674
|
| 40 |
+
39,2979.23,0.96809,0.83038,1.27445,0.85904,0.76095,0.86152,0.57123,1.17086,0.80466,1.48488,0.0012476,0.0012476,0.0012476
|
| 41 |
+
40,3055.38,0.95386,0.81902,1.2584,0.86122,0.76788,0.85913,0.56592,1.17869,0.80525,1.48356,0.0012278,0.0012278,0.0012278
|
| 42 |
+
41,3132.26,0.95211,0.8195,1.26406,0.86395,0.79997,0.877,0.57891,1.15836,0.78564,1.4631,0.001208,0.001208,0.001208
|
| 43 |
+
42,3208.83,0.94174,0.80828,1.2561,0.85589,0.78811,0.87162,0.57546,1.17503,0.78807,1.48299,0.0011882,0.0011882,0.0011882
|
| 44 |
+
43,3285.19,0.94231,0.79458,1.2533,0.84875,0.79563,0.88081,0.58653,1.13426,0.77393,1.44402,0.0011684,0.0011684,0.0011684
|
| 45 |
+
44,3360.94,0.9376,0.797,1.25351,0.83902,0.78208,0.85867,0.57262,1.15288,0.7967,1.47083,0.0011486,0.0011486,0.0011486
|
| 46 |
+
45,3437.35,0.92864,0.78442,1.24806,0.82918,0.80851,0.86999,0.58011,1.16512,0.79005,1.47305,0.0011288,0.0011288,0.0011288
|
| 47 |
+
46,3513.57,0.91316,0.77042,1.24099,0.83989,0.79899,0.86791,0.5798,1.17064,0.75587,1.48435,0.001109,0.001109,0.001109
|
| 48 |
+
47,3588.86,0.9164,0.77039,1.23522,0.85242,0.80235,0.88472,0.58857,1.15897,0.75539,1.46548,0.0010892,0.0010892,0.0010892
|
| 49 |
+
48,3664.58,0.90927,0.75773,1.23478,0.85361,0.79843,0.8712,0.58145,1.16556,0.76288,1.47681,0.0010694,0.0010694,0.0010694
|
| 50 |
+
49,3740.04,0.91273,0.75162,1.23254,0.8799,0.78499,0.88132,0.57846,1.16046,0.75211,1.47162,0.0010496,0.0010496,0.0010496
|
| 51 |
+
50,3815.05,0.90151,0.74593,1.22619,0.86937,0.81075,0.88711,0.58577,1.15774,0.74645,1.46406,0.0010298,0.0010298,0.0010298
|
| 52 |
+
51,3890.31,0.88951,0.73785,1.22248,0.84715,0.81411,0.8833,0.58544,1.16424,0.74876,1.48246,0.00101,0.00101,0.00101
|
| 53 |
+
52,3965.82,0.89177,0.73953,1.22152,0.85769,0.79639,0.87783,0.58942,1.16183,0.76007,1.48783,0.0009902,0.0009902,0.0009902
|
| 54 |
+
53,4040.53,0.88637,0.72634,1.21428,0.84944,0.79339,0.87274,0.58367,1.16083,0.73346,1.47386,0.0009704,0.0009704,0.0009704
|
| 55 |
+
54,4116.77,0.87511,0.70987,1.20925,0.86529,0.78723,0.87161,0.58943,1.16071,0.74694,1.47458,0.0009506,0.0009506,0.0009506
|
| 56 |
+
55,4192.03,0.86875,0.71218,1.20979,0.86897,0.79089,0.87403,0.58736,1.17146,0.7299,1.47591,0.0009308,0.0009308,0.0009308
|
| 57 |
+
56,4266.52,0.8702,0.71508,1.20896,0.87827,0.78667,0.88096,0.58719,1.16274,0.74985,1.4734,0.000911,0.000911,0.000911
|
| 58 |
+
57,4341.43,0.86,0.69796,1.19636,0.82773,0.81299,0.87331,0.58739,1.15817,0.73597,1.47526,0.0008912,0.0008912,0.0008912
|
| 59 |
+
58,4417,0.8497,0.68827,1.19516,0.85348,0.8023,0.88358,0.59418,1.15341,0.73269,1.46879,0.0008714,0.0008714,0.0008714
|
| 60 |
+
59,4491.95,0.85086,0.69298,1.19434,0.87121,0.79563,0.88811,0.59865,1.14191,0.72408,1.44975,0.0008516,0.0008516,0.0008516
|
| 61 |
+
60,4567,0.84145,0.66988,1.18799,0.84401,0.82363,0.88961,0.60219,1.14671,0.70077,1.46399,0.0008318,0.0008318,0.0008318
|
| 62 |
+
61,4641.99,0.83261,0.67146,1.1832,0.8803,0.80739,0.89069,0.59565,1.17385,0.71379,1.48845,0.000812,0.000812,0.000812
|
| 63 |
+
62,4716.77,0.83815,0.67839,1.18471,0.85637,0.8079,0.88324,0.59574,1.16375,0.73579,1.47005,0.0007922,0.0007922,0.0007922
|
| 64 |
+
63,4791.99,0.84029,0.66805,1.17894,0.85262,0.80983,0.88514,0.59656,1.14992,0.73511,1.46928,0.0007724,0.0007724,0.0007724
|
| 65 |
+
64,4866.86,0.82642,0.66159,1.17188,0.86042,0.81131,0.8872,0.5998,1.14058,0.74017,1.4584,0.0007526,0.0007526,0.0007526
|
| 66 |
+
65,4941.7,0.82046,0.6597,1.17632,0.8807,0.78499,0.87891,0.5972,1.15383,0.73922,1.47466,0.0007328,0.0007328,0.0007328
|
| 67 |
+
66,5017.12,0.8221,0.65374,1.16844,0.86967,0.79507,0.87757,0.59084,1.16024,0.74188,1.47538,0.000713,0.000713,0.000713
|
| 68 |
+
67,5091.2,0.81684,0.64764,1.17229,0.87797,0.78779,0.8873,0.60102,1.14739,0.73103,1.46703,0.0006932,0.0006932,0.0006932
|
| 69 |
+
68,5166.96,0.80733,0.64108,1.16521,0.84698,0.82419,0.88957,0.60175,1.15163,0.72118,1.47764,0.0006734,0.0006734,0.0006734
|
| 70 |
+
69,5242.01,0.79858,0.63185,1.16206,0.88895,0.80907,0.88719,0.60045,1.14932,0.72797,1.46665,0.0006536,0.0006536,0.0006536
|
| 71 |
+
70,5316.98,0.79526,0.62856,1.15514,0.87628,0.80901,0.88791,0.59858,1.14432,0.71775,1.47375,0.0006338,0.0006338,0.0006338
|
| 72 |
+
71,5392.42,0.79228,0.62079,1.1528,0.88262,0.79575,0.88726,0.60018,1.15271,0.72856,1.48048,0.000614,0.000614,0.000614
|
| 73 |
+
72,5467.93,0.79736,0.62879,1.16116,0.89555,0.77772,0.88374,0.59625,1.14471,0.72057,1.47187,0.0005942,0.0005942,0.0005942
|
| 74 |
+
73,5543.62,0.78915,0.61094,1.15496,0.88534,0.78686,0.88625,0.59818,1.15638,0.71947,1.47765,0.0005744,0.0005744,0.0005744
|
| 75 |
+
74,5618.64,0.78527,0.61805,1.15186,0.90292,0.78108,0.88119,0.60156,1.14467,0.71264,1.46769,0.0005546,0.0005546,0.0005546
|
| 76 |
+
75,5694.42,0.78041,0.60626,1.14658,0.85172,0.82083,0.88126,0.59933,1.14424,0.71419,1.4742,0.0005348,0.0005348,0.0005348
|
| 77 |
+
76,5771.08,0.77573,0.5996,1.13946,0.86503,0.78945,0.87558,0.59758,1.14619,0.7167,1.48046,0.000515,0.000515,0.000515
|
| 78 |
+
77,5846.65,0.77019,0.60054,1.14029,0.88206,0.80235,0.88398,0.60272,1.15138,0.71226,1.47058,0.0004952,0.0004952,0.0004952
|
| 79 |
+
78,5922.23,0.76075,0.59502,1.13583,0.8669,0.81971,0.88912,0.60131,1.15734,0.70542,1.48043,0.0004754,0.0004754,0.0004754
|
| 80 |
+
79,5998.03,0.76372,0.60119,1.13878,0.86713,0.81747,0.8899,0.60287,1.16719,0.7082,1.49124,0.0004556,0.0004556,0.0004556
|
| 81 |
+
80,6073.46,0.75124,0.58682,1.13214,0.8922,0.78782,0.88601,0.59654,1.16519,0.72381,1.4955,0.0004358,0.0004358,0.0004358
|
| 82 |
+
81,6148.56,0.75298,0.59386,1.13446,0.88542,0.80911,0.8861,0.59697,1.16097,0.71056,1.49228,0.000416,0.000416,0.000416
|
| 83 |
+
82,6224.03,0.74995,0.58418,1.1262,0.85398,0.82923,0.88361,0.59722,1.16415,0.71695,1.4957,0.0003962,0.0003962,0.0003962
|
| 84 |
+
83,6298.8,0.73614,0.56624,1.11904,0.85063,0.84826,0.89042,0.60071,1.1601,0.7108,1.49983,0.0003764,0.0003764,0.0003764
|
| 85 |
+
84,6374.56,0.73835,0.57647,1.12623,0.85632,0.83483,0.88995,0.60219,1.15968,0.71282,1.49188,0.0003566,0.0003566,0.0003566
|
| 86 |
+
85,6449.29,0.73432,0.56303,1.11887,0.86152,0.82906,0.89158,0.59847,1.16739,0.71424,1.49756,0.0003368,0.0003368,0.0003368
|
| 87 |
+
86,6524.73,0.7316,0.56888,1.11886,0.85965,0.81859,0.88456,0.59725,1.16697,0.71834,1.50456,0.000317,0.000317,0.000317
|
| 88 |
+
87,6600.4,0.72222,0.55869,1.11428,0.87516,0.80462,0.88202,0.59836,1.15644,0.70784,1.48583,0.0002972,0.0002972,0.0002972
|
| 89 |
+
88,6676.64,0.72652,0.56406,1.11864,0.84971,0.82938,0.8844,0.59782,1.1522,0.71257,1.47856,0.0002774,0.0002774,0.0002774
|
| 90 |
+
89,6751.72,0.71824,0.56045,1.11179,0.85065,0.82277,0.88494,0.60004,1.16426,0.71726,1.49276,0.0002576,0.0002576,0.0002576
|
| 91 |
+
90,6827.62,0.71337,0.55053,1.10592,0.85966,0.79568,0.87781,0.59684,1.16874,0.71431,1.50654,0.0002378,0.0002378,0.0002378
|
| 92 |
+
91,6902.18,0.60207,0.3876,1.05101,0.87521,0.78947,0.87325,0.5902,1.16542,0.73189,1.51,0.000218,0.000218,0.000218
|
| 93 |
+
92,6974.77,0.58068,0.36304,1.03729,0.86386,0.80067,0.87595,0.59286,1.16708,0.72419,1.51445,0.0001982,0.0001982,0.0001982
|
| 94 |
+
93,7046.77,0.56898,0.35461,1.0282,0.84207,0.81523,0.87532,0.59215,1.16661,0.72926,1.52303,0.0001784,0.0001784,0.0001784
|
| 95 |
+
94,7118.48,0.56523,0.34734,1.02294,0.88354,0.78275,0.87755,0.5929,1.16403,0.72459,1.52939,0.0001586,0.0001586,0.0001586
|
| 96 |
+
95,7190.59,0.55585,0.34893,1.02367,0.89019,0.78074,0.87548,0.5927,1.16866,0.72309,1.53389,0.0001388,0.0001388,0.0001388
|
| 97 |
+
96,7262.48,0.55101,0.34068,1.0163,0.89048,0.79215,0.87889,0.5958,1.16611,0.72204,1.53809,0.000119,0.000119,0.000119
|
| 98 |
+
97,7335.11,0.53967,0.33464,1.00937,0.87828,0.79996,0.87636,0.59357,1.16095,0.71825,1.53561,9.92e-05,9.92e-05,9.92e-05
|
| 99 |
+
98,7406.83,0.54445,0.33317,1.00934,0.88977,0.79675,0.87947,0.5954,1.16044,0.71554,1.53417,7.94e-05,7.94e-05,7.94e-05
|
| 100 |
+
99,7478.55,0.53152,0.33104,1.00702,0.88282,0.80403,0.87916,0.59663,1.16033,0.7166,1.53633,5.96e-05,5.96e-05,5.96e-05
|
| 101 |
+
100,7550.98,0.52894,0.32853,1.00303,0.87757,0.80668,0.87705,0.59418,1.16229,0.71517,1.54402,3.98e-05,3.98e-05,3.98e-05
|
results.png
ADDED
|
Git LFS Details
|
train_batch0.jpg
ADDED
|
Git LFS Details
|
train_batch1.jpg
ADDED
|
Git LFS Details
|
train_batch2.jpg
ADDED
|
Git LFS Details
|
train_batch31770.jpg
ADDED
|
Git LFS Details
|
train_batch31771.jpg
ADDED
|
Git LFS Details
|
train_batch31772.jpg
ADDED
|
Git LFS Details
|
val_batch0_labels.jpg
ADDED
|
Git LFS Details
|
val_batch0_pred.jpg
ADDED
|
Git LFS Details
|
val_batch1_labels.jpg
ADDED
|
Git LFS Details
|
val_batch1_pred.jpg
ADDED
|
Git LFS Details
|
val_batch2_labels.jpg
ADDED
|
Git LFS Details
|
val_batch2_pred.jpg
ADDED
|
Git LFS Details
|
weights/best.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:3ff881c42deb41a1d7d9f1a98ad884c378b06839d56e2757e523f089aa521e12
|
| 3 |
+
size 6238307
|
weights/epoch0.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:4190a39f9ecdd9ff0f577c46049d1c1b722c28a74dc0130864256dc1c762ac45
|
| 3 |
+
size 18449814
|
weights/epoch10.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:0611b392cb0882c10f0250c381fe6d38f912f4201f4b10205ccf499c25bd3232
|
| 3 |
+
size 18450774
|
weights/epoch20.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:085ad90bed6563a10ea65c610c3a86e644b0a3b34952e7272446e4f71f4465f5
|
| 3 |
+
size 18452054
|
weights/epoch30.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:388a918455f6efd25036ab4e882c6bc2180aba71ccca224457f546f4b4d742f6
|
| 3 |
+
size 18453334
|
weights/epoch40.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:b9c4f20b06b4247384798657cafa225d67fea5dfe6ff6c7c46733e52226d1913
|
| 3 |
+
size 18454614
|
weights/epoch50.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:222436e367e06f139665db843af9674e211e1c67a1ebaaf8b3ec3b208381222c
|
| 3 |
+
size 18455894
|
weights/epoch60.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:1c3200f5ed5dea32e19afc982ca7b92f84d0a7d958702b40aa312e0e38600581
|
| 3 |
+
size 18457174
|
weights/epoch70.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:a3ecec4ab7f402cd7b6fcd2fe4f55de3cab14b24da81ac1548c4a77115ee3a88
|
| 3 |
+
size 18458454
|
weights/epoch80.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:6a91a5cc33d60b9c2f224170b0c57789e13428b74d44b9adb06c6e6aaddc5043
|
| 3 |
+
size 18459734
|
weights/epoch90.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:2900ffe785cc371e05b759449d8bab0cad6e78fc0e4ba64891ad92f5d6706ed5
|
| 3 |
+
size 18461014
|
weights/last.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:63e1450b632183f2141ce248d49d94f00b6713c70a34eced893bb7df49e1bf47
|
| 3 |
+
size 6238307
|