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Browse files- train/yolo11n_seed42/BoxF1_curve.png +3 -0
- train/yolo11n_seed42/BoxPR_curve.png +3 -0
- train/yolo11n_seed42/BoxP_curve.png +3 -0
- train/yolo11n_seed42/BoxR_curve.png +3 -0
- train/yolo11n_seed42/args.yaml +122 -0
- train/yolo11n_seed42/confusion_matrix.png +3 -0
- train/yolo11n_seed42/confusion_matrix_normalized.png +3 -0
- train/yolo11n_seed42/labels.jpg +3 -0
- train/yolo11n_seed42/results.csv +63 -0
- train/yolo11n_seed42/results.png +3 -0
- train/yolo11n_seed42/train_batch0.jpg +3 -0
- train/yolo11n_seed42/train_batch1.jpg +3 -0
- train/yolo11n_seed42/train_batch2.jpg +3 -0
- train/yolo11n_seed42/val_batch0_labels.jpg +3 -0
- train/yolo11n_seed42/val_batch0_pred.jpg +3 -0
- train/yolo11n_seed42/val_batch1_labels.jpg +3 -0
- train/yolo11n_seed42/val_batch1_pred.jpg +3 -0
- train/yolo11n_seed42/val_batch2_labels.jpg +3 -0
- train/yolo11n_seed42/val_batch2_pred.jpg +3 -0
- train/yolo11n_seed43/BoxF1_curve.png +3 -0
- train/yolo11n_seed43/BoxPR_curve.png +3 -0
- train/yolo11n_seed43/BoxP_curve.png +3 -0
- train/yolo11n_seed43/BoxR_curve.png +3 -0
- train/yolo11n_seed43/args.yaml +122 -0
- train/yolo11n_seed43/confusion_matrix.png +3 -0
- train/yolo11n_seed43/confusion_matrix_normalized.png +3 -0
- train/yolo11n_seed43/labels.jpg +3 -0
- train/yolo11n_seed43/results.csv +65 -0
- train/yolo11n_seed43/results.png +3 -0
- train/yolo11n_seed43/train_batch0.jpg +3 -0
- train/yolo11n_seed43/train_batch1.jpg +3 -0
- train/yolo11n_seed43/train_batch2.jpg +3 -0
- train/yolo11n_seed43/val_batch0_labels.jpg +3 -0
- train/yolo11n_seed43/val_batch0_pred.jpg +3 -0
- train/yolo11n_seed43/val_batch1_labels.jpg +3 -0
- train/yolo11n_seed43/val_batch1_pred.jpg +3 -0
- train/yolo11n_seed43/val_batch2_labels.jpg +3 -0
- train/yolo11n_seed43/val_batch2_pred.jpg +3 -0
- train/yolo11n_seed44/args.yaml +122 -0
- train/yolo11n_seed44/results.csv +62 -0
- train/yolo11s_seed42/BoxF1_curve.png +3 -0
- train/yolo11s_seed42/BoxPR_curve.png +3 -0
- train/yolo11s_seed42/BoxP_curve.png +3 -0
- train/yolo11s_seed42/BoxR_curve.png +3 -0
- train/yolo11s_seed42/args.yaml +122 -0
- train/yolo11s_seed42/confusion_matrix.png +3 -0
- train/yolo11s_seed42/confusion_matrix_normalized.png +3 -0
- train/yolo11s_seed42/results.csv +54 -0
- train/yolo11s_seed42/results.png +3 -0
- train/yolo11s_seed42/val_batch2_labels.jpg +3 -0
train/yolo11n_seed42/BoxF1_curve.png
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Git LFS Details
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train/yolo11n_seed42/BoxPR_curve.png
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Git LFS Details
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train/yolo11n_seed42/BoxP_curve.png
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Git LFS Details
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train/yolo11n_seed42/BoxR_curve.png
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Git LFS Details
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train/yolo11n_seed42/args.yaml
ADDED
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| 1 |
+
task: detect
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| 2 |
+
mode: train
|
| 3 |
+
model: yolo11n.pt
|
| 4 |
+
data: /marimo/data/datasets/varroa_yolo/varroa.yaml
|
| 5 |
+
epochs: 100
|
| 6 |
+
time: null
|
| 7 |
+
patience: 20
|
| 8 |
+
batch: 16
|
| 9 |
+
imgsz: 640
|
| 10 |
+
save: true
|
| 11 |
+
save_period: -1
|
| 12 |
+
cache: false
|
| 13 |
+
device: '0'
|
| 14 |
+
workers: 4
|
| 15 |
+
project: /marimo/yolo_code/runs/detect/yolo_related/runs/train
|
| 16 |
+
name: yolo11n_seed42
|
| 17 |
+
exist_ok: false
|
| 18 |
+
pretrained: true
|
| 19 |
+
optimizer: auto
|
| 20 |
+
verbose: true
|
| 21 |
+
seed: 42
|
| 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: 0.0
|
| 33 |
+
compile: false
|
| 34 |
+
overlap_mask: true
|
| 35 |
+
mask_ratio: 4
|
| 36 |
+
dropout: 0.0
|
| 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 |
+
end2end: null
|
| 47 |
+
source: null
|
| 48 |
+
vid_stride: 1
|
| 49 |
+
stream_buffer: false
|
| 50 |
+
visualize: false
|
| 51 |
+
augment: false
|
| 52 |
+
agnostic_nms: false
|
| 53 |
+
classes: null
|
| 54 |
+
retina_masks: false
|
| 55 |
+
embed: null
|
| 56 |
+
show: false
|
| 57 |
+
save_frames: false
|
| 58 |
+
save_txt: false
|
| 59 |
+
save_conf: false
|
| 60 |
+
save_crop: false
|
| 61 |
+
show_labels: true
|
| 62 |
+
show_conf: true
|
| 63 |
+
show_boxes: true
|
| 64 |
+
line_width: null
|
| 65 |
+
format: torchscript
|
| 66 |
+
keras: false
|
| 67 |
+
optimize: false
|
| 68 |
+
int8: false
|
| 69 |
+
dynamic: false
|
| 70 |
+
simplify: true
|
| 71 |
+
opset: null
|
| 72 |
+
workspace: null
|
| 73 |
+
nms: false
|
| 74 |
+
lr0: 0.01
|
| 75 |
+
lrf: 0.01
|
| 76 |
+
momentum: 0.937
|
| 77 |
+
weight_decay: 0.0005
|
| 78 |
+
warmup_epochs: 3.0
|
| 79 |
+
warmup_momentum: 0.8
|
| 80 |
+
warmup_bias_lr: 0.1
|
| 81 |
+
box: 7.5
|
| 82 |
+
bbox_iou_loss: ciou
|
| 83 |
+
wiou_monotonous: false
|
| 84 |
+
boundary_contrast: 0.0
|
| 85 |
+
boundary_levels: 2
|
| 86 |
+
boundary_ring: 1.0
|
| 87 |
+
boundary_samples: 16
|
| 88 |
+
boundary_tau: 0.2
|
| 89 |
+
boundary_shrinkage: 0.25
|
| 90 |
+
loc_quality: 0.0
|
| 91 |
+
loc_quality_levels: 2
|
| 92 |
+
loc_quality_sigma: 0.45
|
| 93 |
+
loc_quality_loss: mse
|
| 94 |
+
cls: 0.5
|
| 95 |
+
cls_pw: 0.0
|
| 96 |
+
dfl: 1.5
|
| 97 |
+
pose: 12.0
|
| 98 |
+
kobj: 1.0
|
| 99 |
+
rle: 1.0
|
| 100 |
+
angle: 1.0
|
| 101 |
+
nbs: 64
|
| 102 |
+
hsv_h: 0.015
|
| 103 |
+
hsv_s: 0.7
|
| 104 |
+
hsv_v: 0.4
|
| 105 |
+
degrees: 0.0
|
| 106 |
+
translate: 0.1
|
| 107 |
+
scale: 0.5
|
| 108 |
+
shear: 0.0
|
| 109 |
+
perspective: 0.0
|
| 110 |
+
flipud: 0.0
|
| 111 |
+
fliplr: 0.5
|
| 112 |
+
bgr: 0.0
|
| 113 |
+
mosaic: 1.0
|
| 114 |
+
mixup: 0.0
|
| 115 |
+
cutmix: 0.0
|
| 116 |
+
copy_paste: 0.0
|
| 117 |
+
copy_paste_mode: flip
|
| 118 |
+
auto_augment: randaugment
|
| 119 |
+
erasing: 0.4
|
| 120 |
+
cfg: null
|
| 121 |
+
tracker: botsort.yaml
|
| 122 |
+
save_dir: /marimo/yolo_code/runs/detect/yolo_related/runs/train/yolo11n_seed42
|
train/yolo11n_seed42/confusion_matrix.png
ADDED
|
Git LFS Details
|
train/yolo11n_seed42/confusion_matrix_normalized.png
ADDED
|
Git LFS Details
|
train/yolo11n_seed42/labels.jpg
ADDED
|
Git LFS Details
|
train/yolo11n_seed42/results.csv
ADDED
|
@@ -0,0 +1,63 @@
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| 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 |
+
1,18.0701,2.21022,2.70804,1.97739,0.8023,0.8,0.80689,0.28186,1.99442,1.94869,1.94227,0.000662813,0.000662813,0.000662813
|
| 3 |
+
2,27.3026,2.09096,1.7418,1.83516,0.72405,0.8073,0.77089,0.265,2.00329,2.247,1.98231,0.00131632,0.00131632,0.00131632
|
| 4 |
+
3,36.2826,2.1002,1.50591,1.85494,0.73018,0.70365,0.72308,0.22803,2.23526,1.66956,2.07252,0.00195662,0.00195662,0.00195662
|
| 5 |
+
4,45.0799,2.08357,1.4251,1.86541,0.3925,0.44964,0.35459,0.09793,2.31945,2.17538,2.05956,0.0019406,0.0019406,0.0019406
|
| 6 |
+
5,53.8039,2.07175,1.40325,1.84501,0.82129,0.83942,0.878,0.30957,2.01349,1.35461,1.91747,0.0019208,0.0019208,0.0019208
|
| 7 |
+
6,62.3139,2.06692,1.34685,1.81876,0.72983,0.74161,0.77136,0.28054,2.05034,1.28818,1.85915,0.001901,0.001901,0.001901
|
| 8 |
+
7,70.9316,2.06692,1.31265,1.81179,0.86117,0.80438,0.87081,0.31656,2.06371,1.21435,1.90345,0.0018812,0.0018812,0.0018812
|
| 9 |
+
8,79.6302,2.05407,1.29004,1.802,0.7557,0.75182,0.80589,0.30095,2.03421,1.25274,1.88224,0.0018614,0.0018614,0.0018614
|
| 10 |
+
9,88.1855,2.04713,1.28745,1.78873,0.76114,0.81606,0.84985,0.31174,2.00638,1.29524,1.95697,0.0018416,0.0018416,0.0018416
|
| 11 |
+
10,96.458,2.0429,1.26823,1.83343,0.79145,0.77372,0.84256,0.29957,2.10373,1.20085,1.95445,0.0018218,0.0018218,0.0018218
|
| 12 |
+
11,104.853,2.04733,1.25338,1.81553,0.82181,0.72042,0.83748,0.31374,2.03071,1.26183,1.93969,0.001802,0.001802,0.001802
|
| 13 |
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12,113.506,2.02371,1.23621,1.77839,0.75356,0.71241,0.797,0.29229,2.08129,1.29861,1.90351,0.0017822,0.0017822,0.0017822
|
| 14 |
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13,122.376,2.02192,1.23889,1.75739,0.8133,0.85401,0.85962,0.3153,2.023,1.16133,1.92578,0.0017624,0.0017624,0.0017624
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| 15 |
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14,131.152,2.00716,1.21078,1.7883,0.85296,0.88071,0.89663,0.337,1.96626,1.18422,1.92061,0.0017426,0.0017426,0.0017426
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| 16 |
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15,139.827,2.00933,1.20211,1.768,0.7498,0.82685,0.85268,0.31579,2.04119,1.16801,1.94241,0.0017228,0.0017228,0.0017228
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| 17 |
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16,148.597,2.0051,1.21462,1.75218,0.86686,0.82336,0.88068,0.33965,1.97463,1.14627,1.88056,0.001703,0.001703,0.001703
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| 18 |
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17,157.423,2.00335,1.20481,1.76919,0.79074,0.85503,0.8806,0.33064,2.00071,1.15621,1.94102,0.0016832,0.0016832,0.0016832
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| 19 |
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18,166.172,2.0034,1.19643,1.77358,0.90299,0.80876,0.89358,0.33561,2.06018,1.10778,1.97048,0.0016634,0.0016634,0.0016634
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| 20 |
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19,174.848,1.98599,1.1878,1.75568,0.8511,0.85693,0.87631,0.32082,2.0243,1.1665,1.89066,0.0016436,0.0016436,0.0016436
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| 21 |
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20,183.444,1.98465,1.19904,1.75255,0.8217,0.78043,0.86251,0.32729,2.02223,1.1276,1.91539,0.0016238,0.0016238,0.0016238
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| 22 |
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21,192.311,1.97739,1.1475,1.73558,0.84448,0.8438,0.89191,0.34263,1.98574,1.11262,1.89942,0.001604,0.001604,0.001604
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| 23 |
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22,201.199,1.98469,1.16434,1.7639,0.83021,0.87737,0.88014,0.33799,1.97813,1.10895,1.91104,0.0015842,0.0015842,0.0015842
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| 24 |
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23,210.133,1.96095,1.16195,1.74905,0.91548,0.86967,0.91136,0.34908,1.99728,1.07633,1.92059,0.0015644,0.0015644,0.0015644
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| 25 |
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24,218.745,1.96634,1.1505,1.73686,0.89596,0.84233,0.88363,0.33837,2.04177,1.08037,1.93846,0.0015446,0.0015446,0.0015446
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| 26 |
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25,227.584,1.96503,1.15807,1.73519,0.7937,0.83796,0.86149,0.33203,1.96271,1.14373,1.85667,0.0015248,0.0015248,0.0015248
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| 27 |
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26,236.489,1.96061,1.14633,1.72981,0.87173,0.83358,0.89939,0.3439,2.02007,1.10468,1.89678,0.001505,0.001505,0.001505
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| 28 |
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| 29 |
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| 30 |
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| 32 |
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| 39 |
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+
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+
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+
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+
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+
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+
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| 63 |
+
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train/yolo11n_seed42/results.png
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|
Git LFS Details
|
train/yolo11n_seed42/train_batch0.jpg
ADDED
|
Git LFS Details
|
train/yolo11n_seed42/train_batch1.jpg
ADDED
|
Git LFS Details
|
train/yolo11n_seed42/train_batch2.jpg
ADDED
|
Git LFS Details
|
train/yolo11n_seed42/val_batch0_labels.jpg
ADDED
|
Git LFS Details
|
train/yolo11n_seed42/val_batch0_pred.jpg
ADDED
|
Git LFS Details
|
train/yolo11n_seed42/val_batch1_labels.jpg
ADDED
|
Git LFS Details
|
train/yolo11n_seed42/val_batch1_pred.jpg
ADDED
|
Git LFS Details
|
train/yolo11n_seed42/val_batch2_labels.jpg
ADDED
|
Git LFS Details
|
train/yolo11n_seed42/val_batch2_pred.jpg
ADDED
|
Git LFS Details
|
train/yolo11n_seed43/BoxF1_curve.png
ADDED
|
Git LFS Details
|
train/yolo11n_seed43/BoxPR_curve.png
ADDED
|
Git LFS Details
|
train/yolo11n_seed43/BoxP_curve.png
ADDED
|
Git LFS Details
|
train/yolo11n_seed43/BoxR_curve.png
ADDED
|
Git LFS Details
|
train/yolo11n_seed43/args.yaml
ADDED
|
@@ -0,0 +1,122 @@
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|
| 1 |
+
task: detect
|
| 2 |
+
mode: train
|
| 3 |
+
model: yolo11n.pt
|
| 4 |
+
data: /marimo/data/datasets/varroa_yolo/varroa.yaml
|
| 5 |
+
epochs: 100
|
| 6 |
+
time: null
|
| 7 |
+
patience: 20
|
| 8 |
+
batch: 16
|
| 9 |
+
imgsz: 640
|
| 10 |
+
save: true
|
| 11 |
+
save_period: -1
|
| 12 |
+
cache: false
|
| 13 |
+
device: '0'
|
| 14 |
+
workers: 4
|
| 15 |
+
project: /marimo/yolo_code/runs/detect/yolo_related/runs/train
|
| 16 |
+
name: yolo11n_seed43
|
| 17 |
+
exist_ok: false
|
| 18 |
+
pretrained: true
|
| 19 |
+
optimizer: auto
|
| 20 |
+
verbose: true
|
| 21 |
+
seed: 43
|
| 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: 0.0
|
| 33 |
+
compile: false
|
| 34 |
+
overlap_mask: true
|
| 35 |
+
mask_ratio: 4
|
| 36 |
+
dropout: 0.0
|
| 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 |
+
end2end: null
|
| 47 |
+
source: null
|
| 48 |
+
vid_stride: 1
|
| 49 |
+
stream_buffer: false
|
| 50 |
+
visualize: false
|
| 51 |
+
augment: false
|
| 52 |
+
agnostic_nms: false
|
| 53 |
+
classes: null
|
| 54 |
+
retina_masks: false
|
| 55 |
+
embed: null
|
| 56 |
+
show: false
|
| 57 |
+
save_frames: false
|
| 58 |
+
save_txt: false
|
| 59 |
+
save_conf: false
|
| 60 |
+
save_crop: false
|
| 61 |
+
show_labels: true
|
| 62 |
+
show_conf: true
|
| 63 |
+
show_boxes: true
|
| 64 |
+
line_width: null
|
| 65 |
+
format: torchscript
|
| 66 |
+
keras: false
|
| 67 |
+
optimize: false
|
| 68 |
+
int8: false
|
| 69 |
+
dynamic: false
|
| 70 |
+
simplify: true
|
| 71 |
+
opset: null
|
| 72 |
+
workspace: null
|
| 73 |
+
nms: false
|
| 74 |
+
lr0: 0.01
|
| 75 |
+
lrf: 0.01
|
| 76 |
+
momentum: 0.937
|
| 77 |
+
weight_decay: 0.0005
|
| 78 |
+
warmup_epochs: 3.0
|
| 79 |
+
warmup_momentum: 0.8
|
| 80 |
+
warmup_bias_lr: 0.1
|
| 81 |
+
box: 7.5
|
| 82 |
+
bbox_iou_loss: ciou
|
| 83 |
+
wiou_monotonous: false
|
| 84 |
+
boundary_contrast: 0.0
|
| 85 |
+
boundary_levels: 2
|
| 86 |
+
boundary_ring: 1.0
|
| 87 |
+
boundary_samples: 16
|
| 88 |
+
boundary_tau: 0.2
|
| 89 |
+
boundary_shrinkage: 0.25
|
| 90 |
+
loc_quality: 0.0
|
| 91 |
+
loc_quality_levels: 2
|
| 92 |
+
loc_quality_sigma: 0.45
|
| 93 |
+
loc_quality_loss: mse
|
| 94 |
+
cls: 0.5
|
| 95 |
+
cls_pw: 0.0
|
| 96 |
+
dfl: 1.5
|
| 97 |
+
pose: 12.0
|
| 98 |
+
kobj: 1.0
|
| 99 |
+
rle: 1.0
|
| 100 |
+
angle: 1.0
|
| 101 |
+
nbs: 64
|
| 102 |
+
hsv_h: 0.015
|
| 103 |
+
hsv_s: 0.7
|
| 104 |
+
hsv_v: 0.4
|
| 105 |
+
degrees: 0.0
|
| 106 |
+
translate: 0.1
|
| 107 |
+
scale: 0.5
|
| 108 |
+
shear: 0.0
|
| 109 |
+
perspective: 0.0
|
| 110 |
+
flipud: 0.0
|
| 111 |
+
fliplr: 0.5
|
| 112 |
+
bgr: 0.0
|
| 113 |
+
mosaic: 1.0
|
| 114 |
+
mixup: 0.0
|
| 115 |
+
cutmix: 0.0
|
| 116 |
+
copy_paste: 0.0
|
| 117 |
+
copy_paste_mode: flip
|
| 118 |
+
auto_augment: randaugment
|
| 119 |
+
erasing: 0.4
|
| 120 |
+
cfg: null
|
| 121 |
+
tracker: botsort.yaml
|
| 122 |
+
save_dir: /marimo/yolo_code/runs/detect/yolo_related/runs/train/yolo11n_seed43
|
train/yolo11n_seed43/confusion_matrix.png
ADDED
|
Git LFS Details
|
train/yolo11n_seed43/confusion_matrix_normalized.png
ADDED
|
Git LFS Details
|
train/yolo11n_seed43/labels.jpg
ADDED
|
Git LFS Details
|
train/yolo11n_seed43/results.csv
ADDED
|
@@ -0,0 +1,65 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 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 |
+
1,10.7593,2.22079,2.78645,1.84708,0.78318,0.78568,0.79961,0.2561,2.09852,1.92831,1.69248,0.000662813,0.000662813,0.000662813
|
| 3 |
+
2,20.1063,2.0972,1.75022,1.73444,0.73074,0.75182,0.76104,0.2624,1.99114,2.05858,1.91667,0.00131632,0.00131632,0.00131632
|
| 4 |
+
3,28.8398,2.09889,1.53188,1.74768,0.65424,0.61606,0.65914,0.22929,2.14441,1.6253,1.93297,0.00195662,0.00195662,0.00195662
|
| 5 |
+
4,37.5721,2.08471,1.42494,1.74153,0.75529,0.74344,0.81068,0.29501,2.0617,1.35815,1.75175,0.0019406,0.0019406,0.0019406
|
| 6 |
+
5,46.3422,2.0629,1.38837,1.73116,0.74679,0.7793,0.81675,0.27802,2.08303,1.49663,1.77962,0.0019208,0.0019208,0.0019208
|
| 7 |
+
6,54.9586,2.07475,1.34664,1.7146,0.73094,0.75328,0.7469,0.25306,2.07667,1.47308,1.72818,0.001901,0.001901,0.001901
|
| 8 |
+
7,63.7078,2.05611,1.31516,1.69224,0.86037,0.74745,0.8394,0.31553,2.0501,1.2342,1.73671,0.0018812,0.0018812,0.0018812
|
| 9 |
+
8,72.3454,2.05753,1.30037,1.68591,0.78539,0.7781,0.84761,0.31221,2.0564,1.20696,1.7795,0.0018614,0.0018614,0.0018614
|
| 10 |
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train/yolo11n_seed43/results.png
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Git LFS Details
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train/yolo11n_seed43/train_batch0.jpg
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Git LFS Details
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Git LFS Details
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train/yolo11n_seed43/train_batch2.jpg
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Git LFS Details
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train/yolo11n_seed43/val_batch0_labels.jpg
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Git LFS Details
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train/yolo11n_seed43/val_batch0_pred.jpg
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Git LFS Details
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Git LFS Details
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|
Git LFS Details
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train/yolo11n_seed43/val_batch2_labels.jpg
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Git LFS Details
|
train/yolo11n_seed43/val_batch2_pred.jpg
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|
Git LFS Details
|
train/yolo11n_seed44/args.yaml
ADDED
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|
| 1 |
+
task: detect
|
| 2 |
+
mode: train
|
| 3 |
+
model: yolo11n.pt
|
| 4 |
+
data: /marimo/data/datasets/varroa_yolo/varroa.yaml
|
| 5 |
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epochs: 100
|
| 6 |
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time: null
|
| 7 |
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patience: 20
|
| 8 |
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batch: 16
|
| 9 |
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imgsz: 640
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save: true
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| 11 |
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save_period: -1
|
| 12 |
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cache: false
|
| 13 |
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device: '0'
|
| 14 |
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workers: 4
|
| 15 |
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project: /marimo/yolo_code/runs/detect/yolo_related/runs/train
|
| 16 |
+
name: yolo11n_seed44
|
| 17 |
+
exist_ok: false
|
| 18 |
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pretrained: true
|
| 19 |
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optimizer: auto
|
| 20 |
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verbose: true
|
| 21 |
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seed: 44
|
| 22 |
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deterministic: true
|
| 23 |
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single_cls: false
|
| 24 |
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rect: false
|
| 25 |
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cos_lr: false
|
| 26 |
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close_mosaic: 10
|
| 27 |
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resume: false
|
| 28 |
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amp: true
|
| 29 |
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fraction: 1.0
|
| 30 |
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profile: false
|
| 31 |
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freeze: null
|
| 32 |
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multi_scale: 0.0
|
| 33 |
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compile: false
|
| 34 |
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overlap_mask: true
|
| 35 |
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mask_ratio: 4
|
| 36 |
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dropout: 0.0
|
| 37 |
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val: true
|
| 38 |
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split: val
|
| 39 |
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save_json: false
|
| 40 |
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conf: null
|
| 41 |
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iou: 0.7
|
| 42 |
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max_det: 300
|
| 43 |
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half: false
|
| 44 |
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dnn: false
|
| 45 |
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plots: true
|
| 46 |
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end2end: null
|
| 47 |
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source: null
|
| 48 |
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vid_stride: 1
|
| 49 |
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stream_buffer: false
|
| 50 |
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visualize: false
|
| 51 |
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augment: false
|
| 52 |
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agnostic_nms: false
|
| 53 |
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classes: null
|
| 54 |
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retina_masks: false
|
| 55 |
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embed: null
|
| 56 |
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show: false
|
| 57 |
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save_frames: false
|
| 58 |
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save_txt: false
|
| 59 |
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save_conf: false
|
| 60 |
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save_crop: false
|
| 61 |
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show_labels: true
|
| 62 |
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show_conf: true
|
| 63 |
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show_boxes: true
|
| 64 |
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line_width: null
|
| 65 |
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format: torchscript
|
| 66 |
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keras: false
|
| 67 |
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optimize: false
|
| 68 |
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int8: false
|
| 69 |
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dynamic: false
|
| 70 |
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simplify: true
|
| 71 |
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opset: null
|
| 72 |
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workspace: null
|
| 73 |
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nms: false
|
| 74 |
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lr0: 0.01
|
| 75 |
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lrf: 0.01
|
| 76 |
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momentum: 0.937
|
| 77 |
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weight_decay: 0.0005
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| 78 |
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warmup_epochs: 3.0
|
| 79 |
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warmup_momentum: 0.8
|
| 80 |
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warmup_bias_lr: 0.1
|
| 81 |
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box: 7.5
|
| 82 |
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bbox_iou_loss: ciou
|
| 83 |
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wiou_monotonous: false
|
| 84 |
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boundary_contrast: 0.0
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| 85 |
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boundary_levels: 2
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| 86 |
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boundary_ring: 1.0
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| 87 |
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boundary_samples: 16
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| 88 |
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boundary_tau: 0.2
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| 89 |
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boundary_shrinkage: 0.25
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| 90 |
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loc_quality: 0.0
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| 91 |
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loc_quality_levels: 2
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| 92 |
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loc_quality_sigma: 0.45
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| 93 |
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loc_quality_loss: mse
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| 94 |
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cls: 0.5
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| 95 |
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cls_pw: 0.0
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| 96 |
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dfl: 1.5
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| 97 |
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pose: 12.0
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| 98 |
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kobj: 1.0
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rle: 1.0
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angle: 1.0
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nbs: 64
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hsv_h: 0.015
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hsv_s: 0.7
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| 104 |
+
hsv_v: 0.4
|
| 105 |
+
degrees: 0.0
|
| 106 |
+
translate: 0.1
|
| 107 |
+
scale: 0.5
|
| 108 |
+
shear: 0.0
|
| 109 |
+
perspective: 0.0
|
| 110 |
+
flipud: 0.0
|
| 111 |
+
fliplr: 0.5
|
| 112 |
+
bgr: 0.0
|
| 113 |
+
mosaic: 1.0
|
| 114 |
+
mixup: 0.0
|
| 115 |
+
cutmix: 0.0
|
| 116 |
+
copy_paste: 0.0
|
| 117 |
+
copy_paste_mode: flip
|
| 118 |
+
auto_augment: randaugment
|
| 119 |
+
erasing: 0.4
|
| 120 |
+
cfg: null
|
| 121 |
+
tracker: botsort.yaml
|
| 122 |
+
save_dir: /marimo/yolo_code/runs/detect/yolo_related/runs/train/yolo11n_seed44
|
train/yolo11n_seed44/results.csv
ADDED
|
@@ -0,0 +1,62 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 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 |
+
1,10.4179,2.20862,2.76376,1.87998,0.74375,0.74015,0.73748,0.23485,2.0283,2.5932,1.8877,0.000662813,0.000662813,0.000662813
|
| 3 |
+
2,19.7641,2.09499,1.7298,1.77329,0.60151,0.68029,0.68693,0.24148,2.0825,1.66814,1.9283,0.00131632,0.00131632,0.00131632
|
| 4 |
+
3,28.8254,2.08841,1.52289,1.7619,0.78937,0.71241,0.7756,0.2505,2.10073,1.73987,1.92879,0.00195662,0.00195662,0.00195662
|
| 5 |
+
4,37.7139,2.08575,1.42204,1.78656,0.5451,0.6805,0.58392,0.18496,2.09831,1.78423,1.81895,0.0019406,0.0019406,0.0019406
|
| 6 |
+
5,46.4818,2.07501,1.41278,1.75849,0.74904,0.80876,0.81675,0.28224,2.09416,1.33203,1.76775,0.0019208,0.0019208,0.0019208
|
| 7 |
+
6,55.2611,2.05833,1.36072,1.76164,0.65816,0.72701,0.75269,0.28377,2.04934,1.26283,1.83982,0.001901,0.001901,0.001901
|
| 8 |
+
7,64.1756,2.05406,1.32231,1.73701,0.7841,0.79416,0.8472,0.30664,2.06977,1.20611,1.86347,0.0018812,0.0018812,0.0018812
|
| 9 |
+
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|
| 10 |
+
9,81.826,2.05094,1.2759,1.74467,0.84845,0.8292,0.88039,0.32155,2.02749,1.22513,1.82254,0.0018416,0.0018416,0.0018416
|
| 11 |
+
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|
| 12 |
+
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|
| 13 |
+
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|
| 14 |
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|
| 15 |
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| 16 |
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|
| 17 |
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| 18 |
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| 20 |
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| 21 |
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| 22 |
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| 23 |
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22,196.722,1.96613,1.18451,1.69995,0.82049,0.85693,0.88282,0.33645,1.94399,1.16252,1.82208,0.0015842,0.0015842,0.0015842
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| 24 |
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|
| 25 |
+
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|
| 26 |
+
25,222.873,1.95877,1.16592,1.67511,0.85765,0.81022,0.85419,0.33332,1.93876,1.17213,1.79549,0.0015248,0.0015248,0.0015248
|
| 27 |
+
26,231.84,1.95535,1.14831,1.67227,0.90358,0.83504,0.89644,0.33653,2.04447,1.07596,1.80733,0.001505,0.001505,0.001505
|
| 28 |
+
27,240.433,1.954,1.15706,1.67964,0.88538,0.89088,0.90404,0.3426,1.98854,1.10529,1.85414,0.0014852,0.0014852,0.0014852
|
| 29 |
+
28,249.101,1.95421,1.13856,1.68762,0.89195,0.81948,0.88279,0.34073,2.03393,1.10006,1.80251,0.0014654,0.0014654,0.0014654
|
| 30 |
+
29,257.968,1.94685,1.12276,1.67157,0.79731,0.86131,0.87461,0.34135,1.99018,1.09746,1.83195,0.0014456,0.0014456,0.0014456
|
| 31 |
+
30,266.814,1.94666,1.12614,1.6668,0.88178,0.8146,0.88262,0.32682,2.08351,1.08873,1.79333,0.0014258,0.0014258,0.0014258
|
| 32 |
+
31,275.556,1.93705,1.12913,1.65644,0.88319,0.86277,0.88356,0.3396,2.05667,1.05426,1.86158,0.001406,0.001406,0.001406
|
| 33 |
+
32,284.209,1.94602,1.10993,1.6786,0.89731,0.87883,0.90869,0.34644,1.99107,1.10198,1.80656,0.0013862,0.0013862,0.0013862
|
| 34 |
+
33,293.207,1.94041,1.13916,1.67061,0.9067,0.83358,0.89072,0.34932,1.99449,1.08833,1.77549,0.0013664,0.0013664,0.0013664
|
| 35 |
+
34,302.221,1.92805,1.10981,1.6777,0.88875,0.87883,0.90922,0.34409,2.02152,1.06446,1.86482,0.0013466,0.0013466,0.0013466
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| 36 |
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35,311.278,1.93018,1.10658,1.65849,0.87108,0.85985,0.88979,0.33229,2.04589,1.04549,1.87689,0.0013268,0.0013268,0.0013268
|
| 37 |
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36,320.3,1.9118,1.09677,1.64725,0.92729,0.85985,0.9138,0.34589,2.04711,1.06066,1.82745,0.001307,0.001307,0.001307
|
| 38 |
+
37,329.249,1.91789,1.08531,1.66102,0.89967,0.88613,0.91118,0.34598,2.02241,1.0356,1.82612,0.0012872,0.0012872,0.0012872
|
| 39 |
+
38,337.937,1.91554,1.09978,1.64837,0.85301,0.86569,0.89252,0.34542,1.97632,1.07466,1.84438,0.0012674,0.0012674,0.0012674
|
| 40 |
+
39,346.776,1.90305,1.10565,1.66114,0.88143,0.88986,0.90408,0.34506,2.01841,1.04129,1.87592,0.0012476,0.0012476,0.0012476
|
| 41 |
+
40,355.604,1.91343,1.08064,1.65585,0.8678,0.88159,0.89031,0.33226,2.07051,1.02504,1.88783,0.0012278,0.0012278,0.0012278
|
| 42 |
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41,364.299,1.90846,1.08022,1.65993,0.9194,0.89929,0.91508,0.35369,2.02483,1.03391,1.83635,0.001208,0.001208,0.001208
|
| 43 |
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42,373.082,1.89986,1.09685,1.65308,0.90323,0.89928,0.91571,0.34742,1.98253,1.0544,1.84537,0.0011882,0.0011882,0.0011882
|
| 44 |
+
43,381.796,1.90584,1.08412,1.66364,0.87774,0.8594,0.90048,0.34887,2.01509,1.04603,1.84517,0.0011684,0.0011684,0.0011684
|
| 45 |
+
44,390.572,1.90188,1.07031,1.65328,0.89457,0.87591,0.91074,0.35097,2.03066,1.03658,1.8586,0.0011486,0.0011486,0.0011486
|
| 46 |
+
45,399.235,1.88558,1.06142,1.65486,0.90524,0.85073,0.90483,0.352,2.03352,1.04039,1.85593,0.0011288,0.0011288,0.0011288
|
| 47 |
+
46,408.015,1.87004,1.06597,1.63621,0.88258,0.87445,0.90115,0.34702,2.04365,1.03118,1.90715,0.001109,0.001109,0.001109
|
| 48 |
+
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|
| 49 |
+
48,425.566,1.88172,1.05446,1.64792,0.8373,0.82628,0.88228,0.34224,2.03341,1.03036,1.8529,0.0010694,0.0010694,0.0010694
|
| 50 |
+
49,434.369,1.88094,1.04295,1.62155,0.90067,0.88613,0.9108,0.3517,2.04497,1.01095,1.84798,0.0010496,0.0010496,0.0010496
|
| 51 |
+
50,443.288,1.86678,1.04801,1.6316,0.90585,0.88484,0.91105,0.35116,2.04138,1.0036,1.87111,0.0010298,0.0010298,0.0010298
|
| 52 |
+
51,452.101,1.8661,1.01288,1.63392,0.89332,0.86861,0.90006,0.34032,2.0766,0.99865,1.88843,0.00101,0.00101,0.00101
|
| 53 |
+
52,460.928,1.87105,1.03662,1.63402,0.89072,0.8686,0.89141,0.34894,2.01946,1.02926,1.85368,0.0009902,0.0009902,0.0009902
|
| 54 |
+
53,469.84,1.86629,1.02202,1.63323,0.86889,0.87153,0.90052,0.34651,2.01925,1.05108,1.8548,0.0009704,0.0009704,0.0009704
|
| 55 |
+
54,478.551,1.84232,1.04507,1.62052,0.90071,0.87299,0.90706,0.34529,2.04668,1.00908,1.90099,0.0009506,0.0009506,0.0009506
|
| 56 |
+
55,487.31,1.84704,1.01763,1.62879,0.88157,0.85849,0.90584,0.34277,2.03222,1.04852,1.89846,0.0009308,0.0009308,0.0009308
|
| 57 |
+
56,496.192,1.83244,1.02716,1.63517,0.86863,0.87838,0.89218,0.3404,2.00879,1.04887,1.88467,0.000911,0.000911,0.000911
|
| 58 |
+
57,505.105,1.84085,0.99505,1.62428,0.88873,0.86277,0.90441,0.34315,2.04431,1.01645,1.89855,0.0008912,0.0008912,0.0008912
|
| 59 |
+
58,513.748,1.81691,1.00269,1.61902,0.87493,0.87299,0.9,0.34094,2.03598,1.0332,1.89894,0.0008714,0.0008714,0.0008714
|
| 60 |
+
59,522.578,1.82547,1.00362,1.62599,0.90141,0.86569,0.91548,0.34416,2.03359,1.02041,1.88477,0.0008516,0.0008516,0.0008516
|
| 61 |
+
60,531.336,1.80231,1.00623,1.59213,0.88616,0.88905,0.90411,0.33978,2.04468,0.99409,1.89315,0.0008318,0.0008318,0.0008318
|
| 62 |
+
61,540.102,1.81931,0.97832,1.61025,0.89747,0.87299,0.90284,0.33444,2.07246,1.01639,1.92876,0.000812,0.000812,0.000812
|
train/yolo11s_seed42/BoxF1_curve.png
ADDED
|
Git LFS Details
|
train/yolo11s_seed42/BoxPR_curve.png
ADDED
|
Git LFS Details
|
train/yolo11s_seed42/BoxP_curve.png
ADDED
|
Git LFS Details
|
train/yolo11s_seed42/BoxR_curve.png
ADDED
|
Git LFS Details
|
train/yolo11s_seed42/args.yaml
ADDED
|
@@ -0,0 +1,122 @@
|
|
|
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|
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|
|
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|
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|
|
|
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|
|
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|
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|
|
|
|
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|
|
|
|
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|
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|
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|
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|
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|
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|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
| 1 |
+
task: detect
|
| 2 |
+
mode: train
|
| 3 |
+
model: yolo11s.pt
|
| 4 |
+
data: /marimo/data/datasets/varroa_yolo/varroa.yaml
|
| 5 |
+
epochs: 100
|
| 6 |
+
time: null
|
| 7 |
+
patience: 20
|
| 8 |
+
batch: 16
|
| 9 |
+
imgsz: 640
|
| 10 |
+
save: true
|
| 11 |
+
save_period: -1
|
| 12 |
+
cache: false
|
| 13 |
+
device: '0'
|
| 14 |
+
workers: 4
|
| 15 |
+
project: /marimo/yolo_code/runs/detect/yolo_related/runs/train
|
| 16 |
+
name: yolo11s_seed42
|
| 17 |
+
exist_ok: false
|
| 18 |
+
pretrained: true
|
| 19 |
+
optimizer: auto
|
| 20 |
+
verbose: true
|
| 21 |
+
seed: 42
|
| 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: 0.0
|
| 33 |
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compile: false
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save_dir: /marimo/yolo_code/runs/detect/yolo_related/runs/train/yolo11s_seed42
|
train/yolo11s_seed42/confusion_matrix.png
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Git LFS Details
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train/yolo11s_seed42/confusion_matrix_normalized.png
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|
Git LFS Details
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train/yolo11s_seed42/results.csv
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train/yolo11s_seed42/results.png
ADDED
|
Git LFS Details
|
train/yolo11s_seed42/val_batch2_labels.jpg
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Git LFS Details
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