Skip to content
Snippets Groups Projects
Commit 0837c78f authored by michael.divia's avatar michael.divia
Browse files

Yolo

parent 3c52774f
Branches
No related tags found
No related merge requests found
Showing
with 156 additions and 0 deletions
models/Yolo/F1_curve.png

111 KiB

models/Yolo/PR_curve.png

86.2 KiB

models/Yolo/P_curve.png

100 KiB

models/Yolo/R_curve.png

106 KiB

task: detect
mode: train
model: yolov8m.pt
data: /home/users/d/divia/YOLOv8_Data/data.yaml
epochs: 50
time: null
patience: 100
batch: 8
imgsz: 512
save: true
save_period: -1
cache: false
device: 0
workers: 2
project: pokemon-yolo-hpc
name: yolov8m-pokemon3
exist_ok: false
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: 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
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
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
copy_paste: 0.0
copy_paste_mode: flip
auto_augment: randaugment
erasing: 0.4
crop_fraction: 1.0
cfg: null
tracker: botsort.yaml
save_dir: pokemon-yolo-hpc/yolov8m-pokemon3
models/Yolo/confusion_matrix.png

93.7 KiB

models/Yolo/confusion_matrix_normalized.png

91.4 KiB

models/Yolo/labels.jpg

267 KiB

models/Yolo/labels_correlogram.jpg

198 KiB

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
1,11.9651,1.20661,1.45719,1.51325,0.64102,0.61975,0.6336,0.31048,1.7471,3.06592,2.77868,0.000655172,0.000655172,0.000655172
2,17.7392,1.42857,1.41466,1.67233,0.22315,0.29501,0.15923,0.04917,2.67191,7.64331,3.84944,0.00129567,0.00129567,0.00129567
3,23.4908,1.48425,1.46761,1.73939,0.48508,0.41432,0.33308,0.12734,2.45516,3.90294,3.38146,0.00190976,0.00190976,0.00190976
4,29.0936,1.50694,1.396,1.69206,0.38542,0.52061,0.407,0.17081,1.88025,4.76258,2.78952,0.0018812,0.0018812,0.0018812
5,34.7223,1.41044,1.3239,1.63981,0.4537,0.40781,0.36636,0.15013,1.82774,2.45088,2.18067,0.0018416,0.0018416,0.0018416
6,40.3624,1.3646,1.30399,1.60275,0.68929,0.65727,0.68853,0.36464,1.46598,1.75499,1.91968,0.001802,0.001802,0.001802
7,46.1091,1.38013,1.31206,1.60387,0.66707,0.69848,0.7083,0.37773,1.55805,1.56117,1.98369,0.0017624,0.0017624,0.0017624
8,51.7865,1.31214,1.1999,1.555,0.74533,0.63557,0.71438,0.37124,1.59804,1.38881,1.89353,0.0017228,0.0017228,0.0017228
9,58.5021,1.27618,1.18225,1.54653,0.69612,0.67896,0.72344,0.40341,1.4198,1.43675,1.79243,0.0016832,0.0016832,0.0016832
10,64.3085,1.24926,1.14297,1.50618,0.79209,0.68764,0.76295,0.46481,1.35724,1.25697,1.72403,0.0016436,0.0016436,0.0016436
11,69.9276,1.23884,1.12832,1.49751,0.82867,0.71584,0.82068,0.49616,1.30117,1.08316,1.66113,0.001604,0.001604,0.001604
12,75.5876,1.24084,1.08662,1.52057,0.88674,0.7133,0.80654,0.50886,1.25851,1.01456,1.62922,0.0015644,0.0015644,0.0015644
13,81.2858,1.21659,1.10426,1.49069,0.86599,0.72893,0.82131,0.51538,1.27734,1.01753,1.61122,0.0015248,0.0015248,0.0015248
14,86.9741,1.17102,1.04274,1.47334,0.85749,0.76573,0.84215,0.55687,1.13399,0.89168,1.50133,0.0014852,0.0014852,0.0014852
15,92.6652,1.1911,1.05359,1.48427,0.88838,0.75964,0.85918,0.53404,1.21606,0.9218,1.56448,0.0014456,0.0014456,0.0014456
16,98.2865,1.09646,0.92624,1.40653,0.85393,0.79176,0.87396,0.56597,1.1707,0.84555,1.50064,0.001406,0.001406,0.001406
17,104.144,1.14764,0.95416,1.44699,0.90626,0.77007,0.86314,0.56746,1.1483,0.8579,1.52349,0.0013664,0.0013664,0.0013664
18,109.817,1.1151,0.92228,1.42409,0.88195,0.8026,0.86965,0.54806,1.17914,0.9186,1.55719,0.0013268,0.0013268,0.0013268
19,115.452,1.12803,0.94408,1.4317,0.88387,0.75705,0.84431,0.53297,1.22197,0.85998,1.55799,0.0012872,0.0012872,0.0012872
20,121.101,1.04426,0.90034,1.38835,0.81294,0.78246,0.85051,0.55339,1.16611,0.94935,1.51498,0.0012476,0.0012476,0.0012476
21,126.778,1.07379,0.91904,1.39249,0.90039,0.76139,0.86931,0.59839,1.05698,0.77941,1.41031,0.001208,0.001208,0.001208
22,132.482,1.05664,0.88012,1.38511,0.92409,0.76578,0.87868,0.60304,1.07853,0.74289,1.42988,0.0011684,0.0011684,0.0011684
23,138.374,1.01886,0.88631,1.34392,0.86022,0.78091,0.87852,0.60449,1.06714,0.78117,1.41622,0.0011288,0.0011288,0.0011288
24,144.071,0.99992,0.83086,1.34646,0.86403,0.79826,0.86273,0.59446,1.07123,0.77573,1.42484,0.0010892,0.0010892,0.0010892
25,149.733,1.01672,0.83241,1.36299,0.9196,0.7961,0.9022,0.616,1.03977,0.73327,1.40348,0.0010496,0.0010496,0.0010496
26,155.413,0.98124,0.78017,1.32699,0.93549,0.8178,0.90832,0.62124,1.04941,0.71463,1.42536,0.00101,0.00101,0.00101
27,161.143,0.98248,0.77469,1.32067,0.91522,0.80043,0.90143,0.6179,1.03092,0.74045,1.40361,0.0009704,0.0009704,0.0009704
28,166.812,0.91832,0.76413,1.30147,0.9104,0.81562,0.8952,0.60488,1.05657,0.74333,1.44906,0.0009308,0.0009308,0.0009308
29,172.479,0.94719,0.74816,1.2992,0.9184,0.83948,0.90489,0.62533,1.03413,0.70716,1.37792,0.0008912,0.0008912,0.0008912
30,178.305,0.95915,0.7502,1.30324,0.93076,0.82213,0.90549,0.63992,1.00249,0.67834,1.38284,0.0008516,0.0008516,0.0008516
31,184,0.90993,0.71224,1.28495,0.91481,0.79195,0.89581,0.63542,1.00156,0.69157,1.38425,0.000812,0.000812,0.000812
32,189.628,0.92071,0.69707,1.29359,0.91263,0.79176,0.89699,0.63615,0.98519,0.68343,1.38676,0.0007724,0.0007724,0.0007724
33,195.262,0.89094,0.67342,1.27657,0.9072,0.79826,0.88185,0.60972,1.06861,0.68163,1.46238,0.0007328,0.0007328,0.0007328
34,200.89,0.90624,0.69461,1.2695,0.89906,0.84165,0.90798,0.63594,1.0016,0.66608,1.36367,0.0006932,0.0006932,0.0006932
35,206.518,0.89007,0.6741,1.27017,0.91536,0.82863,0.89711,0.63375,1.00521,0.66921,1.37506,0.0006536,0.0006536,0.0006536
36,212.284,0.86759,0.66772,1.23893,0.88744,0.83297,0.90282,0.62065,1.02058,0.65927,1.40985,0.000614,0.000614,0.000614
37,217.957,0.89219,0.65593,1.2611,0.90658,0.84198,0.91085,0.62567,1.00715,0.66639,1.37946,0.0005744,0.0005744,0.0005744
38,223.605,0.88523,0.66707,1.24987,0.89708,0.83192,0.90349,0.64155,0.95349,0.6566,1.33499,0.0005348,0.0005348,0.0005348
39,229.317,0.8375,0.6262,1.21901,0.89291,0.85005,0.91205,0.65744,0.97451,0.59802,1.33556,0.0004952,0.0004952,0.0004952
40,235.035,0.85292,0.62834,1.21443,0.93175,0.82915,0.9123,0.65689,0.98256,0.59158,1.35377,0.0004556,0.0004556,0.0004556
41,240.875,0.7095,0.4921,1.15946,0.93219,0.83948,0.90884,0.63269,0.99704,0.6219,1.3729,0.000416,0.000416,0.000416
42,246.428,0.68899,0.48027,1.15723,0.93288,0.84414,0.91359,0.63794,0.97205,0.62026,1.36389,0.0003764,0.0003764,0.0003764
43,251.892,0.68234,0.48201,1.14748,0.90177,0.85625,0.90746,0.63836,0.97116,0.60682,1.3693,0.0003368,0.0003368,0.0003368
44,257.393,0.6391,0.42572,1.11811,0.91648,0.8308,0.91408,0.64667,0.96145,0.60426,1.3641,0.0002972,0.0002972,0.0002972
45,262.835,0.6492,0.41699,1.12704,0.90908,0.83297,0.91013,0.65586,0.96284,0.59312,1.36048,0.0002576,0.0002576,0.0002576
46,268.309,0.65299,0.41082,1.11811,0.92103,0.8243,0.90833,0.64967,0.94457,0.59957,1.33399,0.000218,0.000218,0.000218
47,273.752,0.65153,0.40601,1.10412,0.93201,0.83256,0.90897,0.653,0.96387,0.59194,1.35515,0.0001784,0.0001784,0.0001784
48,279.367,0.59737,0.39262,1.09595,0.92324,0.83494,0.91885,0.66303,0.95153,0.57876,1.34756,0.0001388,0.0001388,0.0001388
49,284.897,0.59434,0.38365,1.08559,0.92396,0.84346,0.91574,0.65822,0.94592,0.56894,1.33906,9.92e-05,9.92e-05,9.92e-05
50,290.372,0.58567,0.37172,1.08334,0.92269,0.85431,0.92357,0.65366,0.94789,0.56635,1.3453,5.96e-05,5.96e-05,5.96e-05
models/Yolo/results.png

258 KiB

models/Yolo/train_batch0.jpg

278 KiB

models/Yolo/train_batch1.jpg

255 KiB

models/Yolo/train_batch2.jpg

309 KiB

models/Yolo/train_batch2320.jpg

198 KiB

models/Yolo/train_batch2321.jpg

216 KiB

models/Yolo/train_batch2322.jpg

207 KiB

models/Yolo/val_batch0_labels.jpg

433 KiB

models/Yolo/val_batch0_pred.jpg

450 KiB

models/Yolo/val_batch1_labels.jpg

403 KiB

0% Loading or .
You are about to add 0 people to the discussion. Proceed with caution.
Please register or to comment