Adding the yolov26 defect detection model
Browse files- .gitattributes +20 -0
- v3_detection_model/BoxF1_curve.png +3 -0
- v3_detection_model/BoxPR_curve.png +3 -0
- v3_detection_model/BoxP_curve.png +3 -0
- v3_detection_model/BoxR_curve.png +3 -0
- v3_detection_model/args.yaml +109 -0
- v3_detection_model/confusion_matrix.png +3 -0
- v3_detection_model/confusion_matrix_normalized.png +3 -0
- v3_detection_model/labels.jpg +3 -0
- v3_detection_model/results.csv +51 -0
- v3_detection_model/results.png +3 -0
- v3_detection_model/train_batch0.jpg +3 -0
- v3_detection_model/train_batch1.jpg +3 -0
- v3_detection_model/train_batch2.jpg +3 -0
- v3_detection_model/train_batch3160.jpg +3 -0
- v3_detection_model/train_batch3161.jpg +3 -0
- v3_detection_model/train_batch3162.jpg +3 -0
- v3_detection_model/val_batch0_labels.jpg +3 -0
- v3_detection_model/val_batch0_pred.jpg +3 -0
- v3_detection_model/val_batch1_labels.jpg +3 -0
- v3_detection_model/val_batch1_pred.jpg +3 -0
- v3_detection_model/val_batch2_labels.jpg +3 -0
- v3_detection_model/val_batch2_pred.jpg +3 -0
- v3_detection_model/weights/best.pt +3 -0
- v3_detection_model/weights/last.pt +3 -0
.gitattributes
CHANGED
|
@@ -38,3 +38,23 @@ v8_model/confusion_matrix.png filter=lfs diff=lfs merge=lfs -text
|
|
| 38 |
v8_model/results.png filter=lfs diff=lfs merge=lfs -text
|
| 39 |
v8_model/train_batch1.jpg filter=lfs diff=lfs merge=lfs -text
|
| 40 |
v8_model/train_batch2.jpg filter=lfs diff=lfs merge=lfs -text
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 38 |
v8_model/results.png filter=lfs diff=lfs merge=lfs -text
|
| 39 |
v8_model/train_batch1.jpg filter=lfs diff=lfs merge=lfs -text
|
| 40 |
v8_model/train_batch2.jpg filter=lfs diff=lfs merge=lfs -text
|
| 41 |
+
v3_detection_model/BoxF1_curve.png filter=lfs diff=lfs merge=lfs -text
|
| 42 |
+
v3_detection_model/BoxP_curve.png filter=lfs diff=lfs merge=lfs -text
|
| 43 |
+
v3_detection_model/BoxPR_curve.png filter=lfs diff=lfs merge=lfs -text
|
| 44 |
+
v3_detection_model/BoxR_curve.png filter=lfs diff=lfs merge=lfs -text
|
| 45 |
+
v3_detection_model/confusion_matrix_normalized.png filter=lfs diff=lfs merge=lfs -text
|
| 46 |
+
v3_detection_model/confusion_matrix.png filter=lfs diff=lfs merge=lfs -text
|
| 47 |
+
v3_detection_model/labels.jpg filter=lfs diff=lfs merge=lfs -text
|
| 48 |
+
v3_detection_model/results.png filter=lfs diff=lfs merge=lfs -text
|
| 49 |
+
v3_detection_model/train_batch0.jpg filter=lfs diff=lfs merge=lfs -text
|
| 50 |
+
v3_detection_model/train_batch1.jpg filter=lfs diff=lfs merge=lfs -text
|
| 51 |
+
v3_detection_model/train_batch2.jpg filter=lfs diff=lfs merge=lfs -text
|
| 52 |
+
v3_detection_model/train_batch3160.jpg filter=lfs diff=lfs merge=lfs -text
|
| 53 |
+
v3_detection_model/train_batch3161.jpg filter=lfs diff=lfs merge=lfs -text
|
| 54 |
+
v3_detection_model/train_batch3162.jpg filter=lfs diff=lfs merge=lfs -text
|
| 55 |
+
v3_detection_model/val_batch0_labels.jpg filter=lfs diff=lfs merge=lfs -text
|
| 56 |
+
v3_detection_model/val_batch0_pred.jpg filter=lfs diff=lfs merge=lfs -text
|
| 57 |
+
v3_detection_model/val_batch1_labels.jpg filter=lfs diff=lfs merge=lfs -text
|
| 58 |
+
v3_detection_model/val_batch1_pred.jpg filter=lfs diff=lfs merge=lfs -text
|
| 59 |
+
v3_detection_model/val_batch2_labels.jpg filter=lfs diff=lfs merge=lfs -text
|
| 60 |
+
v3_detection_model/val_batch2_pred.jpg filter=lfs diff=lfs merge=lfs -text
|
v3_detection_model/BoxF1_curve.png
ADDED
|
Git LFS Details
|
v3_detection_model/BoxPR_curve.png
ADDED
|
Git LFS Details
|
v3_detection_model/BoxP_curve.png
ADDED
|
Git LFS Details
|
v3_detection_model/BoxR_curve.png
ADDED
|
Git LFS Details
|
v3_detection_model/args.yaml
ADDED
|
@@ -0,0 +1,109 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
task: detect
|
| 2 |
+
mode: train
|
| 3 |
+
model: yolo26m.pt
|
| 4 |
+
data: /content/dataset/Object Detection Dataset/data.yaml
|
| 5 |
+
epochs: 50
|
| 6 |
+
time: null
|
| 7 |
+
patience: 15
|
| 8 |
+
batch: 16
|
| 9 |
+
imgsz: 640
|
| 10 |
+
save: true
|
| 11 |
+
save_period: -1
|
| 12 |
+
cache: false
|
| 13 |
+
device: null
|
| 14 |
+
workers: 8
|
| 15 |
+
project: /content/drive/MyDrive/defect_project
|
| 16 |
+
name: v3_detection_model
|
| 17 |
+
exist_ok: false
|
| 18 |
+
pretrained: true
|
| 19 |
+
optimizer: AdamW
|
| 20 |
+
verbose: true
|
| 21 |
+
seed: 0
|
| 22 |
+
deterministic: true
|
| 23 |
+
single_cls: false
|
| 24 |
+
rect: false
|
| 25 |
+
cos_lr: true
|
| 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: 0.001
|
| 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 |
+
cls: 0.5
|
| 83 |
+
dfl: 1.5
|
| 84 |
+
pose: 12.0
|
| 85 |
+
kobj: 1.0
|
| 86 |
+
rle: 1.0
|
| 87 |
+
angle: 1.0
|
| 88 |
+
nbs: 64
|
| 89 |
+
hsv_h: 0.015
|
| 90 |
+
hsv_s: 0.7
|
| 91 |
+
hsv_v: 0.4
|
| 92 |
+
degrees: 0.0
|
| 93 |
+
translate: 0.1
|
| 94 |
+
scale: 0.5
|
| 95 |
+
shear: 0.0
|
| 96 |
+
perspective: 0.0
|
| 97 |
+
flipud: 0.0
|
| 98 |
+
fliplr: 0.5
|
| 99 |
+
bgr: 0.0
|
| 100 |
+
mosaic: 1.0
|
| 101 |
+
mixup: 0.0
|
| 102 |
+
cutmix: 0.0
|
| 103 |
+
copy_paste: 0.0
|
| 104 |
+
copy_paste_mode: flip
|
| 105 |
+
auto_augment: randaugment
|
| 106 |
+
erasing: 0.4
|
| 107 |
+
cfg: null
|
| 108 |
+
tracker: botsort.yaml
|
| 109 |
+
save_dir: /content/drive/MyDrive/defect_project/v3_detection_model
|
v3_detection_model/confusion_matrix.png
ADDED
|
Git LFS Details
|
v3_detection_model/confusion_matrix_normalized.png
ADDED
|
Git LFS Details
|
v3_detection_model/labels.jpg
ADDED
|
Git LFS Details
|
v3_detection_model/results.csv
ADDED
|
@@ -0,0 +1,51 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 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 |
+
1,89.0796,1.79626,3.92856,0.02874,0.54905,0.10092,0.11108,0.04292,2.13023,3.53277,0.04831,0.000329114,0.000329114,0.0674177
|
| 3 |
+
2,157.849,1.7704,2.49365,0.0278,0.38852,0.30699,0.2033,0.07728,2.1655,2.70119,0.05161,0.0006618,0.0006618,0.0344171
|
| 4 |
+
3,225.62,1.80749,2.3055,0.0289,0.47338,0.40645,0.30207,0.10757,2.07482,2.61598,0.04754,0.000991894,0.000991894,0.00141383
|
| 5 |
+
4,293.389,1.77141,2.16778,0.02786,0.51129,0.35482,0.31365,0.1111,2.28323,2.95212,0.05235,0.000991232,0.000991232,0.000991232
|
| 6 |
+
5,360.335,1.75999,2.11901,0.02777,0.59955,0.49102,0.46926,0.17886,2.07476,2.03223,0.04756,0.000984449,0.000984449,0.000984449
|
| 7 |
+
6,428.749,1.73905,2.05337,0.02702,0.57655,0.46925,0.45598,0.19265,1.86733,2.02838,0.04116,0.000975773,0.000975773,0.000975773
|
| 8 |
+
7,497.343,1.73959,1.94253,0.02754,0.47471,0.44268,0.4523,0.16712,2.04823,2.097,0.04504,0.000965239,0.000965239,0.000965239
|
| 9 |
+
8,563.331,1.71791,1.8642,0.02662,0.51571,0.56829,0.52828,0.22646,1.81918,1.80829,0.04021,0.000952889,0.000952889,0.000952889
|
| 10 |
+
9,630.245,1.72434,1.86725,0.02694,0.42215,0.49072,0.4244,0.17308,2.07206,2.12294,0.04458,0.000938772,0.000938772,0.000938772
|
| 11 |
+
10,696.548,1.67146,1.82213,0.02549,0.47202,0.52304,0.50115,0.21355,1.90904,1.94278,0.0416,0.000922942,0.000922942,0.000922942
|
| 12 |
+
11,762.335,1.66589,1.83534,0.02614,0.52687,0.53776,0.52319,0.23833,1.81444,1.79003,0.03971,0.000905463,0.000905463,0.000905463
|
| 13 |
+
12,829.18,1.63557,1.75278,0.02499,0.51146,0.57506,0.56008,0.25335,1.775,1.69115,0.03791,0.000886404,0.000886404,0.000886404
|
| 14 |
+
13,895.636,1.67483,1.71007,0.02605,0.5711,0.56909,0.564,0.25089,1.80431,1.65458,0.03888,0.000865839,0.000865839,0.000865839
|
| 15 |
+
14,961.308,1.64147,1.73182,0.02533,0.51925,0.5037,0.49647,0.21279,1.9827,1.78355,0.0414,0.000843851,0.000843851,0.000843851
|
| 16 |
+
15,1026.66,1.63699,1.70532,0.0247,0.72282,0.53819,0.58799,0.2825,1.79785,1.55471,0.03794,0.000820525,0.000820525,0.000820525
|
| 17 |
+
16,1093.23,1.59517,1.72854,0.02423,0.49034,0.55804,0.54199,0.25596,1.67161,1.80595,0.03439,0.000795954,0.000795954,0.000795954
|
| 18 |
+
17,1158.52,1.57122,1.68331,0.02346,0.48395,0.56236,0.53626,0.24864,1.79864,1.75884,0.03758,0.000770234,0.000770234,0.000770234
|
| 19 |
+
18,1224.51,1.59352,1.66971,0.0243,0.70731,0.53049,0.59238,0.31322,1.57426,1.55885,0.03194,0.000743468,0.000743468,0.000743468
|
| 20 |
+
19,1291.17,1.57169,1.6398,0.02359,0.5357,0.5446,0.54813,0.2662,1.7179,1.71503,0.03615,0.000715761,0.000715761,0.000715761
|
| 21 |
+
20,1356.78,1.55527,1.62474,0.02336,0.5788,0.58775,0.60632,0.30428,1.6851,1.55567,0.03439,0.000687222,0.000687222,0.000687222
|
| 22 |
+
21,1421.93,1.52806,1.57364,0.02251,0.62473,0.56862,0.60995,0.29657,1.69574,1.54215,0.03472,0.000657963,0.000657963,0.000657963
|
| 23 |
+
22,1487.55,1.54429,1.58618,0.02338,0.57286,0.64191,0.63827,0.32824,1.61839,1.48903,0.03249,0.000628101,0.000628101,0.000628101
|
| 24 |
+
23,1553.96,1.53131,1.5539,0.02274,0.78474,0.56141,0.63615,0.32976,1.63906,1.3932,0.03328,0.000597754,0.000597754,0.000597754
|
| 25 |
+
24,1620.89,1.50736,1.53006,0.02283,0.68169,0.61145,0.67139,0.34564,1.62467,1.41451,0.0333,0.00056704,0.00056704,0.00056704
|
| 26 |
+
25,1687.15,1.52828,1.51225,0.02276,0.55938,0.64148,0.62045,0.30084,1.74214,1.48498,0.03452,0.000536081,0.000536081,0.000536081
|
| 27 |
+
26,1752.72,1.51066,1.45558,0.02249,0.61348,0.62782,0.66731,0.35478,1.57585,1.34762,0.03232,0.000505,0.000505,0.000505
|
| 28 |
+
27,1819.02,1.50124,1.43573,0.02239,0.61794,0.62154,0.64882,0.35056,1.61503,1.40754,0.03194,0.000473919,0.000473919,0.000473919
|
| 29 |
+
28,1884.69,1.47815,1.48714,0.02196,0.69898,0.59178,0.67274,0.36668,1.56562,1.36556,0.03139,0.00044296,0.00044296,0.00044296
|
| 30 |
+
29,1950.8,1.44221,1.40581,0.02088,0.58807,0.64954,0.64684,0.34973,1.60369,1.37545,0.03298,0.000412246,0.000412246,0.000412246
|
| 31 |
+
30,2016.04,1.42788,1.39646,0.02103,0.67997,0.60495,0.66079,0.36704,1.55371,1.33267,0.03175,0.000381899,0.000381899,0.000381899
|
| 32 |
+
31,2082.37,1.43365,1.3977,0.02107,0.59804,0.67404,0.67615,0.35735,1.56771,1.33184,0.03129,0.000352037,0.000352037,0.000352037
|
| 33 |
+
32,2148.18,1.40704,1.40199,0.02087,0.70141,0.64648,0.69044,0.38358,1.51408,1.30476,0.02982,0.000322778,0.000322778,0.000322778
|
| 34 |
+
33,2215.39,1.4216,1.37494,0.02073,0.69187,0.62626,0.68109,0.37565,1.52914,1.29181,0.03053,0.000294239,0.000294239,0.000294239
|
| 35 |
+
34,2280.89,1.40286,1.32639,0.02059,0.6614,0.66654,0.67921,0.37413,1.5604,1.28158,0.0296,0.000266532,0.000266532,0.000266532
|
| 36 |
+
35,2346.8,1.40249,1.32413,0.02039,0.72541,0.62235,0.68692,0.38446,1.51607,1.28796,0.02964,0.000239766,0.000239766,0.000239766
|
| 37 |
+
36,2413.38,1.39732,1.33502,0.02058,0.6872,0.62821,0.6997,0.3959,1.47855,1.25232,0.02879,0.000214046,0.000214046,0.000214046
|
| 38 |
+
37,2480.12,1.37303,1.31344,0.01971,0.64857,0.66695,0.69423,0.38721,1.52031,1.26978,0.02954,0.000189475,0.000189475,0.000189475
|
| 39 |
+
38,2545.76,1.3642,1.30738,0.01964,0.70905,0.64118,0.70198,0.39136,1.52466,1.23105,0.02983,0.000166149,0.000166149,0.000166149
|
| 40 |
+
39,2611.16,1.3641,1.27869,0.01945,0.70367,0.64402,0.69531,0.40946,1.45322,1.26073,0.02871,0.000144161,0.000144161,0.000144161
|
| 41 |
+
40,2677.71,1.35825,1.30608,0.01944,0.67781,0.65731,0.69479,0.39567,1.50285,1.23959,0.02944,0.000123596,0.000123596,0.000123596
|
| 42 |
+
41,2744.45,1.44358,1.29337,0.02838,0.67579,0.66383,0.69783,0.39372,1.52795,1.23429,0.03026,0.000104537,0.000104537,0.000104537
|
| 43 |
+
42,2809.57,1.39832,1.20662,0.02641,0.66152,0.66999,0.70064,0.39988,1.47842,1.2316,0.02913,8.70577e-05,8.70577e-05,8.70577e-05
|
| 44 |
+
43,2874.74,1.35821,1.15362,0.02579,0.6613,0.67466,0.70208,0.40187,1.50271,1.22465,0.02931,7.12282e-05,7.12282e-05,7.12282e-05
|
| 45 |
+
44,2939.12,1.3638,1.10062,0.02603,0.68319,0.6365,0.69916,0.40505,1.47743,1.21319,0.02884,5.71106e-05,5.71106e-05,5.71106e-05
|
| 46 |
+
45,3004.41,1.34387,1.11477,0.0258,0.66611,0.66693,0.69291,0.40121,1.4983,1.21916,0.02929,4.47606e-05,4.47606e-05,4.47606e-05
|
| 47 |
+
46,3068.83,1.3206,1.08664,0.02504,0.67617,0.66718,0.69995,0.40869,1.47701,1.19884,0.02894,3.4227e-05,3.4227e-05,3.4227e-05
|
| 48 |
+
47,3133.48,1.33216,1.07503,0.02545,0.69709,0.65978,0.70266,0.40666,1.48051,1.20738,0.02884,2.55513e-05,2.55513e-05,2.55513e-05
|
| 49 |
+
48,3198.28,1.32102,1.08492,0.02455,0.67873,0.66572,0.70128,0.40759,1.47648,1.21526,0.02869,1.87678e-05,1.87678e-05,1.87678e-05
|
| 50 |
+
49,3263.12,1.32365,1.07206,0.02487,0.66846,0.66556,0.70265,0.40954,1.4709,1.21834,0.02851,1.39032e-05,1.39032e-05,1.39032e-05
|
| 51 |
+
50,3328.79,1.32217,1.07499,0.02497,0.69552,0.65222,0.70201,0.40941,1.46893,1.2135,0.02851,1.09768e-05,1.09768e-05,1.09768e-05
|
v3_detection_model/results.png
ADDED
|
Git LFS Details
|
v3_detection_model/train_batch0.jpg
ADDED
|
Git LFS Details
|
v3_detection_model/train_batch1.jpg
ADDED
|
Git LFS Details
|
v3_detection_model/train_batch2.jpg
ADDED
|
Git LFS Details
|
v3_detection_model/train_batch3160.jpg
ADDED
|
Git LFS Details
|
v3_detection_model/train_batch3161.jpg
ADDED
|
Git LFS Details
|
v3_detection_model/train_batch3162.jpg
ADDED
|
Git LFS Details
|
v3_detection_model/val_batch0_labels.jpg
ADDED
|
Git LFS Details
|
v3_detection_model/val_batch0_pred.jpg
ADDED
|
Git LFS Details
|
v3_detection_model/val_batch1_labels.jpg
ADDED
|
Git LFS Details
|
v3_detection_model/val_batch1_pred.jpg
ADDED
|
Git LFS Details
|
v3_detection_model/val_batch2_labels.jpg
ADDED
|
Git LFS Details
|
v3_detection_model/val_batch2_pred.jpg
ADDED
|
Git LFS Details
|
v3_detection_model/weights/best.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:1964839ef9ced15585c359e471d0f650bf8dbfc5076c969826a34030d40a0ffa
|
| 3 |
+
size 44036569
|
v3_detection_model/weights/last.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:fe6099ec6525e1dcd05e98183099f627f4356d4caa81f9437c14d3ce424fa3e8
|
| 3 |
+
size 44036569
|