Datasets:
vlbthambawita
commited on
Commit
•
93baef7
1
Parent(s):
ed0e499
Uploading best checkpoints from different pretrained YOLOv5 models.
Browse filesThis view is limited to 50 files because it contains too many changes.
See raw diff
- best_checkpoints/.DS_Store +0 -0
- best_checkpoints/yolov5l/.DS_Store +0 -0
- best_checkpoints/yolov5l/F1_curve.png +3 -0
- best_checkpoints/yolov5l/PR_curve.png +3 -0
- best_checkpoints/yolov5l/P_curve.png +3 -0
- best_checkpoints/yolov5l/R_curve.png +3 -0
- best_checkpoints/yolov5l/confusion_matrix.png +3 -0
- best_checkpoints/yolov5l/events.out.tfevents.1660314749.mimir.471410.0 +3 -0
- best_checkpoints/yolov5l/hyp.yaml +28 -0
- best_checkpoints/yolov5l/labels.jpg +3 -0
- best_checkpoints/yolov5l/labels_correlogram.jpg +3 -0
- best_checkpoints/yolov5l/opt.yaml +38 -0
- best_checkpoints/yolov5l/results.csv +51 -0
- best_checkpoints/yolov5l/results.png +3 -0
- best_checkpoints/yolov5l/train_batch0.jpg +3 -0
- best_checkpoints/yolov5l/train_batch1.jpg +3 -0
- best_checkpoints/yolov5l/train_batch2.jpg +3 -0
- best_checkpoints/yolov5l/val_batch0_labels.jpg +3 -0
- best_checkpoints/yolov5l/val_batch0_pred.jpg +3 -0
- best_checkpoints/yolov5l/val_batch1_labels.jpg +3 -0
- best_checkpoints/yolov5l/val_batch1_pred.jpg +3 -0
- best_checkpoints/yolov5l/val_batch2_labels.jpg +3 -0
- best_checkpoints/yolov5l/val_batch2_pred.jpg +3 -0
- best_checkpoints/yolov5l/weights/best.pt +3 -0
- best_checkpoints/yolov5l/weights/last.pt +3 -0
- best_checkpoints/yolov5m/F1_curve.png +3 -0
- best_checkpoints/yolov5m/PR_curve.png +3 -0
- best_checkpoints/yolov5m/P_curve.png +3 -0
- best_checkpoints/yolov5m/R_curve.png +3 -0
- best_checkpoints/yolov5m/confusion_matrix.png +3 -0
- best_checkpoints/yolov5m/events.out.tfevents.1660303553.mimir.323018.0 +3 -0
- best_checkpoints/yolov5m/hyp.yaml +28 -0
- best_checkpoints/yolov5m/labels.jpg +3 -0
- best_checkpoints/yolov5m/labels_correlogram.jpg +3 -0
- best_checkpoints/yolov5m/opt.yaml +38 -0
- best_checkpoints/yolov5m/results.csv +51 -0
- best_checkpoints/yolov5m/results.png +3 -0
- best_checkpoints/yolov5m/train_batch0.jpg +3 -0
- best_checkpoints/yolov5m/train_batch1.jpg +3 -0
- best_checkpoints/yolov5m/train_batch2.jpg +3 -0
- best_checkpoints/yolov5m/val_batch0_labels.jpg +3 -0
- best_checkpoints/yolov5m/val_batch0_pred.jpg +3 -0
- best_checkpoints/yolov5m/val_batch1_labels.jpg +3 -0
- best_checkpoints/yolov5m/val_batch1_pred.jpg +3 -0
- best_checkpoints/yolov5m/val_batch2_labels.jpg +3 -0
- best_checkpoints/yolov5m/val_batch2_pred.jpg +3 -0
- best_checkpoints/yolov5m/weights/best.pt +3 -0
- best_checkpoints/yolov5m/weights/last.pt +3 -0
- best_checkpoints/yolov5n/.DS_Store +0 -0
- best_checkpoints/yolov5n/F1_curve.png +3 -0
best_checkpoints/.DS_Store
ADDED
Binary file (6.15 kB). View file
|
|
best_checkpoints/yolov5l/.DS_Store
ADDED
Binary file (8.2 kB). View file
|
|
best_checkpoints/yolov5l/F1_curve.png
ADDED
Git LFS Details
|
best_checkpoints/yolov5l/PR_curve.png
ADDED
Git LFS Details
|
best_checkpoints/yolov5l/P_curve.png
ADDED
Git LFS Details
|
best_checkpoints/yolov5l/R_curve.png
ADDED
Git LFS Details
|
best_checkpoints/yolov5l/confusion_matrix.png
ADDED
Git LFS Details
|
best_checkpoints/yolov5l/events.out.tfevents.1660314749.mimir.471410.0
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:c6c7bbd4121b9ae7768d042e4c02ecf1b0b1f3cdb3f870f7eacac40040ee654c
|
3 |
+
size 1331878
|
best_checkpoints/yolov5l/hyp.yaml
ADDED
@@ -0,0 +1,28 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
lr0: 0.01
|
2 |
+
lrf: 0.1
|
3 |
+
momentum: 0.937
|
4 |
+
weight_decay: 0.0005
|
5 |
+
warmup_epochs: 3.0
|
6 |
+
warmup_momentum: 0.8
|
7 |
+
warmup_bias_lr: 0.1
|
8 |
+
box: 0.05
|
9 |
+
cls: 0.5
|
10 |
+
cls_pw: 1.0
|
11 |
+
obj: 1.0
|
12 |
+
obj_pw: 1.0
|
13 |
+
iou_t: 0.2
|
14 |
+
anchor_t: 4.0
|
15 |
+
fl_gamma: 0.0
|
16 |
+
hsv_h: 0.015
|
17 |
+
hsv_s: 0.7
|
18 |
+
hsv_v: 0.4
|
19 |
+
degrees: 0.0
|
20 |
+
translate: 0.1
|
21 |
+
scale: 0.5
|
22 |
+
shear: 0.0
|
23 |
+
perspective: 0.0
|
24 |
+
flipud: 0.0
|
25 |
+
fliplr: 0.5
|
26 |
+
mosaic: 1.0
|
27 |
+
mixup: 0.0
|
28 |
+
copy_paste: 0.0
|
best_checkpoints/yolov5l/labels.jpg
ADDED
Git LFS Details
|
best_checkpoints/yolov5l/labels_correlogram.jpg
ADDED
Git LFS Details
|
best_checkpoints/yolov5l/opt.yaml
ADDED
@@ -0,0 +1,38 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
weights: yolov5l.pt
|
2 |
+
cfg: ''
|
3 |
+
data: VISEM_Tracking_after_index_corrections.yaml
|
4 |
+
hyp: data/hyps/hyp.scratch.yaml
|
5 |
+
epochs: 50
|
6 |
+
batch_size: 16
|
7 |
+
imgsz: 640
|
8 |
+
rect: false
|
9 |
+
resume: false
|
10 |
+
nosave: false
|
11 |
+
noval: false
|
12 |
+
noautoanchor: false
|
13 |
+
evolve: null
|
14 |
+
bucket: ''
|
15 |
+
cache: null
|
16 |
+
image_weights: false
|
17 |
+
device: '0'
|
18 |
+
multi_scale: false
|
19 |
+
single_cls: false
|
20 |
+
optimizer: SGD
|
21 |
+
sync_bn: false
|
22 |
+
workers: 8
|
23 |
+
project: runs/train
|
24 |
+
name: exp
|
25 |
+
exist_ok: false
|
26 |
+
quad: false
|
27 |
+
linear_lr: false
|
28 |
+
label_smoothing: 0.0
|
29 |
+
patience: 100
|
30 |
+
freeze:
|
31 |
+
- 0
|
32 |
+
save_period: -1
|
33 |
+
local_rank: -1
|
34 |
+
entity: null
|
35 |
+
upload_dataset: false
|
36 |
+
bbox_interval: -1
|
37 |
+
artifact_alias: latest
|
38 |
+
save_dir: runs/train/exp58
|
best_checkpoints/yolov5l/results.csv
ADDED
@@ -0,0 +1,51 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
epoch, train/box_loss, train/obj_loss, train/cls_loss, metrics/precision, metrics/recall, metrics/mAP_0.5,metrics/mAP_0.5:0.95, val/box_loss, val/obj_loss, val/cls_loss, x/lr0, x/lr1, x/lr2
|
2 |
+
0, 0.066245, 0.10754, 0.0089176, 0.26562, 0.22717, 0.16398, 0.051107, 0.057773, 0.1267, 0.011999, 0.0033311, 0.0033311, 0.07002
|
3 |
+
1, 0.047629, 0.093812, 0.002537, 0.43232, 0.25495, 0.22306, 0.077482, 0.056442, 0.13268, 0.012412, 0.0066585, 0.0066585, 0.040015
|
4 |
+
2, 0.040948, 0.084938, 0.0019318, 0.33949, 0.24396, 0.19746, 0.058702, 0.05882, 0.13692, 0.012503, 0.0099623, 0.0099623, 0.0099849
|
5 |
+
3, 0.035391, 0.078124, 0.0015507, 0.34197, 0.22378, 0.17908, 0.050572, 0.05776, 0.14138, 0.013541, 0.0099203, 0.0099203, 0.0099203
|
6 |
+
4, 0.031625, 0.073356, 0.0012838, 0.49559, 0.19075, 0.14622, 0.04145, 0.058511, 0.14436, 0.014551, 0.0099203, 0.0099203, 0.0099203
|
7 |
+
5, 0.029785, 0.070682, 0.0011681, 0.39066, 0.21946, 0.17171, 0.054488, 0.058527, 0.1466, 0.014708, 0.0098586, 0.0098586, 0.0098586
|
8 |
+
6, 0.028257, 0.068154, 0.0011282, 0.33833, 0.18915, 0.14299, 0.04355, 0.059518, 0.15041, 0.015047, 0.0097798, 0.0097798, 0.0097798
|
9 |
+
7, 0.027274, 0.066162, 0.001061, 0.32211, 0.21473, 0.16579, 0.046079, 0.059665, 0.14642, 0.01567, 0.009684, 0.009684, 0.009684
|
10 |
+
8, 0.026413, 0.065125, 0.0010229, 0.4634, 0.20299, 0.15724, 0.045013, 0.059131, 0.15094, 0.015358, 0.0095717, 0.0095717, 0.0095717
|
11 |
+
9, 0.025673, 0.063633, 0.0009872, 0.77832, 0.19324, 0.15207, 0.04625, 0.059988, 0.15282, 0.015791, 0.0094434, 0.0094434, 0.0094434
|
12 |
+
10, 0.025047, 0.062616, 0.00096655, 0.25264, 0.19145, 0.13652, 0.04026, 0.060503, 0.15671, 0.015993, 0.0092995, 0.0092995, 0.0092995
|
13 |
+
11, 0.024612, 0.061393, 0.0009294, 0.31169, 0.19618, 0.13705, 0.039289, 0.060799, 0.15912, 0.016078, 0.0091406, 0.0091406, 0.0091406
|
14 |
+
12, 0.024138, 0.060989, 0.00091894, 0.43393, 0.18678, 0.14238, 0.040388, 0.061461, 0.1555, 0.015107, 0.0089673, 0.0089673, 0.0089673
|
15 |
+
13, 0.023537, 0.059712, 0.00091638, 0.76563, 0.18388, 0.12829, 0.036765, 0.062005, 0.16097, 0.01472, 0.0087804, 0.0087804, 0.0087804
|
16 |
+
14, 0.023169, 0.059017, 0.0008879, 0.38878, 0.19326, 0.13572, 0.039224, 0.061436, 0.16256, 0.016874, 0.0085805, 0.0085805, 0.0085805
|
17 |
+
15, 0.022738, 0.058014, 0.00086786, 0.42185, 0.18743, 0.13293, 0.036795, 0.061136, 0.16077, 0.016639, 0.0083684, 0.0083684, 0.0083684
|
18 |
+
16, 0.022443, 0.0573, 0.00086512, 0.41201, 0.17412, 0.12226, 0.035036, 0.063898, 0.16303, 0.015428, 0.008145, 0.008145, 0.008145
|
19 |
+
17, 0.022127, 0.056803, 0.0008649, 0.60319, 0.17302, 0.11388, 0.033817, 0.06365, 0.16546, 0.01694, 0.0079112, 0.0079112, 0.0079112
|
20 |
+
18, 0.021741, 0.056029, 0.00083738, 0.67251, 0.17941, 0.12716, 0.037028, 0.062613, 0.16396, 0.01643, 0.0076679, 0.0076679, 0.0076679
|
21 |
+
19, 0.021424, 0.055367, 0.00083948, 0.36223, 0.18147, 0.12698, 0.038339, 0.06296, 0.16539, 0.01593, 0.007416, 0.007416, 0.007416
|
22 |
+
20, 0.021056, 0.054867, 0.0008263, 0.36938, 0.18376, 0.12734, 0.037401, 0.062452, 0.16492, 0.015849, 0.0071566, 0.0071566, 0.0071566
|
23 |
+
21, 0.02072, 0.053948, 0.0008097, 0.37889, 0.19991, 0.14534, 0.041599, 0.06284, 0.16258, 0.016135, 0.0068906, 0.0068906, 0.0068906
|
24 |
+
22, 0.020423, 0.0536, 0.00079723, 0.30596, 0.18637, 0.12292, 0.035276, 0.063951, 0.16561, 0.016881, 0.0066191, 0.0066191, 0.0066191
|
25 |
+
23, 0.02001, 0.05266, 0.00080659, 0.3265, 0.18741, 0.12762, 0.037742, 0.064125, 0.16704, 0.016745, 0.0063432, 0.0063432, 0.0063432
|
26 |
+
24, 0.019753, 0.052267, 0.0007776, 0.31455, 0.19477, 0.13497, 0.039372, 0.063075, 0.16718, 0.017125, 0.006064, 0.006064, 0.006064
|
27 |
+
25, 0.019461, 0.050968, 0.00078503, 0.30002, 0.19826, 0.14218, 0.042163, 0.06293, 0.16717, 0.017456, 0.0057826, 0.0057826, 0.0057826
|
28 |
+
26, 0.019185, 0.050877, 0.0007779, 0.33251, 0.19068, 0.135, 0.039757, 0.063215, 0.16848, 0.017412, 0.0055, 0.0055, 0.0055
|
29 |
+
27, 0.018852, 0.050021, 0.00075571, 0.33652, 0.18715, 0.128, 0.038051, 0.063603, 0.16815, 0.017387, 0.0052174, 0.0052174, 0.0052174
|
30 |
+
28, 0.018584, 0.04965, 0.00074939, 0.32061, 0.1932, 0.13118, 0.038863, 0.063461, 0.16763, 0.01782, 0.004936, 0.004936, 0.004936
|
31 |
+
29, 0.018354, 0.04913, 0.00073647, 0.30408, 0.19247, 0.13079, 0.038496, 0.063379, 0.16775, 0.017802, 0.0046568, 0.0046568, 0.0046568
|
32 |
+
30, 0.017922, 0.048151, 0.00072252, 0.31544, 0.1955, 0.13766, 0.040196, 0.063105, 0.16766, 0.017238, 0.0043809, 0.0043809, 0.0043809
|
33 |
+
31, 0.017772, 0.047795, 0.00071898, 0.31777, 0.1965, 0.13896, 0.040242, 0.063302, 0.16713, 0.016937, 0.0041094, 0.0041094, 0.0041094
|
34 |
+
32, 0.017443, 0.04697, 0.00069835, 0.34789, 0.1963, 0.14199, 0.041442, 0.063398, 0.16703, 0.016983, 0.0038434, 0.0038434, 0.0038434
|
35 |
+
33, 0.017146, 0.046242, 0.00068982, 0.34345, 0.1955, 0.14236, 0.042007, 0.063542, 0.16743, 0.017135, 0.003584, 0.003584, 0.003584
|
36 |
+
34, 0.016901, 0.045688, 0.00069999, 0.3461, 0.19508, 0.14345, 0.042021, 0.063512, 0.16884, 0.017042, 0.0033321, 0.0033321, 0.0033321
|
37 |
+
35, 0.01661, 0.045114, 0.00067172, 0.32901, 0.1955, 0.14228, 0.041839, 0.063626, 0.16938, 0.017047, 0.0030888, 0.0030888, 0.0030888
|
38 |
+
36, 0.016388, 0.044468, 0.00066583, 0.34566, 0.19424, 0.14255, 0.042169, 0.063653, 0.16961, 0.017103, 0.002855, 0.002855, 0.002855
|
39 |
+
37, 0.016242, 0.044156, 0.00065963, 0.33753, 0.19533, 0.145, 0.04324, 0.063697, 0.16978, 0.017148, 0.0026316, 0.0026316, 0.0026316
|
40 |
+
38, 0.015988, 0.04349, 0.00066479, 0.33358, 0.19521, 0.14643, 0.044012, 0.063725, 0.17001, 0.017233, 0.0024195, 0.0024195, 0.0024195
|
41 |
+
39, 0.015724, 0.043039, 0.00065073, 0.32191, 0.19476, 0.14649, 0.044132, 0.063773, 0.17045, 0.017226, 0.0022196, 0.0022196, 0.0022196
|
42 |
+
40, 0.015546, 0.04255, 0.00063961, 0.30407, 0.19502, 0.14608, 0.04422, 0.063794, 0.17089, 0.017223, 0.0020327, 0.0020327, 0.0020327
|
43 |
+
41, 0.015293, 0.041781, 0.00063168, 0.29336, 0.19558, 0.14643, 0.044295, 0.063887, 0.17117, 0.017232, 0.0018594, 0.0018594, 0.0018594
|
44 |
+
42, 0.015125, 0.041613, 0.00063481, 0.30369, 0.19409, 0.14663, 0.044205, 0.063915, 0.17159, 0.017251, 0.0017005, 0.0017005, 0.0017005
|
45 |
+
43, 0.014999, 0.040969, 0.00062819, 0.29641, 0.19468, 0.1466, 0.044236, 0.063936, 0.17182, 0.017294, 0.0015566, 0.0015566, 0.0015566
|
46 |
+
44, 0.014781, 0.040732, 0.00061888, 0.29437, 0.19493, 0.14685, 0.044355, 0.063971, 0.1721, 0.017358, 0.0014283, 0.0014283, 0.0014283
|
47 |
+
45, 0.014647, 0.040079, 0.00061726, 0.29305, 0.19531, 0.14736, 0.044502, 0.064021, 0.17237, 0.017399, 0.001316, 0.001316, 0.001316
|
48 |
+
46, 0.014533, 0.04019, 0.0006044, 0.28713, 0.19626, 0.14791, 0.044729, 0.064044, 0.17264, 0.017421, 0.0012202, 0.0012202, 0.0012202
|
49 |
+
47, 0.014472, 0.039847, 0.00061926, 0.31328, 0.19368, 0.14858, 0.044828, 0.064087, 0.1729, 0.017432, 0.0011414, 0.0011414, 0.0011414
|
50 |
+
48, 0.01426, 0.03893, 0.00060388, 0.31893, 0.19337, 0.14936, 0.045039, 0.064121, 0.17317, 0.017444, 0.0010797, 0.0010797, 0.0010797
|
51 |
+
49, 0.014149, 0.039278, 0.00061011, 0.3198, 0.19328, 0.14965, 0.044983, 0.06416, 0.1735, 0.017456, 0.0010355, 0.0010355, 0.0010355
|
best_checkpoints/yolov5l/results.png
ADDED
Git LFS Details
|
best_checkpoints/yolov5l/train_batch0.jpg
ADDED
Git LFS Details
|
best_checkpoints/yolov5l/train_batch1.jpg
ADDED
Git LFS Details
|
best_checkpoints/yolov5l/train_batch2.jpg
ADDED
Git LFS Details
|
best_checkpoints/yolov5l/val_batch0_labels.jpg
ADDED
Git LFS Details
|
best_checkpoints/yolov5l/val_batch0_pred.jpg
ADDED
Git LFS Details
|
best_checkpoints/yolov5l/val_batch1_labels.jpg
ADDED
Git LFS Details
|
best_checkpoints/yolov5l/val_batch1_pred.jpg
ADDED
Git LFS Details
|
best_checkpoints/yolov5l/val_batch2_labels.jpg
ADDED
Git LFS Details
|
best_checkpoints/yolov5l/val_batch2_pred.jpg
ADDED
Git LFS Details
|
best_checkpoints/yolov5l/weights/best.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:46b6f696addd77ccb2faa1322850af833da2895e199e3698adb83cdfc83f0cf8
|
3 |
+
size 92844901
|
best_checkpoints/yolov5l/weights/last.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:3edff001a9188a5c263e249c13901d86399760c953e1399fe4e0397cebdde409
|
3 |
+
size 92844901
|
best_checkpoints/yolov5m/F1_curve.png
ADDED
Git LFS Details
|
best_checkpoints/yolov5m/PR_curve.png
ADDED
Git LFS Details
|
best_checkpoints/yolov5m/P_curve.png
ADDED
Git LFS Details
|
best_checkpoints/yolov5m/R_curve.png
ADDED
Git LFS Details
|
best_checkpoints/yolov5m/confusion_matrix.png
ADDED
Git LFS Details
|
best_checkpoints/yolov5m/events.out.tfevents.1660303553.mimir.323018.0
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:d6dc1b6d3097149caee1523d0e8cfef48dae4f5b9442e65e8294eff470f29769
|
3 |
+
size 1216505
|
best_checkpoints/yolov5m/hyp.yaml
ADDED
@@ -0,0 +1,28 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
lr0: 0.01
|
2 |
+
lrf: 0.1
|
3 |
+
momentum: 0.937
|
4 |
+
weight_decay: 0.0005
|
5 |
+
warmup_epochs: 3.0
|
6 |
+
warmup_momentum: 0.8
|
7 |
+
warmup_bias_lr: 0.1
|
8 |
+
box: 0.05
|
9 |
+
cls: 0.5
|
10 |
+
cls_pw: 1.0
|
11 |
+
obj: 1.0
|
12 |
+
obj_pw: 1.0
|
13 |
+
iou_t: 0.2
|
14 |
+
anchor_t: 4.0
|
15 |
+
fl_gamma: 0.0
|
16 |
+
hsv_h: 0.015
|
17 |
+
hsv_s: 0.7
|
18 |
+
hsv_v: 0.4
|
19 |
+
degrees: 0.0
|
20 |
+
translate: 0.1
|
21 |
+
scale: 0.5
|
22 |
+
shear: 0.0
|
23 |
+
perspective: 0.0
|
24 |
+
flipud: 0.0
|
25 |
+
fliplr: 0.5
|
26 |
+
mosaic: 1.0
|
27 |
+
mixup: 0.0
|
28 |
+
copy_paste: 0.0
|
best_checkpoints/yolov5m/labels.jpg
ADDED
Git LFS Details
|
best_checkpoints/yolov5m/labels_correlogram.jpg
ADDED
Git LFS Details
|
best_checkpoints/yolov5m/opt.yaml
ADDED
@@ -0,0 +1,38 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
weights: yolov5m.pt
|
2 |
+
cfg: ''
|
3 |
+
data: VISEM_Tracking_after_index_corrections.yaml
|
4 |
+
hyp: data/hyps/hyp.scratch.yaml
|
5 |
+
epochs: 50
|
6 |
+
batch_size: 16
|
7 |
+
imgsz: 640
|
8 |
+
rect: false
|
9 |
+
resume: false
|
10 |
+
nosave: false
|
11 |
+
noval: false
|
12 |
+
noautoanchor: false
|
13 |
+
evolve: null
|
14 |
+
bucket: ''
|
15 |
+
cache: null
|
16 |
+
image_weights: false
|
17 |
+
device: '0'
|
18 |
+
multi_scale: false
|
19 |
+
single_cls: false
|
20 |
+
optimizer: SGD
|
21 |
+
sync_bn: false
|
22 |
+
workers: 8
|
23 |
+
project: runs/train
|
24 |
+
name: exp
|
25 |
+
exist_ok: false
|
26 |
+
quad: false
|
27 |
+
linear_lr: false
|
28 |
+
label_smoothing: 0.0
|
29 |
+
patience: 100
|
30 |
+
freeze:
|
31 |
+
- 0
|
32 |
+
save_period: -1
|
33 |
+
local_rank: -1
|
34 |
+
entity: null
|
35 |
+
upload_dataset: false
|
36 |
+
bbox_interval: -1
|
37 |
+
artifact_alias: latest
|
38 |
+
save_dir: runs/train/exp57
|
best_checkpoints/yolov5m/results.csv
ADDED
@@ -0,0 +1,51 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
epoch, train/box_loss, train/obj_loss, train/cls_loss, metrics/precision, metrics/recall, metrics/mAP_0.5,metrics/mAP_0.5:0.95, val/box_loss, val/obj_loss, val/cls_loss, x/lr0, x/lr1, x/lr2
|
2 |
+
0, 0.066478, 0.10851, 0.0095315, 0.57119, 0.22791, 0.2216, 0.065523, 0.053624, 0.12022, 0.011471, 0.0033311, 0.0033311, 0.07002
|
3 |
+
1, 0.047603, 0.093463, 0.0030279, 0.27008, 0.23885, 0.18139, 0.054122, 0.056219, 0.12876, 0.01044, 0.0066585, 0.0066585, 0.040015
|
4 |
+
2, 0.041899, 0.086756, 0.0019697, 0.70484, 0.20824, 0.16651, 0.047206, 0.058827, 0.13226, 0.012723, 0.0099623, 0.0099623, 0.0099849
|
5 |
+
3, 0.0363, 0.080823, 0.0015784, 0.23711, 0.21597, 0.14589, 0.042391, 0.058747, 0.14183, 0.013198, 0.0099203, 0.0099203, 0.0099203
|
6 |
+
4, 0.032795, 0.075992, 0.0013293, 0.45001, 0.19993, 0.16588, 0.044751, 0.057023, 0.13585, 0.016033, 0.0099203, 0.0099203, 0.0099203
|
7 |
+
5, 0.030812, 0.07335, 0.0012009, 0.58901, 0.21317, 0.1576, 0.04477, 0.058415, 0.14472, 0.013576, 0.0098586, 0.0098586, 0.0098586
|
8 |
+
6, 0.029561, 0.070617, 0.0011219, 0.288, 0.21438, 0.15773, 0.045556, 0.05883, 0.14721, 0.013658, 0.0097798, 0.0097798, 0.0097798
|
9 |
+
7, 0.028516, 0.069531, 0.001077, 0.39634, 0.19705, 0.15253, 0.043175, 0.059923, 0.14437, 0.015228, 0.009684, 0.009684, 0.009684
|
10 |
+
8, 0.02764, 0.067361, 0.001035, 0.33001, 0.19011, 0.14561, 0.040497, 0.059791, 0.14815, 0.013981, 0.0095717, 0.0095717, 0.0095717
|
11 |
+
9, 0.026915, 0.066508, 0.0010018, 0.35898, 0.21298, 0.15398, 0.041018, 0.060494, 0.14836, 0.014319, 0.0094434, 0.0094434, 0.0094434
|
12 |
+
10, 0.026428, 0.065079, 0.00096591, 0.30494, 0.21028, 0.15231, 0.042767, 0.060524, 0.15047, 0.013902, 0.0092995, 0.0092995, 0.0092995
|
13 |
+
11, 0.025846, 0.064335, 0.00095886, 0.43763, 0.18849, 0.14901, 0.042984, 0.060488, 0.15191, 0.015457, 0.0091406, 0.0091406, 0.0091406
|
14 |
+
12, 0.025443, 0.063532, 0.00093981, 0.3636, 0.19879, 0.14614, 0.03973, 0.061772, 0.15223, 0.015062, 0.0089673, 0.0089673, 0.0089673
|
15 |
+
13, 0.024964, 0.062713, 0.00092267, 0.40721, 0.17619, 0.12719, 0.037587, 0.062383, 0.15784, 0.014852, 0.0087804, 0.0087804, 0.0087804
|
16 |
+
14, 0.024497, 0.061848, 0.00090893, 0.39788, 0.18685, 0.13666, 0.037538, 0.062533, 0.1546, 0.0155, 0.0085805, 0.0085805, 0.0085805
|
17 |
+
15, 0.02426, 0.061229, 0.0009003, 0.31746, 0.18071, 0.12738, 0.035839, 0.062736, 0.15639, 0.01528, 0.0083684, 0.0083684, 0.0083684
|
18 |
+
16, 0.023818, 0.060626, 0.00089261, 0.35393, 0.17365, 0.12289, 0.033599, 0.062651, 0.15729, 0.014802, 0.008145, 0.008145, 0.008145
|
19 |
+
17, 0.023345, 0.059774, 0.00085889, 0.37168, 0.18025, 0.13346, 0.037301, 0.062652, 0.15845, 0.014203, 0.0079112, 0.0079112, 0.0079112
|
20 |
+
18, 0.023106, 0.059329, 0.00087473, 0.422, 0.18309, 0.13516, 0.038267, 0.062202, 0.15853, 0.014178, 0.0076679, 0.0076679, 0.0076679
|
21 |
+
19, 0.022746, 0.058643, 0.00085232, 0.40359, 0.17629, 0.12773, 0.036036, 0.063391, 0.15874, 0.015364, 0.007416, 0.007416, 0.007416
|
22 |
+
20, 0.022471, 0.058085, 0.00082899, 0.72096, 0.17713, 0.12978, 0.038155, 0.06267, 0.15884, 0.014429, 0.0071566, 0.0071566, 0.0071566
|
23 |
+
21, 0.022205, 0.057707, 0.00083642, 0.3612, 0.17424, 0.1321, 0.036907, 0.063079, 0.1587, 0.015598, 0.0068906, 0.0068906, 0.0068906
|
24 |
+
22, 0.021837, 0.056859, 0.00081369, 0.73732, 0.17408, 0.12573, 0.03574, 0.062616, 0.16046, 0.015749, 0.0066191, 0.0066191, 0.0066191
|
25 |
+
23, 0.021631, 0.056391, 0.00082216, 0.40768, 0.17338, 0.12654, 0.034939, 0.062812, 0.15973, 0.014894, 0.0063432, 0.0063432, 0.0063432
|
26 |
+
24, 0.021225, 0.055712, 0.0008037, 0.408, 0.17368, 0.12838, 0.036712, 0.062972, 0.15953, 0.014499, 0.006064, 0.006064, 0.006064
|
27 |
+
25, 0.02097, 0.055442, 0.00078154, 0.42215, 0.16854, 0.12061, 0.034229, 0.063512, 0.16046, 0.014686, 0.0057826, 0.0057826, 0.0057826
|
28 |
+
26, 0.020593, 0.054316, 0.00076938, 0.40948, 0.16951, 0.11376, 0.031789, 0.063326, 0.16235, 0.01479, 0.0055, 0.0055, 0.0055
|
29 |
+
27, 0.020366, 0.053511, 0.0007598, 0.40104, 0.17046, 0.1183, 0.032603, 0.06365, 0.16276, 0.015098, 0.0052174, 0.0052174, 0.0052174
|
30 |
+
28, 0.020114, 0.05337, 0.00075442, 0.40109, 0.17149, 0.12121, 0.033592, 0.063809, 0.16178, 0.015525, 0.004936, 0.004936, 0.004936
|
31 |
+
29, 0.019876, 0.052571, 0.00074729, 0.4008, 0.17543, 0.12317, 0.034172, 0.063436, 0.16141, 0.015646, 0.0046568, 0.0046568, 0.0046568
|
32 |
+
30, 0.019556, 0.052349, 0.00074319, 0.40336, 0.17487, 0.1284, 0.035794, 0.063455, 0.16177, 0.015512, 0.0043809, 0.0043809, 0.0043809
|
33 |
+
31, 0.019268, 0.051798, 0.00072424, 0.40404, 0.17267, 0.12785, 0.035614, 0.063632, 0.16264, 0.015531, 0.0041094, 0.0041094, 0.0041094
|
34 |
+
32, 0.01912, 0.050896, 0.00073171, 0.41387, 0.17341, 0.12939, 0.035637, 0.063912, 0.16214, 0.015559, 0.0038434, 0.0038434, 0.0038434
|
35 |
+
33, 0.01878, 0.050371, 0.00072244, 0.41323, 0.17391, 0.12783, 0.035455, 0.063911, 0.16278, 0.015485, 0.003584, 0.003584, 0.003584
|
36 |
+
34, 0.018514, 0.050192, 0.00069837, 0.39492, 0.17335, 0.12765, 0.035634, 0.064004, 0.1628, 0.015644, 0.0033321, 0.0033321, 0.0033321
|
37 |
+
35, 0.018223, 0.049508, 0.00069797, 0.39081, 0.17477, 0.12832, 0.035998, 0.064206, 0.16333, 0.015888, 0.0030888, 0.0030888, 0.0030888
|
38 |
+
36, 0.018045, 0.04921, 0.00069642, 0.36846, 0.17743, 0.12922, 0.036221, 0.064225, 0.16388, 0.016018, 0.002855, 0.002855, 0.002855
|
39 |
+
37, 0.017766, 0.0485, 0.00067271, 0.39227, 0.17456, 0.12872, 0.036043, 0.064183, 0.16436, 0.016151, 0.0026316, 0.0026316, 0.0026316
|
40 |
+
38, 0.017607, 0.047831, 0.00066526, 0.38378, 0.17689, 0.12921, 0.036281, 0.064112, 0.16474, 0.016183, 0.0024195, 0.0024195, 0.0024195
|
41 |
+
39, 0.01734, 0.04783, 0.00067038, 0.39542, 0.17276, 0.12968, 0.036256, 0.064054, 0.16534, 0.016221, 0.0022196, 0.0022196, 0.0022196
|
42 |
+
40, 0.017175, 0.046997, 0.00067596, 0.40668, 0.17237, 0.13027, 0.037027, 0.063953, 0.16567, 0.016325, 0.0020327, 0.0020327, 0.0020327
|
43 |
+
41, 0.017038, 0.046507, 0.00066769, 0.40087, 0.17179, 0.13019, 0.036892, 0.06392, 0.16589, 0.016371, 0.0018594, 0.0018594, 0.0018594
|
44 |
+
42, 0.016855, 0.046177, 0.00065512, 0.39526, 0.17262, 0.13042, 0.036948, 0.063909, 0.1662, 0.01637, 0.0017005, 0.0017005, 0.0017005
|
45 |
+
43, 0.016569, 0.045674, 0.00065137, 0.39945, 0.17328, 0.13055, 0.037092, 0.063932, 0.1665, 0.016426, 0.0015566, 0.0015566, 0.0015566
|
46 |
+
44, 0.016441, 0.044922, 0.00063409, 0.40554, 0.1732, 0.13042, 0.037093, 0.063988, 0.16682, 0.016446, 0.0014283, 0.0014283, 0.0014283
|
47 |
+
45, 0.016325, 0.045224, 0.00064481, 0.40211, 0.17519, 0.13059, 0.037099, 0.064011, 0.16711, 0.01651, 0.001316, 0.001316, 0.001316
|
48 |
+
46, 0.01617, 0.044339, 0.00062187, 0.41262, 0.17091, 0.13059, 0.037092, 0.064032, 0.16731, 0.016582, 0.0012202, 0.0012202, 0.0012202
|
49 |
+
47, 0.016138, 0.044074, 0.0006353, 0.41615, 0.17074, 0.13089, 0.037148, 0.064054, 0.16752, 0.016619, 0.0011414, 0.0011414, 0.0011414
|
50 |
+
48, 0.015987, 0.044106, 0.00063223, 0.41429, 0.17106, 0.13136, 0.037234, 0.064091, 0.16769, 0.016667, 0.0010797, 0.0010797, 0.0010797
|
51 |
+
49, 0.015993, 0.044084, 0.00062792, 0.41189, 0.17133, 0.13117, 0.037181, 0.06415, 0.16788, 0.016699, 0.0010355, 0.0010355, 0.0010355
|
best_checkpoints/yolov5m/results.png
ADDED
Git LFS Details
|
best_checkpoints/yolov5m/train_batch0.jpg
ADDED
Git LFS Details
|
best_checkpoints/yolov5m/train_batch1.jpg
ADDED
Git LFS Details
|
best_checkpoints/yolov5m/train_batch2.jpg
ADDED
Git LFS Details
|
best_checkpoints/yolov5m/val_batch0_labels.jpg
ADDED
Git LFS Details
|
best_checkpoints/yolov5m/val_batch0_pred.jpg
ADDED
Git LFS Details
|
best_checkpoints/yolov5m/val_batch1_labels.jpg
ADDED
Git LFS Details
|
best_checkpoints/yolov5m/val_batch1_pred.jpg
ADDED
Git LFS Details
|
best_checkpoints/yolov5m/val_batch2_labels.jpg
ADDED
Git LFS Details
|
best_checkpoints/yolov5m/val_batch2_pred.jpg
ADDED
Git LFS Details
|
best_checkpoints/yolov5m/weights/best.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:8c075e59900c753582bbb5f1ba6f692600ff008e6cd232fadc4221cabb3711c3
|
3 |
+
size 42204269
|
best_checkpoints/yolov5m/weights/last.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:13087c4ecd53b8b9aa4228158f03c9d4e69dd9348b831b10e8c9b4163e734608
|
3 |
+
size 42204269
|
best_checkpoints/yolov5n/.DS_Store
ADDED
Binary file (8.2 kB). View file
|
|
best_checkpoints/yolov5n/F1_curve.png
ADDED
Git LFS Details
|