update1
@ -0,0 +1,58 @@
|
|||||||
|
# 지능화 캡스톤 프로젝트 #2 - YOLOv5 안전모 검출
|
||||||
|
|
||||||
|
-----
|
||||||
|
|
||||||
|
|
||||||
|
[PINBlog Gitea Repository](https://gitea.pinblog.codes/CBNU/19_YOLOv5)
|
||||||
|
* 제출했던 프로젝트 코드가 날라가서 일부만 존재함;;
|
||||||
|
|
||||||
|
-----
|
||||||
|
|
||||||
|
### YOLOv5 GitHub
|
||||||
|
[YOLOv5](https://github.com/ultralytics/yolov5)
|
||||||
|
|
||||||
|
|
||||||
|
# 프로젝트 목표
|
||||||
|
* YOLOv5 모델을 학습하여 영상의 안전모와 마스크를 검출
|
||||||
|
|
||||||
|
# 구현 방법
|
||||||
|
* 일반적인 1개의 모델로 여러 클래스를 학습하지 않고, Detect Model로 머리를 검출하여 ROI 취득 후,
|
||||||
|
해당 ROI를 Crop하여 Classification Model로 안전모, 마스크, 미착용 등을 분류한다.
|
||||||
|
|
||||||
|
# 데이터셋
|
||||||
|
* YouTube, Google, AIHub, Kaggle에서 안전모 관련 데이터셋 확보
|
||||||
|
* Roboflow에서 데이터셋 라벨링 진행
|
||||||
|
[Roboflow](https://roboflow.com/)
|
||||||
|
|
||||||
|
# 클래스
|
||||||
|
### Detect Model
|
||||||
|
* 1개의 뚝배기 클래스
|
||||||
|
* 0: dduk
|
||||||
|
|
||||||
|
### Classification Model
|
||||||
|
* 5개의 클래스
|
||||||
|
* 0: head
|
||||||
|
* 1: helmet
|
||||||
|
* 2: face
|
||||||
|
* 3: mask
|
||||||
|
* 4: helmet & mask
|
||||||
|
|
||||||
|
# 프로젝트 코드 (Validation)
|
||||||
|
|
||||||
|
<details>
|
||||||
|
<summary></summary>
|
||||||
|
<div markdown="1">
|
||||||
|
|
||||||
|
|
||||||
|
``` planetext
|
||||||
|
|
||||||
|
|
||||||
|
```
|
||||||
|
|
||||||
|
</div>
|
||||||
|
</details>
|
||||||
|
|
||||||
|
|
||||||
|
### 참고[¶]()
|
||||||
|
|
||||||
|
- 지능화캡스톤 과목, 김현용 교수
|
Before Width: | Height: | Size: 90 KiB After Width: | Height: | Size: 90 KiB |
Before Width: | Height: | Size: 90 KiB After Width: | Height: | Size: 90 KiB |
Before Width: | Height: | Size: 88 KiB After Width: | Height: | Size: 88 KiB |
Before Width: | Height: | Size: 91 KiB After Width: | Height: | Size: 91 KiB |
Before Width: | Height: | Size: 80 KiB After Width: | Height: | Size: 80 KiB |
@ -1,28 +1,28 @@
|
|||||||
lr0: 0.01
|
lr0: 0.01
|
||||||
lrf: 0.01
|
lrf: 0.01
|
||||||
momentum: 0.937
|
momentum: 0.937
|
||||||
weight_decay: 0.0005
|
weight_decay: 0.0005
|
||||||
warmup_epochs: 3.0
|
warmup_epochs: 3.0
|
||||||
warmup_momentum: 0.8
|
warmup_momentum: 0.8
|
||||||
warmup_bias_lr: 0.1
|
warmup_bias_lr: 0.1
|
||||||
box: 0.05
|
box: 0.05
|
||||||
cls: 0.5
|
cls: 0.5
|
||||||
cls_pw: 1.0
|
cls_pw: 1.0
|
||||||
obj: 1.0
|
obj: 1.0
|
||||||
obj_pw: 1.0
|
obj_pw: 1.0
|
||||||
iou_t: 0.2
|
iou_t: 0.2
|
||||||
anchor_t: 4.0
|
anchor_t: 4.0
|
||||||
fl_gamma: 0.0
|
fl_gamma: 0.0
|
||||||
hsv_h: 0.015
|
hsv_h: 0.015
|
||||||
hsv_s: 0.7
|
hsv_s: 0.7
|
||||||
hsv_v: 0.4
|
hsv_v: 0.4
|
||||||
degrees: 0.0
|
degrees: 0.0
|
||||||
translate: 0.1
|
translate: 0.1
|
||||||
scale: 0.5
|
scale: 0.5
|
||||||
shear: 0.0
|
shear: 0.0
|
||||||
perspective: 0.0
|
perspective: 0.0
|
||||||
flipud: 0.0
|
flipud: 0.0
|
||||||
fliplr: 0.5
|
fliplr: 0.5
|
||||||
mosaic: 1.0
|
mosaic: 1.0
|
||||||
mixup: 0.0
|
mixup: 0.0
|
||||||
copy_paste: 0.0
|
copy_paste: 0.0
|
Before Width: | Height: | Size: 125 KiB After Width: | Height: | Size: 125 KiB |
Before Width: | Height: | Size: 264 KiB After Width: | Height: | Size: 264 KiB |
@ -1,68 +1,68 @@
|
|||||||
weights: yolov5s.pt
|
weights: yolov5s.pt
|
||||||
cfg: ''
|
cfg: ''
|
||||||
data: datasets/DDukbaegi2/data.yaml
|
data: datasets/DDukbaegi2/data.yaml
|
||||||
hyp:
|
hyp:
|
||||||
lr0: 0.01
|
lr0: 0.01
|
||||||
lrf: 0.01
|
lrf: 0.01
|
||||||
momentum: 0.937
|
momentum: 0.937
|
||||||
weight_decay: 0.0005
|
weight_decay: 0.0005
|
||||||
warmup_epochs: 3.0
|
warmup_epochs: 3.0
|
||||||
warmup_momentum: 0.8
|
warmup_momentum: 0.8
|
||||||
warmup_bias_lr: 0.1
|
warmup_bias_lr: 0.1
|
||||||
box: 0.05
|
box: 0.05
|
||||||
cls: 0.5
|
cls: 0.5
|
||||||
cls_pw: 1.0
|
cls_pw: 1.0
|
||||||
obj: 1.0
|
obj: 1.0
|
||||||
obj_pw: 1.0
|
obj_pw: 1.0
|
||||||
iou_t: 0.2
|
iou_t: 0.2
|
||||||
anchor_t: 4.0
|
anchor_t: 4.0
|
||||||
fl_gamma: 0.0
|
fl_gamma: 0.0
|
||||||
hsv_h: 0.015
|
hsv_h: 0.015
|
||||||
hsv_s: 0.7
|
hsv_s: 0.7
|
||||||
hsv_v: 0.4
|
hsv_v: 0.4
|
||||||
degrees: 0.0
|
degrees: 0.0
|
||||||
translate: 0.1
|
translate: 0.1
|
||||||
scale: 0.5
|
scale: 0.5
|
||||||
shear: 0.0
|
shear: 0.0
|
||||||
perspective: 0.0
|
perspective: 0.0
|
||||||
flipud: 0.0
|
flipud: 0.0
|
||||||
fliplr: 0.5
|
fliplr: 0.5
|
||||||
mosaic: 1.0
|
mosaic: 1.0
|
||||||
mixup: 0.0
|
mixup: 0.0
|
||||||
copy_paste: 0.0
|
copy_paste: 0.0
|
||||||
epochs: 80
|
epochs: 80
|
||||||
batch_size: 60
|
batch_size: 60
|
||||||
imgsz: 640
|
imgsz: 640
|
||||||
rect: false
|
rect: false
|
||||||
resume: false
|
resume: false
|
||||||
nosave: false
|
nosave: false
|
||||||
noval: false
|
noval: false
|
||||||
noautoanchor: false
|
noautoanchor: false
|
||||||
noplots: false
|
noplots: false
|
||||||
evolve: null
|
evolve: null
|
||||||
bucket: ''
|
bucket: ''
|
||||||
cache: null
|
cache: null
|
||||||
image_weights: false
|
image_weights: false
|
||||||
device: ''
|
device: ''
|
||||||
multi_scale: false
|
multi_scale: false
|
||||||
single_cls: false
|
single_cls: false
|
||||||
optimizer: SGD
|
optimizer: SGD
|
||||||
sync_bn: false
|
sync_bn: false
|
||||||
workers: 8
|
workers: 8
|
||||||
project: runs\train
|
project: runs\train
|
||||||
name: dduk_64_
|
name: dduk_64_
|
||||||
exist_ok: false
|
exist_ok: false
|
||||||
quad: false
|
quad: false
|
||||||
cos_lr: false
|
cos_lr: false
|
||||||
label_smoothing: 0.0
|
label_smoothing: 0.0
|
||||||
patience: 100
|
patience: 100
|
||||||
freeze:
|
freeze:
|
||||||
- 0
|
- 0
|
||||||
save_period: -1
|
save_period: -1
|
||||||
seed: 0
|
seed: 0
|
||||||
local_rank: -1
|
local_rank: -1
|
||||||
entity: null
|
entity: null
|
||||||
upload_dataset: false
|
upload_dataset: false
|
||||||
bbox_interval: -1
|
bbox_interval: -1
|
||||||
artifact_alias: latest
|
artifact_alias: latest
|
||||||
save_dir: runs\train\dduk_64_
|
save_dir: runs\train\dduk_64_
|
@ -1,81 +1,81 @@
|
|||||||
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
|
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
|
||||||
0, 0.068575, 0.039993, 0, 0.70102, 0.58071, 0.60196, 0.2519, 0.048167, 0.021189, 0, 0.070096, 0.0033226, 0.0033226
|
0, 0.068575, 0.039993, 0, 0.70102, 0.58071, 0.60196, 0.2519, 0.048167, 0.021189, 0, 0.070096, 0.0033226, 0.0033226
|
||||||
1, 0.048822, 0.031577, 0, 0.83348, 0.67616, 0.75758, 0.3812, 0.038854, 0.019978, 0, 0.040014, 0.0065736, 0.0065736
|
1, 0.048822, 0.031577, 0, 0.83348, 0.67616, 0.75758, 0.3812, 0.038854, 0.019978, 0, 0.040014, 0.0065736, 0.0065736
|
||||||
2, 0.041754, 0.02902, 0, 0.77593, 0.62288, 0.69313, 0.32412, 0.041876, 0.02355, 0, 0.0098492, 0.009742, 0.009742
|
2, 0.041754, 0.02902, 0, 0.77593, 0.62288, 0.69313, 0.32412, 0.041876, 0.02355, 0, 0.0098492, 0.009742, 0.009742
|
||||||
3, 0.037026, 0.02777, 0, 0.83418, 0.71955, 0.80302, 0.42477, 0.035953, 0.01995, 0, 0.0096288, 0.0096288, 0.0096288
|
3, 0.037026, 0.02777, 0, 0.83418, 0.71955, 0.80302, 0.42477, 0.035953, 0.01995, 0, 0.0096288, 0.0096288, 0.0096288
|
||||||
4, 0.034654, 0.02614, 0, 0.85591, 0.7205, 0.81403, 0.45105, 0.034349, 0.019149, 0, 0.0096288, 0.0096288, 0.0096288
|
4, 0.034654, 0.02614, 0, 0.85591, 0.7205, 0.81403, 0.45105, 0.034349, 0.019149, 0, 0.0096288, 0.0096288, 0.0096288
|
||||||
5, 0.033087, 0.02533, 0, 0.84811, 0.7377, 0.81351, 0.45187, 0.03501, 0.019692, 0, 0.009505, 0.009505, 0.009505
|
5, 0.033087, 0.02533, 0, 0.84811, 0.7377, 0.81351, 0.45187, 0.03501, 0.019692, 0, 0.009505, 0.009505, 0.009505
|
||||||
6, 0.031878, 0.024502, 0, 0.84654, 0.76661, 0.83513, 0.46097, 0.035043, 0.018774, 0, 0.0093813, 0.0093813, 0.0093813
|
6, 0.031878, 0.024502, 0, 0.84654, 0.76661, 0.83513, 0.46097, 0.035043, 0.018774, 0, 0.0093813, 0.0093813, 0.0093813
|
||||||
7, 0.03092, 0.023962, 0, 0.85534, 0.75749, 0.83288, 0.46915, 0.034133, 0.019144, 0, 0.0092575, 0.0092575, 0.0092575
|
7, 0.03092, 0.023962, 0, 0.85534, 0.75749, 0.83288, 0.46915, 0.034133, 0.019144, 0, 0.0092575, 0.0092575, 0.0092575
|
||||||
8, 0.03049, 0.02335, 0, 0.85638, 0.77501, 0.84568, 0.48421, 0.033064, 0.01893, 0, 0.0091337, 0.0091337, 0.0091337
|
8, 0.03049, 0.02335, 0, 0.85638, 0.77501, 0.84568, 0.48421, 0.033064, 0.01893, 0, 0.0091337, 0.0091337, 0.0091337
|
||||||
9, 0.029464, 0.022836, 0, 0.87385, 0.75689, 0.83902, 0.47473, 0.033736, 0.019446, 0, 0.00901, 0.00901, 0.00901
|
9, 0.029464, 0.022836, 0, 0.87385, 0.75689, 0.83902, 0.47473, 0.033736, 0.019446, 0, 0.00901, 0.00901, 0.00901
|
||||||
10, 0.028927, 0.022414, 0, 0.87058, 0.76291, 0.83836, 0.46732, 0.03437, 0.019651, 0, 0.0088863, 0.0088863, 0.0088863
|
10, 0.028927, 0.022414, 0, 0.87058, 0.76291, 0.83836, 0.46732, 0.03437, 0.019651, 0, 0.0088863, 0.0088863, 0.0088863
|
||||||
11, 0.028566, 0.022261, 0, 0.86504, 0.77011, 0.84318, 0.47604, 0.033465, 0.019213, 0, 0.0087625, 0.0087625, 0.0087625
|
11, 0.028566, 0.022261, 0, 0.86504, 0.77011, 0.84318, 0.47604, 0.033465, 0.019213, 0, 0.0087625, 0.0087625, 0.0087625
|
||||||
12, 0.027956, 0.021923, 0, 0.85476, 0.77168, 0.84491, 0.48466, 0.032688, 0.01882, 0, 0.0086388, 0.0086388, 0.0086388
|
12, 0.027956, 0.021923, 0, 0.85476, 0.77168, 0.84491, 0.48466, 0.032688, 0.01882, 0, 0.0086388, 0.0086388, 0.0086388
|
||||||
13, 0.02772, 0.02173, 0, 0.86119, 0.79026, 0.85609, 0.4882, 0.033376, 0.019337, 0, 0.008515, 0.008515, 0.008515
|
13, 0.02772, 0.02173, 0, 0.86119, 0.79026, 0.85609, 0.4882, 0.033376, 0.019337, 0, 0.008515, 0.008515, 0.008515
|
||||||
14, 0.027131, 0.021128, 0, 0.87567, 0.78199, 0.85549, 0.49365, 0.03306, 0.01928, 0, 0.0083913, 0.0083913, 0.0083913
|
14, 0.027131, 0.021128, 0, 0.87567, 0.78199, 0.85549, 0.49365, 0.03306, 0.01928, 0, 0.0083913, 0.0083913, 0.0083913
|
||||||
15, 0.026691, 0.021199, 0, 0.87045, 0.78705, 0.85453, 0.48935, 0.032743, 0.019439, 0, 0.0082675, 0.0082675, 0.0082675
|
15, 0.026691, 0.021199, 0, 0.87045, 0.78705, 0.85453, 0.48935, 0.032743, 0.019439, 0, 0.0082675, 0.0082675, 0.0082675
|
||||||
16, 0.026246, 0.020844, 0, 0.86617, 0.79394, 0.85683, 0.50459, 0.032289, 0.019477, 0, 0.0081437, 0.0081437, 0.0081437
|
16, 0.026246, 0.020844, 0, 0.86617, 0.79394, 0.85683, 0.50459, 0.032289, 0.019477, 0, 0.0081437, 0.0081437, 0.0081437
|
||||||
17, 0.026001, 0.020515, 0, 0.87474, 0.79456, 0.8614, 0.50697, 0.032548, 0.019612, 0, 0.00802, 0.00802, 0.00802
|
17, 0.026001, 0.020515, 0, 0.87474, 0.79456, 0.8614, 0.50697, 0.032548, 0.019612, 0, 0.00802, 0.00802, 0.00802
|
||||||
18, 0.025843, 0.020263, 0, 0.87164, 0.78985, 0.85977, 0.49572, 0.03286, 0.019747, 0, 0.0078963, 0.0078963, 0.0078963
|
18, 0.025843, 0.020263, 0, 0.87164, 0.78985, 0.85977, 0.49572, 0.03286, 0.019747, 0, 0.0078963, 0.0078963, 0.0078963
|
||||||
19, 0.025307, 0.019814, 0, 0.88386, 0.78371, 0.8613, 0.50808, 0.032641, 0.020164, 0, 0.0077725, 0.0077725, 0.0077725
|
19, 0.025307, 0.019814, 0, 0.88386, 0.78371, 0.8613, 0.50808, 0.032641, 0.020164, 0, 0.0077725, 0.0077725, 0.0077725
|
||||||
20, 0.02506, 0.019861, 0, 0.87474, 0.79407, 0.86474, 0.51026, 0.032239, 0.019819, 0, 0.0076488, 0.0076488, 0.0076488
|
20, 0.02506, 0.019861, 0, 0.87474, 0.79407, 0.86474, 0.51026, 0.032239, 0.019819, 0, 0.0076488, 0.0076488, 0.0076488
|
||||||
21, 0.024831, 0.019605, 0, 0.88838, 0.79337, 0.86771, 0.52199, 0.032118, 0.020042, 0, 0.007525, 0.007525, 0.007525
|
21, 0.024831, 0.019605, 0, 0.88838, 0.79337, 0.86771, 0.52199, 0.032118, 0.020042, 0, 0.007525, 0.007525, 0.007525
|
||||||
22, 0.02415, 0.019298, 0, 0.87602, 0.79356, 0.8673, 0.51608, 0.031688, 0.020088, 0, 0.0074013, 0.0074013, 0.0074013
|
22, 0.02415, 0.019298, 0, 0.87602, 0.79356, 0.8673, 0.51608, 0.031688, 0.020088, 0, 0.0074013, 0.0074013, 0.0074013
|
||||||
23, 0.024106, 0.019282, 0, 0.8797, 0.7958, 0.864, 0.51646, 0.032165, 0.02007, 0, 0.0072775, 0.0072775, 0.0072775
|
23, 0.024106, 0.019282, 0, 0.8797, 0.7958, 0.864, 0.51646, 0.032165, 0.02007, 0, 0.0072775, 0.0072775, 0.0072775
|
||||||
24, 0.023864, 0.019081, 0, 0.88117, 0.79456, 0.86429, 0.51661, 0.031982, 0.02004, 0, 0.0071538, 0.0071538, 0.0071538
|
24, 0.023864, 0.019081, 0, 0.88117, 0.79456, 0.86429, 0.51661, 0.031982, 0.02004, 0, 0.0071538, 0.0071538, 0.0071538
|
||||||
25, 0.023603, 0.018897, 0, 0.88311, 0.80146, 0.8721, 0.52056, 0.031827, 0.019855, 0, 0.00703, 0.00703, 0.00703
|
25, 0.023603, 0.018897, 0, 0.88311, 0.80146, 0.8721, 0.52056, 0.031827, 0.019855, 0, 0.00703, 0.00703, 0.00703
|
||||||
26, 0.023432, 0.018633, 0, 0.88739, 0.80151, 0.87221, 0.52409, 0.031854, 0.02001, 0, 0.0069063, 0.0069063, 0.0069063
|
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