2022电子物联网毕设一套 基于机器视觉的口罩检测系统的设计与实现(论文+程序源代码+数据)定稿.zip
收起资源包目录
- 1814110721_宁召乐_代码
- 1814110721_瀹佸彫涔恄浠g爜
- PC-yolov5-42-master
- .idea
Arial.ttf(755.11 KB)
- data
data_gen.py(7.91 KB)
detect.py(12.23 KB)
- docs
Dockerfile(2.06 KB)
README.md(14.4 KB)
tutorial.ipynb(54.54 KB)
export.py(16.46 KB)
hubconf.py(6.06 KB)
- images
right.jpeg(26.57 KB)
- tmp
single_result.jpg(90.42 KB)
single_result_vid.jpg(68.84 KB)
tmp_upload.jpeg(21.27 KB)
tmp_upload.jpg(58.6 KB)
tmp_upload.png(1.63 MB)
upload_show_result.jpg(88.06 KB)
- UI
sun.jpeg(32.33 KB)
up.jpeg(27.88 KB)
up.jpeg(21.27 KB)
LICENSE(34.3 KB)
- models
common.py(26.71 KB)
experimental.py(4.48 KB)
- hub
anchors.yaml(3.26 KB)
yolov3-spp.yaml(1.53 KB)
yolov3-tiny.yaml(1.2 KB)
yolov3.yaml(1.52 KB)
yolov5-bifpn.yaml(1.39 KB)
yolov5-fpn.yaml(1.19 KB)
yolov5-p2.yaml(1.62 KB)
yolov5-p6.yaml(1.66 KB)
yolov5-p7.yaml(2.03 KB)
yolov5-panet.yaml(1.37 KB)
yolov5l6.yaml(1.78 KB)
yolov5m6.yaml(1.78 KB)
yolov5n6.yaml(1.78 KB)
yolov5s-ghost.yaml(1.45 KB)
yolov5s-transformer.yaml(1.41 KB)
yolov5s6.yaml(1.78 KB)
yolov5x6.yaml(1.78 KB)
mask_yolov5l.yaml(1.37 KB)
mask_yolov5m.yaml(1.37 KB)
mask_yolov5s.yaml(1.37 KB)
tf.py(20.18 KB)
yolo.py(14.89 KB)
yolov5l.yaml(1.37 KB)
yolov5m.yaml(1.37 KB)
yolov5n.yaml(1.37 KB)
yolov5s.yaml(1.37 KB)
yolov5x.yaml(1.37 KB)
__init__.py(0 B)
- __pycache__
common.cpython-38.pyc(25.93 KB)
experimental.cpython-38.pyc(4.76 KB)
yolo.cpython-38.pyc(12.62 KB)
__init__.cpython-38.pyc(141 B)
- pretrained
README.md(15.45 KB)
requirements.txt(896 B)
- runs
- train
- exp13
confusion_matrix.png(103.02 KB)
events.out.tfevents.1650854623.LAPTOP-THIE06QI.10912.0(1.07 MB)
F1_curve.png(135.22 KB)
hyp.yaml(400 B)
opt.yaml(727 B)
PR_curve.png(85.95 KB)
P_curve.png(126.3 KB)
results.csv(29.1 KB)
results.png(321.26 KB)
R_curve.png(129.18 KB)
train_batch0.jpg(37.22 KB)
train_batch1.jpg(149.53 KB)
train_batch2.jpg(48.16 KB)
val_batch0_labels.jpg(232.59 KB)
val_batch0_pred.jpg(226.91 KB)
val_batch1_labels.jpg(237.86 KB)
val_batch1_pred.jpg(242.21 KB)
val_batch2_labels.jpg(233.05 KB)
val_batch2_pred.jpg(238.28 KB)
- weights
best.pt(13.8 MB)
last.pt(13.8 MB)
setup.cfg(923 B)
train.py(32.48 KB)
- utils
val.py(17.4 KB)
window1.py(31.3 KB)
wpy.wav(48.36 KB)
- __pycache__
server.py(3.03 KB)
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