基于yolov5深度学习的识别交通标志新版算法源码+说明资源-CSDN下载

共2006个文件

txt：1966个

py：15个

yaml：13个

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深度学习

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基于yolov5深度学习的识别交通标志新版算法源码+说明（2006个子文件）

.DS_Store 6KB

README.md 329B

datasets.py 44KB

general.py 25KB

plots.py 18KB

wandb_utils.py 16KB

torch_utils.py 12KB

loss.py 9KB

metrics.py 9KB

autoanchor.py 7KB

google_utils.py 5KB

activations.py 2KB

resume.py 1KB

log_dataset.py 819B

__init__.py 0B

get_voc.sh 4KB

get_argoverse_hd.sh 2KB

userdata.sh 1KB

get_coco.sh 963B

mime.sh 780B

results.txt 29KB

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classes.txt 525B

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共 2006 条

### 深度学习之识别交通标志 ### 运行 ```bash git clone https://github.com/loks666/yolov5-5.0.git cd yolov5-5.0 conda create -n yolov5_env python=3.10 conda activate yolov5_env pip install -r requirements.txt python detect.py ``` ### 路径 - my_datas/images 训练数据 - runs/detect 训练结果 ```

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