yolov7训练测试
时间: 2023-09-03 12:07:59 浏览: 52
要进行YOLOv7模型的训练和测试,你可以按照以下步骤进行操作:
1. 首先,将VOC数据集转换为YOLO数据集。使用split_train_val.py文件在dataSet文件夹下创建训练集、验证集和测试集。使用voc_label.py文件为训练集、验证集和测试集生成标签,同时将数据集路径导入txt文件中。<span class="em">1</span><span class="em">2</span><span class="em">3</span>
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- *1* [yolov7目标检测:基于自定义数据集完成检测、训练、测试](https://blog.csdn.net/shinuone/article/details/129171746)[target="_blank" data-report-click={"spm":"1018.2226.3001.9630","extra":{"utm_source":"vip_chatgpt_common_search_pc_result","utm_medium":"distribute.pc_search_result.none-task-cask-2~all~insert_cask~default-1-null.142^v92^chatsearchT0_1"}}] [.reference_item style="max-width: 33.333333333333336%"]
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- *3* [YOLOv7算法训练自己的数据集并测试](https://blog.csdn.net/DeepLearning_/article/details/127698468)[target="_blank" data-report-click={"spm":"1018.2226.3001.9630","extra":{"utm_source":"vip_chatgpt_common_search_pc_result","utm_medium":"distribute.pc_search_result.none-task-cask-2~all~insert_cask~default-1-null.142^v92^chatsearchT0_1"}}] [.reference_item style="max-width: 33.333333333333336%"]
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