fly6516
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  • Joined on 2024-10-11
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fly6516 created repository fly6516/Yolo-12-everything 2025-06-02 06:41:20 +00:00
fly6516 pushed to master at fly6516s_Educatio.../AI-exp-4 2025-05-31 14:44:21 +00:00
32b5c54ce7 test_nerf.py:
fly6516 created branch master in fly6516s_Educatio.../AI-exp-4 2025-05-31 09:53:10 +00:00
fly6516 pushed to master at fly6516s_Educatio.../AI-exp-4 2025-05-31 09:53:10 +00:00
c1152817c7 feat: 实现 NeRF 和 CNN 两种算法
fly6516 created repository fly6516s_Educatio.../AI-exp-4 2025-05-31 09:44:46 +00:00
fly6516 pushed to master at fly6516s_Educatio.../ComView 2025-05-29 18:18:00 +00:00
959a2b37c7 docs(runs): 添加最终模型训练结果分析报告
fly6516 pushed to master at fly6516s_Educatio.../ComView 2025-05-29 18:16:21 +00:00
72a61d34cd build: 更新 ONNX 构建指南并添加训练配置文件
fly6516 pushed to multi-step at fly6516s_Educatio.../RL-PowerTracking-new 2025-05-29 15:40:55 +00:00
8381839069 feat: upload best_model.zip
fly6516 pushed to master at fly6516s_Educatio.../ComView 2025-05-29 15:09:05 +00:00
28dad9e675 docs: 添加 ONNX 构建说明
fly6516 pushed to master at fly6516s_Educatio.../ComView 2025-05-29 13:07:04 +00:00
86ccd7c29e refactor(train): 注释模型导出相关代码
fly6516 pushed to master at fly6516s_Educatio.../isolators-transfer 2025-05-29 12:33:22 +00:00
c208f07e28 train:调整训练参数以优化绝缘子检测性能
fly6516 pushed to master at fly6516s_Educatio.../ComView 2025-05-29 12:23:27 +00:00
21d190a658 train: 更新类别权重设置
fly6516 pushed to master at fly6516s_Educatio.../ComView 2025-05-29 12:16:18 +00:00
66d0877cfd refactor(data): 更新数据集路径并调整数据验证逻辑
fly6516 pushed to master at fly6516s_Educatio.../ComView 2025-05-29 12:01:02 +00:00
b4468c7808 feat(datasets): 添加新的训练数据标签
fly6516 created branch master in fly6516s_Educatio.../ComView 2025-05-29 12:00:13 +00:00
fly6516 pushed to master at fly6516s_Educatio.../ComView 2025-05-29 12:00:13 +00:00
20b660c943 feat(datasets): 添加新的训练数据标签
fly6516 created repository fly6516s_Educatio.../ComView 2025-05-29 11:59:51 +00:00
fly6516 pushed to multi-step at fly6516s_Educatio.../RL-PowerTracking-new 2025-05-29 07:42:01 +00:00
1fc489e188 feat(DOA_SAC_sim2real): 实现高级奖励机制并优化模型训练
fly6516 pushed to multi-step at fly6516s_Educatio.../RL-PowerTracking-new 2025-05-28 13:43:24 +00:00
686164f670 feat(DOA_SAC_sim2real): 增加周期性模型检查点回调并优化路径配置- 动态路径配置：为硬件模块（如jkrc）实现动态路径配置，确保在不同环境中均可正确加载。
fly6516 pushed to multi-step at fly6516s_Educatio.../RL-PowerTracking-new 2025-05-28 12:07:53 +00:00
3a111b67e2 refactor(DOA_SAC_sim2real): 优化代码设置并准备模型加载路径