Comments (6)
Fafa-DL
commented on August 12, 2024
在原始数据集那一步把这三个子文件夹放一块就行
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Answergeng
commented on August 12, 2024
在原始数据集那一步把这三个子文件夹放一块就行
试了会报错 IsADirectoryError: [Errno 21] Is a directory:
如果你指的是所有文件放一起的话 那这分类的操作就白做了
还有一个就是有时候数据集太大再做拷贝不太现实 建议只获取路径写入txt会不会更合适点？
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Fafa-DL
commented on August 12, 2024
指的就是把三个子文件夹下图片放在car文件夹下。你提出的问题不就是要将这三个类别改为一个类别吗？
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Answergeng
commented on August 12, 2024
指的就是把三个子文件夹下图片放在car文件夹下。你提出的问题不就是要将这三个类别改为一个类别吗？
嗯嗯 但是会报错 看了split_data应该是没有做递归遍历的
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jackyjinjing
commented on August 12, 2024
需要文件放到一个目录下，不要把目录和文件整个copy过来，你如果嫌移动文件麻烦，也可以改spit_data脚本，支持文件夹里面有文件夹
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Answergeng
commented on August 12, 2024
需要文件放到一个目录下，不要把目录和文件整个copy过来，你如果嫌移动文件麻烦，也可以改spit_data脚本，支持文件夹里面有文件夹
移文件肯定麻烦 当时应该是改了split_data
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Related Issues (20)
- 权重大小不匹配 HOT 2
- evaluation 进行模型评估时，数据集从何而来 HOT 1
- 该程序想要在pycharm中运行该怎么使用 HOT 1
- 如果用mvit，t2t_vit，visiontransformer三个算法分别得到三个模型，如何用adaboost将他们集成呢，这是可行的吗
- 调用evaluation脚本时每次准确率结果会有细微的差别 HOT 9
- mobileNet演示就报错TT，请问这个问题怎么解决啊？
- mobileNet演示项目问题？ HOT 1
- 主要组成部分 HOT 1
- t2t_vit_19模型主要包含哪些部分 HOT 1
- 如何提升训练效果？ HOT 1
- 有想过加一个后台来简化训模型的难度吗 HOT 1
- ONNX
- 测试集精度过高
- 有没有考虑过把自监督的模型也加进来？比如经典的对比学习等。
- 批量测试报错 HOT 1
- batch_test有没有结果保存呀，没找到，只有一个video在播放，有没有类似训练时直接输出的precision之类的呀 HOT 2
- how to change to the 2 classes classification? HOT 3
- cv2.error: OpenCV(4.8.0) /io/opencv/modules/imgcodecs/src/loadsave.cpp:802: error: (-215:Assertion failed) !buf.empty() in function 'imdecode_'
- 后续会加入一些新的模型吗比如squeezenet、xception
- 加入新的主干运行后出现Initialize the weights. Traceback (most recent call last): File "tools/train.py", line 171, in <module> main() File "tools/train.py", line 136, in main max_iters = data_cfg.get('train').get('epoches')*len(train_loader), TypeError: unsupported operand type(s) for *: 'NoneType' and 'int'的问题怎么解决 HOT 1
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