Comments (7)
@linghaolu could you explain what flags did you change and how did you build this new dictionary ? Thx !
the 'class_num' in flags.py. change it from 1000 to 11166.
1000 is for the class num of imagenet. 11166 is for ml_images.
and you also need to generate a data/mlimages_dictionary.txt file like data/imagenet2012_dictionary.txt which is needed in example/image_classification.sh
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下载的 ckpt-resnet101-mlimages-imagenet 运行没有问题
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知道了。flag 中一些参数是根据 imagenet 设置的
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通过修改配置,另外缺少一个 dictionary,需要自己导出一下 就可以了。
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@linghaolu could you explain what flags did you change and how did you build this new dictionary ? Thx !
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It works ! 谢谢 👍
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请问你imagenet的整个数据库是怎么获取的 谢谢 @linghaolu
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Related Issues (20)
- Who could tell me the size of the whole dataset? HOT 4
- Could you please explain why is used 'imgs = imgs[...,::-1]' in extract_feature.py HOT 1
- 训练的时候train_accuracy一直下降 HOT 2
- 请问哪个脚本是用于训练多标签分类的?
- 不管是train还是finetune,咋都不把跑验证集的加上去。 HOT 2
- a question about the num_class
- How to download openimage by other ways?
- non_neg_mask not work
- Where to get imagenet urls?
- Cropping's affect on annatations? HOT 1
- Annotations? HOT 1
- Number of categories in openimages? HOT 1
- 特征提取对应关系
- over-fitting
- wrong label hierarchy
- 请问能够提供ImageNet Whole Dataset的国内数据镜像地址吗? HOT 3
- What is the size of the whole dataset?
- 关于ImageNet数据集获取
- 训练的过程中报错image_size must contain 3 elements[4]
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