Comments (1)
zhangxuying1004
commented on May 25, 2024
您好，很荣幸能够拜读到您的论文并且欣赏您的代码，想请问一下，由于特征文件300多个g过于庞大，我们如果只想进行captioning验证推理的话一定需要该特征文件吗？然后就是，是否可以通过coco2014数据集直接生成特征文件，避免下载过程。
非常感谢
您好，感谢您的关注。
- 如果是使用这个特征训练的模型，也需要相同设置的特征进行推理验证。
- 可以从图片中提取特征生成特征文件，提取方式可以参考我学弟的这个GitHub链接：https://github.com/rentainhe/TRAR-Feature-Extraction。
from rstnet.
Related Issues (20)
- vocab.pkl HOT 1
- visualness HOT 1
- Question about the position encoding HOT 2
- online特征提取 HOT 6
- Cannot download the image_info_test2014.json HOT 2
- No such file or directory: 'vocab_language/vocab_bert_language.pkl' HOT 1
- 关于 online test 代码 HOT 2
- TypeError: 'generator' object is not callable HOT 2
- question about warning HOT 3
- online test 提交 HOT 4
- Some question about custom dataset HOT 1
- 请问用您的environment.yml创建conda环境时总是报各种依赖冲突，请问这种情况该如何解决呢？感谢 HOT 1
- 训练transformer时assert language_model_path is not None HOT 2
- 关于X152_grid_feature文件 HOT 5
- 关于supplementary material HOT 2
- 关于ResNext152数据集和spice指标 HOT 3
- Run for Custom dataset HOT 1
- 计算机配置 HOT 1
- Some question about the Adaptive-Attention (AA) module HOT 3
- questions about bert_model input
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