Comments (2)
ILSVRC上,验证集是有类别的,测试集上的数据才没有类别。
至于如何组织数据,可以参见PyTorch训练ImageNet的官方脚本:
https://raw.githubusercontent.com/soumith/imagenetloader.torch/master/valprep.sh
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您的链接很好地解决了我的问题
感谢您如此快的回复!祝您科研之路一帆风顺
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Related Issues (20)
- When will training codes be available? HOT 3
- How to get the file 'cache_groundtruth.mat' HOT 3
- 你好,实在是打扰,我想知道我怎么获取验证集的xml文件。万分感谢!
- Some questions about load_val_bbox() HOT 3
- Why do I use this PSOL_inference.py directly to get the accuracy rate is always 0 ?Do you have this problem? HOT 2
- Is there any pretrained classification model for CUB? HOT 1
- VGG16-DDT GT Known Loc Accuracy on CUB200 HOT 5
- cache_groundtruth.mat file not found in PSOL Github repository!!!! HOT 2
- python PSOL_inference.py --loc-model {$LOC_MODEL} --cls-model {$CLS_MODEL} {--ten-crop} giving error!!!! HOT 3
- Please provide XML files mentioned in Github Page - myval/ (groundtruth annotation xml file)!!!
- Please share ImageNet dataset along with XML annotation files
- Getting Class Loss Acc always as Zero!!! HOT 1
- A question about the evaluation criterion on ILSVRC HOT 2
- 请问pytorch和python是那个版本 HOT 4
- 我的数据集只有一类,可以使用您提出的方法吗?谢谢 HOT 1
- Evaluation results of DDT pseudo bbox HOT 1
- 关于贵论文ten_crop的疑问 HOT 2
- 验证集groundtruth mat文件 HOT 1
- CUB_test_acc HOT 1
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