Comments (3)
playerkk
commented on July 26, 2024
It is assumed the format of training images is either png or jpg. So I simply check the suffix of an image name to be one of "png", "jpg", or "jpeg".
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delian11
commented on July 26, 2024
hello,I've met the same problem.Did you solve the problem and how?Thanx
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Hans1984
commented on July 26, 2024
you need to check text coding method, and print the suffix may help.
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Related Issues (20)
- Failing to download Pre-trained Imagenet HOT 1
- cannot download train annotation file for wider face dataset HOT 2
- 自己训练的模型测试时候出错 HOT 1
- Overflow encountered in exp from bbox_transform.py HOT 3
- download the file HOT 1
- AttributeError: 'ProposalLayer' object has no attribute 'param_str' HOT 2
- Replace VGG16 with a series of ResNet HOT 2
- Could not understand the result HOT 1
- 你好，这个性能怎么样？ HOT 1
- protobuf version problem
- What kind of fast rcnn version this repo use?
- Nan loss and Some important things for training HOT 2
- 数据集格式问题
- about WIDER/FDDB HOT 2
- Can't clone your repository HOT 1
- The loss in my training is not converge
- What's the mAP score you achieved on wide face dataset?
- 提供DCVnet代码用于测试
- Issues with testing
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