Comments (2)
It does not require images of size 224x224. The images will be resized according to the given 'target_image_size' parameter. I believe the original paper used images of size 224x224.
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Thanks.
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Related Issues (13)
- Inference output determined by batch size HOT 9
- what's the proper folder structure of tfrecords?
- It doesn't work on tensorflow 1.9
- Expected image (JPEG, PNG, or GIF),get /000/000/000 HOT 3
- Hyperparams arguments missing HOT 2
- How to use this architecture with custom dataset HOT 5
- Imagenet pre-trained model HOT 1
- No Relu Layer in squeezenet.py ? HOT 2
- what should be the directory structure of the images? HOT 4
- ImportError: No module named slim.deployment HOT 13
- Can you include a requirements.txt file? HOT 3
- How can I retrain it with new classes and labels?
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