Comments (1)
as the error says, you are running out of memory, which comes from the fact that your images in your custom training dataset is bigger than the images provided in the repository and your cpu is not powerful enough to handle this amount of data.
The solution that I see here is to use GPU instead of CPU for training, which requires a little bit of coding effort and setting up your machine(install CUDA) to handle the training
Another solution could be to decrease your image size, since then you have to handle less amount of data, which might tradeoff performance/accuracy, since the images might lose information.
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Related Issues (14)
- run the model but get the error, help please! HOT 2
- Decoders shape is changing HOT 1
- Error: 'config': model.optimizer.get_config() HOT 1
- List Index out of range
- [Help!!]error of spawning new processes while running image_retrieval.py HOT 2
- Please add this to readme as resource
- Can this method be searched in svg in a svg dataset?
- custom image size for train image_retrieval
- Close figure after saving to improve memory and speed of similar_images HOT 1
- Query the kNN with new pictures
- Seems to require keras 2.2.0 HOT 5
- Question I am not able to find module autoencoders.AE and utilities?
- I met this error when run HOT 3
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