Comments (2)
The loading of data from a (sequential) HDD is indeed limited to a single thread. One could consider to use multithreading when reading from a SSD.
However, the data preprocessing can and should be parallelized (--num_threads for training and -j for prediction)
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@erjinzhi2333 I'd recommend that you skip the SSD and buy an M.2 NVME instead, you will get 3000MB/s Read & 2500MB/s Write. They are almost same price,
Note that you will need PCIe 3.0 x4 in your Mobo.
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Related Issues (20)
- Cannot convert a symbolic Tensor - Cannot even initialize the Predictor object HOT 2
- Characters coordinates HOT 1
- training: Cannot convert a symbolic Tensor to a numpy array HOT 7
- HDF5 dataset format: how to convert HOT 4
- calamari-train: warmstart not working without also giving network spec
- featreq: when warmstart-training, init weights of new chars from existing ones HOT 2
- calamari-eval: skip missing pairs HOT 3
- calamari-eval: unknown arguments HOT 6
- calamari-eval: confusion table miscalculates relative frequency HOT 3
- Error when convert old trained model to latest version model HOT 1
- Got exception during training HOT 4
- calamari-ocr 2.2.2 on ubuntu 22.04 partial success, difficulty with GPU software
- Prediction from calamari trained .pb model HOT 5
- Issue while using the model and json HOT 8
- setup.py on Ubuntu20.04: tensorflow is wrong version HOT 7
- Model very sensitive on PNG input HOT 3
- calamari/1.0: hold Tensorflow and Protobuf dependencies HOT 6
- What is the accuracy on Chinese/Japanese text? HOT 2
- Attention layer
- "No training configuration" for code that should not have one HOT 5
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