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Update images ReadMe to include instructions for symbolic linking on …
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# Images Setup | ||
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Place a folder with images inside of it for each class you want. The training scripts will automatically separate train/test/validation from each | ||
Place a folder of images here for each class you want. The training scripts will automatically separate train/test/validation from each | ||
folder and will generate a new label for each folder. The labels will be written to the output model directory. Consult the .cmd and .sh training | ||
scripts in the training folder for full usage in the event that you are invoking the python scripts directly. | ||
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You should pre-resize your images to the target network input size. Otherwise, your training times will be increased by several hours due to the | ||
preprocessing expense. Anecdotally, there is little to no benefit to runtime transforms during this kind of transfer learning and fine-tuning learning. | ||
preprocessing expense and gaining nothing from it. | ||
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*nix users can just make symbolic links for each class here to avoid copying. | ||
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Windows users can, with an admin command prompt, create symbolic links as well with the MKLINK command. Like so: | ||
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`mklink /J link_name C:\real\folder\path` |
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