Train OCRNet to read text in cropped images.
Trains and prepares OCRNet models to recognize text in cropped images.
When to use it
Use when training, evaluating, exporting, pruning, quantizing, retraining, or running inference with a TAO OCRNet model.
Give it OCR datasets and any checkpoints needed for the requested operation; it runs OCRNet and saves results to a folder.
What you provide
Requires Docker together with nvidia-container-toolkit.
Requires nvidia-container-toolkit together with Docker.
Requires at least one GPU with 8GB or more VRAM.
For a standalone installation not initialized by the TAO skill bank plugin, run tao-setup first for host preflight, credentials, and cross-skill discovery.
No additional actions listed.