a5979c4069
Three issues fixed: 1. --resize both was removed in ketos 7; replaced with --resize union which extends the model's class mapping to include training data classes. 2. ketos ignores -s when -i is present, so the 1800px blla model caused 7+ GB peak RAM and OOM-killed the host (no swap, 5 GB free). Now checks the loaded model's input height: only uses the base model when it was already fine-tuned at 800px; otherwise trains from scratch at 800px (~200 MB peak). After the first run the trained 800px model becomes the base for all subsequent fine-tuning runs. 3. segtrain now computes and returns cer = 1 - accuracy, matching the recognition training path. Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>