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May 5, 2023
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update readme #255

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5 changes: 5 additions & 0 deletions README.md
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Expand Up @@ -160,6 +160,11 @@ After downloading these datasets in the `DATASETS_DIR` folder, you can run `bash
## Notes

### Change Log
- 2023/05/04
1. Support loading self-defined pretrained checkpoints via setting `model-pretrained` with checkpoint url or local path in yaml.
2. Support setting probability for executing augmentation including rotation and flip.
3. Add Exponential Moving Average(EMA) for model training, which can be enabled by setting `train-ema` (default: False) and `train-ema_decay` in the yaml config.

- 2023/04/21
1. Add parameter grouping to support flexible regularization in training. Usage: add `grouping_strategy` argment in yaml config to select a predefined grouping strategy, or use `no_weight_decay_params` argument to pick layers to exclude from weight decay (e.g., bias, norm). Example can be referred in `configs/rec/crnn/crnn_icdar15.yaml`
2. Add gradient accumulation to support large batch size training. Usage: add `gradient_accumulation_steps` in yaml config, the global batch size = batch_size * devices * gradient_accumulation_steps. Example can be referred in `configs/rec/crnn/crnn_icdar15.yaml`
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3 changes: 2 additions & 1 deletion configs/rec/crnn/crnn_icdar15.yaml
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Expand Up @@ -19,14 +19,15 @@ model:
type: rec
transform: null
backbone:
name: rec_vgg7 #resnet34@mindcv
name: rec_vgg7
pretrained: False
neck:
name: RNNEncoder
hidden_size: 256
head:
name: CTCHead
out_channels: *num_classes
pretrained: https://download.mindspore.cn/toolkits/mindocr/crnn/crnn_vgg7-ea7e996c.ckpt # support local path and url

postprocess:
name: RecCTCLabelDecode
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