| # Pretrained Weights | |
| ## Model Zoo | |
| | Source Dataset | Model | Epoch | File | Size | | |
| |---------------|-------|-------|------|------| | |
| | CTW-1500 | textgraph_vgg | 2964 | `textgraph_vgg_2964.pth` | ~147 MB | | |
| ## Details | |
| - **CTW-1500** is a large-scale dataset for curved/scene text detection with 1,000 training images and 500 test images. | |
| - This checkpoint was trained for **2,964 epochs** on CTW-1500, then used as initialization for LATeD fine-tuning. | |
| - The pretrained model captures general text detection features: TR/TCL segmentation maps, sin/cos geometry prediction, and bounding box regression. | |
| - Transferring CTW-1500 → LATeD accelerates convergence on the low-light domain. | |
| ## Usage | |
| In `configs/train_LATeD.yaml`: | |
| ```yaml | |
| model: | |
| pretrained_weight: ./checkpoints/pretrained/textgraph_vgg_2964.pth | |
| ``` | |
| ## Download | |
| Place the checkpoint file in this directory. The file should be named: | |
| ``` | |
| checkpoints/pretrained/textgraph_vgg_2964.pth | |
| ``` | |