save weights at epoch_0

This commit is contained in:
tink2123 2020-05-19 11:15:51 +08:00
parent e1239409b8
commit 3ffb3879c6
2 changed files with 9 additions and 5 deletions

View File

@ -16,7 +16,7 @@ wget -P ./train_data/ https://paddleocr.bj.bcebos.com/dataset/test_icdar2015_la
解压数据集和下载标注文件后PaddleOCR/train_data/ 有两个文件夹和两个文件,分别是:
```
/PaddleOCR/train_data/
/PaddleOCR/train_data/icdar2015/text_localization/
└─ icdar_c4_train_imgs/ icdar数据集的训练数据
└─ ch4_test_images/ icdar数据集的测试数据
└─ train_icdar2015_label.txt icdar数据集的训练标注
@ -79,10 +79,10 @@ python3 tools/eval.py -c configs/det/det_mv3_db.yml -o Global.checkpoints="./ou
测试单张图像的检测效果
```
python3 tools/infer_det.py -c config/det/det_mv3_db.yml -o TestReader.single_img_path="./doc/imgs_en/img_10.jpg" Global.checkpoints="./output/det_db/best_accuracy"
python3 tools/infer_det.py -c configs/det/det_mv3_db.yml -o TestReader.single_img_path="./doc/imgs_en/img_10.jpg" Global.checkpoints="./output/det_db/best_accuracy"
```
测试文件夹下所有图像的检测效果
```
python3 tools/infer_det.py -c config/det/det_mv3_db.yml -o TestReader.single_img_path="./doc/imgs_en/" Global.checkpoints="./output/det_db/best_accuracy"
python3 tools/infer_det.py -c configs/det/det_mv3_db.yml -o TestReader.single_img_path="./doc/imgs_en/" Global.checkpoints="./output/det_db/best_accuracy"
```

View File

@ -269,7 +269,9 @@ def train_eval_det_run(config, exe, train_info_dict, eval_info_dict):
except fluid.core.EOFException:
train_loader.reset()
if save_epoch_step == 1:
save_path = save_model_dir + "/iter_epoch_0"
save_model(train_info_dict['train_program'],save_path)
if epoch > 0 and epoch % save_epoch_step == 0:
save_path = save_model_dir + "/iter_epoch_%d" % (epoch)
save_model(train_info_dict['train_program'], save_path)
@ -346,7 +348,9 @@ def train_eval_rec_run(config, exe, train_info_dict, eval_info_dict):
except fluid.core.EOFException:
train_loader.reset()
if save_epoch_step == 1:
save_path = save_model_dir + "/iter_epoch_0"
save_model(train_info_dict['train_program'],save_path)
if epoch > 0 and epoch % save_epoch_step == 0:
save_path = save_model_dir + "/iter_epoch_%d" % (epoch)
save_model(train_info_dict['train_program'], save_path)