Wire up wandb logging for Step1 training

- Global.use_wandb: True + top-level wandb.project=kr_lp_pgnet
- Add wandb to setup_server.sh pip install list

User must run `docker exec -it kr_lp_pgnet wandb login` once before
training so the API key lands in /root/.netrc inside the container.

Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>

configs/kr_lp_pgnet.yml

@@ -11,6 +11,7 @@ Global:
   checkpoints:
   save_inference_dir:
   use_visualdl: False
+  use_wandb: True
   infer_img:
   infer_visual_type: CN
   valid_set: partvgg
@@ -21,6 +22,10 @@ Global:
   max_text_nums: 5
   tcl_len: 64
 
+wandb:
+  project: kr_lp_pgnet
+  name: step1-pretrain
+
 Architecture:
   model_type: e2e
   algorithm: PGNet

scripts/setup_server.sh

@@ -54,8 +54,8 @@ while IFS= read -r line; do
     $PIP install $PIP_OPTS --ignore-installed "$line" 2>/dev/null || echo "  skip: $line"
 done < /tmp/kr_lp_req.txt
 
-echo "[5/7] OpenCV (numpy2 호환) + numpy<2 (PaddleOCR release/2.7 호환성)"
-$PIP install $PIP_OPTS 'opencv-python>=4.10' 'opencv-contrib-python>=4.10'
+echo "[5/7] OpenCV (numpy2 호환) + numpy<2 (PaddleOCR release/2.7 호환성) + wandb"
+$PIP install $PIP_OPTS 'opencv-python>=4.10' 'opencv-contrib-python>=4.10' wandb
 # imgaug 등이 numpy 1.x API(np.sctypes)에 의존하므로 numpy 1.x로 핀.
 # paddle 3.3.0.dev는 numpy 1.x도 호환.
 $PIP install $PIP_OPTS 'numpy<2' --force-reinstall