实现mode 1

README.md

@@ -27,3 +27,4 @@ lbs_path 不生成
 lbs模式: select(train==1, path=lbs_path)
 lbs优先模式: select(train==1, path=lbs_path if lbs_path else path)
 不使用lbs模式: select(train==1, path=path)
+

main.py

@@ -4,6 +4,8 @@ import os
 import pandas as pd
 import streamlit as st
 from loguru import logger
+from pydantic import BaseModel
+from sqlalchemy import and_
 
 from bak.init_data import BatchDataCreate, BatchDataRead
 from db_utils import BatchData, session
@@ -23,6 +25,35 @@ st.set_page_config(
 )
 
 
+class DataRow(BaseModel):
+    path: str | None = None
+    img_prefix: str | None = None
+    filter_empty_gt: bool = False
+    update_cache: bool = False
+
+
+def make_train_data(mode_id) -> dict[str, list]:
+    res = {
+        "train_data": [],
+        "val_data": [],
+    }
+    if mode_id == 1:
+        for db_obj in session.query(BatchData).where(and_(
+                BatchData.is_train == 1,
+                BatchData.ann_file_lbs.is_not(None)
+        )).all():
+            res['train_data'].append(DataRow(path=db_obj.ann_file_lbs,
+                                             img_prefix=db_obj.img_prefix).dict())
+
+
+
+    val_db_objs = session.query(BatchData).where(BatchData.is_validation == 1).all()
+    for db_obj in val_db_objs:
+        res['val_data'].append(DataRow(path=db_obj.ann_file_lbs,
+                                       img_prefix=db_obj.img_prefix).dict())
+    return res
+
+
 @st.cache_data
 def list_ckpt_paths(dir_path):
     return os.listdir(dir_path)
@@ -36,11 +67,11 @@ def get_data_from_db():
 
 st.session_state.setdefault('data_table', [])
 st.session_state.setdefault('username', '')
-st.session_state.setdefault('evolve_r', 0.2)
+st.session_state.setdefault('evolve_r', 0.02)
 st.session_state.setdefault('n_trail', 10)
-st.session_state.setdefault('n_epoch', 2)
+st.session_state.setdefault('n_epoch', 1)
 st.session_state.setdefault('ckpt_path', list_ckpt_paths(BASE_CKPT_DIR)[0])
-st.session_state.setdefault('mode', 2)
+st.session_state.setdefault('mode', 1)
 st.session_state.setdefault('configs', {
     k: st.session_state[k] for k in ('evolve_r', 'n_trail', 'n_epoch', 'ckpt_path', 'mode')
 })
@@ -52,6 +83,7 @@ left_col, right_col = st.columns([3, 1])
 
 def train():
     right_col.json({k: st.session_state[k] for k in ('evolve_r', 'n_trail', 'n_epoch', 'ckpt_path', 'mode')})
+    right_col.json(make_train_data(st.session_state.mode))
 
 
 def table_update_handler():