feature(train): 新增预览

TODO: 更改曲线值输出

backend/cp_train.py

@@ -16,8 +16,12 @@ os.environ["CELLPOSE_LOCAL_MODELS_PATH"] = MODELS_DIR
 
 r = redis.Redis(host="127.0.0.1", port=6379, db=0)
 
-def set_status(task_id, status, **extra):
+def set_status(task_id, status, train_losses, test_losses, **extra):
-    payload = {"status": status, "updated_at": datetime.datetime.utcnow().isoformat(), **extra}
+    payload = {"status": status,
+               "updated_at": datetime.datetime.utcnow().isoformat(),
+               "train_losses": train_losses.tolist() if hasattr(train_losses, "tolist") else train_losses,
+               "test_losses": test_losses.tolist() if hasattr(test_losses, "tolist") else test_losses,
+               **extra}
     r.set(f"task:{task_id}", json.dumps(payload), ex=86400)  # 1 天过期
 
 def get_status(task_id):
@@ -47,13 +51,15 @@ class Cptrain:
 
         model = models.CellposeModel(gpu=True, pretrained_model=base_model)
 
-        set_status(time, "running")
+        set_status(time, "running", None, None)
 
         model_path, train_losses, test_losses = train.train_seg(model.net,
                                                                 train_data=images, train_labels=labels,
                                                                 test_data=test_images, test_labels=test_labels,
                                                                 weight_decay=0.1, learning_rate=1e-5,
                                                                 n_epochs=100, model_name=model_name,
-                                                                save_path=MODELS_DIR)
+                                                                save_path=BASE_DIR)
 
+        set_status(time, "done", train_losses, test_losses)
         print("模型已保存到:", model_path)
+        return train_losses, test_losses

backend/flaskApp.py

@@ -43,6 +43,14 @@ def set_status(task_id, status, **extra):
     payload = {"status": status, "updated_at": datetime.datetime.utcnow().isoformat(), **extra}
     r.set(f"task:{task_id}", json.dumps(payload), ex=86400)  # 1 天过期
 
+def set_train_status(task_id, status, train_losses, test_losses, **extra):
+    payload = {"status": status,
+               "updated_at": datetime.datetime.utcnow().isoformat(),
+               "train_losses": train_losses.tolist() if hasattr(train_losses, "tolist") else train_losses,
+               "test_losses": test_losses.tolist() if hasattr(test_losses, "tolist") else test_losses,
+               **extra}
+    r.set(f"task:{task_id}", json.dumps(payload), ex=86400)  # 1 天过期
+
 def get_status(task_id):
     raw = r.get(f"task:{task_id}")
     return json.loads(raw) if raw else None
@@ -138,6 +146,8 @@ def train_upload():
 
     train_files = request.files.getlist("train_files")
     test_files = request.files.getlist("test_files")
+    os.makedirs(Path(TRAIN_DIR) /  ts, exist_ok=True)
+    os.makedirs(Path(TEST_DIR) / ts, exist_ok=True)
     set_status(ts, "pending")
     saved = []
     for f in train_files:
@@ -167,8 +177,8 @@ def train_upload():
 
     def done_cb(f):
         try:
-            f.result()
+            train_losses, test_losses = f.result()
-            set_status(ts, "success")
+            set_train_status(ts, "success", train_losses, test_losses)
         except Exception as e:
             set_status(ts, "failed", error=str(e))
 
@@ -216,4 +226,12 @@ def preview():
 @app.get("/models")
 def list_models():
     models_list = os.listdir(MODELS_DIR)
-    return jsonify({"ok": True, "models": models_list})
+    return jsonify({"ok": True, "models": models_list})
+
+@app.get("/result")
+def list_results():
+    task_id = request.args.get('id')
+    st = get_status(task_id)
+    if not st:
+        return jsonify({"ok": True, "exists": False, "status": "not_found"}), 200
+    return jsonify({"ok": True, "exists": True, **st}), 200

frontend/run.html

@@ -59,7 +59,7 @@
     crossorigin="anonymous"></script>
   <script>
     const API = "http://10.147.18.141:5000/";
-    const APT_UPLOAD = API + "run_upload";
+    const API_UPLOAD = API + "run_upload";
     const API_MODEL = API + "models";
 
     async function loadModels() {

frontend/train.html

@@ -64,7 +64,7 @@
         crossorigin="anonymous"></script>
     <script>
         const API = "http://10.147.18.141:5000/";
-        const APT_UPLOAD = API + "train_upload";
+        const API_UPLOAD = API + "train_upload";
         const API_MODEL = API + "models";
 
         async function loadModels() {
@@ -140,7 +140,8 @@
         document.getElementById("uploadBtn").addEventListener("click", async () => {
             const input_train = document.getElementById("trainFileInput");
             const input_test = document.getElementById("testFileInput");
-            if (!input.files.length) return alert("请选择文件");
+            if (!input_train.files.length) return alert("请选择训练文件");
+            if (!input_test.files.length) return alert("请选择训练文件");
 
             const fd = new FormData();
             for (const f of input_train.files) fd.append("train_files", f);
@@ -180,7 +181,7 @@
                     } else {
                         clearInterval(timer);
                         document.body.removeChild(notice);
-                        window.location.href = `preview.html?id=${encodeURIComponent(res.data['id'])}`;
+                        window.location.href = `train_result.html?id=${encodeURIComponent(res.data['id'])}`;
                     }
                 }, 1000);
             } catch (e) {