fix import path problem in deployment.py

cluster4npu_ui/core/functions/Multidongle.py

@@ -330,7 +330,7 @@ class MultiDongle:
         # kp.core.set_timeout(device_group=self.device_group, milliseconds=5000)
         # print(' - Success')
 
-        if self.upload_fw:
+        # if self.upload_fw:
         try:
             print('[Upload Firmware]')
             kp.core.load_firmware_from_file(device_group=self.device_group,

cluster4npu_ui/test.mflow

@@ -3,7 +3,7 @@
   "description": "",
   "nodes": [
     {
-      "id": "0x1131773d0",
+      "id": "0x1b8706d5710",
       "name": "Input Node",
       "type": "ExactInputNode",
       "pos": [
@@ -19,24 +19,24 @@
       }
     },
     {
-      "id": "0x12b4ae9d0",
+      "id": "0x1b8706f4bd0",
       "name": "Model Node",
       "type": "ExactModelNode",
       "pos": [
-        295.0,
-        292.0
+        245.18958624423732,
+        292.00000000000006
       ],
       "properties": {
         "dongle_series": "520",
         "num_dongles": 1,
-        "model_path": "",
-        "scpu_fw_path": "",
-        "ncpu_fw_path": "",
-        "port_id": ""
+        "model_path": "C:/Users/mason/AppData/Local/Kneron_Academy/utils/yolov5s/yolov5s/kl520_20005_yolov5-noupsample_w640h640.nef",
+        "scpu_fw_path": "C:/Users/mason/Downloads/kneron_plus_v3.1.2/kneron_plus/res/firmware/KL520/fw_scpu.bin",
+        "ncpu_fw_path": "C:/Users/mason/Downloads/kneron_plus_v3.1.2/kneron_plus/res/firmware/KL520/fw_ncpu.bin",
+        "port_id": "6, 32"
       }
     },
     {
-      "id": "0x12b4aff50",
+      "id": "0x1b8706f6790",
       "name": "Output Node",
       "type": "ExactOutputNode",
       "pos": [
@@ -44,38 +44,65 @@
         430.1696952829989
       ],
       "properties": {
-        "output_type": "File",
+        "output_type": "Display",
         "format": "JSON",
-        "destination": "",
+        "destination": "C:/Users/mason/Downloads/test.json",
         "save_interval": 1.0
       }
     },
     {
-      "id": "0x12b4c8990",
+      "id": "0x1b8706f7950",
       "name": "Preprocess Node",
       "type": "ExactPreprocessNode",
       "pos": [
-        230.0,
-        190.0
+        575.7830427160366,
+        150.8128173029918
       ],
       "properties": {
-        "resize_width": 112,
-        "resize_height": 112,
+        "resize_width": 144,
+        "resize_height": 144,
         "operations": "resize,normalize"
       }
+    },
+    {
+      "id": "0x1b870700c90",
+      "name": "Postprocess Node",
+      "type": "ExactPostprocessNode",
+      "pos": [
+        272.09359134850405,
+        474.2416550230502
+      ],
+      "properties": {
+        "output_format": "JSON",
+        "confidence_threshold": 0.5,
+        "nms_threshold": 0.4,
+        "max_detections": 100
+      }
     }
   ],
   "connections": [
     {
-      "input_node": "0x12b4ae9d0",
+      "input_node": "0x1b8706f7950",
       "input_port": "input",
-      "output_node": "0x1131773d0",
+      "output_node": "0x1b8706d5710",
       "output_port": "output"
     },
     {
-      "input_node": "0x12b4aff50",
+      "input_node": "0x1b870700c90",
       "input_port": "input",
-      "output_node": "0x12b4ae9d0",
+      "output_node": "0x1b8706f4bd0",
+      "output_port": "output"
+    },
+    {
+      "input_node": "0x1b8706f4bd0",
+      "input_port": "input",
+      "output_node": "0x1b8706f7950",
+      "output_port": "output"
+    },
+    {
+      "input_node": "0x1b8706f6790",
+      "input_port": "input",
+      "output_node": "0x1b870700c90",
       "output_port": "output"
     }
   ],

cluster4npu_ui/ui/dialogs/deployment.py

@@ -37,16 +37,17 @@ from PyQt5.QtGui import QFont, QColor, QPalette, QImage, QPixmap
 sys.path.append(os.path.join(os.path.dirname(__file__), '..', '..', 'core', 'functions'))
 
 try:
-    from mflow_converter import MFlowConverter, PipelineConfig
+    from ...core.functions.mflow_converter import MFlowConverter, PipelineConfig
     CONVERTER_AVAILABLE = True
 except ImportError as e:
     print(f"Warning: MFlow converter not available: {e}")
     CONVERTER_AVAILABLE = False
 
 try:
-    from InferencePipeline import InferencePipeline
-    from Multidongle import MultiDongle
-    from workflow_orchestrator import WorkflowOrchestrator
+    from ...core.functions.Multidongle import MultiDongle
+    from ...core.functions.InferencePipeline import InferencePipeline
+    from ...core.functions.workflow_orchestrator import WorkflowOrchestrator
+    # from workflow_orchestrator import WorkflowOrchestrator
     PIPELINE_AVAILABLE = True
 except ImportError as e:
     print(f"Warning: Pipeline system not available: {e}")