初始提交：识流 AI 助手项目

微信自动回复机器人，基于截图+OCR识别消息，支持关键词规则和 AI（OpenAI/DeepSeek/Dify）自动回复。技术栈：PySide6 + Flask + Vue3 + RapidOCR + SQLite 注：OCR大模型文件（.onnx / .pdiparams）不纳入版本控制，需单独下载。 🤖 Generated with [Qoder][https://qoder.com]
2026-05-30 14:57:45 +08:00
commit 81115dc23d
129 changed files with 56398 additions and 0 deletions
@@ -0,0 +1,13 @@
+{
+    "input_path": "/root/.paddlex/predict_input/img_textline180_demo.jpg",
+    "page_index": null,
+    "class_ids": [
+        1
+    ],
+    "scores": [
+        0.9926199913024902
+    ],
+    "label_names": [
+        "180_degree"
+    ]
+}
@@ -0,0 +1,46 @@
+Global:
+  model_name: PP-LCNet_x1_0_textline_ori
+Hpi:
+  backend_configs:
+    paddle_infer:
+      trt_dynamic_shapes: &id001
+        x:
+        - - 1
+          - 3
+          - 80
+          - 160
+        - - 1
+          - 3
+          - 80
+          - 160
+        - - 8
+          - 3
+          - 80
+          - 160
+    tensorrt:
+      dynamic_shapes: *id001
+PreProcess:
+  transform_ops:
+  - ResizeImage:
+      size:
+      - 160
+      - 80
+  - NormalizeImage:
+      channel_num: 3
+      mean:
+      - 0.485
+      - 0.456
+      - 0.406
+      order: ''
+      scale: 0.00392156862745098
+      std:
+      - 0.229
+      - 0.224
+      - 0.225
+  - ToCHWImage: null
+PostProcess:
+  Topk:
+    topk: 1
+    label_list:
+    - 0_degree
+    - 180_degree
@@ -0,0 +1 @@
+Revision:master,CreatedAt:1751519009
@@ -0,0 +1,111 @@
+{
+    "Global": {
+        "model_name": "PP-OCRv5_server_det"
+    },
+    "Hpi": {
+        "backend_configs": {
+            "paddle_infer": {
+                "trt_dynamic_shapes": {
+                    "x": [
+                        [
+                            1,
+                            3,
+                            32,
+                            32
+                        ],
+                        [
+                            1,
+                            3,
+                            736,
+                            736
+                        ],
+                        [
+                            1,
+                            3,
+                            4000,
+                            4000
+                        ]
+                    ]
+                }
+            },
+            "tensorrt": {
+                "dynamic_shapes": {
+                    "x": [
+                        [
+                            1,
+                            3,
+                            32,
+                            32
+                        ],
+                        [
+                            1,
+                            3,
+                            736,
+                            736
+                        ],
+                        [
+                            1,
+                            3,
+                            4000,
+                            4000
+                        ]
+                    ]
+                }
+            }
+        }
+    },
+    "PreProcess": {
+        "transform_ops": [
+            {
+                "DecodeImage": {
+                    "channel_first": false,
+                    "img_mode": "BGR"
+                }
+            },
+            {
+                "DetLabelEncode": null
+            },
+            {
+                "DetResizeForTest": {
+                    "resize_long": 960
+                }
+            },
+            {
+                "NormalizeImage": {
+                    "mean": [
+                        0.485,
+                        0.456,
+                        0.406
+                    ],
+                    "order": "hwc",
+                    "scale": "1./255.",
+                    "std": [
+                        0.229,
+                        0.224,
+                        0.225
+                    ]
+                }
+            },
+            {
+                "ToCHWImage": null
+            },
+            {
+                "KeepKeys": {
+                    "keep_keys": [
+                        "image",
+                        "shape",
+                        "polys",
+                        "ignore_tags"
+                    ]
+                }
+            }
+        ]
+    },
+    "PostProcess": {
+        "name": "DBPostProcess",
+        "thresh": 0.3,
+        "box_thresh": 0.6,
+        "max_candidates": 1000,
+        "unclip_ratio": 1.5
+    }
+}
@@ -0,0 +1,53 @@
+Global:
+  model_name: PP-OCRv5_server_det
+Hpi:
+  backend_configs:
+    paddle_infer:
+      trt_dynamic_shapes: &id001
+        x:
+        - - 1
+          - 3
+          - 32
+          - 32
+        - - 1
+          - 3
+          - 736
+          - 736
+        - - 1
+          - 3
+          - 4000
+          - 4000
+    tensorrt:
+      dynamic_shapes: *id001
+PreProcess:
+  transform_ops:
+  - DecodeImage:
+      channel_first: false
+      img_mode: BGR
+  - DetLabelEncode: null
+  - DetResizeForTest:
+      resize_long: 960
+  - NormalizeImage:
+      mean:
+      - 0.485
+      - 0.456
+      - 0.406
+      order: hwc
+      scale: 1./255.
+      std:
+      - 0.229
+      - 0.224
+      - 0.225
+  - ToCHWImage: null
+  - KeepKeys:
+      keep_keys:
+      - image
+      - shape
+      - polys
+      - ignore_tags
+PostProcess:
+  name: DBPostProcess
+  thresh: 0.3
+  box_thresh: 0.6
+  max_candidates: 1000
+  unclip_ratio: 1.5
@@ -0,0 +1 @@
+Revision:master,CreatedAt:1751519021