V 2.2.10 新增MJ的代理模式

resources/scripts/Lai.py

@@ -15,9 +15,10 @@ sys.stdout = io.TextIOWrapper(sys.stdout.buffer, encoding="utf-8")
 if len(sys.argv) < 2:
     sys.argv = [
         "C:\\Users\\27698\\Desktop\\LAITool\\resources\\scripts\\Lai.exe",
-        "-c",
-        "C:/Users/27698/Desktop/测试/mjTest/scripts/output_crop_00001.json",
-        "NVIDIA",
+        "-ka",
+        "C:\\Users\\27698\\Desktop\\测试\\123\\测试用 不删.mp4",
+       "C:\\Users\\27698\\Desktop\\测试\\123\\测试用 不删.json",
+        30
     ]
 
 print(sys.argv)
@@ -84,6 +85,10 @@ elif sys.argv[1] == "-k":
     getgrame.init(sys.argv[2], sys.argv[3], sys.argv[4])
     pass
 
+elif sys.argv[1] == "-ka":
+    shotSplit.get_fram(sys.argv[2], sys.argv[3], sys.argv[4])
+    pass
+
 # 智能分镜。字幕识别
 elif sys.argv[1] == "-a":
     print("开始算法分镜：" + sys.argv[2] + " -- 输出文件夹：" + sys.argv[3])

resources/scripts/shotSplit.py

@@ -6,6 +6,7 @@ from scenedetect.stats_manager import StatsManager
 from scenedetect.detectors.content_detector import ContentDetector
 import os
 import sys
+import json
 import subprocess
 from huggingface_hub import hf_hub_download
 from faster_whisper import WhisperModel
@@ -228,6 +229,22 @@ def GetText(out_folder, mp3_list):
     sys.stdout.flush()
 
 
+def get_fram(video_path, out_path, sensitivity):
+    try:
+        shijian_list = find_scenes(video_path, sensitivity)  # 多组时间列表
+        print("总共有%s个场景" % str(len(shijian_list)))
+        print("开始输出json")
+        print(shijian_list)
+        # 将数组中的消息写道json文件中
+        with open(out_path, "w") as file:
+            # 将数组写入到指定的json文件
+            json.dump(shijian_list, file)
+        print("输出完成")
+    except Exception as e:
+        print("出现错误" + str(e))
+        exit(0)
+
+
 def init(video_path, video_out_folder, image_out_folder, sensitivity, gpu_type):
     v_l = ClipVideo(
         video_path, video_out_folder, image_out_folder, sensitivity, gpu_type