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train_user_get_data.py
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train_user_get_data.py
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from online.train_users_model import GenerateUserData
"""
成对的数据,其中本代码用于从服务器获取数据,train_users_model用于在北京训练模型
操作分为三部分:
1. python3 train_user_get_data.py | 生成数据
2. python3 train_users_model.py
3. python3 train_users_download_model.py | 下载数据
"""
if __name__ == '__main__':
gud_inst = GenerateUserData()
# gud_inst.get_user_ids_from_db()
arr = [
["1774037545", "av_res/so_vits_models/3.0_v1/1774037545_2.pth", 2],
["3634613822", "av_res/so_vits_models/3.0_v1/3634613822_2.pth", 2],
["3634620621", "av_res/so_vits_models/3.0_v1/3634620621_1.pth", 1],
["3634762753", "av_res/so_vits_models/3.0_v1/3634762753_1.pth", 1],
["3634838529", "av_res/so_vits_models/3.0_v1/3634838529_2.pth", 2],
["3635098559", "av_res/so_vits_models/3.0_v1/3635098559_1.pth", 1],
["3635291895", "av_res/so_vits_models/3.0_v1/3635291895_1.pth", 1],
["3635456421", "av_res/so_vits_models/3.0_v1/3635456421_2.pth", 2],
["3636200631", "av_res/so_vits_models/3.0_v1/3636200631_2.pth", 2],
["3636252146", "av_res/so_vits_models/3.0_v1/3636252146_2.pth", 2],
["3636504073", "av_res/so_vits_models/3.0_v1/3636504073_2.pth", 2],
["3637044390", "av_res/so_vits_models/3.0_v1/3637044390_2.pth", 2],
["3637718089", "av_res/so_vits_models/3.0_v1/3637718089_1.pth", 1],
["3638116992", "av_res/so_vits_models/3.0_v1/3638116992_1.pth", 1],
["3638859695", "av_res/so_vits_models/3.0_v1/3638859695_1.pth", 1],
["3639430202", "av_res/so_vits_models/3.0_v1/3639430202_2.pth", 2],
["3639532516", "av_res/so_vits_models/3.0_v1/3639532516_2.pth", -1],
["3639734898", "av_res/so_vits_models/3.0_v1/3639734898_1.pth", 1],
["3639781478", "av_res/so_vits_models/3.0_v1/3639781478_1.pth", 1],
["3639790461", "av_res/so_vits_models/3.0_v1/3639790461_1.pth", 1],
["3639851605", "av_res/so_vits_models/3.0_v1/3639851605_2.pth", -1],
["3640773056", "av_res/so_vits_models/3.0_v1/3640773056_1.pth", 1],
["3640842366", "av_res/so_vits_models/3.0_v1/3640842366_2.pth", -1],
]
gud_inst.download_model_and_update_gender(arr)

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