mirror of
https://github.com/netfun2000/dddd_trainer.git
synced 2026-08-13 02:21:44 +08:00
sml2h3
63 lines
2.0 KiB
Python
63 lines
2.0 KiB
Python
import os
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import json
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import yaml
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class Config(object):
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def __init__(self, project_name):
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self.project_name = project_name
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self.base_path = os.path.join(os.path.dirname(os.path.dirname(os.path.abspath(__file__))), "projects")
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self.config_dict = {
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"System": {
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"Project": None,
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"GPU": True,
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"GPU_ID": 0,
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"Allow_Ext": ["jpg", "jpeg", "png", "bmp"],
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"Path": "",
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"Val": 0.03
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},
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"Model": {
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"ImageWidth": -1,
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"ImageHeight": 64,
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"ImageChannel": 1,
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"CharSet": [],
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"Word": False
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},
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"Train": {
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"BATCH_SIZE": 32,
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"TEST_BATCH_SIZE": 32,
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'CNN': {
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"NAME": "ddddocr",
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},
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'DROPOUT': 0.3,
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'OPTIMIZER': 'SGD',
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"TEST_STEP": 1000,
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"SAVE_CHECKPOINTS_STEP": 2000,
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"TARGET": {
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"Accuracy": 0.97,
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"Epoch": 200,
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"Cost": 0.005
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},
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"LR": 0.01
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}
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}
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def make_config(self, config_dict=None, single: bool = False):
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if not config_dict:
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config_dict = self.config_dict
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if single:
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config_dict['Model']['Word'] = True
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config_dict["System"]["Project"] = self.project_name
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config_path = os.path.join(self.base_path, self.project_name, "config.yaml")
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with open(config_path, 'w', encoding="utf-8") as f:
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yaml.dump(config_dict, f, allow_unicode=True, default_flow_style=None, indent=4)
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def load_config(self):
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config_path = os.path.join(self.base_path, self.project_name, "config.yaml")
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with open(config_path, 'r', encoding="utf-8") as f:
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config_dict = yaml.load(f, Loader=yaml.FullLoader)
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return config_dict
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