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@@ -93,7 +93,7 @@ def _call_paddlex_evaluate_model(task_path,
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topk=5,
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score_thresh=0.3,
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overlap_thresh=0.5):
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- evaluate_status_path = osp.join(task_path, './logs/evaluate')
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+ evaluate_status_path = osp.join(task_path, 'logs/evaluate')
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sys.stdout = open(
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osp.join(evaluate_status_path, 'out.log'), 'w', encoding='utf-8')
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sys.stderr = open(
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@@ -636,7 +636,7 @@ def evaluate_model(task_path,
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output_path = osp.join(task_path, 'output')
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if not osp.exists(osp.join(output_path, 'best_model')):
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raise Exception("未在训练路径{}下发现保存的best_model,无法进行评估".format(output_path))
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- evaluate_status_path = osp.join(task_path, './logs/evaluate')
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+ evaluate_status_path = osp.join(task_path, 'logs/evaluate')
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safe_clean_folder(evaluate_status_path)
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if epoch is None:
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model_path = osp.join(output_path, 'best_model')
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@@ -657,7 +657,7 @@ def get_evaluate_status(task_path):
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Args:
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task_path(str): 训练任务文件夹
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"""
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- evaluate_status_path = osp.join(task_path, './logs/evaluate')
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+ evaluate_status_path = osp.join(task_path, 'logs/evaluate')
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if not osp.exists(evaluate_status_path):
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return None, "No evaluate fold in path {}".format(task_path)
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status, message = get_folder_status(evaluate_status_path, True)
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@@ -689,7 +689,7 @@ def get_predict_status(task_path):
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task_path(str): 从predict_path下的'XPRESTART'文件中获取训练的进程id
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"""
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from ..utils import list_files
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- predict_status_path = osp.join(task_path, "./logs/predict")
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+ predict_status_path = osp.join(task_path, "logs/predict")
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save_dir = osp.join(task_path, "visualized_test_results")
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if not osp.exists(save_dir):
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return None, "任务目录下没有visualized_test_results文件夹,{}".format(
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@@ -744,7 +744,7 @@ def predict_test_pics(task_path,
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params_conf_file), "任务无法启动,路径{}下不存在参数配置文件params.pkl".format(task_path)
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with open(params_conf_file, 'rb') as f:
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params = pickle.load(f)
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- predict_status_path = osp.join(task_path, "./logs/predict")
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+ predict_status_path = osp.join(task_path, "logs/predict")
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safe_clean_folder(predict_status_path)
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save_dir = osp.join(task_path, 'visualized_test_results')
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safe_clean_folder(save_dir)
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@@ -764,7 +764,7 @@ def stop_predict_task(task_path):
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task_path(str): 从predict_path下的'XPRESTART'文件中获取训练的进程id
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"""
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from ..utils import list_files
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- predict_status_path = osp.join(task_path, "./logs/predict")
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+ predict_status_path = osp.join(task_path, "logs/predict")
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save_dir = osp.join(task_path, "visualized_test_results")
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if not osp.exists(save_dir):
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return None, "任务目录下没有visualized_test_results文件夹,{}".format(
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@@ -813,7 +813,7 @@ def get_export_status(task_path):
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Return:
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导出的状态和其他消息.
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"""
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- export_status_path = osp.join(task_path, './logs/export')
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+ export_status_path = osp.join(task_path, 'logs/export')
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if not osp.exists(export_status_path):
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return None, "{}任务目录下没有export文件夹".format(task_path)
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status, message = get_folder_status(export_status_path, True)
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@@ -848,7 +848,7 @@ def export_quant_model(task_path, save_dir, epoch=None):
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output_path = osp.join(task_path, 'output')
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if not osp.exists(osp.join(output_path, 'best_model')):
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raise Exception("未在训练路径{}下发现保存的best_model,导出失败".format(output_path))
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- export_status_path = osp.join(task_path, './logs/export')
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+ export_status_path = osp.join(task_path, 'logs/export')
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safe_clean_folder(export_status_path)
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params_conf_file = osp.join(task_path, 'params.pkl')
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@@ -875,7 +875,7 @@ def export_noquant_model(task_path, save_dir, epoch=None):
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output_path = osp.join(task_path, 'output')
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if not osp.exists(osp.join(output_path, 'best_model')):
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raise Exception("未在训练路径{}下发现保存的best_model,导出失败".format(output_path))
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- export_status_path = osp.join(task_path, './logs/export')
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+ export_status_path = osp.join(task_path, 'logs/export')
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safe_clean_folder(export_status_path)
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p = mp.Process(
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target=_call_paddlex_export_infer,
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@@ -902,7 +902,7 @@ def stop_export_task(task_path):
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Return:
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the export status and message.
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"""
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- export_status_path = osp.join(task_path, './logs/export')
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+ export_status_path = osp.join(task_path, 'logs/export')
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if not osp.exists(export_status_path):
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return None, "{}任务目录下没有export文件夹".format(task_path)
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status, message = get_folder_status(export_status_path, True)
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