51 lines
1.6 KiB
Python
51 lines
1.6 KiB
Python
import os
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import numpy as np
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from app.core.config import SEG_CACHE_PATH
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from ..builder import PIPELINES
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from ...utils.design_ensemble import get_seg_result
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@PIPELINES.register_module()
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class Segmentation(object):
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# @ClassCallRunTime
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def __call__(self, result):
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# 本地查询seg 缓存是否存在
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_, seg_result = self.load_seg_result(result["image_id"])
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result['seg_result'] = seg_result
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if not _:
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# 推理获得seg 结果
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seg_result = get_seg_result(result["image_id"], result['image'])[0]
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self.save_seg_result(seg_result, result['image_id'])
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# 处理前片后片
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temp_front = seg_result == 1.0
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result['front_mask'] = (255 * (temp_front + 0).astype(np.uint8))
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temp_back = seg_result == 2.0
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result['back_mask'] = (255 * (temp_back + 0).astype(np.uint8))
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result['mask'] = result['front_mask'] + result['back_mask']
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return result
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@staticmethod
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def save_seg_result(seg_result, image_id):
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file_path = f"{SEG_CACHE_PATH}{image_id}.npy"
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try:
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np.save(file_path, seg_result)
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print("保存成功", os.path.abspath(file_path))
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except Exception as e:
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print(f"保存失败: {e}")
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@staticmethod
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def load_seg_result(image_id):
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file_path = f"{SEG_CACHE_PATH}{image_id}.npy"
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try:
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seg_result = np.load(file_path)
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return True, seg_result
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except FileNotFoundError:
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print("文件不存在")
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return False, None
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except Exception as e:
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print(f"加载失败: {e}")
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return False, None
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