feat 代码整理

fix

app/service/design_fast/pipeline/segmentation.py

@@ -0,0 +1,70 @@
+import logging
+import os
+
+import cv2
+import numpy as np
+
+from app.core.config import SEG_CACHE_PATH
+from app.service.design.utils.design_ensemble import get_seg_result
+from app.service.utils.new_oss_client import oss_get_image
+
+logger = logging.getLogger()
+
+
+class Segmentation:
+    def __init__(self, minio_client):
+        self.minio_client = minio_client
+
+    def __call__(self, result):
+        if "seg_mask_url" in result.keys() and result['seg_mask_url'] != "":
+            seg_mask = oss_get_image(oss_client=self.minio_client, bucket=result['seg_mask_url'].split('/')[0], object_name=result['seg_mask_url'][result['seg_mask_url'].find('/') + 1:], data_type="cv2")
+            seg_mask = cv2.resize(seg_mask, (result['img_shape'][1], result['img_shape'][0]), interpolation=cv2.INTER_NEAREST)
+            # 转换颜色空间为 RGB（OpenCV 默认是 BGR）
+            image_rgb = cv2.cvtColor(seg_mask, cv2.COLOR_BGR2RGB)
+
+            r, g, b = cv2.split(image_rgb)
+            red_mask = r > g
+            green_mask = g > r
+
+            # 创建红色和绿色掩码
+            result['front_mask'] = np.array(red_mask, dtype=np.uint8) * 255
+            result['back_mask'] = np.array(green_mask, dtype=np.uint8) * 255
+            result['mask'] = result['front_mask'] + result['back_mask']
+        else:
+            # 本地查询seg 缓存是否存在
+            _, seg_result = self.load_seg_result(result["image_id"])
+            result['seg_result'] = seg_result
+            if not _:
+                # 推理获得seg 结果
+                seg_result = get_seg_result(result["image_id"], result['image'])[0]
+                self.save_seg_result(seg_result, result['image_id'])
+            # 处理前片后片
+            temp_front = seg_result == 1.0
+            result['front_mask'] = (255 * (temp_front + 0).astype(np.uint8))
+            temp_back = seg_result == 2.0
+            result['back_mask'] = (255 * (temp_back + 0).astype(np.uint8))
+            result['mask'] = result['front_mask'] + result['back_mask']
+        return result
+
+    @staticmethod
+    def save_seg_result(seg_result, image_id):
+        file_path = f"{SEG_CACHE_PATH}{image_id}.npy"
+        try:
+            np.save(file_path, seg_result)
+            logger.info("保存成功", os.path.abspath(file_path))
+        except Exception as e:
+            logger.error(f"保存失败: {e}")
+
+    @staticmethod
+    def load_seg_result(image_id):
+        file_path = f"{SEG_CACHE_PATH}{image_id}.npy"
+        logger.info(f"load seg file name is :{SEG_CACHE_PATH}{image_id}.npy")
+        try:
+            seg_result = np.load(file_path)
+            return True, seg_result
+        except FileNotFoundError:
+            logger.warning("文件不存在")
+            return False, None
+        except Exception as e:
+            logger.error(f"加载失败: {e}")
+            return False, None