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feat : 代码梳理 移除所有敏感密钥 通过环境变量方式配置
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zcr
2025-12-30 16:49:08 +08:00
parent 1be716e414
commit 18024a2d70
167 changed files with 5283 additions and 10464 deletions
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17
app/service/design_fast/pipeline/split.py
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@@ -4,9 +4,7 @@ import logging
import cv2
import numpy as np
from PIL import Image
from cv2 import cvtColor, COLOR_BGR2RGBA
from app.core.config import AIDA_CLOTHING
from app.service.design_fast.utils.conversion_image import rgb_to_rgba
from app.service.design_fast.utils.transparent import sketch_to_transparent
from app.service.design_fast.utils.upload_image import upload_png_mask
@@ -41,7 +39,7 @@ class Split(object):
result_front_image = np.zeros_like(rgba_image)
front_mask = cv2.resize(front_mask, new_size, interpolation=cv2.INTER_AREA)
result_front_image[front_mask != 0] = rgba_image[front_mask != 0]
result_front_image_pil = Image.fromarray(cvtColor(result_front_image, COLOR_BGR2RGBA))
result_front_image_pil = Image.fromarray(cv2.cvtColor(result_front_image, cv2.COLOR_BGR2RGBA))
if 'transparent' in result.keys():
# 用户自选区域transparent
transparent = result['transparent']
@@ -106,26 +104,27 @@ class Split(object):
result_back_image = np.zeros_like(rgba_image)
back_mask = cv2.resize(back_mask, new_size, interpolation=cv2.INTER_AREA)
result_back_image[back_mask != 0] = rgba_image[back_mask != 0]
result_back_image_pil = Image.fromarray(cvtColor(result_back_image, COLOR_BGR2RGBA))
result_back_image_pil = Image.fromarray(cv2.cvtColor(result_back_image, cv2.COLOR_BGR2RGBA))
result['back_image'], result["back_image_url"], _ = upload_png_mask(self.minio_client, result_back_image_pil, f'{generate_uuid()}', mask=None)
# mask_image[back_mask != 0] = [0, 255, 0]
mask_image[ori_back_mask != 0] = [0, 255, 0]
rbga_mask = rgb_to_rgba(mask_image, ori_front_mask + ori_back_mask)
mask_pil = Image.fromarray(cvtColor(rbga_mask.astype(np.uint8), COLOR_BGR2RGBA))
mask_pil = Image.fromarray(cv2.cvtColor(rbga_mask.astype(np.uint8), cv2.COLOR_BGR2RGBA))
image_data = io.BytesIO()
mask_pil.save(image_data, format='PNG')
image_data.seek(0)
image_bytes = image_data.read()
req = oss_upload_image(oss_client=self.minio_client, bucket=AIDA_CLOTHING, object_name=f"mask/mask_{generate_uuid()}.png", image_bytes=image_bytes)
req = oss_upload_image(oss_client=self.minio_client, bucket="aida-clothing", object_name=f"mask/mask_{generate_uuid()}.png", image_bytes=image_bytes)
result['mask_url'] = req.bucket_name + "/" + req.object_name
else:
ori_front_mask, ori_back_mask = None, None
# 创建中间图层(未分割图层) 1.color + overall_print 2.color + overall_print + print
result_pattern_overall_image_pil = Image.fromarray(cvtColor(rgb_to_rgba(result['no_seg_sketch_overall'], ori_front_mask + ori_back_mask), COLOR_BGR2RGBA))
result_pattern_overall_image_pil = Image.fromarray(cv2.cvtColor(rgb_to_rgba(result['no_seg_sketch_overall'], ori_front_mask + ori_back_mask), cv2.COLOR_BGR2RGBA))
result['pattern_overall_image'], result['pattern_overall_image_url'], _ = upload_png_mask(self.minio_client, result_pattern_overall_image_pil, f'{generate_uuid()}')
result_pattern_print_image_pil = Image.fromarray(cvtColor(rgb_to_rgba(result['no_seg_sketch_print'], ori_front_mask + ori_back_mask), COLOR_BGR2RGBA))
result_pattern_print_image_pil = Image.fromarray(cv2.cvtColor(rgb_to_rgba(result['no_seg_sketch_print'], ori_front_mask + ori_back_mask), cv2.COLOR_BGR2RGBA))
result['pattern_print_image'], result['pattern_print_image_url'], _ = upload_png_mask(self.minio_client, result_pattern_print_image_pil, f'{generate_uuid()}')
return result
except Exception as e: