base_deal.py 55 KB

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  1. import json
  2. from .module_generate_goods_art_no_table import GenerateGoodsArtNoTable
  3. from func_timeout import FunctionTimedOut
  4. from .grenerate_main_image_test import GeneratePic
  5. from threading import Lock
  6. import settings
  7. from collections import defaultdict
  8. from .remove_bg_ali import RemoveBgALi, Picture
  9. from .deal_cutout import DealCutout
  10. # from data import DataModeAutoDealPics
  11. import time
  12. from .image_pic_deal import OnePicDeal
  13. from natsort import natsorted,ns
  14. import os
  15. import shutil
  16. import exifread
  17. import datetime
  18. from databases import DeviceConfig,SqlQuery,CRUD
  19. from model.photo_record import PhotoRecord
  20. import requests
  21. import copy
  22. """
  23. 照片自动货号匹配 将图片放置在指定文件夹下,并自动对应不同的货号进行整理
  24. """
  25. _Type = ['.png', '.PNG', '.jpg', '.JPG', '.gif', '.GIF', ".jpge", ".JPGE"]
  26. class BaseDealImage(object):
  27. def __init__(self, image_dir=None,token=None):
  28. self.token = token
  29. self.goods_images_count_dict = defaultdict(int)
  30. # 数据模型
  31. # self.data_mode_auto_deal_pics = DataModeAutoDealPics()
  32. self.image_dir = image_dir
  33. pass
  34. def run_main(self, all_goods_art_no_folder_data, callback_func=None, cutout_mode=None,
  35. resize_image_view=None, windows=None, logo_path=None, image_order_list=None):
  36. # 对所有缺失已抠图的进行抠图处理
  37. self.run_cutout_image(all_goods_art_no_folder_data=all_goods_art_no_folder_data,
  38. callback_func=callback_func,
  39. cutout_mode=cutout_mode,
  40. windows=windows,
  41. )
  42. error_num = 0
  43. successful_num = 0
  44. for goods_art_no_folder_data in all_goods_art_no_folder_data:
  45. if goods_art_no_folder_data["label"] != "待处理":
  46. continue
  47. if windows:
  48. if windows.state != 1:
  49. break
  50. folder_name = goods_art_no_folder_data["folder_name"]
  51. callback_func("开始处理文件夹========== {} ".format(folder_name))
  52. if settings.IS_TEST:
  53. flag = self.shoes_run_one_folder_to_deal(goods_art_no_folder_data=goods_art_no_folder_data,
  54. resize_image_view=resize_image_view,
  55. logo_path=logo_path,
  56. image_order_list=image_order_list,
  57. callback_func=callback_func,
  58. windows=windows,
  59. )
  60. if flag is None:
  61. callback_func("货号:{} 数据异常".format(folder_name))
  62. else:
  63. if flag:
  64. successful_num += 1
  65. callback_func("货号:{} 图片生成处理成功".format(folder_name))
  66. else:
  67. error_num += 1
  68. callback_func("货号:{} 图片生成处理失败".format(folder_name))
  69. else:
  70. try:
  71. flag = self.shoes_run_one_folder_to_deal(goods_art_no_folder_data=goods_art_no_folder_data,
  72. resize_image_view=resize_image_view,
  73. logo_path=logo_path,
  74. image_order_list=image_order_list,
  75. callback_func=callback_func,
  76. windows=windows,
  77. )
  78. if flag is None:
  79. callback_func("货号:{} 数据异常".format(folder_name))
  80. else:
  81. if flag:
  82. successful_num += 1
  83. callback_func("货号:{} 图片生成处理成功".format(folder_name))
  84. else:
  85. error_num += 1
  86. callback_func("货号:{} 图片生成处理失败".format(folder_name))
  87. except BaseException as e:
  88. error_num += 1
  89. import traceback
  90. traceback.print_exc()
  91. callback_func("货号:{} 图片生成处理异常,原因:{}".format(folder_name, e))
  92. callback_func("处理成功:{}个,失败:{}".format(successful_num, error_num))
  93. def checkImageAmount(self, image_dir: str, amount: int, todo_goods_art_no_folder_name_list=None) -> dict:
  94. result = {'code': 0, 'msg': '', 'data': {}}
  95. for goods_art_no_folder in self.list_dir(image_dir):
  96. # 指定内容检查
  97. if todo_goods_art_no_folder_name_list is not None:
  98. if goods_art_no_folder not in todo_goods_art_no_folder_name_list:
  99. continue
  100. if not os.path.isdir("{}/{}".format(image_dir, goods_art_no_folder)):
  101. continue
  102. if "软件" in goods_art_no_folder:
  103. continue
  104. if "无法" in goods_art_no_folder:
  105. continue
  106. if "原始图" not in self.list_dir("{}/{}".format(image_dir, goods_art_no_folder)):
  107. result['data'][goods_art_no_folder] = '文件夹下,没有 原始图 文件夹\n'
  108. continue
  109. # 计算单个文件夹原图数量
  110. images = [x for x in self.list_dir("{}/{}/原始图".format(image_dir, goods_art_no_folder))]
  111. image_num = 0
  112. for pic_file_name in images:
  113. _, e = os.path.splitext(pic_file_name)
  114. if e in _Type:
  115. image_num += 1
  116. # if self.number_pictures != 0:
  117. if image_num > amount:
  118. result['data'][goods_art_no_folder] = '货号图片大于{}张~\n'.format(amount)
  119. if image_num < 2:
  120. result['data'][goods_art_no_folder] = '货号图片小于于2张~\n'
  121. if result['data']:
  122. result['code'] = 1
  123. return result
  124. def check_folders_image_amount(self, all_goods_art_no_folder_data, image_order_list):
  125. print("*****************check_folders_image_amount************************")
  126. amount = len(image_order_list)
  127. # print("图片数量检查===>", amount)
  128. message = ""
  129. for goods_art_no_folder_data in all_goods_art_no_folder_data:
  130. if goods_art_no_folder_data["label"] != "待处理":
  131. continue
  132. folder_path = goods_art_no_folder_data["folder_path"]
  133. folder_name = goods_art_no_folder_data["folder_name"]
  134. images = [x for x in self.list_dir("{}/原始图".format(folder_path))]
  135. image_num = 0
  136. for pic_file_name in images:
  137. _, e = os.path.splitext(pic_file_name)
  138. if e in _Type:
  139. image_num += 1
  140. # print("图片数量判断===>", image_num)
  141. # if image_num > amount:
  142. # goods_art_no_folder_data["label"] = "错误"
  143. # message += '货号{}:图片大于{}张~\n'.format(folder_name, amount)
  144. # if image_num < 2:
  145. # message += '货号{}:图片小于于2张~\n'.format(folder_name)
  146. return all_goods_art_no_folder_data, message
  147. def check_one_folder_image_amount(self, folder_data, amount: int):
  148. print("*****************check_one_folder_image_amount************************")
  149. # 计算单个文件夹原图数量
  150. images = [x for x in self.list_dir("{}/原始图".format(folder_data["folder_path"]))]
  151. image_num = 0
  152. for pic_file_name in images:
  153. _, e = os.path.splitext(pic_file_name)
  154. if e in _Type:
  155. image_num += 1
  156. if image_num > amount:
  157. return False, '货号{}:图片大于{}张~\n'.format(folder_data["folder_name"], amount)
  158. if image_num < 2:
  159. return False, '货号{}:图片小于于2张~\n'.format(folder_data["folder_name"])
  160. return True, ""
  161. # 指定的图片顺序
  162. def getImageOrder(self, image_order: str, resize_image_view: str):
  163. imageOrderList = image_order.replace(",", ",").replace(' ', '').replace('图', '').split(",")
  164. if len(set(imageOrderList)) != len(imageOrderList):
  165. return {'code': 1, 'msg': '图片位置与顺序重复,请检查您的输入'}
  166. for val in imageOrderList:
  167. if val not in ["俯视", "侧视", "后跟", "鞋底", "内里", "组合", "组合2", "组合3", "组合4", "组合5"]:
  168. return {'code': 1, 'msg': '可选项为:俯视,侧视,后跟,鞋底,内里,组合,组合2,组合3,组合4,组合5'}
  169. if resize_image_view not in imageOrderList:
  170. return {'code': 1, 'msg': '缩小的步骤必须是你填写的图片顺序中'}
  171. return {'code': 0, 'msg': 'sucess', 'imageOrderList': imageOrderList}
  172. def shoes_run_one_folder_to_deal(self,
  173. goods_art_no_folder_data,
  174. image_order_list: list,
  175. resize_image_view: str,
  176. logo_path="",
  177. windows=None,
  178. callback_func=None):
  179. """
  180. 操作步骤:
  181. 1、查询每个图片的角度
  182. 2、
  183. """
  184. is_successful = True
  185. folder_path = goods_art_no_folder_data["folder_path"]
  186. folder_name = goods_art_no_folder_data["folder_name"]
  187. all_original_images = self.get_images("{}/原始图".format(folder_path))
  188. self.check_path('{}/800x800'.format(folder_path))
  189. self.crate_all_folders(folder_path)
  190. print("all_original_images====>",all_original_images)
  191. if not all_original_images:
  192. return None
  193. # _ = ["俯视", "侧视", "后跟", "鞋底", "内里"]
  194. for index, image_dict in enumerate(all_original_images):
  195. if index < len(image_order_list):
  196. image_dict["image_view"] = image_order_list[index]
  197. else:
  198. image_dict["image_view"] = '其他{}'.format(len(image_order_list) - index + 1)
  199. # ====================处理所有图片的顺序====================
  200. # ["俯视", "侧视", "后跟", "鞋底", "内里"]
  201. _config = {"俯视": 1,
  202. "侧视": 2,
  203. "后跟": 3,
  204. "鞋底": 4,
  205. "内里": 5, }
  206. r = time.time()
  207. n = 0
  208. _index = 0
  209. # 检查是否有重复的角度
  210. _d_views = []
  211. f = True
  212. for image_dict in all_original_images:
  213. n += 1
  214. _index += 1
  215. image_dict["old_file_name"] = image_dict["file_name"]
  216. image_dict["random_name"] = "{}-{}".format(r, n)
  217. if image_dict["image_view"] in _config:
  218. if image_dict["image_view"] not in _d_views:
  219. _d_views.append(image_dict["image_view"])
  220. else:
  221. callback_func("货号:{} 处理失败".format(folder_name))
  222. # self.show_progress_detail("货号图{} 存在多个{} 角度~".format(goods_art_no_folder, image_dict["image_view"]))
  223. return None
  224. image_dict["index"] = _config[image_dict["image_view"]]
  225. else:
  226. image_dict["index"] = _index
  227. all_original_images.sort(key=lambda x: x["index"])
  228. # ==========直接进行处理=============
  229. i_n = 0
  230. image_index = 0 # 图片顺序
  231. is_image_deal_mode = 0
  232. # 删除目录再新建
  233. if os.path.exists('{}/阴影图处理'.format(folder_path)):
  234. shutil.rmtree('{}/阴影图处理'.format(folder_path))
  235. self.crate_all_folders(folder_path)
  236. print(
  237. "***************all_original_images*********************",
  238. all_original_images,
  239. )
  240. for image_dict in all_original_images:
  241. if windows:
  242. if windows.state != 1:
  243. return None
  244. i_n += 1
  245. image_index += 1
  246. original_image_path = "{}/原始图/{}{}".format(folder_path, image_dict["file_name"], image_dict["e"])
  247. file_name = image_dict["file_name"]
  248. print("正在处理,货号:{}".format(folder_path))
  249. # self.show_progress_detail("正在处理,货号:{}".format(file_name))
  250. # 该文件在800images下没有时,则进行生成新的抠图
  251. # 检查是否存在已抠图文件,如没有再去抠图
  252. original_move_bg_image_path = "{}/原始图_已抠图/{}{}".format(folder_path, image_dict["file_name"], ".png")
  253. print(
  254. f"*****************此处判断鞋子是否为左右脚====>{image_index}<======={is_image_deal_mode}=======>**********************"
  255. )
  256. # 此处判断鞋子是否为左右脚
  257. if image_index == 1:
  258. is_image_deal_mode = 0
  259. print("开始识别左右脚=========>")
  260. if OnePicDeal(self.token).check_shoe_is_right(
  261. image_path=original_move_bg_image_path
  262. ):
  263. is_image_deal_mode = 1 # 1表示要镜像,0表示不做镜像
  264. print(
  265. "*************************进行800image 生成********************************************"
  266. )
  267. """进行800image 生成"""
  268. generate_pic = GeneratePic()
  269. print(
  270. "*************************进行800image 结束====>>>>********************************************"
  271. )
  272. if settings.OUT_PIC_MODE == ".jpg":
  273. out_path = "{}/800x800/{}{}".format(folder_path, file_name, ".jpg")
  274. else:
  275. out_path = "{}/800x800/{}{}".format(folder_path, file_name, ".png")
  276. out_process_path_1 = "{}/阴影图处理/{}_{}_阴影{}".format(folder_path, file_name,
  277. image_dict["image_view"], ".png")
  278. out_process_path_2 = "{}/阴影图处理/{}_{}_抠图{}".format(folder_path, file_name,
  279. image_dict["image_view"], ".png")
  280. resize_mode = 1
  281. max_box = None
  282. print("------------1", image_dict["image_view"], resize_image_view)
  283. if image_dict["image_view"] == resize_image_view:
  284. print(image_dict["image_view"], resize_image_view)
  285. resize_mode = 2
  286. if settings.Mode == "皮具":
  287. max_box = (1000, 1200)
  288. if resize_mode == 2:
  289. print(
  290. "参数打印================》",
  291. is_image_deal_mode,
  292. resize_mode,
  293. settings.OUT_PIC_SIZE,
  294. True if i_n == 1 else False,
  295. max_box
  296. )
  297. print("**********123456********************")
  298. curve_mask = True if "俯视" in image_order_list else False
  299. if not generate_pic.run(
  300. image_path=original_image_path,
  301. cut_image_path=original_move_bg_image_path,
  302. out_path=out_path,
  303. image_deal_mode=is_image_deal_mode,
  304. resize_mode=resize_mode,
  305. out_pic_size=settings.OUT_PIC_SIZE,
  306. is_logo=True if i_n == 1 else False,
  307. out_process_path_1=out_process_path_1,
  308. out_process_path_2=out_process_path_2,
  309. max_box=max_box,
  310. logo_path=logo_path,
  311. curve_mask=curve_mask,
  312. ):
  313. print("**********222222222222222222222222222********************")
  314. is_successful = False
  315. if is_successful:
  316. return True
  317. else:
  318. return False
  319. def to_upload_pic(self, file_path, is_resize=True):
  320. file_name = os.path.split(file_path)[1]
  321. e = os.path.splitext(file_name)[1][1:]
  322. im = Picture(file_path)
  323. if im.x > 500:
  324. im.resize(width=500)
  325. _ = {"jpg": "JPEG",
  326. "JPG": "JPEG",
  327. "JPEG": "JPEG",
  328. "jpeg": "JPEG",
  329. "png": "PNG",
  330. "PNG": "PNG", }
  331. e = _[e]
  332. image_io = im.save_to_io(e)
  333. goods_data = {"file_path": os.path.split(file_path)[1],
  334. "image_io": image_io,
  335. "e": e
  336. }
  337. url = self.data_mode_image_cut.get_online_data.upload_pic(goods_data=goods_data)
  338. return url
  339. def get_images(self, path):
  340. image_list = [] # 过滤非图片数据
  341. for _file in self.list_dir(path):
  342. file_name, e = os.path.splitext(_file)
  343. if e in _Type:
  344. image_list.append({"file_path": "{}/{}".format(path, _file),
  345. "file_name": file_name,
  346. "e": e})
  347. return image_list
  348. def crate_all_folders(self, root_path):
  349. path_list = ["800x800", "原始图_已抠图", "阴影图处理"]
  350. for i in path_list:
  351. path = "{}/{}".format(root_path, i)
  352. self.check_path(path)
  353. def run_cutout_image(self, all_goods_art_no_folder_data, callback_func=None, cutout_mode=1, windows=None):
  354. """
  355. 处理所有的抠图
  356. """
  357. callback_func('开始处理抠图~')
  358. error_goods_art_no_folder = []
  359. for goods_art_no_folder_data in all_goods_art_no_folder_data:
  360. if goods_art_no_folder_data["label"] != "待处理":
  361. continue
  362. folder_path = goods_art_no_folder_data["folder_path"]
  363. self.crate_all_folders(folder_path)
  364. # 检查是否存在已抠图文件,如没有再去抠图
  365. images = [x for x in self.list_dir("{}/原始图".format(folder_path))]
  366. cutImageList = []
  367. for pic_file_name in images:
  368. if windows:
  369. if windows.state != 1:
  370. break
  371. # 根据名称判断,没有抠图过的,进行统计
  372. file_name, suffix = os.path.splitext(pic_file_name)
  373. if suffix in _Type:
  374. original_image_path = "{}/原始图/{}".format(folder_path, pic_file_name)
  375. original_move_bg_image_path = "{}/原始图_已抠图/{}{}".format(folder_path, file_name, ".png")
  376. if not os.path.exists(original_move_bg_image_path):
  377. # 没有抠图文件,进行抠图生成
  378. callback_func("正在抠图 货号:{}".format(file_name))
  379. if cutout_mode == '2':
  380. cutImageList.append({
  381. "file_name": file_name, # 文件名
  382. "file_e": suffix, # 后缀,.jpg
  383. "file_path": original_image_path, # 完整路径
  384. "file": '{}{}'.format(file_name, suffix), # 图片文件名,带后缀
  385. "need_cutout": True, # 必须,需要抠图
  386. "out_path": original_move_bg_image_path
  387. })
  388. else:
  389. remove_pic_ins = RemoveBgALi()
  390. if settings.IS_TEST:
  391. im = remove_pic_ins.get_image_cut(file_path=original_image_path,
  392. out_file_path=original_move_bg_image_path)
  393. else:
  394. try:
  395. im = remove_pic_ins.get_image_cut(file_path=original_image_path,
  396. out_file_path=original_move_bg_image_path)
  397. except FunctionTimedOut as f:
  398. callback_func("货号图{} 抠图处理超时~".format(file_name))
  399. im = None
  400. except BaseException as e:
  401. callback_func("货号图{} 抠图处理失败,原因{}".format(file_name, e))
  402. im = None
  403. if not im:
  404. callback_func("货号图{} 抠图处理失败~".format(file_name))
  405. continue
  406. else:
  407. callback_func("货号图{} 抠图完成~".format(file_name))
  408. if cutout_mode == '2':
  409. dealCutout = DealCutout(windows=None)
  410. dealCutout.need_cutout_images = cutImageList
  411. dealCutout.run()
  412. while True:
  413. time.sleep(1)
  414. if windows:
  415. if windows.state != 1:
  416. break
  417. if dealCutout.state == 3:
  418. if len(dealCutout.resultData) != len(cutImageList):
  419. error_goods_art_no_folder.append(folder_path)
  420. break
  421. if error_goods_art_no_folder:
  422. print("以下货号抠图失败~\n {}".format(error_goods_art_no_folder))
  423. callback_func("以下货号抠图失败~\n {}".format(error_goods_art_no_folder))
  424. else:
  425. callback_func("完成抠图处理")
  426. def checkCutoutImage(self, image_dir: str, todo_goods_art_no_folder_name_list=None):
  427. """
  428. 进行图片检查,不合规的直接提示
  429. """
  430. error_goods_art_no_folder = []
  431. self.check_path("{}/软件-处理失败".format(image_dir))
  432. for goods_art_no_folder in self.list_dir(image_dir):
  433. # 指定内容检查
  434. if todo_goods_art_no_folder_name_list is not None:
  435. if goods_art_no_folder not in todo_goods_art_no_folder_name_list:
  436. continue
  437. if not os.path.isdir("{}/{}".format(image_dir, goods_art_no_folder)):
  438. continue
  439. if "软件" in goods_art_no_folder:
  440. continue
  441. if "无法" in goods_art_no_folder:
  442. continue
  443. if "原始图" not in self.list_dir("{}/{}".format(image_dir, goods_art_no_folder)):
  444. error_goods_art_no_folder.append(goods_art_no_folder)
  445. continue
  446. self.check_path("{}/{}/原始图_已抠图".format(image_dir, goods_art_no_folder))
  447. self.check_path("{}/{}/800x800".format(image_dir, goods_art_no_folder))
  448. self.check_path("{}/{}/阴影图处理".format(image_dir, goods_art_no_folder))
  449. if error_goods_art_no_folder:
  450. self.move_folders(path_list=["{}/{}".format(self.image_dir, x) for x in error_goods_art_no_folder],
  451. target_folder="{}/软件-处理失败".format(self.image_dir))
  452. return False
  453. def move_folders(self, path_list, target_folder):
  454. for source_folder in path_list:
  455. shutil.move(source_folder, target_folder)
  456. def rename_folder_for_hqt(self, all_goods_art_no_folder_data):
  457. """
  458. 步骤:
  459. 规整红蜻蜓的文件名
  460. 重新按文件名进行命名
  461. """
  462. goods_art_no_list = []
  463. for goods_art_no_folder_data in all_goods_art_no_folder_data:
  464. if "@" not in goods_art_no_folder_data["folder_name"]:
  465. goods_art_no_folder_data["label"] = "待处理"
  466. goods_art_no_list.append(goods_art_no_folder_data["folder_name"])
  467. else:
  468. goods_art_no_folder_data["label"] = "不处理"
  469. if goods_art_no_list:
  470. # goods_art_no_dict 文件夹与货号的字典
  471. goods_art_no_dict = self.get_data_from_hqt_with_goods_art_no(
  472. goods_art_no_list=goods_art_no_list)
  473. for goods_art_no_folder_data in all_goods_art_no_folder_data:
  474. if goods_art_no_folder_data["label"] != "待处理":
  475. continue
  476. goods_art_no_folder = goods_art_no_folder_data["folder_name"]
  477. if goods_art_no_folder in goods_art_no_dict:
  478. print(goods_art_no_folder)
  479. old_folder_path = goods_art_no_folder_data["folder_path"]
  480. new_folder_name = "{}@NUM{}".format(goods_art_no_folder,
  481. goods_art_no_dict[goods_art_no_folder]["编号"])
  482. new_folder_path = "{}/{}".format(goods_art_no_folder_data["root_path"], new_folder_name)
  483. try:
  484. os.rename(old_folder_path, new_folder_path)
  485. goods_art_no_folder_data["folder_path"] = new_folder_path
  486. goods_art_no_folder_data["folder_name"] = new_folder_path
  487. goods_art_no_folder_data["label"] = "待处理"
  488. except BaseException as e:
  489. goods_art_no_folder_data["label"] = "不处理"
  490. print("521 文件夹重名命失败:{}".format(e))
  491. # 重新规整修改图片名称
  492. for goods_art_no_folder_data in all_goods_art_no_folder_data:
  493. if goods_art_no_folder_data["label"] != "待处理":
  494. continue
  495. goods_art_no_folder = goods_art_no_folder_data["folder_name"]
  496. _img_all = self.list_dir("{}/原始图".format(goods_art_no_folder_data["folder_path"]))
  497. index = 0
  498. for _file in _img_all:
  499. file_name, suffix = os.path.splitext(_file)
  500. if suffix in _Type:
  501. index += 1
  502. folder_path = goods_art_no_folder_data["folder_path"]
  503. new_file_name = "{}({}){}".format(goods_art_no_folder, index, suffix)
  504. new_path = "{}/原始图/{}".format(folder_path, new_file_name)
  505. old_path = "{}/原始图/{}".format(folder_path, _file)
  506. crop_new_path = "{}/原始图_已抠图/{}".format(folder_path, "{}({}).png".format(goods_art_no_folder, index))
  507. crop_old_path = "{}/原始图_已抠图/{}".format(folder_path, "{}.png".format(file_name))
  508. if old_path != new_path:
  509. # 存在货号命名错误的,进行修正
  510. try:
  511. if os.path.exists(old_path):
  512. os.rename(old_path, new_path)
  513. if os.path.exists(crop_old_path):
  514. os.rename(crop_old_path, crop_new_path)
  515. except BaseException as e:
  516. goods_art_no_folder_data["label"] = "不处理"
  517. print("550 文件夹重名命失败:{}".format(e))
  518. def cutImagePiju(self, image_dir: str, image_order='', is_check_number=True, is_filter=True, resize_image_view='后跟',
  519. callback_func=None, event=None, todo_goods_art_no_folder_name_list=None):
  520. """
  521. 1、遍历文件夹,基于生成的结果图看哪些需要进行抠图等处理
  522. 2、压缩并上传平台获取抠图
  523. 3、抠图处理成白底图
  524. 4、做成800*800/200*200
  525. :return:
  526. """
  527. logo_path = ""
  528. res = self.getImageOrder(image_order=image_order, resize_image_view=resize_image_view)
  529. if res['code'] != 0:
  530. callback_func(res['msg'])
  531. return {'code': 1, 'msg': res['msg']}
  532. imageOrderList = res['imageOrderList']
  533. """扫描文档,检查有哪些需要进行抠图等处理"""
  534. self.lock = Lock()
  535. to_do_images_total = 0
  536. error_goods_art_no_folder = []
  537. for goods_art_no_folder in self.list_dir(image_dir):
  538. # 指定内容检查
  539. if todo_goods_art_no_folder_name_list is not None:
  540. if goods_art_no_folder not in todo_goods_art_no_folder_name_list:
  541. continue
  542. if not os.path.isdir("{}/{}".format(image_dir, goods_art_no_folder)):
  543. continue
  544. self.check_path("{}/{}/原始图".format(image_dir, goods_art_no_folder))
  545. self.check_path("{}/{}/原始图_已抠图".format(image_dir, goods_art_no_folder))
  546. self.check_path("{}/{}/800x800".format(image_dir, goods_art_no_folder))
  547. self.check_path("{}/{}/阴影图处理".format(image_dir, goods_art_no_folder))
  548. # 遍历原始图片文件夹
  549. all_original_images = [x for x in
  550. self.list_dir(
  551. "{}/{}/原始图".format(image_dir, goods_art_no_folder))]
  552. # 检查已抠图文件夹
  553. all_moved_images = [os.path.splitext(x)[0] for x in
  554. self.list_dir(
  555. "{}/{}/原始图_已抠图".format(image_dir, goods_art_no_folder))]
  556. all_800images = [os.path.splitext(x)[0] for x in
  557. self.list_dir(
  558. "{}/{}/800x800".format(image_dir, goods_art_no_folder))]
  559. if is_check_number and len(imageOrderList) != len(all_original_images):
  560. callback_func("{} 文件夹下图片数量与订单数量不一致,请检查!".format(goods_art_no_folder))
  561. return {'code': 1, 'msg': '{} 文件夹下图片数量与订单数量不一致,请检查!'.format(goods_art_no_folder)}
  562. all_800images = []
  563. image_num = 0
  564. for pic_file_name in all_original_images:
  565. if pic_file_name not in all_800images:
  566. # 根据名称判断,没有抠图过的,进行统计
  567. _, e = os.path.splitext(pic_file_name)
  568. print(e)
  569. if e in _Type:
  570. image_num += 1
  571. print("----------》", goods_art_no_folder, pic_file_name)
  572. to_do_images_total += 1
  573. # if image_num > 5:
  574. # error_goods_art_no_folder.append(goods_art_no_folder)
  575. # if error_goods_art_no_folder:
  576. # self.show_progress_detail("以下货号图片张数超过5张~\n {}".format(error_goods_art_no_folder))
  577. # self.set_state(state_value=2)
  578. # return
  579. if to_do_images_total > 0:
  580. # self.progress_sign.emit({"type": "处理图片 抠图、加工等", "progress_bar_value": 0})
  581. for goods_art_no_folder in self.list_dir(image_dir):
  582. # 指定内容检查
  583. if todo_goods_art_no_folder_name_list is not None:
  584. if goods_art_no_folder not in todo_goods_art_no_folder_name_list:
  585. continue
  586. if not os.path.isdir('{}/{}'.format(image_dir, goods_art_no_folder)):
  587. continue
  588. self.run_one_folder_to_deal(goods_art_no_folder=goods_art_no_folder,
  589. image_dir=image_dir,
  590. image_order=image_order,
  591. resize_image_view=resize_image_view,
  592. callback_func=callback_func,
  593. logo_path=logo_path,
  594. )
  595. else:
  596. # self.show_progress_detail("没有需要处理的图片~")
  597. callback_func('没有需要处理的图片~')
  598. # self.set_state(state_value=2)
  599. return {'code': 0, 'msg': 'ok'}
  600. def run_one_folder_to_deal(self, goods_art_no_folder, image_dir, image_order, resize_image_view,
  601. callback_func=None, logo_path=""):
  602. _img_all = self.list_dir("{}/{}/原始图".format(image_dir, goods_art_no_folder))
  603. all_original_images = [] # 过滤非图片数据
  604. index = 0
  605. for _file in _img_all:
  606. file_name, e = os.path.splitext(_file)
  607. if e in _Type:
  608. index += 1
  609. new_file_name = "{}({}){}".format(goods_art_no_folder, index, e)
  610. new_path = "{}/{}/原始图/{}".format(image_dir, goods_art_no_folder, new_file_name)
  611. old_path = "{}/{}/原始图/{}".format(image_dir, goods_art_no_folder, _file)
  612. if old_path != new_path:
  613. # 存在货号命名错误的,进行修正
  614. try:
  615. os.rename(old_path, new_path)
  616. except:
  617. pass
  618. all_original_images.append(new_file_name)
  619. if os.path.exists("{}/{}/原始图/镜像.txt".format(image_dir, goods_art_no_folder)):
  620. file_mirror_mark = True
  621. else:
  622. file_mirror_mark = None
  623. # if goods_art_no_folder == "AC51016112":
  624. # print(file_mirror_mark)
  625. # raise 111
  626. all_moved_images = [os.path.splitext(x)[0] for x in
  627. self.list_dir("{}/{}/原始图_已抠图".format(image_dir, goods_art_no_folder))]
  628. all_800images = [os.path.splitext(x)[0] for x in
  629. self.list_dir(
  630. "{}/{}/800x800".format(image_dir, goods_art_no_folder))]
  631. all_800images = []
  632. # 检查哪些图片没有做过抠图处理
  633. i_n = 0
  634. _name_list = ["视角{}".format(x) for x in range(1, len(all_original_images) + 1)]
  635. # if goods_art_no_folder == "AC51028001":
  636. # _name_list = ["正视", "45度", "侧视", "后视", "底视", "其他1", "其他2", "其他3"]
  637. image_index = 0 # 图片顺序
  638. is_image_deal_mode = 0
  639. max_box = None
  640. for file in all_original_images:
  641. i_n += 1
  642. image_index += 1
  643. original_image_path = "{}/{}/原始图/{}".format(image_dir, goods_art_no_folder, file)
  644. file_name = os.path.splitext(file)[0]
  645. """
  646. 当第三张就是为后跟
  647. """
  648. if file_name not in all_800images: # 所有都重新生成
  649. # if goods_art_no_folder != "AC51016112":
  650. # continue
  651. goods_art_no_folder_path = "{}/{}".format(image_dir, goods_art_no_folder)
  652. print("正在处理,货号:{}".format(goods_art_no_folder_path))
  653. # self.show_progress_detail("正在处理,货号:{}".format(file_name))
  654. callback_func("正在处理,货号:{}".format(file_name))
  655. # 该文件在800images下没有时,则进行生成新的抠图
  656. # 检查是否存在已抠图文件,如没有再去抠图
  657. original_move_bg_image_path = "{}/原始图_已抠图/{}{}".format(goods_art_no_folder_path, file_name,
  658. ".png")
  659. image_deal_mode = 0 # 默认图片不做镜像处理
  660. if not os.path.exists(original_move_bg_image_path):
  661. # 没有抠图文件,进行抠图生成
  662. # self.show_progress_detail("正在抠图 货号:{}".format(file_name))
  663. callback_func("正在抠图 货号:{}".format(file_name))
  664. remove_pic_ins = RemoveBgALi()
  665. im = remove_pic_ins.get_image_cut(file_path=original_image_path,
  666. out_file_path=original_move_bg_image_path)
  667. if not im:
  668. # self.show_progress_detail("货号图{} 抠图处理失败~".format(file_name))
  669. callback_func("货号图{} 抠图处理失败~".format(file_name))
  670. continue
  671. if image_index == 1:
  672. is_image_deal_mode = 0
  673. if settings.Mode == "鞋类":
  674. goods_class = "鞋"
  675. # 如果图片已存在,则需要通过加载图片判断是否为左右脚
  676. if OnePicDeal().check_shoe_is_right(image_path=original_move_bg_image_path):
  677. image_deal_mode = 1 # 1表示要镜像,0表示不做镜像
  678. is_image_deal_mode = 1
  679. if settings.Mode == "皮具":
  680. # 图片对应的商品类型
  681. # goods_class = self.get_goods_class(goods_art_no_folder, original_image_path)
  682. max_box = (1000, 1200)
  683. # _ = {"AC51028001": "女包",
  684. # "AC51028002": "男包",
  685. # "AC51028003": "皮带",
  686. # "AC51028004": "女包"}
  687. # if goods_class in _:
  688. # goods_class = _[goods_class]
  689. # else:
  690. # goods_class = "女包"
  691. #
  692. # _ = {"女包": (1000, 1200),
  693. # "男包": (1000, 1200),
  694. # "皮带": (1000, 1000), }
  695. # max_box = _[goods_class]
  696. # 获取图片信息非必要程序,用于处理图片模式
  697. date_time_original = self.get_date_time_original(original_image_path) # 获取照片拍照时间
  698. if date_time_original:
  699. # 基于照片的时间,与数据库匹配goods_art_no
  700. self.lock.acquire()
  701. _data = self.dataModeMatchPhoto.get_goods_art_no(date_time_original)
  702. self.lock.release()
  703. if _data:
  704. # 能匹配上数据库
  705. goods_art_no, _image_index, _image_deal_mode = _data
  706. if _image_index < 10:
  707. image_index = _image_index
  708. if _image_deal_mode == 1:
  709. image_deal_mode = 1
  710. # print(goods_art_no, image_index, image_deal_mode)
  711. if file_mirror_mark:
  712. image_deal_mode = 1
  713. """进行800image 生成"""
  714. generate_pic = GeneratePic()
  715. if settings.OUT_PIC_MODE == ".jpg":
  716. out_path = "{}/800x800/{}{}".format(goods_art_no_folder_path, file_name, ".jpg")
  717. else:
  718. out_path = "{}/800x800/{}{}".format(goods_art_no_folder_path, file_name, ".png")
  719. out_process_path_1 = "{}/阴影图处理/{}_{}_阴影{}".format(goods_art_no_folder_path, file_name,
  720. _name_list[i_n - 1], ".png")
  721. out_process_path_2 = "{}/阴影图处理/{}_{}_抠图{}".format(goods_art_no_folder_path, file_name,
  722. _name_list[i_n - 1], ".png")
  723. print("image_index", image_index)
  724. image_index = 99
  725. curve_mask = True if "俯视" in image_order["image_view"] else False
  726. if generate_pic.run(image_path=original_image_path,
  727. cut_image_path=original_move_bg_image_path,
  728. out_path=out_path,
  729. image_deal_mode=is_image_deal_mode,
  730. image_index=image_index,
  731. out_pic_size=settings.OUT_PIC_SIZE,
  732. is_logo=True if i_n == 1 else False,
  733. out_process_path_1=out_process_path_1,
  734. out_process_path_2=out_process_path_2,
  735. max_box=max_box,
  736. logo_path=logo_path,
  737. curve_mask=curve_mask
  738. ):
  739. # self.show_progress_detail("货号图{} _{} 已完成800*800图片制作~".format(image_index, file_name))
  740. callback_func("货号图{} _{} 已完成800*800图片制作~".format(image_index, file_name))
  741. else:
  742. # self.show_progress_detail("货号图{} _{} 图片生成处理失败~".format(image_index, file_name))
  743. callback_func("货号图{} _{} 图片生成处理失败~".format(image_index, file_name))
  744. # 完成处理的图片进度
  745. self.lock.acquire()
  746. # self.set_progress()
  747. self.lock.release()
  748. def get_goods_art_no(self, date_time_original):
  749. time_array = time.strptime(date_time_original, "%Y:%m:%d %H:%M:%S")
  750. time_array = time.mktime(time_array)
  751. datetime_obj = datetime.fromtimestamp(time_array)
  752. session = SqlQuery()
  753. configModel = CRUD(DeviceConfig)
  754. result = configModel.read(
  755. session, conditions={"photo_create_time": datetime_obj}, order_by="id", ascending=True
  756. )
  757. if result:
  758. return result.goods_art_no, result.image_index, result.image_deal_mode
  759. else:
  760. return None
  761. def get_goods_art_no_info(self, numbers_list=None, goods_art_list=None, headers=None):
  762. # 获取商品基础信息,入参为商品的编号
  763. url = "{domain}/api/backend/goods_client/goods_query".format(
  764. domain=settings.APP_HOST
  765. )
  766. data = {
  767. 'goods_art_list': goods_art_list
  768. }
  769. data = json.dumps(data)
  770. _s = requests.session().post(url=url, data=data, headers=headers)
  771. response_data = _s.json()
  772. goods_number_data = {}
  773. # ["", "", "", "", "", "", "", "", "", "", "", ]
  774. if "data" not in response_data:
  775. return {}
  776. for data in response_data["data"]:
  777. goods_number_data[data["goods_art_no"]] = {}
  778. goods_number_data[data["goods_art_no"]]["商品货号"] = data["goods_art_no"].upper()
  779. goods_number_data[data["goods_art_no"]]["款号"] = data["goods_number"].upper()
  780. goods_number_data[data["goods_art_no"]]["商品面料"] = data["fabric"]
  781. goods_number_data[data["goods_art_no"]]["商品内里"] = data["lining"]
  782. goods_number_data[data["goods_art_no"]]["商品鞋底"] = data["sole"]
  783. goods_number_data[data["goods_art_no"]]["鞋垫"] = data["insole"]
  784. goods_number_data[data["goods_art_no"]]["颜色名称"] = data["color"]
  785. return goods_number_data
  786. def get_data_from_hqt_with_goods_art_no(self, goods_art_no_list):
  787. _goods_art_no_list = copy.deepcopy(goods_art_no_list)
  788. _list = []
  789. # 单次请求数少于20个
  790. goods_art_no_dict = {}
  791. while _goods_art_no_list:
  792. goods_art_no = _goods_art_no_list.pop()
  793. _list.append(goods_art_no)
  794. if len(_list) == 20 or len(_goods_art_no_list) == 0:
  795. online_goods_art_data = self.get_goods_art_no_info(
  796. goods_art_list=_list
  797. )
  798. if online_goods_art_data:
  799. for _goods_art_no in online_goods_art_data:
  800. goods_art_no_dict[_goods_art_no] = online_goods_art_data[
  801. _goods_art_no
  802. ]
  803. _list = []
  804. return goods_art_no_dict
  805. def get_goods_art_no_info(self, numbers_list=None, goods_art_list=None, headers=None):
  806. # 获取商品基础信息,入参为商品的编号
  807. url = "{domain}/api/backend/goods_client/goods_query".format(
  808. domain=settings.APP_HOST
  809. )
  810. data = {
  811. 'goods_art_list': goods_art_list
  812. }
  813. data = json.dumps(data)
  814. _s = requests.session().post(url=url, data=data, headers=headers)
  815. # _s = self.s.get(url=url, params=params, headers=settings.Headers)
  816. response_data = _s.json()
  817. goods_number_data = {}
  818. # ["", "", "", "", "", "", "", "", "", "", "", ]
  819. if "data" not in response_data:
  820. return {}
  821. for data in response_data["data"]:
  822. goods_number_data[data["goods_art_no"]] = {}
  823. goods_number_data[data["goods_art_no"]]["商品货号"] = data["goods_art_no"].upper()
  824. goods_number_data[data["goods_art_no"]]["款号"] = data["goods_number"].upper()
  825. goods_number_data[data["goods_art_no"]]["商品面料"] = data["fabric"]
  826. goods_number_data[data["goods_art_no"]]["商品内里"] = data["lining"]
  827. goods_number_data[data["goods_art_no"]]["商品鞋底"] = data["sole"]
  828. goods_number_data[data["goods_art_no"]]["鞋垫"] = data["insole"]
  829. goods_number_data[data["goods_art_no"]]["颜色名称"] = data["color"]
  830. return goods_number_data
  831. def get_data_from_hqt(self, goods_number_list):
  832. _goods_number_list = copy.deepcopy(goods_number_list)
  833. _list = []
  834. # 单次请求数少于20个
  835. goods_number_dict = {}
  836. while _goods_number_list:
  837. goods_art_no = _goods_number_list.pop()
  838. if "NUM" in goods_art_no:
  839. goods_art_no = goods_art_no.replace("NUM", "")
  840. _list.append(goods_art_no)
  841. if len(_list) == 20 or len(_goods_number_list) == 0:
  842. online_goods_art_data = self.get_goods_art_no_info(
  843. numbers_list=_list
  844. )
  845. if online_goods_art_data:
  846. for number in online_goods_art_data:
  847. goods_number_dict["NUM" + number] = online_goods_art_data[
  848. number
  849. ]
  850. _list = []
  851. return goods_number_dict
  852. def dealMoveImage(self, image_dir: str, callback_func=None) -> dict:
  853. if not self.check_path(image_dir=image_dir + "/历史"):
  854. return {'code': 1, 'msg': '文件夹创建失败', 'data': {}}
  855. # 遍历目标文件夹,获取有拍摄信息的图片,并按拍摄时间排序
  856. files = self.list_dir(image_dir)
  857. original_photo_list = [] # 原始图片列表
  858. for file in files:
  859. # -----图片清洗
  860. file_path = image_dir + "/" + file
  861. if os.path.isdir(file_path): # 忽略文件夹
  862. continue
  863. file_name, suffix = os.path.splitext(file)
  864. if suffix not in _Type: # 非图片进行移除
  865. shutil.move(file_path, image_dir + "/历史/" + file)
  866. continue
  867. date_time_original = self.get_date_time_original(file_path) # 获取照片拍照时间
  868. if date_time_original:
  869. # 基于照片的时间,与数据库匹配goods_art_no
  870. _data = self.get_goods_art_no(date_time_original)
  871. if _data:
  872. # 能匹配上数据库
  873. goods_art_no, image_index, image_deal_mode = _data
  874. print("832 与数据库匹配goods_art_no", file_name, date_time_original, goods_art_no)
  875. original_photo_list.append({"file_path": file_path,
  876. "file": file,
  877. "date_time_original": date_time_original,
  878. "goods_art_no": goods_art_no,
  879. "image_index": image_index,
  880. "real_goods_art_no": "",
  881. "real_goods_number": "",
  882. })
  883. else:
  884. # 匹配不上报错
  885. # self.show_progress_detail("图片:{} 无法对应货号,不做处理".format(file))
  886. if callback_func:
  887. callback_func("图片:{} 无对应货号".format(file))
  888. # shutil.move(photo_dict["file_path"], self.image_dir + "/历史/" + photo_dict["file"])
  889. continue
  890. else:
  891. shutil.move(file_path, image_dir + "/历史/" + file)
  892. if not original_photo_list:
  893. return {"code": 1, "msg": "没有任何匹配的图片", 'data': {}}
  894. if settings.PROJECT == "红蜻蜓":
  895. # 批量请求货号图信息
  896. goods_art_no_list = [x["goods_art_no"] for x in original_photo_list]
  897. goods_art_no_list = list(set(goods_art_no_list))
  898. goods_art_no_list = [x for x in goods_art_no_list if "NUM" not in x]
  899. if goods_art_no_list:
  900. goods_art_no_dict = self.get_data_from_hqt_with_goods_art_no(
  901. goods_art_no_list=goods_art_no_list)
  902. for i in original_photo_list:
  903. if i["goods_art_no"] in goods_art_no_dict:
  904. i["real_goods_art_no"] = i["goods_art_no"]
  905. i["real_goods_number"] = "NUM{}".format(goods_art_no_dict[i["goods_art_no"]]["编号"])
  906. # 批量请求编号对应信息
  907. goods_number_list = [x["goods_art_no"] for x in original_photo_list]
  908. goods_number_list = list(set(goods_number_list))
  909. goods_number_list = [x for x in goods_number_list if "NUM" in x]
  910. if goods_number_list:
  911. goods_number_dict = self.get_data_from_hqt(goods_number_list=goods_number_list)
  912. for i in original_photo_list:
  913. if i["goods_art_no"] in goods_number_dict:
  914. i["real_goods_number"] = i["goods_art_no"]
  915. i["real_goods_art_no"] = goods_number_dict[i["goods_art_no"]]["商品货号"]
  916. # 排序需要基于拍照的文件序号进行处理
  917. original_photo_list.sort(
  918. key=lambda x: "{}-{}-{}".format(x["goods_art_no"], x["image_index"], x["file"]))
  919. # print(original_photo_list)
  920. # 对有拍摄信息的图片进行数据库比对,如有比对上,则移动至货号文件夹,否则移入历史文件夹
  921. total_num = len(original_photo_list)
  922. # 当天日期作为文件夹
  923. seconds = time.time()
  924. output_path = "output/{f_name}".format(f_name=time.strftime("%Y-%m-%d", time.localtime(seconds)))
  925. # 遍历每个匹配好的数据进行处理
  926. n = 0
  927. for photo_dict in original_photo_list:
  928. n += 1
  929. # 进度条
  930. goods_art_no = photo_dict["goods_art_no"]
  931. original_image_path = photo_dict["file_path"]
  932. # 输出货号文件夹
  933. if photo_dict["real_goods_art_no"]:
  934. goods_art_no = "{}@{}".format(photo_dict["real_goods_art_no"], photo_dict["real_goods_number"])
  935. goods_art_no_path = "{output_path}/{goods_art_no}".format(output_path=output_path,
  936. goods_art_no=goods_art_no)
  937. # 创建货号下的一系列文件夹
  938. self.create_folder(goods_art_no_path)
  939. # 重命名并进行移动
  940. print("开始移动:{} {} 命名为:{}".format(goods_art_no, original_image_path, goods_art_no_path))
  941. self.move_images(goods_art_no, goods_art_no_path, original_image_path) # 货号、货号文件路径、原始图路径
  942. time.sleep(0.2)
  943. # self.progress_sign.emit({"type": "移动原始图片", "progress_bar_value": int(n / total_num * 100)})
  944. # self.show_progress_detail("货号{} 相关文件夹创建完成,已移动原图~".format(goods_art_no))
  945. if callback_func:
  946. callback_func("货号{} 相关文件夹创建完成,已移动原图~".format(goods_art_no))
  947. print("已完成移动处理")
  948. if n != 0:
  949. # if settings.MattingPics:
  950. # # 检查所有未处理的货号文件夹,查看是否有完成图片加工处理
  951. # self.deal_images()
  952. # 自动生成一个货号表
  953. print("output_path", output_path)
  954. GenerateGoodsArtNoTable.deal(output_path)
  955. # 完成处理
  956. # self.set_state(state_value=2)
  957. return {'code': 0, 'msg': '处理完成', 'target_path': output_path, 'data': {}}
  958. def check_path(self, image_dir: str):
  959. if not os.path.exists(image_dir):
  960. os.mkdir(image_dir)
  961. return True
  962. def get_date_time_original(self, file_path):
  963. with open(file_path, 'rb') as file_data:
  964. tags = exifread.process_file(file_data)
  965. if "EXIF DateTimeOriginal" in tags:
  966. return str(tags["EXIF DateTimeOriginal"])
  967. else:
  968. return False
  969. def create_folder(self, path):
  970. def check_folder(__path):
  971. if not os.path.exists(__path):
  972. os.makedirs(__path)
  973. return False
  974. return True
  975. # 文件夹不存在,创建货号子集文件夹
  976. if not check_folder(path):
  977. for name in ["原始图", "原始图_已抠图", "800x800", "200images"]:
  978. other_path = path + "/" + name
  979. check_folder(other_path)
  980. def move_images(self, goods_art_no, goods_art_no_path, old_image_path):
  981. """
  982. 步骤:
  983. 1、移动到原始图
  984. Args:
  985. goods_art_no:
  986. goods_art_no_path:
  987. old_image_path:
  988. Returns:
  989. """
  990. # 移动到原始图
  991. file = os.path.split(old_image_path)[1]
  992. # 扩展名
  993. e = os.path.splitext(file)[1]
  994. # 获取图片序列
  995. self.goods_images_count_dict[goods_art_no] += 1
  996. # A9999(1).jpg
  997. new_file_name = "{}({})".format(goods_art_no, self.goods_images_count_dict[goods_art_no])
  998. original_image_path = "{}/原始图/{}{}".format(goods_art_no_path, new_file_name, e)
  999. # 移动图片
  1000. shutil.move(old_image_path, original_image_path)
  1001. def pixianRemoveImageBg(self, file_path: str, out_file_path: str, callbackek_func=None):
  1002. url = self.dataModeMatchPhoto.get_online_data.uploadImage(local_path=file_path)
  1003. remonveUrl = settings.DOMAIN + '/api/ai_image/main/remove_background'
  1004. param = {'base_image': url}
  1005. post_headers = {"Authorization": self.token,
  1006. "Content-Length": "",
  1007. "Content-Type": "application/json",
  1008. "Accept": "application/json"}
  1009. result = requests.post(remonveUrl, data=json.dumps(param), headers=post_headers).json()
  1010. print(result)
  1011. if "code" in result and result['code'] == 0:
  1012. response = requests.get(result['data']['image'][0])
  1013. with open(out_file_path, 'wb') as file:
  1014. file.write(response.content)
  1015. return result['data']['image'][0]
  1016. else:
  1017. callbackek_func("精细化抠图处理失败 {}".format(result['message']))
  1018. return ''
  1019. def list_dir(self, path):
  1020. listdir = os.listdir(path)
  1021. return natsorted(listdir, alg=ns.PATH)