update pdf to img
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223 additions
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682 deletions
... | @@ -5,16 +5,12 @@ import signal | ... | @@ -5,16 +5,12 @@ import signal |
5 | import base64 | 5 | import base64 |
6 | import asyncio | 6 | import asyncio |
7 | import aiohttp | 7 | import aiohttp |
8 | import locale | ||
9 | from PIL import Image | ||
10 | from io import BytesIO | ||
11 | from openpyxl import Workbook | 8 | from openpyxl import Workbook |
12 | from openpyxl.styles import numbers | ||
13 | from openpyxl.utils import get_column_letter | ||
14 | |||
15 | from django.core.management import BaseCommand | 9 | from django.core.management import BaseCommand |
10 | |||
16 | from common.mixins import LoggerMixin | 11 | from common.mixins import LoggerMixin |
17 | from common.tools.file_tools import write_zip_file | 12 | from common.tools.file_tools import write_zip_file |
13 | from common.tools.pdf_to_img import PDFHandler | ||
18 | from apps.doc.models import DocStatus, HILDoc, AFCDoc | 14 | from apps.doc.models import DocStatus, HILDoc, AFCDoc |
19 | from apps.doc import consts | 15 | from apps.doc import consts |
20 | from settings import conf | 16 | from settings import conf |
... | @@ -123,126 +119,6 @@ class Command(BaseCommand, LoggerMixin): | ... | @@ -123,126 +119,6 @@ class Command(BaseCommand, LoggerMixin): |
123 | img_name = os.path.basename(img_path) | 119 | img_name = os.path.basename(img_path) |
124 | self.append_sheet(wb, sheets_list, img_name) | 120 | self.append_sheet(wb, sheets_list, img_name) |
125 | 121 | ||
126 | def proof(self, ws): | ||
127 | # 找到金额、余额列 | ||
128 | amount_col = overage_col = None | ||
129 | for i in ws[1]: | ||
130 | if i.value in consts.AMOUNT_COL_TITLE_SET: | ||
131 | amount_col = i.column | ||
132 | amount_col_letter = get_column_letter(amount_col) | ||
133 | elif i.value in consts.OVERAGE_COL_TITLE_SET: | ||
134 | overage_col = i.column | ||
135 | overage_col_letter = get_column_letter(overage_col) | ||
136 | if amount_col is None or overage_col is None: | ||
137 | return | ||
138 | # 文本转数值 | ||
139 | for col_tuple in ws.iter_cols(min_row=2, min_col=amount_col, max_col=overage_col): | ||
140 | for c in col_tuple: | ||
141 | try: | ||
142 | c.value = locale.atof(c.value) | ||
143 | c.number_format = numbers.FORMAT_NUMBER_00 | ||
144 | except Exception: | ||
145 | continue | ||
146 | # 增加核对结果列 | ||
147 | proof_col_letter = get_column_letter(ws.max_column + 1) | ||
148 | for c in ws[proof_col_letter]: | ||
149 | if c.row == 1: | ||
150 | c.value = consts.PROOF_COL_TITLE | ||
151 | elif c.row == 2: | ||
152 | continue | ||
153 | else: | ||
154 | c.value = '=IF({3}{0}=SUM({2}{0},{3}{1}), "{4}", "{5}")'.format( | ||
155 | c.row, c.row - 1, amount_col_letter, overage_col_letter, *consts.PROOF_RES) | ||
156 | |||
157 | def wb_process(self, wb, excel_path): | ||
158 | locale.setlocale(locale.LC_NUMERIC, 'en_US.UTF-8') | ||
159 | for ws in wb.worksheets: | ||
160 | if ws.title == 'Sheet': | ||
161 | ws.title = consts.META_SHEET_TITLE | ||
162 | else: | ||
163 | self.proof(ws) | ||
164 | wb.save(excel_path) # TODO no sheet (res always []) | ||
165 | |||
166 | @staticmethod | ||
167 | def getimage(pix): | ||
168 | if pix.colorspace.n != 4: | ||
169 | return pix | ||
170 | tpix = fitz.Pixmap(fitz.csRGB, pix) | ||
171 | return tpix | ||
172 | |||
173 | def recoverpix(self, doc, item): | ||
174 | x = item[0] # xref of PDF image | ||
175 | s = item[1] # xref of its /SMask | ||
176 | is_rgb = True if item[5] == 'DeviceRGB' else False | ||
177 | |||
178 | # RGB | ||
179 | if is_rgb: | ||
180 | if s == 0: | ||
181 | return doc.extractImage(x) | ||
182 | # we need to reconstruct the alpha channel with the smask | ||
183 | pix1 = fitz.Pixmap(doc, x) | ||
184 | pix2 = fitz.Pixmap(doc, s) # create pixmap of the /SMask entry | ||
185 | |||
186 | # sanity check | ||
187 | if not (pix1.irect == pix2.irect and pix1.alpha == pix2.alpha == 0 and pix2.n == 1): | ||
188 | pix2 = None | ||
189 | return self.getimage(pix1) | ||
190 | |||
191 | pix = fitz.Pixmap(pix1) # copy of pix1, alpha channel added | ||
192 | pix.setAlpha(pix2.samples) # treat pix2.samples as alpha value | ||
193 | pix1 = pix2 = None # free temp pixmaps | ||
194 | return self.getimage(pix) | ||
195 | |||
196 | # CMYK | ||
197 | pix1 = fitz.Pixmap(doc, x) | ||
198 | pix = fitz.Pixmap(pix1) # copy of pix1, alpha channel added | ||
199 | |||
200 | if s != 0: | ||
201 | pix2 = fitz.Pixmap(doc, s) # create pixmap of the /SMask entry | ||
202 | |||
203 | # sanity check | ||
204 | if not (pix1.irect == pix2.irect and pix1.alpha == pix2.alpha == 0 and pix2.n == 1): | ||
205 | pix2 = None | ||
206 | return self.getimage(pix1) | ||
207 | |||
208 | pix.setAlpha(pix2.samples) # treat pix2.samples as alpha value | ||
209 | |||
210 | pix1 = pix2 = None # free temp pixmaps | ||
211 | |||
212 | pix = fitz.Pixmap(fitz.csRGB, pix) # GRAY/CMYK to RGB | ||
213 | return self.getimage(pix) | ||
214 | |||
215 | @staticmethod | ||
216 | def get_img_data(pix): | ||
217 | if type(pix) is dict: # we got a raw image | ||
218 | ext = pix["ext"] | ||
219 | img_data = pix["image"] | ||
220 | else: # we got a pixmap | ||
221 | ext = 'png' | ||
222 | img_data = pix.getPNGData() | ||
223 | return ext, img_data | ||
224 | |||
225 | @staticmethod | ||
226 | def split_il(il): | ||
227 | img_il_list = [] | ||
228 | start = 0 | ||
229 | length = len(il) | ||
230 | for i in range(length): | ||
231 | if i == start: | ||
232 | if i == length - 1: | ||
233 | img_il_list.append(il[start: length]) | ||
234 | continue | ||
235 | elif i == length - 1: | ||
236 | img_il_list.append(il[start: length]) | ||
237 | continue | ||
238 | if il[i][2] != il[i - 1][2]: | ||
239 | img_il_list.append(il[start: i]) | ||
240 | start = i | ||
241 | elif il[i][3] != il[i - 1][3]: | ||
242 | img_il_list.append(il[start: i + 1]) | ||
243 | start = i + 1 | ||
244 | return img_il_list | ||
245 | |||
246 | # TODO 细化文件状态,不同异常状态采取不同的处理 | 122 | # TODO 细化文件状态,不同异常状态采取不同的处理 |
247 | # TODO 调用接口重试 | 123 | # TODO 调用接口重试 |
248 | def handle(self, *args, **kwargs): | 124 | def handle(self, *args, **kwargs): |
... | @@ -252,98 +128,33 @@ class Command(BaseCommand, LoggerMixin): | ... | @@ -252,98 +128,33 @@ class Command(BaseCommand, LoggerMixin): |
252 | while self.switch: | 128 | while self.switch: |
253 | # 1. 从队列获取文件信息 | 129 | # 1. 从队列获取文件信息 |
254 | doc, business_type = self.get_doc_info() | 130 | doc, business_type = self.get_doc_info() |
255 | |||
256 | try: | 131 | try: |
257 | # 2. 从EDMS获取PDF文件 | 132 | # 2. 从EDMS获取PDF文件 |
258 | doc_data_path, excel_path, pdf_path = self.pdf_download(doc, business_type) | 133 | doc_data_path, excel_path, pdf_path = self.pdf_download(doc, business_type) |
259 | |||
260 | # 队列为空时的处理 | 134 | # 队列为空时的处理 |
261 | if pdf_path is None: | 135 | if pdf_path is None: |
262 | time.sleep(sleep_second) | 136 | time.sleep(sleep_second) |
263 | sleep_second = min(max_sleep_second, sleep_second+5) | 137 | sleep_second = min(max_sleep_second, sleep_second+5) |
264 | continue | 138 | continue |
265 | |||
266 | sleep_second = int(conf.SLEEP_SECOND) | 139 | sleep_second = int(conf.SLEEP_SECOND) |
267 | |||
268 | # 3.PDF文件提取图片 | 140 | # 3.PDF文件提取图片 |
269 | img_save_path = os.path.join(doc_data_path, 'img') | 141 | img_save_path = os.path.join(doc_data_path, 'img') |
270 | os.makedirs(img_save_path, exist_ok=True) | 142 | self.cronjob_log.info('{0} [pdf to img start] [business_type={1}] [doc_id={2}]'.format( |
271 | img_path_list = [] | 143 | self.log_base, business_type, doc.id)) |
272 | with fitz.Document(pdf_path) as pdf: | 144 | pdf_handler = PDFHandler(pdf_path, img_save_path) |
273 | self.cronjob_log.info('{0} [pdf_path={1}] [metadata={2}]'.format( | 145 | pdf_handler.extract_image() |
274 | self.log_base, pdf_path, pdf.metadata)) | 146 | self.cronjob_log.info('{0} [pdf to img end] [business_type={1}] [doc_id={2}]'.format( |
275 | # xref_list = [] # TODO 图片去重 特殊pdf:如电子发票 | 147 | self.log_base, business_type, doc.id)) |
276 | for pno in range(pdf.pageCount): | ||
277 | il = pdf.getPageImageList(pno) | ||
278 | il.sort(key=lambda x: x[0]) | ||
279 | img_il_list = self.split_il(il) | ||
280 | del il | ||
281 | |||
282 | if len(img_il_list) > 3: # 单页无规律小图过多时,使用页面转图片 | ||
283 | page = pdf.loadPage(pno) | ||
284 | pm = page.getPixmap(matrix=self.trans, alpha=False) | ||
285 | save_path = os.path.join(img_save_path, 'page_{0}_img_0.png'.format(page.number)) | ||
286 | pm.writePNG(save_path) | ||
287 | img_path_list.append(save_path) | ||
288 | self.cronjob_log.info('{0} [page to img success] [pdf_path={1}] [page={2}]'.format( | ||
289 | self.log_base, pdf_path, page.number)) | ||
290 | else: # 提取图片 | ||
291 | for img_index, img_il in enumerate(img_il_list): | ||
292 | if len(img_il) == 1: # 当只有一张图片时, 简化处理 | ||
293 | pix = self.recoverpix(pdf, img_il[0]) | ||
294 | ext, img_data = self.get_img_data(pix) | ||
295 | save_path = os.path.join(img_save_path, 'page_{0}_img_{1}.{2}'.format( | ||
296 | pno, img_index, ext)) | ||
297 | with open(save_path, "wb") as f: | ||
298 | f.write(img_data) | ||
299 | img_path_list.append(save_path) | ||
300 | self.cronjob_log.info( | ||
301 | '{0} [extract img success] [pdf_path={1}] [page={2}] [img_index={3}]'.format( | ||
302 | self.log_base, pdf_path, pno, img_index)) | ||
303 | else: # 多张图片,竖向拼接 | ||
304 | height_sum = 0 | ||
305 | im_list = [] | ||
306 | width = img_il[0][2] | ||
307 | for img in img_il: | ||
308 | # xref = img[0] | ||
309 | # if xref in xref_list: | ||
310 | # continue | ||
311 | height = img[3] | ||
312 | pix = self.recoverpix(pdf, img) | ||
313 | ext, img_data = self.get_img_data(pix) | ||
314 | |||
315 | # xref_list.append(xref) | ||
316 | |||
317 | im = Image.open(BytesIO(img_data)) | ||
318 | im_list.append((height, im, ext)) | ||
319 | height_sum += height | ||
320 | |||
321 | save_path = os.path.join(img_save_path, 'page_{0}_img_{1}.{2}'.format( | ||
322 | pno, img_index, im_list[0][2])) | ||
323 | res = Image.new(im_list[0][1].mode, (width, height_sum)) | ||
324 | h_now = 0 | ||
325 | for h, m, _ in im_list: | ||
326 | res.paste(m, box=(0, h_now)) | ||
327 | h_now += h | ||
328 | res.save(save_path) | ||
329 | img_path_list.append(save_path) | ||
330 | self.cronjob_log.info( | ||
331 | '{0} [extract img success] [pdf_path={1}] [page={2}] [img_index={3}]'.format( | ||
332 | self.log_base, pdf_path, pno, img_index)) | ||
333 | self.cronjob_log.info('{0} [pdf to img success] [business_type={1}] [doc_id={2}]'.format( | ||
334 | self.log_base, business_type, doc.id)) | ||
335 | |||
336 | write_zip_file(img_save_path, os.path.join(doc_data_path, '{0}_img.zip'.format(doc.id))) | 148 | write_zip_file(img_save_path, os.path.join(doc_data_path, '{0}_img.zip'.format(doc.id))) |
337 | 149 | ||
338 | # 4.图片调用算法判断是否为银行流水, 图片调用算法OCR为excel文件 | 150 | # 4.图片调用算法判断是否为银行流水, 图片调用算法OCR为excel文件 |
339 | wb = Workbook() | 151 | wb = Workbook() |
340 | loop = asyncio.get_event_loop() | 152 | loop = asyncio.get_event_loop() |
341 | tasks = [self.img_ocr_excel(wb, img_path) for img_path in img_path_list] | 153 | tasks = [self.img_ocr_excel(wb, img_path) for img_path in pdf_handler.img_path_list] |
342 | loop.run_until_complete(asyncio.wait(tasks)) | 154 | loop.run_until_complete(asyncio.wait(tasks)) |
343 | # loop.close() | 155 | # loop.close() |
344 | 156 | ||
345 | # 整合excel文件 | 157 | # 整合excel文件 |
346 | # self.wb_process(wb, excel_path) | ||
347 | wb.save(excel_path) | 158 | wb.save(excel_path) |
348 | except Exception as e: | 159 | except Exception as e: |
349 | doc.status = DocStatus.PROCESS_FAILED.value | 160 | doc.status = DocStatus.PROCESS_FAILED.value | ... | ... |
1 | import os | ||
2 | import fitz | ||
3 | import signal | ||
4 | from PIL import Image | ||
5 | from io import BytesIO | ||
6 | |||
7 | from django.core.management import BaseCommand | ||
8 | from common.mixins import LoggerMixin | ||
9 | |||
10 | |||
11 | class Command(BaseCommand, LoggerMixin): | ||
12 | |||
13 | def __init__(self): | ||
14 | super().__init__() | ||
15 | self.log_base = '[pdf to img]' | ||
16 | # 处理文件开关 | ||
17 | self.switch = True | ||
18 | # pdf页面转图片 | ||
19 | self.zoom_x = 2.0 | ||
20 | self.zoom_y = 2.0 | ||
21 | self.trans = fitz.Matrix(self.zoom_x, self.zoom_y).preRotate(0) # zoom factor 2 in each dimension | ||
22 | # 优雅退出信号:15 | ||
23 | signal.signal(signal.SIGTERM, self.signal_handler) | ||
24 | |||
25 | def signal_handler(self, sig, frame): | ||
26 | self.switch = False # 停止处理文件 | ||
27 | |||
28 | @staticmethod | ||
29 | def getimage(pix): | ||
30 | if pix.colorspace.n != 4: | ||
31 | return pix | ||
32 | tpix = fitz.Pixmap(fitz.csRGB, pix) | ||
33 | return tpix | ||
34 | |||
35 | def recoverpix(self, doc, item): | ||
36 | x = item[0] # xref of PDF image | ||
37 | s = item[1] # xref of its /SMask | ||
38 | is_rgb = True if item[5] == 'DeviceRGB' else False | ||
39 | |||
40 | # RGB | ||
41 | if is_rgb: | ||
42 | if s == 0: | ||
43 | return doc.extractImage(x) | ||
44 | # we need to reconstruct the alpha channel with the smask | ||
45 | pix1 = fitz.Pixmap(doc, x) | ||
46 | pix2 = fitz.Pixmap(doc, s) # create pixmap of the /SMask entry | ||
47 | |||
48 | # sanity check | ||
49 | if not (pix1.irect == pix2.irect and pix1.alpha == pix2.alpha == 0 and pix2.n == 1): | ||
50 | pix2 = None | ||
51 | return self.getimage(pix1) | ||
52 | |||
53 | pix = fitz.Pixmap(pix1) # copy of pix1, alpha channel added | ||
54 | pix.setAlpha(pix2.samples) # treat pix2.samples as alpha value | ||
55 | pix1 = pix2 = None # free temp pixmaps | ||
56 | return self.getimage(pix) | ||
57 | |||
58 | # GRAY/CMYK | ||
59 | pix1 = fitz.Pixmap(doc, x) | ||
60 | pix = fitz.Pixmap(pix1) # copy of pix1, alpha channel added | ||
61 | |||
62 | if s != 0: | ||
63 | pix2 = fitz.Pixmap(doc, s) # create pixmap of the /SMask entry | ||
64 | |||
65 | # sanity check | ||
66 | if not (pix1.irect == pix2.irect and pix1.alpha == pix2.alpha == 0 and pix2.n == 1): | ||
67 | pix2 = None | ||
68 | return self.getimage(pix1) | ||
69 | |||
70 | pix.setAlpha(pix2.samples) # treat pix2.samples as alpha value | ||
71 | |||
72 | pix1 = pix2 = None # free temp pixmaps | ||
73 | |||
74 | pix = fitz.Pixmap(fitz.csRGB, pix) # GRAY/CMYK to RGB | ||
75 | return self.getimage(pix) | ||
76 | |||
77 | @staticmethod | ||
78 | def get_img_data(pix): | ||
79 | if type(pix) is dict: # we got a raw image | ||
80 | ext = pix["ext"] | ||
81 | img_data = pix["image"] | ||
82 | else: # we got a pixmap | ||
83 | ext = 'png' | ||
84 | img_data = pix.getPNGData() | ||
85 | return ext, img_data | ||
86 | |||
87 | @staticmethod | ||
88 | def split_il(il): | ||
89 | small_img_il_list = [] | ||
90 | big_img_il_list = [] | ||
91 | start = 0 | ||
92 | index = 0 | ||
93 | length = len(il) | ||
94 | for i in range(length): | ||
95 | if il[i][2] >= 700 and il[i][3] >= 647: | ||
96 | if start < i: | ||
97 | small_img_il_list.append((il[start: i], index)) | ||
98 | index += 1 | ||
99 | else: | ||
100 | start += 1 | ||
101 | big_img_il_list.append((il[i], index)) | ||
102 | index += 1 | ||
103 | continue | ||
104 | if i == start: | ||
105 | if i == length - 1: | ||
106 | small_img_il_list.append((il[start: length], index)) | ||
107 | continue | ||
108 | elif i == length - 1: | ||
109 | if il[i][2] == il[i - 1][2]: | ||
110 | small_img_il_list.append((il[start: length], index)) | ||
111 | else: | ||
112 | small_img_il_list.append((il[start: i], index)) | ||
113 | small_img_il_list.append((il[i: length], index+1)) | ||
114 | continue | ||
115 | if il[i][2] != il[i - 1][2]: | ||
116 | small_img_il_list.append((il[start: i], index)) | ||
117 | index += 1 | ||
118 | start = i | ||
119 | elif il[i][3] != il[i - 1][3] and il[i][2] < 1200: | ||
120 | small_img_il_list.append((il[start: i + 1], index)) | ||
121 | index += 1 | ||
122 | start = i + 1 | ||
123 | return small_img_il_list, big_img_il_list | ||
124 | |||
125 | def handle(self, *args, **kwargs): | ||
126 | pdf_dir = '/Users/clay/Desktop/问题PDF' | ||
127 | img_dir = '/Users/clay/Desktop/问题PDF' | ||
128 | for d in os.listdir(pdf_dir): | ||
129 | # if d in ['.DS_Store', 'CH-B008003736.pdf', 'CH-B006317088.pdf', 'CH-B008487476.pdf', 'CH-B006337608.pdf', | ||
130 | # 'CH-B006391612.pdf', 'CH-B006536124.pdf', 'CH-B006526652.pdf', 'CH-B009003592.pdf']: | ||
131 | # continue | ||
132 | # if d != 'CH-B006393152.PDF': | ||
133 | # if d != 'CH-B006526652.pdf': | ||
134 | if d != 'CH-B008487944.pdf': | ||
135 | continue | ||
136 | pdf_path = os.path.join(pdf_dir, d) | ||
137 | if os.path.isfile(pdf_path): | ||
138 | img_save_path = os.path.join(img_dir, d[:-4]) | ||
139 | # if os.path.exists(img_save_path): | ||
140 | # continue | ||
141 | os.makedirs(img_save_path, exist_ok=True) | ||
142 | with fitz.Document(pdf_path) as pdf: | ||
143 | self.cronjob_log.info('{0} [pdf_path={1}] [metadata={2}]'.format( | ||
144 | self.log_base, pdf_path, pdf.metadata)) | ||
145 | xref_set = set() | ||
146 | for pno in range(pdf.pageCount): | ||
147 | print('---------------------------------------') | ||
148 | il = pdf.getPageImageList(pno) | ||
149 | # (xref, smask, width, height, bpc, colorspace, alt.colorspace, name, filter, invoker) | ||
150 | print(il) | ||
151 | |||
152 | # for img_index, img in enumerate(il): | ||
153 | # pix = self.recoverpix(pdf, img) | ||
154 | # ext, img_data = self.get_img_data(pix) | ||
155 | # save_path = os.path.join(img_save_path, 'page_{0}_img_{1}.{2}'.format( | ||
156 | # pno, img_index, ext)) | ||
157 | # with open(save_path, "wb") as f: | ||
158 | # f.write(img_data) | ||
159 | |||
160 | if len(il) == 0: | ||
161 | page = pdf.loadPage(pno) | ||
162 | pm = page.getPixmap(matrix=self.trans, alpha=False) | ||
163 | save_path = os.path.join(img_save_path, 'page_{0}_img_0.png'.format(page.number)) | ||
164 | pm.writePNG(save_path) | ||
165 | elif len(il) == 1: | ||
166 | width = il[0][2] | ||
167 | height = il[0][3] | ||
168 | colorspace = il[0][5] | ||
169 | adobe_filter = il[0][-1] | ||
170 | if colorspace == '' or adobe_filter in ['', '']: | ||
171 | continue | ||
172 | # 小图 | ||
173 | if width < 500 and height < 500: | ||
174 | page = pdf.loadPage(pno) | ||
175 | pm = page.getPixmap(matrix=self.trans, alpha=False) | ||
176 | save_path = os.path.join(img_save_path, 'page_{0}_img_0.png'.format(page.number)) | ||
177 | pm.writePNG(save_path) | ||
178 | # 大图 | ||
179 | elif il[0][0] not in xref_set: | ||
180 | pix = self.recoverpix(pdf, il[0]) | ||
181 | ext, img_data = self.get_img_data(pix) | ||
182 | save_path = os.path.join(img_save_path, 'page_{0}_img_0.{1}'.format(pno, ext)) | ||
183 | with open(save_path, "wb") as f: | ||
184 | f.write(img_data) | ||
185 | xref_set.add(il[0][0]) | ||
186 | else: | ||
187 | il.sort(key=lambda x: x[0]) | ||
188 | small_img_il_list, big_img_il_list = self.split_il(il) | ||
189 | print(small_img_il_list) | ||
190 | print(big_img_il_list) | ||
191 | print('+++++++++++++++++++++++++++++++++++') | ||
192 | |||
193 | if len(small_img_il_list) > 2: # 单页无规律小图过多时,使用页面转图片 | ||
194 | page = pdf.loadPage(pno) | ||
195 | pm = page.getPixmap(matrix=self.trans, alpha=False) | ||
196 | save_path = os.path.join(img_save_path, 'page_{0}_img_0.png'.format(page.number)) | ||
197 | pm.writePNG(save_path) | ||
198 | else: # 提取图片 | ||
199 | for img_il, img_index in big_img_il_list: | ||
200 | if img_il[0] in xref_set: | ||
201 | continue | ||
202 | pix = self.recoverpix(pdf, img_il) | ||
203 | ext, img_data = self.get_img_data(pix) | ||
204 | save_path = os.path.join(img_save_path, 'page_{0}_img_{1}.{2}'.format( | ||
205 | pno, img_index, ext)) | ||
206 | with open(save_path, "wb") as f: | ||
207 | f.write(img_data) | ||
208 | xref_set.add(img_il[0]) | ||
209 | |||
210 | for img_il, img_index in small_img_il_list: | ||
211 | # 小图 | ||
212 | if len(img_il) == 1 and img_il[0][2] < 500 and img_il[0][3] < 500: | ||
213 | page = pdf.loadPage(pno) | ||
214 | pm = page.getPixmap(matrix=self.trans, alpha=False) | ||
215 | save_path = os.path.join(img_save_path, | ||
216 | 'page_{0}_img_0.png'.format(page.number)) | ||
217 | pm.writePNG(save_path) | ||
218 | elif len(img_il) == 1 and img_il[0][0] not in xref_set: # 当只有一张图片时, 简化处理 | ||
219 | pix = self.recoverpix(pdf, img_il[0]) | ||
220 | ext, img_data = self.get_img_data(pix) | ||
221 | save_path = os.path.join(img_save_path, 'page_{0}_img_{1}.{2}'.format( | ||
222 | pno, img_index, ext)) | ||
223 | with open(save_path, "wb") as f: | ||
224 | f.write(img_data) | ||
225 | xref_set.add(img_il[0][0]) | ||
226 | else: # 多张图片,竖向拼接 | ||
227 | height_sum = 0 | ||
228 | im_list = [] | ||
229 | width = img_il[0][2] | ||
230 | for img in img_il: | ||
231 | # xref = img[0] | ||
232 | # if xref in xref_list: | ||
233 | # continue | ||
234 | height = img[3] | ||
235 | pix = self.recoverpix(pdf, img) | ||
236 | ext, img_data = self.get_img_data(pix) | ||
237 | |||
238 | # xref_list.append(xref) | ||
239 | |||
240 | im = Image.open(BytesIO(img_data)) | ||
241 | im_list.append((height, im, ext)) | ||
242 | height_sum += height | ||
243 | |||
244 | save_path = os.path.join(img_save_path, 'page_{0}_img_{1}.{2}'.format( | ||
245 | pno, img_index, im_list[0][2])) | ||
246 | res = Image.new(im_list[0][1].mode, (width, height_sum)) | ||
247 | h_now = 0 | ||
248 | for h, m, _ in im_list: | ||
249 | res.paste(m, box=(0, h_now)) | ||
250 | h_now += h | ||
251 | res.save(save_path) |
... | @@ -28,7 +28,8 @@ class DocHandler: | ... | @@ -28,7 +28,8 @@ class DocHandler: |
28 | def get_doc_class(business_type): | 28 | def get_doc_class(business_type): |
29 | return (HILDoc, consts.HIL_PREFIX) if business_type in consts.HIL_SET else (AFCDoc, consts.AFC_PREFIX) | 29 | return (HILDoc, consts.HIL_PREFIX) if business_type in consts.HIL_SET else (AFCDoc, consts.AFC_PREFIX) |
30 | 30 | ||
31 | def fix_scheme(self, scheme): | 31 | @staticmethod |
32 | def fix_scheme(scheme): | ||
32 | if scheme in consts.DOC_SCHEME_LIST: | 33 | if scheme in consts.DOC_SCHEME_LIST: |
33 | return scheme | 34 | return scheme |
34 | elif scheme.upper() in consts.DOC_SCHEME_LIST: | 35 | elif scheme.upper() in consts.DOC_SCHEME_LIST: |
... | @@ -36,7 +37,8 @@ class DocHandler: | ... | @@ -36,7 +37,8 @@ class DocHandler: |
36 | else: | 37 | else: |
37 | return consts.DOC_SCHEME_LIST[0] | 38 | return consts.DOC_SCHEME_LIST[0] |
38 | 39 | ||
39 | def fix_data_source(self, data_source): | 40 | @staticmethod |
41 | def fix_data_source(data_source): | ||
40 | if data_source in consts.DATA_SOURCE_LIST: | 42 | if data_source in consts.DATA_SOURCE_LIST: |
41 | return data_source | 43 | return data_source |
42 | elif data_source.upper() in consts.DATA_SOURCE_LIST: | 44 | elif data_source.upper() in consts.DATA_SOURCE_LIST: | ... | ... |
src/common/tools/pdf_to_img.py
0 → 100644
1 | import os | ||
2 | import fitz | ||
3 | from PIL import Image | ||
4 | from io import BytesIO | ||
5 | |||
6 | # 页面保存为png图片参数 | ||
7 | ZOOM_X = ZOOM_Y = 2.0 | ||
8 | trans = fitz.Matrix(ZOOM_X, ZOOM_X).preRotate(0) # zoom factor 2 in each dimension | ||
9 | |||
10 | # 特殊filter处理 | ||
11 | ADOBE_FILTER_SET = {'FlateDecode', 'JPXDecode', 'JBIG2Decode'} | ||
12 | |||
13 | # 宽高阈值组合 | ||
14 | WH_COUPLE_1 = (500, 500) | ||
15 | WH_COUPLE_2 = (700, 647) | ||
16 | WH_COUPLE_3 = (100, 100) | ||
17 | WH_COUPLE_4 = (100, 300) | ||
18 | WH_COUPLE_5 = (100, 200) | ||
19 | |||
20 | |||
21 | class PDFHandler: | ||
22 | |||
23 | def __init__(self, path, img_dir_path): | ||
24 | self.path = path | ||
25 | self.img_dir_path = img_dir_path | ||
26 | self.img_path_list = [] | ||
27 | self.xref_set = set() | ||
28 | |||
29 | def get_img_save_path(self, pno, img_index=0, ext='png'): | ||
30 | return os.path.join(self.img_dir_path, 'page_{0}_img_{1}.{2}'.format(pno, img_index, ext)) | ||
31 | |||
32 | def page_to_png(self, page): | ||
33 | pm = page.getPixmap(matrix=trans, alpha=False) | ||
34 | img_save_path = self.get_img_save_path(page.number) | ||
35 | pm.writePNG(img_save_path) | ||
36 | self.img_path_list.append(img_save_path) | ||
37 | |||
38 | @staticmethod | ||
39 | def getimage(pix): | ||
40 | # RGB | ||
41 | if pix.colorspace.n != 4: | ||
42 | return pix | ||
43 | # GRAY/CMYK | ||
44 | tpix = fitz.Pixmap(fitz.csRGB, pix) | ||
45 | return tpix | ||
46 | |||
47 | def recover_pix(self, doc, xref, smask, colorspace): | ||
48 | if smask != 0: | ||
49 | # we need to reconstruct the alpha channel with the smask | ||
50 | pix1 = fitz.Pixmap(doc, xref) | ||
51 | pix2 = fitz.Pixmap(doc, smask) # create pixmap of the /SMask entry | ||
52 | |||
53 | # sanity check | ||
54 | if not (pix1.irect == pix2.irect and pix1.alpha == pix2.alpha == 0 and pix2.n == 1): | ||
55 | pix2 = None | ||
56 | return self.getimage(pix1) | ||
57 | |||
58 | pix = fitz.Pixmap(pix1) # copy of pix1, alpha channel added | ||
59 | pix.setAlpha(pix2.samples) # treat pix2.samples as alpha value | ||
60 | pix1 = pix2 = None # free temp pixmaps | ||
61 | return self.getimage(pix) | ||
62 | elif colorspace in {'Separation', 'DeviceCMYK'}: | ||
63 | pix = fitz.Pixmap(doc, xref) | ||
64 | tpix = fitz.Pixmap(fitz.csRGB, pix) | ||
65 | return tpix | ||
66 | else: | ||
67 | return doc.extractImage(xref) | ||
68 | |||
69 | @staticmethod | ||
70 | def get_img_data(pix): | ||
71 | if type(pix) is dict: # we got a raw image | ||
72 | ext = pix["ext"] | ||
73 | img_data = pix["image"] | ||
74 | else: # we got a pixmap | ||
75 | ext = 'png' | ||
76 | img_data = pix.getPNGData() | ||
77 | return ext, img_data | ||
78 | |||
79 | def extract_single_image(self, pdf, xref, smask, colorspace, pno, img_index=0): | ||
80 | pix = self.recover_pix(pdf, xref, smask, colorspace) | ||
81 | ext, img_data = self.get_img_data(pix) | ||
82 | img_save_path = self.get_img_save_path(pno, img_index=img_index, ext=ext) | ||
83 | with open(img_save_path, "wb") as f: | ||
84 | f.write(img_data) | ||
85 | self.xref_set.add(xref) | ||
86 | self.img_path_list.append(img_save_path) | ||
87 | |||
88 | @staticmethod | ||
89 | def split_il(il): | ||
90 | broken_il = [] | ||
91 | start = 0 | ||
92 | length = len(il) | ||
93 | page_to_png = None | ||
94 | for i in range(length): | ||
95 | # 当图片对象含有特殊filter时,特殊处理:整个页面保存为png图片 | ||
96 | if il[i][-1] in ADOBE_FILTER_SET: | ||
97 | page_to_png = True | ||
98 | break | ||
99 | else: | ||
100 | for i in range(length): | ||
101 | # 当图片对象够大时,不作碎图合并处理,而是单纯提取 | ||
102 | if il[i][2] >= WH_COUPLE_2[0] and il[i][3] >= WH_COUPLE_2[1]: | ||
103 | break | ||
104 | if i == start: | ||
105 | if i == length - 1: | ||
106 | broken_il.append(il[start: length]) | ||
107 | continue | ||
108 | elif i == length - 1: | ||
109 | if il[i][2] == il[i - 1][2]: | ||
110 | broken_il.append(il[start: length]) | ||
111 | else: | ||
112 | broken_il.append(il[start: i]) | ||
113 | broken_il.append(il[i: length]) | ||
114 | continue | ||
115 | if il[i][2] != il[i - 1][2]: | ||
116 | broken_il.append(il[start: i]) | ||
117 | start = i | ||
118 | elif il[i][3] != il[i - 1][3]: | ||
119 | broken_il.append(il[start: i + 1]) | ||
120 | start = i + 1 | ||
121 | else: | ||
122 | # 碎图分组结果 | ||
123 | return broken_il | ||
124 | return page_to_png | ||
125 | |||
126 | def merge_il(self, pdf, pno, il): | ||
127 | # 尝试碎图合并前的分组 | ||
128 | il.sort(key=lambda x: x[0]) | ||
129 | broken_il = self.split_il(il) | ||
130 | |||
131 | page_to_png = True | ||
132 | # 3.1 当图片对象够大时,不作碎图合并处理,而是单纯提取 | ||
133 | if broken_il is None: | ||
134 | page_to_png = False | ||
135 | for img_index, img in enumerate(il): | ||
136 | xref, smask, width, height, _, colorspace, _, _, adobe_filter = img | ||
137 | if width < WH_COUPLE_3[0] or height < WH_COUPLE_3[1]: # 过滤小图(如二维码) | ||
138 | continue | ||
139 | elif xref not in self.xref_set: | ||
140 | self.extract_single_image(pdf, xref, smask, colorspace, pno, img_index) | ||
141 | # 3.2 碎图按照分组合并 | ||
142 | elif isinstance(broken_il, list) and len(broken_il) <= 2: | ||
143 | for img_index, img_il in enumerate(broken_il): | ||
144 | # 3.2.1 仅一张碎图,过滤或直接提取 | ||
145 | if len(img_il) == 1: | ||
146 | xref, smask, width, height, _, colorspace, _, _, adobe_filter = img_il[0] | ||
147 | # 过滤小图(如二维码) | ||
148 | if width < WH_COUPLE_4[0] or height < WH_COUPLE_4[1] or \ | ||
149 | (width < WH_COUPLE_1[0] and height < WH_COUPLE_1[1]): | ||
150 | continue | ||
151 | elif xref not in self.xref_set: | ||
152 | self.extract_single_image(pdf, xref, smask, colorspace, pno, img_index) | ||
153 | page_to_png = False | ||
154 | # 3.2.2 多张碎图,竖向拼接 | ||
155 | else: | ||
156 | height_sum = sum([img[3] for img in img_il]) | ||
157 | width = img_il[0][2] | ||
158 | # 过滤小图和不常规大图 | ||
159 | if width < WH_COUPLE_5[0] or height_sum < WH_COUPLE_5[1] or \ | ||
160 | (width > 1000 and height_sum > width * 3): | ||
161 | continue | ||
162 | im_list = [] | ||
163 | for img in img_il: | ||
164 | xref, smask, _, height, _, colorspace, _, _, adobe_filter = img | ||
165 | pix = self.recover_pix(pdf, xref, smask, colorspace) | ||
166 | ext, img_data = self.get_img_data(pix) | ||
167 | im = Image.open(BytesIO(img_data)) | ||
168 | im_list.append((height, im, ext)) | ||
169 | new_img = Image.new(im_list[0][1].mode, (width, height_sum)) | ||
170 | h_now = 0 | ||
171 | for h, m, _ in im_list: | ||
172 | new_img.paste(m, box=(0, h_now)) | ||
173 | h_now += h | ||
174 | img_save_path = self.get_img_save_path(pno, img_index, im_list[0][2]) | ||
175 | new_img.save(img_save_path) | ||
176 | page_to_png = False | ||
177 | self.img_path_list.append(img_save_path) | ||
178 | |||
179 | # 3.3 碎图分组大于2、全过滤、含特殊filter,特殊处理:整个页面保存为png图片 | ||
180 | if page_to_png: | ||
181 | page = pdf.loadPage(pno) | ||
182 | self.page_to_png(page) | ||
183 | |||
184 | def extract_image(self): | ||
185 | os.makedirs(self.img_dir_path, exist_ok=True) | ||
186 | with fitz.Document(self.path) as pdf: | ||
187 | for pno in range(pdf.pageCount): | ||
188 | il = pdf.getPageImageList(pno) # 获取页面图片对象 | ||
189 | # (xref, smask, width, height, bpc, colorspace, alt.colorspace, name, filter, invoker) | ||
190 | |||
191 | # 1.页面图片对象数目为0时,保存整个页面为png图片 | ||
192 | if len(il) == 0: | ||
193 | page = pdf.loadPage(pno) | ||
194 | self.page_to_png(page) | ||
195 | # 2.页面图片对象数目为1时: | ||
196 | # 小图(如电子账单的盖章):保存整个页面为png图片 | ||
197 | # 大图:提取图片对象 | ||
198 | elif len(il) == 1: | ||
199 | xref, smask, width, height, _, colorspace, _, _, _ = il[0] | ||
200 | # 小图 | ||
201 | if width < WH_COUPLE_1[0] and height < WH_COUPLE_1[1]: | ||
202 | page = pdf.loadPage(pno) | ||
203 | self.page_to_png(page) | ||
204 | # 大图 | ||
205 | elif xref not in self.xref_set: | ||
206 | self.extract_single_image(pdf, xref, smask, colorspace, pno) | ||
207 | # 3.页面图片对象数目大于1时,特殊处理 | ||
208 | else: | ||
209 | self.merge_il(pdf, pno, il) |
src/common/tools/pdf_tools.py
deleted
100644 → 0
1 | import fitz | ||
2 | import os | ||
3 | from PIL import Image | ||
4 | from io import BytesIO | ||
5 | |||
6 | |||
7 | class PdfHandler: | ||
8 | |||
9 | def __init__(self, pdf_path): | ||
10 | self.pdf_path = pdf_path | ||
11 | self.pdf_name = os.path.splitext(os.path.basename(pdf_path))[0] | ||
12 | |||
13 | def page_to_pix_img(self, save_dir_path, zoom_x, zoom_y): | ||
14 | trans = fitz.Matrix(zoom_x, zoom_y).preRotate(0) # zoom factor 2 in each dimension | ||
15 | with fitz.Document(self.pdf_path) as pdf: | ||
16 | # print(pdf.metadata) | ||
17 | # print(pdf.getPageImageList(0)) | ||
18 | # print(pdf.getToC()) # 获取大纲 | ||
19 | for page in pdf: | ||
20 | pm = page.getPixmap(matrix=trans, alpha=False) | ||
21 | # print(pm.samples) # a rectangular area of bytes representing the image data (a Python bytes object). | ||
22 | # print(pm.width) | ||
23 | # print(pm.height) | ||
24 | # print(pm.stride) # number of bytes of one horizontal image line) | ||
25 | |||
26 | save_path = os.path.join(save_dir_path, '{0}_{1}.png'.format(self.pdf_name, page.number)) | ||
27 | # pm.writePNG(save_path) | ||
28 | pm.writeImage(save_path) | ||
29 | |||
30 | def page_to_svg_img(self, save_dir_path): | ||
31 | with fitz.Document(self.pdf_path) as pdf: | ||
32 | for page in pdf: | ||
33 | svg = page.getSVGimage(matrix=fitz.Identity) # UTF-8 string svg | ||
34 | save_path = os.path.join(save_dir_path, '{0}_{1}.svg'.format(self.pdf_name, page.number)) | ||
35 | with open(save_path, 'w') as f: | ||
36 | f.write(svg) | ||
37 | |||
38 | @staticmethod | ||
39 | def getimage(pix): | ||
40 | if pix.colorspace.n != 4: | ||
41 | return pix | ||
42 | tpix = fitz.Pixmap(fitz.csRGB, pix) | ||
43 | return tpix | ||
44 | |||
45 | def recoverpix(self, doc, item): | ||
46 | x = item[0] # xref of PDF image | ||
47 | s = item[1] # xref of its /SMask | ||
48 | is_rgb = True if item[5] == 'DeviceRGB' else False | ||
49 | |||
50 | # RGB | ||
51 | if is_rgb: | ||
52 | if s == 0: | ||
53 | return doc.extractImage(x) | ||
54 | # we need to reconstruct the alpha channel with the smask | ||
55 | pix1 = fitz.Pixmap(doc, x) | ||
56 | pix2 = fitz.Pixmap(doc, s) # create pixmap of the /SMask entry | ||
57 | |||
58 | # sanity check | ||
59 | if not (pix1.irect == pix2.irect and pix1.alpha == pix2.alpha == 0 and pix2.n == 1): | ||
60 | pix2 = None | ||
61 | return self.getimage(pix1) | ||
62 | |||
63 | pix = fitz.Pixmap(pix1) # copy of pix1, alpha channel added | ||
64 | pix.setAlpha(pix2.samples) # treat pix2.samples as alpha value | ||
65 | pix1 = pix2 = None # free temp pixmaps | ||
66 | return self.getimage(pix) | ||
67 | |||
68 | # GRAY/CMYK | ||
69 | pix1 = fitz.Pixmap(doc, x) | ||
70 | pix = fitz.Pixmap(pix1) # copy of pix1, alpha channel added | ||
71 | |||
72 | if s != 0: | ||
73 | pix2 = fitz.Pixmap(doc, s) # create pixmap of the /SMask entry | ||
74 | |||
75 | # sanity check | ||
76 | if not (pix1.irect == pix2.irect and pix1.alpha == pix2.alpha == 0 and pix2.n == 1): | ||
77 | pix2 = None | ||
78 | return self.getimage(pix1) | ||
79 | |||
80 | pix.setAlpha(pix2.samples) # treat pix2.samples as alpha value | ||
81 | |||
82 | pix1 = pix2 = None # free temp pixmaps | ||
83 | |||
84 | pix = fitz.Pixmap(fitz.csRGB, pix) # GRAY/CMYK to RGB | ||
85 | return self.getimage(pix) | ||
86 | |||
87 | def extract_images(self, save_dir_path): | ||
88 | dimlimit = 100 # each image side must be greater than this | ||
89 | relsize = 0.05 # image : pixmap size ratio must be larger than this (5%) | ||
90 | abssize = 2048 # absolute image size limit 2 KB: ignore if smaller | ||
91 | imgdir = save_dir_path # found images are stored in this subfolder | ||
92 | |||
93 | xreflist = [] | ||
94 | with fitz.Document(self.pdf_path) as pdf: | ||
95 | for pno in range(pdf.pageCount): | ||
96 | il = pdf.getPageImageList(pno) | ||
97 | for img in il: | ||
98 | print(img) | ||
99 | xref = img[0] | ||
100 | if xref in xreflist: | ||
101 | continue | ||
102 | width = img[2] | ||
103 | height = img[3] | ||
104 | print(xref, width, height) | ||
105 | # if min(width, height) <= dimlimit: | ||
106 | # continue | ||
107 | pix = self.recoverpix(pdf, img) | ||
108 | if type(pix) is dict: # we got a raw image | ||
109 | ext = pix["ext"] | ||
110 | imgdata = pix["image"] | ||
111 | n = pix["colorspace"] | ||
112 | imgfile = os.path.join(imgdir, "img-%i.%s" % (xref, ext)) | ||
113 | else: # we got a pixmap | ||
114 | imgfile = os.path.join(imgdir, "img-%i.png" % xref) | ||
115 | n = pix.n | ||
116 | imgdata = pix.getPNGData() | ||
117 | |||
118 | # if len(imgdata) <= abssize: | ||
119 | # continue | ||
120 | # | ||
121 | # if len(imgdata) / (width * height * n) <= relsize: | ||
122 | # continue | ||
123 | |||
124 | fout = open(imgfile, "wb") | ||
125 | fout.write(imgdata) | ||
126 | fout.close() | ||
127 | xreflist.append(xref) | ||
128 | |||
129 | @staticmethod | ||
130 | def split_il(il): | ||
131 | img_il_list = [] | ||
132 | start = 0 | ||
133 | length = len(il) | ||
134 | for i in range(length): | ||
135 | if i == start: | ||
136 | if i == length - 1: | ||
137 | img_il_list.append(il[start: length]) | ||
138 | continue | ||
139 | elif i == length - 1: | ||
140 | img_il_list.append(il[start: length]) | ||
141 | continue | ||
142 | if il[i][2] != il[i - 1][2]: | ||
143 | img_il_list.append(il[start: i]) | ||
144 | start = i | ||
145 | elif il[i][3] != il[i - 1][3]: | ||
146 | img_il_list.append(il[start: i + 1]) | ||
147 | start = i + 1 | ||
148 | return img_il_list | ||
149 | |||
150 | def extract_images_pro(self, save_dir_path): | ||
151 | with fitz.Document(self.pdf_path) as pdf: | ||
152 | print('----------------------------') | ||
153 | print(self.pdf_name) | ||
154 | print(pdf.metadata) | ||
155 | # xref_list = [] | ||
156 | for pno in range(pdf.pageCount): | ||
157 | print('========================') | ||
158 | il = pdf.getPageImageList(pno) | ||
159 | il.sort(key=lambda x: x[0]) | ||
160 | # (xref, smask, width, height, bpc, colorspace, alt.colorspace, name, filter, invoker) | ||
161 | |||
162 | img_il_list = self.split_il(il) | ||
163 | il = None | ||
164 | print(img_il_list) | ||
165 | print(len(img_il_list)) | ||
166 | |||
167 | for img_count, img_il in enumerate(img_il_list): | ||
168 | print(img_il) | ||
169 | height_sum = 0 | ||
170 | im_list = [] | ||
171 | for img in img_il: | ||
172 | # xref = img[0] | ||
173 | # if xref in xref_list: | ||
174 | # continue | ||
175 | width = img[2] | ||
176 | height = img[3] | ||
177 | pix = self.recoverpix(pdf, img) | ||
178 | if type(pix) is dict: # we got a raw image | ||
179 | ext = pix["ext"] | ||
180 | img_data = pix["image"] | ||
181 | else: # we got a pixmap | ||
182 | ext = 'png' | ||
183 | img_data = pix.getPNGData() | ||
184 | |||
185 | # xref_list.append(xref) | ||
186 | |||
187 | im = Image.open(BytesIO(img_data)) | ||
188 | im_list.append((width, height, im, ext)) | ||
189 | height_sum += height | ||
190 | |||
191 | print(im_list) | ||
192 | save_path = os.path.join(save_dir_path, 'page_{0}_img_{1}.{2}'.format( | ||
193 | pno, img_count, im_list[0][3])) | ||
194 | # 当只有一张图片时, 简化处理 | ||
195 | if len(im_list) == 1: | ||
196 | im_list[0][2].save(save_path) | ||
197 | # 多张图片,竖向拼接 | ||
198 | else: | ||
199 | res = Image.new(im_list[0][2].mode, (im_list[0][0], height_sum)) | ||
200 | h_now = 0 | ||
201 | for _, h, m, _ in im_list: | ||
202 | res.paste(m, box=(0, h_now)) | ||
203 | h_now += h | ||
204 | res.save(save_path) | ||
205 | |||
206 | |||
207 | if __name__ == '__main__': | ||
208 | dir_path = '/Users/clay/Desktop/biz/pdf_test/银行流水/' | ||
209 | pdf_list = os.listdir(dir_path) | ||
210 | for path in pdf_list: | ||
211 | if path == '.DS_Store': | ||
212 | continue | ||
213 | pdf_handler = PdfHandler(os.path.join(dir_path, path)) | ||
214 | save_path = os.path.join('/Users/clay/Desktop/biz/pdf_test/', 'test', os.path.splitext(os.path.basename(path))[0]) | ||
215 | os.mkdir(save_path) | ||
216 | pdf_handler.extract_images_pro(save_path) | ||
217 | # pdf_handler = PdfHandler('/Users/clay/Desktop/biz/pdf_test/银行流水/竖版-特殊-邮储银行-一本通绿卡通交易明细(客户).pdf') | ||
218 | # pdf_handler = PdfHandler('/Users/clay/Desktop/biz/pdf_test/银行流水/横版-表格-工商银行 借记卡账户历史明细清单 .pdf') | ||
219 | # pdf_handler.page_to_pix_img('/Users/clay/Desktop/biz/pdf_test/', 3.0, 3.0) | ||
220 | # pdf_handler.page_to_svg_img('/Users/clay/Desktop/biz/pdf_test/') | ||
221 | # pdf_handler.extract_images_pro('/Users/clay/Desktop/biz/pdf_test/test') | ||
222 | |||
223 | # pix = fitz.Pixmap(sys.argv[1]) # read image file | ||
224 | # rgb = "RGB" # set PIL parameter | ||
225 | # if pix.alpha: # JPEG cannot have alpha! | ||
226 | # pix0 = fitz.Pixmap(pix, 0) # drop alpha channel | ||
227 | # pix = pix0 # rename pixmap | ||
228 | # | ||
229 | # img = Image.frombuffer(rgb, [pix.width, pix.height], pix.samples, "raw", rgb, 0, 1) | ||
230 | # img.save(outputFileName) |
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