update pdf to img
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| ... | @@ -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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