def init(filepath, type='special', pars=dict(textline_method='textboxes')):
'''
mage = cv2.imread(filepath,0)
str_info, position = recog_qrcode(image, roi=None)
#二维码无法识别
if str_info == None:
'''
timer = Timer()
timer.tic()
if not views.local_start:
res = scanQRc(filepath)
timer.toc(content="二维码识别")
if res[0] != '':
# 显示二维码
plt_rects = []
plt_rects.append([
res[1][1][0], res[1][1][1], res[1][3][0] - res[1][0][0],
res[1][0][1] - res[1][1][1]
])
# 显示
vis_textline0 = fp.util.visualize.rects(cv2.imread(filepath, 0),
plt_rects)
# 运行代码需要如下部分
pl.imshow(vis_textline0)
# 保存到line目录
pltpath = filepath.replace("upload", "line")
try:
pl.savefig(pltpath)
except Exception as e:
print("绘制行提取图片不支持bmp格式：{}".format(e))
resArray = getArrayFromStr(res[0])
# print(resArray)
js = InterfaceType.JsonInterface.invoice()
js.setVATInvoiceFromArray(resArray, type)
jsoni = js.dic
print(jsoni)
return json.dumps(jsoni).encode().decode("unicode-escape"), timer
else:
return newMubanDetect(filepath, type, pars, timer)
else:
# print('newMubanD')
return newMubanDetect(filepath, type, pars, timer)
'''
def init(filepath):
'''
mage = cv2.imread(filepath,0)
str_info, position = recog_qrcode(image, roi=None)
#二维码无法识别
if str_info == None:
'''
timer = Timer()
timer.tic()
#recog = fp.TextBoxes.recog_invoice_type.InvoiTypeRecog()
recog = views.global_recog
## load image with OpenCV
im = cv2.imread(filepath)
im = cv2.resize(im, (448, 448))
# im = caffe.io.load_image(filepath)
typeP = recog(im)
# 01 *增值税专用发票
# 02 货运运输业增值税专用发票
# 03 机动车销售统一发票
# 04 *增值税普通发票
# 10 *增值税普通发票(电子)
# 11 *增值税普通发票(卷式)
# 91 出租车票
# 92 *火车票
# 93 *飞机票
# 94 汽车票
# 95 *定额发票
# 96 长途汽车票
# 97 通用机打发票
# 98 政府非税收收入一般缴款书
# 00 其他类型
# 注：增值税票目前不能区分具体种类，可统一返回01
# 201907706 返回：['quota', 'airticket', 'special', 'trainticket']
print("发票类型识别：", typeP)
if typeP == '01':
res = scanQRc(filepath)
timer.toc(content="二维码识别")
print("二维码识别调用结束")
if res[0] != '':
# 显示二维码
# plt_rects = []
# plt_rects.append(
# [res[1][1][0],
# res[1][1][1],
# res[1][3][0] - res[1][0][0],
# res[1][0][1] - res[1][1][1]])
# # 显示
# vis_textline0 = fp.util.visualize.rects(cv2.imread(filepath, 0), plt_rects)
# # 运行代码需要如下部分
# pl.imshow(vis_textline0)
# # 保存到line目录
# pltpath = filepath.replace("upload", "line")
# try:
# pl.savefig(pltpath)
# except Exception as e:
# print("绘制行提取图片不支持bmp格式：{}".format(e))
#关闭绘制二维码 wt 2019.10.19
pltpath = filepath.replace("upload", "line")
im = cv2.imread(filepath, 0)
cv2.imwrite(pltpath, im)
resArray = getArrayFromStr(res[0])
print("Loading json", resArray)
js = InterfaceType.JsonInterface.invoice()
js.setVATInvoiceFromArray(resArray, typeP)
jsoni = js.dic
print(jsoni)
return json.dumps(jsoni).encode().decode(
"unicode-escape"), timer, typeP
else:
return newMubanDetect(filepath, 'normal', timer)
#return newMubanDetect(filepath, 'normal', timer)
elif typeP == '92':
print("train tk ocr begin")
return Ocr.init(filepath, 'blue')[0], timer, typeP
else:
return "", timer, typeP