Upload app.py

app.py

@@ -0,0 +1,390 @@
+import easyocr as ocr  #OCR
+import streamlit as st  #Web App
+from PIL import Image, ImageOps #Image Processing
+import time
+from unittest import result
+import editdistance
+from pythainlp.util import isthai
+import numpy as np
+
+st.title("Thai-Identification Card (OCR) Webapp.")
+
+#subtitle
+st.markdown("ระบบตรวจจับข้อมูลจากบัตรประชาชน (ชื่อ-นามสกุล , เลขบัตรประชาชน).")
+
+st.markdown("")
+
+pages_name = ['Detection (ตรวจจับ)', 'Example image (ภาพตัวอย่าง)']
+page = st.radio('Select option mode :', pages_name)
+
+
+
+
+@st.cache
+def load_model(): 
+    reader = ocr.Reader(['en'],model_storage_directory='.')
+    return reader 
+
+reader = load_model() #load model
+
+#set default size as 1280 x 1280
+def img_resize(input_path,img_size): # padding
+  desired_size = img_size
+  im = Image.open(input_path)
+  im = ImageOps.exif_transpose(im) # fix image rotating
+  width, height = im.size # get img_input size
+  if (width == 1280) and (height == 1280):
+    new_im = im
+  else:
+    #im = im.convert('L') #Convert to gray
+    old_size = im.size  # old_size[0] is in (width, height) format
+    ratio = float(desired_size)/max(old_size)
+    new_size = tuple([int(x*ratio) for x in old_size])
+    im = im.resize(new_size, Image.ANTIALIAS)
+    new_im = Image.new("RGB", (desired_size, desired_size))
+    new_im.paste(im, ((desired_size-new_size[0])//2,
+                        (desired_size-new_size[1])//2))
+
+  return new_im
+
+def Get_OCR(input_image):
+  input_image = Image.open(input_image) #read image
+  with st.spinner("On working... "):
+
+      t1 = time.perf_counter()
+      result = reader.readtext(np.array(input_image))
+
+      result_text = [] #empty list for results
+
+
+      for text in result:
+          result_text.append(text[1])
+
+      st.write(result_text)
+      t2 = time.perf_counter()
+      st.write('time taken to run: {:.2f} sec'.format(t2-t1))
+  #st.success("Here you go!")
+
+
+def Get_Idcard_detail(file_path):
+  raw_data = []
+  id_num = {"id_num" : "None"}
+  name = file_path
+  img = Image.open(name)
+  img = ImageOps.exif_transpose(img) # fix image rotating
+
+  width, height = img.size # get img_input size
+  if (width == 1280) and (height == 1280):
+    result = reader.readtext(np.array(img))
+  else:
+    #im = im.convert('L') #Convert to gray
+    old_size = img.size  # old_size[0] is in (width, height) format
+    ratio = float(1280)/max(old_size)
+    new_size = tuple([int(x*ratio) for x in old_size])
+    img = img.resize(new_size, Image.ANTIALIAS)
+    new_im = Image.new("RGB", (1280, 1280))
+    new_im.paste(img, ((1280-new_size[0])//2,
+                        (1280-new_size[1])//2))
+    
+    result = reader.readtext(np.array(new_im))
+
+
+  
+
+  result_text = [] #empty list for results
+  for text in result:
+    result_text.append(text[1])
+
+
+  raw_data = result_text  
+
+
+
+  def get_english(raw_list): # Cut only english var
+    eng_name = []
+    thai_name = []
+
+    for name in raw_list:
+      if isthai(name) == True:
+        thai_name.append(name)
+      else:
+        eng_name.append(name)
+
+    return eng_name
+
+  raw_data = get_english(raw_data)
+
+
+  def Clear_syntax(raw_list):
+
+    Clean_syntax = ["","#","{","}","=","/","@","#","$","—","|","%","-","(",")","¥", "[", "]", "‘",':',';']
+
+    for k in range(len(Clean_syntax)):
+      while (Clean_syntax[k] in raw_list): # remove single symbol
+        raw_list.remove(Clean_syntax[k])
+
+    for l in range(len(raw_list)): 
+      raw_list[l] = raw_list[l].replace("!","l") #split ! --> l (Error OCR Check)
+      raw_list[l] = raw_list[l].replace(",",".") #split ! --> l (Error OCR Check)
+      raw_list[l] = raw_list[l].replace(" ","") #split " " out from str
+      raw_list[l] = raw_list[l].lower() #Set all string to lowercase
+
+    for m in range(len(raw_list)): #Clear symbol in str "Hi/'" --> "Hi"
+      for n in range(len(Clean_syntax)):
+          raw_list[m] = raw_list[m].replace(Clean_syntax[n],"") 
+    return raw_list
+
+  raw_data = Clear_syntax(raw_data)
+
+
+  def get_idnum(raw_list):
+    id_num = {"id_num" : "None"}
+    # 1. normal check 
+    for i in range(len(raw_list)): # check if len(list) = 1, 4, 5, 2, 1 (13 digit idcard) and all is int
+      try:
+        if ((len(raw_list[i]) == 1) and (len(raw_list[i+1]) == 4) and (len(raw_list[i+2]) == 5) and (len(raw_list[i+3]) == 2) and (len(raw_list[i+4]) == 1)) and ((raw_list[i] + raw_list[i+1] + raw_list[i+2] + raw_list[i+3] + raw_list[i+4]).isnumeric()):
+          id_num["id_num"] = (raw_list[i] + raw_list[i+1] + raw_list[i+2] + raw_list[i+3] + raw_list[i+4])
+          break 
+      except:
+        pass
+
+    # 2. Hardcore Check
+    if id_num["id_num"] == "None":
+      id_count = 0
+      index_first = 0
+      index_end = 0
+      for i in range(len(raw_list)):
+        if id_count == 13:
+          index_end = i-1 #ลบ 1 index เพราะ ครบ 13 รอบ��่อนหน้านี้
+          #print(f"index_first == {index_first} index_end == {index_end}")
+          #print(f"id = {raw_list[index_first:index_end+1]}")
+          id_num["id_num"] = ''.join(raw_list[index_first:index_end+1]) 
+          break
+        else:
+          if raw_list[i].isnumeric() == True and index_first == 0:
+            id_count += len(raw_list[i])
+            index_first = i
+          elif raw_list[i].isnumeric() == True and index_first != 0:
+            id_count += len(raw_list[i])
+          elif raw_list[i].isnumeric() == False:
+            id_count = 0
+            index_first = 0
+
+    return id_num
+
+  id_num = (get_idnum(raw_data))
+
+      #Complete list name check
+  def list_name_check(raw_list):
+    sum_list = raw_list
+    name_key = ['name', 'lastname']
+
+    #1. name_key check
+    if ("name" in sum_list) and ("lastname" in sum_list): # if name and lastname in list pass it!
+      pass
+    else:
+      for i in range(len(name_key)):
+        for j in range(len(sum_list)):
+          if (editdistance.eval(name_key[i], sum_list[j]) <= 2 ): 
+            sum_list[j] = name_key[i]
+
+    gender_key = ["mr.", "mrs.", 'master', 'miss']
+    #2 gender_key check
+    count = 0 # check for break
+    for i in range(len(gender_key)):
+      for j in range(len(sum_list)):
+        if (count == 0):
+          try:
+            if (sum_list[i] == "name") or (sum_list[i] == "lastname"): # skip "name" and "lastname"
+              pass
+            else:
+              # mr, mrs sensitive case double check with len(gender_key) == len(keyword)
+              if (gender_key[i] == "mr." or gender_key[i] == "mrs.") and (editdistance.eval(gender_key[i], sum_list[j]) <= 3 and (len(gender_key[i]) == len(sum_list[j]))): 
+                sum_list[j] = gender_key[i]
+                count+=1
+                #print(1)
+              elif (gender_key[i] == "master" or gender_key[i] == "miss") and (editdistance.eval(gender_key[i], sum_list[j]) <= 3 ) and (len(gender_key[i]) == len(sum_list[j])):
+                sum_list[j] = gender_key[i]
+                count+=1
+                #print(1)
+          except:
+            if (gender_key[i] == "mr." or gender_key[i] == "mrs.") and (editdistance.eval(gender_key[i], sum_list[j]) <= 2 and (len(gender_key[i]) == len(sum_list[j]))): 
+                sum_list[j] = gender_key[i]
+                count+=1
+                #print(1)
+            elif (gender_key[i] == "master" or gender_key[i] == "miss") and (editdistance.eval(gender_key[i], sum_list[j]) <= 3 ) and (len(gender_key[i]) == len(sum_list[j])):
+                sum_list[j] = gender_key[i]
+                count+=1
+                #print(1)
+        else:
+          break
+
+    return sum_list
+
+  raw_data = list_name_check(raw_data)
+
+  #get_eng_name
+  def get_engname(raw_list):
+    get_data = raw_list
+    engname_list = []
+
+    name_pos = [] 
+    lastname_pos = []
+    mr_pos = []
+    mrs_pos = []
+
+      # check keyword by name, lastname, master, mr, miss, mrs
+    for j in range(len(get_data)): #get "name" , "lastname" index
+      if "name" == get_data[j]:
+        name_pos.append(j)
+      elif "lastname" == get_data[j]:
+        lastname_pos.append(j)
+      elif ("mr." == get_data[j]) or ("master" == get_data[j]):
+        mr_pos.append(j)
+      elif ("miss" == get_data[j]) or ("mrs." == get_data[j]):
+        mrs_pos.append(j)
+
+
+    if len(name_pos) != 0: #get_engname ex --> ['name', 'master', 'tanaanan', 'lastname', 'chalermpan']
+      engname_list = get_data[name_pos[0]:name_pos[0]+6] # select first index กรณีมี "name" มากกว่า 1 ตัว
+    elif len(lastname_pos) != 0:
+      engname_list = get_data[lastname_pos[0]-3:lastname_pos[0]+3] 
+    elif len(mr_pos) != 0:
+      engname_list = get_data[mr_pos[0]-1:mr_pos[0]+5]
+    elif len(mrs_pos) != 0:
+      engname_list = get_data[mrs_pos[0]-1:mrs_pos[0]+5]
+    else:
+      print("Can't find eng name!!") 
+
+    return engname_list
+
+  raw_data = get_engname(raw_data)
+
+
+
+
+  def split_genkey(raw_list): # remove stringname + gender_key ex. "missjate" -> "jate"
+    data = raw_list
+    key = ['mrs.','mr.','master','miss']
+    name = "" #gen_key name
+    name_pos = 0
+    gen_index = 0
+    gen_type = "" #male / female
+    # check keyword
+    for key_val in key:
+        for each_text in data:
+            if (each_text[:len(key_val)] == key_val) or (editdistance.eval(each_text[:len(key_val)],key_val) <= 1 and (len(each_text[:len(key_val)]) == len(key_val))):
+                #each_text = each_text[len(key):]
+                if (each_text == "name") or (each_text == "lastname"):
+                  pass
+                else:
+                  name = (each_text[:len(key_val)])
+                  name_pos = data.index(each_text) # get_index
+                  gen_index = len(key_val)
+                  break
+    if (name_pos != 0): 
+      data[name_pos] = data[name_pos][gen_index:] # split gender_key on list
+      for empty_str in range(data.count('')): # clear "empty string"
+        data.remove('')
+    return data
+
+  raw_data = split_genkey(raw_data)
+
+
+  def clean_name_data(raw_list): # delete all single string and int string
+    for k in range(len(raw_list)):
+      try:
+        while ((len(raw_list[k]) <= 2) or (raw_list[k].isnumeric() == True)): # remove single symbol
+          raw_list.remove(raw_list[k])
+      except IndexError:
+        pass
+    return raw_list
+
+  raw_data = clean_name_data(raw_data)
+
+
+  def name_sum(raw_list):
+    info = {"name" : "None",
+            "lastname" : "None"}
+    key = ['mr.','mrs.', 'master', 'miss', 'mrs','mr']
+    name_pos = 0
+    lastname_pos = 0
+    for key_val in key: # remove gender_key in string
+      if key_val in raw_list:
+        raw_list.remove(key_val)
+    try:
+      for i in range(len(raw_list)):
+        if raw_list[i] == "name":
+          info["name"] = raw_list[i+1]
+          name_pos = i+1
+        elif raw_list[i] == "lastname":
+          info["lastname"] = raw_list[i+1]
+          lastname_pos = i+1
+    except:
+      pass
+
+    # กรณี หาอย่างใดอย่าหนึ่งเจอให้ลองข้ามไปดู 1 index name, "name_val", lastname , "lastname_val"
+    if (info["name"] != "None") and (info["lastname"] == "None"):
+      try:
+        info["lastname"] = raw_list[name_pos+2]
+      except:
+        pass
+    elif (info["lastname"] != "None") and (info["name"] == "None"):
+      try:
+        info["name"] = raw_list[lastname_pos-2]
+      except:
+        pass
+
+    # remove . on "mr." and "mrs."
+    info["name"] = info["name"].replace(".","")
+    info["lastname"] = info["lastname"].replace(".","")
+
+
+    return info
+
+  st.success("Process Completed!.....")
+  st.write(id_num)
+  st.write(name_sum(raw_data))
+
+
+if page == "Detection (ตรวจจับ)":
+  #image uploader
+  image = st.file_uploader(label = "upload Idcard image here.. OwO",type=['png','jpg','jpeg'])
+
+  if image is not None:
+    new_img = img_resize(image, 1280)
+    st.image(new_img)
+
+    #Get_OCR(image)
+    with st.spinner("On working..."):
+
+      t1 = time.perf_counter()
+      Get_Idcard_detail(image)
+      t2 = time.perf_counter()
+      st.write('time taken to run: {:.2f} sec'.format(t2-t1))
+    
+  else:
+    st.write("## Waiting for image.. U w U")
+    st.image('spy-x-family-anya-heh-anime.jpg')
+
+  st.warning("""ระบบไม่มีการเก็บข้อมูลบัตรประชาชนจากผู้ใช้งาน ใช้ในการศึกษา และ เป็นแนวทางในการพัฒนาต่อเท่านั้น \n 
+(No data kept in this system used for education and development guildlines only)""")
+else:
+  image = "./id_ex.jpg"
+  new_img = img_resize(image, 1280)
+  st.image(new_img)
+
+  #Get_OCR(image)
+  with st.spinner("On working..."):
+
+    t1 = time.perf_counter()
+    Get_Idcard_detail(image)
+    t2 = time.perf_counter()
+    st.write('time taken to run: {:.2f} sec'.format(t2-t1))
+
+  st.warning("""ภาพตัวอย่างบัตรประชาชนเป็นภาพสังเคราะห์ที่ได้มาจาก [AI for Thai.](https://aiforthai.in.th/files/iappIDcr-front-ex.jpg) \n 
+  Example Identification Card is synthetic image from  [AI for Thai.](https://aiforthai.in.th/files/iappIDcr-front-ex.jpg)""")
+
+
+
+st.caption("Developed by Tanaanan .M [email protected]")