Update app.py

app.py

@@ -2,12 +2,8 @@ import streamlit as st  #Web App
 from PIL import Image, ImageOps #Image Processing
 import time
 from unittest import result
-from pythainlp.util import isthai
-import numpy as np
 from icevision.all import *
 from icevision.models.checkpoint import *
-import easyocr as ocr  #OCR
-import editdistance
 
 
 st.sidebar.image("./logo.png")
@@ -17,16 +13,17 @@ def load_image(image_file):
     return img
 
 
-activities = ["Detection", "About"]
-choice = st.sidebar.selectbox("Select option..",activities)
 
-#set default size as 1280 x 1280
+activities = ["Detection (วิเคราะห์โรค)", "About (เกี่ยวกับ)"]
+choice = st.sidebar.selectbox("Select option.. (เลือกโหมด)",activities)
+
+#set default size as image_scale x image_scale
 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):
+  if (width == image_scale) and (height == image_scale):
     new_im = im
   else:
     #im = im.convert('L') #Convert to gray
@@ -61,23 +58,25 @@ device=next(model.parameters()).device
 img_size = checkpoint_and_model["img_size"]
 valid_tfms = tfms.A.Adapter([*tfms.A.resize_and_pad(img_size), tfms.A.Normalize()])
 
+image_scale = 768 # change image input / ouput size here
+
 def get_detection(img_path):
  
   #Get_Idcard_detail(file_path=img_path)
   img = Image.open(img_path)
   img = ImageOps.exif_transpose(img) # fix image rotating
   width, height = img.size # get img_input size
-  if (width == 1280) and (height == 1280):
+  if (width == image_scale) and (height == image_scale):
     pred_dict  = model_type.end2end_detect(img, valid_tfms, model, class_map=class_map, detection_threshold=0.6)
   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)
+    ratio = float(image_scale)/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))
+    new_im = Image.new("RGB", (image_scale, image_scale))
+    new_im.paste(img, ((image_scale-new_size[0])//2,
+                        (image_scale-new_size[1])//2))
     pred_dict  = model_type.end2end_detect(new_im, valid_tfms, model, class_map=class_map, detection_threshold=0.6)
 
 
@@ -91,9 +90,10 @@ def get_detection(img_path):
     acc = acc * 100
     if labels == "Neg":
       labels = "Negative"
+      st.success(f"Result : {labels} with {round(acc, 2)}% confidence.")
     elif labels == "Pos":
       labels = "Positive"
-    st.success(f"Result : {labels} with {round(acc, 2)}% confidence.")
+      st.error(f"Result : {labels} with {round(acc, 2)}% confidence.")
   except IndexError:
     st.error("Not found ATK image! ; try to take image again..")
     labels = "None"
@@ -105,314 +105,30 @@ def get_img_detection(img_path):
   img = Image.open(img_path)
   img = ImageOps.exif_transpose(img) # fix image rotating
   width, height = img.size # get img_input size
-  if (width == 1280) and (height == 1280):
+  if (width == image_scale) and (height == image_scale):
     new_im = 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)
+    ratio = float(image_scale)/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))
+    new_im = Image.new("RGB", (image_scale, image_scale))
+    new_im.paste(img, ((image_scale-new_size[0])//2,
+                        (image_scale-new_size[1])//2))
   
   pred_dict  = model_type.end2end_detect(new_im, valid_tfms, model, class_map=class_map, detection_threshold=0.6)
 
 
   return pred_dict['img']
 
-def load_model(): 
-    reader = ocr.Reader(['en'],model_storage_directory='.')
-    return reader 
-
-reader = load_model() #load model
-
-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 รอบก่อนหน้านี้
-          #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.subheader("Process Completed!.....")
-  st.write(id_num)
-  st.write(name_sum(raw_data))
-
-
-
-
-if choice =='About' :
-    st.header("About...")
+if choice =='About (เกี่ยวกับ)' :
+    st.header("About... (เกี่ยวกับ)")
 
     st.subheader("AOC คืออะไร ?")
     st.write("- เป็นระบบที่สามารถคัดกรองผลตรวจเชื้อของ COVID-19 ได้ผ่าน ที่ตรวจ ATK (Antigen Test Kit) ควบคู่กับบัตรประชาชน จากรูปภาพได้โดยอัตโนมัติ")
@@ -441,49 +157,25 @@ if choice =='About' :
     
      
        
-elif choice == "Detection":
+elif choice == "Detection (วิเคราะห์โรค)":
     st.header(" Antigen test kit + Identification card detector.")
-    pages_name = ['ATK + Idcard Detect', 'ATK Detect', 'Idcard Detect']
-    page = st.radio('Select option mode :', pages_name)
 
     image = st.file_uploader(label = "upload ATK + Idcard img here.. OwO",type=['png','jpg','jpeg'])
     if image is not None:
         new_img = img_resize(image, 1280)
-        if page == "ATK + Idcard Detect":
-            st.image(get_img_detection(image))
-            with st.spinner("🤖 ATK + Idcard Working... "):
-
-                t1 = time.perf_counter()
-                Get_Idcard_detail(image)
-                get_detection(image)
-                t2 = time.perf_counter()
-                st.write('time taken to run: {:.2f} sec'.format(t2-t1))
-
-        elif page == "ATK Detect":
-            st.image(get_img_detection(image))
-            with st.spinner("🤖 ATK Working... "):
-                t1 = time.perf_counter()
-                st.subheader("Process Completed!.....")
-                get_detection(image)
-                t2 = time.perf_counter()
-                st.write('time taken to run: {:.2f} sec'.format(t2-t1))
-
-        elif page == "Idcard Detect":
-            st.image(new_img)
-            with st.spinner("🤖 Idcard 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.image(get_img_detection(image))
+        with st.spinner("🤖 On Working... "):
+            t1 = time.perf_counter()
+            st.subheader("Process Completed!.....")
+            get_detection(image)
+            t2 = time.perf_counter()
+            st.write('time taken to run: {:.2f} sec'.format(t2-t1))
     else:
         st.write("## Waiting for image..")
         st.image('atk_idcard.jpeg')
 
+    st.warning("[On debugging..] ในตอนนี้ระบบ AOC ที่เป็น Obj detection สามารถใช้ได้แค่ตรวจจับ ATK  (กำลังอยู่ในการพัฒนาให้สามารถใช้งานควบคู่กับระบบ OCR บัตรประชาชน)")
+
     st.caption("Made by Tanaanan .M")
 
 
@@ -506,4 +198,4 @@ st.sidebar.write('[Google form](https://forms.gle/zYpYFKcTpBoFGxN58)')
 
 st.sidebar.markdown('---')
 st.sidebar.subheader('Made by Tanaanan .M')
-st.sidebar.write("Contact : [email protected]")
+st.sidebar.write("Contact : [email protected]")