Improve screen reading filtering again x2

owocr/run.py

@@ -13,7 +13,6 @@ import asyncio
 import websockets
 import queue
 import io
-import unicodedata
 
 from PIL import Image
 from PIL import UnidentifiedImageError
@@ -122,6 +121,43 @@ class WebsocketServerThread(threading.Thread):
         self.loop.close()
 
 
+class TextFiltering:
+    accurate_filtering = False
+
+    def __init__(self):
+        self.segmenter = Segmenter(language='ja', clean=True)
+        try:
+            from transformers import pipeline, AutoTokenizer
+            model_ckpt = 'papluca/xlm-roberta-base-language-detection'
+            tokenizer = AutoTokenizer.from_pretrained(
+                model_ckpt,
+                use_fast = False
+            )
+            self.pipe = pipeline('text-classification', model=model_ckpt, tokenizer=tokenizer)
+            self.accurate_filtering = True
+        except:
+            import langid
+            self.classify = langid.classify
+
+    def __call__(self, text, last_text):
+        orig_text = self.segmenter.segment(text)
+        new_blocks = [block for block in orig_text if block not in last_text]
+        final_blocks = []
+        if self.accurate_filtering:
+            detection_results = self.pipe(new_blocks, top_k=2, truncation=True)
+            for idx, block in enumerate(new_blocks):
+                if((detection_results[idx][0]['label'] == 'ja' and detection_results[idx][0]['score'] >= 0.85) or
+                   (detection_results[idx][1]['label'] == 'ja' and detection_results[idx][1]['score'] >= 0.85)):
+                    final_blocks.append(block)
+        else:
+            for block in new_blocks:
+                if self.classify(block)[0] == 'ja':
+                    final_blocks.append(block)
+
+        text = '\n'.join(final_blocks)
+        return text, orig_text
+
+
 def user_input_thread_run(engine_instances, engine_keys):
     def _terminate_handler(user_input):
         global terminated
@@ -254,12 +290,7 @@ def are_images_identical(img1, img2):
     return (img1.shape == img2.shape) and (img1 == img2).all()
 
 
-def is_japanese(text):
+def process_and_write_results(engine_instance, img_or_path, write_to, enable_filtering, last_text, filtering):
-    japanese_count = sum(1 for char in text if 'HIRAGANA' in unicodedata.name(char) or 'KATAKANA' in unicodedata.name(char) or 'CJK UNIFIED' in unicodedata.name(char))    
-    return japanese_count / len(text) >= 0.7
-
-
-def process_and_write_results(engine_instance, img_or_path, write_to, enable_filtering, last_text, segmenter):
     t0 = time.time()
     res, text = engine_instance(img_or_path)
     t1 = time.time()
@@ -268,8 +299,7 @@ def process_and_write_results(engine_instance, img_or_path, write_to, enable_fil
     engine_color = config.get_general('engine_color')
     if res:
         if enable_filtering:
-            orig_text = segmenter.segment(text)
+            text, orig_text = filtering(text, last_text)
-            text = '\n'.join([block for block in orig_text if (block not in last_text and is_japanese(block))])
         text = post_process(text)
         logger.opt(ansi=True).info(f'Text recognized in {t1 - t0:0.03f}s using <{engine_color}>{engine_instance.readable_name}</{engine_color}>: {text}')
         if config.get_general('notifications'):
@@ -482,8 +512,8 @@ def run(read_from=None,
 
         global sct_params
         sct_params = {'top': coord_top, 'left': coord_left, 'width': coord_width, 'height': coord_height, 'mon': screen_capture_monitor}
-        segmenter = Segmenter(language="ja", clean=True)
 
+        filtering = TextFiltering()
         logger.opt(ansi=True).info(f"Reading with screen capture using <{engine_color}>{engine_instances[engine_index].readable_name}</{engine_color}>{' (paused)' if paused else ''}")
     else:
         read_from = Path(read_from)
@@ -581,7 +611,7 @@ def run(read_from=None,
             if take_screenshot and screencapture_window_visible:
                 sct_img = sct.grab(sct_params)
                 img = Image.frombytes('RGB', sct_img.size, sct_img.bgra, 'raw', 'BGRX')
-                res = process_and_write_results(engine_instances[engine_index], img, write_to, True, last_text, segmenter)
+                res = process_and_write_results(engine_instances[engine_index], img, write_to, True, last_text, filtering)
                 if res != '':
                     last_text = res
                 delay = screen_capture_delay_secs