优化批量图片识别

.gitignore

@@ -0,0 +1 @@
+.env

chyoso_toolkit_ui.py

@@ -1,3 +1,4 @@
+import PIL
 import gradio as gr
 import subprocess
 import os
@@ -199,18 +200,27 @@ def run_ocr(image):
     return content
 
 
-def ocr_image(image):
+def ocr_image(image, user_query=""):
-    # 将图片转换为 base64 编码
+    # 压缩图片并降低分辨率
+    max_size = 1600
+    aspect_ratio = image.width / image.height
+    if aspect_ratio > 1:  # 宽度大于高度
+        new_size = (max_size, int(max_size / aspect_ratio))
+    else:  # 高度大于或等于宽度
+        new_size = (int(max_size * aspect_ratio), max_size)
+    compressed_image = image.resize(new_size, PIL.Image.Resampling.LANCZOS)
     buffered = io.BytesIO()
-    image.save(buffered, format="JPEG")
+
+    compressed_image.save(buffered, format="JPEG", quality=75)  # 设置JPEG质量为85
     image_base64 = base64.b64encode(buffered.getvalue()).decode("utf-8")
+    print(f"Base64 字符串长度: {len(image_base64) / 1024:.2f} k")
     messages = [
         {
             "role": "user",
             "content": [
                 {
                     "type": "text",
-                    "text": "识别图片中的文字并以纯文本(txt)格式输出"
+                    "text": "识别图片中的文字并以纯文本(txt)格式输出，如果图片分为左右两栏，则先输出左边栏再输出右边栏的内容。" + user_query
                 },
                 {
                     "type": "image_url",
@@ -234,12 +244,12 @@ def ocr_image(image):
     return chat_completion.choices[0].message.content
 
 
-def batch_ocr(files):
+def batch_ocr(files, user_query):
     results = []
     for file in files:
         try:
             image = Image.open(file)
-            ocr_result = ocr_image(image)
+            ocr_result = ocr_image(image, user_query)
             results.append(f"\n\n{ocr_result}\n\n")
         except Exception as e:
             print(e)
@@ -334,9 +344,11 @@ with gr.Blocks() as iface:
                     output_file = gr.File(label="Download OCR Results")
             with gr.Row():
                 process_button = gr.Button("Process Images")
+            with gr.Row():
+                user_query_text = gr.Textbox(placeholder="输入额外的要求")
 
             # 绑定按钮点击事件
-            process_button.click(batch_ocr, inputs=input_files, outputs=output_file)
+            process_button.click(batch_ocr, inputs=[input_files, user_query_text], outputs=output_file)
 
     iface.load(fn=update_log_output, outputs=[log_output], every=1)