first version of pdftoimage and ocr

DUDE_imdb_loader.py

@@ -193,9 +193,9 @@ def parse_azure_box(box, page_width, page_height):
     return [left, width, top, height]
 
 
-def get_ocr_information(doc_id):
-    ocr_info = load_json(os.path.join(ocr_dir, doc_id + "_original.json"))
-    num_pages, _ = get_document_metadata(documents_metadata, doc_id, documents[doc_id])
+def get_ocr_information(ocr_path, num_pages):
+    ocr_info = load_json(ocr_path)
+    #num_pages, _ = get_document_metadata(documents_metadata, doc_id, documents[doc_id])
 
     page_ocr_tokens = [[] for page_ix in range(num_pages)]
     page_ocr_boxes = [[] for page_ix in range(num_pages)]
@@ -303,14 +303,19 @@ if __name__ == "__main__":
 
     split = "val"
 
-
-    # 1. PDF to image dir and collect document metadata (num_pages, page_image_names)
-
-    document_paths = sorted(
-        set([x["document"] for x in dataset[split] if x["data_split"] == split])
-    )
+    OCR_paths = []
+    document_paths = []
+    for i, x in enumerate(dataset):
+        if x["data_split"] != split:
+            continue
+        if x["document"] not in document_paths:
+            document_paths.append(x["document"])
+            OCR_paths.append(x["OCR"])
 
     document_paths = document_paths[:30]
+    OCR_paths = OCR_paths[:30]
+
+    # 1. PDF to image dir and collect document metadata (num_pages, page_image_names)
 
     # document_ids = [document_filepath.split("/")[-1].replace(".pdf", "") for document_filepath in document_paths]
     documents_metadata_filename = "documents_metadata.json"
@@ -328,7 +333,7 @@ if __name__ == "__main__":
         ]
         print(
             "chunksize",
-            len(set([doc_id for doc_block in documents_blocks for doc_id in doc_block])),
+            len(set([docId for doc_block in documents_blocks for docId in doc_block])),
         )
         parallel_results = Parallel(n_jobs=num_jobs)(
             delayed(get_document_metadata_block)(documents_metadata, documents, document_paths[i])
@@ -336,13 +341,13 @@ if __name__ == "__main__":
         )
 
         for block_result in parallel_results:
-            for doc_id, metadata in tqdm(block_result.items()):
-                if doc_id not in documents_metadata:
-                    documents_metadata[doc_id] = metadata
+            for docId, metadata in tqdm(block_result.items()):
+                if docId not in documents_metadata:
+                    documents_metadata[docId] = metadata
 
         save_json(documents_metadata_filename, documents_metadata)
 
-    #2. Process OCR to obtain doc_ocr_info 
+    # 2. Process OCR to obtain doc_ocr_info
     documents_ocr_filename = "documents_ocr.json"
 
     if os.path.exists(documents_ocr_filename):
@@ -352,18 +357,20 @@ if __name__ == "__main__":
         no_ocr = []
         error_ocr = []
 
-        for document_filepath in document_paths:
+        for i, document_filepath in enumerate(document_paths):
             docId = document_filepath.split("/")[-1].replace(".pdf", "")
         try:
-            ocr_tokens, ocr_boxes = get_ocr_information(docId)
-            doc_ocr_info[docId] = {'ocr_tokens': ocr_tokens, 'ocr_boxes': ocr_boxes}
+            ocr_tokens, ocr_boxes = get_ocr_information(OCR_paths[i], documents_metadata[docId]["num_pages"])
+            doc_ocr_info[docId] = {"ocr_tokens": ocr_tokens, "ocr_boxes": ocr_boxes}
         except FileNotFoundError:
             no_ocr.append(docId)
         except KeyError:
             error_ocr.append(docId)
-            
+
         save_json(documents_ocr_filename, documents_ocr_info)
 
+    import pdb; pdb.set_trace()  # breakpoint 930f4f6a //
+    
     # page_image_dir = '/'.join(dataset['val']['document'][0].split("/")[:-1]).replace('PDF', 'images')
     # if not os.path.exists(page_image_dir):
     #     os.makedirs(page_image_dir)
@@ -387,7 +394,7 @@ if __name__ == "__main__":
     # doc_ocr_info
 
     # dict to unique docs
-    # documents_metadata[doc_id] = {"num_pages": num_pages, "page_image_names": image_names}
+    # documents_metadata[docId] = {"num_pages": num_pages, "page_image_names": image_names}
     # doc_ocr_info[doc_id] = {"ocr_tokens": ocr_tokens, "ocr_boxes": ocr_boxes}
 
     """