Upload filter_pt_data.py

filter_pt_data.py

@@ -0,0 +1,40 @@
+import json
+
+
+def load_json(file_path):
+    with open(file_path, "r") as f:
+        return json.load(f)
+
+
+def save_json(data, file_path):
+    with open(file_path, "w") as f:
+        json.dump(data, f, indent=4)
+
+
+def main():
+    # 1,246,901
+    sharegpt4_pt = load_json(
+        "data/ShareGPT4V-PT/share-captioner_coco_lcs_sam_1246k_1107.json")
+
+    # sharegpt4v_pt_sam = [a for a in sharegpt4_pt if "sam/" in a["image"]]
+    sharegpt4v_pt_coco = [a for a in sharegpt4_pt if "coco/" in a["image"]]
+    sharegpt4v_pt_llava = [a for a in sharegpt4_pt if "llava/" in a["image"]]
+
+    data_pt = sharegpt4v_pt_coco + sharegpt4v_pt_llava
+    print(f"data_pt: {len(data_pt)}")
+
+    sharegpt4v = load_json(
+        "data/ShareGPT4V-PT/sharegpt4v_instruct_gpt4-vision_cap100k.json")
+    sharegpt4v_dict = {ann['image']: ann for ann in sharegpt4v}
+
+    for datum in data_pt:
+        if datum['image'] in sharegpt4v_dict:
+            datum['conversations'] = sharegpt4v_dict[datum['image']][
+                'conversations']
+
+    save_json(data_pt,"data/sharegpt4v_filtered_676k.json")
+
+
+if __name__ == '__main__':
+    main()
+