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mainscripts/XSegUtil.py

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+import traceback
+import json
+from pathlib import Path
+import numpy as np
+
+from core import pathex
+from core.imagelib import IEPolys
+from core.interact import interact as io
+from DFLIMG import *
+
+
+def merge(input_dir):
+    input_path = Path(input_dir)
+    if not input_path.exists():
+        raise ValueError('input_dir not found. Please ensure it exists.')
+
+    images_paths = pathex.get_image_paths(input_path, return_Path_class=True)
+
+    images_processed = 0
+    for filepath in io.progress_bar_generator(images_paths, "Processing"):
+        json_filepath = filepath.parent / (filepath.stem+'.json')
+        if json_filepath.exists():
+            dflimg = DFLIMG.load(filepath)
+            if dflimg is not None:
+                try:
+                    json_dict = json.loads(json_filepath.read_text())
+
+                    seg_ie_polys = IEPolys()
+                    total_points = 0
+
+                    #include polys first
+                    for shape in json_dict['shapes']:
+                        if shape['shape_type'] == 'polygon' and \
+                           shape['label'] != '0':
+                            seg_ie_poly = seg_ie_polys.add(1)
+
+                            for x,y in shape['points']:
+                                seg_ie_poly.add( int(x), int(y) )
+                                total_points += 1
+
+                    #exclude polys
+                    for shape in json_dict['shapes']:
+                        if shape['shape_type'] == 'polygon' and \
+                           shape['label'] == '0':
+                            seg_ie_poly = seg_ie_polys.add(0)
+
+                            for x,y in shape['points']:
+                                seg_ie_poly.add( int(x), int(y) )
+                                total_points += 1
+
+                    if total_points == 0:
+                        io.log_info(f"No points found in {json_filepath}, skipping.")
+                        continue
+
+                    dflimg.embed_and_set (filepath, seg_ie_polys=seg_ie_polys)
+
+                    json_filepath.unlink()
+
+                    images_processed += 1
+                except:
+                    io.log_err(f"err {filepath}, {traceback.format_exc()}")
+                    return
+
+    io.log_info(f"Images processed: {images_processed}")
+
+def split(input_dir ):
+    input_path = Path(input_dir)
+    if not input_path.exists():
+        raise ValueError('input_dir not found. Please ensure it exists.')
+
+    images_paths = pathex.get_image_paths(input_path, return_Path_class=True)
+
+    images_processed = 0
+    for filepath in io.progress_bar_generator(images_paths, "Processing"):
+        json_filepath = filepath.parent / (filepath.stem+'.json')
+
+
+        dflimg = DFLIMG.load(filepath)
+        if dflimg is not None:
+            try:
+                seg_ie_polys = dflimg.get_seg_ie_polys()
+                if seg_ie_polys is not None:                    
+                    json_dict = {}
+                    json_dict['version'] = "4.2.9"
+                    json_dict['flags'] = {}
+                    json_dict['shapes'] = []
+                    json_dict['imagePath'] = filepath.name
+                    json_dict['imageData'] = None
+
+                    for poly_type, points_list in seg_ie_polys:
+                        shape_dict = {}
+                        shape_dict['label'] = str(poly_type)
+                        shape_dict['points'] = points_list
+                        shape_dict['group_id'] = None
+                        shape_dict['shape_type'] = 'polygon'
+                        shape_dict['flags'] = {}
+                        json_dict['shapes'].append( shape_dict )
+
+                    json_filepath.write_text( json.dumps (json_dict,indent=4) )
+
+                    dflimg.remove_seg_ie_polys()
+                    dflimg.embed_and_set (filepath)
+                    images_processed += 1
+            except:
+                io.log_err(f"err {filepath}, {traceback.format_exc()}")
+                return
+
+    io.log_info(f"Images processed: {images_processed}")