Added faceset resize tool via

4.2) data_src util faceset resize.bat
5.2) data_dst util faceset resize.bat

Resize faceset to match model resolution to reduce CPU load during training.

Don’t forget to keep original faceset.

core/imagelib/SegIEPolys.py

@@ -77,6 +77,8 @@ class SegIEPoly():
         self.pts = np.array(pts)
         self.n_max = self.n = len(pts)
         
+    def mult_points(self, val):
+        self.pts *= val       
     
         
 
@@ -137,6 +139,10 @@ class SegIEPolys():
     def dump(self):
         return {'polys' : [ poly.dump() for poly in self.polys ] }
     
+    def mult_points(self, val):
+        for poly in self.polys:
+            poly.mult_points(val)
+        
     @staticmethod
     def load(data=None):
         ie_polys = SegIEPolys()

main.py

@@ -255,6 +255,16 @@ if __name__ == "__main__":
 
     p.set_defaults(func=process_faceset_enhancer)
     
+    
+    p = facesettool_parser.add_parser ("resize", help="Resize DFL faceset.")
+    p.add_argument('--input-dir', required=True, action=fixPathAction, dest="input_dir", help="Input directory of aligned faces.")
+
+    def process_faceset_resizer(arguments):
+        osex.set_process_lowest_prio()
+        from mainscripts import FacesetResizer
+        FacesetResizer.process_folder ( Path(arguments.input_dir) )
+    p.set_defaults(func=process_faceset_resizer)
+    
     def process_dev_test(arguments):
         osex.set_process_lowest_prio()
         from mainscripts import dev_misc