fixes

main.py

@@ -6,6 +6,7 @@ import multiprocessing
 from utils import Path_utils
 from utils import os_utils
 from pathlib import Path
+from interact import interact as io
 
 if sys.version_info[0] < 3 or (sys.version_info[0] == 3 and sys.version_info[1] < 6):
     raise Exception("This program requires at least Python 3.6")
@@ -134,10 +135,12 @@ if __name__ == "__main__":
             Util.restore_faceset_metadata_folder (input_path=arguments.input_dir)
             
         if arguments.pack_faceset:            
+            io.log_info ("Performing faceset packing...\r\n")
             from samplelib import PackedFaceset
             PackedFaceset.pack( Path(arguments.input_dir) )
 
         if arguments.unpack_faceset:
+            io.log_info ("Performing faceset unpacking...\r\n")
             from samplelib import PackedFaceset
             PackedFaceset.unpack( Path(arguments.input_dir) )
             

samplelib/PackedFaceset.py

@@ -21,8 +21,6 @@ class PackedFaceset():
             io.log_info(f"{samples_dat_path} : file already exists !")
             io.input_bool("Press enter to continue and overwrite.", False)
 
-        of = open(samples_dat_path, "wb")
-
         as_person_faceset = False
         dir_names = Path_utils.get_all_dir_names(samples_path)
         if len(dir_names) != 0:
@@ -36,12 +34,11 @@ class PackedFaceset():
         else:
             image_paths = Path_utils.get_image_paths(samples_path)
 
-
         samples = samplelib.SampleHost.load_face_samples(image_paths)
         samples_len = len(samples)
 
         samples_configs = []
-        for sample in samples:
+        for sample in io.progress_bar_generator (samples, "Processing"):
             sample_filepath = Path(sample.filename)
             sample.filename = sample_filepath.name
 
@@ -50,10 +47,14 @@ class PackedFaceset():
             samples_configs.append ( sample.get_config() )
         samples_bytes = pickle.dumps(samples_configs, 4)
 
+        of = open(samples_dat_path, "wb")
         of.write ( struct.pack ("Q", PackedFaceset.VERSION ) )
         of.write ( struct.pack ("Q", len(samples_bytes) ) )
         of.write ( samples_bytes )
 
+        del samples_bytes   #just free mem
+        del samples_configs
+
         sample_data_table_offset = of.tell()
         of.write ( bytes( 8*(samples_len+1) ) ) #sample data offset table
 
@@ -67,15 +68,13 @@ class PackedFaceset():
                 else:
                     sample_path = samples_path / sample.filename
 
+
                 with open(sample_path, "rb") as f:
                    b = f.read()
 
                 offsets.append ( of.tell() - data_start_offset )
                 of.write(b)
             except:
-                import code
-                code.interact(local=dict(globals(), **locals()))
-
                 raise Exception(f"error while processing sample {sample_path}")
 
         offsets.append ( of.tell() )
@@ -86,11 +85,11 @@ class PackedFaceset():
         of.seek(0,2)
         of.close()
 
-        for filename in io.progress_bar_generator(image_paths,"Deleting"):
+        for filename in io.progress_bar_generator(image_paths, "Deleting files"):
             Path(filename).unlink()
 
         if as_person_faceset:
-            for dir_name in dir_names:
+            for dir_name in io.progress_bar_generator(dir_names, "Deleting dirs"):
                 dir_path = samples_path / dir_name
                 try:
                     shutil.rmtree(dir_path)

samplelib/SampleHost.py

@@ -92,8 +92,7 @@ class SampleHost:
                   ie_polys,
                   eyebrows_expand_mod,
                   source_filename,                    
-                    
-                ) in io.progress_bar_generator(result, "Processing"):
+                ) in result:
             sample_list.append( Sample(filename=filename,
                                         sample_type=SampleType.FACE,
                                         face_type=FaceType.fromString (face_type),
@@ -105,31 +104,6 @@ class SampleHost:
                                     ))
         return sample_list
 
-        """
-        sample_list = []
-
-        for filename in io.progress_bar_generator(image_paths, "Loading"):
-            filename_path = Path(filename)
-            try:
-                dflimg = DFLIMG.load (filename_path)                    
-
-                
-                
-                sample_list.append( Sample(filename=filename,
-                                           sample_type=SampleType.FACE,
-                                           face_type=FaceType.fromString (dflimg.get_face_type()),
-                                           shape=dflimg.get_shape(),
-                                           landmarks=dflimg.get_landmarks(),
-                                           ie_polys=dflimg.get_ie_polys(),
-                                           eyebrows_expand_mod=dflimg.get_eyebrows_expand_mod(),
-                                           source_filename=dflimg.get_source_filename(),                                       
-                                        ))
-            except:
-                io.log_err ("Unable to load %s , error: %s" % (filename, traceback.format_exc() ) )
-
-        return sample_list
-        """
-
     @staticmethod
     def upgradeToFaceTemporalSortedSamples( samples ):
         new_s = [ (s, s.source_filename) for s in samples]

utils/mp_utils.py

@@ -4,7 +4,6 @@ import time
 
 import numpy as np
 
-
 class Index2DHost():  
     """
     Provides random shuffled 2D indexes for multiprocesses