diff --git a/samplelib/SampleGeneratorBase.py b/samplelib/SampleGeneratorBase.py
index 19d02b3..6e60160 100644
--- a/samplelib/SampleGeneratorBase.py
+++ b/samplelib/SampleGeneratorBase.py
@@ -6,11 +6,7 @@ You can implement your own SampleGenerator
 class SampleGeneratorBase(object):
 
 
-    def __init__ (self, samples_path, debug=False, batch_size=1):
-        if samples_path is None:
-            raise Exception('samples_path is None')
-
-        self.samples_path = Path(samples_path)
+    def __init__ (self, debug=False, batch_size=1):
         self.debug = debug
         self.batch_size = 1 if self.debug else batch_size
         self.last_generation = None
diff --git a/samplelib/SampleGeneratorFace.py b/samplelib/SampleGeneratorFace.py
index f386797..c91337e 100644
--- a/samplelib/SampleGeneratorFace.py
+++ b/samplelib/SampleGeneratorFace.py
@@ -30,7 +30,7 @@ class SampleGeneratorFace(SampleGeneratorBase):
                         raise_on_no_data=True,
                         **kwargs):
 
-        super().__init__(samples_path, debug, batch_size)
+        super().__init__(debug, batch_size)
         self.sample_process_options = sample_process_options
         self.output_sample_types = output_sample_types
         self.add_sample_idx = add_sample_idx
@@ -40,7 +40,7 @@ class SampleGeneratorFace(SampleGeneratorBase):
         else:
             self.generators_count = max(1, generators_count)
 
-        samples = SampleLoader.load (SampleType.FACE, self.samples_path)
+        samples = SampleLoader.load (SampleType.FACE, samples_path)
         self.samples_len = len(samples)
 
         self.initialized = False
diff --git a/samplelib/SampleGeneratorFacePerson.py b/samplelib/SampleGeneratorFacePerson.py
index ba69f44..a72cf59 100644
--- a/samplelib/SampleGeneratorFacePerson.py
+++ b/samplelib/SampleGeneratorFacePerson.py
@@ -26,14 +26,14 @@ class SampleGeneratorFacePerson(SampleGeneratorBase):
                         person_id_mode=1,
                         **kwargs):
 
-        super().__init__(samples_path, debug, batch_size)
+        super().__init__(debug, batch_size)
         self.sample_process_options = sample_process_options
         self.output_sample_types = output_sample_types
         self.person_id_mode = person_id_mode
 
         raise NotImplementedError("Currently SampleGeneratorFacePerson is not implemented.")
 
-        samples_host = SampleLoader.mp_host (SampleType.FACE, self.samples_path)
+        samples_host = SampleLoader.mp_host (SampleType.FACE, samples_path)
         samples = samples_host.get_list()
         self.samples_len = len(samples)
 
diff --git a/samplelib/SampleGeneratorFaceTemporal.py b/samplelib/SampleGeneratorFaceTemporal.py
index 5ffb8e4..2137476 100644
--- a/samplelib/SampleGeneratorFaceTemporal.py
+++ b/samplelib/SampleGeneratorFaceTemporal.py
@@ -20,7 +20,7 @@ class SampleGeneratorFaceTemporal(SampleGeneratorBase):
                         output_sample_types=[],
                         generators_count=2,
                         **kwargs):
-        super().__init__(samples_path, debug, batch_size)
+        super().__init__(debug, batch_size)
 
         self.temporal_image_count = temporal_image_count
         self.sample_process_options = sample_process_options
@@ -31,7 +31,7 @@ class SampleGeneratorFaceTemporal(SampleGeneratorBase):
         else:
             self.generators_count = generators_count
 
-        samples = SampleLoader.load (SampleType.FACE_TEMPORAL_SORTED, self.samples_path)
+        samples = SampleLoader.load (SampleType.FACE_TEMPORAL_SORTED, samples_path)
         samples_len = len(samples)
         if samples_len == 0:
             raise ValueError('No training data provided.')
diff --git a/samplelib/SampleGeneratorImageTemporal.py b/samplelib/SampleGeneratorImageTemporal.py
index 4f86e43..ed3ab4a 100644
--- a/samplelib/SampleGeneratorImageTemporal.py
+++ b/samplelib/SampleGeneratorImageTemporal.py
@@ -16,13 +16,13 @@ output_sample_types = [
 '''
 class SampleGeneratorImageTemporal(SampleGeneratorBase):
     def __init__ (self, samples_path, debug, batch_size, temporal_image_count, sample_process_options=SampleProcessor.Options(), output_sample_types=[], **kwargs):
-        super().__init__(samples_path, debug, batch_size)
+        super().__init__(debug, batch_size)
 
         self.temporal_image_count = temporal_image_count
         self.sample_process_options = sample_process_options
         self.output_sample_types = output_sample_types
 
-        self.samples = SampleLoader.load (SampleType.IMAGE, self.samples_path)
+        self.samples = SampleLoader.load (SampleType.IMAGE, samples_path)
 
         self.generator_samples = [ self.samples ]
         self.generators = [iter_utils.ThisThreadGenerator ( self.batch_func, 0 )] if self.debug else \