1. Added one_direction_test_model that generates the outputs in only one direction

2. Changed the option naming from ntrain to max_dataset_size

1 files changed, 7 insertions, 2 deletions

diff --git a/models/models.py b/models/models.py
index 7e790d0..8fea4f4 100644
--- a/models/models.py
+++ b/models/models.py
@@ -4,12 +4,17 @@ def create_model(opt):
     print(opt.model)
     if opt.model == 'cycle_gan':
         from .cycle_gan_model import CycleGANModel
-        assert(opt.align_data == False)
+        #assert(opt.align_data == False)
         model = CycleGANModel()
-    if opt.model == 'pix2pix':
+    elif opt.model == 'pix2pix':
         from .pix2pix_model import Pix2PixModel
         assert(opt.align_data == True)
         model = Pix2PixModel()
+    elif opt.model == 'one_direction_test':
+        from .one_direction_test_model import OneDirectionTestModel
+        model = OneDirectionTestModel()
+    else:
+        raise ValueError("Model [%s] not recognized." % opt.model)
     model.initialize(opt)
     print("model [%s] was created" % (model.name()))
     return model