From d3044d50514586b0cf9702bc2c16a6486af249f6 Mon Sep 17 00:00:00 2001
From: Jules Laplace <julescarbon@gmail.com>
Date: Wed, 18 Apr 2018 12:35:39 +0200
Subject: setting up recursive dataset

---
 data/__init__.py          |  3 +++
 data/recursive_dataset.py | 37 +++++++++++++++++++++++++++++++++++++
 models/__init__.py        |  2 +-
 test.py                   |  2 ++
 4 files changed, 43 insertions(+), 1 deletion(-)
 create mode 100644 data/recursive_dataset.py

diff --git a/data/__init__.py b/data/__init__.py
index 341281d..a69f374 100644
--- a/data/__init__.py
+++ b/data/__init__.py
@@ -20,6 +20,9 @@ def CreateDataset(opt):
     elif opt.dataset_mode == 'single':
         from data.single_dataset import SingleDataset
         dataset = SingleDataset()
+    elif opt.dataset_mode == 'recursive':
+        from data.recursive_dataset import RecursiveDataset
+        dataset = RecursiveDataset()
     else:
         raise ValueError("Dataset [%s] not recognized." % opt.dataset_mode)
 
diff --git a/data/recursive_dataset.py b/data/recursive_dataset.py
new file mode 100644
index 0000000..d85184e
--- /dev/null
+++ b/data/recursive_dataset.py
@@ -0,0 +1,37 @@
+import os.path
+from data.base_dataset import BaseDataset, get_transform
+from data.image_folder import make_dataset
+from PIL import Image
+
+
+class RecursiveDataset(BaseDataset):
+    def initialize(self, opt):
+        self.opt = opt
+        self.root = opt.dataroot
+        self.next_image = opt.dataroot
+        #self.dir_A = os.path.join(opt.dataroot)
+        #self.A_paths = make_dataset(self.dir_A)
+        #self.A_paths = sorted(self.A_paths)
+
+        self.transform = get_transform(opt)
+
+    def __getitem__(self, index):
+        A_path = self.next_image
+        A_img = Image.open(A_path).convert('RGB')
+        A = self.transform(A_img)
+        if self.opt.which_direction == 'BtoA':
+            input_nc = self.opt.output_nc
+        else:
+            input_nc = self.opt.input_nc
+
+        if input_nc == 1:  # RGB to gray
+            tmp = A[0, ...] * 0.299 + A[1, ...] * 0.587 + A[2, ...] * 0.114
+            A = tmp.unsqueeze(0)
+
+        return {'A': A, 'A_paths': A_path}
+
+    def __len__(self):
+        return float("inf")
+
+    def name(self):
+        return 'RecursiveImageDataset'
diff --git a/models/__init__.py b/models/__init__.py
index 681c6de..72a0d2e 100644
--- a/models/__init__.py
+++ b/models/__init__.py
@@ -10,7 +10,7 @@ def create_model(opt):
         from .pix2pix_model import Pix2PixModel
         model = Pix2PixModel()
     elif opt.model == 'test':
-        assert(opt.dataset_mode == 'single')
+        assert(opt.dataset_mode == 'single' or opt.dataset_mode == 'recursive')
         from .test_model import TestModel
         model = TestModel()
     else:
diff --git a/test.py b/test.py
index 8444bd9..0a2fb9f 100644
--- a/test.py
+++ b/test.py
@@ -30,5 +30,7 @@ if __name__ == '__main__':
         img_path = model.get_image_paths()
         print('%04d: process image... %s' % (i, img_path))
         visualizer.save_images(webpage, visuals, img_path, aspect_ratio=opt.aspect_ratio)
+        if dataset.name() == 'RecursiveImageDataset':
+            dataset.append()
 
     webpage.save()
-- 
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