[refactor] move rbm.image → image.sub_image

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>

pyproject.toml

@@ -21,4 +21,4 @@ readme = "README.md"
 
 [tool.setuptools]
 package-dir = {"" = "src"}
-packages = ["rbm"]
+packages = ["rbm", "image"]

src/image/sub_image.py

@@ -72,4 +72,4 @@ def conv2d(image: Mat, kernel: Mat, stride: tuple[int,int]):
 		result[:, c] += np.convolve(image_padded[:,c], kernel[:,k])
 		k += 1
 
-	return result
+	return result

src/tests/test_conv2d.py

@@ -1,4 +1,4 @@
-from rbm.image import conv2d
+from image.sub_image import conv2d
 from rbm.matrix import np
 
 

src/tests/test_faces_sub_image.py

@@ -5,7 +5,7 @@ import matplotlib.pyplot as plt
 
 from rbm.model import Model
 from rbm.entity import Entity, EntityParams, TrainingParams
-from rbm.image import SubImage, normalize
+from image.sub_image import SubImage, normalize
 from rbm.matrix import Mat, np, convert
 from rbm.status import CheckpointStatus
 

src/tests/test_gaussian_autoencoder.py

@@ -3,7 +3,7 @@ import matplotlib.pyplot as plt
 
 from rbm.model import Model
 from rbm.entity import Entity, EntityParams, TrainingParams
-from rbm.image import normalize
+from image.sub_image import normalize
 from rbm.matrix import Mat, np
 
 N = 8

src/tests/test_linear.py

@@ -1,7 +1,7 @@
 from rbm.matrix import Mat, np
 from rbm.entity import Entity, EntityParams, TrainingParams
 from rbm.model import Model
-from rbm.image import normalize
+from image.sub_image import normalize
 
 WORK_DIR = "../../results"
 USE_OPTIMIZER = True

src/tests/test_sub_image.py

@@ -1,4 +1,4 @@
-from rbm.image import SubImage
+from image.sub_image import SubImage
 from rbm.matrix import np