MLECO-2493 Add python OD example with TFLite delegate
Signed-off-by: Raviv Shalev <raviv.shalev@arm.com>
Change-Id: I25fcccbf912be0c5bd4fbfd2e97552341958af35
diff --git a/python/pyarmnn/examples/tests/test_style_transfer.py b/python/pyarmnn/examples/tests/test_style_transfer.py
new file mode 100644
index 0000000..fae4a42
--- /dev/null
+++ b/python/pyarmnn/examples/tests/test_style_transfer.py
@@ -0,0 +1,70 @@
+# Copyright © 2022 Arm Ltd and Contributors. All rights reserved.
+# SPDX-License-Identifier: MIT
+
+import os
+import cv2
+import numpy as np
+
+from context import style_transfer
+from context import cv_utils
+
+
+def test_style_transfer_postprocess(test_data_folder):
+ content_image = "messi5.jpg"
+ target_shape = (1,256,256,3)
+ keep_aspect_ratio = False
+ image = cv2.imread(os.path.join(test_data_folder, content_image))
+ original_shape = image.shape
+ preprocessed_image = cv_utils.preprocess(image, np.float32, target_shape, False, keep_aspect_ratio)
+ assert preprocessed_image.shape == target_shape
+
+ postprocess_image = style_transfer.style_transfer_postprocess(preprocessed_image, original_shape)
+ assert postprocess_image.shape == original_shape
+
+
+def test_style_transfer(test_data_folder):
+ style_predict_model_path = os.path.join(test_data_folder, "style_predict.tflite")
+ style_transfer_model_path = os.path.join(test_data_folder, "style_transfer.tflite")
+ backends = ["CpuAcc", "CpuRef"]
+ delegate_path = os.path.join(test_data_folder, "libarmnnDelegate.so")
+ image = cv2.imread(os.path.join(test_data_folder, "messi5.jpg"))
+
+ style_transfer_executor = style_transfer.StyleTransfer(style_predict_model_path, style_transfer_model_path,
+ image, backends, delegate_path)
+
+ assert style_transfer_executor.get_style_predict_executor_shape() == (1, 256, 256, 3)
+
+def test_run_style_transfer(test_data_folder):
+ style_predict_model_path = os.path.join(test_data_folder, "style_predict.tflite")
+ style_transfer_model_path = os.path.join(test_data_folder, "style_transfer.tflite")
+ backends = ["CpuAcc", "CpuRef"]
+ delegate_path = os.path.join(test_data_folder, "libarmnnDelegate.so")
+ style_image = cv2.imread(os.path.join(test_data_folder, "messi5.jpg"))
+ content_image = cv2.imread(os.path.join(test_data_folder, "basketball1.png"))
+
+ style_transfer_executor = style_transfer.StyleTransfer(style_predict_model_path, style_transfer_model_path,
+ style_image, backends, delegate_path)
+
+ stylized_image = style_transfer_executor.run_style_transfer(content_image)
+ assert stylized_image.shape == content_image.shape
+
+
+def test_create_stylized_detection(test_data_folder):
+ style_predict_model_path = os.path.join(test_data_folder, "style_predict.tflite")
+ style_transfer_model_path = os.path.join(test_data_folder, "style_transfer.tflite")
+ backends = ["CpuAcc", "CpuRef"]
+ delegate_path = os.path.join(test_data_folder, "libarmnnDelegate.so")
+
+ style_image = cv2.imread(os.path.join(test_data_folder, "messi5.jpg"))
+ content_image = cv2.imread(os.path.join(test_data_folder, "basketball1.png"))
+ detections = [(0.0, [0.16745174, 0.15101701, 0.5371381, 0.74165875], 0.87597656)]
+ labels = {0: ('person', (50.888902345757494, 129.61878417939724, 207.2891028294508)),
+ 1: ('bicycle', (55.055339686943654, 55.828708219750574, 43.550389695374676)),
+ 2: ('car', (95.33096265662336, 194.872841553212, 218.58516479057758))}
+ style_transfer_executor = style_transfer.StyleTransfer(style_predict_model_path, style_transfer_model_path,
+ style_image, backends, delegate_path)
+
+ stylized_image = style_transfer.create_stylized_detection(style_transfer_executor, 'person', content_image,
+ detections, 720, labels)
+
+ assert stylized_image.shape == content_image.shape