From 4158b9c77c1c8293d6994f29b3f80b779fc71444 Mon Sep 17 00:00:00 2001
From: wxywb <xy.wang@zilliz.com>
Date: Fri, 8 Apr 2022 15:06:20 +0800
Subject: [PATCH] init repo.

---
 README.md         | 89 ++++++++++++++++++++++++++++++++++++++++++++++-
 __init__.py       | 20 +++++++++++
 image_crop_cv2.py | 50 ++++++++++++++++++++++++++
 3 files changed, 158 insertions(+), 1 deletion(-)
 create mode 100644 __init__.py
 create mode 100644 image_crop_cv2.py

diff --git a/README.md b/README.md
index 6ce4d89..085d05d 100644
--- a/README.md
+++ b/README.md
@@ -1,2 +1,89 @@
-# image-crop
+# Image Crop Implementation with CV2
+
+*author: David Wang*
+
+
+
+<br />
+
+
+
+## Desription
+
+An image crop operator implementation with OpenCV.
+
+
+
+<br />
+
+
+
+## Code Example
+
+Load a image from path './dog.jpg'. 
+
+ *Write the pipeline in simplified style:*
+
+```python
+import towhee
+
+towhee.glob('./dog.jpg') \
+  .image_decode.cv2() \
+  .show()
+```
+
+*Write a same pipeline with explicit inputs/outputs name specifications:*
+
+```python
+import towhee
+
+towhee.glob['path']('./dog.jpg') \
+  .image_decode.cv2['path', 'img']() \
+  .select['img']() \
+  .show()
+```
+
+
+
+<img src="./show_result.jpg" height="150px"/>
+
+
+
+<br />
+
+
+
+## Factory Constructor
+
+Create the operator via the following factory method
+
+***image_decode.cv2()***
+
+
+
+<br />
+
+
+
+## Interface
+
+An image decode operator takes an image path as input. It decodes the image back to ndarray.
+
+
+
+**Parameters:**
+
+**img**: *str*
+
+​	Image file path.
+
+
+
+**Returns**: *towhee.types.Image (a sub-class of numpy.ndarray)* 
+
+​	The decoded image data as numpy.ndarray.
+
+
+
+
 
diff --git a/__init__.py b/__init__.py
new file mode 100644
index 0000000..e0001d4
--- /dev/null
+++ b/__init__.py
@@ -0,0 +1,20 @@
+# Copyright 2021 Zilliz. All rights reserved.
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+from .image_crop_cv2 import ImageDecodeCV2
+
+
+# The factory method
+def image_crop(clamp = False):
+    return ImageCropCV2(clamp)
diff --git a/image_crop_cv2.py b/image_crop_cv2.py
new file mode 100644
index 0000000..eb0e9c6
--- /dev/null
+++ b/image_crop_cv2.py
@@ -0,0 +1,50 @@
+# Copyright 2021 Zilliz. All rights reserved.
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+
+import logging
+import cv2
+import requests
+import numpy as np
+from typing import List
+
+from towhee import register
+from towhee.operator import PyOperator, OperatorFlag
+from towhee._types import Image
+
+log = logging.getLogger()
+
+
+@register(output_schema=['img'],
+          flag=OperatorFlag.STATELESS | OperatorFlag.REUSEABLE)
+class ImageCropCV2(PyOperator):
+    def __init__(self, clamp = False)
+        self.clamp = clamp
+
+    @staticmethod
+    def _clamp(x, minimum, maximum)
+        return max(minimum, min(x, maximum))
+
+    def __call__(self, img: np.ndarray, bboxes: List[(int, int, int, int)]):
+        h, w, _ = img.shape
+        res = []
+        for box in bboxes:
+            x1, y1, x2, y2 = box
+            x1 = ImageCropCV2._clamp(x1, 0, w)
+            x2 = ImageCropCV2._clamp(x2, 0, w)
+            y1 = ImageCropCV2._clamp(y1, 0, h)
+            y2 = ImageCropCV2._clamp(y2, 0, h)
+            res.append(Image[y1:y2,x1:x2,:])
+        return res
+