init repo.

README.md

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-# 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.
+
+
+
+
 

__init__.py

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+# 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)

image_crop_cv2.py

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+# 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
+