이미지 처리를 위한 util 클래스 추가

back-end2/src/utils/image/image_chopper.py

+from utils.image.image_converter import ImageConverter
+
+class ImageChopper:
+    @staticmethod
+    def chop_left(image, w):
+        img = ImageConverter().convert_to_np_image(image)
+        chopped_img = img[:, w:]
+        return chopped_img
+    @staticmethod
+    def chop_right(image, w):
+        img = ImageConverter().convert_to_np_image(image)
+        chopped_img = img[:, :-w]
+        return chopped_img
+    
+    @staticmethod
+    def chop_top(image, h):
+        img = ImageConverter().convert_to_np_image(image)
+        chopped_img = img[h:, :]
+        return chopped_img
+    @staticmethod
+    def chop_bottom(image, h):
+        img = ImageConverter().convert_to_np_image(image)
+        chopped_img = img[:-h, :]
+        return chopped_img
+    @staticmethod
+    def chop_border(image, w):
+        img = ImageConverter().convert_to_np_image(image)
+        chopped_img = img[w:-w, w:-w]
+        return chopped_img
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back-end2/src/utils/image/image_compositer.py

+import numpy as np
+
+class ImageCompister:
+    def composite(self, outer_np_image, inner_np_image, x_offset = 0, y_offset = 0):
+        '''
+        if isinstance(outer_image, CompositedImage):
+            outer_image_copy = np.copy(outer_image.outer_image)
+            inner_image = outer_image.inner_image
+            x_offset = outer_image.x_offset
+            y_offset = outer_image.y_offset
+        elif isinstance(outer_image, np.ndarray):
+            outer_image_copy = np.copy(outer_image)
+        '''
+        
+        outer_np_image_copy = np.copy(outer_np_image)
+        outer_np_image_copy[y_offset:y_offset + inner_np_image.shape[0], x_offset:x_offset + inner_np_image.shape[1]] = inner_np_image
+
+        return outer_np_image_copy
+    
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back-end2/src/utils/image/image_converter.py

+import cv2
+import numpy as np
+
+class ImageConverter:
+    def convert_to_np_image(self, image):
+        if isinstance(image, bytes):
+            npimg = np.fromstring(image, np.uint8)
+            img = cv2.imdecode(npimg, cv2.IMREAD_COLOR)
+        elif isinstance(image, np.ndarray):
+            img = image
+        elif isinstance(image, str):
+            img = cv2.imread(image)
+
+        return img
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back-end2/src/utils/image/image_resizer.py

+import cv2
+
+class ImageResizer:
+    def resize(self, np_image, width, height):
+        np_image = cv2.resize(np_image, (width, height))
+        return np_image
+    def enlarge_according_to_mask(np_image, mask, ratio = 50):
+        object_long_side_length = mask.get_long_side_length()
+
+        np_image = cv2.cvtColor(np_image, cv2.COLOR_RGB2RGBA)
+        #인물의 객체의 긴 길이가 50%, 1024*1024에서 약 50%(550픽셀)을 차지하도록 설정
+        new_width = int(np_image.shape[1]*ratio*10/object_long_side_length)
+        new_height =  int(np_image.shape[0]*ratio*10/object_long_side_length)
+        np_image = cv2.resize(np_image, (new_width, new_height))
+    
+        return np_image
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back-end2/src/utils/image/image_writer.py

+import cv2
+class ImageWriter:
+    def save_np_image(self, np_image, dir_name = '.' , file_name = "no_named.png"):
+        file_dir = dir_name + '/' + file_name
+        cv2.imwrite(file_dir, np_image)
+        return file_dir
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