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Merge remote-tracking branch 'origin/develop' into develop

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# Conflicts:
#	app/service/design/service.py
This commit is contained in:
zhouchengrong
2024-08-01 17:27:41 +08:00
parent a86841c206 c6348a7979
commit 61d925a197
1 changed files with 6 additions and 10 deletions
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16
app/service/design/utils/synthesis_item.py
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@@ -63,18 +63,14 @@ def synthesis(data, size, basic_info):
# 创建底图 # 创建底图
base_image = Image.new('RGBA', size, (0, 0, 0, 0)) base_image = Image.new('RGBA', size, (0, 0, 0, 0))
try: try:
all_mask_shape = (size[1], size[0]) all_mask_shape = (size[1], size[0])
body_mask = None body_mask = None
for d in data: for d in data:
if d['name'] == 'body': if d['name'] == 'body':
# 创建一个新的宽高透明图像， 把模特贴上去获取mask body_mask = np.array(d['image'].split()[3])
transparent_image = Image.new("RGBA", size, (0, 0, 0, 0)) left_shoulder = basic_info['body_point_test']['shoulder_left']
transparent_image.paste(d['image'], d['position'], d['image']) right_shoulder = basic_info['body_point_test']['shoulder_right']
body_mask = np.array(transparent_image.split()[3])
# 根据新的坐标获取新的肩点
left_shoulder = [x + y for x, y in zip(basic_info['body_point_test']['shoulder_left'], d['position'])]
right_shoulder = [x + y for x, y in zip(basic_info['body_point_test']['shoulder_right'], d['position'])]
body_mask[:min(left_shoulder[1], right_shoulder[1]), left_shoulder[0]:right_shoulder[0]] = 255 body_mask[:min(left_shoulder[1], right_shoulder[1]), left_shoulder[0]:right_shoulder[0]] = 255
_, binary_body_mask = cv2.threshold(body_mask, 127, 255, cv2.THRESH_BINARY) _, binary_body_mask = cv2.threshold(body_mask, 127, 255, cv2.THRESH_BINARY)
top_outer_mask = np.array(binary_body_mask) top_outer_mask = np.array(binary_body_mask)
@@ -118,13 +114,13 @@ def synthesis(data, size, basic_info):
if layer['image'] is not None: if layer['image'] is not None:
if layer['name'] != "body": if layer['name'] != "body":
test_image = Image.new('RGBA', size, (0, 0, 0, 0)) test_image = Image.new('RGBA', size, (0, 0, 0, 0))
test_image.paste(layer['image'], layer['position'], layer['image']) test_image.paste(layer['image'], (layer['position'][1], layer['position'][0]), layer['image'])
mask_data = np.where(all_mask > 0, 255, 0).astype(np.uint8) mask_data = np.where(all_mask > 0, 255, 0).astype(np.uint8)
mask_alpha = Image.fromarray(mask_data) mask_alpha = Image.fromarray(mask_data)
cropped_image = Image.composite(test_image, Image.new("RGBA", test_image.size, (255, 255, 255, 0)), mask_alpha) cropped_image = Image.composite(test_image, Image.new("RGBA", test_image.size, (255, 255, 255, 0)), mask_alpha)
base_image.paste(test_image, (0, 0), cropped_image) base_image.paste(test_image, (0, 0), cropped_image)
else: else:
base_image.paste(layer['image'], layer['position'], layer['image']) base_image.paste(layer['image'], (layer['position'][1], layer['position'][0]), layer['image'])
result_image = base_image result_image = base_image