aidlab/AiDA_Python
6
0
Fork 0
Code Issues Pull Requests Actions Packages Projects Releases Wiki Activity

feat 处理多层sketch design出现的内搭越界问题

Browse Source 
fix
This commit is contained in:
zhouchengrong
2024-07-22 11:09:06 +08:00
parent 6d68ba1add
commit b75d1e5574
1 changed files with 10 additions and 6 deletions
Download Patch File Download Diff File Expand all files Collapse all files

16
app/service/design/utils/synthesis_item.py
View File

@@ -65,8 +65,12 @@ def synthesis(data, size):
try:
all_mask_shape = (size[1], size[0])
top_outer_mask = np.zeros(all_mask_shape, dtype=np.uint8)
bottom_outer_mask = np.zeros(all_mask_shape, dtype=np.uint8)
body_mask = None
for d in data:
if d['name'] == 'body':
body_mask = d['image'].split()[3]
top_outer_mask = np.array(body_mask)
bottom_outer_mask = np.array(body_mask)
top = True
bottom = True
@@ -101,10 +105,10 @@ def synthesis(data, size):
if layer['name'] != "body":
test_image = Image.new('RGBA', size, (0, 0, 0, 0))
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_alpha = Image.fromarray(mask_data)
# 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), test_image)
mask_data = np.where(all_mask > 0, 255, 0).astype(np.uint8)
mask_alpha = Image.fromarray(mask_data)
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)
else:
base_image.paste(layer['image'], (layer['position'][1], layer['position'][0]), layer['image'])