mirror of
https://github.com/MaaAssistantArknights/MaaAssistantArknights.git
synced 2026-07-16 01:40:46 +08:00
90 lines
2.8 KiB
Python
90 lines
2.8 KiB
Python
import cv2
|
||
import json
|
||
from pathlib import Path
|
||
|
||
"""
|
||
This is a tool for cropping one image into several images based on current roi.
|
||
Use this tool when a raw image contains many templates.
|
||
For example, when adding a new homepage theme.
|
||
Put one picture in ./src and add the template's tasks to 'task_list',
|
||
This tools will try to read roi (if not 'roi_crop_doc') from tasks in tasks.json and then crop the image.
|
||
"""
|
||
|
||
std_width: int = 1280
|
||
std_height: int = 720
|
||
std_ratio = std_width / std_height
|
||
|
||
task_paths = {
|
||
"CN": Path("../../resource/tasks.json"),
|
||
"twxy": Path("../../resource/global/txwy/resource/tasks.json"),
|
||
"YoStarEN": Path("../../resource/global/YoStarEN/resource/tasks.json"),
|
||
"YoStarJP": Path("../../resource/global/YoStarJP/resource/tasks.json"),
|
||
"YoStarKR": Path("../../resource/global/YoStarKR/resource/tasks.json"),
|
||
}
|
||
|
||
# Change this to your client
|
||
task_file = task_paths["CN"]
|
||
|
||
# Add the tasks you want to get its image
|
||
task_list = []
|
||
# You should get these names from tasks.json
|
||
#
|
||
# For example, when adding a new homepage theme:
|
||
task_list = [
|
||
"Award",
|
||
"GachaEnter",
|
||
"Home",
|
||
"Infrast",
|
||
"OperBoxEnter",
|
||
"Recruit",
|
||
"Visit",
|
||
]
|
||
|
||
with task_file.open("r", encoding="utf-8") as f:
|
||
tasks = json.load(f)
|
||
|
||
src_path = Path("./src")
|
||
dst_path = Path("./dst")
|
||
|
||
for raw_image in src_path.glob("*.png"):
|
||
print("Processing file:", str(raw_image))
|
||
image = cv2.imread(str(raw_image))
|
||
cur_ratio = image.shape[1] / image.shape[0]
|
||
if cur_ratio >= std_ratio: # 说明是宽屏或默认16:9，按照高度计算缩放
|
||
dsize_width: int = (int)(cur_ratio * std_height)
|
||
dsize_height: int = std_height
|
||
else: # 否则可能是偏正方形的屏幕，按宽度计算
|
||
dsize_width: int = std_width
|
||
dsize_height: int = std_width / cur_ratio
|
||
dsize = (dsize_width, dsize_height)
|
||
image = cv2.resize(image, dsize, interpolation=cv2.INTER_AREA)
|
||
|
||
for i in task_list:
|
||
if "template" not in tasks[i]:
|
||
filename = i + ".png"
|
||
elif type(tasks[i]["template"]) == str:
|
||
filename = tasks[i]["template"]
|
||
elif type(tasks[i]["template"]) == list:
|
||
# this is for multi-template:
|
||
filename = tasks[i]["template"][0].split(".")[0] + raw_image.stem + ".png"
|
||
|
||
crop_doc = tasks[i].get("crop_doc", {})
|
||
roi = crop_doc.get("roi", tasks[i]["roi"])
|
||
mask = crop_doc.get("mask", [])
|
||
|
||
cropped = image[roi[1] : roi[1] + roi[3], roi[0] : roi[0] + roi[2]]
|
||
|
||
if len(mask) > 0:
|
||
cv2.rectangle(
|
||
cropped,
|
||
(mask[0], mask[1]),
|
||
(mask[0] + mask[2], mask[1] + mask[3]),
|
||
(0, 0, 0),
|
||
-1,
|
||
)
|
||
|
||
print("Saving", dst_path / filename)
|
||
cv2.imwrite(str(dst_path / filename), cropped)
|
||
|
||
print("Finished processing file:", str(raw_image))
|