private void button1_Click(object sender, EventArgs e)
{
savePath = tbSavePath.Text.Trim();
jsonVersion = tbJsonVersion.Text.Trim();
shift = Int32.Parse(tbShift.Text.Trim());
subImageNum = Int32.Parse(this.tbSubImageNum.Text.Trim());
basePath = System.IO.Path.GetDirectoryName(tbPath.Text);
if (Directory.Exists(savePath))
{
DeleteADirectory(savePath);
}
System.IO.Directory.CreateDirectory(savePath);
//读取文件内容
StreamReader sr = new StreamReader(tbPath.Text, System.Text.Encoding.Default);
json = sr.ReadToEnd().TrimStart();
sr.Close();
JObject finaljObject = new JObject();
JObject onlyAssets = new JObject();
//string json = "{\"orderId\":\"000001\",\"goodsId[0]\":\"001\",\"goodsId[3]\":\"003\",\"goodsId[10]\":\"new data\"}";
JObject jsonObj = (JsonConvert.DeserializeObject(json) as JObject)["assets"] as JObject;
finaljObject.Add(new JProperty("tags", (JsonConvert.DeserializeObject(json) as JObject)["tags"]));
foreach (var p in jsonObj.Properties().ToArray())
{
string id = p.Name;
OneAsset one = JsonConvert.DeserializeObject <OneAsset>(p.Value.ToString());
if (one.state == 0)
{
LogHelper.WriteLog(one.name + " 未查看,直接跳过截图");
continue;
}
#region 这里读取图片进行等分
//等分数量
//int subImageNum = Int32.Parse(this.tbSubImageNum.Text.Trim());
//得到原图的宽高
int subWidth, subHeight;
//srcHeight = 2056; ////获取原图宽、高
//srcWidth = 2456;
subWidth = one.size.width / subImageNum + shift;
subHeight = one.size.height / subImageNum + shift;
if (!crop(Path.Combine(basePath, HttpUtility.UrlDecode(one.name)), subWidth, subHeight, subImageNum))
{
continue;
}
#endregion
#region
//所有缺陷框
RTree.RTree <Region> tree = new RTree.RTree <Region>();
if (one.state == 2)//这里需要操作素材打的框
{
#region 这里写单个的区块的素材操作了
string oneJsonFile = Path.Combine(basePath, id + "-asset.json");
using (StreamReader srTemp = new StreamReader(oneJsonFile, System.Text.Encoding.Default))
{
OneAssetWithRegions oneAR = JsonConvert.DeserializeObject <OneAssetWithRegions>(srTemp.ReadToEnd().TrimStart());
#region 重头戏来了，这里处理完救赎
foreach (var f**k in oneAR.regions)
{
tree.Add(new RTree.Rectangle(f**k.boundingBox.left,
f**k.boundingBox.top,
f**k.boundingBox.left,
f**k.boundingBox.top,
0, 0), f**k);
}
#endregion
}
#endregion
}
#endregion
string oldName = one.name;
#region 这里做一些逻辑判断
for (int n = 1; n <= subImageNum * subImageNum; n++)
{
one.id = id + n;
one.size = new AssetsSize()
{
width = subWidth, height = subHeight
}; // 这里其实写不写无所谓,但追求完美还是写!!!!注意如果下次还要等分，这里还是写完整
one.name = Path.GetFileNameWithoutExtension(oldName) + "-" + n + Path.GetExtension(oldName);
one.path = "file:${path}" + one.name;
if (tree.Count > 0)
{
//判断所有的边框是否存在在裁剪后的边框内
F**k f**k = cropRRectangles[n - 1];
var objects = tree.Contains(f**k.rectangle);
if (objects.Count > 0)//有边框那么，改状态，还要生成本地json文件
{
one.state = 2;
OneAssetWithRegions fuckOne = new OneAssetWithRegions();
fuckOne.asset = one;
fuckOne.version = jsonVersion;
foreach (var re in objects)
{
re.boundingBox = new BoundingBox()
{
left = re.boundingBox.left - f**k.point.X,
top = re.boundingBox.top - f**k.point.Y,
width = re.boundingBox.width,
height = re.boundingBox.height
};
re.points.Clear();
re.points.Add(new AssetPoint()
{
x = re.boundingBox.left, y = re.boundingBox.top
});
re.points.Add(new AssetPoint()
{
x = re.boundingBox.left + re.boundingBox.width, y = re.boundingBox.top
});
re.points.Add(new AssetPoint()
{
x = re.boundingBox.left + re.boundingBox.width, y = re.boundingBox.top + re.boundingBox.height
});
re.points.Add(new AssetPoint()
{
x = re.boundingBox.left, y = re.boundingBox.top + re.boundingBox.height
});
}
fuckOne.regions = objects;
File.WriteAllText(Path.Combine(savePath, id + n + "-asset.json"), JsonConvert.SerializeObject(fuckOne));
onlyAssets.Add(new JProperty(one.id, JObject.Parse(JsonConvert.SerializeObject(one))));
LogHelper.WriteLog("ng " + HttpUtility.UrlDecode(one.name));
}
else//没有那么
{
one.state = 1;
if (cbSaveOk.Checked)
{
onlyAssets.Add(new JProperty(one.id, JObject.Parse(JsonConvert.SerializeObject(one))));
}
LogHelper.WriteLog("ok " + HttpUtility.UrlDecode(one.name));
}
}
//if (one.state == 1)//这里不用判断素材框， 直接草他个等分数的平方
//{
//}
//else
//#region 这里处理完了就可以知道 图片等分出来的区块的state，然后新建个-asset.json，然后再吧assets新增
////one.state = 2;
//#endregion
}
#endregion
//写入一个字符串
int o = 0;
}
finaljObject.Add(new JProperty("assets", onlyAssets));
string bb = finaljObject.ToString();
File.WriteAllText(Path.Combine(savePath, "import.power-ai"), bb);
MessageBox.Show("处理完成");
// ////////给原图分块
// for (int j = 0; j < subImageNum; j++)
// {
// for (int i = 0; i < subImageNum; i++)
// {
// if (j < subImageNum - 1 && i < subImageNum - 1)
// {
// cv::Mat temImage(subHeight, subWidth, CV_8UC3, cv::Scalar(0,0,0));
// cv::Mat imageROI = src(cv::Rect(i * subWidth, j * subHeight, temImage.cols, temImage.rows));
// cv::addWeighted(temImage, 1.0, imageROI, 1.0, 0., temImage);
// subImages.push_back(temImage);
// }else{
// cv::Mat temImage(srcHeight - (subImageNum - 1) * subHeight, srcWidth - (subImageNum - 1) * subWidth, CV_8UC3, cv::Scalar(0,0,0));
// cv::Mat imageROI = src(cv::Rect(i * subWidth, j * subHeight, temImage.cols, temImage.rows));
// cv::addWeighted(temImage, 1.0, imageROI, 1.0, 0., temImage);
// subImages.push_back(temImage);
// }
//}
//std::cout<<subImages[0]<<std::endl; //测试语句，打印出子图矩阵
}
void AddElement(MeshElement element)
{
m_meshDict.Add(element.meshId, element);
m_rtree.Add(element.bounding, element);
}