private CommandHandler[] handlers = new CommandHandler[256]; // 指令包处理器
public override void before()
{
// 加载配置文件
Configs.init(System.IO.Directory.GetCurrentDirectory() + "\\" + "config.ini");
// 键盘映射初始化
KeyMapping.init();
// RLE压缩处理器初始化
RLEncoding.init();
// TODO: 单个可处理包大小不能超过400k
this.byteBuffer = new ByteWriter(4096 * 100);
// 包指令处理器
handlers[Command.HEARTBEAT] = heartbeat;
handlers[Command.CONTROL_REQUEST] = requestControl;
handlers[Command.CLOSE_REQUEST] = closeControl;
handlers[Command.GET_CLIPBOARD] = readClipboard;
handlers[Command.SET_CLIPBOARD] = writeClipboard;
handlers[Command.HID_COMMAND] = hidCommandExec;
handlers[Command.LIST_FILES] = listFiles;
handlers[Command.DOWNLOAD_FILE] = transferFile;
handlers[Command.UPLOAD_FILE] = writeFile;
}
RLEncoding createRLEncoding4Image(string folderName, string imageName, int maskID)
{
RLEncoding newEncoding = new RLEncoding(); // new single encoding for one instance of (image)
newEncoding.annotations = new List <Annotation>();
int i = 0;
foreach (string t in focusTags)
{
int[] boundingBox; // = new int[1];
List <int> codedMask; // = new List<int>();
List <Vector3Int[]> objectRectangles; // = new List<Vector3Int[]>();
objectRectangles = probeImageCorners(probeWidthHalf, probeHeightHalf, t); // assuming simple landscape // ok
if (objectRectangles.Count == 0)
{
continue;
}
// get RLE for each line, {row: {start: length}} :
Dictionary <int, Dictionary <int, int> > lineAnnotation = rectangles2Lines1Tag(objectRectangles, t);
// get bounding box from line RLE:
boundingBox = RLELines2BoundingBox(lineAnnotation);
// get RLE for whole image composed from RLE of each line:
codedMask = getRLEFromLines(screenshotWidth, screenshotHeight, lineAnnotation);
// save the RLE of image into serializable class:
newEncoding.file_name = folderName + imageName; // image name
newEncoding.image_id = myPath.currentID; // image name
newEncoding.height = screenshotHeight; // image height
newEncoding.width = screenshotWidth; // image width
Annotation annotation = new Annotation();
RLERaw rawRLE = new RLERaw();
annotation.bbox = boundingBox;
// Define materials for each object // TODO set this in YAML
string materialID;
if (t.Contains("sp"))
{
if (t.Contains("Pi")) // spPill sponge Pill
{
materialID = "pill - foam";
}
else if (t.Contains("pG")) // spG sponge Green
{
materialID = "cylinder - foam";
}
else
{
materialID = "box - foam";
}
}
else if (t.Contains("die"))
{
if (t.Contains("dieB"))
{
materialID = "dice - soft plastic";
}
else
{
materialID = "dice - foam";
}
}
else
{
materialID = "unknown";
}
annotation.material_id = materialID; // material of focus, e.g. foam
annotation.image_id = myPath.currentID;
annotation.bbox_mode = 0;
annotation.mask_file = Path.Combine("images/", maskID.ToString() + "-" + i.ToString() + ".png");
rawRLE.counts = codedMask;
rawRLE.size = new int[] { screenshotWidth, screenshotHeight };
annotation.segmentation = rawRLE;
newEncoding.annotations.Add(annotation);
i++;
}
return(newEncoding);
}
