[tcaxLib] Parsing TCAS_BUF

milkyjing

in tcaxPy_Main:

TCAS_BUF = []

temp = []
tcas_main(temp,...)
.....

TCAS_BUF.extend(tcas_parse(temp, width, height, fps))

return (None, TCAS_BUF)



in tcaxPy_User:

you can use TCAS_BUF.extend(), or simply write the parsed buf to file.




the tcas_parse() function receives a TCAS_BUF, with resolution and fps,  and returns a linear TCAS_BUF

milkyjing

it's a python list, which has the following structure (according to the pseudo-code).

1.                 pixDip = PyTuple_New(7);
   
2.                 PyTuple_SET_ITEM(pixDip, 0, PyLong_FromLong(start));
   
3.                 PyTuple_SET_ITEM(pixDip, 1, PyLong_FromLong(end));
   
4.                 PyTuple_SET_ITEM(pixDip, 2, PyLong_FromUnsignedLong(layer_type_pair));
   
5.                 PyTuple_SET_ITEM(pixDip, 3, PyLong_FromLong(posX));
   
6.                 PyTuple_SET_ITEM(pixDip, 4, PyLong_FromLong(posY));
   
7.                 PyTuple_SET_ITEM(pixDip, 5, PyLong_FromLong(color));
   
8.                 PyTuple_SET_ITEM(pixDip, 6, PyLong_FromLong(alpha));
   
9.                 PyList_Append(tcasList, pixDip);
   
10.                 Py_CLEAR(pixDip);

复制代码

[(start, end, ltp, posX, posY, color, alpha), ...]

milkyjing

1. get the TCAS_BUF as input of tcas_parse, with extra parameters (resolution and fps)
2. use _tcaxlib_convert_tcas_list_to_buf function to create the TCAS_BUF to uncompressed tcas buffer.
3. use libtcas_compress_raw_chunks function to compress the uncompressed tcas buffer to compressed tcas buffer.
4. libtcas_stream_parser_init & libtcas_stream_parser_parse & libtcas_stream_parser_fin functions to parse the compressed tcas buffer and convert to vector of parsed chunks.
5. convert the parsed chunks back to TCAS_BUF

milkyjing

End of the issue, though with some details to handle.