Saver tries to pre-transfom to skip the matrix data,
but it missed the case - transformed stroking,
we skip it also only when xy scaling factors are same excluding the dash properties,
because scaled of the stroking is depent on the engines,
we have no idea of the proper input data in advance.
@Issues: https://github.com/Samsung/thorvg/issues/773
Since the arc flags can have values 0 or 1, we reported as
an error cases, when a float value was given.
Since the EBNF grammar can be used, we misread some paths.
Removing the condition that prevents giving a float as a flag solves
this problem and is in agreement with the w3 specs.
This reserved count was just missed,
Aside from it, tvg_loader logic is not well organized (hard to expect)
We can refine it by recovering the data tree structure in the reverse order.
@Issues: https://github.com/Samsung/thorvg/issues/768
Clips from outside the rendering region were ignored resulting
in rendering shapes, which should be completely clipped.
In case of the clip fast track, the bounding box width/height
overflow occured and shape, that should be clipped, could be
visible (not always).
The background color was misinterpreted and its value was treated
as an svg file name (warning was returned).
The color format can not be passed in a `#ffffff` format, since
the '#' sign is used in bash to comment a line and nothiing after
it is loaded.
there some multiple wrong calculation about size during tvg optimiation.
this patch fixes them.
1. picture needs to return the current desired size because
it will save the transformed the geometry. the final size should be
recorvered as the base size from the loader.
2. clippath missed to multiply parents transform, it's fixed.
@Issue: https://github.com/Samsung/thorvg/issues/752
Both functions implemented using 128-bit registers.
avxRasterTranslucentRect is around 5 times faster than cRasterTranslucentRect (i7-8700 CPU - Coffe Lake)
This patch adds saveTvg() function into thorvgwasm.cpp.
Functions saves tvg using File System API.
To enable fs, changed build flag: -s FORCE_FILESYSTEM=1.
Increase in result thorvg-wasm.js size: about 68kB to about 125kB.
picture must return the boundary info - 0, 0, w, h
We assume that it has a designated picture size.
Aside from this issue,
bounds() api must be reviewed, its behavior is quite in a trouble...
unless the result is not transformed, its information is useless...
@Issue: https://github.com/Samsung/thorvg/issues/741
Changes:
Added neonRasterTranslucentRect implementation. Rendering was tested on
32 lottie fiels. Without neon ~ 18.1 FPS was measured. With neon ~ 20.1
FPS was measured.
By choosing compress option, tvg tries to compress the data to reduce the binary size.
Since the compression has the double-edges sword, we provides an option to users
to select it by their demand. Basically, compression is better than non-compression.
After profiling, we decided to use the encoder/decoder of Guilherme R. Lampert's.
Here is the profiling result:
test.tvg: 296037 -> 243411 (-17%)
tiger.tvg: 54568 -> 50622 (-7%)
image-embedded.tvg: 2282 -> 1231 (-46%)
@Issue: https://github.com/Samsung/thorvg/issues/639
About compression method:
Lempel–Ziv–Welch (LZW) encoder/decoder by Guilherme R. Lampert
This is the compression scheme used by the GIF image format and the Unix 'compress' tool.
Main differences from this implementation is that End Of Input (EOI) and Clear Codes (CC)
are not stored in the output and the max code length in bits is 12, vs 16 in compress.
EOI is simply detected by the end of the data stream, while CC happens if the
dictionary gets filled. Data is written/read from bit streams, which handle
byte-alignment for us in a transparent way.
The decoder relies on the hardcoded data layout produced by the encoder, since
no additional reconstruction data is added to the output, so they must match.
The nice thing about LZW is that we can reconstruct the dictionary directly from
the stream of codes generated by the encoder, so this avoids storing additional
headers in the bit stream.
The output code length is variable. It starts with the minimum number of bits
required to store the base byte-sized dictionary and automatically increases
as the dictionary gets larger (it starts at 9-bits and grows to 10-bits when
code 512 is added, then 11-bits when 1024 is added, and so on). If the dictionary
is filled (4096 items for a 12-bits dictionary), the whole thing is cleared and
the process starts over. This is the main reason why the encoder and the decoder
must match perfectly, since the lengths of the codes will not be specified with
the data itself.
Calling picture->load after it was already once called resulted in
segmentation fault or memory leak (depending on whether the vector (svg, tvg)
or raster (jpg, png, raw) file was loaded).
This patch checks the image has already been loaded. If so, the load()
returns InsufficientCondition.
@issue: fixes#719
