Comments (2)
I'm working on a 2.5D path optimizer and looks promising. It uses two steps: firs it organizes the gcode into paths the second rewrites in order of nearest path firs comparing entry X Y values.
The Gcode was generated using MakerCam, the preview images UniversalGcodeSender
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Your method can give large improvements. I've implemented a more complicated and CPU intensive method that can give a bit better results. It uses simulated annealing. In some case it can be much better than the greedy algorithm. I've written the optimization code but have not yet finished it to the point where it can spit the GCode back out. See src/camotics/opt/.
Anyway your method is probably the preferred one in most cases simply because it's a lot faster to run.
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Related Issues (20)
- Cannot compile Fuzz Target linking to libGCode.a HOT 9
- Starting camotics with no *.camotcis file available ends up with core dump. HOT 1
- SConstruct question HOT 2
- improving the documentation - where can I find EXPLAINED example gcode-files HOT 1
- Unofficial build of 1.3.0 seg-faults on Debian amd64 HOT 1
- Not able to run on newer Linux Mint version HOT 1
- In Python sim.wait() kills the task it's waiting on. HOT 2
- Problems on Windows with umlauts ä ö ü in path name to g code file HOT 1
- tplang.exe crash on a line with "tool(1);" loading a tpl file HOT 3
- Custom Tool Shape HOT 1
- src/glibc.c and compat_glibc wrappers in v1.3.0 HOT 4
- Invalid JSON number error in some locales.
- All dialog boxes broken HOT 2
- Is it possible to run interactively with the Python API? (line-by-line) HOT 1
- Use of Intel HD graphics 2000 with Win7 HOT 1
- Color of Workpiece HOT 2
- save the resolution HOT 7
- Any reason why CHANGELOG shows 1.2.1 and 1.3.0 but no releases were generated for them? HOT 1
- Suggested Patch to Add Picking To TPL Files HOT 3
- Implement ambient occlusion in 3D lighting.
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