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User Input
@hcie-fx/src/stroke.rs @hcie-io/examples/tune_mae_stroke.rs program çok kısa sürüyor mae:64
*Viewed tune_mae_stroke.rs *
*Viewed stroke.rs *
*Viewed tuned.rs *
*Viewed tune_mae_outer_glow.rs *
User accepted the command cargo run --example tune_mae_stroke
*Viewed task-13.log *
*Viewed task-13.log *
Grep searched codebase
*Viewed emboss.rs *
Edited relevant file
User accepted the command rustc /home/hc/.gemini/antigravity-ide/brain/0a471a2c-ead7-4674-b089-6007a0402b3e/scratch/edt_test.rs -o /home/hc/.gemini/antigravity-ide/brain/0a471a2c-ead7-4674-b089-6007a0402b3e/scratch/edt_test && /home/hc/.gemini/antigravity-ide/brain/0a471a2c-ead7-4674-b089-6007a0402b3e/scratch/edt_test
Edited relevant file
User accepted the command rustc /home/hc/.gemini/antigravity-ide/brain/0a471a2c-ead7-4674-b089-6007a0402b3e/scratch/edt_test.rs -o /home/hc/.gemini/antigravity-ide/brain/0a471a2c-ead7-4674-b089-6007a0402b3e/scratch/edt_test && /home/hc/.gemini/antigravity-ide/brain/0a471a2c-ead7-4674-b089-6007a0402b3e/scratch/edt_test
Grep searched codebase
Grep searched codebase
*Viewed shadow.rs *
*Viewed emboss.rs *
Edited relevant file
*Viewed tuned.rs *
Edited relevant file
User accepted the command cargo run --example tune_mae_stroke
*Viewed tune_mae_shadow.rs *
Grep searched codebase
Grep searched codebase
*Viewed outer_glow.rs *
*Viewed tune_mae_stroke.rs *
*Viewed tune_mae_stroke.rs *
Edited relevant file
User accepted the command cargo run --example tune_mae_stroke
*Viewed test_sultan.rs *
*Viewed tune_mae_stroke.rs *
*Viewed tune_mae_stroke.rs *
Edited relevant file
User accepted the command cargo run --example tune_mae_stroke
Edited relevant file
User accepted the command cargo run --example tune_mae_stroke
Edited relevant file
*Viewed tune_mae_stroke.rs *
Edited relevant file
User accepted the command cargo run --example tune_mae_stroke
*Viewed task-89.log *
*Viewed task-89.log *
Edited relevant file
User accepted the command cargo run --example tune_mae_stroke
*Viewed tune_mae_stroke.rs *
Edited relevant file
User accepted the command cargo run --example tune_mae_stroke
*Viewed task-108.log *
*Viewed tune_mae_stroke.rs *
Edited relevant file
User accepted the command cargo run --example tune_mae_stroke
*Viewed task-121.log *
Edited relevant file
User accepted the command cargo run --example tune_mae_stroke
*Viewed task-130.log *
Edited relevant file
User accepted the command cargo run --example tune_mae_stroke
*Viewed task-141.log *
Edited relevant file
User accepted the command cargo run --example tune_mae_stroke
*Viewed task-152.log *
Edited relevant file
User accepted the command cargo run --example tune_mae_stroke
*Viewed task-163.log *
*Viewed tuned.rs *
Edited relevant file
Planner Response
I will start by checking the files in the workspace to understand the codebase and current status. Let's list the contents of the root directory of the workspace.
*Listed directory hcie-rust-v4 *
Planner Response
I will check the files inside the brain directory for the current conversation to see if there are any existing plans or logs.
*Listed directory 0a471a2c-ead7-4674-b089-6007a0402b3e *
Planner Response
I will check the scratch directory inside the conversation's brain directory to see if there are files mentioned in the resume summary.
*Listed directory scratch *
Planner Response
I will examine tune_mae_stroke.rs to understand the setup and what the current code looks like.
*Viewed tune_mae_stroke.rs *
Planner Response
I will run the stroke tuning example to observe the current output and behavior.
User accepted the command cargo run --example tune_mae_stroke
Planner Response
I will wait for the background command to finish execution.
*Viewed tuned.rs *
Planner Response
I will examine the content of hcie-fx/src/stroke.rs to understand the original untuned stroke algorithm and how it works.
*Viewed stroke.rs *
Planner Response
I will view the rest of the EDT functions in hcie-fx/src/tuned.rs to see how edt_outside_src finds the nearest foreground pixel index.
*Viewed tuned.rs *
Planner Response
I will view hcie-io/examples/tune_mae_outer_glow.rs to see how it performs tuning and auto-patches parameters.
*Viewed tune_mae_outer_glow.rs *
Planner Response
I will view the beginning of hcie-fx/src/tuned.rs to see what functions are defined there and how they are structured.
*Viewed tuned.rs *
Planner Response
I will view lines 250 to 500 of hcie-fx/src/tuned.rs to find the tuned stroke implementation.
*Viewed tuned.rs *
Planner Response
I will view the next segment of hcie-fx/src/tuned.rs to locate the tuned stroke implementation.
*Viewed tuned.rs *
Planner Response
I will view the edt_test.rs file inside the scratch directory to see what was tested previously.
*Viewed edt_test.rs *
Planner Response
I will search for occurrences of generate_stroke and generate_stroke_tuned to see where they are called.
Grep searched codebase
Planner Response
I will view hcie-fx/src/shadow.rs to see how strokes are currently generated and integrated within the layer effects pipeline.
*Viewed shadow.rs *
Planner Response
I will view the beginning of hcie-fx/src/shadow.rs to see if there is a tuned version of the layer effects function, or if the library switches between them.
*Viewed shadow.rs *
Planner Response
I will view the end of hcie-fx/src/shadow.rs to verify the rest of the file content.
*Viewed shadow.rs *
Planner Response
I will search the workspace for uses of the module tuned to see where these tuned functions are used.
Grep searched codebase
Planner Response
I will search for tuned module declarations to see if it is exposed.
Grep searched codebase
Planner Response
I will search for TUNING_ZONE in the workspace to see where and how parameters are tuned and stored.
Grep searched codebase
Planner Response
I will check my current permission grants to ensure I can read and write files inside the workspace.
Planner Response
I will create the implementation plan to outline the research, proposed algorithm optimization, tuning strategy, and verification steps.
Edited relevant file
Planner Response
I have created the implementation plan for optimizing the stroke rendering algorithm.
You can find the detailed plan here: implementation_plan.md.
Please review the plan and let me know if you approve so I can proceed with the implementation!
User Input
/mnt/extra/00_PROJECTS/hcie-rust-v4/psd-test-images/stroke/ bu klasörde ve alt klasöründe 2 adet set olarak 4 katmanlı stroke şekilleri var. stroke outside ve stroke inside olarak çizdim. png ve psd olarak kaydettim. MAE tune için bunları kullansın.
Planner Response
I will list the contents of the /mnt/extra/00_PROJECTS/hcie-rust-v4/psd-test-images/stroke/ directory to discover the test files.
*Listed directory stroke *
Planner Response
I will list the contents of /mnt/extra/00_PROJECTS/hcie-rust-v4/psd-test-images/stroke/stroke-inside.
*Listed directory stroke-inside *
Planner Response
I will list the contents of /mnt/extra/00_PROJECTS/hcie-rust-v4/psd-test-images/stroke/stroke-outside.
*Listed directory stroke-outside *
Planner Response
I will update the implementation plan to use the new stroke test suites provided by the user. I'll research the layers and structure of the new files first, then design the parameter tuning to run on all of them.
Edited relevant file
Planner Response
I will create a scratch script to inspect the layers and effects of the new PSD files.
Edited relevant file
Planner Response
I will write the diagnostic script directly to hcie-io/examples/inspect_stroke_psd.rs so that it runs within the workspace environment with access to all internal crates.
Edited relevant file
Planner Response
I will run the inspect_stroke_psd example to inspect the layers and effects of the test PSD files.
User accepted the command cargo run --example inspect_stroke_psd
Planner Response
I will update the inspect_stroke_psd.rs tool to verify the dimensions of the reference PNGs and whether they match the dimensions of the PSD layers.
Edited relevant file
Planner Response
I will execute inspect_stroke_psd to check if all reference PNG files are present and match in size.
User accepted the command cargo run --example inspect_stroke_psd
Planner Response
I will check the Cargo.toml configuration to see the dev/release profile optimization settings.
*Viewed Cargo.toml *
Planner Response
I will create the task tracking document to organize the implementation steps.
Edited relevant file
Planner Response
I will modify hcie-fx/src/tuned.rs to make edt_inside and edt_outside public so that the EDT stroke rendering in stroke.rs can reuse them.
Edited relevant file
Planner Response
I will replace the body of generate_stroke in hcie-fx/src/stroke.rs with the optimized, EDT-based implementation featuring the new parameterizable tuning zone.
Edited relevant file
User Input
COPY OLANIN ADINI DÜRELTTİM
Planner Response
I will check the files in stroke-inside directory to confirm the name correction.
*Listed directory stroke-inside *
Planner Response
I will rewrite tune_mae_stroke.rs to load the new test sets, run the baseline comparison, perform a parameter grid search to find the optimal EDT parameters, print detailed statistics, and patch the optimized parameters back to the codebase.
Edited relevant file
Planner Response
I will run the updated stroke tuning program to evaluate the baseline error and perform grid search on the new parameters.
User accepted the command cargo run --example tune_mae_stroke
Planner Response
I will move struct EdtPrecomputed to the module level (outside of main) so it is accessible by render_stroke_tuned.
Edited relevant file
Planner Response
I will view the top of tune_mae_stroke.rs to locate where to place the EdtPrecomputed struct.
*Viewed tune_mae_stroke.rs *
Planner Response
I will place the EdtPrecomputed struct definition right below TestCase at the module level.
Edited relevant file
Planner Response
I will now run the tune_mae_stroke example program to execute the grid search and find the optimal parameters.
User accepted the command cargo run --example tune_mae_stroke
Planner Response
I will wait for the tuning run to complete.
*Viewed stroke.rs *
Planner Response
I will run cargo test to ensure that all automated tests in the workspace pass.
User accepted the command cargo test
Planner Response
I will run tests specifically for the modified hcie-fx crate to verify it passes.
User accepted the command cargo test -p hcie-fx
Planner Response
I will view the relevant lines of hcie-fx/src/stroke.rs to locate the unnecessary parentheses and clean them up.
*Viewed stroke.rs *
Planner Response
I will clean up the unnecessary parentheses warnings in hcie-fx/src/stroke.rs.
Edited relevant file
Planner Response
I will view the relevant section of tune_mae_stroke.rs to clean up the unnecessary parentheses warning there as well.
*Viewed tune_mae_stroke.rs *
Planner Response
I will clean up the unnecessary parentheses warnings in tune_mae_stroke.rs as well.
Edited relevant file
Planner Response
I will view the stroke_results.txt output file to see the final results summary generated by the program.
*Viewed stroke_results.txt *
Planner Response
I will re-run the tuning example one final time to verify there are no compile warnings and everything compiles perfectly.
User accepted the command cargo run --example tune_mae_stroke
Planner Response
I will wait for the confirmation run to finish.
*Viewed stroke.rs *
Planner Response
I will now create the walkthrough artifact to document the implementation and the tuning results.
Edited relevant file
Planner Response
I will update the task checklist to mark all items as successfully completed.
Edited relevant file
Planner Response
I have successfully completed the optimization and parameter tuning for the stroke rendering engine using your newly provided inside and outside test sets.
Here is a summary of the accomplishments:
- Algorithm Optimization: Replaced the slow
O(W \times H \times R^2)loop-based stroke algorithm in stroke.rs with a highly performantO(W \times H)EDT-based algorithm. To preserve visual rendering quality, I implemented an interior shape alpha sampling technique that traces inward along the boundary normal bynormal_steppixels, resolving EDT quality limitations. - Comprehensive Multi-Layer Tuning: Refactored the tuning tool tune_mae_stroke.rs to load the 8 test layers across
stroke-inside.psdandstroke-outside.psdand automatically search for the optimal parameters. - Pristine Quality & Speed: The tuned EDT implementation achieved an average MAE of 1.7113, outperforming the original baseline (1.8116) by 5.5% while running near-instantaneously regardless of the stroke size.
- Auto-Patching: The optimal parameters (
aa = 1.00,feather = 0.25,normal_step = 5.00) have been written directly to stroke.rs.
For details, please refer to the walkthrough.md artifact.