* ban it!
* some legitimate blunders
* even more!
* this is from commaai/one
* here too
* this too
* ignore rest
* one liner
* Revert "one liner"
This reverts commit d96a1624032aaad829a005b523e579d953cfe690.
* fw version for my car, and added scc radar module firmware to enable radar points
* bump points
* bump
---------
Co-authored-by: DevTekVE <devtekve@gmail.com>
Co-authored-by: Jason Wen <haibin.wen3@gmail.com>
* now alpha long
* fix
* rename param
* thought i did this
* debug
* debug
* more
* more
* moar
* Revert "moar"
This reverts commit e347106246583982e1be206485ad4d8eb944f817.
* Revert "more"
This reverts commit 0746e6d2e400ce1715614c62af84a9680c4d65c1.
* Revert "more"
This reverts commit 0db5a8792c01bb2d687f9152e6ba37fb76d4a453.
* Revert "debug"
This reverts commit 72f235b13727980e4331ff487998ddc7c7f7fb63.
* Revert "debug"
This reverts commit 7871b69f8c1bdffed386c2baac99542fcc50f7eb.
* Update max_lat_accel.py
The error you're encountering is due to the fact that the code is trying to calculate the 90th percentile of lateral acceleration values that are less than 0, but there are no such values in the dataset. This results in an empty list, which causes the np.percentile function to fail with an IndexError
* fix
* simpler
---------
Co-authored-by: Shane Smiskol <shane@smiskol.com>
* stash
* fastest
* faster but not fastest
* clean up
* here too
* fix that
* revert
* already sorted
* rev
* clean up
* allow empty
* lower tm time for cache miss
* Add support for TinyGrad model runner processing
Introduced a new function `is_tinygrad_model` to detect TinyGrad as an active model runner. Updated the `is_stock_model` logic to account for TinyGrad models and added a new process entry for TinyGrad in the model manager. This enables handling TinyGrad models alongside existing configurations.
adding modeld back
Add support for `modeld_v2` and update paths for consistency
Updated `SConscript` files to integrate `modeld_v2` alongside `modeld` and adjusted script paths for correct metadata handling. Adjusted various configurations and scripts, such as `labeler.yaml` and `build_release.sh`, to include `modeld_v2` and ensure cohesive project structure.
Refactor imports to use updated `modeld_v2` paths.
Replaced outdated `modeld` references with their `modeld_v2` counterparts for consistency and clarity across the codebase. Also updated `.gitignore` to accommodate new directory structure. This change ensures better maintainability and alignment with the new directory schema.
Refactor and reorganize modeld to sunnypilot/modeld_v2 structure.
Moved and renamed `modeld` components to the new `sunnypilot/modeld_v2` directory for better organization and modularity. Updated imports and file references to align with the new structure, ensuring compatibility and functionality. Streamlined project structure to improve maintainability and future development.
* typo
* Use `stock` model runner and refactor model checks.
Replaces outdated model detection logic with unified `stock` runner integration, simplifying the decision flow for model selection. Includes `stock` as a new enum in the `Runner` type and updates affected references accordingly.
* Handle missing 'sim_pose' in model outputs gracefully.
Added conditional checks to ensure the code handles cases where 'sim_pose' is absent in the model outputs. Fallback behaviors use 'plan' data when 'sim_pose' is unavailable, preventing potential errors and enhancing robustness.
* modeld: Retain pre-20hz drive model support
* Method not available anymore on OP
* some fixes
* Revert "Long planner get accel: new function args (#34288)"
* Revert "Fix low-speed allow_throttle behavior in long planner (#33894)"
* Revert "long planner: allow throttle reflects usage (#33792)"
* Revert "Gate acceleration on model gas press predictions (#33643)"
* Reapply "Gate acceleration on model gas press predictions (#33643)"
This reverts commit 76b08e37cb.
* Reapply "long planner: allow throttle reflects usage (#33792)"
This reverts commit c75244ca4e.
* Reapply "Fix low-speed allow_throttle behavior in long planner (#33894)"
This reverts commit b2b7d21b7b.
* Reapply "Long planner get accel: new function args (#34288)"
This reverts commit 74dca2fccf.
* don't need
* retain snpe
* wrong
* they're symlinks
* remove
* put back into VCS
* add back
* don't include built
* Refactor model runner retrieval with caching support
Added caching for active model runner type via `ModelRunnerTypeCache` to enhance performance and avoid redundant checks. Introduced a `force_check` flag to bypass the cache when necessary. Updated related code to handle cache clearing during onroad transitions.
* Update model runner determination logic with caching fix
Enhances `get_active_model_runner` to utilize caching more effectively by ensuring type consistency and updating cache only when necessary. Also updates `is_snpe_model` to pass the `started` state to the runner determination function, improving behavior for dynamic checks.
* parse inputs via metadata
* load model and metadata dynamically
* cherry pick from devtekve as base
* lateral_control_params & prev_desired_curv: MLSIM V0 to Null Pointer
* old desired_curv data: MLSIM V1 to Postal Service
* Bringing what was on master back then
* Cleaning up
* Refactor model pipeline for modularity and dynamic input handling
Refactored the model pipeline by introducing helper functions to modularize model loading, metadata extraction, and input preparation. Improved flexibility in handling dynamic input keys and parsing outputs based on model configuration. Removed deprecated or unused code segments for cleaner and more maintainable structure.
* Push NDv2 because why not and fix modeld
* `Refactor model parsing and clean unused code dependencies`
Simplified `parse_outputs` by removing unnecessary `input_keys` parameter, ensuring cleaner logic. Updated `PROCESS_NAME` for standardization and eliminated deprecated `Pathlib` dependencies in model paths. Minor adjustments improve input handling for lateral control parameters.
* Refactor model and metadata loading functions.
Simplified and clarified `load_model` by renaming it to `get_model_path` and removing redundant variable assignments. Streamlined `load_metadata` by directly returning the loaded metadata without intermediate variables. These changes improve code readability and maintainability.
* Refactor modeld process selection based on SNPE support.
Introduce conditional logic to determine and start the appropriate modeld process (SNPE or default) based on hardware support. This improves flexibility and ensures correct process management.
* Walrus baby
* Update longitudinal_planner.py
* Improve model download progress handling and translations
Refactored model download status handling logic for better clarity and added mechanisms to track status changes efficiently. Updated UI text and translations across multiple languages to reflect consistent and accurate model download states.
* Revert "Update longitudinal_planner.py"
This reverts commit b44a687e4c.
* Fix variable naming for curvature size in modeld.py
Renamed the variable `len` to `length` to avoid conflict with the built-in `len()` function, improving code clarity and preventing potential errors. Also removed trailing spaces in commented-out sections for better formatting consistency.
* sync with upstream
* some are different
* should work
* sim_pose only exists in in ndv3 and prior
* dynamic meta constants
* fix
* uiview: disable power saving
* fix this
* ain't coasting for y'all
* Static analysis
* Refactor initialization of model inputs for clarity.
Removed redundant pre-initialization of `driving_style`, `nav_features`, and `nav_instructions` variables. Instead, directly initialize these within their respective conditional blocks for better readability and reduced memory usage.
* default to none
* enable in next PR
* more
* Revert "more"
This reverts commit f5a4220588.
* Revert "enable in next PR"
This reverts commit 621cc4f18e.
* no need to cast bool
* nuke
* fix desired curvature for pre LAv1 models
* mypy
* static
* fix
* new json
* Going to a test branch with a different model json list
* renamed model json
* Update model runner handling in custom.capnp and helpers
Refactored model runner logic by introducing a `runner` field in `custom.capnp` and simplifying `get_active_model_runner` logic. Removed deprecated function `get_model_runner_by_filename` and added a temporary filter in `fetcher.py` to enforce `snpe` until full tinygrad support is implemented.
* Revert "Update model runner handling in custom.capnp and helpers"
This reverts commit f34d872c13.
* Revert "renamed model json"
This reverts commit 15c6ed303b.
* Revert "Going to a test branch with a different model json list"
This reverts commit 4c1408fee5.
* Reapply "renamed model json"
This reverts commit c6fec6912a.
Reapply "Going to a test branch with a different model json list"
This reverts commit 83e253e9a3.
* Add 'runner' property to 'ModelBundle' and update relevant functions
The 'ModelBundle' class in 'custom.capnp' has been extended to include a 'runner' property. This required updating 'fetcher.py' to handle the 'runner' property when parsing model bundles. Additionally, the helper function 'get_model_runner_by_filename' has been removed from 'helpers.py' as it is no longer needed because the 'runner' property provides this information. The 'get_active_model_runner' function has also been updated in light of these changes.
* Refine bundle selection logic in SoftwarePanelSP
Improve logic for determining which model bundle to display by considering download status and failure state. Remove unnecessary function call to enhance clarity and maintainability.
* tmp
* Add retrieval of active model bundle in manager loop
Introduce a call to `get_active_bundle` to fetch the active model bundle and store it in `self.active_bundle`. This ensures the active bundle is always up-to-date during the model management process.
* Add "Use Default" option for model selection
Introduced a "Use Default" option in the model selection dropdown, allowing users to reset to the default model. Adjusted logic to handle default selection and ensure proper parameter updates. Fixed bundle status handling during the download process in the model manager.
* Refactor type hint in active_bundle assignment.
Removed an unnecessary type hint in the active_bundle assignment for cleaner and more maintainable code. This change does not affect functionality but improves code readability.
* no nested
* update json url
* split out
* format
* condense
* more
---------
Co-authored-by: Jason Wen <haibin.wen3@gmail.com>
Co-authored-by: Kumar <36933347+rav4kumar@users.noreply.github.com>
