carrotpilot

mirror of https://github.com/ajouatom/openpilot.git synced 2026-02-18 13:03:55 +08:00

Files

carrot 77a8919349 TR16 Model, fix radar routine (#211 )

* UV+DTR model

* DTR model.. again.

* fix naviGPS

* fix radar...

* fix..

* test

* fix..

* carrot serv

* fix..

* fix.. fleet

* fix.. radar

* fix atc

* Steam Powered model..

* fix.. radarLatFactor range.. 200->500

* fix.. dbc..

* side

* SP v2

* brake light

* fix brakelight

* fix..

* add datetime...

* fix..

* fix..

* fix..

* fix..

* blind spot

* fix tz

* fix..

* ff

* radarLatFactor

* fix.. bsd

* Revert "fix.. bsd"

This reverts commit 1d0d143447.

* fix.. bsd side..

* test

* fix.. e2e conditions

* Revert "test"

This reverts commit 0ce791dbd6.

* TR16

* fix cut-in detect threshold  3.4 -> 2.6

* fix.. jerk_l limit 5->10

* fix..

* fix.. gm

* fix.. OPTIMA_H mass

* fix.. radar..

* fix radar..

* fix..

* Radar...

* fix..

* fix..

* fix..

* fix.. radartrack 3

* fix..

* fix..

* fix..

* merge..

* fix.. canfd

* fix..

* fix..

* fix..

* fix.. radard

* new cut_in

* Revert "new cut_in"

This reverts commit b9b6e9b333.

* fix..

* new cut_in detect...

* fix.. disp..

* fix..

* fix..

* fix.. center radar..

* fix.. radar y_sane..

* fix..

* fix..

* hkg jerk 10 -> 5

* fix..

* fix..

* fix.. radar dbc..

* fix..

* fix.. jLead filter..

* test new radar interface..

* fix..

* fix..

* test time...

* Revert "test time..."

This reverts commit 63e9187736.

* fix radar..

* fix..

* FireHose model..

* tinygrad

* Update interface.py

* fix..

* fix.. nff toyota corolla_tss2

* fix..

* fix..

* fix.. radar

* fix..

* fix.. radar, y_gate

* fix.. radar..

* fix.. for clone..

* scc radar enable at low speed..

* fix.. settings..

* fix.

* fix..

* fix.. radarTimeStep.

* TR16 model again..

* RELEASE.md

* fix cut-in detection...

* fix.. registeration timeout 15sec..

* fix..

* fix.. radar processing.

* fix..

* fix..

* fix..

* fix..

* fix..

* fix..

2025-09-05 15:43:10 +09:00

scripts

Carrot2-v9

2025-08-03 19:15:56 +09:00

training_submission_v4.0/tinycorp

Carrot2-v9

2025-08-03 19:15:56 +09:00

training_submission_v4.1/tinycorp

Carrot2-v9

2025-08-03 19:15:56 +09:00

training_submission_v5.0/tinycorp

Carrot2-v9

2025-08-03 19:15:56 +09:00

training_submission_v5.1/tinycorp

TR16 Model, fix radar routine (#211 )

2025-09-05 15:43:10 +09:00

dataloader.py

TR16 Model, fix radar routine (#211 )

2025-09-05 15:43:10 +09:00

helpers.py

Carrot2-v9

2025-08-03 19:15:56 +09:00

initializers.py

Carrot2-v9

2025-08-03 19:15:56 +09:00

losses.py

Carrot2-v9

2025-08-03 19:15:56 +09:00

lr_schedulers.py

Carrot2-v9

2025-08-03 19:15:56 +09:00

metrics.py

Carrot2-v9

2025-08-03 19:15:56 +09:00

model_eval.py

TR16 Model, fix radar routine (#211 )

2025-09-05 15:43:10 +09:00

model_spec.py

Carrot2-v9

2025-08-03 19:15:56 +09:00

model_train.py

TR16 Model, fix radar routine (#211 )

2025-09-05 15:43:10 +09:00

README

Carrot2-v9

2025-08-03 19:15:56 +09:00

README

Each model should be a clean single file.
They are imported from the top level `models` directory

It should be capable of loading weights from the reference imp.

We will focus on these 5 models:

# Resnet50-v1.5 (classic) -- 8.2 GOPS/input
# Retinanet
# 3D UNET (upconvs)
# RNNT
# BERT-large (transformer)

They are used in both the training and inference benchmark:
https://mlcommons.org/en/training-normal-21/
https://mlcommons.org/en/inference-edge-30/
And we will submit to both.

NOTE: we are Edge since we don't have ECC RAM