Files
dragonpilot/selfdrive/modeld/compile_dm_warp.py
Vehicle Researcher 6adb63b915 openpilot v0.11.1 release
date: 2026-06-04T09:49:56
master commit: c0ab3550eca2e9daf197c46b7e4b24aa9637cf2e
2026-06-04 09:50:05 -07:00

57 lines
2.0 KiB
Python
Executable File

#!/usr/bin/env python3
import argparse
import pickle
import time
from tinygrad.tensor import Tensor
from tinygrad.device import Device
from tinygrad.engine.jit import TinyJit
from openpilot.system.camerad.cameras.nv12_info import get_nv12_info
from openpilot.selfdrive.modeld.compile_modeld import NV12Frame, warp_perspective_tinygrad, _parse_size
def make_warp_dm(nv12: NV12Frame, dm_w, dm_h):
cam_w, cam_h, stride, _, _, _ = nv12
stride_pad = stride - cam_w
def warp_dm(input_frame, M_inv):
M_inv = M_inv.to(Device.DEFAULT).realize()
return warp_perspective_tinygrad(input_frame[:cam_h*stride], M_inv,
(dm_w, dm_h), (cam_h, cam_w), stride_pad, border_fill_val=16).reshape(-1, dm_h * dm_w) # Y
return warp_dm
def compile_dm_warp(nv12: NV12Frame, dm_w, dm_h, pkl_path):
print(f"Compiling DM warp for {nv12.width}x{nv12.height} -> {dm_w}x{dm_h}...")
warp_dm_jit = TinyJit(make_warp_dm(nv12, dm_w, dm_h), prune=True)
for i in range(10):
frame = Tensor.randint(nv12.size, low=0, high=256, dtype='uint8').realize()
M_inv = Tensor(Tensor.randn(3, 3).mul(8).realize().numpy(), device='NPY')
Device.default.synchronize()
st = time.perf_counter()
warp_dm_jit(frame, M_inv).realize()
mt = time.perf_counter()
Device.default.synchronize()
et = time.perf_counter()
print(f" [{i+1}/10] enqueue {(mt-st)*1e3:6.2f} ms -- total {(et-st)*1e3:6.2f} ms")
with open(pkl_path, "wb") as f:
pickle.dump(warp_dm_jit, f)
print(f" Saved to {pkl_path}")
if __name__ == "__main__":
p = argparse.ArgumentParser()
p.add_argument('--camera-resolution', type=_parse_size, required=True, help='camera resolution WxH')
p.add_argument('--warp-to', type=_parse_size, required=True, help='DM input WxH')
p.add_argument('--output', required=True)
args = p.parse_args()
cam_w, cam_h = args.camera_resolution
nv12 = NV12Frame(cam_w, cam_h, *get_nv12_info(cam_w, cam_h))
dm_w, dm_h = args.warp_to
compile_dm_warp(nv12, dm_w, dm_h, args.output)