9c7833faf9
* Vegetarian Filet o Fish model * fix.. atc.. * test cluster_speed_limit * fix.. cluster_speed_limit.. 2 * fix.. clusterspeedlimit3 * cruise speed to roadlimit speed * fix.. * fix.. eng * deltaUp/Down for lanechange * fix.. atc desire... * fix.. * ff * ff * fix.. * fix.. eng * fix engsound * Update desire_helper.py * fix.. connect... * fix curve_min speed * Revert "fix curve_min speed" This reverts commit fcc9c2eb14eb3504abef3e420db93e8882e56f37. * Reapply "fix curve_min speed" This reverts commit 2d2bba476c58a7b4e13bac3c3ad0e4694c95515d. * fix.. auto speed up.. roadlimit * fix.. atc auto lanechange... * Update desire_helper.py * Update cruise.py * debug atc... * fix.. waze alert offset.. * fix.. * test atc.. * fix.. * fix.. atc * atc test.. * fix.. atc * fix.. atc2 * fix.. atc3 * KerryGold Model. latsmooth_sec = 0.0 * lat smooth seconds 0.13 * fix comment * fix.. auto cruise, and speed unit * change lanemode switching. * erase mazda lkas button.
16 lines
523 B
Python
16 lines
523 B
Python
#!/usr/bin/env python3
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import os
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from ultralytics import YOLO
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from pathlib import Path
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from tinygrad.frontend.onnx import OnnxRunner, onnx_load
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from extra.onnx_helpers import get_example_inputs
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from tinygrad.tensor import Tensor
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os.chdir("/tmp")
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if not Path("yolov8n-seg.onnx").is_file():
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model = YOLO("yolov8n-seg.pt")
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model.export(format="onnx", imgsz=[480,640])
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onnx_model = onnx_load(open("yolov8n-seg.onnx", "rb"))
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run_onnx = OnnxRunner(onnx_model)
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run_onnx(get_example_inputs(run_onnx.graph_inputs), debug=True)
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