Files
tinygrad/examples/yolov8-onnx.py
Karan Handa a8aa13dc91 [ready] Replacing os with pathlib (#1708)
* replace os.path with pathlib

* safe convert dirnames to pathlib

* replace all os.path.join

* fix cuda error

* change main chunk

* Reviewer fixes

* fix vgg

* Fixed everything

* Final fixes

* ensure consistency

* Change all parent.parent... to parents
2023-08-30 10:41:08 -07:00

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641 B
Python

#!/usr/bin/env python3
import os
from ultralytics import YOLO
import onnx
from pathlib import Path
from extra.onnx import get_run_onnx
from tinygrad.tensor import Tensor
os.chdir("/tmp")
if not Path("yolov8n-seg.onnx").is_file():
model = YOLO("yolov8n-seg.pt")
model.export(format="onnx", imgsz=[480,640])
onnx_model = onnx.load(open("yolov8n-seg.onnx", "rb"))
# TODO: move get example inputs to onnx
input_shapes = {inp.name:tuple(x.dim_value for x in inp.type.tensor_type.shape.dim) for inp in onnx_model.graph.input}
print(input_shapes)
run_onnx = get_run_onnx(onnx_model)
run_onnx({"images": Tensor.zeros(1,3,480,640)}, debug=True)