报错提示：

RuntimeError: BlobReader error： The version of imported blob doesn't match graph_transformer

解决方法：

这是因为你的模型版本和openvino版本不匹配，用下面这个代码看一下你的模型要求哪个版本的openvino。

#!/usr/bin/env python3
# coding=utf-8
import argparse
import json
from pathlib import Path
import depthai as dai


parser = argparse.ArgumentParser()
parser.add_argument("blob_path", type=str, help="blob's path")
args = parser.parse_args()


def get_info(tensor):
    return {
        "name": tensor.name,
        "dataType": tensor.dataType.name,
        "dims": tensor.dims[::-1],
        "numDimensions": tensor.numDimensions,
        "offset": tensor.offset,
        "order": tensor.order.name,
        "strides": tensor.strides,
    }


blobPath = Path(args.blob_path)
net = dai.OpenVINO.Blob(blobPath.as_posix())

networkInputs = net.networkInputs
for name, networkInput in networkInputs.items():
    networkInputs[name] = get_info(networkInput)

networkOutputs = net.networkOutputs
for name, networkOutput in networkOutputs.items():
    networkOutputs[name] = get_info(networkOutput)

print("Supported OpenVINO versions:")
for version in dai.OpenVINO.getVersions():
    print("\t" + version.name)

print("Blob OpenVINO Version: {}".format(net.version.name))
print("OpenVINO version of blob is supported: {}".format(net.version in dai.OpenVINO.getVersions()))
print("")

blob_info = json.dumps(
    {
        "networkInputs": networkInputs,
        "networkOutputs": networkOutputs,
        "openvinoVersion": net.version.name
    },
    sort_keys=True,
    indent=4,
)
print(f"{blobPath.name}: \n", blob_info)
blobPath.with_suffix(".json").write_text(blob_info)

下面这个是官方默认的获取OAK设备blob信息的代码：

#!/usr/bin/env python3
# coding=utf-8
import argparse
import json
from pathlib import Path
import depthai as dai


parser = argparse.ArgumentParser()
parser.add_argument("blob_path", type=str, help="blob's path")
args = parser.parse_args()



def get_info(tensor):
    return {
        "name": tensor.name,
        "dataType": tensor.dataType.name,
        "dims": tensor.dims[::-1],
        "numDimensions": tensor.numDimensions,
        "offset": tensor.offset,
        "order": tensor.order.name,
        "strides": tensor.strides,
    }


blobPath = Path(args.blob_path)
net = dai.OpenVINO.Blob(blobPath.as_posix())

networkInputs = net.networkInputs
for name, networkInput in networkInputs.items():
    networkInputs[name] = get_info(networkInput)

networkOutputs = net.networkOutputs
for name, networkOutput in networkOutputs.items():
    networkOutputs[name] = get_info(networkOutput)

blob_info = json.dumps(
    {"networkInputs": networkInputs, "networkOutputs": networkOutputs},
    sort_keys=True,
    indent=4,
)
print(f"{blobPath.name}: \n", blob_info)
blobPath.with_suffix(".json").write_text(blob_info)