I installed depthai environment a while ago (before 2022.1) so when I run oak depthai the virtual environment I installed will automatically select the 2021.4 version to run the blob. And the following is one example I encounter:
- I use blobconverter and select 2021.4 to compile my blob
- when I run the depthai program (including your code to report the blob.version), the error message shows up as below:
As you can see, something is wrong with the error message: it said the blob was compiled with uncompatible version and indicated that I am using 2021.4 but as you can see the blob.version reported 2021.4. (And I did compile it with 2021.4 blobcoverter!) What am I missing? Please advise. Thanks. (Do I need to upgrade my depthai to align to openvino_2022.1?)#your code report blob parameters blob.version= Version.VERSION_2021_4 Inputs Name: right, Type: DataType.U8F, Shape: [320, 240, 3, 1] Name: left, Type: DataType.U8F, Shape: [320, 240, 3, 1] Outputs Name: output, Type: DataType.FP16, Shape: [320, 240, 2, 1] #error messages below [184430106183EB0F00] [32.457] [NeuralNetwork(8)] [warning] Network compiled for 4 shaves, maximum available 12, compiling for 6 shaves likely will yield in better performance [184430106183EB0F00] [32.469] [NeuralNetwork(8)] [error] Neural network blob compiled with uncompatible openvino version. Selected openvino version 2021.4. If you want to select an explicit openvino version use: setOpenVINOVersion while creating pipeline. [184430106183EB0F00] [32.470] [NeuralNetwork(8)] [error] Neural network blob compiled with uncompatible openvino version. Selected openvino version 2021.4. If you want to select an explicit openvino version use: setOpenVINOVersion while creating pipeline.