According to the log you've send in the previous message, calling pytorch's load function has failed: try { #ifdef PYTORCH_VER_ATLEAST_1_2_0 model =

The actual tensor you've entered for tensor_filter is 3:640:640:1 (uint8) and you've stated that the tensor_filter needs to get 3:640:640:1 (float32).In other words, you are pushing uint8[640][640][3]

Hi dev. I’m trying to use yolov5s tensorscript.pt file that exported from yolov5 GitHub code with nnstreamer pipeline. I’m working on develop environment with

On Wed, Nov 10, 2021 at 05:23 PM, jnzhao@... wrote:>> Hi:> Before install the NNStreamer,i already installed OpenVINO R20.03. When i try> to run NNStreamer openvino,can't get any AI inference

Hi: Before install the NNStreamer,i already installed OpenVINO R20.03. When i try to run NNStreamer openvino,can't get any AI inference results.So my questions is: 1. Which version is supported by

No, we do not have official patches for meson v0.47 compatibility. However, there is a WIP (will be revived if I become available for hobby projects) patch for 0.49 and this might be helpful for your

We understand that to build nnstreamer v1.7.2 requires meson version >=0.50.0. But due to some platform dependency we are trying to build nnstreamer v1.7.2 with yocto meson version 0.47.0. Is it

On Thu, Aug 12, 2021 at 01:41 PM, shortcipher wrote: Thanks for the quick response! I tried that modification adding thethreshold and permuting the output tensor indices and I'm still getting

Thanks for the quick response! I tried that modification adding the threshold and permuting the output tensor indices and I'm still getting the same error. (I also tried all other permutations of

On Thu, Aug 12, 2021 at 12:09 PM, shortcipher wrote: I'm trying to get a tensorflow object detection model working, but I must bemissing something. I would appreciate some help. I'm using a model

On Wed, Jun 23, 2021 at 12:24 PM, MyungJoo Ham wrote: Dear NNStreamer Users and Developers, Making varying mime-types looks very ugly, I (and @jaeyun-jung, @sangjung-woo,and @anyj0527) have decided

I'm trying to get a tensorflow object detection model working, but I must be missing something. I would appreciate some help.I'm using a model from the

Dear NNStreamer Users and Developers, Making varying mime-types looks very ugly, I (and @jaeyun-jung, @sangjung-woo, and @anyj0527) have decided to consolidate tensor stream type definitions of GST

Dear All, We are going to introduce new tensor GStreamer data types (MIME). Conventional tensor types are other/tensor and other/tensors, which are statically typed tensors that required GST-CAP

> Sure, I can join the mailing list. We will be making our GStreamer plugin repository public in coming weeks. I would love to have your GStreamer plugins inter-operable with NNStreamer's

Hello, NNStreamer supports TF-lite 2.x (verified with 2.3). You may add TensorFlow-lite 2.3 bb file to https://github.com/nnstreamer/meta-neural-network if you want 2.3 in Yocto.

NNStreamer includes Yocto/OpenEmbedded’s meta-neural-network layer which has tensorflow-lite 1.15.2 dependency. Is there any update for a newer version tensorflow-lite 2.x available?

hello, i take the question back. I wrote faster than I thought :) somehow I can't get meaningful results and I didn't realize that we talked about openvino at nnstreamer. Dne út 9. 3. 2021 18:09

Hi, I wonder if it is possible to run openvinO support (USB stick NSC2) on nnstreamer? On my laptop the program runs fast, but on raspberry (ubuntu server) everything is slow. I get a speed of about

- The reason why you need two videoconverts in your pipeline is because the format required by cairooverlay+ximagesink (BGRx, BGRA, RGB16) is different from the format required by the neural