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Face Recognition on NVIDIA Jetson (Nano) using TensorRT

Results 35 mtcnn_facenet_cpp_tensorRT issues
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I put my picture in ../imgs and run ./mtcnn_facenet_cpp_tensorRT, error :opencv resize.cpp:!ssize.empty() in function 'resize'

I'm trying to build and it shows the following error In file included from /usr/include/c++/5/cstdint:35:0, from /usr/include/x86_64-linux-gnu/NvInferRuntimeCommon.h:54, from /usr/include/x86_64-linux-gnu/NvInferRuntime.h:59, from /usr/include/x86_64-linux-gnu/NvInfer.h:53, from /usr/include/x86_64-linux-gnu/NvInferPlugin.h:53, from /mtcnn_facenet_cpp_tensorRT/trt_l2norm_helper/l2norm_helper.h:3, from /mtcnn_facenet_cpp_tensorRT/trt_l2norm_helper/l2norm_helper.cu:1: /usr/include/c++/5/bits/c++0x_warning.h:32:2: error: #error...

i tried to convert pb to uff file using jetson agx xavier on jetpack 5.0 with tensorflow 1.15 and got this error Traceback (most recent call last): File "step01_pb_to_uff.py", line...

Can you upgrade the project to deepstream 6.0 and cuda 11.4? Thank you so much. ![image](https://user-images.githubusercontent.com/9107549/147650467-659fd2a9-b6c5-4593-a0cd-f3340538c0f1.png)

Has anyone tested this with Jetpack 4.6? Is everything working as expected? In my jetson device, it is not working.

i tried with the VideoStreamer videoStreamer = VideoStreamer("rtsp://192.168.10.21:8554/unicast", videoFrameWidth, videoFrameHeight); in main.cpp but it is getting error which is shown below. End generating TensorRT runtime models Parsing Directory: ../imgs Segmentation...

I want to preview 1280x720 and other size,but it can't recognize the person,how should I modify the code?

Hi, i'm using this repo from a laptop with TensorRT (it's TensorRT 20.03 docker image), and also from a Jetson, the code works without problems in Jetson, the detections are...

Hi, I am using facenet with TensorRT for face recognition on jetson nano everything is working fine until my rtmp server restarts whenever it restarts I got this error on...

Hey, I created facenet_engine.plan file using the facenet.onnx file. When I ran the code for inference, it didn't gave any correct recognition results. I compared the embeddings (same image) generated...