mtcnn_facenet_cpp_tensorRT
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Face Recognition on NVIDIA Jetson (Nano) using TensorRT
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. 
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...