Thanks. I have the nvpmodel set to 0, which is the 10W mode. I have the 5V 4A 20W barrel connector power supply.
$ sudo nvpmodel --query
NVPM WARN: fan mode is not set!
NV Power Mode: MAXN
I do not have a fan on the CPU. There may be thermal throttling. Do you have a fan on your CPU?
Also, do you have any luck using C++ OpenCV applications on the Jetson? Do you have any advice?
$ g++ -L/usr/lib/aarch64-linux-gnu -I/usr/include/opencv4 frame.cpp -o frame -lopencv_videoio
/usr/bin/ld: /tmp/ccPItXPw.o: undefined reference to symbol '_ZN2cv8fastFreeEPv'
//usr/lib/aarch64-linux-gnu/libopencv_core.so.4.1: error adding symbols: DSO missing from command line
collect2: error: ld returned 1 exit status
I’d like to compare the C++ and Python module performance, but I can’t seem to build a C++ program.
$ cat frame.cpp
using namespace cv;
int main(int argc, char** argv)
// open the default camera, use something different from 0 otherwise;
// Check VideoCapture documentation.
cap >> frame;
if( frame.empty() ) break; // end of video stream
imshow("this is you, smile! :)", frame);
if( waitKey(10) == 27 ) break; // stop capturing by pressing ESC
// the camera will be closed automatically upon exit
I am running Jetpack 4.4.
I would like to get a demo such as open pose or other running. Do you have a suggestion?
This article indicates that I can’t use open pose on Jetpack 4.4 due to move to CuDNN 8.0 and lack of support in caffe for this newer version of CuDNN.
Question Update: 8/26/2020
I’m now trying to use cv2.VideoWriter on the Jetson, but there seems to be a general problem with writing to file. If anyone has it working, please let me know the technique.
This guy indicated that he had to recompile OpenCV from source. I have not been able to source compile OpenCV on the Jetson Nano.
OpenCV Video Write Problem - #2 by DaneLLL - Jetson TX2 - NVIDIA Developer Forums
Several other people are having problems.
cv2.VideoWriter doesn't work well on Jetson Nano - #2 by DaneLLL - Jetson Nano - NVIDIA Developer Forums
Update on OpenCV 4.4 with cuda
I managed to compile OpenCV 4.4 on the nano and install it.
>>> import cv2
*** CUDA Device Query (Runtime API) version (CUDART static linking) ***
Device count: 1
Device 0: "NVIDIA Tegra X1"
CUDA Driver Version / Runtime Version 10.20 / 10.20
CUDA Capability Major/Minor version number: 5.3
Total amount of global memory: 3956 MBytes (4148391936 bytes)
GPU Clock Speed: 0.92 GHz
Max Texture Dimension Size (x,y,z) 1D=(65536), 2D=(65536,65536), 3D=(4096,4096,4096)
Max Layered Texture Size (dim) x layers 1D=(16384) x 2048, 2D=(16384,16384) x 2048
Total amount of constant memory: 65536 bytes
Total amount of shared memory per block: 49152 bytes
Total number of registers available per block: 32768
Warp size: 32
Maximum number of threads per block: 1024
Maximum sizes of each dimension of a block: 1024 x 1024 x 64
Maximum sizes of each dimension of a grid: 2147483647 x 65535 x 65535
Maximum memory pitch: 2147483647 bytes
Texture alignment: 512 bytes
Concurrent copy and execution: Yes with 1 copy engine(s)
Default (multiple host threads can use ::cudaSetDevice() with device simultaneously)
deviceQuery, CUDA Driver = CUDART, CUDA Driver Version = 10.20, CUDA Runtime Version = 10.20, NumDevs = 1
This repo worked.
I have a 12V fan blowing on the heat sink. The Nano is supposed to use a 5V fan, but the only fan I had in my drawer was this 12V one. It works so far.