alro10 / yolo-darknet-on-jetson-tx2 Goto Github PK

Hi!
I'm working on running yolo on Tx2 Dev kit. I have installed all of requirements for yolo, OpenCV, CUDA, Cudnn.
I've tested if the onboard camera's working via gstreamer : gst-launch-1.0 nvarguscamerasrc ! nvvidconv ! xvimagesink
It works properly.
Then, I tried to run yolo by your code ./darknet detector demo cfg/coco.data cfg/yolo.cfg yolo.weights "nvcamerasrc ! video/x-raw(memory:NVMM), width=(int)1280, height=(int)720,format=(string)I420, framerate=(fraction)30/1 ! nvvidconv flip-method=0 ! video/x-raw, format=(string)BGRx ! videoconvert ! video/x-raw, format=(string)BGR ! appsink"
The result is "Video-stream stopped!"
How could i track the issue?
Thanks!

Can you compile this on Jetson Nano ?

Hey Alex,

thanks for your great github.

But unfortuantely the command for running the onboard camera on the jetson tx2 does not longer work.

Could you update it?

Would be awesome, thanks!

Gustav

Salut,

I am currently trying to implement object detection using darknet on JetsonTX2 Development Board.

I builded opencv using "https://github.com/raspberry-pi-maker/NVIDIA-Jetson". After building process I can import cv2 and getBuildInformation succesfully. Now my next step is to implement object detection with darknet and yolo.

However,eventough I can import opencv in python codes during the compilation process of the darknet I face with

gcc -Iinclude/ -Isrc/ -DOPENCV `pkg-config --cflags opencv`  -DGPU -I/usr/local/cuda/include/ -DCUDNN  -Wall -Wno-unused-result -Wno-unknown-pragmas -Wfatal-errors -fPIC -Ofast -DOPENCV -DGPU -DCUDNN -c ./src/gemm.c -o obj/gemm.o
gcc -Iinclude/ -Isrc/ -DOPENCV `pkg-config --cflags opencv`  -DGPU -I/usr/local/cuda/include/ -DCUDNN  -Wall -Wno-unused-result -Wno-unknown-pragmas -Wfatal-errors -fPIC -Ofast -DOPENCV -DGPU -DCUDNN -c ./src/utils.c -o obj/utils.o
gcc -Iinclude/ -Isrc/ -DOPENCV `pkg-config --cflags opencv`  -DGPU -I/usr/local/cuda/include/ -DCUDNN  -Wall -Wno-unused-result -Wno-unknown-pragmas -Wfatal-errors -fPIC -Ofast -DOPENCV -DGPU -DCUDNN -c ./src/cuda.c -o obj/cuda.o
gcc -Iinclude/ -Isrc/ -DOPENCV `pkg-config --cflags opencv`  -DGPU -I/usr/local/cuda/include/ -DCUDNN  -Wall -Wno-unused-result -Wno-unknown-pragmas -Wfatal-errors -fPIC -Ofast -DOPENCV -DGPU -DCUDNN -c ./src/deconvolutional_layer.c -o obj/deconvolutional_layer.o
Package opencv was not found in the pkg-config search path.
Perhaps you should add the directory containing `opencv.pc'
to the PKG_CONFIG_PATH environment variable
No package 'opencv' found
Package opencv was not found in the pkg-config search path.
Perhaps you should add the directory containing `opencv.pc'
to the PKG_CONFIG_PATH environment variable
No package 'opencv' found
Package opencv was not found in the pkg-config search path.
Perhaps you should add the directory containing `opencv.pc'
to the PKG_CONFIG_PATH environment variable
No package 'opencv' found
Package opencv was not found in the pkg-config search path.
Perhaps you should add the directory containing `opencv.pc'
to the PKG_CONFIG_PATH environment variable

when I check my enviroment variables I can not see any PKG_CONFIG_PATH
also installation of opencv did not produce opencv.pc file anywhere in jetson.

Hi there!

thanks for the nice walkthrough.
I found that you can even speed up yolo by overclocking the Jetson.
See this forum thread for reference.

./darknet detector demo cfg/coco.data cfg/yolo.cfg yolo.weights "nvcamerasrc ! video/x-raw(memory:NVMM), width=(int)1280, height=(int)720,format=(string)I420, framerate=(fraction)30/1 ! nvvidconv flip-method=0 ! video/x-raw, format=(string)BGRx ! videoconvert ! video/x-raw, format=(string)BGR ! appsink"

is throwing the following error
Couldn't connect to webcam.
: No such file or directory
darknet: ./src/utils.c:256: error: Assertion `0' failed.

Hello, can you tell me the memory usage of yolo v3 on TX2? Thanks a lot