Hello
I have been trying to the jetson-inference however I have been I keep geting this error
I am using a USB cam
./imagenet-camera --camera=dev/video0
[gstreamer] initialized gstreamer, version 1.14.5.0
[gstreamer] gstCamera::Create(‘dev/video0’) – invalid camera device requested
imagenet-camera: failed to initialize camera device
Hi abdallah.abusamaha, it looks like you are missing the leading / in front of “dev” - i.e. it should be /dev/video0 and not dev/video0
$ ./imagenet-camera --camera=/dev/video0
Thank you I didn’t notice that
I my gstreamer pauses every time due to ‘Internal data stream error’ I added a video converter between v4l2src and omxh264enc because the video format of my USB webcam is YUYV and it might be incompatible, so is there a way for it to work or do I need to use a different camera thank you
imagenet-camera: successfully initialized camera device
width: 1280
height: 720
depth: 24 (bpp)
imageNet – loading classification network model from:
– prototxt networks/googlenet.prototxt
– model networks/bvlc_googlenet.caffemodel
– class_labels networks/ilsvrc12_synset_words.txt
– input_blob ‘data’
– output_blob ‘prob’
– batch_size 1
[TRT] TensorRT version 5.1.6
[TRT] loading NVIDIA plugins…
[TRT] Plugin Creator registration succeeded - GridAnchor_TRT
[TRT] Plugin Creator registration succeeded - NMS_TRT
[TRT] Plugin Creator registration succeeded - Reorg_TRT
[TRT] Plugin Creator registration succeeded - Region_TRT
[TRT] Plugin Creator registration succeeded - Clip_TRT
[TRT] Plugin Creator registration succeeded - LReLU_TRT
[TRT] Plugin Creator registration succeeded - PriorBox_TRT
[TRT] Plugin Creator registration succeeded - Normalize_TRT
[TRT] Plugin Creator registration succeeded - RPROI_TRT
[TRT] Plugin Creator registration succeeded - BatchedNMS_TRT
[TRT] completed loading NVIDIA plugins.
[TRT] detected model format - caffe (extension ‘.caffemodel’)
[TRT] desired precision specified for GPU: FASTEST
[TRT] requested fasted precision for device GPU without providing valid calibrator, disabling INT8
[TRT] native precisions detected for GPU: FP32, FP16
[TRT] selecting fastest native precision for GPU: FP16
[TRT] attempting to open engine cache file networks/bvlc_googlenet.caffemodel.1.1.GPU.FP16.engine
[TRT] loading network profile from engine cache… networks/bvlc_googlenet.caffemodel.1.1.GPU.FP16.engine
[TRT] device GPU, networks/bvlc_googlenet.caffemodel loaded
[TRT] device GPU, CUDA engine context initialized with 2 bindings
[TRT] binding – index 0
– name ‘data’
– type FP32
– in/out INPUT
– # dims 3
– dim #0 3 (CHANNEL)
– dim #1 224 (SPATIAL)
– dim #2 224 (SPATIAL)
[TRT] binding – index 1
– name ‘prob’
– type FP32
– in/out OUTPUT
– # dims 3
– dim #0 1000 (CHANNEL)
– dim #1 1 (SPATIAL)
– dim #2 1 (SPATIAL)
[TRT] binding to input 0 data binding index: 0
[TRT] binding to input 0 data dims (b=1 c=3 h=224 w=224) size=602112
[TRT] binding to output 0 prob binding index: 1
[TRT] binding to output 0 prob dims (b=1 c=1000 h=1 w=1) size=4000
device GPU, networks/bvlc_googlenet.caffemodel initialized.
[TRT] networks/bvlc_googlenet.caffemodel loaded
imageNet – loaded 1000 class info entries
networks/bvlc_googlenet.caffemodel initialized.
[OpenGL] glDisplay – X screen 0 resolution: 1920x1080
[OpenGL] glDisplay – display device initialized
[gstreamer] opening gstCamera for streaming, transitioning pipeline to GST_STATE_PLAYING
[gstreamer] gstreamer changed state from NULL to READY ==> mysink
[gstreamer] gstreamer changed state from NULL to READY ==> videoconvert1
[gstreamer] gstreamer changed state from NULL to READY ==> capsfilter1
[gstreamer] gstreamer changed state from NULL to READY ==> videoconvert0
[gstreamer] gstreamer changed state from NULL to READY ==> capsfilter0
[gstreamer] gstreamer changed state from NULL to READY ==> v4l2src0
[gstreamer] gstreamer changed state from NULL to READY ==> pipeline0
[gstreamer] gstreamer changed state from READY to PAUSED ==> videoconvert1
[gstreamer] gstreamer changed state from READY to PAUSED ==> capsfilter1
[gstreamer] gstreamer changed state from READY to PAUSED ==> videoconvert0
[gstreamer] gstreamer changed state from READY to PAUSED ==> capsfilter0
[gstreamer] gstreamer stream status CREATE ==> src
[gstreamer] gstreamer changed state from READY to PAUSED ==> v4l2src0
[gstreamer] gstreamer changed state from READY to PAUSED ==> pipeline0
[gstreamer] gstreamer stream status ENTER ==> src
[gstreamer] gstreamer msg new-clock ==> pipeline0
[gstreamer] gstreamer msg stream-start ==> pipeline0
[gstreamer] gstreamer changed state from PAUSED to PLAYING ==> videoconvert1
[gstreamer] gstCamera onEOS
[gstreamer] gstreamer changed state from PAUSED to PLAYING ==> capsfilter1
[gstreamer] gstreamer changed state from PAUSED to PLAYING ==> videoconvert0
[gstreamer] gstreamer changed state from PAUSED to PLAYING ==> capsfilter0
[gstreamer] gstreamer changed state from PAUSED to PLAYING ==> v4l2src0
[gstreamer] gstreamer v4l2src0 ERROR Internal data stream error.
[gstreamer] gstreamer Debugging info: gstbasesrc.c(3055): gst_base_src_loop (): /GstPipeline:pipeline0/GstV4l2Src:v4l2src0:
streaming stopped, reason not-negotiated (-4)
[gstreamer] gstreamer changed state from READY to PAUSED ==> mysink
imagenet-camera: camera open for streaming
YUYV should work ok (same as YUY2). There shouldn’t be an omxh264enc in the pipeline, because it shouldn’t be encoding video. I would remove those changes and first check the supported resolutions of your camera:
$ sudo apt-get install v4l-utils
$ v4l2-ctl --list-formats-ext
What is the output of this for your camera? You should set the --width and --height parameters to one of the supported resolutions, like this:
./imagenet-camera --camera=/dev/video0 --width=640 --height=480
Also, it should print out the GStreamer pipeline it uses to initialize the camera device, please post that also (look for ‘gstCamera pipeline string:’ in the console)
Thank you I guess I was missing the v4l-utils
It works fine