Hi,
My environment: Jetpack 3.3 (Cuda 9.0, TensorRT 4)+DeepStream1.5 for TX2
I run “nvgstiva-app -c ${HOME}/configs/PGIE-FP16-CarType-CarMake-CarColor.txt” and get correct result,
no matter what I config it for “1=CameraCSi” or “3=URI” in PGIE-FP16-CarType-CarMake-CarColor.txt.
But, when I run “nvgstiva-app -c config/nvgstiva-app_yolo_config.txt” in ~/deepstream-plugins-DS2,
only “3=URI” can be set in nvgstiva-app_yolo_config.txt and work correctly,
if “1=CameraCSi” was set in above file, the console show error messages:
------------> -----------------
** ERROR: <create_pipeline:1039>: Failed to link ‘multi_src_bin’ and ‘processing_bin_0’
** ERROR: <create_pipeline:1062>: create_pipeline failed
** ERROR: main:384: Failed to create pipeline
Quitting
App run failed
how to solve it for TX2 can run yolo to do the webcam objects detection under deepstream ?
<b>type</b>:<i> The type of the source. The other properties of the sourced depend on this type.</i>
1=Camera - NV Proprietary path (nvcamerasrc)
2=Camera - Open source V4L2 path (v4l2src) bypassing the ISP; this is suitable for use with USB cameras or CSI cameras that output in RGB or YUV formats.
3=URI - URI where an encoded stream is available (file/http/rtsp)
It is same result that use type=2 for the V4L2 camera.
Is there another modification in nvgstiva-app_yolo_config.txt?
same error message:
------------> -----------------
** ERROR: <create_pipeline:1039>: Failed to link ‘multi_src_bin’ and ‘processing_bin_0’
** ERROR: <create_pipeline:1062>: create_pipeline failed
** ERROR: main:384: Failed to create pipeline
Quitting
App run failed
We have checked this sample today and it works correctly on our side.
Please remember to re-compile the plugin component located at ‘sources/plugins/gst-yoloplugin-tegra’.
This will fix the error you shared in #3. You can find more information in our document: https://github.com/vat-nvidia/deepstream-plugins/tree/DS2#note
Thanks again, the situation is same as before even through I have re-build,
and this TX2 will be given back to another colleague, because our Xaivers are arrived.
Can you tell me which versions of Jetpack and deepstream should be installed to Xavier?
so that I can build deepstream-plugins to execute nvgstiva-app and yolo.
Hi,
Thanks very much, this new git repo has include deepstream-plugins?
so that I need not download deepstream-plugins?
If I need download deepstream-plugins, it can be builded and executed on DeepStreamSDK 3.0 and JetPack4.1.1?
@AastaLLL Today,I got the same error with TX2. I have do it with ‘Tegra users working with Deepstream 1.5 and Jetpack 3.3 will have to regenerate the .cache files to use the standard caffe models available in the SDK. This can be done by deleting all the .cache files in /home/nvidia/Model directory and all its subdirectories and then running the nvgstiva-app using the default config file.’. But it didn’t work. I disable ds-example in cfg file.It can run ,just display. So can you help us to check it.