Hello , i’ve tried your code and seem to be similar to the video course ( but i still don’t get the GUI interface of the AI models as shown above ):
what do i have to do next?
i’ve also tried re-run the ./docker/run.sh and something has been downloaded ( GB of files , with unknown names like in the picture above ) but still no GUI interface with all the models . I guess maybe i 've downloaded all the pretrained models ?
if i go to /data/networks it has only few files and it doesn’t look the same as shown in the video
- it seems that i have all the images in the image folder( animals , fruits … )
- the video stream is working ( usb camera ) but …
when i run " detectnet /dev/video0 " i get this error :
root@ubuntu:/jetson-inference# detectnet /dev/video0
[gstreamer] initialized gstreamer, version 1.16.3.0
[gstreamer] gstCamera -- attempting to create device v4l2:///dev/video0
[gstreamer] gstCamera -- found v4l2 device: Stereo Vision 1: Stereo Vision
[gstreamer] v4l2-proplist, device.path=(string)/dev/video0, udev-probed=(boolean)false, device.api=(string)v4l2, v4l2.device.driver=(string)uvcvideo, v4l2.device.card=(string)"Stereo\ Vision\ 1:\ Stereo\ Vision\ ", v4l2.device.bus_info=(string)usb-3610000.xhci-2.1, v4l2.device.version=(uint)330344, v4l2.device.capabilities=(uint)2225078273, v4l2.device.device_caps=(uint)69206017;
[gstreamer] gstCamera -- found 14 caps for v4l2 device /dev/video0
[gstreamer] [0] video/x-raw, format=(string)YUY2, width=(int)1280, height=(int)720, pixel-aspect-ratio=(fraction)1/1, framerate=(fraction){ 10/1, 5/1 };
[gstreamer] [1] video/x-raw, format=(string)YUY2, width=(int)960, height=(int)720, pixel-aspect-ratio=(fraction)1/1, framerate=(fraction){ 10/1, 5/1 };
[gstreamer] [2] video/x-raw, format=(string)YUY2, width=(int)800, height=(int)600, pixel-aspect-ratio=(fraction)1/1, framerate=(fraction)15/1;
[gstreamer] [3] video/x-raw, format=(string)YUY2, width=(int)640, height=(int)480, pixel-aspect-ratio=(fraction)1/1, framerate=(fraction){ 30/1, 15/1 };
[gstreamer] [4] video/x-raw, format=(string)YUY2, width=(int)640, height=(int)360, pixel-aspect-ratio=(fraction)1/1, framerate=(fraction)31/1;
[gstreamer] [5] video/x-raw, format=(string)YUY2, width=(int)352, height=(int)288, pixel-aspect-ratio=(fraction)1/1, framerate=(fraction){ 30/1, 15/1 };
[gstreamer] [6] video/x-raw, format=(string)YUY2, width=(int)320, height=(int)240, pixel-aspect-ratio=(fraction)1/1, framerate=(fraction){ 30/1, 15/1 };
[gstreamer] [7] image/jpeg, width=(int)1280, height=(int)720, pixel-aspect-ratio=(fraction)1/1, framerate=(fraction){ 30/1, 25/1, 15/1 };
[gstreamer] [8] image/jpeg, width=(int)960, height=(int)720, pixel-aspect-ratio=(fraction)1/1, framerate=(fraction){ 30/1, 25/1, 15/1 };
[gstreamer] [9] image/jpeg, width=(int)800, height=(int)600, pixel-aspect-ratio=(fraction)1/1, framerate=(fraction)30/1;
[gstreamer] [10] image/jpeg, width=(int)640, height=(int)480, pixel-aspect-ratio=(fraction)1/1, framerate=(fraction){ 30/1, 15/1 };
[gstreamer] [11] image/jpeg, width=(int)640, height=(int)360, pixel-aspect-ratio=(fraction)1/1, framerate=(fraction)60/1;
[gstreamer] [12] image/jpeg, width=(int)352, height=(int)288, pixel-aspect-ratio=(fraction)1/1, framerate=(fraction){ 30/1, 15/1 };
[gstreamer] [13] image/jpeg, width=(int)320, height=(int)240, pixel-aspect-ratio=(fraction)1/1, framerate=(fraction){ 30/1, 15/1 };
[gstreamer] gstCamera -- selected device profile: codec=MJPEG format=unknown width=1280 height=720
[gstreamer] gstCamera pipeline string:
[gstreamer] v4l2src device=/dev/video0 do-timestamp=true ! image/jpeg, width=(int)1280, height=(int)720 ! jpegdec name=decoder ! video/x-raw ! appsink name=mysink sync=false
[gstreamer] gstCamera successfully created device v4l2:///dev/video0
[video] created gstCamera from v4l2:///dev/video0
------------------------------------------------
gstCamera video options:
------------------------------------------------
-- URI: v4l2:///dev/video0
- protocol: v4l2
- location: /dev/video0
-- deviceType: v4l2
-- ioType: input
-- codec: MJPEG
-- codecType: cpu
-- width: 1280
-- height: 720
-- frameRate: 30
-- numBuffers: 4
-- zeroCopy: true
-- flipMethod: none
------------------------------------------------
[OpenGL] glDisplay -- X screen 0 resolution: 1920x1080
[OpenGL] glDisplay -- X window resolution: 1920x1080
[OpenGL] glDisplay -- display device initialized (1920x1080)
[video] created glDisplay from display://0
------------------------------------------------
glDisplay video options:
------------------------------------------------
-- URI: display://0
- protocol: display
- location: 0
-- deviceType: display
-- ioType: output
-- width: 1920
-- height: 1080
-- frameRate: 0
-- numBuffers: 4
-- zeroCopy: true
------------------------------------------------
[TRT] downloading model SSD-Mobilenet-v2.tar.gz...
cd /usr/local/bin/networks ; wget --quiet --show-progress --progress=bar:force:noscroll --no-check-certificate https://nvidia.box.com/shared/static/jcdewxep8vamzm71zajcovza938lygre.gz -O SSD-Mobilenet-v2.tar.gz ; tar -xzvf SSD-Mobilenet-v2.tar.gz ; rm SSD-Mobilenet-v2.tar.gz
SSD-Mobilenet-v2.ta 100%[===================>] 59.61M 8.23MB/s in 7.3s
SSD-Mobilenet-v2/
SSD-Mobilenet-v2/ssd_coco_labels.txt
SSD-Mobilenet-v2/ssd_mobilenet_v2_coco.uff
[TRT] downloaded model SSD-Mobilenet-v2.tar.gz
detectNet -- loading detection network model from:
-- model networks/SSD-Mobilenet-v2/ssd_mobilenet_v2_coco.uff
-- input_blob 'Input'
-- output_blob 'NMS'
-- output_count 'NMS_1'
-- class_labels networks/SSD-Mobilenet-v2/ssd_coco_labels.txt
-- threshold 0.500000
-- batch_size 1
[TRT] TensorRT version 8.4.1
[TRT] loading NVIDIA plugins...
[TRT] Registered plugin creator - ::GridAnchor_TRT version 1
[TRT] Registered plugin creator - ::GridAnchorRect_TRT version 1
[TRT] Registered plugin creator - ::NMS_TRT version 1
[TRT] Registered plugin creator - ::Reorg_TRT version 1
[TRT] Registered plugin creator - ::Region_TRT version 1
[TRT] Registered plugin creator - ::Clip_TRT version 1
[TRT] Registered plugin creator - ::LReLU_TRT version 1
[TRT] Registered plugin creator - ::PriorBox_TRT version 1
[TRT] Registered plugin creator - ::Normalize_TRT version 1
[TRT] Registered plugin creator - ::ScatterND version 1
[TRT] Registered plugin creator - ::RPROI_TRT version 1
[TRT] Registered plugin creator - ::BatchedNMS_TRT version 1
[TRT] Registered plugin creator - ::BatchedNMSDynamic_TRT version 1
[TRT] Registered plugin creator - ::BatchTilePlugin_TRT version 1
[TRT] Could not register plugin creator - ::FlattenConcat_TRT version 1
[TRT] Registered plugin creator - ::CropAndResize version 1
[TRT] Registered plugin creator - ::CropAndResizeDynamic version 1
[TRT] Registered plugin creator - ::DetectionLayer_TRT version 1
[TRT] Registered plugin creator - ::EfficientNMS_TRT version 1
[TRT] Registered plugin creator - ::EfficientNMS_ONNX_TRT version 1
[TRT] Registered plugin creator - ::EfficientNMS_Explicit_TF_TRT version 1
[TRT] Registered plugin creator - ::EfficientNMS_Implicit_TF_TRT version 1
[TRT] Registered plugin creator - ::ProposalDynamic version 1
[TRT] Registered plugin creator - ::Proposal version 1
[TRT] Registered plugin creator - ::ProposalLayer_TRT version 1
[TRT] Registered plugin creator - ::PyramidROIAlign_TRT version 1
[TRT] Registered plugin creator - ::ResizeNearest_TRT version 1
[TRT] Registered plugin creator - ::Split version 1
[TRT] Registered plugin creator - ::SpecialSlice_TRT version 1
[TRT] Registered plugin creator - ::InstanceNormalization_TRT version 1
[TRT] Registered plugin creator - ::InstanceNormalization_TRT version 2
[TRT] Registered plugin creator - ::CoordConvAC version 1
[TRT] Registered plugin creator - ::DecodeBbox3DPlugin version 1
[TRT] Registered plugin creator - ::GenerateDetection_TRT version 1
[TRT] Registered plugin creator - ::MultilevelCropAndResize_TRT version 1
[TRT] Registered plugin creator - ::MultilevelProposeROI_TRT version 1
[TRT] Registered plugin creator - ::NMSDynamic_TRT version 1
[TRT] Registered plugin creator - ::PillarScatterPlugin version 1
[TRT] Registered plugin creator - ::VoxelGeneratorPlugin version 1
[TRT] Registered plugin creator - ::MultiscaleDeformableAttnPlugin_TRT version 1
[TRT] detected model format - UFF (extension '.uff')
[TRT] desired precision specified for GPU: FASTEST
[TRT] requested fasted precision for device GPU without providing valid calibrator, disabling INT8
[TRT] Unable to determine GPU memory usage
[TRT] Unable to determine GPU memory usage
[TRT] [MemUsageChange] Init CUDA: CPU +57, GPU +0, now: CPU 88, GPU 0 (MiB)
[TRT] CUDA initialization failure with error: 999. Please check your CUDA installation: http://docs.nvidia.com/cuda/cuda-installation-guide-linux/index.html
[TRT] DetectNativePrecisions() failed to create TensorRT IBuilder instance
[TRT] selecting fastest native precision for GPU: FP32
[TRT] could not find engine cache /usr/local/bin/networks/SSD-Mobilenet-v2/ssd_mobilenet_v2_coco.uff.1.1.8401.GPU.FP32.engine
[TRT] cache file invalid, profiling network model on device GPU
[TRT] Unable to determine GPU memory usage
[TRT] Unable to determine GPU memory usage
[TRT] [MemUsageChange] Init CUDA: CPU +22, GPU +0, now: CPU 121, GPU 0 (MiB)
[TRT] CUDA initialization failure with error: 999. Please check your CUDA installation: http://docs.nvidia.com/cuda/cuda-installation-guide-linux/index.html
Segmentation fault (core dumped)
