Closed AlexanderGeng closed 4 years ago
gasparramoa
commented
4 years ago Hi!!! Probably is because you don't have the correct width and height specified for the device
Size: Discrete 640x480
By default, the discrete size is 1280 * 720.
v4l2src device=/dev/video0 ! video/x-raw, width=(int)1280, height=(int)720, format=YUY2 !
Just specify the discrete size like this:
python3 imagenet-camera.py --camera=/dev/video0 --width=640 --heigh=480
AlexanderGeng
commented
4 years ago Hi gasparramoa,
thanks for your answer. Unfortunately this results in the same error...
I have no idea what i can change.
gasparramoa
commented
4 years ago Hi gasparramoa,
thanks for your answer. Unfortunately this results in the same error...
I have no idea what i can change.
Sorry, the height parameter was badly written (heigh - height), don't know if you notice it.
Just do:
python3 imagenet-camera.py --camera=/dev/video0 --width=640 --height=480
AlexanderGeng
commented
4 years ago Yes I have noticed this. Unfortunately it has the same error message.
I have also tried to convert the images in RGBAf (float) instead of RGBA images but the code results in the same error
Hello,
i want to try the Jetson Nano with my Logitech C920 USB Cam. When i type
v4l2-ctl -d /dev/video0 --list-formats-extthis is showed to me:ioctl: VIDIOC_ENUM_FMT Index : 0 Type : Video Capture Pixel Format: 'YUYV' Name : YUYV 4:2:2 Size: Discrete 640x480 Interval: Discrete 0.033s (30.000 fps) Interval: Discrete 0.042s (24.000 fps) Interval: Discrete 0.050s (20.000 fps) Interval: Discrete 0.067s (15.000 fps) Interval: Discrete 0.100s (10.000 fps) Interval: Discrete 0.133s (7.500 fps) Interval: Discrete 0.200s (5.000 fps) Size: Discrete 160x90 Interval: Discrete 0.033s (30.000 fps) Interval: Discrete 0.042s (24.000 fps) Interval: Discrete 0.050s (20.000 fps) Interval: Discrete 0.067s (15.000 fps) Interval: Discrete 0.100s (10.000 fps) Interval: Discrete 0.133s (7.500 fps) Interval: Discrete 0.200s (5.000 fps) Size: Discrete 160x120 Interval: Discrete 0.033s (30.000 fps) Interval: Discrete 0.042s (24.000 fps) Interval: Discrete 0.050s (20.000 fps) Interval: Discrete 0.067s (15.000 fps) Interval: Discrete 0.100s (10.000 fps) Interval: Discrete 0.133s (7.500 fps) Interval: Discrete 0.200s (5.000 fps) Size: Discrete 176x144 Interval: Discrete 0.033s (30.000 fps) Interval: Discrete 0.042s (24.000 fps) Interval: Discrete 0.050s (20.000 fps) Interval: Discrete 0.067s (15.000 fps) Interval: Discrete 0.100s (10.000 fps) Interval: Discrete 0.133s (7.500 fps) Interval: Discrete 0.200s (5.000 fps) Size: Discrete 320x180 Interval: Discrete 0.033s (30.000 fps) Interval: Discrete 0.042s (24.000 fps) Interval: Discrete 0.050s (20.000 fps) Interval: Discrete 0.067s (15.000 fps) Interval: Discrete 0.100s (10.000 fps) Interval: Discrete 0.133s (7.500 fps) Interval: Discrete 0.200s (5.000 fps) Size: Discrete 320x240 Interval: Discrete 0.033s (30.000 fps) Interval: Discrete 0.042s (24.000 fps) Interval: Discrete 0.050s (20.000 fps) Interval: Discrete 0.067s (15.000 fps) Interval: Discrete 0.100s (10.000 fps) Interval: Discrete 0.133s (7.500 fps) Interval: Discrete 0.200s (5.000 fps) Size: Discrete 352x288 Interval: Discrete 0.033s (30.000 fps) Interval: Discrete 0.042s (24.000 fps) Interval: Discrete 0.050s (20.000 fps) Interval: Discrete 0.067s (15.000 fps) Interval: Discrete 0.100s (10.000 fps) Interval: Discrete 0.133s (7.500 fps) Interval: Discrete 0.200s (5.000 fps) Size: Discrete 432x240 Interval: Discrete 0.033s (30.000 fps) Interval: Discrete 0.042s (24.000 fps) Interval: Discrete 0.050s (20.000 fps) Interval: Discrete 0.067s (15.000 fps) Interval: Discrete 0.100s (10.000 fps) Interval: Discrete 0.133s (7.500 fps) Interval: Discrete 0.200s (5.000 fps) Size: Discrete 640x360 Interval: Discrete 0.033s (30.000 fps) Interval: Discrete 0.042s (24.000 fps) Interval: Discrete 0.050s (20.000 fps) Interval: Discrete 0.067s (15.000 fps) Interval: Discrete 0.100s (10.000 fps) Interval: Discrete 0.133s (7.500 fps) Interval: Discrete 0.200s (5.000 fps) Size: Discrete 800x448 Interval: Discrete 0.033s (30.000 fps) Interval: Discrete 0.042s (24.000 fps) Interval: Discrete 0.050s (20.000 fps) Interval: Discrete 0.067s (15.000 fps) Interval: Discrete 0.100s (10.000 fps) Interval: Discrete 0.133s (7.500 fps) Interval: Discrete 0.200s (5.000 fps) Size: Discrete 800x600 Interval: Discrete 0.042s (24.000 fps) Interval: Discrete 0.050s (20.000 fps) Interval: Discrete 0.067s (15.000 fps) Interval: Discrete 0.100s (10.000 fps) Interval: Discrete 0.133s (7.500 fps) Interval: Discrete 0.200s (5.000 fps) Size: Discrete 864x480 Interval: Discrete 0.042s (24.000 fps) Interval: Discrete 0.050s (20.000 fps) Interval: Discrete 0.067s (15.000 fps) Interval: Discrete 0.100s (10.000 fps) Interval: Discrete 0.133s (7.500 fps) Interval: Discrete 0.200s (5.000 fps) Size: Discrete 960x720 Interval: Discrete 0.067s (15.000 fps) Interval: Discrete 0.100s (10.000 fps) Interval: Discrete 0.133s (7.500 fps) Interval: Discrete 0.200s (5.000 fps) Size: Discrete 1024x576 Interval: Discrete 0.067s (15.000 fps) Interval: Discrete 0.100s (10.000 fps) Interval: Discrete 0.133s (7.500 fps) Interval: Discrete 0.200s (5.000 fps) Size: Discrete 1280x720 Interval: Discrete 0.100s (10.000 fps) Interval: Discrete 0.133s (7.500 fps) Interval: Discrete 0.200s (5.000 fps) Size: Discrete 1600x896 Interval: Discrete 0.133s (7.500 fps) Interval: Discrete 0.200s (5.000 fps) Size: Discrete 1920x1080 Interval: Discrete 0.200s (5.000 fps) Size: Discrete 2304x1296 Interval: Discrete 0.500s (2.000 fps) Size: Discrete 2304x1536 Interval: Discrete 0.500s (2.000 fps)
Now i want to try
python3 imagenet-camera.py --camera=/dev/video0this code but this is the only output:jetson.inference.init.py jetson.inference -- initializing Python 3.6 bindings... jetson.inference -- registering module types... jetson.inference -- done registering module types jetson.inference -- done Python 3.6 binding initialization jetson.utils.init.py jetson.utils -- initializing Python 3.6 bindings... jetson.utils -- registering module functions... jetson.utils -- done registering module functions jetson.utils -- registering module types... jetson.utils -- done registering module types jetson.utils -- done Python 3.6 binding initialization jetson.inference -- PyTensorNet_New() jetson.inference -- PyImageNet_Init() jetson.inference -- imageNet loading network using argv command line params jetson.inference -- imageNet.init() argv[0] = 'imagenet-camera.py' jetson.inference -- imageNet.init() argv[1] = '--camera=/dev/video0'
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. jetson.utils -- PyFont_New() jetson.utils -- PyFont_Init() jetson.utils -- PyCamera_New() jetson.utils -- PyCamera_Init() [gstreamer] initialized gstreamer, version 1.14.5.0 [gstreamer] gstCamera attempting to initialize with GST_SOURCE_NVARGUS, camera /dev/video0 [gstreamer] gstCamera pipeline string: v4l2src device=/dev/video0 ! video/x-raw, width=(int)1280, height=(int)720, format=YUY2 ! videoconvert ! video/x-raw, format=RGB ! videoconvert !appsink name=mysink [gstreamer] gstCamera successfully initialized with GST_SOURCE_V4L2, camera /dev/video0 jetson.utils -- PyDisplay_New() jetson.utils -- PyDisplay_Init() [OpenGL] glDisplay -- X screen 0 resolution: 1920x1200 [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] 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] gstCamera onPreroll [gstreamer] gstCamera -- allocated 16 ringbuffers, 2764800 bytes each [gstreamer] gstreamer changed state from READY to PAUSED ==> mysink [gstreamer] gstreamer msg async-done ==> pipeline0 [gstreamer] gstreamer changed state from PAUSED to PLAYING ==> mysink [gstreamer] gstreamer changed state from PAUSED to PLAYING ==> pipeline0 [gstreamer] gstCamera -- allocated 16 RGBA ringbuffers class 0480 - 0.227369 (cash machine, cash dispenser, automated teller machine, automatic teller machine, automated teller, automatic teller, ATM) class 0508 - 0.041246 (computer keyboard, keypad) class 0526 - 0.012678 (desk) class 0527 - 0.104097 (desktop computer) class 0553 - 0.027368 (file, file cabinet, filing cabinet) class 0598 - 0.023501 (home theater, home theatre) class 0620 - 0.056597 (laptop, laptop computer) class 0632 - 0.010347 (loudspeaker, speaker, speaker unit, loudspeaker system, speaker system) class 0662 - 0.011910 (modem) class 0664 - 0.080440 (monitor) class 0673 - 0.027049 (mouse, computer mouse) class 0681 - 0.037117 (notebook, notebook computer) class 0707 - 0.022077 (pay-phone, pay-station) class 0742 - 0.017533 (printer) class 0782 - 0.059778 (screen, CRT screen) class 0851 - 0.023409 (television, television system) [OpenGL] creating 1280x720 texture [cuda] cudaGraphicsGLRegisterBuffer(&mInteropCUDA, mDMA, cudaGraphicsRegisterFlagsWriteDiscard) [cuda] unknown error (error 30) (hex 0x1E) [cuda] /home/geng/jetson-inference/utils/display/glTexture.cpp:253
[TRT] ------------------------------------------------ [TRT] Timing Report networks/bvlc_googlenet.caffemodel [TRT] ------------------------------------------------ [TRT] Pre-Process CPU 0.04990ms CUDA 0.30786ms [TRT] Network CPU 20.25467ms CUDA 12.43911ms [TRT] Post-Process CPU 0.33928ms CUDA 0.33854ms [TRT] Total CPU 20.64385ms CUDA 13.08552ms [TRT] ------------------------------------------------
[TRT] note -- when processing a single image, run 'sudo jetson_clocks' before to disable DVFS for more accurate profiling/timing measurements
[cuda] cudaGetLastError() [cuda] unknown error (error 30) (hex 0x1E) [cuda] /home/geng/jetson-inference/utils/cuda/cudaRGB.cu:76 [cuda] cudaRGB8ToRGBA32((uchar3)input, (float4)mRGBA[mLatestRGBA], mWidth, mHeight) [cuda] unknown error (error 30) (hex 0x1E) [cuda] /home/geng/jetson-inference/utils/camera/gstCamera.cpp:275 [gstreamer] gstCamera failed to convert frame to RGBA Traceback (most recent call last): File "imagenet-camera.py", line 57, in
img, width, height = camera.CaptureRGBA()
Exception: jetson.utils -- gstCamera failed to CaptureRGBA()
PyTensorNet_Dealloc()
jetson.utils -- PyFont_Dealloc()
jetson.utils -- PyCamera_Dealloc()
[gstreamer] closing gstCamera for streaming, transitioning pipeline to GST_STATE_NULL
jetson.utils -- PyDisplay_Dealloc()
I don't know how to fix this. Has anybody an idea?