如何解决为什么我的 Nvidia Jetson Nano 找不到我的 CSI 摄像头？
我最近购买了 4Gb 的 nvidia jetson nano 微型计算机。第一次启动后，我创建了一个python环境并安装了一些库，如numpy、sklearn、pytorch、pandas等。之后，我想测试一个预构建模型以进行异议识别。更准确地说，我遵循了 Nvidia 的教程 Here。一切都按计划进行，没有错误，直到我尝试运行程序。我想我需要指定以下日志是我在两个 csi 相机上运行程序时的结果：Camera 1 和 Camera 2
在终端上使用 python my-detection.py 运行时。运行后，程序停止运行。以下是日志：
jetson.inference -- detectNet loading build-in network 'ssd-mobilenet-v2'
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 7.1.3
[TRT] loading NVIDIA plugins...
[TRT] Registered plugin creator - ::GridAnchor_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 - ::RPROI_TRT version 1
[TRT] Registered plugin creator - ::BatchednMS_TRT version 1
[TRT] Could not register plugin creator - ::FlattenConcat_TRT version 1
[TRT] Registered plugin creator - ::CropAndResize version 1
[TRT] Registered plugin creator - ::DetectionLayer_TRT 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] 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] native precisions detected for GPU: FP32,FP16
[TRT] selecting fastest native precision for GPU: FP16
[TRT] attempting to open engine cache file /usr/local/bin/networks/SSD-Mobilenet-
v2/ssd_mobilenet_v2_coco.uff.1.1.7103.GPU.FP16.engine
[TRT] loading network plan from engine cache... /usr/local/bin/networks/SSD-Mobilenet-
v2/ssd_mobilenet_v2_coco.uff.1.1.7103.GPU.FP16.engine
[TRT] device GPU,loaded /usr/local/bin/networks/SSD-Mobilenet-
v2/ssd_mobilenet_v2_coco.uff
[TRT] Using an engine plan file across different models of devices is not recommended
and is likely to affect performance or even cause errors.
[TRT] Deserialize required 6072963 microseconds.
[TRT]
[TRT] CUDA engine context initialized on device GPU:
[TRT] -- layers 117
[TRT] -- maxBatchSize 1
[TRT] -- workspace 0
[TRT] -- deviceMemory 35449856
[TRT] -- bindings 3
[TRT] binding 0
-- index 0
-- name 'Input'
-- type FP32
-- in/out INPUT
-- # dims 3
-- dim #0 3 (SPATIAL)
-- dim #1 300 (SPATIAL)
-- dim #2 300 (SPATIAL)
[TRT] binding 1
-- index 1
-- name 'NMS'
-- type FP32
-- in/out OUTPUT
-- # dims 3
-- dim #0 1 (SPATIAL)
-- dim #1 100 (SPATIAL)
-- dim #2 7 (SPATIAL)
[TRT] binding 2
-- index 2
-- name 'NMS_1'
-- type FP32
-- in/out OUTPUT
-- # dims 3
-- dim #0 1 (SPATIAL)
-- dim #1 1 (SPATIAL)
-- dim #2 1 (SPATIAL)
[TRT]
[TRT] binding to input 0 Input binding index: 0
[TRT] binding to input 0 Input dims (b=1 c=3 h=300 w=300) size=1080000
[TRT] binding to output 0 NMS binding index: 1
[TRT] binding to output 0 NMS dims (b=1 c=1 h=100 w=7) size=2800
[TRT] binding to output 1 NMS_1 binding index: 2
[TRT] binding to output 1 NMS_1 dims (b=1 c=1 h=1 w=1) size=4
[TRT]
[TRT] device GPU,/usr/local/bin/networks/SSD-Mobilenet-v2/ssd_mobilenet_v2_coco.uff
initialized.
[TRT] W = 7 H = 100 C = 1
[TRT] detectNet -- maximum bounding Boxes: 100
[TRT] detectNet -- loaded 91 class info entries
[TRT] detectNet -- number of object classes: 91
[gstreamer] initialized gstreamer,version 1.14.5.0
[gstreamer] gstCamera -- attempting to create device csi://0
[gstreamer] gstCamera pipeline string:
[gstreamer] nvarguscamerasrc sensor-id=0 ! video/x-raw(memory:NVMM),width=(int)1280,height=(int)720,framerate=30/1,format=(string)NV12 ! nvvidconv flip-method=2 ! video/x-
raw ! appsink name=mysink
[gstreamer] gstCamera successfully created device csi://0
[video] created gstCamera from csi://0
------------------------------------------------
gstCamera video options:
------------------------------------------------
-- URI: csi://0
- protocol: csi
- location: 0
-- deviceType: csi
-- ioType: input
-- codec: raw
-- width: 1280
-- height: 720
-- frameRate: 30.000000
-- bitRate: 0
-- numBuffers: 4
-- zerocopy: true
-- flipMethod: rotate-180
-- loop: 0
------------------------------------------------
[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
-- codec: raw
-- width: 1920
-- height: 1080
-- frameRate: 0.000000
-- bitRate: 0
-- numBuffers: 4
-- zerocopy: true
-- flipMethod: none
-- loop: 0
------------------------------------------------
[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 ==> capsfilter1
[gstreamer] gstreamer changed state from NULL to READY ==> nvvconv0
[gstreamer] gstreamer changed state from NULL to READY ==> capsfilter0
[gstreamer] gstreamer changed state from NULL to READY ==> nvarguscamerasrc0
[gstreamer] gstreamer changed state from NULL to READY ==> pipeline0
[gstreamer] gstreamer changed state from READY to PAUSED ==> capsfilter1
[gstreamer] gstreamer changed state from READY to PAUSED ==> nvvconv0
[gstreamer] gstreamer changed state from READY to PAUSED ==> capsfilter0
[gstreamer] gstreamer stream status CREATE ==> src
[gstreamer] gstreamer changed state from READY to PAUSED ==> nvarguscamerasrc0
[gstreamer] gstreamer changed state from READY to PAUSED ==> pipeline0
[gstreamer] gstreamer stream status ENTER ==> src
[gstreamer] gstreamer message new-clock ==> pipeline0
[gstreamer] gstreamer changed state from PAUSED to PLAYING ==> capsfilter1
[gstreamer] gstreamer changed state from PAUSED to PLAYING ==> nvvconv0
[gstreamer] gstreamer changed state from PAUSED to PLAYING ==> capsfilter0
[gstreamer] gstreamer message stream-start ==> pipeline0
[gstreamer] gstreamer changed state from PAUSED to PLAYING ==> nvarguscamerasrc0
Error
----------
generated. /dvs/git/dirty/git-master_linux/multimedia/nvgstreamer/gst-
nvarguscamera/gstnvarguscamerasrc.cpp,execute:645 No cameras available
[gstreamer] gstCamera -- end of stream (EOS)
(python:12329): GStreamer-CRITICAL **: 10:33:50.156: gst_mini_object_set_qdata: assertion
'object != NULL' Failed
我尝试运行奶酪网络摄像头，但屏幕显示“未找到设备”。这就是两个 csi 相机的结果。摄像头是 csi，但是当我插入它们时，红外摄像头的灯亮了，但是，正如我所说，摄像头不工作！
我做错了什么，我需要做一些我没有做过的事情吗？请帮帮我！
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