Opencv Darknet在Jetson Nano上出现索尼IMX219绿色屏幕问题

我目前正在尝试使用索尼IMX219相机在Jetson Nano上运行对象检测

我正在尝试使用照相机0运行darknet：

./darknet detector demo cfg/coco_znacenie.data cfg/yolov3-tiny_znacenie.cfg znacenie1.weights -c 0

输出为：

CUDA-version: 10000 (10000), cuDNN: 7.6.3, GPU count: 1  
 OpenCV version: 4.1.1
Demo
 compute_capability = 530, cudnn_half = 0 
net.optimized_memory = 0 
mini_batch = 1, batch = 2, time_steps = 1, train = 0 
   layer   filters  size/strd(dil)      input                output
   0 conv     16       3 x 3/ 1    416 x 416 x   3 ->  416 x 416 x  16 0.150 BF
   1 max                2x 2/ 2    416 x 416 x  16 ->  208 x 208 x  16 0.003 BF
   2 conv     32       3 x 3/ 1    208 x 208 x  16 ->  208 x 208 x  32 0.399 BF
   3 max                2x 2/ 2    208 x 208 x  32 ->  104 x 104 x  32 0.001 BF
   4 conv     64       3 x 3/ 1    104 x 104 x  32 ->  104 x 104 x  64 0.399 BF
   5 max                2x 2/ 2    104 x 104 x  64 ->   52 x  52 x  64 0.001 BF
   6 conv    128       3 x 3/ 1     52 x  52 x  64 ->   52 x  52 x 128 0.399 BF
   7 max                2x 2/ 2     52 x  52 x 128 ->   26 x  26 x 128 0.000 BF
   8 conv    256       3 x 3/ 1     26 x  26 x 128 ->   26 x  26 x 256 0.399 BF
   9 max                2x 2/ 2     26 x  26 x 256 ->   13 x  13 x 256 0.000 BF
  10 conv    512       3 x 3/ 1     13 x  13 x 256 ->   13 x  13 x 512 0.399 BF
  11 max                2x 2/ 1     13 x  13 x 512 ->   13 x  13 x 512 0.000 BF
  12 conv   1024       3 x 3/ 1     13 x  13 x 512 ->   13 x  13 x1024 1.595 BF
  13 conv    256       1 x 1/ 1     13 x  13 x1024 ->   13 x  13 x 256 0.089 BF
  14 conv    512       3 x 3/ 1     13 x  13 x 256 ->   13 x  13 x 512 0.399 BF
  15 conv     18       1 x 1/ 1     13 x  13 x 512 ->   13 x  13 x  18 0.003 BF
  16 yolo
[yolo] params: iou loss: mse (2), iou_norm: 0.75, cls_norm: 1.00, scale_x_y: 1.00
  17 route  13                                 ->   13 x  13 x 256 
  18 conv    128       1 x 1/ 1     13 x  13 x 256 ->   13 x  13 x 128 0.011 BF
  19 upsample                 2x    13 x  13 x 128 ->   26 x  26 x 128
  20 route  19 8                               ->   26 x  26 x 384 
  21 conv    256       3 x 3/ 1     26 x  26 x 384 ->   26 x  26 x 256 1.196 BF
  22 conv     18       1 x 1/ 1     26 x  26 x 256 ->   26 x  26 x  18 0.006 BF
  23 yolo
[yolo] params: iou loss: mse (2), iou_norm: 0.75, cls_norm: 1.00, scale_x_y: 1.00
Total BFLOPS 5.448 
avg_outputs = 324846 
 Allocate additional workspace_size = 13.11 MB 
Loading weights from znacenie1.weights...
 seen 64, trained: 320 K-images (5 Kilo-batches_64) 
Done! Loaded 24 layers from weights-file 
Webcam index: 0
[ WARN:0] global /home/nvidia/host/build_opencv/nv_opencv/modules/videoio/src/cap_gstreamer.cpp (1757) handleMessage OpenCV | GStreamer warning: Embedded video playback halted; module v4l2src0 reported: Internal data stream error.
[ WARN:0] global /home/nvidia/host/build_opencv/nv_opencv/modules/videoio/src/cap_gstreamer.cpp (886) open OpenCV | GStreamer warning: unable to start pipeline
[ WARN:0] global /home/nvidia/host/build_opencv/nv_opencv/modules/videoio/src/cap_gstreamer.cpp (480) isPipelinePlaying OpenCV | GStreamer warning: GStreamer: pipeline have not been created
Video stream: 3264 x 2464 

但摄像头的输入为绿色：

当我运行相机时，相机正在工作：

gst-launch-1.0 nvarguscamerasrc sensor_mode=0 ! 'video/x-raw(memory:NVMM),width=3280, height=2464, framerate=21/1, format=NV12' ! nvvidconv flip-method=0 ! 'video/x-raw,width=3280, height=2464' ! nvvidconv flip-method=2 ! nvegltransform ! nveglglessink -e

我试图用chromium测试我的相机，但chromium无法检测到相机：

我正在为我的Jetson Nano使用最新图像的干净安装，所有内容都是最新的。我已经尝试了不同版本的OpenCv，但没有任何进展

有人知道我该怎么做吗

编辑： 刚刚找到解决方法：

./darknet detector demo cfg/coco_znacenie.data cfg/yolov3-tiny_znacenie.cfg znacenie1.weights "nvarguscamerasrc ! video/x-raw(memory:NVMM), width=1920, height=1080, format=(string)NV12, framerate=(fraction)30/1 ! nvvidconv flip-method=2  ! video/x-raw, format=(string)BGRx ! videoconvert ! video/x-raw, format=(string)BGR ! appsink"