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我正在研究 jetson nano 并使用 hello ai world 提供的 jetson 库。我已经测试了库附带的基本算法，它们都运行良好，但我做了一些更改以使其在视频上运行
出现错误这是我的代码

import jetson.inference
import jetson.utils
import cv2

#import argparse
import sys
import numpy as np

width=720                          
height=480

vs=cv2.VideoCapture('b.m4v')                                #video input file

net = jetson.inference.detectNet("ssd-mobilenet-v2", threshold=0.5)   #loading the model
#camera = jetson.utils.gstCamera(1280, 720, "/dev/video0")       #using V4L2
display = jetson.utils.glDisplay()                            #initialting a display window




while display.IsOpen():
    _,frame = vs.read()                                 #reading a frmae
    img = cv2.cvtColor(frame, cv2.COLOR_BGR2BGRA)       #converting it to a bgra format for jetson util
    img = jetson.utils.cudaFromNumpy(img)               #converting image to cuda format from numpy array
    #img, width, height = camera.CaptureRGBA()
    detections = net.Detect(img, width, height)         #running detections on each image and saving the results in detections
    display.RenderOnce(img, width, height)              #display the output frame with detection 
    display.SetTitle("Object Detection | Network {:.0f} FPS".format(net.GetNetworkFPS()))         #display title for the output feed

这是错误： 

[OpenGL] glDisplay -- X screen 0 resolution:  1280x1024
[OpenGL] failed to create X11 Window.
jetson.utils -- PyDisplay_Dealloc()
Traceback (most recent call last):
  File "pool1.py", line 16, in <module>
    display = jetson.utils.glDisplay()                            #initialting a display window
Exception: jetson.utils -- failed to create glDisplay device
PyTensorNet_Dealloc()
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1 回答 1

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从技术上讲，这不是一个答案，但我认为这就是问题所在。

这是我的错误工作代码的日志

[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
device GPU, /usr/local/bin/networks/SSD-Mobilenet-v2/ssd_mobilenet_v2_coco.uff initialized.
W = 7 H = 100 C = 1
detectNet – maximum bounding boxes: 100
detectNet – loaded 91 class info entries
detectNet – number of object classes: 91
jetson.utils – PyDisplay_New()
jetson.utils – PyDisplay_Init()
[OpenGL] glDisplay – X screen 0 resolution: 1280x1024
[OpenGL] failed to create X11 Window.
jetson.utils – PyDisplay_Dealloc()
Traceback (most recent call last):
File “pool1.py”, line 18, in
display = jetson.utils.glDisplay() #initialting a display window
Exception: jetson.utils – failed to create glDisplay device
PyTensorNet_Dealloc()

这是内置 alog 工作的日志

[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
device GPU, /usr/local/bin/networks/SSD-Mobilenet-v2/ssd_mobilenet_v2_coco.uff initialized.
W = 7 H = 100 C = 1
detectNet – maximum bounding boxes: 100
detectNet – loaded 91 class info entries
detectNet – number of object classes: 91
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: 1280x1024
[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

你可以清楚地看到问题所在。

我的主要查询是 gstramer 甚至被 nano 上的 opencv 4.1.1 支持

于 2020-06-05T16:34:20.773 回答