I am trying to use zbarcam as a qr code reader.
Build System: Buildroot
Hardware: NXP iMX8MM custom board.
Camera: Omnivision camera
Camera driver was ported successfully and I can run it successfully. I am getting the following error message when I am running the zbarcam app.
Can someone please help me with how to proceed with debugging ?
# zbarcam --verbose=9
_zbar_video_open: opened camera dunknown pixelformat:' '
evice /dev/video0 (fd=5)
_zbar_vmx6s-csi 32e20000.csi1_bridge: Fourcc format (0x00000000) invalid.
unknown pixelformat:' '
4l2_probe: i.MX6S_CSI on platformmx6s-csi 32e20000.csi1_bridge: Fourcc format (0x00000000) invalid.
:32e20000.csi1_bridge driver mx6s-csi (version 5.4.24)
_zbar_v4l2_probe: capabilities: CAPTURE READWRITE STREAMING
v4l2_reset_crop: crop bounds: 0 x 0 # (0, 0)
v4l2_reset_crop: current crop win: 0 x 0 # (0, 0) aspect 1 / 1
v4l2_probe_formats: enumerating supported formats:
v4l2_probe_formats: [0] RGB3 : RGB3 EMULATED
v4l2_probe_formats: [1] BGR3 : BGR3 EMULATED
v4l2_probe_formats: [2] YU12 : YU12 EMULATED
v4l2_probe_formats: [3] YV12 : YV12 EMULATED
v4l2_probe_formats: Max supported size: 0 x 0
v4l2_probe_formats: Found 0 formats and 4 emulated formats.
v4l2_probe_formats: current format: (00000000) 0 x 0 INTERLACED (line=0x0 size=0x0)
v4l2_probe_formats: setting requested size: 40960 x 30720
v4l2_probe_formats: set FAILED...trying to recover original format
v4l2_probe_formats: final format: (00000000) 0 x 0 INTERLACED (line=0x0 size=0x0)
WARNING: zbar video in v4l2_probe_iomode():
system error: USERPTR failed. Falling back to mmap: Invalid argument (22)
_zbar_v4l2_probe: using I/O mode: MMAP
ERROR: zbar processor in _zbar_processor_open():
unsupported request: not compiled with output window support
ERROR: zbar processor in zbar_processor_init():
system error: spawning input thread: Invalid argument (22)
ERROR: zbar processor in zbar_processor_init():
system error: spawning input thread: Invalid argument (22)
Thanks,
Avijit
Related
I am using below command to start the training of deepspeech model
%cd /content/DeepSpeech
!python3 DeepSpeech.py \
--drop_source_layers 2 --scorer /content/DeepSpeech/data/lm/kenlm-nigerian.scorer\
--train_cudnn True --early_stop True --es_epochs 6 --n_hidden 2048 --epochs 5 \
--export_dir /content/models/ --checkpoint_dir /content/model_checkpoints/ \
--train_files /content/train.csv --dev_files /content/dev.csv --test_files /content/test.csv \
--learning_rate 0.0001 --train_batch_size 64 --test_batch_size 32 --dev_batch_size 32 --export_file_name 'he_model_5' \
--max_to_keep 3
I keep getting following error again and again.
(0) Invalid argument: Not enough time for target transition sequence (required: 28, available: 24)0You can turn this error into a warning by using the flag ignore_longer_outputs_than_inputs
(1) Invalid argument: Not enough time for target transition sequence (required: 28, available: 24)0You can turn this error into a warning by using the flag ignore_longer_outputs_than_inputs
Following worked for me
Go to
DeepSpeech/training/deepspeech_training/train.py
Now look for following particular line (Normally in 240-250)
total_loss = tfv1.nn.ctc_loss(labels=batch_y, inputs=logits, sequence_length=batch_seq_len)
Change it to as following
total_loss = tfv1.nn.ctc_loss(labels=batch_y, inputs=logits, sequence_length=batch_seq_len, )
Im trying to train my own dataset on SegNet (with caffe), I prepared the dataset same as segnet tutorial. when I try to run the train, it shows me this error:
I0915 08:33:50.851986 49060 net.cpp:482] Collecting Learning Rate and Weight Decay.
I0915 08:33:50.852017 49060 net.cpp:247] Network initialization done.
I0915 08:33:50.852030 49060 net.cpp:248] Memory required for data: 1064448016
I0915 08:33:50.852730 49060 solver.cpp:42] Solver scaffolding done.
I0915 08:33:50.853065 49060 solver.cpp:250] Solving VGG_ILSVRC_16_layer
I0915 08:33:50.853080 49060 solver.cpp:251] Learning Rate Policy: step
F0915 08:33:51.324506 49060 math_functions.cu:123] Check failed: status == CUBLAS_STATUS_SUCCESS (11 vs. 0) CUBLAS_STATUS_MAPPING_ERROR
*** Check failure stack trace: ***
# 0x7fa27a0d3daa (unknown)
# 0x7fa27a0d3ce4 (unknown)
# 0x7fa27a0d36e6 (unknown)
# 0x7fa27a0d6687 (unknown)
# 0x7fa27a56946e caffe::caffe_gpu_asum<>()
# 0x7fa27a54b264 caffe::SoftmaxWithLossLayer<>::Forward_gpu()
# 0x7fa27a440b29 caffe::Net<>::ForwardFromTo()
# 0x7fa27a440f57 caffe::Net<>::ForwardPrefilled()
# 0x7fa27a436745 caffe::Solver<>::Step()
# 0x7fa27a43707f caffe::Solver<>::Solve()
# 0x406676 train()
# 0x404bb1 main
# 0x7fa2795e5f45 (unknown)
# 0x40515d (unknown)
# (nil) (unknown)
my dataset is .jpg (train) .png (labels gray-scale images) and .txt file as in the tutorial. what can be the problem? thanks for helping
The ground-truth images should be 1 channel 0-255 images without alpha layer, so the NN will recognise the difference between the classes.
img = Image.open(filename).convert('L') # Not 'LA' (A - alpha)
Thanks to isn4, Here is the resolution:
Turns out you have to change the range of the pixel values as well as the actual number of pixel values. Segnet gets confused if you have 256 possible pixel values (0-255) and don't have class weightings for each of them. So I changed all of my PNG label images from 255 and 0 as the pixel possibilities to 1 and 0 as the pixel possibilities.
Here's my python script for doing so:
import os
import cv2
import numpy as np
img = cv2.imread('/usr/local/project/old_png_labels/label.png, 0)
a_img = np.array(img, np.double)
normalized = cv2.normalize(img, a_img, 1.0, 0.0, cv2.NORM_MINMAX)
cv2.imwrite('/usr/local//project/png_labels/label.png, normalized)
The following Python code that adds three files to a GES timeline throws up the following error that others have also had:
(GError('Your GStreamer installation is missing a plug-in.',), 'gstdecodebin2.c(3928): gst_decode_bin_expose (): /GESPipeline:gespipeline0/GESTimeline:gestimeline0/GESVideoTrack:gesvideotrack0/GnlComposition:gnlcomposition1/GnlSource:gnlsource0/GstBin:videosrcbin/GstURIDecodeBin:uridecodebin0/GstDecodeBin:decodebin4:\nno suitable plugins found')
from gi.repository import GES
from gi.repository import GstPbutils
from gi.repository import Gtk
from gi.repository import Gst
from gi.repository import GObject
import sys
import signal
VIDEOPATH = "file:///path/to/my/video/folder/"
class Timeline:
def __init__(self, files):
print Gst._version # prints 1
self.pipeline = GES.Pipeline()
container_caps = Gst.Caps.new_empty_simple("video/quicktime")
video_caps = Gst.Caps.new_empty_simple("video/x-h264")
audio_caps = Gst.Caps.new_empty_simple("audio/mpeg")
self.container_profile = GstPbutils.EncodingContainerProfile.new("jane_profile", "mp4 concatation", container_caps, None )#Gst.Caps("video/mp4", None))
self.video_profile = GstPbutils.EncodingVideoProfile.new(video_caps, None, None, 0)
self.audio_profile = GstPbutils.EncodingAudioProfile.new(audio_caps, None, None, 0)
self.container_profile.add_profile(self.video_profile)
self.container_profile.add_profile(self.audio_profile)
self.bus = self.pipeline.get_bus()
self.bus.add_signal_watch()
self.bus.connect("message", self.busMessageCb)
self.timeline = GES.Timeline.new_audio_video()
self.layer = self.timeline.append_layer()
signal.signal(signal.SIGINT, self.handle_sigint)
self.start_on_timeline = 0
for file in files:
asset = GES.UriClipAsset.request_sync(VIDEOPATH + file)
print asset.get_duration()
duration = asset.get_duration()
clip = self.layer.add_asset(asset, self.start_on_timeline, 0, duration, GES.TrackType.UNKNOWN)
self.start_on_timeline += duration
print 'start:' + str(self.start_on_timeline)
self.timeline.commit()
self.pipeline.set_timeline(self.timeline)
def handle_sigint(self, sig, frame):
Gtk.main_quit()
def busMessageCb(self, unused_bus, message):
print message
print message.type
if message.type == Gst.MessageType.EOS:
print "eos"
Gtk.main_quit()
elif message.type == Gst.MessageType.ERROR:
error = message.parse_error()
print (error)
Gtk.main_quit()
if __name__=="__main__":
GObject.threads_init()
Gst.init(None)
GES.init()
gv = GES.version() # prints 1.2
timeline = Timeline(['one.mp4', 'two.mp4', 'two.mp4'])
done = timeline.pipeline.set_render_settings('file:///home/directory/output.mp4', timeline.container_profile)
print 'done: {0}'.format(done)
timeline.pipeline.set_mode(GES.PipelineFlags.RENDER)
timeline.pipeline.set_state(Gst.State.PAUSED)
Gtk.main()
I have set the GST_PLUGIN_PATH_1_0 environment variable to "/usr/local/lib:/usr/local/lib/gstreamer-1.0:/usr/lib/x86_64-linux-gnu:/usr/lib/i386-linux-gnu/gstreamer-1.0"
I compiled and installed gstreamer1.0-1.2.4, together with the base, good, bad and ugly packages for that version. GES is installed with version 1.2.1 as this was the nearest to the gstreamer version I found. I also installed the libav-1.2.4.
The decodebin2 should be in base according to the make install log for plugin-base and is linked into libgstplayback, which is part of my GST_PLUGIN_PATH_1_0:
/usr/local/lib/gstreamer-1.0 libgstplayback_la-gstdecodebin2.lo
I do have gstreamer0.10 and the decodebin2 is there as a blacklisted version when I do 'gst-inspect-1.0 -b' as it sits in the gstreamer0.10 library path rather than on that for 1.0.
I tried clearing the ~/.cache/gstreamer files and running gst-inspect-1.0 again to regenerate the plugin registry but I still keep getting the error in the Python code. This sample code might be wrong as it is my first stab at writing a timeline using Gstreamer editing services. I am on Ubuntu Trusty or 14.04.
The file is an mp4 file which is why I installed gst-libav for the required libraries.
The output of MP4Box -info on the file is:
Movie Info *
Timescale 90000 - Duration 00:00:08.405
Fragmented File no - 2 track(s)
File suitable for progressive download (moov before mdat)
File Brand mp42 - version 0
Created: GMT Mon Aug 17 17:02:26 2015
File has no MPEG4 IOD/OD
Track # 1 Info - TrackID 1 - TimeScale 50000 - Duration 00:00:08.360
Media Info: Language "English" - Type "vide:avc1" - 209 samples
Visual Track layout: x=0 y=0 width=1920 height=1080
MPEG-4 Config: Visual Stream - ObjectTypeIndication 0x21
AVC/H264 Video - Visual Size 1920 x 1080
AVC Info: 1 SPS - 1 PPS - Profile Main # Level 4.2
NAL Unit length bits: 32
Pixel Aspect Ratio 1:1 - Indicated track size 1920 x 1080
Self-synchronized
Track # 2 Info - TrackID 2 - TimeScale 48000 - Duration 00:00:08.405
Media Info: Language "English" - Type "soun:mp4a" - 394 samples
MPEG-4 Config: Audio Stream - ObjectTypeIndication 0x40
MPEG-4 Audio MPEG-4 Audio AAC LC - 2 Channel(s) - SampleRate 48000 Synchronized on stream 1
log # pastebin.com/BjJ8Z5Bd for when I run 'GST_DEBUG=3,gnl*:5 python ./timeline1.py > timeline1.log 2>&1'
There is no "decodebin2" in GStreamer 1.x, which you're using here. It's just called "decodebin" now and is equivalent to "decodebin2" in 0.10.
Your problem here however is not that decodebin is not found. Your problem is that you're missing a plugin to play this specific media file. What kind of media file is it?
I need to increase the max size of BSON objects in Mongo. Since the BSON object size is not directly configurable, I've attempted to do this by changing the constant in the source and recompiling.
The problem is that any attempt to change const int BSONObjMaxUserSize = 16 * 1024 * 1024; to anything other than 16 in this file causes a crash when the boost library goes to compile.
Leaving BSONObjMaxUserSize as 16 compiles perfectly, but changing it to anything else fails. I've tried numerous options (8,32, even 7 for good measure.)
I'm experiencing this in version 2.6.6 stable.
In file included from src/third_party/boost/boost/type_traits/type_with_alignment.hpp:19:0,
from src/third_party/boost/boost/smart_ptr/make_shared.hpp:17,
from src/third_party/boost/boost/make_shared.hpp:15,
from src/third_party/boost/boost/smart_ptr.hpp:28,
from src/mongo/pch.h:50,
from src/mongo/db/dur_commitjob.cpp:31:
src/third_party/boost/boost/static_assert.hpp:124:85: error: invalid application of 'sizeof' to incomplete type 'boost::STATIC_ASSERTION_FAILURE<false>'
sizeof(::boost::STATIC_ASSERTION_FAILURE< BOOST_STATIC_ASSERT_BOOL_CAST( B ) >)>\
^
src/mongo/db/dur_commitjob.cpp:147:9: note: in expansion of macro 'BOOST_STATIC_ASSERT'
BOOST_STATIC_ASSERT( sizeof(void*)==4 || UncommittedBytesLimit > BSONObjMaxInternalSize * 6 );
^
src/third_party/boost/boost/static_assert.hpp:124:86: error: template argument 1 is invalid
sizeof(::boost::STATIC_ASSERTION_FAILURE< BOOST_STATIC_ASSERT_BOOL_CAST( B ) >)>\
^
src/mongo/db/dur_commitjob.cpp:147:9: note: in expansion of macro 'BOOST_STATIC_ASSERT'
BOOST_STATIC_ASSERT( sizeof(void*)==4 || UncommittedBytesLimit > BSONObjMaxInternalSize * 6 );
^
src/mongo/db/dur_commitjob.cpp:147:102: error: invalid type in declaration before ';' token
BOOST_STATIC_ASSERT( sizeof(void*)==4 || UncommittedBytesLimit > BSONObjMaxInternalSize * 6 );
^
In file included from src/third_party/boost/boost/filesystem/v3/path_traits.hpp:23:0,
from src/third_party/boost/boost/filesystem/v3/path.hpp:25,
from src/third_party/boost/boost/filesystem/path.hpp:31,
from src/mongo/util/paths.h:21,
from src/mongo/db/storage/durable_mapped_file.h:35,
from src/mongo/db/dur.h:34,
from src/mongo/db/dur_commitjob.h:34,
from src/mongo/db/dur_commitjob.cpp:33:
src/third_party/boost/boost/system/error_code.hpp:214:36: error: 'boost::system::posix_category' defined but not used [-Werror=unused-variable]
static const error_category & posix_category = generic_category();
^
src/third_party/boost/boost/system/error_code.hpp:215:36: error: 'boost::system::errno_ecat' defined but not used [-Werror=unused-variable]
static const error_category & errno_ecat = generic_category();
^
src/third_party/boost/boost/system/error_code.hpp:216:36: error: 'boost::system::native_ecat' defined but not used [-Werror=unused-variable]
static const error_category & native_ecat = system_category();
^
cc1plus: all warnings being treated as errors
scons: *** [build/linux2/normal/mongo/db/dur_commitjob.o] Error 1
scons: building terminated because of errors.
It's not been a problem here:
cloned 0ae940b456ceafc3a0d47 from github
changed builder.h:
diff --git a/src/mongo/bson/util/builder.h b/src/mongo/bson/util/builder.h
index ae31074..8e34aee 100644
--- a/src/mongo/bson/util/builder.h
+++ b/src/mongo/bson/util/builder.h
## -63,7 +63,7 ## namespace mongo {
update $push (append) operation
various db.eval() type operations
*/
- const int BSONObjMaxUserSize = 16 * 1024 * 1024;
+ const int BSONObjMaxUserSize = 24 * 1024 * 1024;
/*
Sometimes we need objects slightly larger - an object in the replication local.oplog
Compiles cleanly with scons -j 8. Here's my system information:
OS version
/tmp/mongo$ lsb_release -a
No LSB modules are available.
Distributor ID: Ubuntu
Description: Ubuntu 14.04.1 LTS
Release: 14.04
Codename: trusty
kernel version
/tmp/mongo$ uname -a
Linux desktop 3.13.0-37-generic #64-Ubuntu SMP Mon Sep 22 21:28:38 UTC 2014 x86_64 x86_64 x86_64 GNU/Linux
gcc version
/tmp/mongo$ gcc -v
Using built-in specs.
COLLECT_GCC=/usr/bin/gcc
COLLECT_LTO_WRAPPER=/usr/lib/gcc/x86_64-linux-gnu/4.8/lto-wrapper
Target: x86_64-linux-gnu
Configured with: ../src/configure -v --with-pkgversion='Ubuntu 4.8.2-19ubuntu1' --with-bugurl=file:///usr/share/doc/gcc-4.8/README.Bugs --enable-languages=c,c++,java,go,d,fortran,objc,obj-c++ --prefix=/usr --program-suffix=-4.8 --enable-shared --enable-linker-build-id --libexecdir=/usr/lib --without-included-gettext --enable-threads=posix --with-gxx-include-dir=/usr/include/c++/4.8 --libdir=/usr/lib --enable-nls --with-sysroot=/ --enable-clocale=gnu --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-gnu-unique-object --disable-libmudflap --enable-plugin --with-system-zlib --disable-browser-plugin --enable-java-awt=gtk --enable-gtk-cairo --with-java-home=/usr/lib/jvm/java-1.5.0-gcj-4.8-amd64/jre --enable-java-home --with-jvm-root-dir=/usr/lib/jvm/java-1.5.0-gcj-4.8-amd64 --with-jvm-jar-dir=/usr/lib/jvm-exports/java-1.5.0-gcj-4.8-amd64 --with-arch-directory=amd64 --with-ecj-jar=/usr/share/java/eclipse-ecj.jar --enable-objc-gc --enable-multiarch --disable-werror --with-arch-32=i686 --with-abi=m64 --with-multilib-list=m32,m64,mx32 --with-tune=generic --enable-checking=release --build=x86_64-linux-gnu --host=x86_64-linux-gnu --target=x86_64-linux-gnu
Thread model: posix
gcc version 4.8.2 (Ubuntu 4.8.2-19ubuntu1)
boost version
/tmp/mongo$ dpkg --status libboost-all-dev
Package: libboost-all-dev
Status: install ok installed
Priority: optional
Section: libdevel
Installed-Size: 26
Maintainer: Ubuntu Developers <ubuntu-devel-discuss#lists.ubuntu.com>
Architecture: amd64
Source: boost-defaults
Version: 1.54.0.1ubuntu1
I'm using QtEmbedded (4.8.0) on an ARM display device with 16bits color depth on the framebuffer (/dev/fb0). At this scenario we are getting the colors bits RED and BLUE exchanged.
We are using the following compile flags:
./configure -embedded arm -xplatform qws/linux-arm-gnueabi-g++ -prefix /home/rchaves/Toolchain -release -opensource -shared -fast -depths 16 -largefile -no-exceptions -no-accessibility -stl -no-sql-mysql -no-sql-psql -no-sql-oci -no-sql-odbc -no-sql-tds -no-sql-db2 -no-sql-sqlite -no-sql-sqlite2 -no-sql-ibase -no-qt3support -no-xmlpatterns -no-multimedia -no-audio-backend -no-phonon-backend -no-svg -no-webkit -no-javascript-jit -no-script -no-scripttools -no-declarative -no-declarative-debug -qt-zlib -qt-libtiff -qt-libpng -qt-libmng -qt-libjpeg -no-openssl -no-nis -no-cups -iconv -no-pch -no-dbus -qt-freetype -no-opengl -qt-gfx-linuxfb -qt-kbd-linuxinput -qt-mouse-tslib -nomake demos -nomake examples
And the following parameters to execute the application:
QWS_DISPLAY=LinuxFb:/dev/fb0:depth=16 ./app -qws
Here there are the application framebuffer (samples) log:
The framebuffer device was opened successfully.
Fixed screen info:
id: DISP3 BG
smem_start: 0x93800000
smem_len: 7864320
type: 0
type_aux: 0
visual: 2
xpanstep: 1
ypanstep: 1
ywrapstep: 0
line_length: 2048
mmio_start: 0x0
mmio_len: 0
accel: 0
The framebuffer device was mapped to memory successfully.
Successfully switched to graphics mode.
Variable screen info:
xres: 1024
yres: 768
xres_virtual: 1024
yres_virtual: 3840
yoffset: 0
xoffset: 0
bits_per_pixel: 16
grayscale: 0
red: offset: 0, length: 5, msb_right: 0
green: offset: 5, length: 6, msb_right: 0
blue: offset: 11, length: 5, msb_right: 0
transp: offset: 0, length: 0, msb_right: 0
nonstd: 0
activate: 64
height: -1
width: -1
accel_flags: 0x0
pixclock: 15385
left_margin: 157
right_margin: 157
upper_margin: 16
lower_margin: 15
hsync_len: 5
vsync_len: 1
sync: 0
vmode: 0
Frame Buffer Performance test...
Average: 43020 usecs
Bandwidth: 174.338 MByte/Sec
Max. FPS: 23.245 fps
Will draw 3 rectangles on the screen,
they should be colored red, green and blue (in that order).
Done.
Better late than never. I had this exact problem with a SAM5 processor using Qt5.5.1 and the linuxfb plugin. Reconfigure or recompile the Qt5 framework will NOT solve the problem.
Apparently the LinuxFB plugin does not support the BGR format. There is an open bug tracking this issue. Check the determineFormat function in ../src/plugins/platforms/linuxfb/qlinuxfbscreen.cpp, in which you will find out that the ImageFormats are hardcoded to **RGB no matter what kind of framebuffer info was provided.
To solve the problem, applying the patch attached to the bug may help you to resolve this issue.
I said "may" because my framebuffer driver was falsely reporting it is in the RBG format. So watch out for that. If that is the case, just hardcode the swapRgb flag until you fix your framebuffer driver.
Update: Try setting -depths generic in ./configure and run with -display linuxfb:genericcolors. This is as per this thread which discusses the problem.
Old answer: It sounds like your endian-ness of the display is swapped.
As per the documentation, you can try to pass the littleendian option to the display string. The other option is to consult the linux fb documentation about performing endian swaps.