• Jetson Xavier NX
• deepstream 5.1
• JetPack Version 4.5.1
While using deepstream connected to a gst camera feed I get the following error after approximately 20 minutes:
PosixMemMap:71 [12] mmap failed
nvbufsurface: NvBufSurfaceMap function failed
nvbufsurface: mapping of buffer (0) failed
nvbufsurface: error in mapping
get_nvds_buf_Surface: Failed to map buffer to CPU
Segmentation fault (core dumped)
I stripped down my program to minimize any outside issues as the following which still produces the error:
def startVideoStream(self):
# Standard GStreamer initialization
GObject.threads_init()
Gst.init(None)
# Create gstreamer elements
# Create Pipeline element that will form a connection of other elements
print("Creating Pipeline \n ")
pipeline = Gst.Pipeline()
if not pipeline:
sys.stderr.write(" Unable to create Pipeline \n")
# Source element for reading from camera
print("Creating Source \n ")
source = Gst.ElementFactory.make("v4l2src", "usb-cam-source")
if not source:
sys.stderr.write(" Unable to create Source \n")
caps_v4l2src = Gst.ElementFactory.make("capsfilter", "v4l2src_caps")
if not caps_v4l2src:
sys.stderr.write(" Unable to create v4l2src capsfilter \n")
print("Creating Video Converter \n")
# Adding videoconvert -> nvvideoconvert as not all
# raw formats are supported by nvvideoconvert;
# Say YUYV is unsupported - which is the common
# raw format for many logi usb cams
# In case we have a camera with raw format supported in
# nvvideoconvert, GStreamer plugins' capability negotiation
# shall be intelligent enough to reduce compute by
# videoconvert doing passthrough (TODO we need to confirm this)
# Use nvjpegdec for hardware accelerated decode on GPU
print("Creating jpegdec \n")
decoder = Gst.ElementFactory.make("jpegdec", "jpeg-decoder")
if not decoder:
sys.stderr.write(" Unable to create jpegdec Decoder \n")
caps_vidconvsrc = Gst.ElementFactory.make("capsfilter", "nvmm_caps")
if not caps_vidconvsrc:
sys.stderr.write(" Unable to create capsfilter \n")
# Create nvstreammux instance to form batches from one or more sources.
streammux = Gst.ElementFactory.make("nvstreammux", "Stream-muxer")
if not streammux:
sys.stderr.write(" Unable to create NvStreamMux \n")
# Use nvinfer to run inferencing on decoder's output,
# behaviour of inferencing is set through config file
pgie = Gst.ElementFactory.make("nvinfer", "primary-inference")
if not pgie:
sys.stderr.write(" Unable to create pgie \n")
tracker = Gst.ElementFactory.make("nvtracker", "tracker")
if not tracker:
sys.stderr.write(" Unable to create tracker \n")
# nvvideoconvert to convert incoming raw buffers to NVMM Mem (NvBufSurface API)
nvvidconv = Gst.ElementFactory.make("nvvideoconvert", "convertor")
if not nvvidconv:
sys.stderr.write(" Unable to create nvvidconv \n")
# Create OSD to draw on the converted RGBA buffer
nvosd = Gst.ElementFactory.make("nvmultistreamtiler", "onscreendisplay")#nvdsosd
if not nvosd:
sys.stderr.write(" Unable to create nvosd \n")
print("Creating EGLSink \n")
sink = Gst.ElementFactory.make("fakesink", "nvvideo-renderer")
if not sink:
sys.stderr.write(" Unable to create egl sink \n")
print("Playing cam /dev/video0")
source.set_property('device', "/dev/video0")
source.set_property('io-mode', 2)
caps_v4l2src.set_property('caps', Gst.Caps.from_string("image/jpeg,width=640,height=480,framerate=30/1"))
caps_vidconvsrc.set_property('caps', Gst.Caps.from_string("video/x-raw(memory:NVMM),format=RGBA"))
streammux.set_property('width', self.resolution.width)
streammux.set_property('height', self.resolution.height)
streammux.set_property('live-source', 1)
streammux.set_property('batch-size', 1)
streammux.set_property('batched-push-timeout', 4000000)
nvosd.set_property('rows', 1)
nvosd.set_property('columns', 1)
nvosd.set_property('width', 640)
nvosd.set_property('height', 480)
# Set sync = false to avoid late frame drops at the display-sink
sink.set_property('sync', False)
#Set properties of pgie and sgie
pgie.set_property('config-file-path', "/home/drone1/Documents/GroundControl2/ConfigFiles/dstest2_pgie_config.txt")
#Set properties of tracker
config = configparser.ConfigParser()
config.read('/home/drone1/Documents/GroundControl2/ConfigFiles/dstest2_tracker_config.txt')
config.sections()
for key in config['tracker']:
if key == 'tracker-width' :
tracker_width = config.getint('tracker', key)
tracker.set_property('tracker-width', tracker_width)
if key == 'tracker-height' :
tracker_height = config.getint('tracker', key)
tracker.set_property('tracker-height', tracker_height)
if key == 'gpu-id' :
tracker_gpu_id = config.getint('tracker', key)
tracker.set_property('gpu_id', tracker_gpu_id)
if key == 'll-lib-file' :
tracker_ll_lib_file = config.get('tracker', key)
tracker.set_property('ll-lib-file', tracker_ll_lib_file)
if key == 'll-config-file' :
tracker_ll_config_file = config.get('tracker', key)
tracker.set_property('ll-config-file', tracker_ll_config_file)
if key == 'enable-batch-process' :
tracker_enable_batch_process = config.getint('tracker', key)
tracker.set_property('enable_batch_process', tracker_enable_batch_process)
if key == 'enable-past-frame' :
tracker_enable_past_frame = config.getint('tracker', key)
tracker.set_property('enable_past_frame', tracker_enable_past_frame)
print("Adding elements to Pipeline \n")
pipeline.add(source)
pipeline.add(caps_v4l2src)
pipeline.add(decoder)
pipeline.add(nvvidconv)
pipeline.add(caps_vidconvsrc)
pipeline.add(streammux)
pipeline.add(pgie)
pipeline.add(tracker)
pipeline.add(nvosd)
pipeline.add(sink)
#if is_aarch64():
#pipeline.add(transform)
# we link the elements together
# file-source -> h264-parser -> nvh264-decoder ->
# nvinfer -> nvvidconv -> nvosd -> video-renderer
print("Linking elements in the Pipeline \n")
self.link_element(source, caps_v4l2src)
self.link_element(caps_v4l2src, decoder)
self.link_element(decoder, nvvidconv)
self.link_element(nvvidconv, caps_vidconvsrc)
sinkpad = streammux.get_request_pad("sink_0")
if not sinkpad:
sys.stderr.write(" Unable to get the sink pad of streammux \n")
srcpad = caps_vidconvsrc.get_static_pad("src")
if not srcpad:
sys.stderr.write(" Unable to get source pad of decoder \n")
self.link_element(srcpad, sinkpad)
self.link_element(streammux, pgie)
self.link_element(pgie, tracker)
self.link_element(tracker, nvosd)
self.link_element(nvosd, sink)
# create and event loop and feed gstreamer bus mesages to it
loop = GObject.MainLoop()
bus = pipeline.get_bus()
bus.add_signal_watch()
bus.connect ("message", bus_call, loop)
# Lets add probe to get informed of the meta data generated, we add probe to
# the sink pad of the osd element, since by that time, the buffer would have
# had got all the metadata.
osdsinkpad = nvosd.get_static_pad("sink")
#osdsinkpad = caps_vidconvsrc.get_static_pad("sink")
if not osdsinkpad:
sys.stderr.write(" Unable to get sink pad of nvosd \n")
osdsinkpad.add_probe(Gst.PadProbeType.BUFFER, self.osd_sink_pad_buffer_probe, 0)
print("Starting pipeline \n")
# start play back and listed to events
pipeline.set_state(Gst.State.PLAYING)
try:
loop.run()
except:
pass
# cleanup
pipeline.set_state(Gst.State.NULL)
def osd_sink_pad_buffer_probe(self,pad,info,u_data,):
meta_data_list = []
frame_number=0
#Intiallizing object counter with 0.
obj_counter = {
self.PGIE_CLASS_ID_VEHICLE:0,
self.PGIE_CLASS_ID_PERSON:0,
self.PGIE_CLASS_ID_BICYCLE:0,
self.PGIE_CLASS_ID_ROADSIGN:0
}
num_rects=0
gst_buffer = info.get_buffer()
if not gst_buffer:
print("Unable to get GstBuffer ")
return
# Retrieve batch metadata from the gst_buffer
# Note that pyds.gst_buffer_get_nvds_batch_meta() expects the
# C address of gst_buffer as input, which is obtained with hash(gst_buffer)
batch_meta = pyds.gst_buffer_get_nvds_batch_meta(hash(gst_buffer))
l_frame = batch_meta.frame_meta_list
while l_frame is not None:
try:
# Note that l_frame.data needs a cast to pyds.NvDsFrameMeta
# The casting is done by pyds.NvDsFrameMeta.cast()
# The casting also keeps ownership of the underlying memory
# in the C code, so the Python garbage collector will leave
# it alone.
frame_meta = pyds.NvDsFrameMeta.cast(l_frame.data)
except StopIteration:
break
frame_number=frame_meta.frame_num
num_rects = frame_meta.num_obj_meta
l_obj=frame_meta.obj_meta_list
obj_meta = None
while l_obj is not None:
try:
# Casting l_obj.data to pyds.NvDsObjectMeta
obj_meta=pyds.NvDsObjectMeta.cast(l_obj.data)
if obj_meta is not None:
meta_data_list.append(obj_meta)
except StopIteration:
break
obj_counter[obj_meta.class_id] += 1
try:
l_obj=l_obj.next
except StopIteration:
break
try:
l_frame=l_frame.next
except StopIteration:
break
# Getting Image data using nvbufsurface
# the input should be address of buffer and batch_id
n_frame = pyds.get_nvds_buf_surface(hash(gst_buffer), frame_meta.batch_id)
return Gst.PadProbeReturn.OK
VideoProcessDeep copy.py (11.3 KB)
I was wondering if there is a way to clear the buffer to prevent this issue from happening or perhaps a workaround for the issue?
Thanks