I am trying to modify the deepstream_sdk_v4.0.2_jetson/sources/python/apps/deepstream-test3/deepstream_test_3.py to adopt with multiple USB cameras. I tried to combine what I understood from https://devtalk.nvidia.com/default/topic/1066912/deepstream-sdk/deepstream-now-supports-python-/post/5408100/#5408100 (which is related to test_1) and https://devtalk.nvidia.com/default/topic/1061855/deepstream-sdk/how-to-run-deepstream-test3-with-usb-camera/post/5377948/#5377948 (which seems to be a working C version of test_3 for multiple USB cameras). But, clearly I am missing something and my code is not working!
Here is my code:
################################################################################
# Copyright (c) 2019, NVIDIA CORPORATION. All rights reserved.
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# The above copyright notice and this permission notice shall be included in
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# IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
# FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL
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# FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER
# DEALINGS IN THE SOFTWARE.
################################################################################
import sys
sys.path.append('../')
import gi
import configparser
gi.require_version('Gst', '1.0')
from gi.repository import GObject, Gst
from gi.repository import GLib
from ctypes import *
import time
import sys
import math
import platform
from common.is_aarch_64 import is_aarch64
from common.bus_call import bus_call
from common.FPS import GETFPS
import pyds
fps_streams={}
MAX_DISPLAY_LEN=64
PGIE_CLASS_ID_VEHICLE = 0
PGIE_CLASS_ID_BICYCLE = 1
PGIE_CLASS_ID_PERSON = 2
PGIE_CLASS_ID_ROADSIGN = 3
MUXER_OUTPUT_WIDTH=1920
MUXER_OUTPUT_HEIGHT=80
MUXER_BATCH_TIMEOUT_USEC=4000000
TILED_OUTPUT_WIDTH=1920
TILED_OUTPUT_HEIGHT=1080
GST_CAPS_FEATURES_NVMM="memory:NVMM"
pgie_classes_str= ["Vehicle", "TwoWheeler", "Person","RoadSign"]
# tiler_sink_pad_buffer_probe will extract metadata received on OSD sink pad
# and update params for drawing rectangle, object information etc.
def tiler_src_pad_buffer_probe(pad,info,u_data):
frame_number=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.glist_get_nvds_frame_meta()
# 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.glist_get_nvds_frame_meta(l_frame.data)
except StopIteration:
break
# print("Frame Number is ", frame_meta.frame_num)
# print("Source id is ", frame_meta.source_id)
# print("Batch id is ", frame_meta.batch_id)
# print("Source Frame Width ", frame_meta.source_frame_width)
# print("Source Frame Height ", frame_meta.source_frame_height)
# print("Num object meta ", frame_meta.num_obj_meta)
frame_number=frame_meta.frame_num
l_obj=frame_meta.obj_meta_list
num_rects = frame_meta.num_obj_meta
obj_counter = {
PGIE_CLASS_ID_VEHICLE:0,
PGIE_CLASS_ID_PERSON:0,
PGIE_CLASS_ID_BICYCLE:0,
PGIE_CLASS_ID_ROADSIGN:0
}
while l_obj is not None:
try:
# Casting l_obj.data to pyds.NvDsObjectMeta
obj_meta=pyds.glist_get_nvds_object_meta(l_obj.data)
except StopIteration:
break
print(obj_meta.object_id)
obj_counter[obj_meta.class_id] += 1
try:
l_obj=l_obj.next
except StopIteration:
break
# Get frame rate through this probe
fps_streams["stream{0}".format(frame_meta.pad_index)].get_fps()
try:
l_frame=l_frame.next
except StopIteration:
break
return Gst.PadProbeReturn.OK
# def cb_newpad(decodebin, decoder_src_pad,data):
# print("In cb_newpad\n")
# caps=decoder_src_pad.get_current_caps()
# gststruct=caps.get_structure(0)
# gstname=gststruct.get_name()
# source_bin=data
# features=caps.get_features(0)
# # Need to check if the pad created by the decodebin is for video and not
# # audio.
# print("gstname=",gstname)
# if(gstname.find("video")!=-1):
# # Link the decodebin pad only if decodebin has picked nvidia
# # decoder plugin nvdec_*. We do this by checking if the pad caps contain
# # NVMM memory features.
# print("features=",features)
# if features.contains("memory:NVMM"):
# # Get the source bin ghost pad
# bin_ghost_pad=source_bin.get_static_pad("src")
# if not bin_ghost_pad.set_target(decoder_src_pad):
# sys.stderr.write("Failed to link decoder src pad to source bin ghost pad\n")
# else:
# sys.stderr.write(" Error: Decodebin did not pick nvidia decoder plugin.\n")
# def decodebin_child_added(child_proxy,Object,name,user_data):
# print("Decodebin child added:", name, "\n")
# if(name.find("decodebin") != -1):
# Object.connect("child-added",decodebin_child_added,user_data)
# if(is_aarch64() and name.find("nvv4l2decoder") != -1):
# print("Seting bufapi_version\n")
# Object.set_property("bufapi-version",True)
def create_source_bin(index,uri):
print("Creating source bin")
# Create a source GstBin to abstract this bin's content from the rest of the
# pipeline
bin_name="source-bin-%02d" %index
print(bin_name)
nbin=Gst.Bin.new(bin_name)
if not nbin:
sys.stderr.write(" Unable to create source bin \n")
# Source element for reading from the uri.
# We will use decodebin and let it figure out the container format of the
# stream and the codec and plug the appropriate demux and decode plugins.
# uri_decode_bin=Gst.ElementFactory.make("uridecodebin", "uri-decode-bin")
# if not uri_decode_bin:
# sys.stderr.write(" Unable to create uri decode bin \n")
# # We set the input uri to the source element
# uri_decode_bin.set_property("uri",uri)
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("Could not create caps_v4l2src")
# videoconvert to make sure a superset of raw formats are supported
vidconvsrc = Gst.ElementFactory.make("videoconvert", "convertor_src1")
if not vidconvsrc:
sys.stderr.write(" Unable to create videoconvert \n")
# nvvideoconvert to convert incoming raw buffers to NVMM Mem (NvBufSurface API)
nvvidconvsrc = Gst.ElementFactory.make("nvvideoconvert", "convertor_src2")
if not nvvidconvsrc:
sys.stderr.write(" Unable to create Nvvideoconvert \n")
caps_vidconvsrc = Gst.ElementFactory.make("capsfilter", "nvmm_caps")
if not caps_vidconvsrc:
sys.stderr.write(" Unable to create capsfilter \n")
caps_v4l2src.set_property('caps', Gst.Caps.from_string("video/x-raw, framerate=15/1"))
caps_vidconvsrc.set_property('caps', Gst.Caps.from_string("video/x-raw(memory:NVMM)"))
source.set_property('device', uri)
nbin.add(source)
nbin.add(caps_v4l2src)
nbin.add(vidconvsrc)
nbin.add(nvvidconvsrc)
nbin.add(caps_vidconvsrc)
source.link(caps_v4l2src)
caps_v4l2src.link(vidconvsrc)
vidconvsrc.link(nvvidconvsrc)
nvvidconvsrc.link(caps_vidconvsrc)
# Connect to the "pad-added" signal of the decodebin which generates a
# callback once a new pad for raw data has beed created by the decodebin
# uri_decode_bin.connect("pad-added",cb_newpad,nbin)
# uri_decode_bin.connect("child-added",decodebin_child_added,nbin)
# We need to create a ghost pad for the source bin which will act as a proxy
# for the video decoder src pad. The ghost pad will not have a target right
# now. Once the decode bin creates the video decoder and generates the
# cb_newpad callback, we will set the ghost pad target to the video decoder
# src pad.
# Gst.Bin.add(nbin,uri_decode_bin)
srcpad = caps_vidconvsrc.get_static_pad("src")
bin_pad=nbin.add_pad(Gst.GhostPad.new_no_target("src",srcpad))
if not bin_pad:
sys.stderr.write(" Failed to add ghost pad in source bin \n")
return None
return nbin
def main(args):
# Check input arguments
if len(args) < 2:
sys.stderr.write("usage: %s <uri1> [uri2] ... [uriN]\n" % args[0])
sys.exit(1)
for i in range(0,len(args)-1):
fps_streams["stream{0}".format(i)]=GETFPS(i)
number_sources=len(args)-1
# 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")
print("Creating streamux \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")
pipeline.add(streammux)
for i in range(number_sources):
print("Creating source_bin ",i," \n ")
uri_name=args[i+1]
source_bin=create_source_bin(i, uri_name)
if not source_bin:
sys.stderr.write("Unable to create source bin \n")
pipeline.add(source_bin)
padname="sink_%u" %i
sinkpad= streammux.get_request_pad(padname)
if not sinkpad:
sys.stderr.write("Unable to create sink pad bin \n")
srcpad=source_bin.get_static_pad("src")
if not srcpad:
sys.stderr.write("Unable to create src pad bin \n")
srcpad.link(sinkpad)
print("Creating Pgie \n ")
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")
print("Creating tiler \n ")
tiler=Gst.ElementFactory.make("nvmultistreamtiler", "nvtiler")
if not tiler:
sys.stderr.write(" Unable to create tiler \n")
print("Creating nvvidconv \n ")
nvvidconv = Gst.ElementFactory.make("nvvideoconvert", "convertor")
if not nvvidconv:
sys.stderr.write(" Unable to create nvvidconv \n")
print("Creating nvosd \n ")
nvosd = Gst.ElementFactory.make("nvdsosd", "onscreendisplay")
if not nvosd:
sys.stderr.write(" Unable to create nvosd \n")
if(is_aarch64()):
print("Creating transform \n ")
transform=Gst.ElementFactory.make("nvegltransform", "nvegl-transform")
if not transform:
sys.stderr.write(" Unable to create transform \n")
print("Creating EGLSink \n")
sink = Gst.ElementFactory.make("nveglglessink", "nvvideo-renderer")
if not sink:
sys.stderr.write(" Unable to create egl sink \n")
streammux.set_property('width', 1920)
streammux.set_property('height', 1080)
streammux.set_property('batch-size', number_sources)
streammux.set_property('batched-push-timeout', 4000000)
pgie.set_property('config-file-path', "dstest3_pgie_config.txt")
pgie_batch_size=pgie.get_property("batch-size")
if(pgie_batch_size != number_sources):
print("WARNING: Overriding infer-config batch-size",pgie_batch_size," with number of sources ", number_sources," \n")
pgie.set_property("batch-size",number_sources)
tiler_rows=int(math.sqrt(number_sources))
tiler_columns=int(math.ceil((1.0*number_sources)/tiler_rows))
tiler.set_property("rows",tiler_rows)
tiler.set_property("columns",tiler_columns)
tiler.set_property("width", TILED_OUTPUT_WIDTH)
tiler.set_property("height", TILED_OUTPUT_HEIGHT)
#Set properties of tracker
config = configparser.ConfigParser()
config.read('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)
print("Adding elements to Pipeline \n")
pipeline.add(pgie)
pipeline.add(tracker)
pipeline.add(tiler)
pipeline.add(nvvidconv)
pipeline.add(nvosd)
if is_aarch64():
pipeline.add(transform)
pipeline.add(sink)
print("Linking elements in the Pipeline \n")
streammux.link(pgie)
pgie.link(tracker)
tracker.link(tiler)
tiler.link(nvvidconv)
nvvidconv.link(nvosd)
if is_aarch64():
nvosd.link(transform)
transform.link(sink)
else:
nvosd.link(sink)
# create an 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)
tiler_src_pad=tracker.get_static_pad("src")
if not tiler_src_pad:
sys.stderr.write(" Unable to get src pad \n")
else:
tiler_src_pad.add_probe(Gst.PadProbeType.BUFFER, tiler_src_pad_buffer_probe, 0)
# List the sources
print("Now playing...")
for i, source in enumerate(args):
if (i != 0):
print(i, ": ", source)
print("Starting pipeline \n")
# start play back and listed to events
pipeline.set_state(Gst.State.PLAYING)
#try:
loop.run()
#except:
# pass
# cleanup
print("Exiting app\n")
pipeline.set_state(Gst.State.NULL)
if __name__ == '__main__':
sys.exit(main(sys.argv))
And when I run
python3 deepstream_test_3.py /dev/video1
I get:
Creating Pipeline
Creating streamux
Creating source_bin 0
Creating source bin
source-bin-00
Creating Source
Traceback (most recent call last):
File "deepstream_test_3.py", line 425, in <module>
sys.exit(main(sys.argv))
File "deepstream_test_3.py", line 277, in main
source_bin=create_source_bin(i, uri_name)
File "deepstream_test_3.py", line 236, in create_source_bin
bin_pad=nbin.add_pad(Gst.GhostPad.new_no_target("src",srcpad))
TypeError: Expected a Gst.PadDirection, but got Pad
Obviously there is a problem in line 236, but my problem is more than that. Is my overall approach correct? What am I missing here? I am really confused.
Any help is appreciated.
information regarding the webcam:
nvidia@saeed:~/deepstream_sdk_v4.0.2_jetson/sources/python/apps/deepstream-test3$ v4l2-ctl --all -d /dev/video1
Driver Info (not using libv4l2):
Driver name : uvcvideo
Card type : UVC Camera (046d:0809)
Bus info : usb-3530000.xhci-2.4
Driver version: 4.9.140
Capabilities : 0x84200001
Video Capture
Streaming
Extended Pix Format
Device Capabilities
Device Caps : 0x04200001
Video Capture
Streaming
Extended Pix Format
Priority: 2
Video input : 0 (Camera 1: ok)
Format Video Capture:
Width/Height : 960/720
Pixel Format : 'YUYV'
Field : None
Bytes per Line : 1920
Size Image : 1382400
Colorspace : sRGB
Transfer Function : Default (maps to sRGB)
YCbCr/HSV Encoding: Default (maps to ITU-R 601)
Quantization : Default (maps to Limited Range)
Flags :
Crop Capability Video Capture:
Bounds : Left 0, Top 0, Width 960, Height 720
Default : Left 0, Top 0, Width 960, Height 720
Pixel Aspect: 1/1
Selection: crop_default, Left 0, Top 0, Width 960, Height 720
Selection: crop_bounds, Left 0, Top 0, Width 960, Height 720
Streaming Parameters Video Capture:
Capabilities : timeperframe
Frames per second: 15.000 (15/1)
Read buffers : 0
brightness 0x00980900 (int) : min=0 max=255 step=1 default=128 value=128
contrast 0x00980901 (int) : min=0 max=255 step=1 default=32 value=32
saturation 0x00980902 (int) : min=0 max=255 step=1 default=28 value=28
white_balance_temperature_auto 0x0098090c (bool) : default=1 value=1
gain 0x00980913 (int) : min=0 max=255 step=1 default=0 value=0
power_line_frequency 0x00980918 (menu) : min=0 max=2 default=2 value=2
white_balance_temperature 0x0098091a (int) : min=0 max=10000 step=10 default=4000 value=0 flags=inactive
sharpness 0x0098091b (int) : min=0 max=255 step=1 default=191 value=191
backlight_compensation 0x0098091c (int) : min=0 max=1 step=1 default=1 value=1
exposure_auto 0x009a0901 (menu) : min=0 max=3 default=3 value=3
exposure_absolute 0x009a0902 (int) : min=1 max=10000 step=1 default=166 value=155 flags=inactive
exposure_auto_priority 0x009a0903 (bool) : default=0 value=1
pan_absolute 0x009a0908 (int) : min=-36000 max=36000 step=3600 default=0 value=0
tilt_absolute 0x009a0909 (int) : min=-36000 max=36000 step=3600 default=0 value=0