“memory type configured and i/p buffer mismatch ip_surf 0 muxer 3” is displayed.
I’m using DeepStream SDK 5.0 Python Bindings on ubuntu18.04 and RTX2060.
I’m getting an error in the title.
What should I do?
[property]
gpu-id=0
net-scale-factor=0.0039215697906911373
#0=RGB, 1=BGR
model-color-format=0
custom-network-config=deepstream/yolov3-tiny.cfg
int8-calib-file=yolov3-calibration.table.trt7.0
#model-file=deepstream/yolov3-tiny_obj_mask_best.weights
model-engine-file=model_b1_gpu0_fp32.engine
labelfile-path=deepstream/classes.txt
## 0=FP32, 1=INT8, 2=FP16 mode
network-mode=0
network-type=0
## 0=Group Rectangles, 1=DBSCAN, 2=NMS, 3= DBSCAN+NMS Hybrid, 4 = None(No clustering)
cluster-mode=2
num-detected-classes=2
gie-unique-id=1
is-classifier=0
maintain-aspect-ratio=1
engine-create-func-name=NvDsInferYoloCudaEngineGet
parse-bbox-func-name=NvDsInferParseCustomYoloV3Tiny
custom-lib-path=deepstream/libnvdsinfer_custom_impl_Yolo.so
[class-attrs-all]
nms-iou-threshold=0.3
threshold=0.3
################################################################################
# Copyright (c) 2019, NVIDIA CORPORATION. All rights reserved.
#
# Permission is hereby granted, free of charge, to any person obtaining a
# copy of this software and associated documentation files (the "Software"),
# to deal in the Software without restriction, including without limitation
# the rights to use, copy, modify, merge, publish, distribute, sublicense,
# and/or sell copies of the Software, and to permit persons to whom the
# Software is furnished to do so, subject to the following conditions:
#
# The above copyright notice and this permission notice shall be included in
# all copies or substantial portions of the Software.
#
# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
# IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
# FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL
# THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
# LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING
# FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER
# DEALINGS IN THE SOFTWARE.
################################################################################
#!/usr/bin/env python
import shutil
import os
import cv2
import traceback
import sys
sys.path.append('../')
import gi
gi.require_version('Gst', '1.0')
from gi.repository import GObject, Gst
from common.is_aarch_64 import is_aarch64
from common.utils import long_to_int
from common.bus_call import bus_call
import pyds
import numpy as np
# PGIE_CLASS_ID_VEHICLE = 0
# PGIE_CLASS_ID_BICYCLE = 1
# PGIE_CLASS_ID_PERSON = 2
# PGIE_CLASS_ID_ROADSIGN = 3
PGIE_CLASS_ID_NO_MASK = 0
PGIE_CLASS_ID_MASK = 1
g_count = 0
pgie_classes_str= ["NoMask", "Mask"]
def draw_bounding_boxes(image,obj_meta,confidence):
confidence='{0:.2f}'.format(confidence)
rect_params=obj_meta.rect_params
top=int(rect_params.top)
left=int(rect_params.left)
width=int(rect_params.width)
height=int(rect_params.height)
obj_name=pgie_classes_str[obj_meta.class_id]
image=cv2.rectangle(image,(left,top),(left+width,top+height),(0,0,255,0),2)
# Note that on some systems cv2.putText erroneously draws horizontal lines across the image
image=cv2.putText(image,obj_name+',C='+str(confidence),(left-10,top-10),cv2.FONT_HERSHEY_SIMPLEX,0.5,(0,0,255,0),2)
return image
def osd_sink_pad_buffer_probe(pad,info,u_data):
global g_count
# print(f"gcount:{g_count}")
frame_number=0
#Intiallizing object counter with 0.
obj_counter = {
PGIE_CLASS_ID_NO_MASK:0,
PGIE_CLASS_ID_MASK:0
}
num_rects=0
gst_buffer = info.get_buffer()
if not gst_buffer:
print("Unable import pydsto 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
# 画像表示
# frame_rgba = pyds.get_nvds_buf_surface(gst_buffer, g_count)
# cv2.imshow("Streamk",frame_rgba)
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
frame_number=frame_meta.frame_num
num_rects = frame_meta.num_obj_meta
l_obj=frame_meta.obj_meta_list
det = False
while l_obj is not None:
try:
det = True
# Casting l_obj.data to pyds.NvDsObjectMeta
obj_meta=pyds.glist_get_nvds_object_meta(l_obj.data)
print(f"ID:{obj_meta.object_id} class id:{obj_meta.class_id} conf:{obj_meta.confidence}")
msg_meta=pyds.alloc_nvds_event_msg_meta()
top = int(obj_meta.rect_params.top)
left = int( obj_meta.rect_params.left)
w = int(obj_meta.rect_params.width)
h = int(obj_meta.rect_params.height)
dbg = f"top:{top}, left:{left}, w:{w}, h:{h}, v:{w*h}"
if obj_meta.class_id == PGIE_CLASS_ID_NO_MASK:
mark = "検温中 :{}".format(dbg)
else:
mark = "マスクを外すと検温が開始されます。 :{}".format(dbg)
n_frame=pyds.get_nvds_buf_surface(hash(gst_buffer),frame_meta.batch_id)
frame_image=np.array(n_frame,copy=True,order='C')
#covert the array into cv2 default color format
frame_image=cv2.cvtColor(frame_image,cv2.COLOR_RGBA2BGRA)
frame_image=draw_bounding_boxes(frame_image,obj_meta,obj_meta.confidence)
# n_frame = Image.fromarray(frame_image)
# cv2.imshow("ttt", frame_image)
# cv2.waitKey(1)
except StopIteration:
break
obj_counter[obj_meta.class_id] += 1
try:
l_obj=l_obj.next
except StopIteration:
break
# Acquiring a display meta object. The memory ownership remains in
# the C code so downstream plugins can still access it. Otherwise
# the garbage collector will claim it when this probe function exits.
display_meta=pyds.nvds_acquire_display_meta_from_pool(batch_meta)
if det :
display_meta.num_labels = 2
top_title = display_meta.text_params[0]
person_msg = display_meta.text_params[1]
person_msg.display_text = mark
person_msg.x_offset=left
person_msg.y_offset=top
person_msg.font_params.font_name= "Serif"
person_msg.font_params.font_size= 18
person_msg.font_params.font_color.set(1.0, 1.0, 1.0, 1.0)
person_msg.set_bg_clr = 1
person_msg.font_params.font_color.set(1.0, 1.0, 1.0, 1.0)
person_msg.text_bg_clr.set(0.0, 0.0, 0.0, 1.0)
else :
display_meta.num_labels = 1
top_title = display_meta.text_params[0]
# print(f"display_meta.text_params size:{len(display_meta.text_params)}")
# Setting display text to be shown on screen
# Note that the pyds module allocates a buffer for the string, and the
# memory will not be claimed by the garbage collector.
# Reading the display_t
# ext field here will return the C address of the
# allo
# cated string. Use pyds.get_string() to get the string content.
#top_title.display_text = "Frahme Number={} Number of Objects={} NoMask_count={} Mask_count={}".format(frame_number, num_rects, obj_counter[PGIE_CLASS_ID_NO_MASK], obj_counter[PGIE_CLASS_ID_MASK])
top_title.display_text = "体温チェッカー（試作品）"
# Now set the offsets where the string should appear
top_title.x_offset = 10
top_title.y_offset = 12
# Font , font-color and font-size
top_title.font_params.font_name = "Serif"
top_title.font_params.font_size = 30
# set(red, green, blue, alpha); set to White
top_title.font_params.font_color.set(1.0, 1.0, 1.0, 1.0)
# Text background color
top_title.set_bg_clr = 1
# set(red, green, blue, alpha); set to Black
top_title.text_bg_clr.set(0.0, 0.0, 0.0, 1.0)
# Using pyds.get_string() to get display_text as string
# print(pyds.get_string(top_title.display_text))
pyds.nvds_add_display_meta_to_frame(frame_meta, display_meta)
try:
l_frame=l_frame.next
except StopIteration:
break
g_count += 1
return Gst.PadProbeReturn.OK
def main(args):
print(f"is_aarch:{is_aarch64()}")
# Check input arguments
if len(args) != 2:
device_cam = "/dev/video0"
print("Default camera Set! {}".format(device_cam))
# sys.stderr.write("usage: %s <v4l2-device-path>\n" % args[0])
# sys.exit(1)
else:
device_cam = 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")
# Source element for reading from the file
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)
# 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")
# Create nvstreammux instance to form batches from one or more sources.
streammux = Gst.ElementFactory.make("nvstreammux", "Stream-muxer")
# streammux = False
if not streammux:
sys.stderr.write(" Unable to create NvStreamMux \n")
# Use nvinfer to run inferencing on camera'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")
# Use convertor to convert from NV12 to RGBA as required by nvosd
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("nvdsosd", "onscreendisplay")
if not nvosd:
sys.stderr.write(" Unable to create nvosd \n")
# Finally render the osd output
if is_aarch64():
transform = Gst.ElementFactory.make("nvegltransform", "nvegl-transform")
print("Creating EGLSink \n")
sink = Gst.ElementFactory.make("nveglglessink", "nvvideo-renderer")
if not sink:
sys.stderr.write(" Unable to create egl sink \n")
print("Playing cam %s " %device_cam )
caps_v4l2src.set_property('caps', Gst.Caps.from_string("video/x-raw,width=1280,height=720,framerate=10/1"))
# caps_v4l2src.set_property('caps', Gst.Caps.from_string("video/x-raw,width=1920,height=1080,framerate=30/1"))
caps_vidconvsrc.set_property('caps', Gst.Caps.from_string("video/x-raw(memory:NVMM)"))
# caps_vidconvsrc.set_property('caps', Gst.Caps.from_string("video/x-raw(memory:YUYV)"))
source.set_property('device', device_cam )
streammux.set_property('width', 1280)
streammux.set_property('height',720)
# streammux.set_property('width', 1920)
# streammux.set_property('height',1080)
streammux.set_property('batch-size', 1)
streammux.set_property('batched-push-timeout', 4000000)
pgie.set_property('gpu-id', 0)
# pgie.set_property('config-file-path', "yolov3tiny.txt")
pgie.set_property('config-file-path', "mask_config.txt")
# pgie.set_property('interval', 1)
# pgie.set_property('model-engine-file', "deepstream/model_b1_fp16_mask.engine")
# Set sync = false to avoid late frame drops at the display-sink
# sink.set_property('sync', False)
print("Adding elements to Pipeline \n")
pipeline.add(source)
pipeline.add(caps_v4l2src)
pipeline.add(vidconvsrc)
pipeline.add(nvvidconvsrc)
pipeline.add(caps_vidconvsrc)
pipeline.add(streammux)
pipeline.add(pgie)
pipeline.add(nvvidconv)
pipeline.add(nvosd)
pipeline.add(sink)
if is_aarch64():
pipeline.add(transform)
# we link the elements together
# v4l2src -> nvvideoconvert -> mux ->
# nvinfer -> nvvideoconvert -> nvosd -> video-renderer
print("Linking elements in the Pipeline \n")
source.link(caps_v4l2src)
caps_v4l2src.link(vidconvsrc)
vidconvsrc.link(nvvidconvsrc)
nvvidconvsrc.link(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 caps_vidconvsrc \n")
srcpad.link(sinkpad)
streammux.link(pgie)
pgie.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)
# 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")
if not osdsinkpad:
sys.stderr.write(" Unable to get sink pad of nvosd \n")
osdsinkpad.add_probe(Gst.PadProbeType.BUFFER, osd_sink_pad_buffer_probe, 0)
# start play back and listen to events
print("Starting pipeline \n")
pipeline.set_state(Gst.State.PLAYING)
try:
loop.run()
except:
pass
print("EXEPT")
# cleanup
pipeline.set_state(Gst.State.NULL)
if __name__ == '__main__':
sys.exit(main(sys.argv))