DeepStream Python Apps

Github项目地址

此存储库包含DeepStream SDK的Python绑定和示例应用程序。

绑定和应用当前位于Alpha v0.5中。 预计在将来的版本中会更改API。
支持的SDK版本:4.0.1

USB相机Demo

GStreamer插件结构图

source
caps_v4l2src

代码

#!/usr/bin/env python3

################################################################################
# Copyright (c) 2020, 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.
################################################################################

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.bus_call import bus_call

import pyds

PGIE_CLASS_ID_VEHICLE = 0
PGIE_CLASS_ID_BICYCLE = 1
PGIE_CLASS_ID_PERSON = 2
PGIE_CLASS_ID_ROADSIGN = 3


def osd_sink_pad_buffer_probe(pad,info,u_data):
    frame_number=0
    # Intiallizing object counter with 0.
    # 用0初始化对象计数器
    obj_counter = {
        PGIE_CLASS_ID_VEHICLE:0,
        PGIE_CLASS_ID_PERSON:0,
        PGIE_CLASS_ID_BICYCLE:0,
        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
    '''
    从gst_buffer检索批处理元数据
    '''
    # Note that pyds.gst_buffer_get_nvds_batch_meta() expects the
    '''
    请注意,pyds.gst_buffer_get_nvds_batch_meta()期望
    '''
    # C address of gst_buffer as input, which is obtained with hash(gst_buffer)
    '''
    gst_buffer的C地址作为输入,该地址通过哈希(gst_buffer)获得
    '''
    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\
            '''
            请注意,l_frame.data需要强制转换为pyds.NvDsFrameMeta
            '''
            # The casting is done by pyds.NvDsFrameMeta.cast()
            '''
            投射由pyds.NvDsFrameMeta.cast()完成
            '''
            # The casting also keeps ownership of the underlying memory
            # in the C code, so the Python garbage collector will leave
            # it alone.
            '''
            casting还将底层内存的所有权保留在C代码中,
            因此Python垃圾收集器将不处理它。
            '''
           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
        while l_obj is not None:
            try:
                # Casting l_obj.data to pyds.NvDsObjectMeta
                '''
                将l_obj.data转换为pyds.NvDsObjectMeta
                '''
                obj_meta=pyds.NvDsObjectMeta.cast(l_obj.data)
            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.
        '''
        获取显示元对象。内存所有权保留在C代码中,因此下游插件仍然可以访问它。
        否则,垃圾收集器将在此探测函数退出时声明它。
        '''
        display_meta=pyds.nvds_acquire_display_meta_from_pool(batch_meta)
        display_meta.num_labels = 1
        py_nvosd_text_params = display_meta.text_params[0]
        # Setting display text to be shown on screen
        '''
        设置要在屏幕上显示的显示文本
        '''
        # Note that the pyds module allocates a buffer for the string, and the
        # memory will not be claimed by the garbage collector.
        '''
        请注意,pyds模块为该字符串分配了一个缓冲区,垃圾回收器不会声明该内存。
        '''
        # Reading the display_text field here will return the C address of the
        # allocated string. Use pyds.get_string() to get the string content.
        '''
        在此处读取display_text字段将返回分配的字符串的C地址.
        使用pyds.get_string()获取字符串内容。
        '''
        py_nvosd_text_params.display_text = "Frame Number={} Number of Objects={} Vehicle_count={} Person_count={}".format(frame_number, num_rects, obj_counter[PGIE_CLASS_ID_VEHICLE], obj_counter[PGIE_CLASS_ID_PERSON])

        # Now set the offsets where the string should appear
        '''
        现在设置字符串应该出现的偏移量
        '''
        py_nvosd_text_params.x_offset = 10
        py_nvosd_text_params.y_offset = 12

        # Font , font-color and font-size
        '''
        字体、字体颜色和字体大小
        '''
        py_nvosd_text_params.font_params.font_name = "Serif"
        py_nvosd_text_params.font_params.font_size = 10
        # set(red, green, blue, alpha); set to White
        '''
        设置(红色、绿色、蓝色、alpha);设置为白色
        '''
        py_nvosd_text_params.font_params.font_color.set(1.0, 1.0, 1.0, 1.0)

        # Text background color
        '''
        文字背景颜色
        '''
        py_nvosd_text_params.set_bg_clr = 1
        # set(red, green, blue, alpha); set to Black
        '''
        设置(红色、绿色、蓝色、alpha);设置为黑色
        '''
        py_nvosd_text_params.text_bg_clr.set(0.0, 0.0, 0.0, 1.0)
        # Using pyds.get_string() to get display_text as string
        '''
        使用pyds.get_字符串()获取显示为字符串的文本
        '''
        print(pyds.get_string(py_nvosd_text_params.display_text))
        pyds.nvds_add_display_meta_to_frame(frame_meta, display_meta)
        try:
            l_frame=l_frame.next
        except StopIteration:
            break
			
    return Gst.PadProbeReturn.OK	


def main(args):
    # Check input arguments
    '''
    检查输入参数
    '''
    if len(args) != 2:
        sys.stderr.write("usage: %s <v4l2-device-path>\n" % args[0])
        sys.exit(1)

    # Standard GStreamer initialization
    '''
    标准GStreamer初始化
    '''
    GObject.threads_init()
    Gst.init(None)

    # Create gstreamer elements
    '''
    创建gstreamer元素
    '''
    # Create Pipeline element that will form a connection of other elements
    '''
    创建将形成其他元素连接的Pipeline元素
    '''
    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
    '''
    从文件读取的源元素
    '''
    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
    '''
    视频转换以确保支持原始格式的超集
    '''
    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)
    '''
    nvvideoconvert将传入的原始缓冲区转换为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.
    '''
    创建nvstreamux实例以从一个或多个源形成批处理。
    '''
    streammux = Gst.ElementFactory.make("nvstreammux", "Stream-muxer")
    if not streammux:
        sys.stderr.write(" Unable to create NvStreamMux \n")

    # Use nvinfer to run inferencing on camera's output,
    '''
    使用nvinfer在相机的输出上运行推断
    '''
    # behaviour of inferencing is set through config file
    '''
    通过配置文件设置推断行为
    '''
    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
    '''
    根据nvosd的要求,使用转换器将NV12转换为RGBA
    '''
    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
    '''
    创建OSD以在已转换的RGBA缓冲区上绘制
    '''
    nvosd = Gst.ElementFactory.make("nvdsosd", "onscreendisplay")

    if not nvosd:
        sys.stderr.write(" Unable to create nvosd \n")

    # Finally render the osd output
    '''
    最后呈现osd输出
    '''
    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 " %args[1])
    caps_v4l2src.set_property('caps', Gst.Caps.from_string("video/x-raw, framerate=30/1"))
    caps_vidconvsrc.set_property('caps', Gst.Caps.from_string("video/x-raw(memory:NVMM)"))
    source.set_property('device', args[1])
    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('config-file-path', "dstest1_pgie_config.txt")
    # Set sync = false to avoid late frame drops at the display-sink
    '''
    设置sync=false以避免在显示接收器处延迟帧丢失
    '''
    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
    '''
    我们把元素联系在一起
    '''
    # 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
    '''
    创建事件循环并将gstreamer总线消息馈送给它
    '''
    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.
    '''
    让我们添加探针以通知生成的元数据,然后将探针添加到osd元素的接收盘,
    因为到那时,缓冲区将已经获得了所有元数据。
    '''
    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
    '''
    开始回放并收听事件
    '''
    print("Starting pipeline \n")
    pipeline.set_state(Gst.State.PLAYING)
    try:
        loop.run()
    except:
        pass
    # cleanup
    '''
    清理
    '''
    pipeline.set_state(Gst.State.NULL)

if __name__ == '__main__':
    sys.exit(main(sys.argv))

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转载自blog.csdn.net/LK007CX/article/details/105674758