コード例 #1
0
def handle_track_object_meta(obj_meta):
    
    if not next((obj for obj in tracked_objects if obj["object_id"] == obj_meta.object_id), None):

        tracked_objects.append({
            "object_id" : obj_meta.object_id,
            "class_id" : obj_meta.class_id,
            "object_label" : obj_meta.obj_label,
            "tracker_confidence" : obj_meta.tracker_confidence,
            "directions" : [],
            ""
        })

            # print('Object id: ' + str(obj_meta.object_id))
            # print('Class id: ' + str(obj_meta.class_id))
            # print('Tracker Confidence: ' + str(obj_meta.tracker_confidence))

    # obj_counter[obj_meta.class_id] += 1
    l_user_meta = obj_meta.obj_user_meta_list

    while l_user_meta:
        try:

            user_meta = pyds.NvDsUserMeta.cast(l_user_meta.data)

            if user_meta.base_meta.meta_type == pyds.nvds_get_user_meta_type("NVIDIA.DSANALYTICSOBJ.USER_META"):  

                user_meta_data = pyds.NvDsAnalyticsObjInfo.cast(user_meta.user_meta_data)

                if user_meta_data.dirStatus: print("Object {0} moving in direction: {1}".format(obj_meta.object_id, user_meta_data.dirStatus))                    
                if user_meta_data.lcStatus: print("Object {0} line crossing status: {1}".format(obj_meta.object_id, user_meta_data.lcStatus))
                if user_meta_data.roiStatus: print("Object {0} roi status: {1}".format(obj_meta.object_id, user_meta_data.roiStatus))

        except StopIteration:
            break

        try:
            l_user_meta = l_user_meta.next
        except StopIteration:
            break
コード例 #2
0
def nvanalytics_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:
        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
        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
        # }
        print("#" * 50)
        while l_obj:
            try:
                # Note that l_obj.data needs a cast to pyds.NvDsObjectMeta
                # The casting is done by pyds.NvDsObjectMeta.cast()
                obj_meta = pyds.NvDsObjectMeta.cast(l_obj.data)
            except StopIteration:
                break
            # obj_counter[obj_meta.class_id] += 1
            l_user_meta = obj_meta.obj_user_meta_list
            # Extract object level meta data from NvDsAnalyticsObjInfo
            while l_user_meta:
                try:
                    user_meta = pyds.NvDsUserMeta.cast(l_user_meta.data)
                    if user_meta.base_meta.meta_type == pyds.nvds_get_user_meta_type(
                            "NVIDIA.DSANALYTICSOBJ.USER_META"):
                        user_meta_data = pyds.NvDsAnalyticsObjInfo.cast(
                            user_meta.user_meta_data)
                        if user_meta_data.dirStatus:
                            print("Object {0} moving in direction: {1}".format(
                                obj_meta.object_id, user_meta_data.dirStatus))
                        if user_meta_data.lcStatus:
                            print(
                                "Object {0} line crossing status: {1}".format(
                                    obj_meta.object_id,
                                    user_meta_data.lcStatus))
                        if user_meta_data.ocStatus:
                            print("Object {0} overcrowding status: {1}".format(
                                obj_meta.object_id, user_meta_data.ocStatus))
                        if user_meta_data.roiStatus:
                            print("Object {0} roi status: {1}".format(
                                obj_meta.object_id, user_meta_data.roiStatus))
                except StopIteration:
                    break

                try:
                    l_user_meta = l_user_meta.next
                except StopIteration:
                    break
            try:
                l_obj = l_obj.next
            except StopIteration:
                break

        # Get meta data from NvDsAnalyticsFrameMeta
        l_user = frame_meta.frame_user_meta_list
        while l_user:
            try:
                user_meta = pyds.NvDsUserMeta.cast(l_user.data)
                if user_meta.base_meta.meta_type == pyds.nvds_get_user_meta_type(
                        "NVIDIA.DSANALYTICSFRAME.USER_META"):
                    user_meta_data = pyds.NvDsAnalyticsFrameMeta.cast(
                        user_meta.user_meta_data)
                    if user_meta_data.objInROIcnt:
                        print("Objs in ROI: {0}".format(
                            user_meta_data.objInROIcnt))
                    if user_meta_data.objLCCumCnt:
                        print("Linecrossing Cumulative: {0}".format(
                            user_meta_data.objLCCumCnt))
                    if user_meta_data.objLCCurrCnt:
                        print("Linecrossing Current Frame: {0}".format(
                            user_meta_data.objLCCurrCnt))
                    if user_meta_data.ocStatus:
                        print("Overcrowding status: {0}".format(
                            user_meta_data.ocStatus))
            except StopIteration:
                break
            try:
                l_user = l_user.next
            except StopIteration:
                break

        # print("Frame Number=", frame_number, "stream id=", frame_meta.pad_index, "Number of Objects=",num_rects,"Vehicle_count=",obj_counter[PGIE_CLASS_ID_VEHICLE],"Person_count=",obj_counter[PGIE_CLASS_ID_PERSON])
        # 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
        print("#" * 50)

    return Gst.PadProbeReturn.OK
def nvanalytics_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:
        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
        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
        }
        print("#"*50)
        while l_obj:
            try: 
                # Note that l_obj.data needs a cast to pyds.NvDsObjectMeta
                # The casting is done by pyds.NvDsObjectMeta.cast()
                obj_meta=pyds.NvDsObjectMeta.cast(l_obj.data)
            except StopIteration:
                break
            
            # Set initial colour of bounding box
            if obj_meta.object_id in obj_color_dict.keys():
                r,g,b,a = obj_color_dict[obj_meta.object_id]
                obj_meta.rect_params.border_color.set(r,g,b,a)
            else:
                obj_meta.rect_params.border_color.set(0,1,0,1)


            obj_counter[obj_meta.class_id] += 1
            l_user_meta = obj_meta.obj_user_meta_list
            # Extract object level meta data from NvDsAnalyticsObjInfo
            while l_user_meta:
                try:
                    user_meta = pyds.NvDsUserMeta.cast(l_user_meta.data)
                    if user_meta.base_meta.meta_type == pyds.nvds_get_user_meta_type("NVIDIA.DSANALYTICSOBJ.USER_META"):             
                        user_meta_data = pyds.NvDsAnalyticsObjInfo.cast(user_meta.user_meta_data)

                        # Change colour of bounding box based on
                        # which line is crossed              
                        if user_meta_data.lcStatus: 
                            print("Object {0} line crossing status: {1}".format(obj_meta.object_id, user_meta_data.lcStatus))
                            if user_meta_data.lcStatus[0]=='Boundary':
                                obj_color_dict[obj_meta.object_id] = [1,0,0,1]
                            if user_meta_data.lcStatus[0]=='Entry':
                                obj_color_dict[obj_meta.object_id] = [1,1,0,1]
                            if user_meta_data.lcStatus[0]=='Exit':
                                obj_color_dict[obj_meta.object_id] = [0,1,0,1]

                except StopIteration:
                    break

                try:
                    l_user_meta = l_user_meta.next
                except StopIteration:
                    break
            try: 
                l_obj=l_obj.next
            except StopIteration:
                break
    
        l_display = frame_meta.display_meta_list
        while l_display:
            try:
                display_meta=pyds.NvDsDisplayMeta.cast(l_display.data)
            except StopIteration:
                break

            # Set text color in each frame
            for i, text in enumerate(display_meta.text_params):
                text.font_params.font_color.set(1,1,1,1)

            # Set line crossing color
            for i, line in enumerate(display_meta.line_params):
                if i<4:
                    line.line_color.set(1,0,0,1)
                else:
                    line.line_color.set(1,1,0,1)

            try: 
                l_display=l_display.next
            except StopIteration:
                break

        # Get meta data from NvDsAnalyticsFrameMeta
        l_user = frame_meta.frame_user_meta_list
        while l_user:
            try:
                user_meta = pyds.NvDsUserMeta.cast(l_user.data)
                if user_meta.base_meta.meta_type == pyds.nvds_get_user_meta_type("NVIDIA.DSANALYTICSFRAME.USER_META"):
                    user_meta_data = pyds.NvDsAnalyticsFrameMeta.cast(user_meta.user_meta_data)                 
                    if user_meta_data.objLCCumCnt: print("Linecrossing Cumulative: {0}".format(user_meta_data.objLCCumCnt))
                    if user_meta_data.objLCCurrCnt: print("Linecrossing Current Frame: {0}".format(user_meta_data.objLCCurrCnt))
            except StopIteration:
                break
            try:
                l_user = l_user.next
            except StopIteration:
                break
        
        print("Frame Number=", frame_number, "stream id=", frame_meta.pad_index, "Number of Objects=",num_rects,"Vehicle_count=",obj_counter[PGIE_CLASS_ID_VEHICLE],"Person_count=",obj_counter[PGIE_CLASS_ID_PERSON])
        # 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
        print("#"*50)

    # Send metadata to flask app
    url = "http://localhost:5000/updateCount"
    headers = {'Content-type': 'application/json', 'Accept': 'text/plain'}
    data = {'boundary_count_curr': user_meta_data.objLCCurrCnt['Boundary'],
            'entry_count_curr': user_meta_data.objLCCurrCnt['Entry'],
            'exit_count_curr': user_meta_data.objLCCurrCnt['Exit']}
    r = requests.post(url, data=json.dumps(data), headers=headers)

    return Gst.PadProbeReturn.OK
コード例 #4
0
def nvanalytics_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 Gst.PadProbeReturn.OK

    batch_meta = pyds.gst_buffer_get_nvds_batch_meta(hash(gst_buffer))
    l_frame = batch_meta.frame_meta_list

    while l_frame:
        try:
            frame_meta = pyds.NvDsFrameMeta.cast(l_frame.data)
        except StopIteration:
            break

        l_obj = frame_meta.obj_meta_list

        while l_obj:

            try:
                obj_meta = pyds.NvDsObjectMeta.cast(l_obj.data)
            except StopIteration:
                break

            l_user_meta = obj_meta.obj_user_meta_list
            while l_user_meta:
                try:
                    user_meta = pyds.NvDsUserMeta.cast(l_user_meta.data)
                    if user_meta.base_meta.meta_type == pyds.nvds_get_user_meta_type(
                            "NVIDIA.DSANALYTICSOBJ.USER_META"):
                        user_meta_data = pyds.NvDsAnalyticsObjInfo.cast(
                            user_meta.user_meta_data)
                        # if user_meta_data.dirStatus: print("Object {0} moving in direction: {1}".format(obj_meta.object_id, user_meta_data.dirStatus))
                        # if user_meta_data.lcStatus: print("Object {0} line crossing status: {1}".format(obj_meta.object_id, user_meta_data.lcStatus))
                except StopIteration:
                    break

                try:
                    l_user_meta = l_user_meta.next
                except StopIteration:
                    break
            try:
                l_obj = l_obj.next
            except StopIteration:
                break

        l_user = frame_meta.frame_user_meta_list
        while l_user:
            try:
                user_meta = pyds.NvDsUserMeta.cast(l_user.data)
                if user_meta.base_meta.meta_type == pyds.nvds_get_user_meta_type(
                        "NVIDIA.DSANALYTICSFRAME.USER_META"):
                    user_meta_data = pyds.NvDsAnalyticsFrameMeta.cast(
                        user_meta.user_meta_data)
                    if user_meta_data.objLCCumCnt:
                        print("Linecrossing Cumulative: {0}".format(
                            user_meta_data.objLCCumCnt))
                    # if user_meta_data.objLCCurrCnt: print("Linecrossing Current Frame: {0}".format(user_meta_data.objLCCurrCnt))
            except StopIteration:
                break
            try:
                l_user = l_user.next
            except StopIteration:
                break

        try:
            l_frame = l_frame.next
        except StopIteration:
            break

    return Gst.PadProbeReturn.OK
コード例 #5
0
def tiler_src_pad_buffer_probe(pad, info, u_data):

    global number_sources

    frame_number = 0
    num_rects = 0
    gst_buffer = info.get_buffer()
    if not gst_buffer:
        print("Unable to get GstBuffer ")
        return

    lp_dict = {i: {} for i in range(number_sources)}
    # 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
        '''
        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

        while l_obj is not None:
            try:
                # Casting l_obj.data to pyds.NvDsObjectMeta
                obj_meta = pyds.NvDsObjectMeta.cast(l_obj.data)
            except StopIteration:
                break
            # print(obj_meta.confidence)

            l_user_meta = obj_meta.obj_user_meta_list
            while l_user_meta:
                try:
                    user_meta = pyds.NvDsUserMeta.cast(l_user_meta.data)
                    if user_meta.base_meta.meta_type == pyds.nvds_get_user_meta_type(
                            "NVIDIA.DSANALYTICSOBJ.USER_META"):
                        user_meta_data = pyds.NvDsAnalyticsObjInfo.cast(
                            user_meta.user_meta_data)
                        print("Object {0} line crossing status: {1}".format(
                            obj_meta.object_id, user_meta_data.lcStatus))
                        # print("Object {0} roi status: {1}".format(obj_meta.object_id, user_meta_data.roiStatus))
                        # if user_meta_data.dirStatus: print("Object {0} moving in direction: {1}".format(obj_meta.object_id, user_meta_data.dirStatus))
                        # if user_meta_data.lcStatus: print("Object {0} line crossing status: {1}".format(obj_meta.object_id, user_meta_data.lcStatus))
                        # if user_meta_data.ocStatus: print("Object {0} overcrowding status: {1}".format(obj_meta.object_id, user_meta_data.ocStatus))
                        # if user_meta_data.roiStatus: print("Object {0} roi status: {1}".format(obj_meta.object_id, user_meta_data.roiStatus))

                        l_class = obj_meta.classifier_meta_list
                        # print(l_class)

                        if user_meta_data.lcStatus:
                            while l_class is not None:
                                try:
                                    class_meta = pyds.NvDsClassifierMeta.cast(
                                        l_class.data)
                                except StopIteration:
                                    break

                                l_label = class_meta.label_info_list
                                # print(class_meta.num_labels)
                                while l_label is not None:
                                    try:
                                        label_info = pyds.NvDsLabelInfo.cast(
                                            l_label.data)
                                    except StopIteration:
                                        break

                                    print(label_info.result_label)
                                    # print(long_to_int(obj_meta.object_id))
                                    x = obj_meta.rect_params.left
                                    y = obj_meta.rect_params.top
                                    w = obj_meta.rect_params.width
                                    h = obj_meta.rect_params.height
                                    lp_dict[frame_meta.pad_index][long_to_int(
                                        obj_meta.object_id)] = [
                                            label_info.result_label,
                                            obj_meta.confidence,
                                            int(x),
                                            int(y),
                                            int(x + w),
                                            int(y + h)
                                        ]
                                    try:
                                        l_label = l_label.next
                                    except StopIteration:
                                        break
                                try:
                                    l_class = l_class.next
                                except StopIteration:
                                    break

                except StopIteration:
                    break

                try:
                    l_user_meta = l_user_meta.next
                except StopIteration:
                    break

            try:
                l_obj = l_obj.next
            except StopIteration:
                break

        #write image when object detected in "positive" folder
        for source_id, data in lp_dict.items():
            for tracking_id, bbox_info in data.items():
                if tracking_id not in list(id_list.queue):
                    if id_list.full():
                        id_list.get()
                    id_list.put(tracking_id)
                    try:
                        frame = get_frame(gst_buffer, frame_meta.batch_id)
                        name = "img_" + str(
                            tracking_id) + "_" + datetime.datetime.now(
                            ).strftime("%Y%m%d_%H%M%S") + ".jpg"
                        if bbox_info[1] > 0.3:
                            cv2.rectangle(frame, (bbox_info[2], bbox_info[3]),
                                          (bbox_info[4], bbox_info[5]),
                                          (255, 0, 255), 1)
                            cv2.rectangle(frame,
                                          (bbox_info[2], bbox_info[3] - 20),
                                          (bbox_info[4], bbox_info[3]),
                                          (255, 0, 255), -1)
                            cv2.putText(frame, bbox_info[0],
                                        (bbox_info[2], bbox_info[3] - 10),
                                        cv2.FONT_HERSHEY_SIMPLEX, 0.4,
                                        (255, 255, 255), 1, cv2.LINE_AA)
                            cv2.imwrite(
                                os.path.join(
                                    os.path.join(path1,
                                                 "stream_" + str(source_id)),
                                    name), frame)
                            print(bbox_info)
                    except cv2.error as e:
                        print(e)

        print(lp_dict)

        # Get meta data from NvDsAnalyticsFrameMeta
        l_user = frame_meta.frame_user_meta_list
        while l_user:
            try:
                user_meta = pyds.NvDsUserMeta.cast(l_user.data)
                if user_meta.base_meta.meta_type == pyds.nvds_get_user_meta_type(
                        "NVIDIA.DSANALYTICSFRAME.USER_META"):
                    user_meta_data = pyds.NvDsAnalyticsFrameMeta.cast(
                        user_meta.user_meta_data)
                    # if user_meta_data.objInROIcnt: print("Objs in ROI: {0}".format(user_meta_data.objInROIcnt))
                    if user_meta_data.objLCCumCnt:
                        print("Linecrossing Cumulative: {0}".format(
                            user_meta_data.objLCCumCnt))
                    # if user_meta_data.objLCCurrCnt: print("Linecrossing Current Frame: {0}".format(user_meta_data.objLCCurrCnt))
                    # if user_meta_data.ocStatus: print("Overcrowding status: {0}".format(user_meta_data.ocStatus))
            except StopIteration:
                break
            try:
                l_user = l_user.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