v3.25.0

hailo-ai · Jun 29, 2023 · 0c9492e · 0c9492e
1 parent 3c2b49d
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diff --git a/.config b/.config
@@ -1 +1 @@
-hailort_version=4.13
+hailort_version=4.14
diff --git a/README.rst b/README.rst
@@ -7,7 +7,7 @@ Hailo TAPPAS - Optimized Execution of Video-Processing Pipelines
    :width: 150
    :height: 20
 
-.. |hailort| image:: https://img.shields.io/badge/HailoRT-4.13.0-green
+.. |hailort| image:: https://img.shields.io/badge/HailoRT-4.14.0-green
    :target: https://github.com/hailo-ai/hailort
    :alt: HailoRT
    :height: 20
@@ -22,7 +22,7 @@ Hailo TAPPAS - Optimized Execution of Video-Processing Pipelines
   :width: 20
   :align: middle
 
-.. image:: ./resources/TAPPAS.png
+.. image:: ./resources/github_TAPPAS.jpg
   :height: 300
   :width: 600
   :align: center
@@ -51,7 +51,7 @@ Demonstrating Hailo's system integration scenario of specific use cases on prede
 * Simplifying integration with Hailo’s runtime SW stack
 * Providing a starting point for customers to fine-tune their applications
 
-.. image:: ./resources/HAILO_TAPPAS_SW_STACK.jpg
+.. image:: ./resources/HAILO_TAPPAS_SW_STACK.svg
 
 
 ----
@@ -420,18 +420,22 @@ Our VMS reference application demonstrates the use of 5 networks over multiple s
 Changelog
 ----------
 
+**v3.25.0 (July 2023)**
+
+* Improved Yolov5seg post-process performance
+* Updated Yolo networks to use the HailoRT native post-process (selected models)
+* Added "non-blocking mode" and "wait-time" properties to hailoroundrobin element
+
 **v3.24.0 (March 2023)**
 
 * Added support for `Rockchip RK3588 <apps/h8/gstreamer/rockchip/README.rst>`_ (validated on Firefly ITX-3588J platform)
 * `Video Management System <apps/h8/gstreamer/x86_hw_accelerated/video_management_system/README.rst>`_ now supports multi-device (Ubuntu 22.04 only)
 * `Video Management System <apps/h8/gstreamer/x86_hw_accelerated/video_management_system/README.rst>`_ (single device) now works on Ubuntu 20.04
-* Added a new model to `Instance Segmentation Pipeline <apps/h8/gstreamer/general/instance_segmentation/README.rst>`_ -- `yolov5seg`, which has improved
-  performance compared to `yolact`
+* Added a new model to `Instance Segmentation Pipeline <apps/h8/gstreamer/general/instance_segmentation/README.rst>`_:
+  * `yolov5seg` - which has improved performance compared to `yolact`
 * New applications for `i.MX8 <apps/h8/gstreamer/imx8/README.rst>`_:
-
   * Object Detection and Pose Estimation (cascaded)
   * Multi-Stream Detection
-
 * Added a TAPPAS Graphic User Interface to easily run selected general example applications (preview) on the TAPPAS Docker - to activate it, run `tappas-gui`
 * Added back `yolox_l_leaky` to the `Century general application <apps/h8/gstreamer/general/century/README.rst>`_
 * Reduced docker size

diff --git a/apps/h8/gstreamer/general/cascading_networks/object_detection_and_pose_estimation.sh b/apps/h8/gstreamer/general/cascading_networks/object_detection_and_pose_estimation.sh
@@ -17,13 +17,14 @@ function init_variables() {
     readonly DEFAULT_DETECTION_HEF_PATH="$RESOURCES_DIR/yolov5m_wo_spp_60p.hef"
     readonly DEFAULT_POST_ESTIMATION_HEF_PATH="$RESOURCES_DIR/mspn_regnetx_800mf.hef"
 
-    readonly DEFAULT_DETECTION_POSTPROCESS_SO="$POSTPROCESS_DIR/libyolo_post.so"
+    readonly DEFAULT_DETECTION_POSTPROCESS_SO="$POSTPROCESS_DIR/libyolo_hailortpp_post.so"
     readonly DEFAULT_LANDMARKS_POSTPROCESS_SO="$POSTPROCESS_DIR/libmspn_post.so"
 
     readonly DEFAULT_CROP_SO="$CROPING_ALGORITHMS_DIR/libmspn.so"
     readonly DEFAULT_JSON_CONFIG_PATH="$RESOURCES_DIR/configs/mspn.json"
 
     readonly DEFAULT_VDEVICE_KEY="1"
+    readonly DEFAULT_NETWORK_NAME="yolov5"
 
     video_sink_element=$([ "$XV_SUPPORTED" = "true" ] && echo "xvimagesink" || echo "ximagesink")
     video_sink="fpsdisplaysink video-sink=$video_sink_element text-overlay=false"
@@ -34,6 +35,7 @@ function init_variables() {
     input_source=$DEFAULT_DETECTION_VIDEO_SOURCE
     crop_so=$DEFAULT_CROP_SO
     json_config_path=$DEFAULT_JSON_CONFIG_PATH
+    network_name=$DEFAULT_NETWORK_NAME
 
     internal_offset=false
     print_gst_launch_only=false
@@ -51,7 +53,7 @@ function print_usage() {
     echo "  --show-fps                              Print fps"
     echo "  --max-camera-resolution WIDTHxHEIGHT    The maximun input resolution from camera as an input (default ${DEFAULT_MAX_CAMERA_WIDTH}x${DEFAULT_MAX_CAMERA_HEGIHT})"
     echo "  --print-gst-launch      Print the ready gst-launch command without running it"
-    echo "  --tcp-address              If specified, set the sink to a TCP client (expected format is 'host:port')"
+    echo "  --tcp-address              Used for TAPPAS GUI, switchs the sink to TCP client"
     exit 0
 }
 
@@ -84,8 +86,8 @@ function parse_args() {
             tcp_host=$(echo $2 | awk -F':' '{print $1}')
             tcp_port=$(echo $2 | awk -F':' '{print $2}')
             video_sink="queue name=queue_before_sink leaky=no max-size-buffers=30 max-size-bytes=0 max-size-time=0 ! \
-                        x264enc tune=zerolatency ! \
-                        queue max-size-bytes=0 max-size-time=0 ! matroskamux ! tcpclientsink host=$tcp_host port=$tcp_port" 
+                        videoscale ! video/x-raw,width=836,height=546,format=RGB ! \
+                        queue max-size-bytes=0 max-size-time=0 ! tcpclientsink host=$tcp_host port=$tcp_port" 
 
             shift
         else
@@ -140,7 +142,7 @@ OBJECT_DETECTION_PIPELINE="videoscale qos=false ! \
     hailonet hef-path=$detection_hef_path scheduling-algorithm=1 scheduler-threshold=5 \
     scheduler-timeout-ms=100 vdevice-key=$DEFAULT_VDEVICE_KEY ! \
     queue leaky=no max-size-buffers=3 max-size-bytes=0 max-size-time=0 ! \
-    hailofilter name=detection so-path=$detection_postprocess_so qos=false function-name=yolov5 ! \
+    hailofilter name=detection so-path=$detection_postprocess_so qos=false function-name=$network_name ! \
     queue leaky=no max-size-buffers=3 max-size-bytes=0 max-size-time=0"
 
 LANDMARKS_PIPELINE="videoscale qos=false ! \

diff --git a/...al/cascading_networks/readme_resources/object_detection_and_pose_estimation.gif b/...al/cascading_networks/readme_resources/object_detection_and_pose_estimation.gif
diff --git a/apps/h8/gstreamer/general/century/README.rst b/apps/h8/gstreamer/general/century/README.rst
@@ -30,6 +30,7 @@ Supported Networks
 ------------------
 
 * 'yolov5m_wo_spp_60p' - https://github.com/hailo-ai/hailo_model_zoo/blob/master/hailo_model_zoo/cfg/networks/yolov5m_wo_spp_60p.yaml
+* 'yolox_l_leaky' - https://github.com/hailo-ai/hailo_model_zoo/blob/master/hailo_model_zoo/cfg/networks/yolov5m_wo_spp_60p.yaml
 
 Run
 ---
@@ -70,4 +71,14 @@ that are trained on your own dataset:
   - TAPPAS changes to replace model:
 
     - Update HEF_PATH on the .sh file
-    - Update ``resources/configs/yolov5.json`` with your new post-processing parameters (NMS)
+    - Update ``resources/configs/yolov5.json`` with your new post-processing parameters (NMS)
+
+- ``yolox_l_leaky``
+
+  - `Retraining docker <https://github.com/hailo-ai/hailo_model_zoo/tree/master/training/yolovx>`_
+
+   - For best compatibility and performance with TAPPAS, use for compilation the corresponsing YAML file from above.
+  - TAPPAS changes to replace model:
+
+    - Update HEF_PATH on the .sh file
+    - Update ``resources/configs/yolox.json`` with your new post-processing parameters (NMS)
diff --git a/apps/h8/gstreamer/general/century/century.sh b/apps/h8/gstreamer/general/century/century.sh
@@ -9,12 +9,11 @@ function init_variables() {
     readonly POSTPROCESS_DIR="$TAPPAS_WORKSPACE/apps/h8/gstreamer/libs/post_processes/"
     readonly RESOURCES_DIR="$TAPPAS_WORKSPACE/apps/h8/gstreamer/general/century/resources"
 
-    readonly DEFAULT_POSTPROCESS_SO="$POSTPROCESS_DIR/libyolo_post.so"
+    readonly DEFAULT_POSTPROCESS_SO="$POSTPROCESS_DIR/libyolo_hailortpp_post.so"
     readonly DEFAULT_VIDEO_SOURCE="$RESOURCES_DIR/detection_5m.mp4"
     readonly DEFAULT_HEF_PATH="$RESOURCES_DIR/yolov5m_wo_spp_60p.hef"
     readonly DEVICE_COUNT=4
     readonly DEVICE_PREFIX="[-]"
-    readonly DEFAULT_JSON_CONFIG_PATH="$RESOURCES_DIR/configs/yolov5m.json"
     readonly DEFAULT_NETWORK_NAME="yolov5"
 
     network_name=$DEFAULT_NETWORK_NAME
@@ -24,7 +23,6 @@ function init_variables() {
     device_count=$DEVICE_COUNT
     input_source=$DEFAULT_VIDEO_SOURCE
     hef_path=$DEFAULT_HEF_PATH
-    json_config_path=$DEFAULT_JSON_CONFIG_PATH
 
     print_gst_launch_only=false
     additional_parameters=""
@@ -73,7 +71,6 @@ function parse_args() {
             if [ $2 == "yolox" ]; then
                 network_name="yolox"
                 hef_path="$RESOURCES_DIR/yolovx_l_leaky.hef"
-                json_config_path="$RESOURCES_DIR/configs/yolox.json"
             elif [ $2 != "yolov5m" ]; then
                 echo "Received invalid network: $2. See expected arguments below:"
                 print_usage
@@ -115,16 +112,16 @@ else
 fi
 
 PIPELINE="gst-launch-1.0 \
-    $source_element ! videoconvert ! \
-    videoscale ! video/x-raw, pixel-aspect-ratio=1/1 ! \
+    $source_element ! videoconvert qos=false ! \
+    videoscale qos=false ! video/x-raw, pixel-aspect-ratio=1/1 ! \
     queue leaky=no max-size-buffers=30 max-size-bytes=0 max-size-time=0 ! \
     hailonet hef-path=$hef_path device-count=$device_count scheduling-algorithm=0 is-active=true ! \
     queue leaky=no max-size-buffers=30 max-size-bytes=0 max-size-time=0 ! \
-    hailofilter function-name=$network_name so-path=$postprocess_so config-path=$json_config_path qos=false ! \
+    hailofilter function-name=$network_name so-path=$postprocess_so qos=false ! \
     queue leaky=no max-size-buffers=30 max-size-bytes=0 max-size-time=0 ! \
     hailooverlay qos=false ! \
     queue leaky=no max-size-buffers=30 max-size-bytes=0 max-size-time=0 ! \
-    videoconvert ! \
+    videoconvert qos=false n-threads=4 ! \
     fpsdisplaysink video-sink=$video_sink_element name=hailo_display sync=$sync_pipeline text-overlay=false ${additional_parameters}"
 
 echo "Running $network_name"

diff --git a/apps/h8/gstreamer/general/classification/classification.sh b/apps/h8/gstreamer/general/classification/classification.sh
@@ -9,14 +9,12 @@ function init_variables() {
     readonly RESOURCES_DIR="$TAPPAS_WORKSPACE/apps/h8/gstreamer/general/classification/resources"
     readonly POSTPROCESS_DIR="$TAPPAS_WORKSPACE/apps/h8/gstreamer/libs/post_processes/"
     readonly DEFAULT_POSTPROCESS_SO="$POSTPROCESS_DIR/libclassification.so"
-    readonly DEFAULT_DRAW_SO="$POSTPROCESS_DIR/libdetection_draw.so"
     readonly DEFAULT_VIDEO_SOURCE="$RESOURCES_DIR/classification_movie.mp4"
     readonly DEFAULT_HEF_PATH="$RESOURCES_DIR/resnet_v1_50.hef"
 
     hef_path=$DEFAULT_HEF_PATH
     input_source=$DEFAULT_VIDEO_SOURCE
     postprocess_so=$DEFAULT_POSTPROCESS_SO
-    draw_so=$DEFAULT_DRAW_SO
 
     print_gst_launch_only=false
     additional_parameters=""
@@ -32,7 +30,7 @@ function print_usage() {
     echo "  -i INPUT --input INPUT  Set the video source (only videos allowed) (default $input_source)"
     echo "  --show-fps              Print fps"
     echo "  --print-gst-launch      Print the ready gst-launch command without running it"
-    echo "  --tcp-address              If specified, set the sink to a TCP client (expected format is 'host:port')"
+    echo "  --tcp-address              Used for TAPPAS GUI, switchs the sink to TCP client"
     exit 0
 }
 
@@ -60,8 +58,8 @@ function parse_args() {
             tcp_host=$(echo $2 | awk -F':' '{print $1}')
             tcp_port=$(echo $2 | awk -F':' '{print $2}')
             video_sink="queue name=queue_before_sink leaky=no max-size-buffers=30 max-size-bytes=0 max-size-time=0 ! \
-                        x264enc tune=zerolatency ! \
-                        queue max-size-bytes=0 max-size-time=0 ! matroskamux ! tcpclientsink host=$tcp_host port=$tcp_port" 
+                        videoscale ! video/x-raw,width=836,height=546,format=RGB ! \
+                        queue max-size-bytes=0 max-size-time=0 ! tcpclientsink host=$tcp_host port=$tcp_port" 
 
             shift
         else

diff --git a/apps/h8/gstreamer/general/detection/detection.sh b/apps/h8/gstreamer/general/detection/detection.sh
@@ -10,12 +10,11 @@ function init_variables() {
     readonly POSTPROCESS_DIR="$TAPPAS_WORKSPACE/apps/h8/gstreamer/libs/post_processes/"
     readonly RESOURCES_DIR="$TAPPAS_WORKSPACE/apps/h8/gstreamer/general/detection/resources"
 
-    readonly DEFAULT_POSTPROCESS_SO="$POSTPROCESS_DIR/libyolo_post.so"
+    readonly DEFAULT_POSTPROCESS_SO="$POSTPROCESS_DIR/libyolo_hailortpp_post.so"
     readonly DEFAULT_NETWORK_NAME="yolov5"
     readonly DEFAULT_BATCH_SIZE="1"
     readonly DEFAULT_VIDEO_SOURCE="$RESOURCES_DIR/detection.mp4"
     readonly DEFAULT_HEF_PATH="$RESOURCES_DIR/yolov5m_wo_spp_60p.hef"
-    readonly DEFAULT_JSON_CONFIG_PATH="$RESOURCES_DIR/configs/yolov5.json"
 
 
     video_sink_element=$([ "$XV_SUPPORTED" = "true" ] && echo "xvimagesink" || echo "ximagesink")
@@ -25,16 +24,15 @@ function init_variables() {
     input_source=$DEFAULT_VIDEO_SOURCE
     batch_size=$DEFAULT_BATCH_SIZE
     hef_path=$DEFAULT_HEF_PATH
-    json_config_path=$DEFAULT_JSON_CONFIG_PATH
+    json_config_path="null"
 
     print_gst_launch_only=false
     additional_parameters=""
     stats_element=""
     debug_stats_export=""
     sync_pipeline=false
     device_id_prop=""
-    tcp_host=""
-    tcp_port=""
+    tappas_gui_mode=false
 }
 
 function print_help_if_needed() {
@@ -57,7 +55,7 @@ function print_usage() {
     echo "  --show-fps                 Print fps"
     echo "  --print-gst-launch         Print the ready gst-launch command without running it"
     echo "  --print-device-stats       Print the power and temperature measured"
-    echo "  --tcp-address              If specified, set the sink to a TCP client (expected format is 'host:port')"
+    echo "  --tcp-address              Used for TAPPAS GUI, switchs the sink to TCP client"
     exit 0
 }
 
@@ -66,10 +64,12 @@ function parse_args() {
         if [ $1 == "--network" ]; then
             if [ $2 == "yolov4" ]; then
                 network_name="yolov4"
+                postprocess_so="$POSTPROCESS_DIR/libyolo_post.so"
                 hef_path="$RESOURCES_DIR/yolov4_leaky.hef"
                 batch_size="4"
                 json_config_path="$RESOURCES_DIR/configs/yolov4.json"
             elif [ $2 == "yolov3" ]; then
+                postprocess_so="$POSTPROCESS_DIR/libyolo_post.so"
                 network_name="yolov3"
                 hef_path="$RESOURCES_DIR/yolov3.hef"
                 batch_size="4"
@@ -108,9 +108,8 @@ function parse_args() {
             tcp_host=$(echo $2 | awk -F':' '{print $1}')
             tcp_port=$(echo $2 | awk -F':' '{print $2}')
             video_sink="queue name=queue_before_sink leaky=no max-size-buffers=30 max-size-bytes=0 max-size-time=0 ! \
-                        x264enc tune=zerolatency ! \
-                        queue max-size-bytes=0 max-size-time=0 ! matroskamux ! tcpclientsink host=$tcp_host port=$tcp_port" 
-
+                        videoscale ! video/x-raw,width=836,height=546,format=RGB ! \
+                        tcpclientsink host=$tcp_host port=$tcp_port"
             shift
         else
             echo "Received invalid argument: $1. See expected arguments below:"

diff --git a/apps/h8/gstreamer/general/detection/detection_every_x_frames.sh b/apps/h8/gstreamer/general/detection/detection_every_x_frames.sh
@@ -11,12 +11,11 @@ function init_variables() {
     readonly RESOURCES_DIR="$TAPPAS_WORKSPACE/apps/h8/gstreamer/general/detection/resources"
     readonly CROPPING_ALGORITHMS_DIR="$POSTPROCESS_DIR/cropping_algorithms"
 
-    readonly DEFAULT_POSTPROCESS_SO="$POSTPROCESS_DIR/libyolo_post.so"
+    readonly DEFAULT_POSTPROCESS_SO="$POSTPROCESS_DIR/libyolo_hailortpp_post.so"
     readonly DEFAULT_NETWORK_NAME="yolov5"
     readonly DEFAULT_BATCH_SIZE="1"
     readonly DEFAULT_VIDEO_SOURCE="$RESOURCES_DIR/detection.mp4"
     readonly DEFAULT_HEF_PATH="$RESOURCES_DIR/yolov5m_wo_spp_60p.hef"
-    readonly DEFAULT_JSON_CONFIG_PATH="$RESOURCES_DIR/configs/yolov5.json"
 
     # Cropping Algorithm Macros
     readonly WHOLE_BUFFER_CROP_SO="$CROPPING_ALGORITHMS_DIR/libwhole_buffer.so"
@@ -28,7 +27,7 @@ function init_variables() {
     batch_size=$DEFAULT_BATCH_SIZE
     hef_path=$DEFAULT_HEF_PATH
     crop_so=$WHOLE_BUFFER_CROP_SO
-    json_config_path=$DEFAULT_JSON_CONFIG_PATH
+    json_config_path="null"
 
     print_gst_launch_only=false
     additional_parameters=""
@@ -73,11 +72,13 @@ function parse_args() {
                 hef_path="$RESOURCES_DIR/yolov4_leaky.hef"
                 batch_size="4"
                 json_config_path="$RESOURCES_DIR/configs/yolov4.json"
+                postprocess_so="$POSTPROCESS_DIR/libyolo_post.so"
             elif [ $2 == "yolov3" ]; then
                 network_name="yolov3"
                 hef_path="$RESOURCES_DIR/yolov3.hef"
                 batch_size="4"
                 json_config_path="$RESOURCES_DIR/configs/yolov3.json"
+                postprocess_so="$POSTPROCESS_DIR/libyolo_post.so"
             elif [ $2 == "mobilenet_ssd" ]; then
                 network_name="mobilenet_ssd"
                 hef_path="$RESOURCES_DIR/ssd_mobilenet_v1.hef"

diff --git a/apps/h8/gstreamer/general/face_detection/face_detection.sh b/apps/h8/gstreamer/general/face_detection/face_detection.sh
@@ -10,7 +10,6 @@ function init_variables() {
     readonly RESOURCES_DIR="$TAPPAS_WORKSPACE/apps/h8/gstreamer/general/face_detection/resources"
     readonly DEFAULT_POSTPROCESS_SO="$POSTPROCESS_DIR/libface_detection_post.so"
     readonly SCRFD_POSTPROCESS_SO="$POSTPROCESS_DIR/libscrfd_post.so"
-    readonly DEFAULT_DRAW_SO="$POSTPROCESS_DIR/libdetection_draw.so"
     readonly DEFAULT_VIDEO_SOURCE="$RESOURCES_DIR/face_detection.mp4"
     readonly DEFAULT_HEF_PATH="$RESOURCES_DIR/lightface_slim.hef"
     readonly DEFAULT_NETWORK_NAME="lightface"
@@ -21,7 +20,6 @@ function init_variables() {
     input_source=$DEFAULT_VIDEO_SOURCE
     hef_path=$DEFAULT_HEF_PATH
     postprocess_so=$DEFAULT_POSTPROCESS_SO
-    draw_so=$DEFAULT_DRAW_SO
     sync_pipeline=false
     json_config_path=$DEFAULT_JSON_CONFIG_PATH
 

diff --git a/apps/h8/gstreamer/general/facial_landmarks/facial_landmarks.sh b/apps/h8/gstreamer/general/facial_landmarks/facial_landmarks.sh
@@ -9,14 +9,12 @@ function init_variables() {
     readonly POSTPROCESS_DIR="$TAPPAS_WORKSPACE/apps/h8/gstreamer/libs/post_processes/"
     readonly RESOURCES_DIR="$TAPPAS_WORKSPACE/apps/h8/gstreamer/general/facial_landmarks/resources"
     readonly DEFAULT_POSTPROCESS_SO="$POSTPROCESS_DIR/libfacial_landmarks_post.so"
-    readonly DEFAULT_DRAW_SO="$POSTPROCESS_DIR/libfacial_landmarks_draw.so"
     readonly DEFAULT_VIDEO_SOURCE="$RESOURCES_DIR/faces_120_120.mp4"
     readonly DEFAULT_HEF_PATH="$RESOURCES_DIR/tddfa_mobilenet_v1.hef"
 
     hef_path=$DEFAULT_HEF_PATH
     input_source=$DEFAULT_VIDEO_SOURCE
     postprocess_so=$DEFAULT_POSTPROCESS_SO
-    draw_so=$DEFAULT_DRAW_SO
 
     print_gst_launch_only=false
     additional_parameters=""

diff --git a/apps/h8/gstreamer/general/instance_segmentation/instance_segmentation.sh b/apps/h8/gstreamer/general/instance_segmentation/instance_segmentation.sh
@@ -13,6 +13,7 @@ function init_variables() {
     readonly DEFAULT_VIDEO_SOURCE="$RESOURCES_DIR/instance_segmentation.mp4"
     readonly DEFAULT_HEF_PATH="$RESOURCES_DIR/yolov5n_seg.hef"
     readonly DEFAULT_NETWORK_NAME="yolov5seg"
+    readonly json_config_path="$RESOURCES_DIR/configs/yolov5seg.json"
 
     postprocess_so=$DEFAULT_POSTPROCESS_SO
     network_name=$DEFAULT_NETWORK_NAME
@@ -107,7 +108,7 @@ PIPELINE="gst-launch-1.0 \
     queue leaky=no max-size-buffers=30 max-size-bytes=0 max-size-time=0 ! \
     hailonet hef-path=$hef_path ! \
     queue leaky=no max-size-buffers=30 max-size-bytes=0 max-size-time=0 ! \
-    hailofilter function-name=$network_name so-path=$postprocess_so qos=false ! \
+    hailofilter function-name=$network_name so-path=$postprocess_so config-path=$json_config_path qos=false ! \
     queue leaky=no max-size-buffers=30 max-size-bytes=0 max-size-time=0 ! \
     hailooverlay qos=false ! \
     queue leaky=no max-size-buffers=30 max-size-bytes=0 max-size-time=0 ! \