Signed-off-by: Djordje Senicic <[email protected]>
---
 tidl_apps/tidl_demo_objdet/desc_tidl_demo_objdet.html    | 5 +++++
 tidl_apps/tidl_demo_objdet/runTidlObjdet.sh              | 6 ++++++
 tidl_apps/tidl_demo_objdet/tidl_demo_objdet.desktop      | 9 +++++++++
 .../desc_tidl_demo_objdet_livecam.html                   | 5 +++++
 .../tidl_demo_objdet_livecam/runTidlObjdet_livecam.sh    | 6 ++++++
 .../tidl_demo_objdet_livecam.desktop                     | 9 +++++++++
 6 files changed, 40 insertions(+)
 create mode 100644 tidl_apps/tidl_demo_objdet/desc_tidl_demo_objdet.html
 create mode 100644 tidl_apps/tidl_demo_objdet/runTidlObjdet.sh
 create mode 100644 tidl_apps/tidl_demo_objdet/tidl_demo_objdet.desktop
 create mode 100644 
tidl_apps/tidl_demo_objdet_livecam/desc_tidl_demo_objdet_livecam.html
 create mode 100644 tidl_apps/tidl_demo_objdet_livecam/runTidlObjdet_livecam.sh
 create mode 100644 
tidl_apps/tidl_demo_objdet_livecam/tidl_demo_objdet_livecam.desktop

diff --git a/tidl_apps/tidl_demo_objdet/desc_tidl_demo_objdet.html 
b/tidl_apps/tidl_demo_objdet/desc_tidl_demo_objdet.html
new file mode 100644
index 0000000..2527386
--- /dev/null
+++ b/tidl_apps/tidl_demo_objdet/desc_tidl_demo_objdet.html
@@ -0,0 +1,5 @@
+<h1>TIDL Demo with Object Detection of Pascal VOC classes (21 class), 
2xEVE+1xDSP</h1>
+<h2>Purpose:</h2>
+<p>This application demonstrates Deep Learning Object detection of Pascal VOC 
classes, based on JDetNet network topology.</p>
+<p>Both EVE and one DSP cores are used for processing (frame-based pipeline), 
using pre-recorded clip.</p>
+<p>AM5749 only demo!</p>
diff --git a/tidl_apps/tidl_demo_objdet/runTidlObjdet.sh 
b/tidl_apps/tidl_demo_objdet/runTidlObjdet.sh
new file mode 100644
index 0000000..15bf433
--- /dev/null
+++ b/tidl_apps/tidl_demo_objdet/runTidlObjdet.sh
@@ -0,0 +1,6 @@
+cd /usr/share/ti/tidl/examples/ssd_multibox
+if cat /proc/device-tree/model | grep "AM574"
+then
+  ./ssd_multibox -p 40 -d 1 -e 2 -f 1000 -i ./clips/pexels_videos_3623.mp4
+fi
+
diff --git a/tidl_apps/tidl_demo_objdet/tidl_demo_objdet.desktop 
b/tidl_apps/tidl_demo_objdet/tidl_demo_objdet.desktop
new file mode 100644
index 0000000..e1da9b7
--- /dev/null
+++ b/tidl_apps/tidl_demo_objdet/tidl_demo_objdet.desktop
@@ -0,0 +1,9 @@
+#!/usr/bin/env xdg-open
+[Desktop Entry]
+Name=(AM5749 only!) JDetNet object detection using pre-recorded clip 
(1xDSP+2xEVE)
+Icon=/usr/share/matrix-gui-2.0/apps/images/tidl-icon.png
+Exec=runTidlObjdet.sh
+Type=Application
+ProgramType=gui
+Categories=tidl
+X-Matrix-Description=/usr/share/matrix-gui-2.0/apps/tidl_demo_objdet/desc_tidl_demo_objdet.html
diff --git 
a/tidl_apps/tidl_demo_objdet_livecam/desc_tidl_demo_objdet_livecam.html 
b/tidl_apps/tidl_demo_objdet_livecam/desc_tidl_demo_objdet_livecam.html
new file mode 100644
index 0000000..ebef422
--- /dev/null
+++ b/tidl_apps/tidl_demo_objdet_livecam/desc_tidl_demo_objdet_livecam.html
@@ -0,0 +1,5 @@
+<h1>TIDL Demo with Object Detection of Pascal VOC classes (21 class), from 
livecam, 2xEVE+1xDSP</h1>
+<h2>Purpose:</h2>
+<p>This application demonstrates Deep Learning object detection of Pascal VOC 
classes, based on JSegDet network topology.</p>
+<p>Both EVE and one DSP cores are used for processing (frame-based pipelin). 
Video input comes from /dev/video1, i.e. live camera</p>
+<p>This demo runs on AM5749 only!</p>
diff --git a/tidl_apps/tidl_demo_objdet_livecam/runTidlObjdet_livecam.sh 
b/tidl_apps/tidl_demo_objdet_livecam/runTidlObjdet_livecam.sh
new file mode 100644
index 0000000..e163542
--- /dev/null
+++ b/tidl_apps/tidl_demo_objdet_livecam/runTidlObjdet_livecam.sh
@@ -0,0 +1,6 @@
+cd /usr/share/ti/tidl/examples/ssd_multibox
+if cat /proc/device-tree/model | grep "AM574"
+then
+  ./ssd_multibox -p 40 -d 1 -e 2 -f 1000 -i 1
+fi
+
diff --git 
a/tidl_apps/tidl_demo_objdet_livecam/tidl_demo_objdet_livecam.desktop 
b/tidl_apps/tidl_demo_objdet_livecam/tidl_demo_objdet_livecam.desktop
new file mode 100644
index 0000000..868a85e
--- /dev/null
+++ b/tidl_apps/tidl_demo_objdet_livecam/tidl_demo_objdet_livecam.desktop
@@ -0,0 +1,9 @@
+#!/usr/bin/env xdg-open
+[Desktop Entry]
+Name=(AM5749 only!) JDetNet object detection using live camera input 
(1xDSP+2xEVE)
+Icon=/usr/share/matrix-gui-2.0/apps/images/tidl-icon.png
+Exec=runTidlObjdet_livecam.sh
+Type=Application
+ProgramType=gui
+Categories=tidl
+X-Matrix-Description=/usr/share/matrix-gui-2.0/apps/tidl_demo_objdet/desc_tidl_demo_objdet_livecam.html
-- 
2.17.1

_______________________________________________
meta-arago mailing list
[email protected]
http://arago-project.org/cgi-bin/mailman/listinfo/meta-arago

Reply via email to