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author | JuneChul Roh <jroh@ti.com> | |
Mon, 14 Dec 2020 01:37:55 +0000 (19:37 -0600) | ||
committer | JuneChul Roh <jroh@ti.com> | |
Mon, 14 Dec 2020 01:37:55 +0000 (19:37 -0600) |
README.md | patch | blob | history | |
docker/README.md | patch | blob | history |
diff --git a/README.md b/README.md
index 1f42595ef4af87f06a2d4acf4db3db2feec7e543..c9345681f3d160d211a7caa78e8c69c6f557f78b 100644 (file)
--- a/README.md
+++ b/README.md
### TI Vision Apps Library
The TI Vision Apps Library is a set of APIs for the target deployment that are derived from the Jacinto 7 Processor SDK RTOS, which includes:
+
- TI OpenVX kernels and infrastructure
- TI deep learning (TIDL) applications
- Imaging and vision applications
diff --git a/docker/README.md b/docker/README.md
index f966d4c7b29178ed570bdd47d94a21e432ac0f46..4cbc84eaaef0193296b9241cc067d7d00c858fb5 100644 (file)
--- a/docker/README.md
+++ b/docker/README.md
### Setup
-Figure shows hardware setup and high-level installation steps on the J7 target and the remote Ubuntu PC.
+Figure 1 shows the hardware setup and high-level installation steps on the J7 target and the remote Ubuntu PC.
<figure class="image">
<center><img src="docs/tiovx_ros_setup.svg"/></center>
@@ -39,13 +39,14 @@ Figure shows hardware setup and high-level installation steps on the J7 target a
<!-- ================================================================================= -->
## Clone Git Repository
1. Set up the project directory and the catkin workspace:
- ```sh
+ ```
WORK_DIR=$HOME/j7ros_home
CATKIN_WS=$WORK_DIR/catkin_ws
mkdir -p $CATKIN_WS/src
cd $CATKIN_WS/src
```
+
2. Clone the project GIT repository:
```
git clone https://git.ti.com/git/processor-sdk-vision/jacinto_ros_perception.git
@@ -53,12 +54,12 @@ Figure shows hardware setup and high-level installation steps on the J7 target a
## Download TIDL Model & ROSBAG File
1. For convenience, set up following soft-links:
- ```sh
+ ```
cd $WORK_DIR
ln -s $CATKIN_WS/src/jacinto_ros_perception/docker/Makefile
```
2. To download data files, run the following in `$WORK_DIR`:
- ```sh
+ ```
make data_download
```
Two tarballs (TIDL network model files, and a ROSBAG file) are downloaded and uncompressed under `$WORK_DIR/data`. Each tarball can be downloaded individually with `make tidl_net_download` and `make rosbag_download`, respectively.