WIP: work on new install script for docker

.gitignore

@@ -3,6 +3,7 @@
 .next/
 node_modules/
 *.ffm
+*.bak
 prototype/video
 history.db
 static/trackerHistory.json

README.md

@@ -53,6 +53,14 @@ If your jetson does not have jetpack 4.2 *(CUDA 10, TensorRT 5, cuDNN 7.3, Ubunt
 
 Open a terminal or ssh to you jetson and run this command (make sure your webcam is connected):
 
+
+# https://unix.stackexchange.com/questions/306007/how-to-pass-argument-to-script-which-is-input-to-bash
+
+```bash
+sudo wget -O - https://raw.githubusercontent.com/moovel/lab-opendatacam/v2/docker/run-jetson/run-opendatacam.sh | bash -s PLATFORM=nano
+```
+
+
 **For Jetson Nano:**
 
 ```bash

config.json

@@ -1,7 +1,7 @@
 {
   "PATH_TO_YOLO_DARKNET" : "/darknet",
-  "VIDEO_INPUT": "usbcam",
-  "NEURAL_NETWORK": "yolov3-tiny",
+  "VIDEO_INPUT": "TO_SPECIFY_VIDEO_INPUT",
+  "NEURAL_NETWORK": "TO_SPECIFY_NEURAL_NETWORK",
   "VIDEO_INPUTS_PARAMS": {
     "file": "demo_stuttgart.mp4",
     "usbcam": "v4l2src ! video/x-raw, framerate=30/1, width=640, height=360 ! videoconvert ! appsink",

doc/HOTSPOT.md

@@ -0,0 +1 @@
+TODO

docker/run-jetson/install-opendatacam.sh

@@ -0,0 +1,103 @@
+#!/bin/bash
+
+# exit when any command fails
+set -e
+
+VERSION=v2
+# # PLATFORM in ["nano","xavier","tx2","dockernvidia"]
+PLATFORM=undefined
+
+DEFAUT_VIDEO_INPUT_nano=raspberrycam
+DEFAUT_VIDEO_INPUT_tx2=usbcam
+DEFAUT_VIDEO_INPUT_xavier=usbcam
+
+DEFAUT_NEURAL_NETWORK_nano=yolov3-tiny
+DEFAUT_NEURAL_NETWORK_tx2=yolov2-voc
+DEFAUT_NEURAL_NETWORK_xavier=yolov3
+
+
+# animals_moo=cow; sound=moo; i="animals_$sound"; echo "${!i}"
+
+echo "Installing opendatacam docker image"
+
+display_usage() {
+  echo
+  echo "Usage: $0"
+
+  echo " -p, --platform  Specify platform : nano, xavier, tx2"
+  echo " -h, --help   Display usage instructions"
+  echo
+}
+
+raise_error() {
+  local error_message="$@"
+  echo "${error_message}" 1>&2;
+}
+
+argument="$1"
+
+if [[ -z $argument ]] ; then
+  raise_error "Expected argument to be present"
+  display_usage
+else
+  case $argument in
+    -h|--help)
+      display_usage
+      ;;
+    -p|--platform)
+      # TODO Check if existing docker image is running and stop it if it is the case
+
+      # Platform is specified 
+      PLATFORM=$2
+      # TODO verify if PLATFORM is oneOf(nano, xavier, tx2)
+      echo "Installing opendatacam $VERSION for platform: $2"
+      # Get the run-docker script
+      wget -N https://raw.githubusercontent.com/moovel/lab-opendatacam/$VERSION/docker/run-jetson/run-docker.sh
+
+      # Chmod to give exec permissions
+      chmod 777 run-docker.sh
+
+      # Get the config file
+      wget -N https://raw.githubusercontent.com/moovel/lab-opendatacam/$VERSION/config.json
+
+      # Replace VIDEO_INPUT and NEURAL_NETWORK with default config for this platform
+      sed -i'.bak' -e 's/TO_FILL_VIDEO_INPUT/$DEFAUT_VIDEO_INPUT_$PLATFORM/g' config.json
+      # sed -i'.bak' -e 's/TO_FILL_NEURAL_NETWORK/yolov3/g' config.json
+
+      # Pull, install and run opendatacam container when docker starts (on boot with --restart unless-stopped, -d is for detached mode)
+      # sudo ./darknet-docker.sh run -d --restart unless-stopped tdurand/opendatacam:v2.0.0-beta.1-nano
+
+      # Message that docker container has been started and opendatacam will be available shorty on <IP>
+      echo "Opendatacam docker container started successfully, it might take up to 1 min to start the node app"
+      echo "Open browser at http://<IP_OF_JETSON>:8080 or http://localhost:8080"
+      echo "Opendatacam will start automaticaly on boot when you restart you jetson"
+      echo "If you want to stop it or update it blabalbalabl"
+
+      ;;
+    *)
+      raise_error "Unknown argument: ${argument}"
+      display_usage
+      ;;
+  esac
+fi
+
+echo "Finished script $0"
+
+
+# "SETTINGS_BY_PLATFORM": {
+#     "nano": {
+#       "VIDEO_INPUT": "raspberrycam",
+#       "NEURAL_NETWORK": "yolov3-tiny"
+#     },
+#     "tx2": {
+#       "VIDEO_INPUT": "usbcam",
+#       "NEURAL_NETWORK": "yolov2-voc"
+#     },
+#     "xavier": {
+#       "VIDEO_INPUT": "usbcam",
+#       "NEURAL_NETWORK": "yolov3"
+#     }
+#   },
+
+
+

docker/run-jetson/darknet-docker.sh → docker/run-jetson/run-docker.sh

@@ -1,10 +1,12 @@
 #!/bin/bash
 
 # This script is meant to serve as a placeholder until nvidia-docker is
-# available on the Jetson TX2. Its recommended usage is the equivalent to a
+# available on the Jetson platform. Its recommended usage is the equivalent to a
 # vanilla `docker run` command with no spaces between `docker` and `run`:
 #
-# ./darknet-docker run --rm -it somedockerimage
+# It does mount all the necessary dependencies for GPU usage from the docker image, like CUDA, CUDNN
+#
+# ./run-docker run --rm -it somedockerimage to run interactively
 #
 
 # Reference: strace -v -f /darknet/darknet detector test cfg/voc.data cfg/tiny-yolo-voc.cfg tiny-yolo-voc.weights data/dog.jpg 2>&1 | grep etc