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Virtual Plant Imager APILink

Once you start the romi_virtualplantimager Python script in Blender, you will have a Flask server running and listening to HTTP requests.

Hereafter we list the GET/POST requests that can be made and give some examples.

Start the Blender serverLink

There are many ways to do this, but the simplest & fastest option is to use the Docker image roboticsmicrofarms/virtualplantimager.

Note

We make use of the $ROMI_DB environment variable. If not done yet, you may want to set it with export ROMI_DB=/path/to/database. Or replace it with the path to use.

Start a containerLink

Start a container and open a bash shell:

docker run -it --gpus all roboticsmicrofarms/virtualplantimager:latest -v $ROMI_DB:/myapp/db bash

Start a container and open a bash shell:

./docker/virtualplantimager/run.sh -db $ROMI_DB

Start the Blender Flask serverLink

Then start the Blender server (listening to port 9001) with:

romi_bpy plant-imager/bin/romi_virtualplantimager -- --port 9001

When the server is up and running you should get something like:

 * Serving Flask app 'romi_virtualplantimager'
 * Running on all addresses (0.0.0.0)
 * Running on http://127.0.0.1:9001
 * Running on http://172.17.0.2:9001

Note

The first HTTP address is accessible from within the container. The second HTTP address is accessible from the host running the container.

Test the serverLink

You may now use a web browser to submit a /hello_world request at http://172.17.0.2:9001.

To do so, just copy/paste http://172.17.0.2:9001/hello_world to the URL bar.

You may use Python to submit a request at http://172.0.0.1:9001.

For example, you may get info by submitting a /hello_world request as follows:

  1. Open a new shell in the running container with (do not forget to replace the CONTAINER_ID):
    docker exec -it CONTAINER_ID bash
    
  2. Then use Python to send a GET request:
    python -c "import requests
    res = requests.get('http://127.0.0.1:9001/hello_world')
    print(res.content.decode())"
    

You should get a JSON response similar to this:

"Hello World!"
"I am a Flask server named 'romi_virtualplantimager'."
"I run Blender 2.93.16 built on 2023-03-21."
"I run Python 3.9.16."

ReferenceLink

ObjectsLink

  • /objects (GET): retrieve the list of obj files in the data folder that can be loaded.
  • /load_object/<object_id> (GET) load the given object in the scene. Takes a translation vector as URL parameters (dx, dy, dz)

ClassesLink

  • /classes (GET): retrieve the list of classes.

BackgroundsLink

  • /backgrounds (GET): retrieve the list of hdr files in the hdri folder that can be loaded.
  • /load_background/<background_id> (GET) load the given background in the scene.

CameraLink

  • /camera_intrinsics (POST): set camera intrinsics. Keys: width, height, focal
  • /camera_pose (POST): set camera pose. Keys: tx, ty, tz, rx, ry, rz

RenderingLink

  • /render (GET): gets the rendering of the scene
  • /render_class/<class_id> (GET) renders the scene, with everything transparent except the given class

Todo

Missing endpoints.

ExamplesLink

Using a browser to send HTTP requests is not too convenient. Instead, you may use httpie to send HTTP commands from a terminal.

To easily adapt to other configurations, we define the $VPI_HOST & $VPI_PORT variables. For example, matching the example given above, we define:

export VPI_HOST='172.17.0.2'
export VPI_PORT='9001'

Setup cameraLink

http -f post "http://$VPI_HOST:$VPI_PORT/camera_intrinsics width=1920 height=1080 focal=35"

Load arabidopsis_0 OBJLink

http get "http://$VPI_HOST:$VPI_PORT/load_object/arabidopsis_0.obj?dx=10&dy=20&dz=1"

Load "old tree in the park" backgroundLink

http get "http://127.0.0.1:$VPI_PORT/load_background/old_tree_in_city_park_8k.hdr"

Move cameraLink

http -f post "http://$VPI_HOST:$VPI_PORT/camera_pose tx=-60 ty=0 tz=50 rx=60 ry=0 rz=-90"

Render scene and download imageLink

http --download get "http://$VPI_HOST:$VPI_PORT/render"

Render only leavesLink

http --download get "http://$VPI_HOST:$VPI_PORT/render_class/Color_7"