Make an acquisition with the Plant ImagerLink
This tutorial will guide through the steps of acquiring images of a plant using the
plant imager robot
In order to collect data in the process of plant phenotyping, the plant imager robot takes RGB images of an object following a particular path with precise camera poses.
To run an acquisition, you should previously have:
1. Check that you are well interfaced with the plant imagerLink
- make sure you are in the conda environment or that you run properly the docker for the
- interface the machine running the ROMI software with the plant imager:
- check that your device is correctly connected to the Gimbal and CNC both by USB
- turn on camera and connect it to the device via Wi-Fi
- set up a DB or quickly generate a simple database with the following commands:
mkdir path/to/db touch path/to/db/romidb
You have now your file based database plantdb
2. Get the right configurationLink
Scan is the basic task for running an acquisition with the robot.
To run this task properly with
romi_run_task, a configuration file is needed.
A default one for the plant imager can be found under
It regroups specifications on:
- the acquisition path (ScanPath)
- needed parameters for connection between hardware components (CNC, Gimbal and camera) and software (Scan.scanner)
- object metadata (in Scan.metadata.object)
- hardware metadata (in Scan.metadata.hardware)
An important parameter is the number of images acquisition you want to perform, defined by
If you pick a number of acquisition in the following range of values, it will result in an integer rotation angle:
1, 2, 3, 4, 5, 6, 8, 9, 10, 12, 15, 18, 20, 24, 30, 36, 40, 45, 60, 72, 90, 120, 180, 360.
The truly recommended values are in bold.
[ScanPath] # Example, circular path with 60 points: class_name = "Circle" [ScanPath.kwargs] center_x = 375 center_y = 375 z = 80 tilt = 0 radius = 300 n_points = 60 [Scan.scanner.cnc] # module and kwargs linked to the CNC module = "plantimager.grbl" [Scan.scanner.cnc.kwargs] homing = true port = "/dev/ttyACM0" [Scan.scanner.gimbal] # module and kwargs linked to the gimbal module = "plantimager.blgimbal" [Scan.scanner.gimbal.kwargs] port = "/dev/ttyACM1" has_tilt = false zero_pan = 0 invert_rotation = true [Scan.scanner.camera] # camera related parameters module = "plantimager.sony" [Scan.scanner.camera.kwargs] device_ip = "192.168.122.1" api_port = "10000" postview = true use_flashair = false rotation = 270 [Scan.metadata.object] # object related metadata species = "chenopodium album" seed_stock = "Col-0" plant_id = "3dt_chenoA" growth_environment = "Lyon-indoor" growth_conditions = "SD+LD" treatment = "None" DAG = 40 sample = "main_stem" experiment_id = "3dt_26-01-2021" dataset_id = "3dt" [Scan.metadata.hardware] # hardware related metadata frame = "30profile v1" X_motor = "X-Carve NEMA23" Y_motor = "X-Carve NEMA23" Z_motor = "X-Carve NEMA23" pan_motor = "iPower Motor GM4108H-120T Brushless Gimbal Motor" tilt_motor = "None" sensor = "RX0" [Scan.metadata.workspace] # A volume containing the target imaged object x = [ 200, 600,] y = [ 200, 600,] z = [ -100, 300,]
3. Run an acquisition with the
Assuming you have an active database, you can now run the
Scan task using
romi_run_task --config config/hardware.toml Scan /path/to/db/imageset_id/
/path/to/dbmust be an existing FSDB database
- there is no
/path/to/db/imageset_idalready existing in the database.
This will create the corresponding folder and fill it with images from the imageset.
After a rather short time following running the command, you should hear the robot start and when the acquisition is finished, a
This progress looks :) should appear.
If it's not the case, try to look at the Troubleshooting section at the end of this tutorial
4. Obtain an image setLink
Once the acquisition is done, the database is updated, and we now have the following tree structure:
db/ ├── imageset_id/ │ ├── files.json │ ├── images/ │ ├── metadata/ │ │ └── images/ │ │ └── images.json │ └── scan.toml └── romidb
imagescontaining a list of RGB images acquired by the camera moving around the plant
metadata/imagesa folder filled with json files recording the poses (camera coordinates) for each taken image
metadata/images.jsoncontaining parameters of the acquisition that will be used later in reconstruction (type of format for the images, info on the object and the workspace)
files.jsondetailing the files contained in the imageset_id
scan.json, a copy of the acquisition config file
You can now reconstruct your plant in 3d !
Serial access deniedLink
- The CNC and Gimbal might be connected to different ports than the ones specified in the configuration file. Please check with the
- Look here if you can not communicate with the scanner using usb.
- Make sure the device used to run the acquisition is indeed connected to the camera (Wi-Fi)
- Message to Gimbal still transiting :
Traceback (most recent call last): File "/home/romi/miniconda3/envs/scan_0.8/lib/python3.8/site-packages/serial/serialposix.py", line 265, in open self.fd = os.open(self.portstr, os.O_RDWR | os.O_NOCTTY | os.O_NONBLOCK) OSError: [Errno 16] Device or resource busy: '/dev/ttyACM0'
Try disconnect and reconnect the USB link and rerun an acquisition