Picsellia
  • Picsellia
  • Getting started
    • Start using Picsellia
    • Create, annotate, review a Dataset
    • Create a new Dataset Version with merged labels
    • Train a custom Object Detection model
    • Train a custom Classification model
    • Deploy model in production (Tensorflow only)
    • Feedback loop - Send predictions from models to Datalake or Datasets
  • Data Management
    • Upload assets to your Lake
    • Edit Tags for Pictures
    • Create a Dataset
    • Add data to a Dataset
    • Create a new Dataset version
    • Configure your Labels
    • Import annotation from other Dataset version
  • Experiment Tracking
    • Initialize an experiment
    • Checkout an experiment
    • Log your results to Picsell.ia
    • Store your files to Picsell.ia
    • Evaluate your models
    • Retrieve and update your assets
    • Publish your model
    • Namespace
  • Hyperparameter tuning
    • Overview
    • Install Picsell CLI
    • Config
    • Launch your Hyperparameters tuning
  • Models
    • Model HUB
  • References
    • API Reference
    • Python SDK Reference
    • Python Training Reference
  • Organization
  • Website
Powered by GitBook
On this page
  • 1 . Prerequisites
  • 2 . Installation
  • 3 . Add your PICSELLIA TOKEN to your env variables
  • 4 . Run the CLI

Was this helpful?

  1. Hyperparameter tuning

Install Picsell CLI

The CLI Picsellia is the simplest way to manage and orchestrate your training in order to find your best hyper-parameters

PreviousOverviewNextConfig

Last updated 4 years ago

Was this helpful?

1 . Prerequisites

You need to have Docker installed to use the CLI as it will launch your Scan in Docker Container

Install Docker on Windows :

Install Docker on macOS :

Install Docker on Linux :

2 . Installation

To install the Picsell CLI on Linux:

  1. Download the latest darwin tar.gz file from

  2. Unzip the file: tar -xvf picsell_X.X.X_darwin_x86_64.tar.gz

Optionally, install the binary in a location where you can execute it globally (e.g., /usr/local/bin) or create a symbolic link with

sudo ln -s $(PWD)/picsell /usr/local/bin

To install the Picsell CLI on Windows:

  1. Download the latest linux zip file from

  2. tar -xvf picsell_X.X.X_linux_386.tar.gz

Optionally, install the binary in a location where you can execute it globally (e.g., /usr/local/bin) or create a symbolic link with

sudo ln -s $(PWD)/picsell /usr/local/bin

To install the Picsell CLI on macOS:

  1. Download the latest windows tar.gz file from

  2. Unzip the file: picsell_X.X.X_windows_386.tar.gz

  3. Run the unzipped .exe file

3 . Add your PICSELLIA TOKEN to your env variables

Just add you picsellia token to your bash_profile

vim ~/.bash_profile

export PICSELLIA_TOKEN=yourtoken

source ~/.bash_profile

Add PICSELLIA_TOKEN to your bashrc file and source it

nano ~/.bashrc

export PICSELLIA_TOKEN=your_token

source ~/.bashrc

Then just put your picsellia token available in your profile

1 . Right click on Computer, Advanced system settings

2 . Select Advanced tab and click Environment variables.

3. Add an env variable PICSELLIA_TOKEN

4 . Run the CLI

picsell -h if you put picsell CLI in your path or

./picsell -h

picsell -h if you put picsell CLI in your path or

./picsell -h

picsell -h

https://docs.docker.com/docker-for-windows/install/
https://docs.docker.com/docker-for-mac/install/
https://docs.docker.com/engine/install/ubuntu/
https://github.com/PicselliaTeam/PicsellAgent/releases
https://github.com/PicselliaTeam/PicsellAgent/releases
https://github.com/PicselliaTeam/PicsellAgent/releases