oeway

import sys, os
import imagej
import scyjava as sj
import argparse
import asyncio
import traceback
import numpy as np
import xarray as xr
from jpype import JOverride, JImplements
from imjoy_rpc.hypha import connect_to_server

oeway

<docs lang="markdown">
[TODO: write documentation for this plugin.]
</docs>

<config lang="json">
{
  "name": "CodeInterpreter",
  "type": "window",
  "tags": [],
  "ui": "",

oeway

import logging
import sys
from urllib.parse import urljoin

import asyncio
import aiohttp
from aiohttp import web


TARGET_SERVER_BASE_URL = 'http://127.0.0.1:8888'

oeway

<docs>
[TODO: write documentation for this plugin.]
</docs>

<config lang="json">
{
  "name": "ImageViewerServices",
  "type": "web-worker",
  "tags": [],
  "ui": "",

oeway

oeway

<docs>
[TODO: write documentation for this plugin.]
</docs>

<config lang="json">
{
  "name": "VizarrReferenceStore",
  "type": "web-worker",
  "tags": [],
  "ui": "",

oeway

SAM for the BioEngine

Inference

Here are some files for converting SAM models to make it available in the BioEngine (local deployment: https://github.com/oeway/bioengine/).

The tree strcture for the model repository is like this:

├── sam-backbone
│ ├── 1

oeway

<docs lang="markdown">
[TODO: write documentation for this plugin.]
</docs>

<config lang="json">
{
  "name": "React UI Plugin",
  "type": "window",
  "tags": [],
  "ui": "",

oeway

<docs lang="markdown">
[TODO: write documentation for this plugin.]
</docs>

<config lang="json">
{
  "name": "stlite Demo",
  "type": "window",
  "tags": [],
  "ui": "",

oeway

<docs lang="markdown">
[TODO: write documentation for this plugin.]
</docs>

<config lang="json">
{
  "name": "PythonPlugin",
  "type": "web-python",
  "version": "0.1.0",
  "description": "[TODO: describe this plugin with one sentence.]",