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davidgillsjo /srw-net:7a3b45aa
Input
Run this model in Node.js with one line of code:
npm install replicate
REPLICATE_API_TOKEN
environment variable:export REPLICATE_API_TOKEN=<paste-your-token-here>
Find your API token in your account settings.
import Replicate from "replicate";
const replicate = new Replicate({
auth: process.env.REPLICATE_API_TOKEN,
});
Run davidgillsjo/srw-net using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run(
"davidgillsjo/srw-net:7a3b45aa4a8be5c30a79184da92d7ad6d5b9ac185c26ebcbed3708cf707da036",
{
input: {
input_image: "https://replicate.delivery/mgxm/5bc4c9ed-d97e-4ae8-bb15-4b10614c6040/room.jpg",
output_format: "Plot",
confidence_threshold: 0.9
}
}
);
console.log(output);
To learn more, take a look at the guide on getting started with Node.js.
pip install replicate
REPLICATE_API_TOKEN
environment variable:export REPLICATE_API_TOKEN=<paste-your-token-here>
Find your API token in your account settings.
import replicate
Run davidgillsjo/srw-net using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run(
"davidgillsjo/srw-net:7a3b45aa4a8be5c30a79184da92d7ad6d5b9ac185c26ebcbed3708cf707da036",
input={
"input_image": "https://replicate.delivery/mgxm/5bc4c9ed-d97e-4ae8-bb15-4b10614c6040/room.jpg",
"output_format": "Plot",
"confidence_threshold": 0.9
}
)
print(output)
To learn more, take a look at the guide on getting started with Python.
REPLICATE_API_TOKEN
environment variable:export REPLICATE_API_TOKEN=<paste-your-token-here>
Find your API token in your account settings.
Run davidgillsjo/srw-net using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
curl -s -X POST \
-H "Authorization: Bearer $REPLICATE_API_TOKEN" \
-H "Content-Type: application/json" \
-H "Prefer: wait" \
-d $'{
"version": "7a3b45aa4a8be5c30a79184da92d7ad6d5b9ac185c26ebcbed3708cf707da036",
"input": {
"input_image": "https://replicate.delivery/mgxm/5bc4c9ed-d97e-4ae8-bb15-4b10614c6040/room.jpg",
"output_format": "Plot",
"confidence_threshold": 0.9
}
}' \
https://api.replicate.com/v1/predictions
To learn more, take a look at Replicate’s HTTP API reference docs.
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Output
{
"completed_at": "2022-06-23T05:53:45.196981Z",
"created_at": "2022-06-23T05:52:10.833686Z",
"data_removed": false,
"error": null,
"id": "pr4btwwxfzh4bfxuat5uu67v7q",
"input": {
"input_image": "https://replicate.delivery/mgxm/5bc4c9ed-d97e-4ae8-bb15-4b10614c6040/room.jpg",
"output_format": "Plot",
"confidence_threshold": 0.9
},
"logs": "/root/.pyenv/versions/3.8.13/lib/python3.8/site-packages/torch/functional.py:445: UserWarning: torch.meshgrid: in an upcoming release, it will be required to pass the indexing argument. (Triggered internally at ../aten/src/ATen/native/TensorShape.cpp:2157.)\n return _VF.meshgrid(tensors, **kwargs) # type: ignore[attr-defined]",
"metrics": {
"predict_time": 2.754122,
"total_time": 94.363295
},
"output": {
"plot": "https://replicate.delivery/mgxm/a0c09c61-d02c-4cd4-9593-a422c5fd2581/output.png"
},
"started_at": "2022-06-23T05:53:42.442859Z",
"status": "succeeded",
"urls": {
"get": "https://api.replicate.com/v1/predictions/pr4btwwxfzh4bfxuat5uu67v7q",
"cancel": "https://api.replicate.com/v1/predictions/pr4btwwxfzh4bfxuat5uu67v7q/cancel"
},
"version": "7a3b45aa4a8be5c30a79184da92d7ad6d5b9ac185c26ebcbed3708cf707da036"
}
/root/.pyenv/versions/3.8.13/lib/python3.8/site-packages/torch/functional.py:445: UserWarning: torch.meshgrid: in an upcoming release, it will be required to pass the indexing argument. (Triggered internally at ../aten/src/ATen/native/TensorShape.cpp:2157.)
return _VF.meshgrid(tensors, **kwargs) # type: ignore[attr-defined]