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davidgillsjo /srw-net:a3b8d864
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:a3b8d86433a774113ebc48b1b853897dda957a0ff792c7bfb1d6b9781081994c",
{
input: {
input_image: "https://replicate.delivery/mgxm/b56de6bc-ec1f-4298-8b22-9fc79678f0c1/S03302R877178P2.png",
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:a3b8d86433a774113ebc48b1b853897dda957a0ff792c7bfb1d6b9781081994c",
input={
"input_image": "https://replicate.delivery/mgxm/b56de6bc-ec1f-4298-8b22-9fc79678f0c1/S03302R877178P2.png",
"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": "a3b8d86433a774113ebc48b1b853897dda957a0ff792c7bfb1d6b9781081994c",
"input": {
"input_image": "https://replicate.delivery/mgxm/b56de6bc-ec1f-4298-8b22-9fc79678f0c1/S03302R877178P2.png",
"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.
brew install cog
If you don’t have Homebrew, there are other installation options available.
Run this to download the model and run it in your local environment:
cog predict r8.im/davidgillsjo/srw-net@sha256:a3b8d86433a774113ebc48b1b853897dda957a0ff792c7bfb1d6b9781081994c \
-i 'input_image="https://replicate.delivery/mgxm/b56de6bc-ec1f-4298-8b22-9fc79678f0c1/S03302R877178P2.png"' \
-i 'output_format="Plot"' \
-i 'confidence_threshold=0.9'
To learn more, take a look at the Cog documentation.
Run this to download the model and run it in your local environment:
docker run -d -p 5000:5000 --gpus=all r8.im/davidgillsjo/srw-net@sha256:a3b8d86433a774113ebc48b1b853897dda957a0ff792c7bfb1d6b9781081994c
curl -s -X POST \ -H "Content-Type: application/json" \ -d $'{ "input": { "input_image": "https://replicate.delivery/mgxm/b56de6bc-ec1f-4298-8b22-9fc79678f0c1/S03302R877178P2.png", "output_format": "Plot", "confidence_threshold": 0.9 } }' \ http://localhost:5000/predictions
To learn more, take a look at the Cog documentation.
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Output
{
"completed_at": "2022-06-28T08:49:18.464875Z",
"created_at": "2022-06-28T08:48:53.738270Z",
"data_removed": false,
"error": null,
"id": "uwtkzahdargxpm5gfswupbdem4",
"input": {
"input_image": "https://replicate.delivery/mgxm/b56de6bc-ec1f-4298-8b22-9fc79678f0c1/S03302R877178P2.png",
"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": 2.368825,
"total_time": 24.726605
},
"output": {
"plot": "https://replicate.delivery/mgxm/73579774-070d-4b31-9a2f-a8f41c05dea9/output.png"
},
"started_at": "2022-06-28T08:49:16.096050Z",
"status": "succeeded",
"urls": {
"get": "https://api.replicate.com/v1/predictions/uwtkzahdargxpm5gfswupbdem4",
"cancel": "https://api.replicate.com/v1/predictions/uwtkzahdargxpm5gfswupbdem4/cancel"
},
"version": "a3b8d86433a774113ebc48b1b853897dda957a0ff792c7bfb1d6b9781081994c"
}
/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]