Prediction

ID

kbk2nggja9rm80cnnenrh3rapg

Status

Succeeded

Source

Web

Hardware

CPU

Total duration

19.3s

Created

3 months ago

Input

image
return_probabilities
use_rotation_averaging

{
  "image": "https://replicate.delivery/pbxt/MgRH6lhJhjdL7Ac1u1Iu63sFxW8gW8GAaX2MTmlr63nqXBDd/00240005.jpg",
  "return_probabilities": false,
  "use_rotation_averaging": false
}

npm install replicate

Import and set up the client:

import Replicate from "replicate";

const replicate = new Replicate({
  auth: process.env.REPLICATE_API_TOKEN,
});

Run grace-raper/resnet-rot using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "grace-raper/resnet-rot:349fc7e1ff0f308ca33aecab35219b2f25ef0053565bcbe9a9cfeeed01a865bc",
  {
    input: {
      image: "https://replicate.delivery/pbxt/MgRH6lhJhjdL7Ac1u1Iu63sFxW8gW8GAaX2MTmlr63nqXBDd/00240005.jpg",
      return_probabilities: false,
      use_rotation_averaging: false
    }
  }
);

console.log(output);

To learn more, take a look at the guide on getting started with Node.js.

pip install replicate

Import the client:

import replicate

Run grace-raper/resnet-rot using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "grace-raper/resnet-rot:349fc7e1ff0f308ca33aecab35219b2f25ef0053565bcbe9a9cfeeed01a865bc",
    input={
        "image": "https://replicate.delivery/pbxt/MgRH6lhJhjdL7Ac1u1Iu63sFxW8gW8GAaX2MTmlr63nqXBDd/00240005.jpg",
        "return_probabilities": False,
        "use_rotation_averaging": False
    }
)
print(output)

To learn more, take a look at the guide on getting started with Python.

Run grace-raper/resnet-rot 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": "grace-raper/resnet-rot:349fc7e1ff0f308ca33aecab35219b2f25ef0053565bcbe9a9cfeeed01a865bc",
    "input": {
      "image": "https://replicate.delivery/pbxt/MgRH6lhJhjdL7Ac1u1Iu63sFxW8gW8GAaX2MTmlr63nqXBDd/00240005.jpg",
      "return_probabilities": false,
      "use_rotation_averaging": false
    }
  }' \
  https://api.replicate.com/v1/predictions

To learn more, take a look at Replicate’s HTTP API reference docs.

Output

{ "best_angle": 90 }

Generated in

3.0 seconds

grace-raper/resnet-rot:349fc7e1ff0f308ca33aecab35219b2f25ef0053565bcbe9a9cfeeed01a865bc

Prediction

Model

ID

55njzwr4ssrmc0cnnerre69bmg

Status

Succeeded

Source

Web

Hardware

CPU

Total duration

69.5s

Created

3 months ago

Input

image
return_probabilities
use_rotation_averaging

{
  "image": "https://replicate.delivery/pbxt/MgRNGcAry2svh5adWK6woJHD4WFQA5QZO7X5rRLGDITmQkoa/example_2.jpg",
  "return_probabilities": true,
  "use_rotation_averaging": true
}

npm install replicate

Import and set up the client:

import Replicate from "replicate";

const replicate = new Replicate({
  auth: process.env.REPLICATE_API_TOKEN,
});

Run grace-raper/resnet-rot using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "grace-raper/resnet-rot:349fc7e1ff0f308ca33aecab35219b2f25ef0053565bcbe9a9cfeeed01a865bc",
  {
    input: {
      image: "https://replicate.delivery/pbxt/MgRNGcAry2svh5adWK6woJHD4WFQA5QZO7X5rRLGDITmQkoa/example_2.jpg",
      return_probabilities: true,
      use_rotation_averaging: true
    }
  }
);

console.log(output);

To learn more, take a look at the guide on getting started with Node.js.

pip install replicate

Import the client:

import replicate

Run grace-raper/resnet-rot using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "grace-raper/resnet-rot:349fc7e1ff0f308ca33aecab35219b2f25ef0053565bcbe9a9cfeeed01a865bc",
    input={
        "image": "https://replicate.delivery/pbxt/MgRNGcAry2svh5adWK6woJHD4WFQA5QZO7X5rRLGDITmQkoa/example_2.jpg",
        "return_probabilities": True,
        "use_rotation_averaging": True
    }
)
print(output)

To learn more, take a look at the guide on getting started with Python.

Run grace-raper/resnet-rot 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": "grace-raper/resnet-rot:349fc7e1ff0f308ca33aecab35219b2f25ef0053565bcbe9a9cfeeed01a865bc",
    "input": {
      "image": "https://replicate.delivery/pbxt/MgRNGcAry2svh5adWK6woJHD4WFQA5QZO7X5rRLGDITmQkoa/example_2.jpg",
      "return_probabilities": true,
      "use_rotation_averaging": true
    }
  }' \
  https://api.replicate.com/v1/predictions

To learn more, take a look at Replicate’s HTTP API reference docs.

Output

{ "best_angle": 90, "probabilities": { "0": 0.00032022394790232056, "90": 0.9982875436544418, "180": 0.0002286813382852415, "270": 0.0011635463747552421 } }

Generated in

10.0 seconds

grace-raper/resnet-rot:349fc7e1ff0f308ca33aecab35219b2f25ef0053565bcbe9a9cfeeed01a865bc

Prediction

Model

ID

npdsq5v6d9rme0cnnesbc91h0r

Status

Succeeded

Source

Web

Hardware

CPU

Total duration

9.7s

Created

3 months ago

Input

image
return_probabilities
use_rotation_averaging

{
  "image": "https://replicate.delivery/pbxt/MgROhjU1jIAHUyNtT3H3ldvVLluXIKRMQvzRdmvLm74mc2em/example_1.jpg",
  "return_probabilities": true,
  "use_rotation_averaging": true
}

npm install replicate

Import and set up the client:

import Replicate from "replicate";

const replicate = new Replicate({
  auth: process.env.REPLICATE_API_TOKEN,
});

Run grace-raper/resnet-rot using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "grace-raper/resnet-rot:349fc7e1ff0f308ca33aecab35219b2f25ef0053565bcbe9a9cfeeed01a865bc",
  {
    input: {
      image: "https://replicate.delivery/pbxt/MgROhjU1jIAHUyNtT3H3ldvVLluXIKRMQvzRdmvLm74mc2em/example_1.jpg",
      return_probabilities: true,
      use_rotation_averaging: true
    }
  }
);

console.log(output);

To learn more, take a look at the guide on getting started with Node.js.

pip install replicate

Import the client:

import replicate

Run grace-raper/resnet-rot using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "grace-raper/resnet-rot:349fc7e1ff0f308ca33aecab35219b2f25ef0053565bcbe9a9cfeeed01a865bc",
    input={
        "image": "https://replicate.delivery/pbxt/MgROhjU1jIAHUyNtT3H3ldvVLluXIKRMQvzRdmvLm74mc2em/example_1.jpg",
        "return_probabilities": True,
        "use_rotation_averaging": True
    }
)
print(output)

To learn more, take a look at the guide on getting started with Python.

Run grace-raper/resnet-rot 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": "grace-raper/resnet-rot:349fc7e1ff0f308ca33aecab35219b2f25ef0053565bcbe9a9cfeeed01a865bc",
    "input": {
      "image": "https://replicate.delivery/pbxt/MgROhjU1jIAHUyNtT3H3ldvVLluXIKRMQvzRdmvLm74mc2em/example_1.jpg",
      "return_probabilities": true,
      "use_rotation_averaging": true
    }
  }' \
  https://api.replicate.com/v1/predictions

To learn more, take a look at Replicate’s HTTP API reference docs.

Output

{ "best_angle": 90, "probabilities": { "0": 0.0006535034663102124, "90": 0.998546227812767, "180": 0.00024418315797447576, "270": 0.0005560978393504001 } }

Generated in

9.6 seconds

grace-raper/resnet-rot:349fc7e1ff0f308ca33aecab35219b2f25ef0053565bcbe9a9cfeeed01a865bc

Prediction

Model

ID

r31vsw794drma0cnnesa3aygvg

Status

Succeeded

Source

Web

Hardware

CPU

Total duration

7.7s

Created

3 months ago

Input

image
return_probabilities
use_rotation_averaging

{
  "image": "https://replicate.delivery/pbxt/MgRPDBRCPGD8ydgoJf280WSnwN72LI9GluihOB7aJ0X5woHN/example_3.tif",
  "return_probabilities": true,
  "use_rotation_averaging": true
}

npm install replicate

Import and set up the client:

import Replicate from "replicate";

const replicate = new Replicate({
  auth: process.env.REPLICATE_API_TOKEN,
});

Run grace-raper/resnet-rot using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "grace-raper/resnet-rot:349fc7e1ff0f308ca33aecab35219b2f25ef0053565bcbe9a9cfeeed01a865bc",
  {
    input: {
      image: "https://replicate.delivery/pbxt/MgRPDBRCPGD8ydgoJf280WSnwN72LI9GluihOB7aJ0X5woHN/example_3.tif",
      return_probabilities: true,
      use_rotation_averaging: true
    }
  }
);

console.log(output);

To learn more, take a look at the guide on getting started with Node.js.

pip install replicate

Import the client:

import replicate

Run grace-raper/resnet-rot using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "grace-raper/resnet-rot:349fc7e1ff0f308ca33aecab35219b2f25ef0053565bcbe9a9cfeeed01a865bc",
    input={
        "image": "https://replicate.delivery/pbxt/MgRPDBRCPGD8ydgoJf280WSnwN72LI9GluihOB7aJ0X5woHN/example_3.tif",
        "return_probabilities": True,
        "use_rotation_averaging": True
    }
)
print(output)

To learn more, take a look at the guide on getting started with Python.

Run grace-raper/resnet-rot 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": "grace-raper/resnet-rot:349fc7e1ff0f308ca33aecab35219b2f25ef0053565bcbe9a9cfeeed01a865bc",
    "input": {
      "image": "https://replicate.delivery/pbxt/MgRPDBRCPGD8ydgoJf280WSnwN72LI9GluihOB7aJ0X5woHN/example_3.tif",
      "return_probabilities": true,
      "use_rotation_averaging": true
    }
  }' \
  https://api.replicate.com/v1/predictions

To learn more, take a look at Replicate’s HTTP API reference docs.

Output

{ "best_angle": 270, "probabilities": { "0": 0.00008525241034362807, "90": 0.0001347377551610407, "180": 0.0020375955646159127, "270": 0.9977423995733261 } }

Generated in

7.7 seconds

grace-raper/resnet-rot:349fc7e1ff0f308ca33aecab35219b2f25ef0053565bcbe9a9cfeeed01a865bc

Prediction

Model

ID

ejpw4rr6nsrme0cnnet8yyheaw

Status

Succeeded

Source

Web

Hardware

CPU

Total duration

3.1s

Created

3 months ago

Input

image
return_probabilities
use_rotation_averaging

{
  "image": "https://replicate.delivery/pbxt/MgRQMM6Jd3M5C4p1Xgyrj9Eg9TjmbVdspQLjLs97Tbzehv24/example_4.jpg",
  "return_probabilities": false,
  "use_rotation_averaging": false
}

npm install replicate

Import and set up the client:

import Replicate from "replicate";

const replicate = new Replicate({
  auth: process.env.REPLICATE_API_TOKEN,
});

Run grace-raper/resnet-rot using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "grace-raper/resnet-rot:349fc7e1ff0f308ca33aecab35219b2f25ef0053565bcbe9a9cfeeed01a865bc",
  {
    input: {
      image: "https://replicate.delivery/pbxt/MgRQMM6Jd3M5C4p1Xgyrj9Eg9TjmbVdspQLjLs97Tbzehv24/example_4.jpg",
      return_probabilities: false,
      use_rotation_averaging: false
    }
  }
);

console.log(output);

To learn more, take a look at the guide on getting started with Node.js.

pip install replicate

Import the client:

import replicate

Run grace-raper/resnet-rot using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "grace-raper/resnet-rot:349fc7e1ff0f308ca33aecab35219b2f25ef0053565bcbe9a9cfeeed01a865bc",
    input={
        "image": "https://replicate.delivery/pbxt/MgRQMM6Jd3M5C4p1Xgyrj9Eg9TjmbVdspQLjLs97Tbzehv24/example_4.jpg",
        "return_probabilities": False,
        "use_rotation_averaging": False
    }
)
print(output)

To learn more, take a look at the guide on getting started with Python.

Run grace-raper/resnet-rot 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": "grace-raper/resnet-rot:349fc7e1ff0f308ca33aecab35219b2f25ef0053565bcbe9a9cfeeed01a865bc",
    "input": {
      "image": "https://replicate.delivery/pbxt/MgRQMM6Jd3M5C4p1Xgyrj9Eg9TjmbVdspQLjLs97Tbzehv24/example_4.jpg",
      "return_probabilities": false,
      "use_rotation_averaging": false
    }
  }' \
  https://api.replicate.com/v1/predictions

To learn more, take a look at Replicate’s HTTP API reference docs.

Output

{ "best_angle": 0 }

Generated in

3.1 seconds