Prediction

Model

lee101/fast-vfx:bc40ad94

g5nfkckg0nrgy0ck2h4ac52m24

Status

Succeeded

Source

Web

Hardware

Total duration

4m 26s

Created

about 1 year ago

Webhook

–

Input

video: https://replicate.delivery/pbxt/LwiMx5pzYfD7KMQ7QTY2vKNZRAXdMMrowLWTchwFquCVpg7E/cant-keep-getting-away.mp4
num_levels: 25
output_codec: h264_nvenc

{
  "num_levels": 25,
  "output_codec": "h264_nvenc",
  "video": "https://replicate.delivery/pbxt/LwiMx5pzYfD7KMQ7QTY2vKNZRAXdMMrowLWTchwFquCVpg7E/cant-keep-getting-away.mp4"
}

Install Replicate’s Node.js client library:

npm install replicate

Set the REPLICATE_API_TOKEN environment variable:

export REPLICATE_API_TOKEN=r8_bih**********************************

This is your API token. Keep it to yourself.

Import and set up the client:

import Replicate from "replicate";
import fs from "node:fs";

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

Run lee101/fast-vfx using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "lee101/fast-vfx:bc40ad9478d509f254f95a53a0ff6092b2714764f44e55a890ae888f3842e68f",
  {
    input: {
      num_levels: 25,
      output_codec: "h264_nvenc",
      video: "https://replicate.delivery/pbxt/LwiMx5pzYfD7KMQ7QTY2vKNZRAXdMMrowLWTchwFquCVpg7E/cant-keep-getting-away.mp4"
    }
  }
);

// To access the file URL:
console.log(output.url()); //=> "http://example.com"

// To write the file to disk:
fs.writeFile("my-image.png", output);

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

Install Replicate’s Python client library:

pip install replicate

Set the REPLICATE_API_TOKEN environment variable:

export REPLICATE_API_TOKEN=r8_bih**********************************

This is your API token. Keep it to yourself.

Import the client:

import replicate

Run lee101/fast-vfx using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "lee101/fast-vfx:bc40ad9478d509f254f95a53a0ff6092b2714764f44e55a890ae888f3842e68f",
    input={
        "num_levels": 25,
        "output_codec": "h264_nvenc",
        "video": "https://replicate.delivery/pbxt/LwiMx5pzYfD7KMQ7QTY2vKNZRAXdMMrowLWTchwFquCVpg7E/cant-keep-getting-away.mp4"
    }
)

# To access the file URL:
print(output.url())
#=> "http://example.com"

# To write the file to disk:
with open("my-image.png", "wb") as file:
    file.write(output.read())

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

Set the REPLICATE_API_TOKEN environment variable:

export REPLICATE_API_TOKEN=r8_bih**********************************

This is your API token. Keep it to yourself.

Run lee101/fast-vfx 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": "lee101/fast-vfx:bc40ad9478d509f254f95a53a0ff6092b2714764f44e55a890ae888f3842e68f",
    "input": {
      "num_levels": 25,
      "output_codec": "h264_nvenc",
      "video": "https://replicate.delivery/pbxt/LwiMx5pzYfD7KMQ7QTY2vKNZRAXdMMrowLWTchwFquCVpg7E/cant-keep-getting-away.mp4"
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

{
  "id": "g5nfkckg0nrgy0ck2h4ac52m24",
  "model": "lee101/fast-vfx",
  "version": "bc40ad9478d509f254f95a53a0ff6092b2714764f44e55a890ae888f3842e68f",
  "input": {
    "num_levels": 25,
    "output_codec": "h264_nvenc",
    "video": "https://replicate.delivery/pbxt/LwiMx5pzYfD7KMQ7QTY2vKNZRAXdMMrowLWTchwFquCVpg7E/cant-keep-getting-away.mp4"
  },
  "logs": "[W1110 04:19:33.962606569 conversion.cpp:411] Warning: The output format NV12 is selected. This will be implicitly converted to YUV444P, in which all the color components Y, U, V have the same dimension. 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888])\ncuda:0\ntorch.float32\ntorch.Size([1, 3, 498, 888])\ntorch.Size([1, 3, 498, 888])\ncuda:0\ntorch.float32\ntorch.Size([1, 3, 498, 888])\ntorch.Size([1, 3, 498, 888])\ncuda:0\ntorch.float32\ntorch.Size([1, 3, 498, 888])\ntorch.Size([1, 3, 498, 888])\ncuda:0\ntorch.float32\ntorch.Size([1, 3, 498, 888])\ntorch.Size([1, 3, 498, 888])\ncuda:0\ntorch.float32\ntorch.Size([1, 3, 498, 888])\ntorch.Size([1, 3, 498, 888])\ncuda:0\ntorch.float32\ntorch.Size([1, 3, 498, 888])\ntorch.Size([1, 3, 498, 888])\ncuda:0\ntorch.float32\ntorch.Size([1, 3, 498, 888])\ntorch.Size([1, 3, 498, 888])\ncuda:0\ntorch.float32\ntorch.Size([1, 3, 498, 888])\ntorch.Size([1, 3, 498, 888])\ncuda:0\ntorch.float32\ntorch.Size([1, 3, 498, 888])\ntorch.Size([1, 3, 498, 888])\ncuda:0\ntorch.float32\ntorch.Size([1, 3, 498, 888])\ntorch.Size([1, 3, 498, 888])\ncuda:0\ntorch.float32\ntorch.Size([1, 3, 498, 888])\ntorch.Size([1, 3, 498, 888])\ncuda:0\ntorch.float32\ntorch.Size([1, 3, 498, 888])\ntorch.Size([1, 3, 498, 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888])\ncuda:0\ntorch.float32\ntorch.Size([1, 3, 498, 888])\ntorch.Size([1, 3, 498, 888])\ncuda:0\ntorch.float32\ntorch.Size([1, 3, 498, 888])\ntorch.Size([1, 3, 498, 888])\ncuda:0\ntorch.float32\ntorch.Size([1, 3, 498, 888])\ntorch.Size([1, 3, 498, 888])\ncuda:0\ntorch.float32\ntorch.Size([1, 3, 498, 888])\ntorch.Size([1, 3, 498, 888])\ncuda:0\ntorch.float32\n[W1110 04:19:37.684450582 chunked_buffer.cpp:98] Warning: The number of buffered frames exceeded the buffer size. Dropping the old frames. To avoid this, you can set a higher buffer_chunk_size value. (function operator())\ntorch.Size([1, 3, 498, 888])\ntorch.Size([1, 3, 498, 888])\ncuda:0\ntorch.float32\ntorch.Size([1, 3, 498, 888])\ntorch.Size([1, 3, 498, 888])\ncuda:0\ntorch.float32\ntorch.Size([1, 3, 498, 888])\ntorch.Size([1, 3, 498, 888])\ncuda:0\ntorch.float32",
  "output": "https://replicate.delivery/xezq/IBNugfsCMb0LIyLD9DwGB2foPkMu6fQG7xV402blfE9rl59OB/tmpx5077nxg.mp4",
  "data_removed": false,
  "error": null,
  "source": "web",
  "status": "succeeded",
  "created_at": "2024-11-10T04:15:11.877Z",
  "started_at": "2024-11-10T04:19:33.036863Z",
  "completed_at": "2024-11-10T04:19:38.145388Z",
  "urls": {
    "cancel": "https://api.replicate.com/v1/predictions/g5nfkckg0nrgy0ck2h4ac52m24/cancel",
    "get": "https://api.replicate.com/v1/predictions/g5nfkckg0nrgy0ck2h4ac52m24",
    "stream": "https://stream.replicate.com/v1/files/sqpt-ezofpzqforpfetkb35q3ibkqtypbweskfrx4wephgrwwqzgndtha",
    "web": "https://replicate.com/p/g5nfkckg0nrgy0ck2h4ac52m24"
  },
  "metrics": {
    "predict_time": 5.108525454,
    "total_time": 266.268388
  }
}

Generated in

5.1 seconds

Tweak it Report

[W1110 04:19:33.962606569 conversion.cpp:411] Warning: The output format NV12 is selected. This will be implicitly converted to YUV444P, in which all the color components Y, U, V have the same dimension. (function operator()) torch.Size([1, 3, 498, 888]) torch.Size([1, 3, 498, 888]) cuda:0 torch.float32 torch.Size([1, 3, 498, 888]) torch.Size([1, 3, 498, 888]) cuda:0 torch.float32 torch.Size([1, 3, 498, 888]) torch.Size([1, 3, 498, 888]) cuda:0 torch.float32 torch.Size([1, 3, 498, 888]) torch.Size([1, 3, 498, 888]) cuda:0 torch.float32 torch.Size([1, 3, 498, 888]) torch.Size([1, 3, 498, 888]) cuda:0 torch.float32 torch.Size([1, 3, 498, 888]) torch.Size([1, 3, 498, 888]) cuda:0 torch.float32 torch.Size([1, 3, 498, 888]) torch.Size([1, 3, 498, 888]) cuda:0 torch.float32 torch.Size([1, 3, 498, 888]) torch.Size([1, 3, 498, 888]) cuda:0 torch.float32 torch.Size([1, 3, 498, 888]) torch.Size([1, 3, 498, 888]) cuda:0 torch.float32 torch.Size([1, 3, 498, 888]) torch.Size([1, 3, 498, 888]) cuda:0 torch.float32 torch.Size([1, 3, 498, 888]) torch.Size([1, 3, 498, 888]) cuda:0 torch.float32 torch.Size([1, 3, 498, 888]) torch.Size([1, 3, 498, 888]) cuda:0 torch.float32 torch.Size([1, 3, 498, 888]) torch.Size([1, 3, 498, 888]) cuda:0 torch.float32 torch.Size([1, 3, 498, 888]) torch.Size([1, 3, 498, 888]) cuda:0 torch.float32 torch.Size([1, 3, 498, 888]) torch.Size([1, 3, 498, 888]) cuda:0 torch.float32 torch.Size([1, 3, 498, 888]) torch.Size([1, 3, 498, 888]) cuda:0 torch.float32 torch.Size([1, 3, 498, 888]) torch.Size([1, 3, 498, 888]) cuda:0 torch.float32 torch.Size([1, 3, 498, 888]) torch.Size([1, 3, 498, 888]) cuda:0 torch.float32 torch.Size([1, 3, 498, 888]) torch.Size([1, 3, 498, 888]) cuda:0 torch.float32 torch.Size([1, 3, 498, 888]) torch.Size([1, 3, 498, 888]) cuda:0 torch.float32 torch.Size([1, 3, 498, 888]) torch.Size([1, 3, 498, 888]) cuda:0 torch.float32 torch.Size([1, 3, 498, 888]) torch.Size([1, 3, 498, 888]) cuda:0 torch.float32 torch.Size([1, 3, 498, 888]) torch.Size([1, 3, 498, 888]) cuda:0 torch.float32 torch.Size([1, 3, 498, 888]) torch.Size([1, 3, 498, 888]) cuda:0 torch.float32 torch.Size([1, 3, 498, 888]) torch.Size([1, 3, 498, 888]) cuda:0 torch.float32 torch.Size([1, 3, 498, 888]) torch.Size([1, 3, 498, 888]) cuda:0 torch.float32 torch.Size([1, 3, 498, 888]) torch.Size([1, 3, 498, 888]) cuda:0 torch.float32 torch.Size([1, 3, 498, 888]) torch.Size([1, 3, 498, 888]) cuda:0 torch.float32 torch.Size([1, 3, 498, 888]) torch.Size([1, 3, 498, 888]) cuda:0 torch.float32 torch.Size([1, 3, 498, 888]) torch.Size([1, 3, 498, 888]) cuda:0 torch.float32 torch.Size([1, 3, 498, 888]) torch.Size([1, 3, 498, 888]) cuda:0 torch.float32 torch.Size([1, 3, 498, 888]) torch.Size([1, 3, 498, 888]) cuda:0 torch.float32 torch.Size([1, 3, 498, 888]) torch.Size([1, 3, 498, 888]) cuda:0 torch.float32 torch.Size([1, 3, 498, 888]) torch.Size([1, 3, 498, 888]) cuda:0 torch.float32 torch.Size([1, 3, 498, 888]) torch.Size([1, 3, 498, 888]) cuda:0 torch.float32 torch.Size([1, 3, 498, 888]) torch.Size([1, 3, 498, 888]) cuda:0 torch.float32 torch.Size([1, 3, 498, 888]) torch.Size([1, 3, 498, 888]) cuda:0 torch.float32 torch.Size([1, 3, 498, 888]) torch.Size([1, 3, 498, 888]) cuda:0 torch.float32 torch.Size([1, 3, 498, 888]) torch.Size([1, 3, 498, 888]) cuda:0 torch.float32 torch.Size([1, 3, 498, 888]) torch.Size([1, 3, 498, 888]) cuda:0 torch.float32 torch.Size([1, 3, 498, 888]) torch.Size([1, 3, 498, 888]) cuda:0 torch.float32 torch.Size([1, 3, 498, 888]) torch.Size([1, 3, 498, 888]) cuda:0 torch.float32 torch.Size([1, 3, 498, 888]) torch.Size([1, 3, 498, 888]) cuda:0 torch.float32 torch.Size([1, 3, 498, 888]) torch.Size([1, 3, 498, 888]) cuda:0 torch.float32 torch.Size([1, 3, 498, 888]) torch.Size([1, 3, 498, 888]) cuda:0 torch.float32 torch.Size([1, 3, 498, 888]) torch.Size([1, 3, 498, 888]) cuda:0 torch.float32 torch.Size([1, 3, 498, 888]) torch.Size([1, 3, 498, 888]) cuda:0 torch.float32 torch.Size([1, 3, 498, 888]) torch.Size([1, 3, 498, 888]) cuda:0 torch.float32 torch.Size([1, 3, 498, 888]) torch.Size([1, 3, 498, 888]) cuda:0 torch.float32 torch.Size([1, 3, 498, 888]) torch.Size([1, 3, 498, 888]) cuda:0 torch.float32 torch.Size([1, 3, 498, 888]) torch.Size([1, 3, 498, 888]) cuda:0 torch.float32 torch.Size([1, 3, 498, 888]) torch.Size([1, 3, 498, 888]) cuda:0 torch.float32 torch.Size([1, 3, 498, 888]) torch.Size([1, 3, 498, 888]) cuda:0 torch.float32 torch.Size([1, 3, 498, 888]) torch.Size([1, 3, 498, 888]) cuda:0 torch.float32 torch.Size([1, 3, 498, 888]) torch.Size([1, 3, 498, 888]) cuda:0 torch.float32 torch.Size([1, 3, 498, 888]) torch.Size([1, 3, 498, 888]) cuda:0 torch.float32 torch.Size([1, 3, 498, 888]) torch.Size([1, 3, 498, 888]) cuda:0 torch.float32 torch.Size([1, 3, 498, 888]) torch.Size([1, 3, 498, 888]) cuda:0 torch.float32 torch.Size([1, 3, 498, 888]) torch.Size([1, 3, 498, 888]) cuda:0 torch.float32 torch.Size([1, 3, 498, 888]) torch.Size([1, 3, 498, 888]) cuda:0 torch.float32 torch.Size([1, 3, 498, 888]) torch.Size([1, 3, 498, 888]) cuda:0 torch.float32 torch.Size([1, 3, 498, 888]) torch.Size([1, 3, 498, 888]) cuda:0 torch.float32 torch.Size([1, 3, 498, 888]) torch.Size([1, 3, 498, 888]) cuda:0 torch.float32 torch.Size([1, 3, 498, 888]) torch.Size([1, 3, 498, 888]) cuda:0 torch.float32 torch.Size([1, 3, 498, 888]) torch.Size([1, 3, 498, 888]) cuda:0 torch.float32 torch.Size([1, 3, 498, 888]) torch.Size([1, 3, 498, 888]) cuda:0 torch.float32 torch.Size([1, 3, 498, 888]) torch.Size([1, 3, 498, 888]) cuda:0 torch.float32 torch.Size([1, 3, 498, 888]) torch.Size([1, 3, 498, 888]) cuda:0 torch.float32 torch.Size([1, 3, 498, 888]) torch.Size([1, 3, 498, 888]) cuda:0 torch.float32 torch.Size([1, 3, 498, 888]) torch.Size([1, 3, 498, 888]) cuda:0 torch.float32 torch.Size([1, 3, 498, 888]) torch.Size([1, 3, 498, 888]) cuda:0 torch.float32 torch.Size([1, 3, 498, 888]) torch.Size([1, 3, 498, 888]) cuda:0 torch.float32 torch.Size([1, 3, 498, 888]) torch.Size([1, 3, 498, 888]) cuda:0 torch.float32 torch.Size([1, 3, 498, 888]) torch.Size([1, 3, 498, 888]) cuda:0 torch.float32 torch.Size([1, 3, 498, 888]) torch.Size([1, 3, 498, 888]) cuda:0 torch.float32 torch.Size([1, 3, 498, 888]) torch.Size([1, 3, 498, 888]) cuda:0 torch.float32 torch.Size([1, 3, 498, 888]) torch.Size([1, 3, 498, 888]) cuda:0 torch.float32 torch.Size([1, 3, 498, 888]) torch.Size([1, 3, 498, 888]) cuda:0 torch.float32 torch.Size([1, 3, 498, 888]) torch.Size([1, 3, 498, 888]) cuda:0 torch.float32 torch.Size([1, 3, 498, 888]) torch.Size([1, 3, 498, 888]) cuda:0 torch.float32 torch.Size([1, 3, 498, 888]) torch.Size([1, 3, 498, 888]) cuda:0 torch.float32 torch.Size([1, 3, 498, 888]) torch.Size([1, 3, 498, 888]) cuda:0 torch.float32 torch.Size([1, 3, 498, 888]) torch.Size([1, 3, 498, 888]) cuda:0 torch.float32 torch.Size([1, 3, 498, 888]) torch.Size([1, 3, 498, 888]) cuda:0 torch.float32 torch.Size([1, 3, 498, 888]) torch.Size([1, 3, 498, 888]) cuda:0 torch.float32 torch.Size([1, 3, 498, 888]) torch.Size([1, 3, 498, 888]) cuda:0 torch.float32 torch.Size([1, 3, 498, 888]) torch.Size([1, 3, 498, 888]) cuda:0 torch.float32 torch.Size([1, 3, 498, 888]) torch.Size([1, 3, 498, 888]) cuda:0 torch.float32 torch.Size([1, 3, 498, 888]) torch.Size([1, 3, 498, 888]) cuda:0 torch.float32 torch.Size([1, 3, 498, 888]) torch.Size([1, 3, 498, 888]) cuda:0 torch.float32 torch.Size([1, 3, 498, 888]) torch.Size([1, 3, 498, 888]) cuda:0 torch.float32 torch.Size([1, 3, 498, 888]) torch.Size([1, 3, 498, 888]) cuda:0 torch.float32 torch.Size([1, 3, 498, 888]) torch.Size([1, 3, 498, 888]) cuda:0 torch.float32 torch.Size([1, 3, 498, 888]) torch.Size([1, 3, 498, 888]) cuda:0 torch.float32 torch.Size([1, 3, 498, 888]) torch.Size([1, 3, 498, 888]) cuda:0 torch.float32 torch.Size([1, 3, 498, 888]) torch.Size([1, 3, 498, 888]) cuda:0 torch.float32 torch.Size([1, 3, 498, 888]) torch.Size([1, 3, 498, 888]) cuda:0 torch.float32 torch.Size([1, 3, 498, 888]) torch.Size([1, 3, 498, 888]) cuda:0 torch.float32 torch.Size([1, 3, 498, 888]) torch.Size([1, 3, 498, 888]) cuda:0 torch.float32 torch.Size([1, 3, 498, 888]) torch.Size([1, 3, 498, 888]) cuda:0 torch.float32 torch.Size([1, 3, 498, 888]) torch.Size([1, 3, 498, 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888]) torch.Size([1, 3, 498, 888]) cuda:0 torch.float32 torch.Size([1, 3, 498, 888]) torch.Size([1, 3, 498, 888]) cuda:0 torch.float32 torch.Size([1, 3, 498, 888]) torch.Size([1, 3, 498, 888]) cuda:0 torch.float32 torch.Size([1, 3, 498, 888]) torch.Size([1, 3, 498, 888]) cuda:0 torch.float32 torch.Size([1, 3, 498, 888]) torch.Size([1, 3, 498, 888]) cuda:0 torch.float32 torch.Size([1, 3, 498, 888]) torch.Size([1, 3, 498, 888]) cuda:0 torch.float32 torch.Size([1, 3, 498, 888]) torch.Size([1, 3, 498, 888]) cuda:0 torch.float32 torch.Size([1, 3, 498, 888]) torch.Size([1, 3, 498, 888]) cuda:0 torch.float32 torch.Size([1, 3, 498, 888]) torch.Size([1, 3, 498, 888]) cuda:0 torch.float32 torch.Size([1, 3, 498, 888]) torch.Size([1, 3, 498, 888]) cuda:0 torch.float32 torch.Size([1, 3, 498, 888]) torch.Size([1, 3, 498, 888]) cuda:0 torch.float32 torch.Size([1, 3, 498, 888]) torch.Size([1, 3, 498, 888]) cuda:0 torch.float32 torch.Size([1, 3, 498, 888]) torch.Size([1, 3, 498, 888]) cuda:0 torch.float32 torch.Size([1, 3, 498, 888]) torch.Size([1, 3, 498, 888]) cuda:0 torch.float32 torch.Size([1, 3, 498, 888]) torch.Size([1, 3, 498, 888]) cuda:0 torch.float32 torch.Size([1, 3, 498, 888]) torch.Size([1, 3, 498, 888]) cuda:0 torch.float32 torch.Size([1, 3, 498, 888]) torch.Size([1, 3, 498, 888]) cuda:0 torch.float32 torch.Size([1, 3, 498, 888]) torch.Size([1, 3, 498, 888]) cuda:0 torch.float32 torch.Size([1, 3, 498, 888]) torch.Size([1, 3, 498, 888]) cuda:0 torch.float32 torch.Size([1, 3, 498, 888]) torch.Size([1, 3, 498, 888]) cuda:0 torch.float32 torch.Size([1, 3, 498, 888]) torch.Size([1, 3, 498, 888]) cuda:0 torch.float32 torch.Size([1, 3, 498, 888]) torch.Size([1, 3, 498, 888]) cuda:0 torch.float32 torch.Size([1, 3, 498, 888]) torch.Size([1, 3, 498, 888]) cuda:0 torch.float32 torch.Size([1, 3, 498, 888]) torch.Size([1, 3, 498, 888]) cuda:0 torch.float32 torch.Size([1, 3, 498, 888]) torch.Size([1, 3, 498, 888]) cuda:0 torch.float32 torch.Size([1, 3, 498, 888]) torch.Size([1, 3, 498, 888]) cuda:0 torch.float32 torch.Size([1, 3, 498, 888]) torch.Size([1, 3, 498, 888]) cuda:0 torch.float32 torch.Size([1, 3, 498, 888]) torch.Size([1, 3, 498, 888]) cuda:0 torch.float32 torch.Size([1, 3, 498, 888]) torch.Size([1, 3, 498, 888]) cuda:0 torch.float32 torch.Size([1, 3, 498, 888]) torch.Size([1, 3, 498, 888]) cuda:0 torch.float32 torch.Size([1, 3, 498, 888]) torch.Size([1, 3, 498, 888]) cuda:0 torch.float32 torch.Size([1, 3, 498, 888]) torch.Size([1, 3, 498, 888]) cuda:0 torch.float32 torch.Size([1, 3, 498, 888]) torch.Size([1, 3, 498, 888]) cuda:0 torch.float32 torch.Size([1, 3, 498, 888]) torch.Size([1, 3, 498, 888]) cuda:0 torch.float32 torch.Size([1, 3, 498, 888]) torch.Size([1, 3, 498, 888]) cuda:0 torch.float32 torch.Size([1, 3, 498, 888]) torch.Size([1, 3, 498, 888]) cuda:0 torch.float32 torch.Size([1, 3, 498, 888]) torch.Size([1, 3, 498, 888]) cuda:0 torch.float32 torch.Size([1, 3, 498, 888]) torch.Size([1, 3, 498, 888]) cuda:0 torch.float32 torch.Size([1, 3, 498, 888]) torch.Size([1, 3, 498, 888]) cuda:0 torch.float32 torch.Size([1, 3, 498, 888]) torch.Size([1, 3, 498, 888]) cuda:0 torch.float32 torch.Size([1, 3, 498, 888]) torch.Size([1, 3, 498, 888]) cuda:0 torch.float32 torch.Size([1, 3, 498, 888]) torch.Size([1, 3, 498, 888]) cuda:0 torch.float32 torch.Size([1, 3, 498, 888]) torch.Size([1, 3, 498, 888]) cuda:0 torch.float32 torch.Size([1, 3, 498, 888]) torch.Size([1, 3, 498, 888]) cuda:0 torch.float32 torch.Size([1, 3, 498, 888]) torch.Size([1, 3, 498, 888]) cuda:0 torch.float32 torch.Size([1, 3, 498, 888]) torch.Size([1, 3, 498, 888]) cuda:0 torch.float32 torch.Size([1, 3, 498, 888]) torch.Size([1, 3, 498, 888]) cuda:0 torch.float32 torch.Size([1, 3, 498, 888]) torch.Size([1, 3, 498, 888]) cuda:0 torch.float32 torch.Size([1, 3, 498, 888]) torch.Size([1, 3, 498, 888]) cuda:0 torch.float32 torch.Size([1, 3, 498, 888]) torch.Size([1, 3, 498, 888]) cuda:0 torch.float32 torch.Size([1, 3, 498, 888]) torch.Size([1, 3, 498, 888]) cuda:0 torch.float32 torch.Size([1, 3, 498, 888]) torch.Size([1, 3, 498, 888]) cuda:0 torch.float32 torch.Size([1, 3, 498, 888]) torch.Size([1, 3, 498, 888]) cuda:0 torch.float32 torch.Size([1, 3, 498, 888]) torch.Size([1, 3, 498, 888]) cuda:0 torch.float32 torch.Size([1, 3, 498, 888]) torch.Size([1, 3, 498, 888]) cuda:0 torch.float32 torch.Size([1, 3, 498, 888]) torch.Size([1, 3, 498, 888]) cuda:0 torch.float32 torch.Size([1, 3, 498, 888]) torch.Size([1, 3, 498, 888]) cuda:0 torch.float32 torch.Size([1, 3, 498, 888]) torch.Size([1, 3, 498, 888]) cuda:0 torch.float32 torch.Size([1, 3, 498, 888]) torch.Size([1, 3, 498, 888]) cuda:0 torch.float32 torch.Size([1, 3, 498, 888]) torch.Size([1, 3, 498, 888]) cuda:0 torch.float32 torch.Size([1, 3, 498, 888]) torch.Size([1, 3, 498, 888]) cuda:0 torch.float32 torch.Size([1, 3, 498, 888]) torch.Size([1, 3, 498, 888]) cuda:0 torch.float32 torch.Size([1, 3, 498, 888]) torch.Size([1, 3, 498, 888]) cuda:0 torch.float32 torch.Size([1, 3, 498, 888]) torch.Size([1, 3, 498, 888]) cuda:0 torch.float32 torch.Size([1, 3, 498, 888]) torch.Size([1, 3, 498, 888]) cuda:0 torch.float32 torch.Size([1, 3, 498, 888]) torch.Size([1, 3, 498, 888]) cuda:0 torch.float32 torch.Size([1, 3, 498, 888]) torch.Size([1, 3, 498, 888]) cuda:0 torch.float32 torch.Size([1, 3, 498, 888]) torch.Size([1, 3, 498, 888]) cuda:0 torch.float32 torch.Size([1, 3, 498, 888]) torch.Size([1, 3, 498, 888]) cuda:0 torch.float32 torch.Size([1, 3, 498, 888]) torch.Size([1, 3, 498, 888]) cuda:0 torch.float32 torch.Size([1, 3, 498, 888]) torch.Size([1, 3, 498, 888]) cuda:0 torch.float32 [W1110 04:19:37.684450582 chunked_buffer.cpp:98] Warning: The number of buffered frames exceeded the buffer size. Dropping the old frames. To avoid this, you can set a higher buffer_chunk_size value. (function operator()) torch.Size([1, 3, 498, 888]) torch.Size([1, 3, 498, 888]) cuda:0 torch.float32 torch.Size([1, 3, 498, 888]) torch.Size([1, 3, 498, 888]) cuda:0 torch.float32 torch.Size([1, 3, 498, 888]) torch.Size([1, 3, 498, 888]) cuda:0 torch.float32