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vegetebird /human-pose-estimation:8966a53c
Input
Run this model in Node.js with one line of code:
npx create-replicate --model=vegetebird/human-pose-estimation
or set up a project from scratch
Install Replicate’s Node.js client library:
npm install replicateSet the
REPLICATE_API_TOKEN environment variable:export REPLICATE_API_TOKEN=<paste-your-token-here>Find your API token in your account settings.
Import and set up the client:
import Replicate from "replicate";
const replicate = new Replicate({
auth: process.env.REPLICATE_API_TOKEN,
});Run vegetebird/human-pose-estimation using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run(
"vegetebird/human-pose-estimation:8966a53c2f165eb203c6b99b40f84bdf84be2d6621f7042be428dd530a8efa01",
{
input: {
input_path: "https://replicate.delivery/mgxm/19949a4b-6fa3-4a08-898f-15797cc777a0/dance_two.mp4"
}
}
);
console.log(output);To learn more, take a look at the guide on getting started with Node.js.
Install Replicate’s Python client library:
pip install replicateSet the
REPLICATE_API_TOKEN environment variable:export REPLICATE_API_TOKEN=<paste-your-token-here>Find your API token in your account settings.
Import the client:
import replicateRun vegetebird/human-pose-estimation using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run(
"vegetebird/human-pose-estimation:8966a53c2f165eb203c6b99b40f84bdf84be2d6621f7042be428dd530a8efa01",
input={
"input_path": "https://replicate.delivery/mgxm/19949a4b-6fa3-4a08-898f-15797cc777a0/dance_two.mp4"
}
)
print(output)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=<paste-your-token-here>Find your API token in your account settings.
Run vegetebird/human-pose-estimation 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": "vegetebird/human-pose-estimation:8966a53c2f165eb203c6b99b40f84bdf84be2d6621f7042be428dd530a8efa01",
"input": {
"input_path": "https://replicate.delivery/mgxm/19949a4b-6fa3-4a08-898f-15797cc777a0/dance_two.mp4"
}
}' \
https://api.replicate.com/v1/predictionsTo learn more, take a look at Replicate’s HTTP API reference docs.
Add a payment method to run this model.
Sign in with GitHub
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terms of service and privacy policy
Output
output_video
output_keypoints
keypoints.zip{
"completed_at": "2022-06-09T19:05:34.976958Z",
"created_at": "2022-06-09T19:02:24.201517Z",
"data_removed": false,
"error": null,
"id": "7pkuhbn2ezbhhfszzndod2g4ta",
"input": {
"input_path": "https://replicate.delivery/mgxm/19949a4b-6fa3-4a08-898f-15797cc777a0/dance_two.mp4"
},
"logs": "Output dir:\nVideo path /tmp/tmppx8rcaxgdance_two.mp4\n\nGenerating 2D pose...\n\n 0%| | 0/111 [00:00<?, ?it/s]\n 1%| | 1/111 [00:00<01:37, 1.13it/s]\n 2%|▏ | 2/111 [00:01<01:15, 1.44it/s]\n 3%|▎ | 3/111 [00:01<00:47, 2.25it/s]\n 4%|▎ | 4/111 [00:01<00:34, 3.11it/s]\n 5%|▍ | 5/111 [00:01<00:25, 4.10it/s]\n 5%|▌ | 6/111 [00:01<00:20, 5.02it/s]\n 6%|▋ | 7/111 [00:02<00:19, 5.37it/s]\n 7%|▋ | 8/111 [00:02<00:16, 6.10it/s]\n 8%|▊ | 9/111 [00:02<00:15, 6.64it/s]\n 9%|▉ | 10/111 [00:02<00:15, 6.62it/s]\n 10%|▉ | 11/111 [00:02<00:14, 7.04it/s]\n 11%|█ | 12/111 [00:02<00:13, 7.50it/s]\n 12%|█▏ | 13/111 [00:02<00:12, 7.81it/s]\n 13%|█▎ | 14/111 [00:03<00:13, 7.17it/s]\n 14%|█▎ | 15/111 [00:03<00:12, 7.61it/s]\n 14%|█▍ | 16/111 [00:03<00:12, 7.82it/s]\n 15%|█▌ | 17/111 [00:03<00:12, 7.31it/s]\n 16%|█▌ | 18/111 [00:03<00:12, 7.58it/s]\n 17%|█▋ | 19/111 [00:03<00:11, 7.77it/s]\n 18%|█▊ | 20/111 [00:03<00:12, 7.41it/s]\n 19%|█▉ | 21/111 [00:03<00:11, 7.61it/s]\n 20%|█▉ | 22/111 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8.49it/s]\n 99%|█████████▉| 110/111 [00:16<00:00, 7.72it/s]\n100%|██████████| 111/111 [00:16<00:00, 8.02it/s]\n100%|██████████| 111/111 [00:16<00:00, 6.89it/s]\nGenerating 2D pose successful!\nZipping keypoints files...\n\nGenerating 3D pose...\n\n 0%| | 0/111 [00:00<?, ?it/s]\n 1%| | 1/111 [00:00<00:43, 2.53it/s]\n 2%|▏ | 2/111 [00:00<00:40, 2.66it/s]\n 3%|▎ | 3/111 [00:01<00:40, 2.67it/s]\n 4%|▎ | 4/111 [00:01<00:39, 2.74it/s]\n 5%|▍ | 5/111 [00:01<00:38, 2.77it/s]\n 5%|▌ | 6/111 [00:02<00:38, 2.74it/s]\n 6%|▋ | 7/111 [00:02<00:37, 2.77it/s]\n 7%|▋ | 8/111 [00:03<00:40, 2.55it/s]\n 8%|▊ | 9/111 [00:03<00:38, 2.63it/s]\n 9%|▉ | 10/111 [00:03<00:38, 2.66it/s]\n 10%|▉ | 11/111 [00:04<00:37, 2.66it/s]\n 11%|█ | 12/111 [00:04<00:36, 2.69it/s]\n 12%|█▏ | 13/111 [00:04<00:36, 2.70it/s]\n 13%|█▎ | 14/111 [00:05<00:36, 2.69it/s]\n 14%|█▎ | 15/111 [00:05<00:36, 2.63it/s]\n 14%|█▍ | 16/111 [00:05<00:35, 2.66it/s]\n 15%|█▌ | 17/111 [00:06<00:34, 2.71it/s]\n 16%|█▌ | 18/111 [00:06<00:34, 2.73it/s]\n 17%|█▋ | 19/111 [00:07<00:33, 2.74it/s]\n 18%|█▊ | 20/111 [00:07<00:33, 2.74it/s]/root/.pyenv/versions/3.8.13/lib/python3.8/site-packages/matplotlib/pyplot.py:530: RuntimeWarning: More than 20 figures have been opened. Figures created through the pyplot interface (`matplotlib.pyplot.figure`) are retained until explicitly closed and may consume too much memory. (To control this warning, see the rcParam `figure.max_open_warning`).\n warnings.warn(\n\n 19%|█▉ | 21/111 [00:07<00:33, 2.70it/s]\n 20%|█▉ | 22/111 [00:08<00:32, 2.73it/s]\n 21%|██ | 23/111 [00:08<00:32, 2.74it/s]\n 22%|██▏ | 24/111 [00:08<00:31, 2.76it/s]\n 23%|██▎ | 25/111 [00:09<00:34, 2.48it/s]\n 23%|██▎ | 26/111 [00:09<00:33, 2.56it/s]\n 24%|██▍ | 27/111 [00:10<00:32, 2.60it/s]\n 25%|██▌ | 28/111 [00:10<00:31, 2.64it/s]\n 26%|██▌ | 29/111 [00:10<00:31, 2.64it/s]\n 27%|██▋ | 30/111 [00:11<00:30, 2.63it/s]\n 28%|██▊ | 31/111 [00:11<00:29, 2.67it/s]\n 29%|██▉ | 32/111 [00:11<00:29, 2.71it/s]\n 30%|██▉ | 33/111 [00:12<00:28, 2.73it/s]\n 31%|███ | 34/111 [00:12<00:28, 2.75it/s]\n 32%|███▏ | 35/111 [00:13<00:27, 2.74it/s]\n 32%|███▏ | 36/111 [00:13<00:27, 2.75it/s]\n 33%|███▎ | 37/111 [00:13<00:26, 2.76it/s]\n 34%|███▍ | 38/111 [00:14<00:26, 2.75it/s]\n 35%|███▌ | 39/111 [00:14<00:26, 2.75it/s]\n 36%|███▌ | 40/111 [00:14<00:26, 2.71it/s]\n 37%|███▋ | 41/111 [00:15<00:25, 2.72it/s]\n 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[00:39<00:02, 2.43it/s]\n 95%|█████████▌| 106/111 [00:39<00:01, 2.53it/s]\n 96%|█████████▋| 107/111 [00:40<00:01, 2.57it/s]\n 97%|█████████▋| 108/111 [00:40<00:01, 2.58it/s]\n 98%|█████████▊| 109/111 [00:40<00:00, 2.60it/s]\n 99%|█████████▉| 110/111 [00:41<00:00, 2.59it/s]\n100%|██████████| 111/111 [00:41<00:00, 2.62it/s]\n100%|██████████| 111/111 [00:41<00:00, 2.66it/s]\nGenerating 3D pose successful!\n\nGenerating demo...\n\n 0%| | 0/111 [00:00<?, ?it/s]\n 1%| | 1/111 [00:00<00:48, 2.26it/s]\n 2%|▏ | 2/111 [00:00<00:47, 2.29it/s]\n 3%|▎ | 3/111 [00:01<00:47, 2.29it/s]\n 4%|▎ | 4/111 [00:01<00:46, 2.30it/s]\n 5%|▍ | 5/111 [00:02<00:47, 2.25it/s]\n 5%|▌ | 6/111 [00:02<00:47, 2.21it/s]\n 6%|▋ | 7/111 [00:03<00:47, 2.17it/s]\n 7%|▋ | 8/111 [00:03<00:46, 2.21it/s]\n 8%|▊ | 9/111 [00:04<00:46, 2.20it/s]\n 9%|▉ | 10/111 [00:04<00:45, 2.21it/s]\n 10%|▉ | 11/111 [00:04<00:44, 2.23it/s]\n 11%|█ | 12/111 [00:05<00:44, 2.23it/s]\n 12%|█▏ | 13/111 [00:05<00:44, 2.22it/s]\n 13%|█▎ | 14/111 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2.07it/s]\n 92%|█████████▏| 102/111 [00:48<00:04, 2.08it/s]\n 93%|█████████▎| 103/111 [00:48<00:03, 2.09it/s]\n 94%|█████████▎| 104/111 [00:49<00:03, 2.03it/s]\n 95%|█████████▍| 105/111 [00:49<00:02, 2.06it/s]\n 95%|█████████▌| 106/111 [00:50<00:02, 2.07it/s]\n 96%|█████████▋| 107/111 [00:50<00:01, 2.08it/s]\n 97%|█████████▋| 108/111 [00:51<00:01, 2.09it/s]\n 98%|█████████▊| 109/111 [00:51<00:00, 2.09it/s]\n 99%|█████████▉| 110/111 [00:52<00:00, 2.08it/s]\n100%|██████████| 111/111 [00:52<00:00, 2.08it/s]\n100%|██████████| 111/111 [00:52<00:00, 2.10it/s]\nMoviepy - Building video /tmp/tmpbur64jt3/output.mp4.\nMoviepy - Writing video /tmp/tmpbur64jt3/output.mp4\n\n\nt: 0%| | 0/111 [00:00<?, ?it/s, now=None]\nt: 10%|▉ | 11/111 [00:00<00:00, 102.40it/s, now=None]\nt: 20%|█▉ | 22/111 [00:00<00:00, 98.13it/s, now=None]\nt: 29%|██▉ | 32/111 [00:00<00:00, 97.49it/s, now=None]\nt: 38%|███▊ | 42/111 [00:00<00:00, 90.33it/s, now=None]\nt: 47%|████▋ | 52/111 [00:00<00:00, 68.54it/s, now=None]\nt: 54%|█████▍ | 60/111 [00:00<00:00, 55.41it/s, now=None]\nt: 60%|██████ | 67/111 [00:01<00:00, 51.50it/s, now=None]\nt: 66%|██████▌ | 73/111 [00:01<00:00, 51.65it/s, now=None]\nt: 71%|███████ | 79/111 [00:01<00:00, 52.02it/s, now=None]\nt: 77%|███████▋ | 85/111 [00:01<00:00, 50.61it/s, now=None]\nt: 82%|████████▏ | 91/111 [00:01<00:00, 47.25it/s, now=None]\nt: 86%|████████▋ | 96/111 [00:01<00:00, 47.72it/s, now=None]\nt: 93%|█████████▎| 103/111 [00:01<00:00, 52.27it/s, now=None]\nt: 98%|█████████▊| 109/111 [00:01<00:00, 52.58it/s, now=None]\nMoviepy - Done !\nMoviepy - video ready /tmp/tmpbur64jt3/output.mp4\nsaving to /tmp/tmpbur64jt3/output.mp4\n\nGenerating demo successful!",
"metrics": {
"predict_time": 124.028195,
"total_time": 190.775441
},
"output": {
"output_video": "https://replicate.delivery/mgxm/2cea9d21-b8a3-42c4-859d-0db1ef51c3e6/output.mp4",
"output_keypoints": "https://replicate.delivery/mgxm/b3308c7c-11e2-41cb-8989-26cc64992d07/keypoints.zip"
},
"started_at": "2022-06-09T19:03:30.948763Z",
"status": "succeeded",
"urls": {
"get": "https://api.replicate.com/v1/predictions/7pkuhbn2ezbhhfszzndod2g4ta",
"cancel": "https://api.replicate.com/v1/predictions/7pkuhbn2ezbhhfszzndod2g4ta/cancel"
},
"version": "8966a53c2f165eb203c6b99b40f84bdf84be2d6621f7042be428dd530a8efa01"
}Generated in
Output dir:
Video path /tmp/tmppx8rcaxgdance_two.mp4
Generating 2D pose...
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Generating 2D pose successful!
Zipping keypoints files...
Generating 3D pose...
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warnings.warn(
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Generating 3D pose successful!
Generating demo...
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Moviepy - Building video /tmp/tmpbur64jt3/output.mp4.
Moviepy - Writing video /tmp/tmpbur64jt3/output.mp4
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Moviepy - Done !
Moviepy - video ready /tmp/tmpbur64jt3/output.mp4
saving to /tmp/tmpbur64jt3/output.mp4
Generating demo successful!