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vegetebird / human-pose-estimation
MHFormer: Multi-Hypothesis Transformer for 3D Human Pose Estimation
Prediction
vegetebird/human-pose-estimation:b80320fb7903d0d159ad82f81e3fe81cb27637d799d6683ec15c4aecd513f7afInput
- input_path
{ "input_path": "https://replicate.delivery/mgxm/bfa6f317-4beb-4fdd-9674-6c9c3e449545/dance.mp4" }Install Replicate’s Node.js client library:npm install replicateImport 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:b80320fb7903d0d159ad82f81e3fe81cb27637d799d6683ec15c4aecd513f7af", { input: { input_path: "https://replicate.delivery/mgxm/bfa6f317-4beb-4fdd-9674-6c9c3e449545/dance.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 replicateImport 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:b80320fb7903d0d159ad82f81e3fe81cb27637d799d6683ec15c4aecd513f7af", input={ "input_path": "https://replicate.delivery/mgxm/bfa6f317-4beb-4fdd-9674-6c9c3e449545/dance.mp4" } ) print(output)To learn more, take a look at the guide on getting started with Python.
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:b80320fb7903d0d159ad82f81e3fe81cb27637d799d6683ec15c4aecd513f7af", "input": { "input_path": "https://replicate.delivery/mgxm/bfa6f317-4beb-4fdd-9674-6c9c3e449545/dance.mp4" } }' \ https://api.replicate.com/v1/predictionsTo learn more, take a look at Replicate’s HTTP API reference docs.
Output
output_video
output_keypoints
keypoints.zip{ "completed_at": "2022-06-09T18:20:24.982886Z", "created_at": "2022-06-09T18:17:36.199974Z", "data_removed": false, "error": null, "id": "bh5xmmyvvradteyexpp677xs4u", "input": { "input_path": "https://replicate.delivery/mgxm/bfa6f317-4beb-4fdd-9674-6c9c3e449545/dance.mp4" }, "logs": "Output dir:\nVideo path /tmp/tmp7qvv8f4cdance.mp4\n\nGenerating 2D pose...\n\n 0%| | 0/95 [00:00<?, ?it/s]\n 1%| | 1/95 [00:00<01:21, 1.16it/s]\n 2%|▏ | 2/95 [00:01<01:06, 1.40it/s]\n 4%|▍ | 4/95 [00:01<00:29, 3.06it/s]\n 5%|▌ | 5/95 [00:01<00:25, 3.59it/s]\n 6%|▋ | 6/95 [00:01<00:20, 4.28it/s]\n 7%|▋ | 7/95 [00:02<00:17, 5.14it/s]\n 8%|▊ | 8/95 [00:02<00:14, 5.99it/s]\n 9%|▉ | 9/95 [00:02<00:13, 6.15it/s]\n 11%|█ | 10/95 [00:02<00:13, 6.40it/s]\n 12%|█▏ | 11/95 [00:02<00:11, 7.15it/s]\n 13%|█▎ | 12/95 [00:02<00:12, 6.77it/s]\n 14%|█▎ | 13/95 [00:02<00:11, 7.05it/s]\n 15%|█▍ | 14/95 [00:02<00:10, 7.45it/s]\n 16%|█▌ | 15/95 [00:03<00:11, 6.81it/s]\n 18%|█▊ | 17/95 [00:03<00:10, 7.79it/s]\n 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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 22%|██▏ | 21/95 [00:07<00:24, 3.05it/s]\n 23%|██▎ | 22/95 [00:07<00:23, 3.07it/s]\n 24%|██▍ | 23/95 [00:07<00:23, 3.07it/s]\n 25%|██▌ | 24/95 [00:08<00:23, 3.07it/s]\n 26%|██▋ | 25/95 [00:08<00:25, 2.79it/s]\n 27%|██▋ | 26/95 [00:08<00:24, 2.86it/s]\n 28%|██▊ | 27/95 [00:09<00:23, 2.92it/s]\n 29%|██▉ | 28/95 [00:09<00:22, 2.93it/s]\n 31%|███ | 29/95 [00:09<00:22, 2.95it/s]\n 32%|███▏ | 30/95 [00:10<00:21, 2.98it/s]\n 33%|███▎ | 31/95 [00:10<00:21, 3.01it/s]\n 34%|███▎ | 32/95 [00:10<00:20, 3.02it/s]\n 35%|███▍ | 33/95 [00:11<00:20, 3.04it/s]\n 36%|███▌ | 34/95 [00:11<00:20, 3.01it/s]\n 37%|███▋ | 35/95 [00:11<00:19, 3.03it/s]\n 38%|███▊ | 36/95 [00:12<00:19, 3.01it/s]\n 39%|███▉ | 37/95 [00:12<00:19, 3.04it/s]\n 40%|████ | 38/95 [00:12<00:18, 3.06it/s]\n 41%|████ | 39/95 [00:13<00:18, 3.08it/s]\n 42%|████▏ | 40/95 [00:13<00:17, 3.07it/s]\n 43%|████▎ | 41/95 [00:13<00:17, 3.05it/s]\n 44%|████▍ | 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| 78/95 [00:36<00:07, 2.18it/s]\n 83%|████████▎ | 79/95 [00:37<00:09, 1.77it/s]\n 84%|████████▍ | 80/95 [00:37<00:08, 1.87it/s]\n 85%|████████▌ | 81/95 [00:37<00:07, 1.95it/s]\n 86%|████████▋ | 82/95 [00:38<00:06, 2.02it/s]\n 87%|████████▋ | 83/95 [00:38<00:05, 2.06it/s]\n 88%|████████▊ | 84/95 [00:39<00:05, 2.09it/s]\n 89%|████████▉ | 85/95 [00:39<00:04, 2.10it/s]\n 91%|█████████ | 86/95 [00:40<00:04, 2.13it/s]\n 92%|█████████▏| 87/95 [00:40<00:03, 2.14it/s]\n 93%|█████████▎| 88/95 [00:41<00:03, 2.16it/s]\n 94%|█████████▎| 89/95 [00:41<00:02, 2.14it/s]\n 95%|█████████▍| 90/95 [00:42<00:02, 2.14it/s]\n 96%|█████████▌| 91/95 [00:42<00:01, 2.13it/s]\n 97%|█████████▋| 92/95 [00:43<00:01, 2.17it/s]\n 98%|█████████▊| 93/95 [00:43<00:00, 2.16it/s]\n 99%|█████████▉| 94/95 [00:44<00:00, 2.10it/s]\n100%|██████████| 95/95 [00:44<00:00, 2.14it/s]\n100%|██████████| 95/95 [00:44<00:00, 2.14it/s]\nMoviepy - Building video /tmp/tmpxas3dx6m/output.mp4.\nMoviepy - Writing video /tmp/tmpxas3dx6m/output.mp4\n\n\nt: 0%| | 0/95 [00:00<?, ?it/s, now=None]\nt: 7%|▋ | 7/95 [00:00<00:01, 62.20it/s, now=None]\nt: 16%|█▌ | 15/95 [00:00<00:01, 62.40it/s, now=None]\nt: 25%|██▌ | 24/95 [00:00<00:00, 72.42it/s, now=None]\nt: 34%|███▎ | 32/95 [00:00<00:00, 70.73it/s, now=None]\nt: 42%|████▏ | 40/95 [00:00<00:00, 67.79it/s, now=None]\nt: 49%|████▉ | 47/95 [00:00<00:00, 63.93it/s, now=None]\nt: 57%|█████▋ | 54/95 [00:00<00:00, 45.26it/s, now=None]\nt: 63%|██████▎ | 60/95 [00:01<00:00, 40.90it/s, now=None]\nt: 68%|██████▊ | 65/95 [00:01<00:00, 37.90it/s, now=None]\nt: 74%|███████▎ | 70/95 [00:01<00:00, 37.02it/s, now=None]\nt: 78%|███████▊ | 74/95 [00:01<00:00, 33.27it/s, now=None]\nt: 82%|████████▏ | 78/95 [00:01<00:00, 34.13it/s, now=None]\nt: 86%|████████▋ | 82/95 [00:01<00:00, 28.04it/s, now=None]\nt: 91%|█████████ | 86/95 [00:02<00:00, 29.41it/s, now=None]\nt: 95%|█████████▍| 90/95 [00:02<00:00, 31.59it/s, now=None]\nt: 100%|██████████| 95/95 [00:02<00:00, 31.80it/s, now=None]\nMoviepy - Done !\nMoviepy - video ready /tmp/tmpxas3dx6m/output.mp4\nsaving to /tmp/tmpxas3dx6m/output.mp4\nGenerating demo successful!\n", "metrics": { "predict_time": 103.975344, "total_time": 168.782912 }, "output": { "output_video": "https://replicate.delivery/mgxm/4dbd5fab-53a0-4dd9-9592-b019d570f82f/output.mp4", "output_keypoints": "https://replicate.delivery/mgxm/b46ff805-fb28-4bc2-9669-3d97b49f825d/keypoints.zip" }, "started_at": "2022-06-09T18:18:41.007542Z", "status": "succeeded", "urls": { "get": "https://api.replicate.com/v1/predictions/bh5xmmyvvradteyexpp677xs4u", "cancel": "https://api.replicate.com/v1/predictions/bh5xmmyvvradteyexpp677xs4u/cancel" }, "version": "b80320fb7903d0d159ad82f81e3fe81cb27637d799d6683ec15c4aecd513f7af" }Generated inOutput dir: Video path /tmp/tmp7qvv8f4cdance.mp4 Generating 2D pose... 0%| | 0/95 [00:00<?, ?it/s] 1%| | 1/95 [00:00<01:21, 1.16it/s] 2%|▏ | 2/95 [00:01<01:06, 1.40it/s] 4%|▍ | 4/95 [00:01<00:29, 3.06it/s] 5%|▌ | 5/95 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87%|████████▋ | 83/95 [00:11<00:01, 7.97it/s] 88%|████████▊ | 84/95 [00:12<00:01, 7.15it/s] 89%|████████▉ | 85/95 [00:12<00:01, 7.56it/s] 91%|█████████ | 86/95 [00:12<00:01, 8.04it/s] 92%|█████████▏| 87/95 [00:12<00:00, 8.31it/s] 93%|█████████▎| 88/95 [00:12<00:00, 8.71it/s] 94%|█████████▎| 89/95 [00:12<00:00, 8.93it/s] 95%|█████████▍| 90/95 [00:12<00:00, 7.84it/s] 96%|█████████▌| 91/95 [00:12<00:00, 8.21it/s] 97%|█████████▋| 92/95 [00:13<00:00, 8.38it/s] 98%|█████████▊| 93/95 [00:13<00:00, 8.68it/s] 99%|█████████▉| 94/95 [00:13<00:00, 7.81it/s] 100%|██████████| 95/95 [00:13<00:00, 8.23it/s] 100%|██████████| 95/95 [00:13<00:00, 7.07it/s] Generating 2D pose successful! Zipping keypoints files... Generating 3D pose... 0%| | 0/95 [00:00<?, ?it/s] 1%| | 1/95 [00:00<00:34, 2.71it/s] 2%|▏ | 2/95 [00:00<00:34, 2.71it/s] 3%|▎ | 3/95 [00:01<00:32, 2.84it/s] 4%|▍ | 4/95 [00:01<00:31, 2.87it/s] 5%|▌ | 5/95 [00:01<00:30, 2.91it/s] 6%|▋ | 6/95 [00:02<00:30, 2.95it/s] 7%|▋ | 7/95 [00:02<00:29, 2.99it/s] 8%|▊ | 8/95 [00:02<00:31, 2.76it/s] 9%|▉ | 9/95 [00:03<00:30, 2.85it/s] 11%|█ | 10/95 [00:03<00:29, 2.92it/s] 12%|█▏ | 11/95 [00:03<00:28, 2.96it/s] 13%|█▎ | 12/95 [00:04<00:27, 2.99it/s] 14%|█▎ | 13/95 [00:04<00:27, 2.95it/s] 15%|█▍ | 14/95 [00:04<00:27, 2.98it/s] 16%|█▌ | 15/95 [00:05<00:26, 3.00it/s] 17%|█▋ | 16/95 [00:05<00:26, 2.99it/s] 18%|█▊ | 17/95 [00:05<00:25, 3.00it/s] 19%|█▉ | 18/95 [00:06<00:25, 3.03it/s] 20%|██ | 19/95 [00:06<00:24, 3.06it/s] 21%|██ | 20/95 [00:06<00:24, 3.06it/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. 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Moviepy - video ready /tmp/tmpxas3dx6m/output.mp4 saving to /tmp/tmpxas3dx6m/output.mp4 Generating demo successful!Prediction
vegetebird/human-pose-estimation:8966a53c2f165eb203c6b99b40f84bdf84be2d6621f7042be428dd530a8efa01ID7pkuhbn2ezbhhfszzndod2g4taStatusSucceededSourceWebHardware–Total durationCreatedInput
- input_path
{ "input_path": "https://replicate.delivery/mgxm/19949a4b-6fa3-4a08-898f-15797cc777a0/dance_two.mp4" }Install Replicate’s Node.js client library:npm install replicateImport 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 replicateImport 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.
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.
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 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7.78it/s]\n 93%|█████████▎| 103/111 [00:15<00:01, 8.00it/s]\n 94%|█████████▎| 104/111 [00:15<00:00, 8.23it/s]\n 95%|█████████▌| 106/111 [00:15<00:00, 8.08it/s]\n 96%|█████████▋| 107/111 [00:15<00:00, 8.10it/s]\n 97%|█████████▋| 108/111 [00:15<00:00, 8.24it/s]\n 98%|█████████▊| 109/111 [00:15<00:00, 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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| 85/111 [00:31<00:09, 2.66it/s]\n 77%|███████▋ | 86/111 [00:32<00:09, 2.66it/s]\n 78%|███████▊ | 87/111 [00:32<00:08, 2.70it/s]\n 79%|███████▉ | 88/111 [00:32<00:08, 2.72it/s]\n 80%|████████ | 89/111 [00:33<00:08, 2.73it/s]\n 81%|████████ | 90/111 [00:33<00:07, 2.75it/s]\n 82%|████████▏ | 91/111 [00:33<00:07, 2.76it/s]\n 83%|████████▎ | 92/111 [00:34<00:06, 2.73it/s]\n 84%|████████▍ | 93/111 [00:34<00:06, 2.70it/s]\n 85%|████████▍ | 94/111 [00:35<00:06, 2.69it/s]\n 86%|████████▌ | 95/111 [00:35<00:06, 2.65it/s]\n 86%|████████▋ | 96/111 [00:35<00:05, 2.64it/s]\n 87%|████████▋ | 97/111 [00:36<00:05, 2.66it/s]\n 88%|████████▊ | 98/111 [00:36<00:04, 2.70it/s]\n 89%|████████▉ | 99/111 [00:36<00:04, 2.71it/s]\n 90%|█████████ | 100/111 [00:37<00:04, 2.67it/s]\n 91%|█████████ | 101/111 [00:37<00:03, 2.64it/s]\n 92%|█████████▏| 102/111 [00:38<00:03, 2.66it/s]\n 93%|█████████▎| 103/111 [00:38<00:03, 2.19it/s]\n 94%|█████████▎| 104/111 [00:39<00:03, 2.33it/s]\n 95%|█████████▍| 105/111 [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 inOutput dir: Video path /tmp/tmppx8rcaxgdance_two.mp4 Generating 2D pose... 0%| | 0/111 [00:00<?, ?it/s] 1%| | 1/111 [00:00<01:37, 1.13it/s] 2%|▏ | 2/111 [00:01<01:15, 1.44it/s] 3%|▎ | 3/111 [00:01<00:47, 2.25it/s] 4%|▎ | 4/111 [00:01<00:34, 3.11it/s] 5%|▍ | 5/111 [00:01<00:25, 4.10it/s] 5%|▌ | 6/111 [00:01<00:20, 5.02it/s] 6%|▋ | 7/111 [00:02<00:19, 5.37it/s] 7%|▋ | 8/111 [00:02<00:16, 6.10it/s] 8%|▊ | 9/111 [00:02<00:15, 6.64it/s] 9%|▉ | 10/111 [00:02<00:15, 6.62it/s] 10%|▉ | 11/111 [00:02<00:14, 7.04it/s] 11%|█ | 12/111 [00:02<00:13, 7.50it/s] 12%|█▏ | 13/111 [00:02<00:12, 7.81it/s] 13%|█▎ | 14/111 [00:03<00:13, 7.17it/s] 14%|█▎ | 15/111 [00:03<00:12, 7.61it/s] 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[00:15<00:00, 8.10it/s] 97%|█████████▋| 108/111 [00:15<00:00, 8.24it/s] 98%|█████████▊| 109/111 [00:15<00:00, 8.49it/s] 99%|█████████▉| 110/111 [00:16<00:00, 7.72it/s] 100%|██████████| 111/111 [00:16<00:00, 8.02it/s] 100%|██████████| 111/111 [00:16<00:00, 6.89it/s] Generating 2D pose successful! Zipping keypoints files... Generating 3D pose... 0%| | 0/111 [00:00<?, ?it/s] 1%| | 1/111 [00:00<00:43, 2.53it/s] 2%|▏ | 2/111 [00:00<00:40, 2.66it/s] 3%|▎ | 3/111 [00:01<00:40, 2.67it/s] 4%|▎ | 4/111 [00:01<00:39, 2.74it/s] 5%|▍ | 5/111 [00:01<00:38, 2.77it/s] 5%|▌ | 6/111 [00:02<00:38, 2.74it/s] 6%|▋ | 7/111 [00:02<00:37, 2.77it/s] 7%|▋ | 8/111 [00:03<00:40, 2.55it/s] 8%|▊ | 9/111 [00:03<00:38, 2.63it/s] 9%|▉ | 10/111 [00:03<00:38, 2.66it/s] 10%|▉ | 11/111 [00:04<00:37, 2.66it/s] 11%|█ | 12/111 [00:04<00:36, 2.69it/s] 12%|█▏ | 13/111 [00:04<00:36, 2.70it/s] 13%|█▎ | 14/111 [00:05<00:36, 2.69it/s] 14%|█▎ | 15/111 [00:05<00:36, 2.63it/s] 14%|█▍ | 16/111 [00:05<00:35, 2.66it/s] 15%|█▌ | 17/111 [00:06<00:34, 2.71it/s] 16%|█▌ | 18/111 [00:06<00:34, 2.73it/s] 17%|█▋ | 19/111 [00:07<00:33, 2.74it/s] 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. 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Moviepy - Writing video /tmp/tmpbur64jt3/output.mp4 t: 0%| | 0/111 [00:00<?, ?it/s, now=None] t: 10%|▉ | 11/111 [00:00<00:00, 102.40it/s, now=None] t: 20%|█▉ | 22/111 [00:00<00:00, 98.13it/s, now=None] t: 29%|██▉ | 32/111 [00:00<00:00, 97.49it/s, now=None] t: 38%|███▊ | 42/111 [00:00<00:00, 90.33it/s, now=None] t: 47%|████▋ | 52/111 [00:00<00:00, 68.54it/s, now=None] t: 54%|█████▍ | 60/111 [00:00<00:00, 55.41it/s, now=None] t: 60%|██████ | 67/111 [00:01<00:00, 51.50it/s, now=None] t: 66%|██████▌ | 73/111 [00:01<00:00, 51.65it/s, now=None] t: 71%|███████ | 79/111 [00:01<00:00, 52.02it/s, now=None] t: 77%|███████▋ | 85/111 [00:01<00:00, 50.61it/s, now=None] t: 82%|████████▏ | 91/111 [00:01<00:00, 47.25it/s, now=None] t: 86%|████████▋ | 96/111 [00:01<00:00, 47.72it/s, now=None] t: 93%|█████████▎| 103/111 [00:01<00:00, 52.27it/s, now=None] t: 98%|█████████▊| 109/111 [00:01<00:00, 52.58it/s, now=None] Moviepy - Done ! Moviepy - video ready /tmp/tmpbur64jt3/output.mp4 saving to /tmp/tmpbur64jt3/output.mp4 Generating demo successful!Prediction
vegetebird/human-pose-estimation:3c7529f2b36759d14ea575a0cc5febad18f8e2614c066c500b922400b9ca4e5eIDl4cymend25erza2lyahqqlfvdyStatusSucceededSourceWebHardware–Total durationCreatedInput
- input_path
{ "input_path": "https://replicate.delivery/mgxm/b39aabd2-bf7d-46a3-ba99-2f15d1a16569/catwalk.mp4" }Install Replicate’s Node.js client library:npm install replicateImport 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:3c7529f2b36759d14ea575a0cc5febad18f8e2614c066c500b922400b9ca4e5e", { input: { input_path: "https://replicate.delivery/mgxm/b39aabd2-bf7d-46a3-ba99-2f15d1a16569/catwalk.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 replicateImport 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:3c7529f2b36759d14ea575a0cc5febad18f8e2614c066c500b922400b9ca4e5e", input={ "input_path": "https://replicate.delivery/mgxm/b39aabd2-bf7d-46a3-ba99-2f15d1a16569/catwalk.mp4" } ) print(output)To learn more, take a look at the guide on getting started with Python.
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:3c7529f2b36759d14ea575a0cc5febad18f8e2614c066c500b922400b9ca4e5e", "input": { "input_path": "https://replicate.delivery/mgxm/b39aabd2-bf7d-46a3-ba99-2f15d1a16569/catwalk.mp4" } }' \ https://api.replicate.com/v1/predictionsTo learn more, take a look at Replicate’s HTTP API reference docs.
Output
output_video
output_keypoints
keypoints.zip{ "completed_at": "2022-06-09T18:11:58.169901Z", "created_at": "2022-06-09T18:08:11.257167Z", "data_removed": false, "error": null, "id": "l4cymend25erza2lyahqqlfvdy", "input": { "input_path": "https://replicate.delivery/mgxm/b39aabd2-bf7d-46a3-ba99-2f15d1a16569/catwalk.mp4" }, "logs": "Output dir:\nVideo path /tmp/tmpr1et8g8jcatwalk.mp4\n\nGenerating 2D pose...\n\n 0%| | 0/146 [00:00<?, ?it/s]\n 1%| | 1/146 [00:00<02:12, 1.10it/s]\n 1%|▏ | 2/146 [00:01<01:34, 1.52it/s]\n 2%|▏ | 3/146 [00:01<01:00, 2.38it/s]\n 3%|▎ | 4/146 [00:01<00:44, 3.18it/s]\n 3%|▎ | 5/146 [00:01<00:34, 4.14it/s]\n 4%|▍ | 6/146 [00:01<00:28, 4.91it/s]\n 5%|▍ | 7/146 [00:02<00:26, 5.27it/s]\n 5%|▌ | 8/146 [00:02<00:23, 5.88it/s]\n 6%|▌ | 9/146 [00:02<00:20, 6.74it/s]\n 7%|▋ | 10/146 [00:02<00:21, 6.37it/s]\n 8%|▊ | 11/146 [00:02<00:19, 6.76it/s]\n 8%|▊ | 12/146 [00:02<00:19, 6.71it/s]\n 9%|▉ | 13/146 [00:02<00:19, 6.80it/s]\n 10%|▉ | 14/146 [00:03<00:17, 7.47it/s]\n 10%|█ | 15/146 [00:03<00:18, 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| 126/146 [00:18<00:02, 6.90it/s]\n 87%|████████▋ | 127/146 [00:18<00:02, 7.06it/s]\n 88%|████████▊ | 129/146 [00:18<00:02, 8.02it/s]\n 89%|████████▉ | 130/146 [00:19<00:01, 8.41it/s]\n 90%|████████▉ | 131/146 [00:19<00:02, 7.33it/s]\n 91%|█████████ | 133/146 [00:19<00:01, 8.17it/s]\n 92%|█████████▏| 134/146 [00:19<00:01, 8.41it/s]\n 92%|█████████▏| 135/146 [00:19<00:01, 7.71it/s]\n 93%|█████████▎| 136/146 [00:19<00:01, 8.00it/s]\n 94%|█████████▍| 137/146 [00:19<00:01, 8.28it/s]\n 95%|█████████▍| 138/146 [00:20<00:00, 8.40it/s]\n 95%|█████████▌| 139/146 [00:20<00:00, 8.73it/s]\n 96%|█████████▌| 140/146 [00:20<00:00, 7.84it/s]\n 97%|█████████▋| 141/146 [00:20<00:00, 8.13it/s]\n 97%|█████████▋| 142/146 [00:20<00:00, 8.41it/s]\n 98%|█████████▊| 143/146 [00:20<00:00, 8.52it/s]\n 99%|█████████▊| 144/146 [00:20<00:00, 7.63it/s]\n 99%|█████████▉| 145/146 [00:20<00:00, 7.98it/s]\n100%|██████████| 146/146 [00:20<00:00, 8.27it/s]\n100%|██████████| 146/146 [00:20<00:00, 6.95it/s]\nGenerating 2D pose successful!\nZipping keypoints files...\n\nGenerating 3D pose...\n\n 0%| | 0/146 [00:00<?, ?it/s]\n 1%| | 1/146 [00:00<00:56, 2.55it/s]\n 1%|▏ | 2/146 [00:00<00:53, 2.72it/s]\n 2%|▏ | 3/146 [00:01<00:50, 2.81it/s]\n 3%|▎ | 4/146 [00:01<00:49, 2.86it/s]\n 3%|▎ | 5/146 [00:01<00:49, 2.88it/s]\n 4%|▍ | 6/146 [00:02<00:48, 2.88it/s]\n 5%|▍ | 7/146 [00:02<00:48, 2.89it/s]\n 5%|▌ | 8/146 [00:02<00:53, 2.58it/s]\n 6%|▌ | 9/146 [00:03<00:51, 2.67it/s]\n 7%|▋ | 10/146 [00:03<00:49, 2.74it/s]\n 8%|▊ | 11/146 [00:03<00:48, 2.79it/s]\n 8%|▊ | 12/146 [00:04<00:47, 2.84it/s]\n 9%|▉ | 13/146 [00:04<00:47, 2.83it/s]\n 10%|▉ | 14/146 [00:05<00:47, 2.76it/s]\n 10%|█ | 15/146 [00:05<00:47, 2.78it/s]\n 11%|█ | 16/146 [00:05<00:46, 2.82it/s]\n 12%|█▏ | 17/146 [00:06<00:45, 2.86it/s]\n 12%|█▏ | 18/146 [00:06<00:45, 2.80it/s]\n 13%|█▎ | 19/146 [00:06<00:44, 2.85it/s]\n 14%|█▎ | 20/146 [00:07<00:43, 2.87it/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 14%|█▍ | 21/146 [00:07<00:43, 2.88it/s]\n 15%|█▌ | 22/146 [00:07<00:42, 2.90it/s]\n 16%|█▌ | 23/146 [00:08<00:42, 2.91it/s]\n 16%|█▋ | 24/146 [00:08<00:41, 2.93it/s]\n 17%|█▋ | 25/146 [00:08<00:46, 2.62it/s]\n 18%|█▊ | 26/146 [00:09<00:45, 2.64it/s]\n 18%|█▊ | 27/146 [00:09<00:43, 2.72it/s]\n 19%|█▉ | 28/146 [00:10<00:42, 2.77it/s]\n 20%|█▉ | 29/146 [00:10<00:42, 2.78it/s]\n 21%|██ | 30/146 [00:10<00:41, 2.81it/s]\n 21%|██ | 31/146 [00:11<00:40, 2.83it/s]\n 22%|██▏ | 32/146 [00:11<00:40, 2.85it/s]\n 23%|██▎ | 33/146 [00:11<00:39, 2.86it/s]\n 23%|██▎ | 34/146 [00:12<00:38, 2.88it/s]\n 24%|██▍ | 35/146 [00:12<00:38, 2.87it/s]\n 25%|██▍ | 36/146 [00:12<00:38, 2.87it/s]\n 25%|██▌ | 37/146 [00:13<00:38, 2.86it/s]\n 26%|██▌ | 38/146 [00:13<00:37, 2.87it/s]\n 27%|██▋ | 39/146 [00:13<00:37, 2.87it/s]\n 27%|██▋ | 40/146 [00:14<00:36, 2.89it/s]\n 28%|██▊ | 41/146 [00:14<00:35, 2.92it/s]\n 29%|██▉ | 42/146 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2.80it/s]\nGenerating 3D pose successful!\n\nGenerating demo...\n\n 0%| | 0/146 [00:00<?, ?it/s]\n 1%| | 1/146 [00:00<01:16, 1.90it/s]\n 1%|▏ | 2/146 [00:01<01:14, 1.93it/s]\n 2%|▏ | 3/146 [00:01<01:12, 1.96it/s]\n 3%|▎ | 4/146 [00:02<01:13, 1.94it/s]\n 3%|▎ | 5/146 [00:02<01:11, 1.98it/s]\n 4%|▍ | 6/146 [00:03<01:10, 1.99it/s]\n 5%|▍ | 7/146 [00:03<01:11, 1.95it/s]\n 5%|▌ | 8/146 [00:04<01:11, 1.94it/s]\n 6%|▌ | 9/146 [00:04<01:10, 1.94it/s]\n 7%|▋ | 10/146 [00:05<01:09, 1.95it/s]\n 8%|▊ | 11/146 [00:05<01:09, 1.95it/s]\n 8%|▊ | 12/146 [00:06<01:08, 1.95it/s]\n 9%|▉ | 13/146 [00:06<01:08, 1.93it/s]\n 10%|▉ | 14/146 [00:07<01:08, 1.93it/s]\n 10%|█ | 15/146 [00:07<01:07, 1.93it/s]\n 11%|█ | 16/146 [00:08<01:06, 1.96it/s]\n 12%|█▏ | 17/146 [00:08<01:06, 1.94it/s]\n 12%|█▏ | 18/146 [00:09<01:05, 1.94it/s]\n 13%|█▎ | 19/146 [00:09<01:06, 1.92it/s]\n 14%|█▎ | 20/146 [00:10<01:05, 1.92it/s]\n 14%|█▍ | 21/146 [00:10<01:07, 1.85it/s]\n 15%|█▌ | 22/146 [00:11<01:06, 1.87it/s]\n 16%|█▌ | 23/146 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1.92it/s]\n 90%|█████████ | 132/146 [01:10<00:07, 1.91it/s]\n 91%|█████████ | 133/146 [01:10<00:06, 1.91it/s]\n 92%|█████████▏| 134/146 [01:11<00:06, 1.88it/s]\n 92%|█████████▏| 135/146 [01:11<00:05, 1.87it/s]\n 93%|█████████▎| 136/146 [01:12<00:05, 1.88it/s]\n 94%|█████████▍| 137/146 [01:12<00:04, 1.87it/s]\n 95%|█████████▍| 138/146 [01:13<00:04, 1.89it/s]\n 95%|█████████▌| 139/146 [01:13<00:03, 1.86it/s]\n 96%|█████████▌| 140/146 [01:14<00:03, 1.82it/s]\n 97%|█████████▋| 141/146 [01:14<00:02, 1.84it/s]\n 97%|█████████▋| 142/146 [01:15<00:02, 1.86it/s]\n 98%|█████████▊| 143/146 [01:15<00:01, 1.88it/s]\n 99%|█████████▊| 144/146 [01:16<00:01, 1.89it/s]\n 99%|█████████▉| 145/146 [01:17<00:00, 1.88it/s]\n100%|██████████| 146/146 [01:17<00:00, 1.89it/s]\n100%|██████████| 146/146 [01:17<00:00, 1.88it/s]\nMoviepy - Building video /tmp/tmpm6f5orbp/output.mp4.\nMoviepy - Writing video /tmp/tmpm6f5orbp/output.mp4\n\n\nt: 0%| | 0/146 [00:00<?, ?it/s, now=None]\nt: 2%|▏ | 3/146 [00:00<00:06, 22.34it/s, now=None]\nt: 7%|▋ | 10/146 [00:00<00:03, 45.17it/s, now=None]\nt: 11%|█ | 16/146 [00:00<00:02, 48.31it/s, now=None]\nt: 17%|█▋ | 25/146 [00:00<00:01, 61.18it/s, now=None]\nt: 23%|██▎ | 33/146 [00:00<00:01, 64.60it/s, now=None]\nt: 28%|██▊ | 41/146 [00:00<00:01, 68.23it/s, now=None]\nt: 33%|███▎ | 48/146 [00:00<00:02, 46.85it/s, now=None]\nt: 37%|███▋ | 54/146 [00:01<00:02, 43.75it/s, now=None]\nt: 40%|████ | 59/146 [00:01<00:02, 42.80it/s, now=None]\nt: 44%|████▍ | 64/146 [00:01<00:02, 38.33it/s, now=None]\nt: 47%|████▋ | 69/146 [00:01<00:02, 34.33it/s, now=None]\nt: 50%|█████ | 73/146 [00:01<00:02, 32.54it/s, now=None]\nt: 53%|█████▎ | 77/146 [00:01<00:02, 29.48it/s, now=None]\nt: 55%|█████▌ | 81/146 [00:02<00:02, 30.62it/s, now=None]\nt: 59%|█████▉ | 86/146 [00:02<00:01, 34.55it/s, now=None]\nt: 62%|██████▏ | 90/146 [00:02<00:02, 24.53it/s, now=None]\nt: 64%|██████▍ | 94/146 [00:02<00:01, 26.86it/s, now=None]\nt: 67%|██████▋ | 98/146 [00:02<00:01, 26.54it/s, now=None]\nt: 70%|██████▉ | 102/146 [00:02<00:01, 27.36it/s, now=None]\nt: 72%|███████▏ | 105/146 [00:02<00:01, 24.46it/s, now=None]\nt: 75%|███████▍ | 109/146 [00:03<00:01, 27.54it/s, now=None]\nt: 77%|███████▋ | 113/146 [00:03<00:01, 29.26it/s, now=None]\nt: 80%|████████ | 117/146 [00:03<00:01, 26.66it/s, now=None]\nt: 82%|████████▏ | 120/146 [00:03<00:00, 26.01it/s, now=None]\nt: 85%|████████▍ | 124/146 [00:03<00:00, 28.74it/s, now=None]\nt: 88%|████████▊ | 128/146 [00:03<00:00, 25.62it/s, now=None]\nt: 90%|█████████ | 132/146 [00:03<00:00, 28.12it/s, now=None]\nt: 92%|█████████▏| 135/146 [00:04<00:00, 23.94it/s, now=None]\nt: 95%|█████████▍| 138/146 [00:04<00:00, 24.55it/s, now=None]\nt: 97%|█████████▋| 141/146 [00:04<00:00, 25.52it/s, now=None]\nt: 99%|█████████▉| 145/146 [00:04<00:00, 25.28it/s, now=None]\nMoviepy - Done !\nMoviepy - video ready /tmp/tmpm6f5orbp/output.mp4\nsaving to /tmp/tmpm6f5orbp/output.mp4\nGenerating demo successful!\n", "metrics": { "predict_time": 169.519897, "total_time": 226.912734 }, "output": { "output_video": "https://replicate.delivery/mgxm/ec3ba880-9213-4cca-ad77-354bda3528d5/output.mp4", "output_keypoints": "https://replicate.delivery/mgxm/027d50c7-a7a0-46b7-bb1a-0bf94e312461/keypoints.zip" }, "started_at": "2022-06-09T18:09:08.650004Z", "status": "succeeded", "urls": { "get": "https://api.replicate.com/v1/predictions/l4cymend25erza2lyahqqlfvdy", "cancel": "https://api.replicate.com/v1/predictions/l4cymend25erza2lyahqqlfvdy/cancel" }, "version": "3c7529f2b36759d14ea575a0cc5febad18f8e2614c066c500b922400b9ca4e5e" }Generated inOutput dir: Video path /tmp/tmpr1et8g8jcatwalk.mp4 Generating 2D pose... 0%| | 0/146 [00:00<?, ?it/s] 1%| | 1/146 [00:00<02:12, 1.10it/s] 1%|▏ | 2/146 [00:01<01:34, 1.52it/s] 2%|▏ | 3/146 [00:01<01:00, 2.38it/s] 3%|▎ | 4/146 [00:01<00:44, 3.18it/s] 3%|▎ | 5/146 [00:01<00:34, 4.14it/s] 4%|▍ | 6/146 [00:01<00:28, 4.91it/s] 5%|▍ | 7/146 [00:02<00:26, 5.27it/s] 5%|▌ | 8/146 [00:02<00:23, 5.88it/s] 6%|▌ | 9/146 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pose successful! Zipping keypoints files... Generating 3D pose... 0%| | 0/146 [00:00<?, ?it/s] 1%| | 1/146 [00:00<00:56, 2.55it/s] 1%|▏ | 2/146 [00:00<00:53, 2.72it/s] 2%|▏ | 3/146 [00:01<00:50, 2.81it/s] 3%|▎ | 4/146 [00:01<00:49, 2.86it/s] 3%|▎ | 5/146 [00:01<00:49, 2.88it/s] 4%|▍ | 6/146 [00:02<00:48, 2.88it/s] 5%|▍ | 7/146 [00:02<00:48, 2.89it/s] 5%|▌ | 8/146 [00:02<00:53, 2.58it/s] 6%|▌ | 9/146 [00:03<00:51, 2.67it/s] 7%|▋ | 10/146 [00:03<00:49, 2.74it/s] 8%|▊ | 11/146 [00:03<00:48, 2.79it/s] 8%|▊ | 12/146 [00:04<00:47, 2.84it/s] 9%|▉ | 13/146 [00:04<00:47, 2.83it/s] 10%|▉ | 14/146 [00:05<00:47, 2.76it/s] 10%|█ | 15/146 [00:05<00:47, 2.78it/s] 11%|█ | 16/146 [00:05<00:46, 2.82it/s] 12%|█▏ | 17/146 [00:06<00:45, 2.86it/s] 12%|█▏ | 18/146 [00:06<00:45, 2.80it/s] 13%|█▎ | 19/146 [00:06<00:44, 2.85it/s] 14%|█▎ | 20/146 [00:07<00:43, 2.87it/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`). warnings.warn( 14%|█▍ | 21/146 [00:07<00:43, 2.88it/s] 15%|█▌ | 22/146 [00:07<00:42, 2.90it/s] 16%|█▌ | 23/146 [00:08<00:42, 2.91it/s] 16%|█▋ | 24/146 [00:08<00:41, 2.93it/s] 17%|█▋ | 25/146 [00:08<00:46, 2.62it/s] 18%|█▊ | 26/146 [00:09<00:45, 2.64it/s] 18%|█▊ | 27/146 [00:09<00:43, 2.72it/s] 19%|█▉ | 28/146 [00:10<00:42, 2.77it/s] 20%|█▉ | 29/146 [00:10<00:42, 2.78it/s] 21%|██ | 30/146 [00:10<00:41, 2.81it/s] 21%|██ | 31/146 [00:11<00:40, 2.83it/s] 22%|██▏ | 32/146 [00:11<00:40, 2.85it/s] 23%|██▎ | 33/146 [00:11<00:39, 2.86it/s] 23%|██▎ | 34/146 [00:12<00:38, 2.88it/s] 24%|██▍ | 35/146 [00:12<00:38, 2.87it/s] 25%|██▍ | 36/146 [00:12<00:38, 2.87it/s] 25%|██▌ | 37/146 [00:13<00:38, 2.86it/s] 26%|██▌ | 38/146 [00:13<00:37, 2.87it/s] 27%|██▋ | 39/146 [00:13<00:37, 2.87it/s] 27%|██▋ | 40/146 [00:14<00:36, 2.89it/s] 28%|██▊ | 41/146 [00:14<00:35, 2.92it/s] 29%|██▉ | 42/146 [00:14<00:35, 2.93it/s] 29%|██▉ | 43/146 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Moviepy - video ready /tmp/tmpm6f5orbp/output.mp4 saving to /tmp/tmpm6f5orbp/output.mp4 Generating demo successful!Prediction
vegetebird/human-pose-estimation:8966a53c2f165eb203c6b99b40f84bdf84be2d6621f7042be428dd530a8efa01ID6d36fzymzbcwvpi3doddz24pr4StatusSucceededSourceWebHardware–Total durationCreatedInput
- input_path
{ "input_path": "https://replicate.delivery/mgxm/35ad4803-3e56-471c-bf9b-61fabcd0c592/sample_video.mp4" }Install Replicate’s Node.js client library:npm install replicateImport 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/35ad4803-3e56-471c-bf9b-61fabcd0c592/sample_video.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 replicateImport 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/35ad4803-3e56-471c-bf9b-61fabcd0c592/sample_video.mp4" } ) print(output)To learn more, take a look at the guide on getting started with Python.
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/35ad4803-3e56-471c-bf9b-61fabcd0c592/sample_video.mp4" } }' \ https://api.replicate.com/v1/predictionsTo learn more, take a look at Replicate’s HTTP API reference docs.
Output
output_video
output_keypoints
keypoints.zip{ "completed_at": "2022-06-09T19:08:49.997245Z", "created_at": "2022-06-09T19:02:23.405385Z", "data_removed": false, "error": null, "id": "6d36fzymzbcwvpi3doddz24pr4", "input": { "input_path": "https://replicate.delivery/mgxm/35ad4803-3e56-471c-bf9b-61fabcd0c592/sample_video.mp4" }, "logs": "Output dir:\nVideo path /tmp/tmpjbf3e5uhsample_video.mp4\n\nGenerating 2D pose...\n\n 0%| | 0/291 [00:00<?, ?it/s]\n 0%| | 1/291 [00:00<04:18, 1.12it/s]\n 1%| | 2/291 [00:01<03:14, 1.48it/s]\n 1%| | 3/291 [00:01<02:01, 2.38it/s]\n 1%|▏ | 4/291 [00:01<01:27, 3.27it/s]\n 2%|▏ | 5/291 [00:01<01:06, 4.31it/s]\n 2%|▏ | 6/291 [00:01<00:58, 4.88it/s]\n 2%|▏ | 7/291 [00:02<00:49, 5.68it/s]\n 3%|▎ | 8/291 [00:02<00:44, 6.35it/s]\n 3%|▎ | 9/291 [00:02<00:40, 6.92it/s]\n 3%|▎ | 10/291 [00:02<00:40, 6.89it/s]\n 4%|▍ | 11/291 [00:02<00:38, 7.32it/s]\n 4%|▍ | 12/291 [00:02<00:36, 7.66it/s]\n 4%|▍ | 13/291 [00:02<00:35, 7.73it/s]\n 5%|▍ | 14/291 [00:02<00:37, 7.30it/s]\n 5%|▌ | 15/291 [00:03<00:36, 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Figures created through the pyplot interface (`matplotlib.pyplot.figure`) are retained until explicitly closed and may consume too much memory. 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now=None]\nt: 96%|█████████▌| 279/291 [00:05<00:00, 46.81it/s, now=None]\nt: 98%|█████████▊| 285/291 [00:05<00:00, 49.71it/s, now=None]\nt: 100%|██████████| 291/291 [00:05<00:00, 51.20it/s, now=None]\nMoviepy - Done !\nMoviepy - video ready /tmp/tmpi2c8v21j/output.mp4\nsaving to /tmp/tmpi2c8v21j/output.mp4\nGenerating demo successful!\n", "metrics": { "predict_time": 328.398784, "total_time": 386.59186 }, "output": { "output_video": "https://replicate.delivery/mgxm/6bea038d-2899-4973-9830-50ac477cb497/output.mp4", "output_keypoints": "https://replicate.delivery/mgxm/c4bc8f24-b59a-43c6-abc1-9eb51b69a89a/keypoints.zip" }, "started_at": "2022-06-09T19:03:21.598461Z", "status": "succeeded", "urls": { "get": "https://api.replicate.com/v1/predictions/6d36fzymzbcwvpi3doddz24pr4", "cancel": "https://api.replicate.com/v1/predictions/6d36fzymzbcwvpi3doddz24pr4/cancel" }, "version": "8966a53c2f165eb203c6b99b40f84bdf84be2d6621f7042be428dd530a8efa01" }Generated inOutput dir: Video path 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Zipping keypoints files... Generating 3D pose... 0%| | 0/291 [00:00<?, ?it/s] 0%| | 1/291 [00:00<02:24, 2.01it/s] 1%| | 2/291 [00:00<02:08, 2.24it/s] 1%| | 3/291 [00:01<02:05, 2.29it/s] 1%|▏ | 4/291 [00:01<02:03, 2.33it/s] 2%|▏ | 5/291 [00:02<02:00, 2.37it/s] 2%|▏ | 6/291 [00:02<01:55, 2.48it/s] 2%|▏ | 7/291 [00:02<01:50, 2.57it/s] 3%|▎ | 8/291 [00:03<01:56, 2.42it/s] 3%|▎ | 9/291 [00:03<01:51, 2.52it/s] 3%|▎ | 10/291 [00:04<01:51, 2.53it/s] 4%|▍ | 11/291 [00:04<01:49, 2.57it/s] 4%|▍ | 12/291 [00:04<01:46, 2.62it/s] 4%|▍ | 13/291 [00:05<01:43, 2.68it/s] 5%|▍ | 14/291 [00:05<01:42, 2.71it/s] 5%|▌ | 15/291 [00:05<01:40, 2.74it/s] 5%|▌ | 16/291 [00:06<01:41, 2.71it/s] 6%|▌ | 17/291 [00:06<01:42, 2.66it/s] 6%|▌ | 18/291 [00:07<01:43, 2.63it/s] 7%|▋ | 19/291 [00:07<01:45, 2.59it/s] 7%|▋ | 20/291 [00:07<01:45, 2.56it/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. 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Moviepy - video ready /tmp/tmpi2c8v21j/output.mp4 saving to /tmp/tmpi2c8v21j/output.mp4 Generating demo successful!Prediction
vegetebird/human-pose-estimation:b80320fb7903d0d159ad82f81e3fe81cb27637d799d6683ec15c4aecd513f7afIDbrvgprd4n5ckdiwnzjpfsvkzz4StatusSucceededSourceWebHardware–Total durationCreatedInput
- input_path
{ "input_path": "https://replicate.delivery/mgxm/1d164565-9f62-4ac5-ac87-7eeff16728c9/ballet.mp4" }Install Replicate’s Node.js client library:npm install replicateImport 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:b80320fb7903d0d159ad82f81e3fe81cb27637d799d6683ec15c4aecd513f7af", { input: { input_path: "https://replicate.delivery/mgxm/1d164565-9f62-4ac5-ac87-7eeff16728c9/ballet.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 replicateImport 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:b80320fb7903d0d159ad82f81e3fe81cb27637d799d6683ec15c4aecd513f7af", input={ "input_path": "https://replicate.delivery/mgxm/1d164565-9f62-4ac5-ac87-7eeff16728c9/ballet.mp4" } ) print(output)To learn more, take a look at the guide on getting started with Python.
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:b80320fb7903d0d159ad82f81e3fe81cb27637d799d6683ec15c4aecd513f7af", "input": { "input_path": "https://replicate.delivery/mgxm/1d164565-9f62-4ac5-ac87-7eeff16728c9/ballet.mp4" } }' \ https://api.replicate.com/v1/predictionsTo learn more, take a look at Replicate’s HTTP API reference docs.
Output
output_video
output_keypoints
keypoints.zip{ "completed_at": "2022-06-09T18:19:57.048764Z", "created_at": "2022-06-09T18:17:27.994724Z", "data_removed": false, "error": null, "id": "brvgprd4n5ckdiwnzjpfsvkzz4", "input": { "input_path": "https://replicate.delivery/mgxm/1d164565-9f62-4ac5-ac87-7eeff16728c9/ballet.mp4" }, "logs": "Output dir:\nVideo path /tmp/tmprowh4odyballet.mp4\n\nGenerating 2D pose...\n\n 0%| | 0/115 [00:00<?, ?it/s]\n 1%| | 1/115 [00:00<01:41, 1.12it/s]\n 2%|▏ | 2/115 [00:01<01:25, 1.31it/s]\n 3%|▎ | 4/115 [00:01<00:38, 2.89it/s]\n 4%|▍ | 5/115 [00:01<00:30, 3.62it/s]\n 5%|▌ | 6/115 [00:02<00:25, 4.23it/s]\n 6%|▌ | 7/115 [00:02<00:21, 5.01it/s]\n 7%|▋ | 8/115 [00:02<00:18, 5.80it/s]\n 8%|▊ | 9/115 [00:02<00:16, 6.44it/s]\n 9%|▊ | 10/115 [00:02<00:14, 7.12it/s]\n 10%|▉ | 11/115 [00:02<00:15, 6.86it/s]\n 10%|█ | 12/115 [00:02<00:14, 7.27it/s]\n 11%|█▏ | 13/115 [00:02<00:13, 7.69it/s]\n 12%|█▏ | 14/115 [00:02<00:12, 8.00it/s]\n 13%|█▎ | 15/115 [00:03<00:13, 7.55it/s]\n 14%|█▍ | 16/115 [00:03<00:12, 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7.52it/s]\n 91%|█████████▏| 105/115 [00:15<00:01, 7.58it/s]\n 92%|█████████▏| 106/115 [00:15<00:01, 7.18it/s]\n 93%|█████████▎| 107/115 [00:15<00:01, 7.61it/s]\n 94%|█████████▍| 108/115 [00:15<00:00, 7.88it/s]\n 95%|█████████▍| 109/115 [00:15<00:00, 8.36it/s]\n 96%|█████████▌| 110/115 [00:15<00:00, 7.69it/s]\n 97%|█████████▋| 111/115 [00:15<00:00, 7.94it/s]\n 97%|█████████▋| 112/115 [00:15<00:00, 8.26it/s]\n 98%|█████████▊| 113/115 [00:16<00:00, 8.08it/s]\n 99%|█████████▉| 114/115 [00:16<00:00, 7.68it/s]\n100%|██████████| 115/115 [00:16<00:00, 7.93it/s]\n100%|██████████| 115/115 [00:16<00:00, 7.03it/s]\nGenerating 2D pose successful!\nZipping keypoints files...\n\nGenerating 3D pose...\n\n 0%| | 0/115 [00:00<?, ?it/s]\n 1%| | 1/115 [00:00<00:46, 2.46it/s]\n 2%|▏ | 2/115 [00:00<00:43, 2.63it/s]\n 3%|▎ | 3/115 [00:01<00:41, 2.68it/s]\n 3%|▎ | 4/115 [00:01<00:40, 2.75it/s]\n 4%|▍ | 5/115 [00:01<00:39, 2.79it/s]\n 5%|▌ | 6/115 [00:02<00:38, 2.81it/s]\n 6%|▌ | 7/115 [00:02<00:38, 2.79it/s]\n 7%|▋ | 8/115 [00:03<00:42, 2.51it/s]\n 8%|▊ | 9/115 [00:03<00:40, 2.61it/s]\n 9%|▊ | 10/115 [00:03<00:39, 2.67it/s]\n 10%|▉ | 11/115 [00:04<00:38, 2.73it/s]\n 10%|█ | 12/115 [00:04<00:37, 2.76it/s]\n 11%|█▏ | 13/115 [00:04<00:36, 2.79it/s]\n 12%|█▏ | 14/115 [00:05<00:35, 2.81it/s]\n 13%|█▎ | 15/115 [00:05<00:35, 2.82it/s]\n 14%|█▍ | 16/115 [00:05<00:34, 2.83it/s]\n 15%|█▍ | 17/115 [00:06<00:34, 2.85it/s]\n 16%|█▌ | 18/115 [00:06<00:33, 2.87it/s]\n 17%|█▋ | 19/115 [00:06<00:33, 2.86it/s]\n 17%|█▋ | 20/115 [00:07<00:33, 2.86it/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 18%|█▊ | 21/115 [00:07<00:33, 2.80it/s]\n 19%|█▉ | 22/115 [00:07<00:33, 2.81it/s]\n 20%|██ | 23/115 [00:08<00:32, 2.80it/s]\n 21%|██ | 24/115 [00:08<00:32, 2.80it/s]\n 22%|██▏ | 25/115 [00:09<00:35, 2.52it/s]\n 23%|██▎ | 26/115 [00:09<00:34, 2.54it/s]\n 23%|██▎ | 27/115 [00:09<00:33, 2.59it/s]\n 24%|██▍ | 28/115 [00:10<00:33, 2.63it/s]\n 25%|██▌ | 29/115 [00:10<00:32, 2.67it/s]\n 26%|██▌ | 30/115 [00:11<00:31, 2.70it/s]\n 27%|██▋ | 31/115 [00:11<00:30, 2.72it/s]\n 28%|██▊ | 32/115 [00:11<00:30, 2.71it/s]\n 29%|██▊ | 33/115 [00:12<00:30, 2.71it/s]\n 30%|██▉ | 34/115 [00:12<00:30, 2.69it/s]\n 30%|███ | 35/115 [00:12<00:29, 2.67it/s]\n 31%|███▏ | 36/115 [00:13<00:29, 2.64it/s]\n 32%|███▏ | 37/115 [00:13<00:29, 2.66it/s]\n 33%|███▎ | 38/115 [00:13<00:28, 2.67it/s]\n 34%|███▍ | 39/115 [00:14<00:28, 2.70it/s]\n 35%|███▍ | 40/115 [00:14<00:27, 2.74it/s]\n 36%|███▌ | 41/115 [00:15<00:26, 2.75it/s]\n 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2.47it/s]\n 92%|█████████▏| 106/115 [00:38<00:03, 2.56it/s]\n 93%|█████████▎| 107/115 [00:39<00:03, 2.52it/s]\n 94%|█████████▍| 108/115 [00:39<00:02, 2.49it/s]\n 95%|█████████▍| 109/115 [00:40<00:02, 2.57it/s]\n 96%|█████████▌| 110/115 [00:40<00:01, 2.63it/s]\n 97%|█████████▋| 111/115 [00:40<00:01, 2.66it/s]\n 97%|█████████▋| 112/115 [00:41<00:01, 2.69it/s]\n 98%|█████████▊| 113/115 [00:41<00:00, 2.73it/s]\n 99%|█████████▉| 114/115 [00:41<00:00, 2.76it/s]\n100%|██████████| 115/115 [00:42<00:00, 2.74it/s]\n100%|██████████| 115/115 [00:42<00:00, 2.72it/s]\nGenerating 3D pose successful!\n\nGenerating demo...\n\n 0%| | 0/115 [00:00<?, ?it/s]\n 1%| | 1/115 [00:00<00:48, 2.36it/s]\n 2%|▏ | 2/115 [00:00<00:46, 2.43it/s]\n 3%|▎ | 3/115 [00:01<00:46, 2.42it/s]\n 3%|▎ | 4/115 [00:01<00:45, 2.45it/s]\n 4%|▍ | 5/115 [00:02<00:44, 2.47it/s]\n 5%|▌ | 6/115 [00:02<00:44, 2.43it/s]\n 6%|▌ | 7/115 [00:02<00:44, 2.43it/s]\n 7%|▋ | 8/115 [00:03<00:43, 2.44it/s]\n 8%|▊ | 9/115 [00:03<00:42, 2.47it/s]\n 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2.50it/s]\n 68%|██████▊ | 78/115 [00:32<00:14, 2.51it/s]\n 69%|██████▊ | 79/115 [00:32<00:14, 2.50it/s]\n 70%|██████▉ | 80/115 [00:32<00:14, 2.49it/s]\n 70%|███████ | 81/115 [00:33<00:13, 2.47it/s]\n 71%|███████▏ | 82/115 [00:33<00:13, 2.48it/s]\n 72%|███████▏ | 83/115 [00:34<00:12, 2.49it/s]\n 73%|███████▎ | 84/115 [00:34<00:12, 2.47it/s]\n 74%|███████▍ | 85/115 [00:35<00:12, 2.49it/s]\n 75%|███████▍ | 86/115 [00:35<00:11, 2.43it/s]\n 76%|███████▌ | 87/115 [00:35<00:11, 2.43it/s]\n 77%|███████▋ | 88/115 [00:36<00:11, 2.45it/s]\n 77%|███████▋ | 89/115 [00:36<00:10, 2.43it/s]\n 78%|███████▊ | 90/115 [00:37<00:10, 2.36it/s]\n 79%|███████▉ | 91/115 [00:37<00:10, 2.38it/s]\n 80%|████████ | 92/115 [00:37<00:09, 2.41it/s]\n 81%|████████ | 93/115 [00:38<00:09, 2.43it/s]\n 82%|████████▏ | 94/115 [00:38<00:08, 2.46it/s]\n 83%|████████▎ | 95/115 [00:39<00:08, 2.47it/s]\n 83%|████████▎ | 96/115 [00:39<00:07, 2.47it/s]\n 84%|████████▍ | 97/115 [00:39<00:07, 2.45it/s]\n 85%|████████▌ | 98/115 [00:40<00:06, 2.46it/s]\n 86%|████████▌ | 99/115 [00:40<00:06, 2.46it/s]\n 87%|████████▋ | 100/115 [00:41<00:06, 2.47it/s]\n 88%|████████▊ | 101/115 [00:41<00:05, 2.46it/s]\n 89%|████████▊ | 102/115 [00:41<00:05, 2.45it/s]\n 90%|████████▉ | 103/115 [00:42<00:04, 2.47it/s]\n 90%|█████████ | 104/115 [00:42<00:04, 2.47it/s]\n 91%|█████████▏| 105/115 [00:43<00:04, 2.48it/s]\n 92%|█████████▏| 106/115 [00:43<00:03, 2.47it/s]\n 93%|█████████▎| 107/115 [00:43<00:03, 2.48it/s]\n 94%|█████████▍| 108/115 [00:44<00:02, 2.48it/s]\n 95%|█████████▍| 109/115 [00:44<00:02, 2.49it/s]\n 96%|█████████▌| 110/115 [00:45<00:02, 2.47it/s]\n 97%|█████████▋| 111/115 [00:45<00:01, 2.48it/s]\n 97%|█████████▋| 112/115 [00:46<00:01, 2.49it/s]\n 98%|█████████▊| 113/115 [00:46<00:00, 2.50it/s]\n 99%|█████████▉| 114/115 [00:46<00:00, 2.51it/s]\n100%|██████████| 115/115 [00:47<00:00, 2.45it/s]\n100%|██████████| 115/115 [00:47<00:00, 2.43it/s]\nMoviepy - Building video /tmp/tmptw5e6ugn/output.mp4.\nMoviepy - Writing video /tmp/tmptw5e6ugn/output.mp4\n\n\nt: 0%| | 0/115 [00:00<?, ?it/s, now=None]\nt: 10%|▉ | 11/115 [00:00<00:01, 102.66it/s, now=None]\nt: 21%|██ | 24/115 [00:00<00:00, 113.88it/s, now=None]\nt: 32%|███▏ | 37/115 [00:00<00:00, 118.30it/s, now=None]\nt: 43%|████▎ | 49/115 [00:00<00:00, 93.31it/s, now=None]\nt: 51%|█████▏ | 59/115 [00:00<00:00, 85.23it/s, now=None]\nt: 59%|█████▉ | 68/115 [00:00<00:00, 71.90it/s, now=None]\nt: 66%|██████▌ | 76/115 [00:00<00:00, 61.90it/s, now=None]\nt: 72%|███████▏ | 83/115 [00:01<00:00, 61.83it/s, now=None]\nt: 78%|███████▊ | 90/115 [00:01<00:00, 60.95it/s, now=None]\nt: 84%|████████▍ | 97/115 [00:01<00:00, 55.96it/s, now=None]\nt: 90%|█████████ | 104/115 [00:01<00:00, 59.08it/s, now=None]\nt: 97%|█████████▋| 111/115 [00:01<00:00, 60.99it/s, now=None]\nMoviepy - Done !\nMoviepy - video ready /tmp/tmptw5e6ugn/output.mp4\nsaving to /tmp/tmptw5e6ugn/output.mp4\nGenerating demo successful!\n", "metrics": { "predict_time": 118.617475, "total_time": 149.05404 }, "output": { "output_video": "https://replicate.delivery/mgxm/21d46589-4111-48ad-b4e6-257ca5ee77b3/output.mp4", "output_keypoints": "https://replicate.delivery/mgxm/9f00e617-ecb8-407b-84f3-ec0610bcfe59/keypoints.zip" }, "started_at": "2022-06-09T18:17:58.431289Z", "status": "succeeded", "urls": { "get": "https://api.replicate.com/v1/predictions/brvgprd4n5ckdiwnzjpfsvkzz4", "cancel": "https://api.replicate.com/v1/predictions/brvgprd4n5ckdiwnzjpfsvkzz4/cancel" }, "version": "b80320fb7903d0d159ad82f81e3fe81cb27637d799d6683ec15c4aecd513f7af" }Generated inOutput dir: Video path /tmp/tmprowh4odyballet.mp4 Generating 2D pose... 0%| | 0/115 [00:00<?, ?it/s] 1%| | 1/115 [00:00<01:41, 1.12it/s] 2%|▏ | 2/115 [00:01<01:25, 1.31it/s] 3%|▎ | 4/115 [00:01<00:38, 2.89it/s] 4%|▍ | 5/115 [00:01<00:30, 3.62it/s] 5%|▌ | 6/115 [00:02<00:25, 4.23it/s] 6%|▌ | 7/115 [00:02<00:21, 5.01it/s] 7%|▋ | 8/115 [00:02<00:18, 5.80it/s] 8%|▊ | 9/115 [00:02<00:16, 6.44it/s] 9%|▊ | 10/115 [00:02<00:14, 7.12it/s] 10%|▉ | 11/115 [00:02<00:15, 6.86it/s] 10%|█ | 12/115 [00:02<00:14, 7.27it/s] 11%|█▏ | 13/115 [00:02<00:13, 7.69it/s] 12%|█▏ | 14/115 [00:02<00:12, 8.00it/s] 13%|█▎ | 15/115 [00:03<00:13, 7.55it/s] 14%|█▍ | 16/115 [00:03<00:12, 7.74it/s] 15%|█▍ | 17/115 [00:03<00:12, 8.14it/s] 16%|█▌ | 18/115 [00:03<00:11, 8.21it/s] 17%|█▋ | 19/115 [00:03<00:11, 8.61it/s] 17%|█▋ | 20/115 [00:03<00:12, 7.83it/s] 18%|█▊ | 21/115 [00:03<00:11, 7.99it/s] 19%|█▉ | 22/115 [00:03<00:11, 8.07it/s] 20%|██ | 23/115 [00:04<00:10, 8.39it/s] 21%|██ | 24/115 [00:04<00:15, 6.06it/s] 23%|██▎ | 26/115 [00:04<00:12, 7.41it/s] 23%|██▎ | 27/115 [00:04<00:11, 7.64it/s] 24%|██▍ | 28/115 [00:04<00:10, 7.98it/s] 25%|██▌ | 29/115 [00:04<00:11, 7.33it/s] 26%|██▌ | 30/115 [00:05<00:10, 7.79it/s] 27%|██▋ | 31/115 [00:05<00:10, 7.99it/s] 28%|██▊ | 32/115 [00:05<00:09, 8.40it/s] 29%|██▊ | 33/115 [00:05<00:10, 7.77it/s] 30%|██▉ | 34/115 [00:05<00:10, 7.94it/s] 30%|███ | 35/115 [00:05<00:09, 8.24it/s] 31%|███▏ | 36/115 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103/115 [00:14<00:01, 7.52it/s] 90%|█████████ | 104/115 [00:14<00:01, 7.52it/s] 91%|█████████▏| 105/115 [00:15<00:01, 7.58it/s] 92%|█████████▏| 106/115 [00:15<00:01, 7.18it/s] 93%|█████████▎| 107/115 [00:15<00:01, 7.61it/s] 94%|█████████▍| 108/115 [00:15<00:00, 7.88it/s] 95%|█████████▍| 109/115 [00:15<00:00, 8.36it/s] 96%|█████████▌| 110/115 [00:15<00:00, 7.69it/s] 97%|█████████▋| 111/115 [00:15<00:00, 7.94it/s] 97%|█████████▋| 112/115 [00:15<00:00, 8.26it/s] 98%|█████████▊| 113/115 [00:16<00:00, 8.08it/s] 99%|█████████▉| 114/115 [00:16<00:00, 7.68it/s] 100%|██████████| 115/115 [00:16<00:00, 7.93it/s] 100%|██████████| 115/115 [00:16<00:00, 7.03it/s] Generating 2D pose successful! Zipping keypoints files... Generating 3D pose... 0%| | 0/115 [00:00<?, ?it/s] 1%| | 1/115 [00:00<00:46, 2.46it/s] 2%|▏ | 2/115 [00:00<00:43, 2.63it/s] 3%|▎ | 3/115 [00:01<00:41, 2.68it/s] 3%|▎ | 4/115 [00:01<00:40, 2.75it/s] 4%|▍ | 5/115 [00:01<00:39, 2.79it/s] 5%|▌ | 6/115 [00:02<00:38, 2.81it/s] 6%|▌ | 7/115 [00:02<00:38, 2.79it/s] 7%|▋ | 8/115 [00:03<00:42, 2.51it/s] 8%|▊ | 9/115 [00:03<00:40, 2.61it/s] 9%|▊ | 10/115 [00:03<00:39, 2.67it/s] 10%|▉ | 11/115 [00:04<00:38, 2.73it/s] 10%|█ | 12/115 [00:04<00:37, 2.76it/s] 11%|█▏ | 13/115 [00:04<00:36, 2.79it/s] 12%|█▏ | 14/115 [00:05<00:35, 2.81it/s] 13%|█▎ | 15/115 [00:05<00:35, 2.82it/s] 14%|█▍ | 16/115 [00:05<00:34, 2.83it/s] 15%|█▍ | 17/115 [00:06<00:34, 2.85it/s] 16%|█▌ | 18/115 [00:06<00:33, 2.87it/s] 17%|█▋ | 19/115 [00:06<00:33, 2.86it/s] 17%|█▋ | 20/115 [00:07<00:33, 2.86it/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`). warnings.warn( 18%|█▊ | 21/115 [00:07<00:33, 2.80it/s] 19%|█▉ | 22/115 [00:07<00:33, 2.81it/s] 20%|██ | 23/115 [00:08<00:32, 2.80it/s] 21%|██ | 24/115 [00:08<00:32, 2.80it/s] 22%|██▏ | 25/115 [00:09<00:35, 2.52it/s] 23%|██▎ | 26/115 [00:09<00:34, 2.54it/s] 23%|██▎ | 27/115 [00:09<00:33, 2.59it/s] 24%|██▍ | 28/115 [00:10<00:33, 2.63it/s] 25%|██▌ | 29/115 [00:10<00:32, 2.67it/s] 26%|██▌ | 30/115 [00:11<00:31, 2.70it/s] 27%|██▋ | 31/115 [00:11<00:30, 2.72it/s] 28%|██▊ | 32/115 [00:11<00:30, 2.71it/s] 29%|██▊ | 33/115 [00:12<00:30, 2.71it/s] 30%|██▉ | 34/115 [00:12<00:30, 2.69it/s] 30%|███ | 35/115 [00:12<00:29, 2.67it/s] 31%|███▏ | 36/115 [00:13<00:29, 2.64it/s] 32%|███▏ | 37/115 [00:13<00:29, 2.66it/s] 33%|███▎ | 38/115 [00:13<00:28, 2.67it/s] 34%|███▍ | 39/115 [00:14<00:28, 2.70it/s] 35%|███▍ | 40/115 [00:14<00:27, 2.74it/s] 36%|███▌ | 41/115 [00:15<00:26, 2.75it/s] 37%|███▋ | 42/115 [00:15<00:26, 2.75it/s] 37%|███▋ | 43/115 [00:15<00:26, 2.76it/s] 38%|███▊ | 44/115 [00:16<00:25, 2.77it/s] 39%|███▉ | 45/115 [00:16<00:25, 2.80it/s] 40%|████ | 46/115 [00:17<00:27, 2.47it/s] 41%|████ | 47/115 [00:17<00:26, 2.55it/s] 42%|████▏ | 48/115 [00:17<00:26, 2.56it/s] 43%|████▎ | 49/115 [00:18<00:25, 2.61it/s] 43%|████▎ | 50/115 [00:18<00:24, 2.67it/s] 44%|████▍ | 51/115 [00:18<00:23, 2.70it/s] 45%|████▌ | 52/115 [00:19<00:23, 2.74it/s] 46%|████▌ | 53/115 [00:19<00:22, 2.70it/s] 47%|████▋ | 54/115 [00:19<00:22, 2.73it/s] 48%|████▊ | 55/115 [00:20<00:21, 2.76it/s] 49%|████▊ | 56/115 [00:20<00:21, 2.77it/s] 50%|████▉ | 57/115 [00:20<00:20, 2.79it/s] 50%|█████ | 58/115 [00:21<00:20, 2.81it/s] 51%|█████▏ | 59/115 [00:21<00:19, 2.82it/s] 52%|█████▏ | 60/115 [00:22<00:19, 2.83it/s] 53%|█████▎ | 61/115 [00:22<00:19, 2.82it/s] 54%|█████▍ | 62/115 [00:22<00:18, 2.81it/s] 55%|█████▍ | 63/115 [00:23<00:18, 2.77it/s] 56%|█████▌ | 64/115 [00:23<00:18, 2.79it/s] 57%|█████▋ | 65/115 [00:23<00:17, 2.80it/s] 57%|█████▋ | 66/115 [00:24<00:17, 2.75it/s] 58%|█████▊ | 67/115 [00:24<00:17, 2.78it/s] 59%|█████▉ | 68/115 [00:24<00:16, 2.81it/s] 60%|██████ | 69/115 [00:25<00:16, 2.83it/s] 61%|██████ | 70/115 [00:25<00:15, 2.84it/s] 62%|██████▏ | 71/115 [00:25<00:15, 2.85it/s] 63%|██████▎ | 72/115 [00:26<00:17, 2.40it/s] 63%|██████▎ | 73/115 [00:26<00:16, 2.52it/s] 64%|██████▍ | 74/115 [00:27<00:15, 2.61it/s] 65%|██████▌ | 75/115 [00:27<00:15, 2.62it/s] 66%|██████▌ | 76/115 [00:27<00:14, 2.69it/s] 67%|██████▋ | 77/115 [00:28<00:13, 2.74it/s] 68%|██████▊ | 78/115 [00:28<00:13, 2.76it/s] 69%|██████▊ | 79/115 [00:29<00:12, 2.80it/s] 70%|██████▉ | 80/115 [00:29<00:12, 2.70it/s] 70%|███████ | 81/115 [00:29<00:12, 2.75it/s] 71%|███████▏ | 82/115 [00:30<00:11, 2.77it/s] 72%|███████▏ | 83/115 [00:30<00:11, 2.78it/s] 73%|███████▎ | 84/115 [00:30<00:11, 2.79it/s] 74%|███████▍ | 85/115 [00:31<00:10, 2.79it/s] 75%|███████▍ | 86/115 [00:31<00:10, 2.81it/s] 76%|███████▌ | 87/115 [00:31<00:09, 2.82it/s] 77%|███████▋ | 88/115 [00:32<00:09, 2.81it/s] 77%|███████▋ | 89/115 [00:32<00:09, 2.75it/s] 78%|███████▊ | 90/115 [00:32<00:09, 2.77it/s] 79%|███████▉ | 91/115 [00:33<00:08, 2.73it/s] 80%|████████ | 92/115 [00:33<00:08, 2.76it/s] 81%|████████ | 93/115 [00:34<00:07, 2.79it/s] 82%|████████▏ | 94/115 [00:34<00:07, 2.80it/s] 83%|████████▎ | 95/115 [00:34<00:07, 2.82it/s] 83%|████████▎ | 96/115 [00:35<00:06, 2.81it/s] 84%|████████▍ | 97/115 [00:35<00:06, 2.82it/s] 85%|████████▌ | 98/115 [00:35<00:06, 2.82it/s] 86%|████████▌ | 99/115 [00:36<00:05, 2.81it/s] 87%|████████▋ | 100/115 [00:36<00:05, 2.82it/s] 88%|████████▊ | 101/115 [00:36<00:04, 2.81it/s] 89%|████████▊ | 102/115 [00:37<00:04, 2.81it/s] 90%|████████▉ | 103/115 [00:37<00:05, 2.26it/s] 90%|█████████ | 104/115 [00:38<00:04, 2.37it/s] 91%|█████████▏| 105/115 [00:38<00:04, 2.47it/s] 92%|█████████▏| 106/115 [00:38<00:03, 2.56it/s] 93%|█████████▎| 107/115 [00:39<00:03, 2.52it/s] 94%|█████████▍| 108/115 [00:39<00:02, 2.49it/s] 95%|█████████▍| 109/115 [00:40<00:02, 2.57it/s] 96%|█████████▌| 110/115 [00:40<00:01, 2.63it/s] 97%|█████████▋| 111/115 [00:40<00:01, 2.66it/s] 97%|█████████▋| 112/115 [00:41<00:01, 2.69it/s] 98%|█████████▊| 113/115 [00:41<00:00, 2.73it/s] 99%|█████████▉| 114/115 [00:41<00:00, 2.76it/s] 100%|██████████| 115/115 [00:42<00:00, 2.74it/s] 100%|██████████| 115/115 [00:42<00:00, 2.72it/s] Generating 3D pose successful! Generating demo... 0%| | 0/115 [00:00<?, ?it/s] 1%| | 1/115 [00:00<00:48, 2.36it/s] 2%|▏ | 2/115 [00:00<00:46, 2.43it/s] 3%|▎ | 3/115 [00:01<00:46, 2.42it/s] 3%|▎ | 4/115 [00:01<00:45, 2.45it/s] 4%|▍ | 5/115 [00:02<00:44, 2.47it/s] 5%|▌ | 6/115 [00:02<00:44, 2.43it/s] 6%|▌ | 7/115 [00:02<00:44, 2.43it/s] 7%|▋ | 8/115 [00:03<00:43, 2.44it/s] 8%|▊ | 9/115 [00:03<00:42, 2.47it/s] 9%|▊ | 10/115 [00:04<00:42, 2.47it/s] 10%|▉ | 11/115 [00:04<00:42, 2.47it/s] 10%|█ | 12/115 [00:04<00:41, 2.47it/s] 11%|█▏ | 13/115 [00:05<00:42, 2.42it/s] 12%|█▏ | 14/115 [00:05<00:41, 2.45it/s] 13%|█▎ | 15/115 [00:06<00:40, 2.47it/s] 14%|█▍ | 16/115 [00:06<00:39, 2.49it/s] 15%|█▍ | 17/115 [00:06<00:40, 2.45it/s] 16%|█▌ | 18/115 [00:07<00:39, 2.47it/s] 17%|█▋ | 19/115 [00:07<00:38, 2.48it/s] 17%|█▋ | 20/115 [00:08<00:38, 2.48it/s] 18%|█▊ | 21/115 [00:08<00:37, 2.48it/s] 19%|█▉ | 22/115 [00:08<00:37, 2.48it/s] 20%|██ | 23/115 [00:09<00:37, 2.47it/s] 21%|██ | 24/115 [00:09<00:36, 2.48it/s] 22%|██▏ | 25/115 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2.51it/s] 100%|██████████| 115/115 [00:47<00:00, 2.45it/s] 100%|██████████| 115/115 [00:47<00:00, 2.43it/s] Moviepy - Building video /tmp/tmptw5e6ugn/output.mp4. Moviepy - Writing video /tmp/tmptw5e6ugn/output.mp4 t: 0%| | 0/115 [00:00<?, ?it/s, now=None] t: 10%|▉ | 11/115 [00:00<00:01, 102.66it/s, now=None] t: 21%|██ | 24/115 [00:00<00:00, 113.88it/s, now=None] t: 32%|███▏ | 37/115 [00:00<00:00, 118.30it/s, now=None] t: 43%|████▎ | 49/115 [00:00<00:00, 93.31it/s, now=None] t: 51%|█████▏ | 59/115 [00:00<00:00, 85.23it/s, now=None] t: 59%|█████▉ | 68/115 [00:00<00:00, 71.90it/s, now=None] t: 66%|██████▌ | 76/115 [00:00<00:00, 61.90it/s, now=None] t: 72%|███████▏ | 83/115 [00:01<00:00, 61.83it/s, now=None] t: 78%|███████▊ | 90/115 [00:01<00:00, 60.95it/s, now=None] t: 84%|████████▍ | 97/115 [00:01<00:00, 55.96it/s, now=None] t: 90%|█████████ | 104/115 [00:01<00:00, 59.08it/s, now=None] t: 97%|█████████▋| 111/115 [00:01<00:00, 60.99it/s, now=None] Moviepy - Done ! Moviepy - video ready /tmp/tmptw5e6ugn/output.mp4 saving to /tmp/tmptw5e6ugn/output.mp4 Generating demo successful!
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