mtg/effnet-discogs 📝🖼️🔢❓ → 🖼️
About
An EfficientNet for music style classification by 400 styles from the Discogs taxonomy
Example Output
Output
Performance Metrics
65.63s
Prediction Time
99.55s
Total Time
All Input Parameters
{
"url": "https://www.youtube.com/watch?v=CHekNnySAfM",
"top_n": "10",
"output_format": "Visualization"
}
Input Parameters
- url
- YouTube URL to process (overrides audio input)
- audio
- Audio file to process
- top_n
- Top n music styles to show
- output_format
- Output either a bar chart visualization or a JSON blob
Output Schema
Output
Example Execution Logs
[youtube] CHekNnySAfM: Downloading webpage [youtube] CHekNnySAfM: Downloading player bd67d609 [download] Destination: /tmp/tmp5hp8fkyh/audio.webm [download] 0.0% of 3.82MiB at 7.33KiB/s ETA 08:53 [download] 0.1% of 3.82MiB at 21.97KiB/s ETA 02:57 [download] 0.2% of 3.82MiB at 51.24KiB/s ETA 01:16 [download] 0.4% of 3.82MiB at 109.68KiB/s ETA 00:35 [download] 0.8% of 3.82MiB at 88.27KiB/s ETA 00:43 [download] 1.6% of 3.82MiB at 76.81KiB/s ETA 00:50 [download] 3.2% of 3.82MiB at 73.03KiB/s ETA 00:51 [download] 5.0% of 3.82MiB at 68.01KiB/s ETA 00:54 [download] 6.6% of 3.82MiB at 67.48KiB/s ETA 00:54 [download] 8.3% of 3.82MiB at 68.29KiB/s ETA 00:52 [download] 10.1% of 3.82MiB at 69.88KiB/s ETA 00:50 [download] 12.1% of 3.82MiB at 69.50KiB/s ETA 00:49 [download] 13.8% of 3.82MiB at 70.00KiB/s ETA 00:48 [download] 15.7% of 3.82MiB at 69.33KiB/s ETA 00:47 [download] 17.3% of 3.82MiB at 69.45KiB/s ETA 00:46 [download] 19.2% of 3.82MiB at 70.08KiB/s ETA 00:45 [download] 21.1% of 3.82MiB at 69.75KiB/s ETA 00:44 [download] 22.8% of 3.82MiB at 69.95KiB/s ETA 00:43 [download] 24.7% of 3.82MiB at 69.37KiB/s ETA 00:42 [download] 26.3% of 3.82MiB at 69.24KiB/s ETA 00:41 [download] 28.0% of 3.82MiB at 69.47KiB/s ETA 00:40 [download] 29.9% of 3.82MiB at 69.07KiB/s ETA 00:39 [download] 31.5% of 3.82MiB at 69.07KiB/s ETA 00:38 [download] 33.3% of 3.82MiB at 69.38KiB/s ETA 00:37 [download] 35.2% of 3.82MiB at 69.21KiB/s ETA 00:36 [download] 36.9% of 3.82MiB at 69.35KiB/s ETA 00:35 [download] 38.7% of 3.82MiB at 69.73KiB/s ETA 00:34 [download] 40.7% of 3.82MiB at 69.65KiB/s ETA 00:33 [download] 42.5% of 3.82MiB at 69.82KiB/s ETA 00:32 [download] 44.4% of 3.82MiB at 69.56KiB/s ETA 00:31 [download] 46.0% of 3.82MiB at 69.57KiB/s ETA 00:30 [download] 47.8% of 3.82MiB at 69.80KiB/s ETA 00:29 [download] 49.8% of 3.82MiB at 69.65KiB/s ETA 00:28 [download] 51.4% of 3.82MiB at 69.72KiB/s ETA 00:27 [download] 53.3% of 3.82MiB at 69.48KiB/s ETA 00:26 [download] 54.9% of 3.82MiB at 69.43KiB/s ETA 00:25 [download] 56.6% of 3.82MiB at 69.56KiB/s ETA 00:24 [download] 58.5% of 3.82MiB at 69.36KiB/s ETA 00:23 [download] 60.2% of 3.82MiB at 69.37KiB/s ETA 00:22 [download] 61.9% of 3.82MiB at 69.54KiB/s ETA 00:21 [download] 63.9% of 3.82MiB at 69.42KiB/s ETA 00:20 [download] 65.6% of 3.82MiB at 69.48KiB/s ETA 00:19 [download] 67.4% of 3.82MiB at 69.68KiB/s ETA 00:18 [download] 69.4% of 3.82MiB at 69.62KiB/s ETA 00:17 [download] 71.1% of 3.82MiB at 69.71KiB/s ETA 00:16 [download] 73.0% of 3.82MiB at 69.54KiB/s ETA 00:15 [download] 74.6% of 3.82MiB at 69.53KiB/s ETA 00:14 [download] 76.4% of 3.82MiB at 69.66KiB/s ETA 00:13 [download] 78.3% of 3.82MiB at 69.58KiB/s ETA 00:12 [download] 80.0% of 3.82MiB at 69.64KiB/s ETA 00:11 [download] 81.9% of 3.82MiB at 69.44KiB/s ETA 00:10 [download] 83.4% of 3.82MiB at 69.40KiB/s ETA 00:09 [download] 85.2% of 3.82MiB at 69.48KiB/s ETA 00:08 [download] 87.0% of 3.82MiB at 69.67KiB/s ETA 00:07 [download] 89.1% of 3.82MiB at 69.66KiB/s ETA 00:06 [download] 90.9% of 3.82MiB at 69.45KiB/s ETA 00:05 [download] 92.4% of 3.82MiB at 69.69KiB/s ETA 00:04 [download] 94.6% of 3.82MiB at 69.55KiB/s ETA 00:03 [download] 96.3% of 3.82MiB at 69.56KiB/s ETA 00:02 [download] 98.1% of 3.82MiB at 69.67KiB/s ETA 00:01 [download] 100.0% of 3.82MiB at 69.70KiB/s ETA 00:00 [download] 100% of 3.82MiB in 00:56 [ffmpeg] Destination: /tmp/tmp5hp8fkyh/audio.wav Deleting original file /tmp/tmp5hp8fkyh/audio.webm (pass -k to keep) running the inference network... 2022-03-16 13:55:58.101663: I tensorflow/core/platform/profile_utils/cpu_utils.cc:114] CPU Frequency: 2299995000 Hz plotting... done!
Version Details
- Version ID
1532dd069fb4f0e27c6833e28815f6b8c194dfec76fd9cd73460540fd720ffe1- Version Created
- May 25, 2023