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Title | PyTorchVideo · A deep learning library for video understanding |
Description | A deep learning library for video understanding |
Keywords | N/A |
WebSite | pytorchvideo.org |
Host IP | 172.67.180.32 |
Location | United States |
Site | Rank |
US$3,646,384
Last updated: 2023-04-26 23:06:28
pytorchvideo.org has Semrush global rank of 2,902,685. pytorchvideo.org has an estimated worth of US$ 3,646,384, based on its estimated Ads revenue. pytorchvideo.org receives approximately 420,737 unique visitors each day. Its web server is located in United States, with IP address 172.67.180.32. According to SiteAdvisor, pytorchvideo.org is safe to visit. |
Purchase/Sale Value | US$3,646,384 |
Daily Ads Revenue | US$3,366 |
Monthly Ads Revenue | US$100,977 |
Yearly Ads Revenue | US$1,211,722 |
Daily Unique Visitors | 28,050 |
Note: All traffic and earnings values are estimates. |
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pytorchvideo.org. | A | 299 | IP: 172.67.180.32 |
pytorchvideo.org. | A | 299 | IP: 104.21.67.192 |
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pytorchvideo.org. | AAAA | 299 | IPV6: 2606:4700:3036::6815:43c0 |
pytorchvideo.org. | NS | 86400 | NS Record: edna.ns.cloudflare.com. |
pytorchvideo.org. | NS | 86400 | NS Record: norm.ns.cloudflare.com. |
pytorchvideo.org. | TXT | 300 | TXT Record: v=spf1 a -all |
PyTorchVideo Tutorials Docs GitHub A deep learning library for video understanding research Get Started Tutorials GitHub Based on PyTorch Built using PyTorch. Makes it easy to use all the PyTorch-ecosystem components. Reproducible Model Zoo Variety of state of the art pretrained video models and their associated benchmarks that are ready to use. Efficient Video Components Video-focused fast and efficient components that are easy to use. Supports accelerated inference on hardware. Get Started Install pytorchvideo (Confirm requirements following the instructions here ) pip install pytorchvideo Try Video classification with Model Zoo (For detailed instructions, refer to the PyTorchVideo Model Zoo Inference Tutorial # Import all the required components ... # Load pre-trained model model = torch.hub.load( ’facebookresearch/pytorchvideo’ , ’slow_r50’ , pretrained= True ) # Load video video = EncodedVideo.from_path( ’some_video.avi’ ) # Compose video data transforms transform = |
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Domain Name: PYTORCHVIDEO.ORG Registry Domain ID: D402200000013861507-LROR Registrar WHOIS Server: whois.markmonitor.com Registrar URL: http://www.markmonitor.com Updated Date: 2021-05-15T09:09:01Z Creation Date: 2020-06-15T16:47:44Z Registry Expiry Date: 2023-06-15T16:47:44Z Registrar: MarkMonitor Inc. Registrar IANA ID: 292 Registrar Abuse Contact Email: abusecomplaints@markmonitor.com Registrar Abuse Contact Phone: +1.2083895740 Domain Status: clientDeleteProhibited https://icann.org/epp#clientDeleteProhibited Domain Status: clientTransferProhibited https://icann.org/epp#clientTransferProhibited Domain Status: clientUpdateProhibited https://icann.org/epp#clientUpdateProhibited Registrant Organization: Facebook, Inc. Registrant State/Province: CA Registrant Country: US Name Server: EDNA.NS.CLOUDFLARE.COM Name Server: NORM.NS.CLOUDFLARE.COM DNSSEC: unsigned URL of the ICANN Whois Inaccuracy Complaint Form https://www.icann.org/wicf/) >>> Last update of WHOIS database: 2021-09-08T21:43:51Z <<< |