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PyNvVideoCodec

PyNvVideoCodec is NVIDIA's Python-based library that provides simple yet powerful Python APIs for hardware-accelerated video encoding and decoding on NVIDIA GPUs.

PyNvVideoCodec is built on top of the Video Codec SDK and offers encode, decode, and transcode performance on par with it.

The library is distributed under MIT license and is officially supported by NVIDIA.

Features

Current PyNvVideoCodec version supports following features:

Decode Features

Decode statistics extraction: Enables extraction of low-level decode statistics—such as QP values, coding-unit types, and motion vectors—from H.264 and H.265 streams. These statistics provide valuable insights into video quality, content complexity, and encoder behaviour.
Seek and frame sampling: Provides efficient and flexible methods for fetching video frames in various modes, including sequential, random, periodic, indexed, batched, and sliced, as well as at a specified target frame rate.
Decoder caching: Optimizes decoding of short video clips through decoder caching and reconfiguration.
Threaded decoder: Supports decoding on separate threads, delivering pre-decoded frames with near-zero latency, enabling high-performance video processing pipelines.
Video processing from buffer: Supports video processing from memory buffers, reducing I/O overhead, enabling streaming applications.
Low latency decode: Offers zero-latency decoding for video sequences that do not contain B-frames.
SEI extraction: Supports the extraction of Supplemental Enhancement Information (SEI) messages, allowing access to additional information such as HDR information, timecodes, and custom user data.
Stream metadata access: Enables access to stream metadata, including frame width, height, bit depth, and keyframe indices, to enhance content management.
GIL handling: Improved multithreaded performance through better handling of Global Interpreter Lock (GIL) in C++ layer.
Multi-GPU decode: Enables multi-GPU decoding to efficiently handle larger workloads.
Extended codec support: Supports codecs H.264, HEVC, AV1, VP8, VP9, VC1, MPEG4, MPEG2, and MPEG1
4:2:2 decode: Supports 4:2:2 decoding for both H.264 and HEVC formats on Blackwell GPUs (NV16, P210 and P216 surface formats).
Extended output formats : Decode to various output formats including NV12, YUV420, YUV444, NV16, P010, P016 and RGB24(interleaved and planar)

Encode Features

Encoder reconfiguration: Supports encoder reconfiguration, enabling dynamic updating of encoding parameters without recreating encoder instances.
SEI insertion: Allows insertion of SEI messages during encoding.
GIL handling: Improved multithreaded performance through better handling of Global Interpreter Lock (GIL) in C++ layer.
Multi-GPU encode: Enables multi-GPU encoding to efficiently handle larger workloads.
Codec support: Support encoding to codec H.264, HEVC, and AV1.
4:2:2 encode: Supports 4:2:2 encoding for both H.264 and HEVC formats on Blackwell GPUs (NV16 and P210 surface formats).
Extended input formats: Encode from various input formats including NV12, YV12, IYUV, YUV444, YUV420_10BIT, YUV444_10BIT, NV16, P210, ARGB, ABGR, ARGB10, and ABGR10.

Transcode Features

Segment-based transcode: Enables transcoding of video segments based on timestamp ranges, ideal for content editing and partial processing.

What's New

v 2.1 (Latest)

\n
Decode statistics extraction: Enables extraction of low-level decode statistics—such as QP values, coding-unit types, and motion vectors—from H.264 and H.265 streams. These statistics provide valuable insights into video quality, content complexity, and encoder behaviour.
\n
\n
Jupyter notebooks: Added two step-by-step, interactive Jupyter notebook tutorials—one demonstrating the SimpleDecoder API for easy video decoding and flexible frame sampling, and another showcasing the use of ThreadedDecoder in a real-world deep-learning object detection workflow.
\n
\n
Enhanced sample applications: Simplified, restructured and enhanced sample applications along with documentation to help developers learn, experiment, and build faster.
\n
\n
Enhanced Documentation: Comprehensive API reference and programming guide, enriched with practical code snippets to help developers quickly understand and use the library.
\n

Distribution

PyNvVideoCodec library is distributed in two formats: binary distribution via PyPI and source code distribution via NVIDIA NGC. In both cases, the library and its dependencies can be installed using a single pip install command.

This package on PyPI contains Python WHLs of the PyNvVideoCodec library and sample applications that demonstrate the use of the PyNvVideoCodec API. To install these please open the shell prompt, and run the following command.

$ pip install pynvvideocodec\n

Sample Applications and Documents

A package containing PyNvVideoCodec source code, Python sample applications and documentation can be downloaded from NVIDIA NGC.
For your convenience, the documents are also accessible online at PyNvVideoCodec Online Documentation.

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These statistics provide valuable insights into video quality, content complexity, and encoder behaviour.\n* **Seek and frame sampling:** Provides efficient and flexible methods for fetching video frames in various modes, including sequential, random, periodic, indexed, batched, and sliced, as well as at a specified target frame rate. \n* **Decoder caching:** Optimizes decoding of short video clips through decoder caching and reconfiguration. \n* **Threaded decoder:** Supports decoding on separate threads, delivering pre-decoded frames with near-zero latency, enabling high-performance video processing pipelines. \n* **Video processing from buffer:** Supports video processing from memory buffers, reducing I/O overhead, enabling streaming applications. \n* **Low latency decode:** Offers zero-latency decoding for video sequences that do not contain B-frames. \n* **SEI extraction:** Supports the extraction of Supplemental Enhancement Information (SEI) messages, allowing access to additional information such as HDR information, timecodes, and custom user data. \n* **Stream metadata access:** Enables access to stream metadata, including frame width, height, bit depth, and keyframe indices, to enhance content management. \n* **GIL handling:** Improved multithreaded performance through better handling of Global Interpreter Lock (GIL) in C++ layer. \n* **Multi-GPU decode:** Enables multi-GPU decoding to efficiently handle larger workloads. \n* **Extended codec support:** Supports codecs H.264, HEVC, AV1, VP8, VP9, VC1, MPEG4, MPEG2, and MPEG1 \n* **4:2:2 decode:** Supports 4:2:2 decoding for both H.264 and HEVC formats on Blackwell GPUs (NV16, P210 and P216 surface formats). \n* **Extended output formats :** Decode to various output formats including NV12, YUV420, YUV444, NV16, P010, P016 and RGB24(interleaved and planar)\n\n \n\n### **Encode Features**\n\n* **Encoder reconfiguration:** Supports encoder reconfiguration, enabling dynamic updating of encoding parameters without recreating encoder instances. \n* **SEI insertion:** Allows insertion of SEI messages during encoding. \n* **GIL handling:** Improved multithreaded performance through better handling of Global Interpreter Lock (GIL) in C++ layer. \n* **Multi-GPU encode:** Enables multi-GPU encoding to efficiently handle larger workloads. \n* **Codec support:** Support encoding to codec H.264, HEVC, and AV1. \n* **4:2:2 encode:** Supports 4:2:2 encoding for both H.264 and HEVC formats on Blackwell GPUs (NV16 and P210 surface formats). \n* **Extended input formats:** Encode from various input formats including NV12, YV12, IYUV, YUV444, YUV420\\_10BIT, YUV444\\_10BIT, NV16, P210, ARGB, ABGR, ARGB10, and ABGR10.\n\n \n\n### **Transcode Features**\n\n* **Segment-based transcode:** Enables transcoding of video segments based on timestamp ranges, ideal for content editing and partial processing.\n\n## **What's New**\n\n### **v 2.1 (Latest)**\n\n* **Decode statistics extraction:** Enables extraction of low-level decode statistics—such as QP values, coding-unit types, and motion vectors—from H.264 and H.265 streams. These statistics provide valuable insights into video quality, content complexity, and encoder behaviour.\n\n* **Jupyter notebooks:** Added two step-by-step, interactive Jupyter notebook tutorials—one demonstrating the SimpleDecoder API for easy video decoding and flexible frame sampling, and another showcasing the use of ThreadedDecoder in a real-world deep-learning object detection workflow.\n\n* **Enhanced sample applications:** Simplified, restructured and enhanced sample applications along with documentation to help developers learn, experiment, and build faster.\n\n* **Enhanced Documentation:** Comprehensive API reference and programming guide, enriched with practical code snippets to help developers quickly understand and use the library.\n\n## **Distribution**\n\nPyNvVideoCodec library is distributed in two formats: binary distribution via [PyPI](https://pypi.org/project/pynvvideocodec/) and source code distribution via [NVIDIA NGC](https://catalog.ngc.nvidia.com/orgs/nvidia/resources/pynvvideocodec). In both cases, the library and its dependencies can be installed using a single pip install command.\n\nThis package on PyPI contains Python WHLs of the PyNvVideoCodec library and sample applications that demonstrate the use of the PyNvVideoCodec API. To install these please open the shell prompt, and run the following command.\n\n```py\n$ pip install pynvvideocodec\n```\n\n## **Sample Applications and Documents**\n\n* A package containing PyNvVideoCodec source code, Python sample applications and documentation can be downloaded from [NVIDIA NGC](https://catalog.ngc.nvidia.com/orgs/nvidia/resources/pynvvideocodec). \n* For your convenience, the documents are also accessible online at [PyNvVideoCodec Online Documentation](https://docs.nvidia.com/video-technologies/pynvvideocodec/index.html).","displayName","PyNvVideoCodec",["D",1769793383279],"publisher","NVIDIA","latestVersion","versions","collectionCounts","imageUrl","/api/image/nvidia/-/resources/pynvvideocodec","rawImageUrl","canGuestDownload","latestVersionSizeInBytes",110562187,"licenseTerms","isMultinodeEnabled","isMultiArchitecture","bias","explainability","privacy","safetyAndSecurity","featureLabels",[],"displayLabels",[244,245,246,247,248,249,250,251,252,253,254,255,256,257,258,259,260,261],"policyLabels",[],"systemLabels",[],"products",[],"hasNimMetadata",{"_212":321,"_263":322,"_265":323,"_267":268},{"_212":318,"_263":319,"_265":320,"_267":268},{"_212":315,"_263":316,"_265":317,"_267":268},{"_212":312,"_263":313,"_265":314,"_267":268},{"_212":309,"_263":310,"_265":311,"_267":268},{"_212":306,"_263":307,"_265":308,"_267":268},{"_212":303,"_263":304,"_265":305,"_267":268},{"_212":300,"_263":301,"_265":302,"_267":268},{"_212":297,"_263":298,"_265":299,"_267":268},{"_212":294,"_263":295,"_265":296,"_267":268},{"_212":290,"_263":291,"_265":292,"_267":268},{"_212":288,"_263":288,"_265":289,"_267":268},{"_212":285,"_263":286,"_265":287,"_267":268},{"_212":282,"_263":282,"_265":283,"_267":268},{"_212":278,"_263":279,"_265":280,"_267":268},{"_212":275,"_263":276,"_265":277,"_267":268},{"_212":271,"_263":272,"_265":273,"_267":268},{"_212":262,"_263":264,"_265":266,"_267":268},"Vision 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We and our advertising partners will use this information to make our websites and the advertising displayed on it, more relevant to your interests.",[548,549,550,551,552,553,554,555,556,557,558,559,560,561,562,563,564,565,566,567,568,569,570,571,572,573,574,575,576,577,578,579,580,581,582],[421,422,423,424,425,426,427,428,429,430,431,432,433,434,435,436,437],{"_438":544,"_212":544,"_161":175,"_412":545},{"_438":539,"_212":539,"_161":175,"_412":540},{"_438":535,"_212":535,"_161":175,"_412":536},{"_438":530,"_212":530,"_161":175,"_412":531},{"_438":525,"_212":525,"_161":175,"_412":526},{"_438":513,"_212":513,"_161":175,"_412":514},{"_438":501,"_212":501,"_161":175,"_412":502},{"_438":496,"_212":496,"_161":175,"_412":497},{"_438":485,"_212":485,"_161":175,"_412":486},{"_438":480,"_212":480,"_161":175,"_412":481},{"_438":475,"_212":475,"_161":175,"_412":476},{"_438":470,"_212":470,"_161":175,"_412":471},{"_438":465,"_212":465,"_161":175,"_412":466},{"_438":460,"_212":460,"_161":175,"_412":461},{"_438":455,"_212":455,"_161":175,"_412":456},{"_438":448,"_212":448,"_161":175,"_412":449},{"_438":439,"_212":439,"_161":175,"_412":440},"hostName","amazon-adsystem.com",[441,442],{"_76":447,"_444":439,"_445":30,"_161":446},{"_76":443,"_444":439,"_445":30,"_161":446},"ad-privacy","host","isSession","This domain is owned by online retailer Amazon and is used as part of its affiliate marketing programme.","ad-id","doubleclick.net",[450,451],{"_76":454,"_444":448,"_445":30,"_161":453},{"_76":452,"_444":448,"_445":30,"_161":453},"IDE","This domain is owned by Doubleclick (Google). 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It is used as a URL shortening service, which allows Twitter to collect data on how links are shared.","snowplow.com",[477],{"_76":478,"_444":475,"_445":30,"_161":479},"sp","Testing","google.com",[482],{"_76":483,"_444":480,"_445":30,"_161":484},"NID","This domain is owned by Google Inc. Although Google is primarily known as a search engine, the company provides a diverse range of products and services. Its main source of revenue however is advertising. Google tracks users extensively both through its own products and sites, and the numerous technologies embedded into many millions of websites around the world. It uses the data gathered from most of these services to profile the interests of web users and sell advertising space to organisations based on such interest profiles as well as aligning adverts to the content on the pages where its customer's adverts appear.","tags.srv.stackadapt.com",[487,488,489,490],{"_76":495,"_444":485,"_445":30,"_161":492},{"_76":494,"_444":485,"_445":30,"_161":492},{"_76":493,"_444":485,"_445":30,"_161":492},{"_76":491,"_444":485,"_445":30,"_161":492},"sa-user-id-v3","This domain is associated with StackAdapt, a platform for programmatic advertising, which suggests that it is used for targeting and advertising purposes.","sa-user-id","sa-user-id-v2","sa-user-id-v4","linkedin.com",[498],{"_76":499,"_444":496,"_445":30,"_161":500},"bcookie","This domain is owned by LinkedIn, the business networking platform. It typically acts as a third party host where website owners have placed one of its content sharing buttons in their pages, although its content and services can be embedded in other ways. Although such buttons add functionality to the website they are on, cookies are set regardless of whether or not the visitor has an active Linkedin profile, or agreed to their terms and conditions. For this reason it is classified as a primarily tracking/targeting domain.","twitter.com",[503,504,505,506],{"_76":512,"_444":501,"_445":30,"_161":508},{"_76":510,"_444":501,"_445":30,"_161":511},{"_76":509,"_444":501,"_445":30,"_161":508},{"_76":507,"_444":501,"_445":30,"_161":508},"personalization_id","This domain is owned by Twitter. The main business activity is: Social Networking Services. Where twitter acts as a third party host, it collects data through a range of plug-ins and integrations, that is primarily used for tracking and targeting.","guest_id_marketing","guest_id","Twitter does not currently provide information on the use of specific cookies.","guest_id_ads","youtube.com",[515,516,517,518],{"_76":524,"_444":513,"_445":30,"_161":522},{"_76":523,"_444":513,"_445":30,"_161":522},{"_76":521,"_444":513,"_445":30,"_161":522},{"_76":519,"_444":513,"_445":30,"_161":520},"VISITOR_INFO1_LIVE","This cookie is used as a unique identifier to track viewing of videos","__Secure-YNID","YouTube is a Google owned platform for hosting and sharing videos. YouTube collects user data through videos embedded in websites, which is aggregated with profile data from other Google services in order to display targeted advertising to web visitors across a broad range of their own and other websites.","__Secure-YEC","__Secure-ROLLOUT_TOKEN","demdex.net",[527],{"_76":528,"_444":525,"_445":30,"_161":529},"demdex","This cookie helps Adobe Audience Manger perform basic functions such as visitor identification, ID synchronization, segmentation, modeling, reporting, etc.","im-apps.net",[532],{"_76":533,"_444":530,"_445":30,"_161":534},"receive-cookie-deprecation","This domain is owned by im-apps.net which provides information and resources about various instant messaging (IM) applications to help users make informed decisions based on their communication needs.","influ2.com",[537],{"_76":538,"_444":535,"_445":30,"_161":479},"R","6sc.co",[541],{"_76":542,"_444":539,"_445":30,"_161":543},"6suuid","This domain is associated with the company 6Sense Insights, Inc., which provides predictive analytics and account engagement services. 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It stores a unique visitor identifier, and uses an organisation identifier to allow a company to track users across their domains and services.This is a pattern type cookie name associated with Adobe Marketing Cloud. It stores a unique visitor identifier, and uses an organisation identifier.","kndctr_F207D74D549850760A4C98C6_AdobeOrg_identity","_rdt_pn","www.nvidia.com","This cookie name is associated with www.mind.org.uk which is used for marketing purposes.","ai-podcast.nvidia.com","This cookie is used to identify the user's session on the website and is often associated with analytics or personalization.","_gcl_au","Used by Google AdSense for experimenting with advertisement efficiency across websites using their services","_mkto_trk","This cookie is associated with an email marketing service provided by Marketo. This tracking cookie allows a website to link visitor behaviour to the recipient of an email marketing campaign, to measure campaign effectiveness.","_gat_gtag_UA_140825383_2","Google Analytics","_zitok","This cookie name is associated with ZoomInfo which is used to maintain a unique visitor identifier and store Personally Identifiable Information.","_rdt_uuid","This cookie is set by Reddit and is used for tracking the views of embedded videos and performance of the advertisements.","AMP_91bf70adfe","Supports Amplitude product analytics.","This cookie name is associated with StackAdapt Inc. which is used to support the effective management and optimization of digital advertising campaigns by handling information such as visitor actions on websites, visited pages, time spent, page load speed, and more.","build.nvidia.com","kndctr_F207D74D549850760A4C98C6_AdobeOrg_cluster","_cs_nnnnnnnnnnnnn","This is a session cookie. 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It is commonly used for analytics and personalization of content.","marketplace.nvidia.com","AMP_MKTG_92dea1e784","This cookie is typically associated with SnackTools, which is a suite of web applications for creating and sharing multimedia content. It is used to identify a user across sessions and track user activities.","forums.developer.nvidia.com","This cookie is typically associated with the use of Taptap Digital, a company specializing in digital advertising. It is used for tracking and ad personalization purposes.","_tt_enable_cookie","This cookie name is associated with TikTok which is used to collect data about behavior and purchases on the website and to measure the effect of advertising. It is also used to track website activity to help optimize advertising efforts.","AMCV_xxxxxAdobeOrg","This cookie is used to identify a unique visitor for tracking purposes by Adobe Experience Cloud.This is a pattern type cookie name associated with Adobe Marketing Cloud. It stores a unique visitor identifier, and uses an organisation identifier to allow a company to track users across their domains and services.","ttcsid","This cookie name is associated with TikTok which is used to enable TikTok Ads session tracking by assigning a unique session ID to users who click on TikTok ads, allowing for the attribution of user behavior and conversions within the same session.This cookie is associated with TikTok. It helps track your activity on the platform, including how you interact with their embedded services on other websites.","AMP_MKTG_91bf70adfe","C0003","Personalization Cookies","These cookies collect data about how you have interacted with our website to help us improve your web experience, such as which pages you have visited. These cookies may store a unique ID so that our system will remember you when you return. They may be set by us or by third party providers whose services we have added to our pages. These cookies enable us to provide enhanced website functionality and personalization as well as make the marketing messages we send to you more relevant to your interests. If you do not allow these cookies, then some or all of these services may not function properly.",[670,671,672,673,674,675,676,677,678,679,680,681,682,683,684,685,686,687,688,689,690],[635,636,637,638,639],{"_438":530,"_212":530,"_161":175,"_412":661},{"_438":496,"_212":496,"_161":175,"_412":656},{"_438":649,"_212":649,"_161":175,"_412":650},{"_438":645,"_212":645,"_161":175,"_412":646},{"_438":640,"_212":640,"_161":175,"_412":641},"nvcrm.my.site.com",[642],{"_76":643,"_444":640,"_445":30,"_161":644},"BrowserId","If you know anything about this cookie and its uses that are not specific to a particular site please add your contributions.","nvidia.partners",[647],{"_76":648,"_444":645,"_445":30,"_161":479},"edge","github.com",[651,652],{"_76":655,"_444":649,"_445":30,"_161":654},{"_76":653,"_444":649,"_445":30,"_161":654},"logged_in","This domain is owned by Github. 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We have categorized it under Functionality because it is necessary for the operation of our affiliate program.","nv.modal.cuda","This cookie name suggests it is related to a modal popup functionality on NVIDIA's website, possibly to remember user preferences or interactions with the modal.","readme_library","docs.api.nvidia.com","_im_ses.1006927","geo_locator","nv.modal.deepstream","openedx-language-preference","learn.nvidia.com","doxygen_width","raytracing-docs.nvidia.com","This cookie is likely used to remember the width preferences of a sidebar or interface element within a documentation platform like Doxygen.","_sfid_eb78","This cookie is categorized as Functionality Cookie.","_im_id.1006927","_hjUserAttributesHash","docs.nvidia.com","This cookie name is associated with Hotjar which is used to know when any user attribute has changed and needs to be updated.","mbox","Cookie set by Adobe SiteCatalyst analytics software - used for measuring the performance of page content using A/B split testing","nv.modal.cudnn","This cookie name suggests it is related to modal popup handling or user interface preferences on NVIDIA's website, specifically for the cuDNN library section.","readme_language","nv.modal.hpc","This cookie name suggests it is related to a modal pop-up on a website, possibly to control the display of a high-priority cookie notice or other important information to the user.","at_check","Used by Adobe Target to check if cookies are enabled/supported on the browser","_biz_uid","This cookie is used to record website and server performance with each visit to the site. The data is aggregated and analyzed; therefore, it remains anonymous upon use.\n","nvHeadless","This cookie is likely used to track if a user is using the site in a 'headless' non-GUI mode, which could be for accessibility reasons or for automated processes.","_biz_nA","C0002","Performance Cookies","These cookies are used to provide quantitative measures of our website visitors, such as the number of times you visit, time on page, your mouse movements, scrolling, clicks and keystroke activity on the websites; other browsing, search, or product research behavior; and what brought you to our site. These cookies may store a unique ID so that our system will remember you when you return. Information collected with these cookies is used to measure and find ways to improve website 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