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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

PyNvVideoCodec supports following features:

Decode Features

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.
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.
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 2.2.3 (Latest)

Windows on ARM64 support (NVIDIA RTX Spark): Brings native, hardware-accelerated Python video APIs to Windows on ARM64, enabling high-performance video and AI pipelines on NVIDIA RTX Spark.

v 2.2

NVIDIA Jetson support: Brings easy-to-use, GPU-accelerated Python video APIs to Jetson, making it easy to build video and AI pipelines for robotics and other edge devices.
NVIDIA DGX Spark support: Unlocks high-throughput, Python-based video decode and encode on DGX Spark, accelerating video curation, experimentation, prototyping, training, and deployment of video and AI pipelines.
Access to in-memory video data: Reads video directly from Python byte data and streams, allowing video input from network buffers or cloud storage (such as S3) without writing to temporary files, while still supporting random frame access and batch retrieval.
New samples:\n
- Face protection: Jupyter notebook that demonstrates an important privacy use case on Jetson—detecting faces in video with a TensorRT-optimized RetinaFace model and blurring them using GPU-accelerated Gaussian blur to protect identities in video.
- Video decode from memory: Illustrates decoding video directly from in-memory Python byte data and seekable binary streams (such as bytes, bytearray, memoryview, BytesIO, or file handles).
- Video transcode: Shows end-to-end GPU video transcoding—demuxing, decoding, encoding, and muxing—using hardware-accelerated video decode and encode.
- Video encode with muxing: The encode sample now shows how to write encoded video directly into container formats such as MP4 and MOV.
\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 NGC contains source code, benchmark scripts, all dependencies, Python sample applications, and documents.

To install these please download the latest zip package from NGC, open the bash/shell prompt from the same directory where zip was downloaded and run the following command, replacing \"PyNvVideoCodec.zip\" with the actual name of the downloaded zip file:

$pip install \"PyNvVideoCodec.zip\"\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* **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### **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### **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 2.2.3 (Latest)**\n\n* **Windows on ARM64 support (NVIDIA RTX Spark):** Brings native, hardware-accelerated Python video APIs to Windows on ARM64, enabling high-performance video and AI pipelines on NVIDIA RTX Spark.\n\n### **v 2.2**\n\n* **NVIDIA Jetson support:** Brings easy-to-use, GPU-accelerated Python video APIs to Jetson, making it easy to build video and AI pipelines for robotics and other edge devices.\n* **NVIDIA DGX Spark support:** Unlocks high-throughput, Python-based video decode and encode on DGX Spark, accelerating video curation, experimentation, prototyping, training, and deployment of video and AI pipelines.\n* **Access to in-memory video data:** Reads video directly from Python byte data and streams, allowing video input from network buffers or cloud storage (such as S3) without writing to temporary files, while still supporting random frame access and batch retrieval.\n* **New samples:**\n * **Face protection:** Jupyter notebook that demonstrates an important privacy use case on Jetson—detecting faces in video with a TensorRT-optimized RetinaFace model and blurring them using GPU-accelerated Gaussian blur to protect identities in video.\n * **Video decode from memory:** Illustrates decoding video directly from in-memory Python byte data and seekable binary streams (such as bytes, bytearray, memoryview, BytesIO, or file handles).\n * **Video transcode:** Shows end-to-end GPU video transcoding—demuxing, decoding, encoding, and muxing—using hardware-accelerated video decode and encode.\n * **Video encode with muxing:** The encode sample now shows how to write encoded video directly into container formats such as MP4 and MOV.\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 NGC contains source code, benchmark scripts, all dependencies, Python sample applications, and documents.\n\nTo install these please download the latest zip package from NGC, open the bash/shell prompt from the same directory where zip was downloaded and run the following command, replacing \"PyNvVideoCodec.zip\" with the actual name of the downloaded zip file:\n\n```py\n$pip install \"PyNvVideoCodec.zip\"\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 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They are capable of tracking your browser across other sites and building up a profile of your interests. This may impact the content and messages you see on other websites you visit. If you do not allow these cookies you may not be able to use or see these sharing tools.","alwaysActive","order",11,"cookies",[],"hosts",[],"C0004","Advertising Cookies","These cookies record your visit to our websites, the pages you have visited and the links you have followed to influence the advertisements that you see on other websites. These cookies and the information they collect may be managed by other companies, including our advertising partners, and may be used to build a profile of your interests and show you relevant advertising on other sites. We and our advertising partners will use this information to make our websites and the advertising displayed on it, more relevant to your interests.",[555,556,557,558,559,560,561,562,563,564,565,566,567,568,569,570,571,572,573,574,575,576],[440,441,442,443,444,445,446,447,448,449,450,451,452,453,454,455,456],{"_457":550,"_229":550,"_165":180,"_431":551},{"_457":546,"_229":546,"_165":180,"_431":547},{"_457":541,"_229":541,"_165":180,"_431":542},{"_457":537,"_229":537,"_165":180,"_431":538},{"_457":532,"_229":532,"_165":180,"_431":533},{"_457":527,"_229":527,"_165":180,"_431":528},{"_457":519,"_229":519,"_165":180,"_431":520},{"_457":511,"_229":511,"_165":180,"_431":512},{"_457":506,"_229":506,"_165":180,"_431":507},{"_457":501,"_229":501,"_165":180,"_431":502},{"_457":496,"_229":496,"_165":180,"_431":497},{"_457":491,"_229":491,"_165":180,"_431":492},{"_457":486,"_229":486,"_165":180,"_431":487},{"_457":479,"_229":479,"_165":180,"_431":480},{"_457":474,"_229":474,"_165":180,"_431":475},{"_457":467,"_229":467,"_165":180,"_431":468},{"_457":458,"_229":458,"_165":180,"_431":459},"hostName","amazon-adsystem.com",[460,461],{"_77":466,"_463":458,"_464":30,"_165":465},{"_77":462,"_463":458,"_464":30,"_165":465},"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",[469,470],{"_77":473,"_463":467,"_464":30,"_165":472},{"_77":471,"_463":467,"_464":30,"_165":472},"IDE","This domain is owned by Doubleclick (Google). 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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.","linkedin.com",[508],{"_77":509,"_463":506,"_464":30,"_165":510},"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. 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This tracking cookie allows a website to link visitor behaviour to the recipient of an email marketing campaign, to measure campaign effectiveness.","investor.nvidia.com","This cookie is associated with Eventbrite and is used to deliver content tailored to the end user's interests and improve content creation. This cookie is also used for event-booking purposes.","_gat_gtag_UA_140825383_2","Google Analytics","_rdt_uuid","This cookie is set by Reddit and is used for tracking the views of embedded videos and performance of the advertisements.","catalog.ngc.nvidia.com","_uetsid","This cookie is used by Bing to determine what ads should be shown that may be relevant to the end user perusing the site. ","kndctr_F207D74D549850760A4C98C6_AdobeOrg_bc_session_id","ttcsid_XXXXXXXXXXXXXXXXXXXXCategory","This cookie name is associated with TikTok which is used to track your activity on the platform, including how you interact with their embedded services on other websites.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.","_fbp","Used by Facebook to deliver a series of advertisement products such as real time bidding from third party advertisers","_zitok","_twpid","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. 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It helps track your activity on the platform, including how you interact with their embedded services on other websites.","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.",4,[648,649,650,651,652,653,654,655,656,657,658,659,660,661,662,663,664,665,666,667,668,669,670,671,672],[619,620,621,622,623],{"_457":532,"_229":532,"_165":180,"_431":643},{"_457":506,"_229":506,"_165":180,"_431":638},{"_457":633,"_229":633,"_165":180,"_431":634},{"_457":628,"_229":628,"_165":180,"_431":629},{"_457":624,"_229":624,"_165":180,"_431":625},"nvidia.partners",[626],{"_77":627,"_463":624,"_464":30,"_165":500},"edge","app.hushly.com",[630],{"_77":631,"_463":628,"_464":30,"_165":632},"*CORS","This domain is associated with Hushly, a platform that provides lead conversion solutions for content marketing by using personalization and content engagement strategies.","github.com",[635],{"_77":636,"_463":633,"_464":30,"_165":637},"_octo","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_country_code","developer.nvidia.com","This cookie is likely used to store the country code of the visitor to provide localized content and possibly for legal compliance with regional data privacy laws.","_gdxxxxxxxxxxxxx","nvidianews.nvidia.com","docs.api.nvidia.com","research.nvidia.com","readme_library","wcmmode","ai-podcast.nvidia.com","resources.nvidia.com","geo_locator","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.","crowdsource.nvidia.com","mbox","Cookie set by Adobe SiteCatalyst analytics software - used for measuring the performance of page content using A/B split testing","readme_language","vid","This cookie name 'vid' is used for tracking the search request made by the user on the 'Find a practitioner' page.","at_check","Used by Adobe Target to check if cookies are enabled/supported on the browser","blogs.nvidia.com","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.","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 performance.",[731,732,733,734,735,736,737,738,739,740,741,742,743,744,745,746,747,748,749,750,751,752,753,754,755,756,757,758,759],[711,712,713,714],{"_457":726,"_229":726,"_165":180,"_431":727},{"_457":721,"_229":721,"_165":180,"_431":722},{"_457":519,"_229":519,"_165":180,"_431":718},{"_457":633,"_229":633,"_165":180,"_431":715},[716],{"_77":717,"_463":633,"_464":85,"_165":637},"_gh_sess",[719],{"_77":720,"_463":519,"_464":85,"_165":526},"YSC","bizible.com",[723],{"_77":724,"_463":721,"_464":30,"_165":725},"_BUID","Bizible is a marketing attribution software that tracks the performance of marketing efforts and connects them to revenue, primarily used for B2B environments.","a.usbrowserspeed.com",[728],{"_77":729,"_463":726,"_464":30,"_165":730},"tuid","This domain is owned by Ookla which provides internet speed testing services through its Speedtest application.",{"_77":801,"_463":578,"_464":30,"_165":802},{"_77":786,"_463":800,"_464":85,"_165":787},{"_77":769,"_463":581,"_464":30,"_165":694},{"_77":769,"_463":682,"_464":30,"_165":694},{"_77":798,"_463":578,"_464":30,"_165":799},{"_77":786,"_463":584,"_464":85,"_165":787},{"_77":796,"_463":578,"_464":30,"_165":797},{"_77":786,"_463":581,"_464":85,"_165":787},{"_77":794,"_463":681,"_464":30,"_165":795},{"_77":786,"_463":703,"_464":85,"_165":787},{"_77":766,"_463":581,"_464":30,"_165":768},{"_77":792,"_463":578,"_464":85,"_165":793},{"_77":790,"_463":578,"_464":30,"_165":791},{"_77":788,"_463":578,"_464":85,"_165":789},{"_77":786,"_463":677,"_464":85,"_165":787},{"_77":784,"_463":578,"_464":30,"_165":785},{"_77":782,"_463":578,"_464":30,"_165":783},{"_77":780,"_463":578,"_464":85,"_165":781},{"_77":778,"_463":686,"_464":30,"_165":779},{"_77":766,"_463":677,"_464":30,"_165":768},{"_77":776,"_463":578,"_464":30,"_165":777},{"_77":774,"_463":578,"_464":85,"_165":775},{"_77":772,"_463":578,"_464":30,"_165":773},{"_77":770,"_463":578,"_464":30,"_165":771},{"_77":769,"_463":578,"_464":30,"_165":694},{"_77":766,"_463":767,"_464":30,"_165":768},{"_77":764,"_463":578,"_464":30,"_165":765},{"_77":762,"_463":578,"_464":85,"_165":763},{"_77":760,"_463":578,"_464":30,"_165":761},"_ga_xxxxxxxxxx","Used by Google Analytics to identify and track an individual session with your device.","s_ppvl","This cookie is set by Adobe Analytics to store information on the percentage of the page displayed to the end user.","coveo_visitorId","This cookie name is associated with Coveo which is used to store a unique user ID for marketing purposes and to track the number of distinct users who submitted a query or clicked an item, counting them only once even if they did the same query or clicked the same item over the course of many visits.","_dd_s","marketplace.nvidia.com","Datadog Cookie used to group all events generated from a unique user session across multiple pages. It contains the current session ID, whether the session is excluded due to sampling, and the expiration date of the session. The cookie is extended for an extra 15 minutes every time the user interacts with the website, up to the maximum user session duration (4 hours).","nvweb_A","_ga","This cookie name is associated with Google Universal Analytics - which is a significant update to Google's more commonly used analytics service. This cookie is used to distinguish unique users by assigning a randomly generated number as a client identifier. It is included in each page request in a site and used to calculate visitor, session and campaign data for the sites analytics reports. By default it is set to expire after 2 years, although this is customisable by website owners.","_uetvid","This is a cookie utilised by Microsoft Bing Ads and is a tracking cookie. It allows us to engage with a user that has previously visited our website.","tp","This cookie is associated with Adobe Analytics site tracking. It registers if the website's scroll-depth detection is active. This function remembers how far the user has scrolled on the current session across the website's sub-pages.","_hly_vid","This cookie _hly_vid 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.","_session_id","This cookie creates an interim session ID used as an in-session user ID.\n","s_cc","This cookie is associated with the Adobe Site Catalyst. It determines whether cookies are enabled in the web browser.","s_ecid","Adobe Analytics cookie containing the the Adobe Experience Cloud 1st party visitor id if the Analytics AMCV visitor id is not found.","_hjSessionUser_xxxxxx","Hotjar cookie that is set when a user first lands on a page with the Hotjar script. It is used to persist the Hotjar User ID, unique to that site on the browser. This ensures that behavior in subsequent visits to the same site will be attributed to the same user ID.","_hjHasCachedUserAttributes","This cookie name is associated with Hotjar which is used to know whether the data set in _hjUserAttributes Local Storage item is up to date or not.","s_ppv","This cookie is associated with Adobe Analytics site tracking and is used to measure a user's scroll activity to see how much of a page they view before moving to another page.","_gid","This cookie name is associated with Google Universal Analytics. This appears to be a new cookie and as of Spring 2017 no information is available from Google. It appears to store and update a unique value for each page visited.","_hjTLDTest","When the Hotjar script executes we try to determine the most generic cookie path we should use, instead of the page hostname. 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