Jetson Linux API Reference
32.7.5 Release
Sample Applications

This toolkit includes NVIDIA Multimedia API sample applications that you can use as building blocks to construct applications for your product use case, such as:

The sample applications demonstrate how to use the Multimedia API and other libraries, such as:

The following table describes the samples.

Directory Location Relative to ll_samples/samples Description
00_video_decode (video decode) Decodes H.264, H.265, VP8, VP9, MPEG4, and MPEG2 video from a local file and then shares the YUV buffer with egl renderer.
01_video_encode (video encode) Encodes YUV bitstream from local file and then write elementary H.264/H.265 into file.
02_video_dec_cuda (CUDA processing with decode) Decodes H.264/H.265 video from a local file and then shares the YUV buffer with CUDA to draw a black box in the left corner.
03_video_cuda_enc (CUDA processing with encode) Use CUDA to draw a black box in the YUV buffer and then feeds it to video encoder to generate an H.264/H.265 video file.
04_video_dec_trt (TensorRT video decode) Uses simple TensorRT calls to save the bounding box info to a file.
05_jpeg_encode (JPEG encode) Uses libjpeg-8b APIs to encode JPEG images from software-allocated buffers.
06_jpeg_decode (JPEG decode) Uses libjpeg-8b APIs to decode a JPEG image from software-allocated buffers.
07_video_convert (NvBuffer conversion) Uses V4L2 APIs to do video format conversion and video scaling.
08_video_dec_drm (Direct Rendering Manager) Uses the NVIDIA® Tegra® Direct Rendering Manager (DRM) to render video stream or UI.
09_camera_jpeg_capture (libargus & libjpeg-8b) Simultaneously uses Libargus API to preview camera stream and libjpeg-8b APIs to encode JPEG images.
10_camera_recording (libargus capture) Gets the real-time camera stream from the Libargus API and feeds it into the video encoder to generate H.264/H.265 video files.
12_camera_v4l2_cuda (camera capture CUDA processing) Captures images from a V4L2 camera and shares the stream with CUDA engines to draw a black box in the upper left corner.
13_multi_camera (multi image capture & composite) Captures multiple cameras and composites them to one frame.
14_multivideo_decode (multi video decode) Decodes multiple H.264, H.265, VP8, VP9, MPEG4, and MPEG2 videos from local files and writes YUV buffer into corresponding files.
15_multivideo_encode (multi video encode) Encodes multiple YUV bitstreams from local files and writes elementary H.264/H.265/VP8/VP9 into corresponding files.
16_multivideo_encode (multi video transcode) Transcodes multiple bitstreams from local files and writes elementary H.264/H.265/VP8/VP9 into corresponding files.
unittest_samples/camera_unit_sample (capture with libv4l2_nvargus) Unit level sample; uses libv4l2_nvargus to preview camera stream.
unittest_samples/decoder_unit_sample (video decode unit sample) Unit level sample; decodes H.264 video from a local file and dumps the raw YUV buffer.
unittest_samples/encoder_unit_sample (video encode unit samples) Unit level sample; encodes YUV bitstream from a local file and writes elementary H.264 bitstream into file.
unittest_samples/transform_unit_sample (nvbuf_utils pixel format conversion) Unit level sample; uses nvbuf_utils utility to convert one colorspace YUV bitstream to another.
backend (video analytics) Performs intelligent video analytics on four concurrent video streams going through a decoding process using the on chip decoders, video scaling using on chip scalar, and GPU compute.
frontend (TensorRT multichannel video capture) Performs independent processing on four different resolutions of video capture coming directly from camera.
v4l2cuda (CUDA format conversion) Uses V4L2 image capturing with CUDA format conversion.

L4T Software Stack

The following diagram illustrates the L4T software stack. Of the Multimedia box (center, bottom), the Multimedia API provides the following components:

With these components, you can access the other libraries, such as TensorRT and cuDNN.