mirrors/gst-plugins-rs
mirrors/gst-plugins-rs
1
1
Fork 0
mirror of https://gitlab.freedesktop.org/gstreamer/gst-plugins-rs.git synced 2024-05-20 09:18:15 +00:00
Code Issues Projects Releases Wiki Activity

webrtcsink: NVIDIA V4L2 encoders always require NVMM memory

Browse source 
And if the input is not like that then a corresponding converter must be
inserted.

Part-of: <https://gitlab.freedesktop.org/gstreamer/gst-plugins-rs/-/merge_requests/1283>
This commit is contained in:
Sebastian Dröge 2023-07-18 15:18:08 +03:00 committed by GStreamer Marge Bot
parent 0e26077722
commit d4b3827efa
1 changed files with 24 additions and 18 deletions
Show stats Download patch file Download diff file Expand all files Collapse all files

42
net/webrtc/src/webrtcsink/imp.rs
View file

@ -360,7 +360,7 @@ impl Default for State {
}
}
fn make_converter_for_video_caps(caps: &gst::Caps) -> Result<gst::Element, Error> {
fn make_converter_for_video_caps(caps: &gst::Caps, codec: &Codec) -> Result<gst::Element, Error> {
assert!(caps.is_fixed());
let video_info = gst_video::VideoInfo::from_caps(caps)?;
@ -369,7 +369,27 @@ fn make_converter_for_video_caps(caps: &gst::Caps) -> Result<gst::Element, Error
let (head, mut tail) = {
if let Some(feature) = caps.features(0) {
if feature.contains(CUDA_MEMORY_FEATURE) {
if feature.contains(NVMM_MEMORY_FEATURE)
// NVIDIA V4L2 encoders require NVMM memory as input and that requires using the
// corresponding converter
|| codec
.encoder_factory()
.map_or(false, |factory| factory.name().starts_with("nvv4l2"))
{
let queue = make_element("queue", None)?;
let nvconvert = if let Ok(nvconvert) = make_element("nvvideoconvert", None) {
nvconvert.set_property_from_str("compute-hw", "Default");
nvconvert.set_property_from_str("nvbuf-memory-type", "nvbuf-mem-default");
nvconvert
} else {
make_element("nvvidconv", None)?
};
ret.add_many([&queue, &nvconvert])?;
gst::Element::link_many([&queue, &nvconvert])?;
(queue, nvconvert)
} else if feature.contains(CUDA_MEMORY_FEATURE) {
if let Some(convert_factory) = gst::ElementFactory::find("cudaconvert") {
let cudaupload = make_element("cudaupload", None)?;
let cudaconvert = convert_factory.create().build()?;
@ -403,20 +423,6 @@ fn make_converter_for_video_caps(caps: &gst::Caps) -> Result<gst::Element, Error
gst::Element::link_many([&glupload, &glconvert, &glscale])?;
(glupload, glscale)
} else if feature.contains(NVMM_MEMORY_FEATURE) {
let queue = make_element("queue", None)?;
let nvconvert = if let Ok(nvconvert) = make_element("nvvideoconvert", None) {
nvconvert.set_property_from_str("compute-hw", "Default");
nvconvert.set_property_from_str("nvbuf-memory-type", "nvbuf-mem-default");
nvconvert
} else {
make_element("nvvidconv", None)?
};
ret.add_many([&queue, &nvconvert])?;
gst::Element::link_many([&queue, &nvconvert])?;
(queue, nvconvert)
} else {
let convert = make_element("videoconvert", None)?;
let scale = make_element("videoscale", None)?;
@ -619,7 +625,7 @@ impl EncodingChainBuilder {
let (raw_filter, encoder) = if needs_encoding {
elements.push(match self.codec.is_video() {
true => make_converter_for_video_caps(&self.input_caps)?.upcast(),
true => make_converter_for_video_caps(&self.input_caps, &self.codec)?.upcast(),
false => {
gst::parse_bin_from_description("audioresample ! audioconvert", true)?.upcast()
}
@ -2761,7 +2767,7 @@ impl BaseWebRTCSink {
let src = discovery_info.create_src();
let mut elements = vec![src.clone().upcast::<gst::Element>()];
let encoding_chain_src = if codec.is_video() && has_raw_input {
elements.push(make_converter_for_video_caps(&input_caps)?);
elements.push(make_converter_for_video_caps(&input_caps, &codec)?);
let capsfilter = make_element("capsfilter", Some("raw_capsfilter"))?;
elements.push(capsfilter.clone());