mirror of
https://github.com/zoriya/Kyoo.git
synced 2025-05-24 02:02:36 -04:00
108 lines
3.9 KiB
Go
108 lines
3.9 KiB
Go
package src
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import (
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"log"
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"os"
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)
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func DetectHardwareAccel() HwAccelT {
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name := GetEnvOr("GOCODER_HWACCEL", "disabled")
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if name == "disabled" {
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name = GetEnvOr("GOTRANSCODER_HWACCEL", "disabled")
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}
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log.Printf("Using hardware acceleration: %s", name)
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// superfast or ultrafast would produce a file extremly big so we prever to ignore them. Fast is available on all hw accel modes
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// so we use that by default.
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// vaapi does not have any presets so this flag is unused for vaapi hwaccel.
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preset := GetEnvOr("GOCODER_PRESET", "fast")
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switch name {
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case "disabled":
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return HwAccelT{
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Name: "disabled",
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DecodeFlags: []string{},
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EncodeFlags: []string{
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"-c:v", "libx264",
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"-preset", preset,
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// sc_threshold is a scene detection mechanisum used to create a keyframe when the scene changes
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// this is on by default and inserts keyframes where we don't want to (it also breaks force_key_frames)
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// we disable it to prevents whole scenes from behing removed due to the -f segment failing to find the corresonding keyframe
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"-sc_threshold", "0",
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// force 8bits output (by default it keeps the same as the source but 10bits is not playable on some devices)
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"-pix_fmt", "yuv420p",
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},
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// we could put :force_original_aspect_ratio=decrease:force_divisible_by=2 here but we already calculate a correct width and
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// aspect ratio in our code so there is no need.
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ScaleFilter: "scale=%d:%d",
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}
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case "nvidia":
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return HwAccelT{
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Name: "nvidia",
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DecodeFlags: []string{
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"-hwaccel", "cuda",
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// this flag prevents data to go from gpu space to cpu space
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// it forces the whole dec/enc to be on the gpu. We want that.
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"-hwaccel_output_format", "cuda",
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},
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EncodeFlags: []string{
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"-c:v", "h264_nvenc",
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"-preset", preset,
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// the exivalent of -sc_threshold on nvidia.
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"-no-scenecut", "1",
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// force 8bits output (by default it keeps the same as the source but 10bits is not playable on some devices)
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"-pix_fmt", "yuv420p",
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},
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// if the decode goes into system memory, we need to prepend the filters with "hwupload_cuda".
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// since we use hwaccel_output_format, decoded data stays in gpu memory so we must not specify it (it errors)
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ScaleFilter: "scale_cuda=%d:%d",
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}
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case "vaapi":
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return HwAccelT{
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Name: name,
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DecodeFlags: []string{
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"-hwaccel", "vaapi",
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"-hwaccel_device", GetEnvOr("GOCODER_VAAPI_RENDERER", "/dev/dri/renderD128"),
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"-hwaccel_output_format", "vaapi",
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},
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EncodeFlags: []string{
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// h264_vaapi does not have any preset or scenecut flags.
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"-c:v", "h264_vaapi",
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},
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// if the hardware decoder could not work and fallbacked to soft decode, we need to instruct ffmpeg to
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// upload back frames to gpu space (after converting them)
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// see https://trac.ffmpeg.org/wiki/Hardware/VAAPI#Encoding for more info
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// we also need to force the format to be nv12 since 10bits is not supported via hwaccel.
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// this filter is equivalent to this pseudocode:
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// if (vaapi) {
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// hwupload, passthrough, keep vaapi as is
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// convert whatever to nv12 on GPU
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// } else {
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// convert whatever to nv12 on CPU
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// hwupload to vaapi(nv12)
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// convert whatever to nv12 on GPU // scale_vaapi doesn't support passthrough option, so it has to make a copy
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// }
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// See https://www.reddit.com/r/ffmpeg/comments/1bqn60w/hardware_accelerated_decoding_without_hwdownload/ for more info
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ScaleFilter: "format=nv12|vaapi,hwupload,scale_vaapi=%d:%d:format=nv12",
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}
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case "qsv", "intel":
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return HwAccelT{
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Name: name,
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DecodeFlags: []string{
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"-hwaccel", "qsv",
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// "-qsv_device", GetEnvOr("GOCODER_QSV_RENDERER", "/dev/dri/renderD128"),
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"-hwaccel_output_format", "qsv",
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},
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EncodeFlags: []string{
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"-c:v", "h264_qsv",
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"-preset", preset,
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},
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ScaleFilter: "scale_qsv=%d:%d",
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}
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default:
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log.Printf("No hardware accelerator named: %s", name)
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os.Exit(2)
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panic("unreachable")
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}
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}
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