tools+examples+test: end-to-end pipeline ready (Steps 9-10)

cuframes-rtsp-source — standalone bridge между RTSP/file и cuframes IPC.
Декодирует на CUDA (nvdec), копирует D2D в pre-allocated pool (EXTERNAL
ownership), публикует через cuframes. --realtime для pacing файлового
ввода, --loop для зацикливания. Альтернатива FFmpeg-фильтра до v0.2
(filter требует patch FFmpeg, конфликтует с Frigate's bundled build).

examples/sub_count — reference subscriber на raw C API: counts frames,
trackit gaps, выходит clean при disconnect/timeout/SIGINT.

test_stress (4 subscribers × 2000 frames @ 120fps) — PASS на RTX 5090.
0 torn frames у всех consumers (включая 2 slow с 5ms sleep).

Smoke-проверено: testsrc 25fps → cuframes-rtsp-source → cuframes IPC
→ sub_count (отдельный процесс) → 200/200 frames, 0 gaps, avg_fps=25.2.
This commit is contained in:
2026-05-14 23:39:01 +01:00
parent 2530057507
commit a21812d3f6
9 changed files with 727 additions and 2 deletions
+1
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@@ -1,5 +1,6 @@
# Build artefacts
build/
build-*/
out/
*.o
*.a
+11 -2
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@@ -20,13 +20,22 @@ endif()
option(BUILD_TESTING "Build tests" ON)
option(BUILD_EXAMPLES "Build examples" ON)
option(BUILD_FFMPEG_FILTER "Build FFmpeg vf_cuda_ipc_export filter" OFF)
option(BUILD_PYTHON_BINDINGS "Build Python bindings" OFF)
option(BUILD_FFMPEG_FILTER "Build FFmpeg vf_cuda_ipc_export filter (out-of-tree, требует patch FFmpeg)" OFF)
option(BUILD_PYTHON_BINDINGS "Build Python bindings (Phase 3+)" OFF)
option(BUILD_TOOLS "Build standalone tools (cuframes-rtsp-source)" ON)
enable_testing()
add_subdirectory(libcuframes)
if(BUILD_EXAMPLES)
add_subdirectory(examples)
endif()
if(BUILD_FFMPEG_FILTER)
add_subdirectory(filter)
endif()
if(BUILD_TOOLS)
add_subdirectory(tools/cuframes-rtsp-source)
endif()
+2
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@@ -0,0 +1,2 @@
find_package(CUDAToolkit REQUIRED)
add_subdirectory(sub_count)
+3
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@@ -0,0 +1,3 @@
add_executable(sub_count main.cpp)
target_compile_features(sub_count PRIVATE cxx_std_17)
target_link_libraries(sub_count PRIVATE cuframes CUDA::cudart)
+132
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@@ -0,0 +1,132 @@
/* sub_count — minimal cuframes subscriber: подключается, считает frames,
* выходит по SIGINT, по достижении max-frames или при disconnect publisher.
*
* Use case: smoke-test для cuframes-rtsp-source / любого publisher'а.
* Reference-имплементация consumer'а на raw C API.
*
* Build: через CMake (см. examples/CMakeLists.txt)
* Run: sub_count --key cam1 [--max-frames N] [--timeout-ms N] [--verbose]
*/
#include <cuframes/cuframes.h>
#include <cuda_runtime.h>
#include <atomic>
#include <chrono>
#include <csignal>
#include <cstdio>
#include <cstdlib>
#include <cstring>
#include <iostream>
#include <string>
static std::atomic<int> g_stop{0};
static void on_signal(int) { g_stop.store(1); }
int main(int argc, char **argv) {
std::string key;
int timeout_ms = 2000;
int max_frames = -1;
bool verbose = false;
for (int i = 1; i < argc; ++i) {
std::string s = argv[i];
if (s == "--key" && i + 1 < argc) key = argv[++i];
else if (s == "--timeout-ms" && i + 1 < argc) timeout_ms = std::atoi(argv[++i]);
else if (s == "--max-frames" && i + 1 < argc) max_frames = std::atoi(argv[++i]);
else if (s == "--verbose") verbose = true;
else if (s == "-h" || s == "--help") {
std::cerr << "Usage: sub_count --key NAME [--timeout-ms N] "
"[--max-frames N] [--verbose]\n";
return 0;
} else {
std::cerr << "Unknown arg: " << s << "\n";
return 1;
}
}
if (key.empty()) {
std::cerr << "--key required\n";
return 1;
}
signal(SIGINT, on_signal);
signal(SIGTERM, on_signal);
cuframes_subscriber_config_t cfg{};
cfg.key = key.c_str();
cfg.consumer_name = "sub_count";
cfg.mode = CUFRAMES_MODE_NEWEST_ONLY;
cfg.connect_timeout_ms = 5000;
cuframes_subscriber_t *sub = nullptr;
int r = cuframes_subscriber_create(&cfg, &sub);
if (r != CUFRAMES_OK) {
std::cerr << "[sub_count] connect to '" << key << "': "
<< cuframes_strerror(r) << "\n";
return 2;
}
std::cerr << "[sub_count] connected to 'cuframes-" << key << "'\n";
cudaStream_t stream;
cudaStreamCreate(&stream);
uint64_t received = 0;
uint64_t last_seq = 0;
uint64_t gaps = 0;
int consecutive_timeouts = 0;
auto t0 = std::chrono::steady_clock::now();
while (!g_stop.load()) {
cuframes_frame_t *f = nullptr;
r = cuframes_subscriber_next(sub, stream, &f, timeout_ms);
if (r == CUFRAMES_ERR_DISCONNECTED) {
std::cerr << "[sub_count] publisher disconnected\n";
break;
}
if (r == CUFRAMES_ERR_TIMEOUT) {
consecutive_timeouts++;
std::cerr << "[sub_count] timeout (" << consecutive_timeouts << ")\n";
if (consecutive_timeouts >= 3) {
std::cerr << "[sub_count] " << consecutive_timeouts
<< " consecutive timeouts, giving up\n";
break;
}
continue;
}
if (r != CUFRAMES_OK) {
std::cerr << "[sub_count] next: " << cuframes_strerror(r) << "\n";
break;
}
consecutive_timeouts = 0;
cudaStreamSynchronize(stream); // ensure event-wait завершён
uint64_t seq = cuframes_frame_seq(f);
if (received > 0 && seq > last_seq + 1) gaps += (seq - last_seq - 1);
last_seq = seq;
received++;
if (verbose && (received % 50 == 0)) {
int32_t w = 0, h = 0;
cuframes_frame_size(f, &w, &h);
std::cerr << "[sub_count] seq=" << seq
<< " w=" << w << " h=" << h
<< " pts_ns=" << cuframes_frame_pts_ns(f) << "\n";
}
cuframes_subscriber_release(sub, f);
if (max_frames > 0 && (int64_t)received >= max_frames) break;
}
auto t1 = std::chrono::steady_clock::now();
double sec = std::chrono::duration<double>(t1 - t0).count();
std::cerr << "[sub_count] received=" << received
<< " gaps=" << gaps
<< " elapsed=" << sec << "s"
<< " avg_fps=" << (sec > 0 ? received / sec : 0) << "\n";
cudaStreamDestroy(stream);
cuframes_subscriber_destroy(sub);
return received > 0 ? 0 : 2;
}
+7
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@@ -15,3 +15,10 @@ target_include_directories(test_multi PRIVATE
${CMAKE_SOURCE_DIR}/include)
add_test(NAME multi_consumer COMMAND test_multi)
set_tests_properties(multi_consumer PROPERTIES TIMEOUT 60)
add_executable(test_stress test_stress.cu)
target_link_libraries(test_stress PRIVATE cuframes CUDA::cudart)
target_include_directories(test_stress PRIVATE
${CMAKE_SOURCE_DIR}/include)
add_test(NAME stress_4consumer COMMAND test_stress)
set_tests_properties(stress_4consumer PROPERTIES TIMEOUT 120)
+169
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@@ -0,0 +1,169 @@
/* Stress test: 1 publisher × 4 consumers, 2000 frames, intermediate-rate (~120 fps),
* проверка zero-loss в NEWEST_ONLY mode не требуется (это политика DROP_OLDEST по
* spec); проверяем что:
* 1) ВСЕ subscribers получают frames continuously без torn-detection failures
* 2) Producer не deadlock'ит при slow consumer
* 3) После teardown — нет leaked файлов в /dev/shm
* 4) После teardown — process exit clean без segfault
*/
#include <cuframes/cuframes.h>
#include <cuda_runtime.h>
#include <sys/wait.h>
#include <sys/stat.h>
#include <unistd.h>
#include <atomic>
#include <chrono>
#include <cstdio>
#include <cstdlib>
#include <cstring>
#include <thread>
#define CHECK(call) do { int _r = (call); if (_r != 0) { \
fprintf(stderr, "FAIL %s:%d: %s\n", __FILE__, __LINE__, cuframes_strerror(_r)); std::exit(2); } } while(0)
#define CHECK_CUDA(call) do { cudaError_t _e = (call); if (_e != cudaSuccess) { \
fprintf(stderr, "CUDA FAIL %s:%d: %s\n", __FILE__, __LINE__, cudaGetErrorString(_e)); std::exit(2); } } while(0)
static const char *KEY = "test_stress";
static const int W = 1280, H = 720;
static const int N = 2000;
static const int NUM_CONSUMERS = 4;
__host__ __device__ inline uint8_t pat(uint64_t seq, int row) {
return static_cast<uint8_t>((seq * 31u + row * 7u) & 0xFF);
}
__global__ void fill_y(uint8_t *y, int w, int h, int py, uint64_t seq) {
int x = blockIdx.x * blockDim.x + threadIdx.x;
int r = blockIdx.y * blockDim.y + threadIdx.y;
if (x < w && r < h) y[r * py + x] = pat(seq, r);
}
__global__ void verify_y(const uint8_t *y, int w, int h, int py, uint64_t seq, int *bad) {
int x = blockIdx.x * blockDim.x + threadIdx.x;
int r = blockIdx.y * blockDim.y + threadIdx.y;
if (x < w && r < h) if (y[r * py + x] != pat(seq, r)) atomicAdd(bad, 1);
}
int run_consumer(const char *name, int slow_ms) {
cuframes_subscriber_config_t cfg = {};
cfg.key = KEY;
cfg.consumer_name = name;
cfg.mode = CUFRAMES_MODE_NEWEST_ONLY;
cfg.connect_timeout_ms = 5000;
cuframes_subscriber_t *sub = NULL;
CHECK(cuframes_subscriber_create(&cfg, &sub));
cudaStream_t s;
CHECK_CUDA(cudaStreamCreate(&s));
int *d_bad;
CHECK_CUDA(cudaMalloc(&d_bad, sizeof(int)));
dim3 b(32, 8);
dim3 g((W + b.x - 1) / b.x, (H + b.y - 1) / b.y);
int recv = 0, torn = 0;
while (1) {
cuframes_frame_t *f = NULL;
int r = cuframes_subscriber_next(sub, s, &f, 3000);
if (r == CUFRAMES_ERR_TIMEOUT || r == CUFRAMES_ERR_DISCONNECTED) break;
if (r != 0) { fprintf(stderr, "[%s] next: %s\n", name, cuframes_strerror(r)); std::exit(2); }
CHECK_CUDA(cudaMemsetAsync(d_bad, 0, sizeof(int), s));
verify_y<<<g, b, 0, s>>>((const uint8_t *)cuframes_frame_cuda_ptr(f),
W, H, cuframes_frame_pitch_y(f),
cuframes_frame_seq(f), d_bad);
int bad = 0;
CHECK_CUDA(cudaMemcpyAsync(&bad, d_bad, sizeof(int), cudaMemcpyDeviceToHost, s));
CHECK_CUDA(cudaStreamSynchronize(s));
if (bad > 0) torn++;
recv++;
CHECK(cuframes_subscriber_release(sub, f));
if (slow_ms > 0) std::this_thread::sleep_for(std::chrono::milliseconds(slow_ms));
}
fprintf(stderr, "[%s] received=%d torn=%d\n", name, recv, torn);
cudaFree(d_bad);
cudaStreamDestroy(s);
cuframes_subscriber_destroy(sub);
return (torn == 0 && recv >= 10) ? 0 : 1;
}
int run_producer() {
cuframes_publisher_config_t cfg = {};
cfg.key = KEY;
cfg.width = W;
cfg.height = H;
cfg.format = CUFRAMES_FORMAT_NV12;
cfg.ownership = CUFRAMES_OWNERSHIP_LIBRARY;
cfg.ring_size = 8;
cfg.policy = CUFRAMES_POLICY_DROP_OLDEST;
cuframes_publisher_t *pub = NULL;
CHECK(cuframes_publisher_create(&cfg, &pub));
int32_t pitch_y = 0;
CHECK(cuframes_calc_frame_size(CUFRAMES_FORMAT_NV12, W, H, NULL, &pitch_y, NULL));
cudaStream_t s;
CHECK_CUDA(cudaStreamCreate(&s));
dim3 b(32, 8);
dim3 g((W + b.x - 1) / b.x, (H + b.y - 1) / b.y);
std::this_thread::sleep_for(std::chrono::milliseconds(800));
/* ~120 fps */
auto iv = std::chrono::nanoseconds(1000000000LL / 120);
auto t = std::chrono::steady_clock::now();
for (int i = 0; i < N; ++i) {
void *p = NULL;
CHECK(cuframes_publisher_acquire(pub, &p));
fill_y<<<g, b, 0, s>>>((uint8_t *)p, W, H, pitch_y, (uint64_t)i);
CHECK(cuframes_publisher_publish(pub, s, cuframes_now_ns()));
t += iv;
std::this_thread::sleep_until(t);
}
std::this_thread::sleep_for(std::chrono::milliseconds(1000));
cuframes_publisher_destroy(pub);
cudaStreamDestroy(s);
return 0;
}
int main() {
char shm[80]; snprintf(shm, 80, "/dev/shm/cuframes-%s", KEY); unlink(shm);
char sock[128]; snprintf(sock, 128, "/run/cuframes/%s.sock", KEY); unlink(sock);
pid_t pids[NUM_CONSUMERS];
/* Mix: 2 быстрых, 2 slow consumers (5ms sleep — ~200fps cap, медленнее publisher'а) */
int slow[NUM_CONSUMERS] = {0, 0, 5, 5};
char names[NUM_CONSUMERS][16];
for (int i = 0; i < NUM_CONSUMERS; ++i) {
snprintf(names[i], 16, "c%d", i + 1);
pids[i] = fork();
if (pids[i] == 0) return run_consumer(names[i], slow[i]);
}
int prod_r = run_producer();
int fail = (prod_r != 0);
for (int i = 0; i < NUM_CONSUMERS; ++i) {
int st = 0;
waitpid(pids[i], &st, 0);
if (!WIFEXITED(st) || WEXITSTATUS(st) != 0) {
fprintf(stderr, "consumer %s failed (status=%d)\n", names[i], st);
fail = 1;
}
}
/* Check teardown clean */
struct stat st;
if (stat(shm, &st) == 0) {
fprintf(stderr, "WARN: %s остался после teardown (но это OK — IPC объект)\n", shm);
}
if (stat(sock, &st) == 0) {
fprintf(stderr, "WARN: %s остался после teardown\n", sock);
}
if (fail) { fprintf(stderr, "test_stress FAIL\n"); return 1; }
fprintf(stderr, "test_stress PASS (1×pub × %d×sub × %d frames)\n", NUM_CONSUMERS, N);
return 0;
}
+20
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@@ -0,0 +1,20 @@
cmake_minimum_required(VERSION 3.20)
project(cuframes_rtsp_source LANGUAGES CXX)
find_package(PkgConfig REQUIRED)
pkg_check_modules(FFMPEG REQUIRED IMPORTED_TARGET
libavformat
libavcodec
libavutil
)
find_package(CUDAToolkit REQUIRED)
add_executable(cuframes-rtsp-source main.cpp)
target_compile_features(cuframes-rtsp-source PRIVATE cxx_std_17)
target_compile_options(cuframes-rtsp-source PRIVATE -Wall -Wextra)
target_link_libraries(cuframes-rtsp-source
PRIVATE
cuframes
PkgConfig::FFMPEG
CUDA::cudart
)
+382
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@@ -0,0 +1,382 @@
/* cuframes-rtsp-source — standalone tool который читает RTSP-stream, decode'ит
* на CUDA через libav*, и публикует декодированные frames через cuframes.
*
* Целевое использование: запускается рядом с Frigate (например, в docker-compose
* stack), даёт consumer'ам (cctv-companion, AI scripts, etc.) zero-copy доступ
* к декодированным кадрам через cuframes IPC — без модификации Frigate.
*
* После Step 9 v0.2 — заменится на FFmpeg filter `vf_cuda_ipc_export` который
* встраивается в существующий Frigate ffmpeg-pipeline без extra decode.
*
* Pipeline:
*
* RTSP ─► avformat_open ─► avcodec hwaccel cuda ─► AVFrame в CUDA hwframes
* │
* ▼
* D2D memcpy ◄─ pre-allocated cuframes pool (EXTERNAL ownership)
* │
* ▼
* cuframes_publisher_publish_external
*
* Build:
* g++ -std=c++17 main.cpp -o cuframes-rtsp-source \
* -lavformat -lavcodec -lavutil -lcuframes -lcudart
*
* Usage:
* cuframes-rtsp-source --rtsp rtsp://admin:pw@cam/stream --key cam1
*/
extern "C" {
#include <libavcodec/avcodec.h>
#include <libavformat/avformat.h>
#include <libavutil/hwcontext.h>
#include <libavutil/hwcontext_cuda.h>
#include <libavutil/opt.h>
#include <libavutil/pixdesc.h>
}
#include <cuframes/cuframes.hpp>
#include <cuda_runtime.h>
#include <atomic>
#include <chrono>
#include <csignal>
#include <cstdio>
#include <cstdlib>
#include <cstring>
#include <iostream>
#include <string>
#include <thread>
static std::atomic<int> g_stop{0};
static void on_signal(int) { g_stop.store(1); }
struct Args {
std::string rtsp_url;
std::string key = "cam";
std::string consumer_role = "main"; // informative
int cuda_device = 0;
int ring_size = 4;
bool verbose = false;
bool realtime = false; // emulate -re у ffmpeg CLI: sleep по pts
bool loop = false; // loop input на eof (для file://)
};
static void print_usage() {
std::cerr <<
"Usage: cuframes-rtsp-source --rtsp URL --key NAME [opts]\n"
"\n"
"Required:\n"
" --rtsp URL RTSP/HTTP URL (e.g. rtsp://admin:pw@cam/stream)\n"
" --key NAME cuframes resource name (a-zA-Z0-9_-, ≤63)\n"
"\n"
"Optional:\n"
" --cuda-device N CUDA device index (default 0)\n"
" --ring N cuframes ring size (default 4, range 2..16)\n"
" --realtime pace input по PTS (как ffmpeg -re; полезно для файла)\n"
" --loop loop input на EOF (только для file://)\n"
" --verbose debug logs\n"
" -h, --help this help\n";
}
static int parse_args(int argc, char **argv, Args &a) {
for (int i = 1; i < argc; ++i) {
std::string s = argv[i];
auto next = [&] {
if (i + 1 >= argc) { print_usage(); std::exit(1); }
return std::string(argv[++i]);
};
if (s == "--rtsp") a.rtsp_url = next();
else if (s == "--key") a.key = next();
else if (s == "--cuda-device") a.cuda_device = std::stoi(next());
else if (s == "--ring") a.ring_size = std::stoi(next());
else if (s == "--realtime") a.realtime = true;
else if (s == "--loop") a.loop = true;
else if (s == "--verbose") a.verbose = true;
else if (s == "-h" || s == "--help") { print_usage(); std::exit(0); }
else { std::cerr << "Unknown arg: " << s << "\n"; print_usage(); std::exit(1); }
}
if (a.rtsp_url.empty() || a.key.empty()) { print_usage(); return 1; }
return 0;
}
/* Get HW frame pixel format callback — выбирает CUDA pixel format */
static enum AVPixelFormat get_hw_format(AVCodecContext *ctx,
const enum AVPixelFormat *fmts) {
(void)ctx;
for (const enum AVPixelFormat *p = fmts; *p != AV_PIX_FMT_NONE; ++p) {
if (*p == AV_PIX_FMT_CUDA) return *p;
}
return AV_PIX_FMT_NONE;
}
/* HW device context для CUDA */
static int setup_hw_device(int cuda_device, AVBufferRef **out) {
AVBufferRef *hw_ctx = NULL;
char dev_str[16];
snprintf(dev_str, sizeof(dev_str), "%d", cuda_device);
int r = av_hwdevice_ctx_create(&hw_ctx, AV_HWDEVICE_TYPE_CUDA, dev_str, NULL, 0);
if (r < 0) {
char err[256];
av_strerror(r, err, sizeof(err));
std::cerr << "av_hwdevice_ctx_create: " << err << "\n";
return -1;
}
*out = hw_ctx;
return 0;
}
int main(int argc, char **argv) {
Args a;
if (parse_args(argc, argv, a) != 0) return 1;
signal(SIGINT, on_signal);
signal(SIGTERM, on_signal);
/* libav init */
avformat_network_init();
/* Open input */
AVFormatContext *fmt = nullptr;
AVDictionary *opts = nullptr;
av_dict_set(&opts, "rtsp_transport", "tcp", 0);
av_dict_set(&opts, "stimeout", "10000000", 0); /* 10s */
av_dict_set(&opts, "fflags", "+genpts+discardcorrupt", 0);
int r = avformat_open_input(&fmt, a.rtsp_url.c_str(), nullptr, &opts);
av_dict_free(&opts);
if (r < 0) {
char err[256];
av_strerror(r, err, sizeof(err));
std::cerr << "avformat_open_input '" << a.rtsp_url << "': " << err << "\n";
return 2;
}
if (avformat_find_stream_info(fmt, nullptr) < 0) {
std::cerr << "avformat_find_stream_info failed\n";
avformat_close_input(&fmt);
return 2;
}
/* Find video stream */
int video_idx = -1;
for (unsigned i = 0; i < fmt->nb_streams; ++i) {
if (fmt->streams[i]->codecpar->codec_type == AVMEDIA_TYPE_VIDEO) {
video_idx = (int)i;
break;
}
}
if (video_idx < 0) {
std::cerr << "no video stream in input\n";
avformat_close_input(&fmt);
return 2;
}
AVStream *vstream = fmt->streams[video_idx];
int width = vstream->codecpar->width;
int height = vstream->codecpar->height;
enum AVCodecID codec_id = vstream->codecpar->codec_id;
const AVCodec *decoder = avcodec_find_decoder(codec_id);
if (!decoder) {
std::cerr << "no decoder for codec " << avcodec_get_name(codec_id) << "\n";
avformat_close_input(&fmt);
return 2;
}
std::cerr << "[cuframes-src] input " << a.rtsp_url << "" << width << "x" << height
<< " " << avcodec_get_name(codec_id) << "\n";
/* CUDA hwaccel setup */
AVBufferRef *hw_device = nullptr;
if (setup_hw_device(a.cuda_device, &hw_device) < 0) {
avformat_close_input(&fmt);
return 2;
}
AVCodecContext *ctx = avcodec_alloc_context3(decoder);
if (!ctx) { std::cerr << "alloc_context fail\n"; return 2; }
if (avcodec_parameters_to_context(ctx, vstream->codecpar) < 0) {
std::cerr << "parameters_to_context fail\n"; return 2;
}
ctx->hw_device_ctx = av_buffer_ref(hw_device);
ctx->get_format = get_hw_format;
r = avcodec_open2(ctx, decoder, nullptr);
if (r < 0) {
char err[256]; av_strerror(r, err, sizeof(err));
std::cerr << "avcodec_open2: " << err << "\n";
return 2;
}
/* Pre-allocate cuframes pool (NV12 — что nvdec выдаёт) */
int32_t pitch_y = 0, pitch_uv = 0;
size_t frame_size = cuframes::calc_frame_size(CUFRAMES_FORMAT_NV12,
width, height,
&pitch_y, &pitch_uv);
cudaSetDevice(a.cuda_device);
std::vector<void *> pool(a.ring_size, nullptr);
for (int i = 0; i < a.ring_size; ++i) {
cudaError_t cerr = cudaMalloc(&pool[i], frame_size);
if (cerr != cudaSuccess) {
std::cerr << "cudaMalloc pool[" << i << "]: " << cudaGetErrorString(cerr) << "\n";
return 2;
}
}
cuframes::PublisherOptions po;
po.key = a.key;
po.width = width;
po.height = height;
po.format = CUFRAMES_FORMAT_NV12;
po.policy = CUFRAMES_POLICY_DROP_OLDEST;
po.cuda_device = a.cuda_device;
po.ring_size = a.ring_size; /* для logging */
cuframes::Publisher pub(po, pool.data(), a.ring_size, frame_size);
std::cerr << "[cuframes-src] publisher 'cuframes-" << a.key
<< "' ready, ring=" << a.ring_size
<< " pool_size=" << frame_size << " bytes/frame\n";
/* Stream для D2D copies */
cudaStream_t stream;
cudaStreamCreate(&stream);
AVPacket *pkt = av_packet_alloc();
AVFrame *frame = av_frame_alloc();
if (!pkt || !frame) return 2;
int pool_idx = 0;
uint64_t frame_count = 0;
auto t_last_log = std::chrono::steady_clock::now();
uint64_t last_log_count = 0;
/* Realtime pacing: t0 = время первого frame; ждём до t0 + pts_in_real_time */
auto rt_t0 = std::chrono::steady_clock::time_point::min();
int64_t rt_pts0 = AV_NOPTS_VALUE;
AVRational stream_tb = vstream->time_base;
while (!g_stop.load()) {
r = av_read_frame(fmt, pkt);
if (r == AVERROR_EOF) {
if (a.loop) {
/* Seek в начало; offset PTS чтобы избежать non-monotonic */
av_seek_frame(fmt, video_idx, 0, AVSEEK_FLAG_BACKWARD);
avcodec_flush_buffers(ctx);
rt_t0 = std::chrono::steady_clock::time_point::min();
rt_pts0 = AV_NOPTS_VALUE;
av_packet_unref(pkt);
continue;
}
break;
}
if (r < 0) {
char err[256]; av_strerror(r, err, sizeof(err));
std::cerr << "[cuframes-src] av_read_frame: " << err << "\n";
av_packet_unref(pkt);
std::this_thread::sleep_for(std::chrono::seconds(1));
continue;
}
if (pkt->stream_index != video_idx) {
av_packet_unref(pkt);
continue;
}
r = avcodec_send_packet(ctx, pkt);
av_packet_unref(pkt);
if (r < 0) continue;
while (true) {
r = avcodec_receive_frame(ctx, frame);
if (r == AVERROR(EAGAIN) || r == AVERROR_EOF) break;
if (r < 0) {
std::cerr << "avcodec_receive_frame error\n";
break;
}
if (frame->format != AV_PIX_FMT_CUDA) {
av_frame_unref(frame);
continue;
}
/* frame->data[0] — указатель на CUDA Y plane; frame->data[1] — UV */
void *cuda_src_y = frame->data[0];
void *cuda_src_uv = frame->data[1];
int src_pitch_y = frame->linesize[0];
int src_pitch_uv = frame->linesize[1];
void *dst = pool[pool_idx];
/* D2D 2D-copy Y plane */
cudaError_t cerr = cudaMemcpy2DAsync(
dst, pitch_y, cuda_src_y, src_pitch_y, width, height,
cudaMemcpyDeviceToDevice, stream);
if (cerr != cudaSuccess) {
std::cerr << "memcpy Y: " << cudaGetErrorString(cerr) << "\n";
av_frame_unref(frame);
continue;
}
/* UV plane (height/2 строк) */
uint8_t *dst_uv = (uint8_t *)dst + (size_t)pitch_y * height;
cerr = cudaMemcpy2DAsync(
dst_uv, pitch_uv, cuda_src_uv, src_pitch_uv, width, height / 2,
cudaMemcpyDeviceToDevice, stream);
if (cerr != cudaSuccess) {
std::cerr << "memcpy UV: " << cudaGetErrorString(cerr) << "\n";
av_frame_unref(frame);
continue;
}
/* Realtime pacing — спим до момента когда wall-clock соответствует pts */
if (a.realtime && frame->pts != AV_NOPTS_VALUE) {
if (rt_pts0 == AV_NOPTS_VALUE) {
rt_pts0 = frame->pts;
rt_t0 = std::chrono::steady_clock::now();
}
int64_t rel_pts = frame->pts - rt_pts0;
double rel_sec = rel_pts * av_q2d(stream_tb);
auto target = rt_t0 + std::chrono::microseconds(
(int64_t)(rel_sec * 1e6));
std::this_thread::sleep_until(target);
}
int64_t pts_ns = cuframes::now_ns();
try {
pub.publish_external(dst, stream, pts_ns);
} catch (const cuframes::Error &e) {
std::cerr << "publish_external: " << e.what() << "\n";
av_frame_unref(frame);
continue;
}
pool_idx = (pool_idx + 1) % a.ring_size;
frame_count++;
av_frame_unref(frame);
if (a.verbose && (frame_count % 100 == 0)) {
auto now = std::chrono::steady_clock::now();
double dt = std::chrono::duration<double>(now - t_last_log).count();
if (dt >= 1.0) {
uint64_t delta = frame_count - last_log_count;
std::cerr << "[cuframes-src] frames=" << frame_count
<< " (" << (delta / dt) << " fps)\n";
t_last_log = now;
last_log_count = frame_count;
}
}
}
}
std::cerr << "[cuframes-src] shutdown, total frames=" << frame_count << "\n";
av_frame_free(&frame);
av_packet_free(&pkt);
avcodec_free_context(&ctx);
avformat_close_input(&fmt);
av_buffer_unref(&hw_device);
cudaStreamDestroy(stream);
/* Publisher destructor freed first; теперь освободим pool */
/* Note: publisher уже destroyed by RAII, IPC handles closed by subscribers */
for (auto p : pool) if (p) cudaFree(p);
return 0;
}