Android UVC Camera H.265帧序错乱问题
RK3588平台同时预览5路H265 4K摄像头，出现其中一路画面卡死异常，从log分析看出现了上层拿到的帧序乱了，先执行的uvc_video_next_buffers 先写的1890 后写的1891，但是add tail on buffer queue 是先执行的1891 后执行的1890：
01-07 19:12:38.608 0 0 I KERNEL: : [ C0] ==>jake uvc_video_next_buffers queue:cap-00000000b2d4e786, index:2, frame:1890 01-07 19:12:38.608 0 0 D KERNEL: [ C0] uvcvideo: frame 1891 stats: 0/11/11 packets, 0/0/0 pts (!early !initial), 0/0 scr, last pts/stc/sof 0/0/0,dev pid = 0xcb 01-07 19:12:38.608 0 0 D KERNEL: [ C0] uvcvideo: Frame complete (EOF found). 01-07 19:12:38.608 0 0 I KERNEL: : [ C0] ==>jake uvc_video_next_buffers queue:cap-00000000b2d4e786, index:3, frame:1891 01-07 19:12:38.608 4397 4397 I KERNEL: videobuf2_common: [cap-00000000b2d4e786] vb2_buffer_done: done processing on buffer queue:cap-00000000b2d4e786, index:3, state: done, seq:1891 01-07 19:12:38.608 4397 4397 I KERNEL: videobuf2_common: [cap-00000000b2d4e786] vb2_buffer_done: add tail on buffer queue:cap-00000000b2d4e786 index:3, state: done, seq:1891 01-07 19:12:38.608 4377 4377 D KERNEL: uvcvideo: uvc_v4l2_poll 01-07 19:12:38.608 4377 4377 I KERNEL: uvcvideo: ==>jake uvc_ioctl_dqbuf(804) uvc_ioctl_dqbuf queue:cap-00000000b2d4e786, index:0 sequence:0. 01-07 19:12:38.608 4377 4377 I KERNEL: videobuf2_common: [cap-00000000b2d4e786] vb2_core_dqbuf: returning done buffer 01-07 19:12:38.608 4377 4377 I KERNEL: videobuf2_common: [cap-00000000b2d4e786] vb2_core_dqbuf: dqbuf of buffer 3, state: dequeued 01-07 19:12:38.608 4377 4377 I KERNEL: uvcvideo: ==>jake uvc_ioctl_dqbuf(807) uvc_ioctl_dqbuf queue:cap-00000000b2d4e786, index:3 sequence:1891. 01-07 19:12:38.608 404 404 I KERNEL: videobuf2_common: [cap-00000000b2d4e786] vb2_buffer_done: done processing on buffer queue:cap-00000000b2d4e786, index:2, state: done, seq:1890 01-07 19:12:38.608 404 404 I KERNEL: videobuf2_common: [cap-00000000b2d4e786] vb2_buffer_done: add tail on buffer queue:cap-00000000b2d4e786 index:2, state: done, seq:1890 01-07 19:12:38.609 4377 4377 D KERNEL: uvcvideo: uvc_v4l2_mmap 01-07 19:12:38.609 4377 4377 I KERNEL: videobuf2_common: [cap-00000000b2d4e786] vb2_mmap: buffer 3, plane 0 successfully mapped 01-07 19:12:38.610 4377 4377 D KERNEL: uvcvideo: uvc_v4l2_poll 01-07 19:12:38.610 4377 4377 I KERNEL: uvcvideo: ==>jake uvc_ioctl_dqbuf(804) uvc_ioctl_dqbuf queue:cap-00000000b2d4e786, index:0 sequence:0. 01-07 19:12:38.610 4377 4377 I KERNEL: videobuf2_common: [cap-00000000b2d4e786] vb2_core_dqbuf: returning done buffer 01-07 19:12:38.610 4377 4377 I KERNEL: videobuf2_common: [cap-00000000b2d4e786] vb2_core_dqbuf: dqbuf of buffer 2, state: dequeued 01-07 19:12:38.610 4377 4377 I KERNEL: uvcvideo: ==>jake uvc_ioctl_dqbuf(807) uvc_ioctl_dqbuf queue:cap-00000000b2d4e786, index:2 sequence:1890.
而Camera HAL层从驱动video buffer队列中取到的帧序也对应错乱，先拿到了1891帧后是1890帧：
01-07 19:12:36.987 437 677 E ExtCamDevSsn@3.4: dequeueV4l2FrameLocked(4949) done. mCameraId:107 index:0, sequence:1888 01-07 19:12:37.020 437 677 E ExtCamDevSsn@3.4: dequeueV4l2FrameLocked(4949) done. mCameraId:107 index:1, sequence:1889 01-07 19:12:37.096 437 4377 E ExtCamDevSsn@3.4: dequeueV4l2FrameLocked(4949) done. mCameraId:107 index:3, sequence:1891 01-07 19:12:37.098 437 4377 E ExtCamDevSsn@3.4: dequeueV4l2FrameLocked(4949) done. mCameraId:107 index:2, sequence:1890 01-07 19:12:37.120 437 4377 E ExtCamDevSsn@3.4: dequeueV4l2FrameLocked(4949) done. mCameraId:107 index:0, sequence:1892 01-07 19:12:37.156 437 4378 E ExtCamDevSsn@3.4: dequeueV4l2FrameLocked(4949) done. mCameraId:107 index:1, sequence:1893 01-07 19:12:37.186 437 4358 E ExtCamDevSsn@3.4: dequeueV4l2FrameLocked(4949) done. mCameraId:107 index:2, sequence:1894
而平台的解码库对错序帧无法处理报异常，导致预览画面卡死。为什么驱动层的video buffer不是按顺序处理？这里引出Linux的内核工作队列---workqueue。
学习资料参考：https://www.modb.pro/db/236435 博主LinuxKernelStudy 此系列文章讲述了Linux内核从 task-queue 到 keventd/events 再到 CMWQ(Concurrency Managed Workqueue)的演变过程。
先看看启动摄像头预览时uvc驱动代码(uvc_driver.c)中创建工作队列的方式（alloc_workqueue）：
static struct uvc_streaming *uvc_stream_new(struct uvc_device *dev, ¦ struct usb_interface *intf) { struct uvc_streaming *stream; stream = kzalloc(sizeof(*stream), GFP_KERNEL); if (stream == NULL) return NULL; mutex_init(&stream->mutex); stream->dev = dev; stream->intf = usb_get_intf(intf); stream->intfnum = intf->cur_altsetting->desc.bInterfaceNumber; /* Allocate a stream specific work queue for asynchronous tasks. */ stream->async_wq = alloc_workqueue("uvcvideo", WQ_UNBOUND | WQ_HIGHPRI, 0); //创建的队列是多线程并发执行
if (!stream->async_wq) { uvc_stream_delete(stream); return NULL; } return stream; }
alloc_workqueue("uvcvideo", WQ_UNBOUND | WQ_HIGHPRI, 0); //第一个参数是task名，第二个参数是工作队列flags，第三个参数是max_active：代表该队列最大并发处理work项的数目,0代表默认=256。
工作队列flags说明：
WQ_UNBOUND：指明wq为unbound队列，不会绑定到固定cpu上，可以在允许的cpu核上运行，可以通过taskset -p pid查看允许在哪些cpu核上运行。
WQ_MEM_RECLAIM：创建wq时会创建一个救援线程，nice=-20，常驻后台。
WQ_FREEZABLE：队列可以被冻结，用于CONFIG_FREEZER配置。
WQ_HIGHPRI：高优先级队列。nice=-20
WQ_CPU_INTENSIVE：队列定义为CPU消耗型。
WQ_SYSFS：在sysfs下创建wq设备节点。
WQ_POWERER_EFFICIENT：队列节能特性，表现为UNBOUND。
通过taskset -p 查看当前uvcvideo的内核线程affinity mask都是0xff (mask是二进制，0xff是8位均为1的bitmask，表示可在8个核上跑。如果是0xf0即高4位为1，一般代表是可在4个大核上跑)：
pid 3353's current affinity mask: ff ribeye:/ # taskset -p 3355 pid 3355's current affinity mask: ff ribeye:/ # taskset -p 3352 pid 3352's current affinity mask: ff ribeye:/ # taskset -p 3350 pid 3350's current affinity mask: ff ribeye:/ # taskset -p 3347 pid 3347's current affinity mask: ff
以上可知默认创建的workqueue是运行在多核cpu，允许在多个cpu之间调度（WQ_UNBOUND）。而且每个cpu核上还会动态创建多个worker（max_active=0或大于1），也就是当前workqueue最多在每个cpu上并发的线程数。所以回到帧错序的问题，就可以理解在多核间调度、多线程处理时，会有几率发生其中某一帧会比前一帧先被处理，也就是1890和1891两帧很有可能不在同一个核上处理，而1891帧所在的核可能就是大核或者没1890帧所在核那么忙，所以1891帧更快的被处理入队，被上层取走。
那怎么处理多线程的并发问题？使用create_singlethread_workqueue！
如何理解create_singlethread_workqueue是严格按照顺序执行的？参考资料：https://blog.csdn.net/zhuyong006/article/details/83024889
通过资料可知create_singlethread_workqueue方法其实就是alloc_workqueue的封装，flags不一样：
参考create_singlethread_workqueue方法，修改alloc_workqueue的flags参数，让work能按顺序执行：
--- a/kernel-5.10/drivers/media/usb/uvc/uvc_driver.c +++ b/kernel-5.10/drivers/media/usb/uvc/uvc_driver.c @@ -490,8 +490,12 @@ static struct uvc_streaming *uvc_stream_new(struct uvc_device *dev, stream->intfnum = intf->cur_altsetting->desc.bInterfaceNumber; /* Allocate a stream specific work queue for asynchronous tasks. */ - stream->async_wq = alloc_workqueue("uvcvideo", WQ_UNBOUND | WQ_HIGHPRI, - 0); +// stream->async_wq = alloc_workqueue("uvcvideo", WQ_UNBOUND | WQ_HIGHPRI, +// 0); + stream->async_wq = alloc_workqueue("uvcvideo", WQ_UNBOUND + | WQ_HIGHPRI | __WQ_ORDERED | __WQ_ORDERED_EXPLICIT + | __WQ_LEGACY | WQ_MEM_RECLAIM , + 1); if (!stream->async_wq) { uvc_stream_delete(stream); return NULL;
注：内核对workqueue设置__WQ_ORDERED标记，并且设置max_active=1代表是按顺序执行。
另外从alloc_workqueue代码实现还可以看到如果是WQ_UNBOUND 且 max_active=1 也会按顺序执行：
修改workqueue为单线程按顺序执行后，再测试验证Camera 5路同时预览时H265 video帧就不会错序了~
附个Elecard HEVC Analyzer查看的h265码流图：
posted on 2023-01-13 19:29 sheldon_blogs 阅读(751) 评论(0) 编辑 收藏 举报
