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97 lines
3.9 KiB
97 lines
3.9 KiB
#!/usr/bin/env python3
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import os
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import sys
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import numpy as np
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import multiprocessing
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from cereal.visionipc.visionipc_pyx import VisionIpcServer, VisionStreamType # pylint: disable=no-name-in-module, import-error
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W, H = 1928, 1208
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def writer(fn, addr, sock_name):
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import cereal.messaging as messaging
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HEADER = b"\x00\x00\x00\x01\x40\x01\x0c\x01\xff\xff\x01\x60\x00\x00\x03\x00\xb0\x00\x00\x03\x00\x00\x03\x00\x96\xac\x09\x00\x00\x00\x01\x42\x01\x01\x01\x60\x00\x00\x03\x00\xb0\x00\x00\x03\x00\x00\x03\x00\x96\xa0\x03\xd0\x80\x13\x07\x1b\x2e\x5a\xee\x4c\x92\xea\x00\xbb\x42\x84\xa0\x00\x00\x00\x01\x44\x01\xc0\xe2\x4f\x09\xc1\x80\xc6\x08\x40\x00"
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fifo_file = open(fn, "wb")
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fifo_file.write(HEADER)
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fifo_file.flush()
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os.environ["ZMQ"] = "1"
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messaging.context = messaging.Context()
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sock = messaging.sub_sock(sock_name, None, addr=addr, conflate=False)
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last_idx = -1
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seen_iframe = False
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while 1:
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msgs = messaging.drain_sock(sock, wait_for_one=True)
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for evt in msgs:
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evta = getattr(evt, evt.which())
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lat = ((evt.logMonoTime/1e9) - (evta.timestampEof/1e6))*1000
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print("%2d %4d %.3f %.3f latency %.2f ms" % (len(msgs), evta.idx, evt.logMonoTime/1e9, evta.timestampEof/1e6, lat), len(evta.data), sock_name)
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if evta.idx != 0 and evta.idx != (last_idx+1):
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print("DROP!")
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last_idx = evta.idx
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if len(evta.data) > 4 and evta.data[4] == 0x26:
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seen_iframe = True
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if not seen_iframe:
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print("waiting for iframe")
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continue
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fifo_file.write(evta.data)
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fifo_file.flush()
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def decoder_nvidia(fn, vipc_server, vst):
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sys.path.append("/raid.dell2/PyNvCodec")
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import PyNvCodec as nvc # pylint: disable=import-error
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decoder = nvc.PyNvDecoder(fn, 0, {"probesize": "32"})
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conv = nvc.PySurfaceConverter(W, H, nvc.PixelFormat.NV12, nvc.PixelFormat.BGR, 0)
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cc1 = nvc.ColorspaceConversionContext(nvc.ColorSpace.BT_709, nvc.ColorRange.JPEG)
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nvDwn = nvc.PySurfaceDownloader(W, H, nvc.PixelFormat.BGR, 0)
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img = np.ndarray((H,W,3), dtype=np.uint8)
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cnt = 0
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while 1:
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rawSurface = decoder.DecodeSingleSurface()
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if rawSurface.Empty():
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continue
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convSurface = conv.Execute(rawSurface, cc1)
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nvDwn.DownloadSingleSurface(convSurface, img)
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vipc_server.send(vst, img.flatten().data, cnt, 0, 0)
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cnt += 1
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def decoder_ffmpeg(fn, vipc_server, vst):
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import av # pylint: disable=import-error
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container = av.open(fn, options={"probesize": "32"})
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cnt = 0
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for frame in container.decode(video=0):
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img = frame.to_ndarray(format=av.video.format.VideoFormat('bgr24'))
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vipc_server.send(vst, img.flatten().data, cnt, 0, 0)
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cnt += 1
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import argparse
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if __name__ == "__main__":
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parser = argparse.ArgumentParser(description='Decode video streams and broacast on VisionIPC')
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parser.add_argument("addr", help="Address of comma 3")
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parser.add_argument('--nvidia', action='store_true', help='Use nvidia instead of ffmpeg')
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parser.add_argument("--cams", default="0,1,2", help="Cameras to decode")
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args = parser.parse_args()
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all_cams = [
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("roadEncodeData", VisionStreamType.VISION_STREAM_RGB_ROAD),
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("wideRoadEncodeData", VisionStreamType.VISION_STREAM_RGB_WIDE_ROAD),
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("driverEncodeData", VisionStreamType.VISION_STREAM_RGB_DRIVER),
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]
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cams = dict([all_cams[int(x)] for x in args.cams.split(",")])
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vipc_server = VisionIpcServer("camerad")
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for vst in cams.values():
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vipc_server.create_buffers(vst, 4, True, W, H)
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vipc_server.start_listener()
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for k,v in cams.items():
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FIFO_NAME = "/tmp/decodepipe_"+k
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if os.path.exists(FIFO_NAME):
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os.unlink(FIFO_NAME)
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os.mkfifo(FIFO_NAME)
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multiprocessing.Process(target=writer, args=(FIFO_NAME, sys.argv[1], k)).start()
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if args.nvidia:
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multiprocessing.Process(target=decoder_nvidia, args=(FIFO_NAME, vipc_server, v)).start()
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else:
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multiprocessing.Process(target=decoder_ffmpeg, args=(FIFO_NAME, vipc_server, v)).start()
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