def put_record(self, data, partition_key=None):
"""Add data to the record queue in the proper format.
Parameters
----------
data : str
Data to send.
partition_key: str
Hash that determines which shard a given data record belongs to.
"""
# Byte encode the data
data = encode_data(data)
# Create a random partition key if not provided
if not partition_key:
partition_key = uuid.uuid4().hex
# Build the record
record = {'Data': data, 'PartitionKey': partition_key}
# Flush the queue if it reaches the batch size
if self.queue.qsize() >= self.batch_size:
#logging.info("Queue Flush: batch size reached")
self.pool.submit(self.flush_queue)
# Append the record
logging.debug('Putting record "{}"'.format(record['Data'][:100]))
self.queue.put(record)
def make_element(factory_name, element_name):
logging.debug(f'Creating element {element_name} of type {factory_name}')
element = Gst.ElementFactory.make(factory_name, element_name)
if not element:
raise Exception(
f'Unable to create element {element_name} of type {factory_name}')
return element
def put_record(self, data, partition_key=None):
"""Add data to the record queue in the proper format.
Parameters
----------
data : str
Data to send.
partition_key: str
Hash that determines which shard a given data record belongs to.
"""
# Byte encode the data
data = encode_data(data)
# Create a random partition key if not provided
partition_key = str(partition_key) or uuid.uuid4().hex
# Build the record
record = {'Data': data, 'PartitionKey': partition_key}
explicit_hash_key = self.hash_keys[partition_key]
if explicit_hash_key is not None:
record['ExplicitHashKey'] = str(explicit_hash_key)
# Append the record
logging.debug('Putting record "{}"'.format(record['Data'][:100]))
self.queue.put(record)
def __init__(self, labels, delimiter='->'):
assert 'anything' not in labels, f"'anything' is already a reserved label"
codebook = encode(labels)
self.cls2id = codebook['cls2id']
self.id2chr = codebook['id2chr']
self.id2cls = codebook['id2cls']
self.delimiter = delimiter
logging.debug(f"Rule codebook\n{Config({label: self.id2chr[self.cls2id[label]] for label in labels})}")
def launch():
logging.debug(f"{' '.join(sys.argv)}")
assert len(sys.argv) > 1
cmd = sys.argv[1]
m = importlib.import_module(f".{cmd}", 'ml.vision.cli')
argv = sys.argv[1:]
m.launch(argv)
return
def on_error(self, bus, message):
"""
ERROR Bus Callback
"""
err, debug = message.parse_error()
logging.debug(debug)
message = f'Error received from element {message.src.get_name()}: {err}'
self.put(MESSAGE_TYPE.ERROR, Exception(message))
def on_status_changed(self, bus, message):
"""
STATUS Change Bus Callback
"""
state = message.parse_state_changed()
self.state = STATE_CHANGE(STATE(state.oldstate), STATE(state.newstate),
STATE(state.pending))
logging.debug(f"State | {self.state}")
def compute(self):
if self._N == 0:
raise NotComputableError(
"Loss must have at least one example before it can be computed."
)
TPs = self._TPs / self._N
typeTPs = self._typeTPs / (self._typeN + (self._typeN == 0).float())
logging.debug(self._typeN.tolist())
return TPs.tolist(), typeTPs.tolist()
def render_data_api_response(response):
if "records" in response:
column_names = list(
map(lambda x: x['name'], response.get('columnMetadata', [])))
logging.debug(column_names, response['records'])
for i, record in enumerate(response["records"]):
response["records"][i] = {
column_names[j]: _render_value(v)
for j, v in enumerate(response["records"][i])
}
return response
def preprocess(image_path, *shape):
r'''Preprocessing for TensorRT calibration
Args:
image_path(str): path to image
channels(int):
'''
image = Image.open(image_path)
logging.debug(f"image.size={image.size}, mode={image.mode}")
image = image.convert('RGB')
C = len(image.mode)
im = trans(image)
assert im.shape == (C, H, W)
return im
def parse(self):
while True:
self.raw_requestline = self.rfile.readline(65537)
if len(self.raw_requestline) > 65536:
raise BufferError(HTTPStatus.REQUEST_URI_TOO_LONG)
if not self.raw_requestline:
self.close_connection = True
return
if self.raw_requestline == b'\r\n':
continue
break
logging.debug(f"request: {self.raw_requestline}")
return self.parse_one()
def track_frames(frames, start, step):
frames = th.stack(frames)
# Track person only
with th.cuda.amp.autocast(enabled=cfg.det_amp):
dets, features = detector.detect(frames,
size=cfg.det_scales,
conf_thres=cfg.det_cls_thres,
iou_thres=cfg.det_nms_thres,
batch_preprocess=True)
persons = dets_select(dets, cfg.trk_cls_person)
objs = [
dets_f[~persons_f].cpu()
for dets_f, persons_f in zip(dets, persons)
]
ppls = [
dets_f[persons_f].cpu()
for dets_f, persons_f in zip(dets, persons)
]
ppl_feats = [
feats_f[persons_f].cpu()
for feats_f, persons_f in zip(features, persons)
]
for j, (objs_f, ppls_f,
ppl_feats_f) in enumerate(zip(objs, ppls, ppl_feats), start):
logging.info(
f"[{start + (j - start) * step}] objs: {tuple(objs_f.shape)}, ppls: {tuple(ppls_f.shape)}, feats: {tuple(ppl_feats_f.shape)}"
)
assert objs_f.shape[1] == 4 + 1 + 1
assert ppls_f.shape[1] == 4 + 1 + 1
assert len(ppls) == len(ppl_feats)
# assert ppl_feats.shape[1] == 256 + 512 + 1024
assert ppl_feats_f.shape[1] == 320 + 640 + 1280
matches = tracker.update(
ppls_f,
ppl_feats_f.view(len(ppl_feats_f),
np.prod(ppl_feats_f.shape[1:])))
snapshot = tracker.snapshot()
tracks = []
for tid, info in snapshot:
tracks.append([tid, info])
logging.debug(f"matches[{start + (j - start) * step}]: {matches}")
logging.debug(
f"snapshot[{start + (j - start) * step}]: {snapshot}")
# Render both dets and tracks side by side
frame_det = frames[j - start]
frame_trk = frame_det.clone()
C, H, W = frame_det.shape
idx = f'{start + (j - start) * step:03d}'
if cfg.render_all:
dets = th.cat([ppls_f, objs_f])
frame_det = render_frame(idx, frame_det, dets, False)
else:
frame_det = render_frame(idx, frame_det, ppls_f, False)
if tracks:
frame_trk = render_frame(idx, frame_trk, tracks, True)
frame = th.zeros((C, H, 2 * W), dtype=th.uint8)
frame[:, :, :W] = frame_det
frame[:, :, W:] = frame_trk
write_jpeg(frame, str(export_frame / f"frame{idx}.jpg"))
if media is not None:
frame = av.VideoFrame.from_ndarray(frame.permute(1, 2,
0).numpy(),
format='rgb24')
packets = stream.encode(frame)
media.mux(packets)
logging.debug(f'Encoded: {len(packets)} {packets}, {frame}')
def read_video(self, session, format='BGR'):
meta = session['video']
stream = meta['stream']
codec = meta['codec']
workaround = meta['workaround']
while True:
try:
pkt = next(stream)
except StopIteration:
pkt = None
now = time.time()
prev = meta.get('prev', None)
if prev is None:
if not pkt.is_keyframe:
# Some RTSP source may not send key frame to begin with e.g. wisecam
logging.warning(
f"No key frame to begin with, skip through")
session['start'] = now
continue
meta['keyframe'] = pkt.is_keyframe
meta['time'] = session['start']
streams = session['streams']
sformat = session['format']
# XXX Stream container package format determines H.264 NALUs in AVCC or Annex B.
# TODO Streaming NALUs in AVCC
if 'hls' in sformat or 'rtsp' in sformat or '264' in sformat:
# XXX In case of out of band CPD: SPS/PPS in AnnexB.
CPD = []
if codec.extradata is not None:
for (pos, _, _,
type), nalu in NALUParser(codec.extradata,
workaround=workaround):
if hasStartCode(nalu):
CPD.append(nalu)
logging.info(
f"CPD {NALU_t(type).name} at {pos}: {nalu[:8]} ending with {nalu[-1:]}"
)
else:
logging.warning(
f"Invalid CPD NALU({type}) at {pos}: {nalu[:8]} ending with {nalu[-1:]}"
)
if not CPD:
# Skip all
break
NALUs = []
if workaround:
# FIXME workaround before KVS MKVGenerator deals with NALUs ending with a zero byte
# https://github.com/awslabs/amazon-kinesis-video-streams-producer-sdk-cpp/issues/491
for (pos, _, _,
type), nalu in NALUParser(memoryview(pkt),
workaround=workaround):
assert hasStartCode(
nalu
), f"frame[{meta['count']+1}] NALU(type={type}) at {pos} without START CODE: {nalu[:8].tobytes()}"
if type in (NALU_t.SPS, NALU_t.PPS):
if CPD:
# NOTE: some streams could have multiple UNSPECIFIED(0) NALUs within a single packet with SPS/PPS
#assert len(CPD) == 2, f"len(CPD) == {len(CPD)}, not 2 for SPS/PPS"
ordinal = type - NALU_t.SPS
if nalu == CPD[ordinal]:
logging.info(
f"frame[{meta['count']+1}] same {NALU_t(type).name}({nalu[:8].tobytes()}) at {pos} as in CPD({CPD[ordinal][:8]})"
)
else:
# FIXME may expect the CPD to be inserted in the beginning?
logging.warning(
f"frame[{meta['count']+1}] inconsistent {NALU_t(type).name}({nalu[:8].tobytes()}) at {pos} with CPD({CPD[ordinal][:8]})"
)
print(f"CPD {NALU_t(type).name}:",
CPD[ordinal])
print(f"NALU {NALU_t(type).name}:",
nalu.tobytes())
# XXX bitstream may present invalid CPD => replacement with bitstream SPS/PPS
CPD[ordinal] = nalu
else:
NALUs.append(nalu)
logging.info(
f"frame[{meta['count']+1}] {NALU_t(type).name} at {pos}: {nalu[:8].tobytes()} ending with {nalu[-1:].tobytes()}"
)
# XXX KVS master is ready to filter out non-VCL NALUs as part of the CPD
# elif type in (NALU_t.IDR, NALU_t.NIDR):
elif type in (NALU_t.AUD, NALU_t.SEI, NALU_t.IDR,
NALU_t.NIDR):
NALUs.append(nalu)
logging.info(
f"frame[{meta['count']+1}] {NALU_t(type).name} at {pos}: {nalu[:8].tobytes()}"
)
else:
# FIXME may expect CPD to be inserted in the beginning?
logging.warning(
f"frame[{meta['count']+1}] skipped unexpected NALU(type={type}) at {pos}: {nalu[:8].tobytes()}"
)
logging.info(
f"{pkt.is_keyframe and 'key ' or ''}frame[{meta['count']}] combining CPD({len(CPD)}) and NALUs({len(NALUs)})"
)
else:
NALUs.append(memoryview(pkt))
logging.info(
f"{pkt.is_keyframe and 'key ' or ''}frame[{meta['count']}] prepending CPD({len(CPD)})"
)
packet = av.Packet(bytearray(b''.join(CPD + NALUs)))
packet.dts = pkt.dts
packet.pts = pkt.pts
packet.time_base = pkt.time_base
pkt = packet
if pkt.pts is None:
logging.warning(
f"Initial packet dts/pts={pkt.dts}/{pkt.pts}, time_base={pkt.time_base}"
)
elif pkt.pts > 0:
logging.warning(
f"Reset dts/pts of 1st frame from {pkt.pts} to 0")
pkt.pts = pkt.dts = 0
elif 'dash' in sformat:
# TODO In case of out of band CPD: SPS/PPS in AVCC.
logging.info(f"DASH AVCC extradata: {codec.extradata}")
logging.info(
f"pkt[:16]({pkt.is_keyframe}) {memoryview(pkt)[:16].tobytes()}"
)
else:
keyframe = pkt.is_keyframe
logging.debug(
f"packet[{meta['count']}] {keyframe and 'key ' or ''}dts/pts={pkt.dts}/{pkt.pts}, time_base={pkt.time_base}, duration={pkt.duration}"
)
if 'hls' in sformat or 'rtsp' in sformat or '264' in sformat:
NALUs = []
if workaround:
for (pos, _, _,
type), nalu in NALUParser(memoryview(pkt),
workaround=workaround):
# assert hasStartCode(nalu), f"frame[{meta['count']+1}] NALU(type={type}) at {pos} without START CODE: {nalu[:8].tobytes()}"
# FIXME KVS master is not ready to take AUD/SEI as part of the CPD
# if type in (NALU_t.SPS, NALU_t.PPS, NALU_t.IDR, NALU_t.NIDR):
if type in (NALU_t.AUD, NALU_t.SEI, NALU_t.SPS,
NALU_t.PPS, NALU_t.IDR, NALU_t.NIDR):
NALUs.append(nalu)
logging.debug(
f"frame[{meta['count']+1}] {NALU_t(type).name} at {pos}: {nalu[:8].tobytes()}"
)
else:
# FIXME may expect CPD to be inserted?
logging.debug(
f"frame[{meta['count']+1}] skipped NALU(type={type}) at {pos}: {nalu[:8].tobytes()} ending with {nalu[-1:].tobytes()}"
)
else:
NALUs.append(memoryview(pkt))
# XXX Assme no SPS/PPS change
packet = av.Packet(bytearray(b''.join(NALUs)))
packet.dts = pkt.dts
packet.pts = pkt.pts
packet.time_base = pkt.time_base
pkt = packet
frame = prev
if session['decoding']:
try:
frames = codec.decode(prev)
if not frames:
logging.warning(
f"Decoded nothing, continue to read...")
meta['prev'] = pkt
meta['count'] += 1
continue
except Exception as e:
logging.error(
f"Failed to decode video packet of size {prev.size}: {e}"
)
raise e
else:
# print(prev, frames)
frame = frames[0]
meta['width'] = frame.width
meta['height'] = frame.height
if format == 'BGR':
frame = frame.to_rgb().to_ndarray()[:, :, ::-1]
elif format == 'RGB':
frame = frame.to_rgb().to_ndarray()
if session['rt']:
'''
Live source from network or local camera encoder.
Bitstream contains no pts but frame duration.
Adaptive frame duration on drift from wall clock:
- Faster for long frame buffering
- Fall behind for being slower than claimed FPS: resync as now
'''
if pkt.pts is not None and not meta['drifting']:
# Check if drifting
if prev.pts is None:
prev.dts = prev.pts = 0
logging.warning(
"Reset previous packet dts/pts from None to 0")
duration = float((pkt.pts - prev.pts) * pkt.time_base)
# assert duration > 0, f"pkt.pts={pkt.pts}, prev.pts={prev.pts}, pkt.time_base={pkt.time_base}, pkt.duration={pkt.duration}, prev.duration={prev.duration}, duration={duration}"
if duration <= 0:
# FIXME RTSP from Dahua/QB and WiseNet/Ernie
pts = prev.pts + (meta['duration'] /
pkt.time_base) / 2
duration = float((pts - prev.pts) * pkt.time_base)
logging.warning(
f"Non-increasing pts: pkt.pts={pkt.pts}, prev.pts={prev.pts} => pts={pts}, duration={duration}"
)
pkt.pts = pts
timestamp = meta['time'] + duration
if meta['adaptive']:
# adaptive frame duration only if not KVS
diff = abs(timestamp - now)
threshold = meta['thresholds']['drifting']
if diff > threshold:
meta['drifting'] = True
logging.warning(
f"Drifting video timestamps: abs({timestamp:.3f} - {now:.3f}) = {diff:.3f} > {threshold}s"
)
if pkt.pts is None or meta['drifting']:
# Real-time against wall clock
duration = now - meta['time']
duration = min(1.5 / meta['fps'], duration)
duration = max(0.5 / meta['fps'], duration)
meta['duration'] = duration
yield meta, frame
meta['time'] += duration
else:
meta['duration'] = duration
yield meta, frame
meta['time'] = timestamp
else:
# TODO: no sleep for being handled by renderer playback
# Simulating RT
meta['duration'] = 1.0 / meta['fps']
slack = (meta['time'] + meta['duration']) - now
if slack > 0:
logging.debug(
f"Sleeping for {slack:.3f}s to simulate RT source")
time.sleep(slack)
yield meta, frame
meta['time'] += meta['duration']
meta['keyframe'] = keyframe
if pkt.size == 0:
logging.warning(f"EOF/EOS on empty packet")
return None
else:
meta['prev'] = pkt
meta['count'] += 1