openpilot is an open source driver assistance system. openpilot performs the functions of Automated Lane Centering and Adaptive Cruise Control for over 200 supported car makes and models.
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5 years ago
import os
import struct
import bisect
import numpy as np
import _io
import capnp
from cereal import log as capnp_log
class RawData():
def __init__(self, f):
self.f = _io.FileIO(f, 'rb')
self.lenn = struct.unpack("I", self.f.read(4))[0]
self.count = os.path.getsize(f) / (self.lenn+4)
def read(self, i):
self.f.seek((self.lenn+4)*i + 4)
return self.f.read(self.lenn)
def yuv420_to_rgb(raw, image_dim=None, swizzled=False):
def expand(x):
x = np.repeat(x, 2, axis=0)
return np.repeat(x, 2, axis=1)
if image_dim is None:
image_dim = (raw.shape[1]*2, raw.shape[2]*2)
swizzled = True
if not swizzled:
img_data = np.array(raw, copy=False, dtype=np.uint8)
uv_len = (image_dim[0]/2)*(image_dim[1]/2)
img_data_u = expand(img_data[image_dim[0]*image_dim[1]: \
image_dim[0]*image_dim[1]+uv_len]. \
reshape(image_dim[0]/2, image_dim[1]/2))
img_data_v = expand(img_data[image_dim[0]*image_dim[1]+uv_len: \
image_dim[0]*image_dim[1]+2*uv_len]. \
reshape(image_dim[0]/2, image_dim[1]/2))
img_data_y = img_data[0:image_dim[0]*image_dim[1]].reshape(image_dim)
else:
img_data_y = np.zeros(image_dim, dtype=np.uint8)
img_data_y[0::2, 0::2] = raw[0]
img_data_y[1::2, 0::2] = raw[1]
img_data_y[0::2, 1::2] = raw[2]
img_data_y[1::2, 1::2] = raw[3]
img_data_u = expand(raw[4])
img_data_v = expand(raw[5])
yuv = np.stack((img_data_y, img_data_u, img_data_v)).swapaxes(0,2).swapaxes(0,1)
yuv = yuv.astype(np.int16)
# http://maxsharabayko.blogspot.com/2016/01/fast-yuv-to-rgb-conversion-in-python-3.html
# according to ITU-R BT.709
yuv[:,:, 0] = yuv[:,:, 0].clip(16, 235).astype(yuv.dtype) - 16
yuv[:,:,1:] = yuv[:,:,1:].clip(16, 240).astype(yuv.dtype) - 128
A = np.array([[1.164, 0.000, 1.793],
[1.164, -0.213, -0.533],
[1.164, 2.112, 0.000]])
# our result
img = np.dot(yuv, A.T).clip(0, 255).astype('uint8')
return img
class YuvData():
def __init__(self, f, dim=(160,320)):
self.f = _io.FileIO(f, 'rb')
self.image_dim = dim
self.image_size = self.image_dim[0]/2 * self.image_dim[1]/2 * 6
self.count = os.path.getsize(f) / self.image_size
def read_frame(self, frame):
self.f.seek(self.image_size*frame)
raw = self.f.read(self.image_size)
return raw
def read_frames(self, range_start, range_len):
self.f.seek(self.image_size*range_start)
raw = self.f.read(self.image_size*range_len)
return raw
def read_frames_into(self, range_start, buf):
self.f.seek(self.image_size*range_start)
return self.f.readinto(buf)
def read(self, frame):
return yuv420_to_rgb(self.read_frame(frame), self.image_dim)
def close(self):
self.f.close()
def __enter__(self):
return self
def __exit__(self, type, value, traceback):
self.close()
class OneReader():
def __init__(self, base_path, goofy=False, segment_range=None):
self.base_path = base_path
route_name = os.path.basename(base_path)
self.rcamera_size = (304, 560)
if segment_range is None:
parent_path = os.path.dirname(base_path)
self.segment_nums = []
for p in os.listdir(parent_path):
if not p.startswith(route_name+"--"):
continue
self.segment_nums.append(int(p.rsplit("--", 1)[-1]))
if not self.segment_nums:
raise Exception("no route segments found")
self.segment_nums.sort()
self.segment_range = (self.segment_nums[0], self.segment_nums[-1])
else:
self.segment_range = segment_range
self.segment_nums = range(segment_range[0], segment_range[1]+1)
for i in self.segment_nums:
if not os.path.exists(base_path+"--"+str(i)):
raise Exception("missing segment in provided range")
# goofy data is broken with discontinuous logs
if goofy and (self.segment_range[0] != 0
or self.segment_nums != range(self.segment_range[0], self.segment_range[1]+1)):
raise Exception("goofy data needs all the segments for a route")
self.cur_seg = None
self.cur_seg_f = None
# index the frames
print("indexing frames {}...".format(self.segment_nums))
self.rcamera_encode_map = {} # frame_id -> (segment num, segment id, frame_time)
last_frame_id = -1
if goofy:
# goofy is goofy
frame_size = self.rcamera_size[0]*self.rcamera_size[1]*3/2
# find the encode id ranges for each segment by using the rcamera file size
segment_encode_ids = []
cur_encode_id = 0
for n in self.segment_nums:
camera_path = os.path.join(self.seg_path(n), "rcamera")
if not os.path.exists(camera_path):
# for goofy, missing camera files means a bad route
raise Exception("Missing camera file {}".format(camera_path))
camera_size = os.path.getsize(camera_path)
assert (camera_size % frame_size) == 0
num_frames = camera_size / frame_size
segment_encode_ids.append(cur_encode_id)
cur_encode_id += num_frames
last_encode_id = -1
# use the segment encode id map and frame events to build the frame index
for n in self.segment_nums:
log_path = os.path.join(self.seg_path(n), "rlog")
if os.path.exists(log_path):
with open(log_path, "rb") as f:
for evt in capnp_log.Event.read_multiple(f):
if evt.which() == 'frame':
if evt.frame.frameId < last_frame_id:
# a non-increasing frame id is bad route (eg visiond was restarted)
raise Exception("non-increasing frame id")
last_frame_id = evt.frame.frameId
seg_i = bisect.bisect_right(segment_encode_ids, evt.frame.encodeId)-1
assert seg_i >= 0
seg_num = self.segment_nums[seg_i]
seg_id = evt.frame.encodeId-segment_encode_ids[seg_i]
frame_time = evt.logMonoTime / 1.0e9
self.rcamera_encode_map[evt.frame.frameId] = (seg_num, seg_id,
frame_time)
last_encode_id = evt.frame.encodeId
if last_encode_id-cur_encode_id > 10:
# too many missing frames is a bad route (eg route from before encoder rotating worked)
raise Exception("goofy route is missing frames: {}, {}".format(
last_encode_id, cur_encode_id))
else:
# for harry data, build the index from encodeIdx events
for n in self.segment_nums:
log_path = os.path.join(self.seg_path(n), "rlog")
if os.path.exists(log_path):
with open(log_path, "rb") as f:
for evt in capnp_log.Event.read_multiple(f):
if evt.which() == 'encodeIdx' and evt.encodeIdx.type == 'bigBoxLossless':
frame_time = evt.logMonoTime / 1.0e9
self.rcamera_encode_map[evt.encodeIdx.frameId] = (
evt.encodeIdx.segmentNum, evt.encodeIdx.segmentId,
frame_time)
print("done")
# read the first event to find the start time
self.reset_to_seg(self.segment_range[0])
for evt in self.events():
if evt.which() != 'initData':
self.start_mono = evt.logMonoTime
break
self.reset_to_seg(self.segment_range[0])
def seg_path(self, num):
return self.base_path+"--"+str(num)
def reset_to_seg(self, seg):
self.cur_seg = seg
if self.cur_seg_f:
self.cur_seg_f.close()
self.cur_seg_f = None
def seek_ts(self, ts):
seek_seg = int(ts/60)
if seek_seg < self.segment_range[0] or seek_seg > self.segment_range[1]:
raise ValueError
self.reset_to_seg(seek_seg)
target_mono = self.start_mono + int(ts*1e9)
for evt in self.events():
if evt.logMonoTime >= target_mono:
break
def read_event(self):
while True:
if self.cur_seg > self.segment_range[1]:
return None
if self.cur_seg_f is None:
log_path = os.path.join(self.seg_path(self.cur_seg), "rlog")
if not os.path.exists(log_path):
print("missing log file!", log_path)
self.cur_seg += 1
continue
self.cur_seg_f = open(log_path, "rb")
try:
return capnp_log.Event.read(self.cur_seg_f)
except capnp.lib.capnp.KjException as e:
if 'EOF' in str(e): # dumb, but pycapnp does this too
self.cur_seg_f.close()
self.cur_seg_f = None
self.cur_seg += 1
else:
raise
def events(self):
while True:
r = self.read_event()
if r is None:
break
yield r
def read_frame(self, frame_id):
encode_idx = self.rcamera_encode_map.get(frame_id)
if encode_idx is None:
return None
seg_num, seg_id, _ = encode_idx
camera_path = os.path.join(self.seg_path(seg_num), "rcamera")
if not os.path.exists(camera_path):
return None
with YuvData(camera_path, self.rcamera_size) as data:
return data.read_frame(seg_id)
def close(self):
if self.cur_seg_f is not None:
self.cur_seg_f.close()
def __enter__(self):
return self
def __exit__(self, type, value, traceback):
self.close()