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update devkit server and model files

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lenn
2026-06-02 09:43:05 +08:00
parent 0812142359
commit 78c4445b93
40 changed files with 66301 additions and 316 deletions
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This file lists modules PyInstaller was not able to find. This does not
necessarily mean these modules are required for running your program. Both
Python's standard library and 3rd-party Python packages often conditionally
import optional modules, some of which may be available only on certain
platforms.
Types of import:
* top-level: imported at the top-level - look at these first
* conditional: imported within an if-statement
* delayed: imported within a function
* optional: imported within a try-except-statement
IMPORTANT: Do NOT post this list to the issue-tracker. Use it as a basis for
tracking down the missing module yourself. Thanks!
missing module named pwd - imported by posixpath (delayed, conditional, optional), shutil (delayed, optional), tarfile (optional), pathlib._local (optional), subprocess (delayed, conditional, optional), http.server (delayed, optional), netrc (delayed, optional), getpass (delayed, optional)
missing module named grp - imported by shutil (delayed, optional), tarfile (optional), pathlib._local (optional), subprocess (delayed, conditional, optional)
missing module named 'collections.abc' - imported by traceback (top-level), typing (top-level), inspect (top-level), logging (top-level), importlib.resources.readers (top-level), selectors (top-level), tracemalloc (top-level), http.client (top-level), typing_extensions (top-level), asyncio.base_events (top-level), asyncio.coroutines (top-level), grpc.aio._metadata (top-level), google.protobuf.internal.containers (top-level), google.protobuf.internal.well_known_types (top-level), numpy._typing._array_like (top-level), numpy._typing._nested_sequence (conditional), numpy._typing._shape (top-level), numpy._typing._dtype_like (top-level), numpy.lib._function_base_impl (top-level), numpy.lib._npyio_impl (top-level), numpy.random._common (top-level), numpy.random._generator (top-level), numpy.random.bit_generator (top-level), numpy.random.mtrand (top-level), numpy.polynomial._polybase (top-level), xml.etree.ElementTree (top-level)
missing module named _posixsubprocess - imported by subprocess (conditional), multiprocessing.util (delayed)
missing module named fcntl - imported by subprocess (optional)
missing module named _posixshmem - imported by multiprocessing.resource_tracker (conditional), multiprocessing.shared_memory (conditional)
missing module named _scproxy - imported by urllib.request (conditional)
missing module named termios - imported by tty (top-level), _pyrepl.pager (delayed, optional), getpass (optional)
missing module named multiprocessing.BufferTooShort - imported by multiprocessing (top-level), multiprocessing.connection (top-level)
missing module named multiprocessing.AuthenticationError - imported by multiprocessing (top-level), multiprocessing.connection (top-level)
missing module named _frozen_importlib_external - imported by importlib._bootstrap (delayed), importlib (optional), importlib.abc (optional), zipimport (top-level)
excluded module named _frozen_importlib - imported by importlib (optional), importlib.abc (optional), zipimport (top-level)
missing module named posix - imported by os (conditional, optional), posixpath (optional), shutil (conditional), importlib._bootstrap_external (conditional)
missing module named resource - imported by posix (top-level)
missing module named multiprocessing.get_context - imported by multiprocessing (top-level), multiprocessing.pool (top-level), multiprocessing.managers (top-level), multiprocessing.sharedctypes (top-level)
missing module named multiprocessing.TimeoutError - imported by multiprocessing (top-level), multiprocessing.pool (top-level)
missing module named multiprocessing.set_start_method - imported by multiprocessing (top-level), multiprocessing.spawn (top-level)
missing module named multiprocessing.get_start_method - imported by multiprocessing (top-level), multiprocessing.spawn (top-level)
missing module named pyimod02_importers - imported by C:\Users\Administrator\miniconda3\Lib\site-packages\PyInstaller\hooks\rthooks\pyi_rth_pkgutil.py (delayed)
missing module named _dummy_thread - imported by numpy._core.arrayprint (optional)
missing module named asyncio.DefaultEventLoopPolicy - imported by asyncio (delayed, conditional), asyncio.events (delayed, conditional)
missing module named annotationlib - imported by typing_extensions (conditional)
missing module named 'numpy_distutils.cpuinfo' - imported by numpy.f2py.diagnose (delayed, conditional, optional)
missing module named 'numpy_distutils.fcompiler' - imported by numpy.f2py.diagnose (delayed, conditional, optional)
missing module named 'numpy_distutils.command' - imported by numpy.f2py.diagnose (delayed, conditional, optional)
missing module named numpy_distutils - imported by numpy.f2py.diagnose (delayed, optional)
missing module named vms_lib - imported by platform (delayed, optional)
missing module named 'java.lang' - imported by platform (delayed, optional)
missing module named java - imported by platform (delayed)
missing module named psutil - imported by numpy.testing._private.utils (delayed, optional)
missing module named readline - imported by cmd (delayed, conditional, optional), code (delayed, conditional, optional), pdb (delayed, conditional, optional), rlcompleter (optional)
missing module named win32pdh - imported by numpy.testing._private.utils (delayed, conditional)
missing module named _typeshed - imported by numpy.random.bit_generator (top-level)
missing module named numpy.random.RandomState - imported by numpy.random (top-level), numpy.random._generator (top-level)
missing module named threadpoolctl - imported by numpy.lib._utils_impl (delayed, optional)
missing module named numpy._core.zeros - imported by numpy._core (top-level), numpy.linalg._linalg (top-level), numpy (conditional)
missing module named numpy._core.vstack - imported by numpy._core (top-level), numpy.lib._shape_base_impl (top-level), numpy (conditional)
missing module named numpy._core.void - imported by numpy._core (conditional), numpy (conditional)
missing module named numpy._core.vecmat - imported by numpy._core (conditional), numpy (conditional)
missing module named numpy._core.vecdot - imported by numpy._core (top-level), numpy.linalg._linalg (top-level), numpy (conditional)
missing module named numpy._core.ushort - imported by numpy._core (conditional), numpy (conditional)
missing module named numpy._core.unsignedinteger - imported by numpy._core (conditional), numpy (conditional)
missing module named numpy._core.ulonglong - imported by numpy._core (conditional), numpy (conditional)
missing module named numpy._core.ulong - imported by numpy._core (conditional), numpy (conditional)
missing module named numpy._core.uintp - imported by numpy._core (conditional), numpy (conditional)
missing module named numpy._core.uintc - imported by numpy._core (conditional), numpy (conditional)
missing module named numpy._core.uint64 - imported by numpy._core (conditional), numpy (conditional), numpy._array_api_info (top-level)
missing module named numpy._core.uint32 - imported by numpy._core (conditional), numpy (conditional), numpy._array_api_info (top-level)
missing module named numpy._core.uint16 - imported by numpy._core (conditional), numpy (conditional), numpy._array_api_info (top-level)
missing module named numpy._core.uint - imported by numpy._core (conditional), numpy (conditional)
missing module named numpy._core.ubyte - imported by numpy._core (conditional), numpy (conditional)
missing module named numpy._core.trunc - imported by numpy._core (conditional), numpy (conditional)
missing module named numpy._core.true_divide - imported by numpy._core (conditional), numpy (conditional)
missing module named numpy._core.transpose - imported by numpy._core (top-level), numpy.linalg._linalg (top-level), numpy.lib._function_base_impl (top-level), numpy (conditional)
missing module named numpy._core.trace - imported by numpy._core (top-level), numpy.linalg._linalg (top-level), numpy (conditional)
missing module named numpy._core.timedelta64 - imported by numpy._core (conditional), numpy (conditional)
missing module named numpy._core.tensordot - imported by numpy._core (top-level), numpy.linalg._linalg (top-level), numpy (conditional)
missing module named numpy._core.tanh - imported by numpy._core (conditional), numpy (conditional)
missing module named numpy._core.tan - imported by numpy._core (conditional), numpy (conditional)
missing module named numpy._core.swapaxes - imported by numpy._core (top-level), numpy.linalg._linalg (top-level), numpy (conditional)
missing module named numpy._core.sum - imported by numpy._core (top-level), numpy.linalg._linalg (top-level), numpy (conditional)
missing module named numpy._core.subtract - imported by numpy._core (conditional), numpy (conditional)
missing module named numpy._core.str_ - imported by numpy._core (conditional), numpy (conditional)
missing module named numpy._core.square - imported by numpy._core (conditional), numpy (conditional)
missing module named numpy._core.sqrt - imported by numpy._core (top-level), numpy.linalg._linalg (top-level), numpy (conditional), numpy.fft._pocketfft (top-level)
missing module named numpy._core.spacing - imported by numpy._core (conditional), numpy (conditional)
missing module named numpy._core.sort - imported by numpy._core (top-level), numpy.linalg._linalg (top-level), numpy (conditional)
missing module named numpy._core.sinh - imported by numpy._core (conditional), numpy (conditional)
missing module named numpy._core.single - imported by numpy._core (top-level), numpy.linalg._linalg (top-level), numpy (conditional)
missing module named numpy._core.signedinteger - imported by numpy._core (conditional), numpy (conditional)
missing module named numpy._core.signbit - imported by numpy._core (delayed), numpy.testing._private.utils (delayed), numpy (conditional)
missing module named numpy._core.sign - imported by numpy._core (conditional), numpy (conditional)
missing module named numpy._core.short - imported by numpy._core (conditional), numpy (conditional)
missing module named numpy._core.rint - imported by numpy._core (conditional), numpy (conditional)
missing module named numpy._core.right_shift - imported by numpy._core (conditional), numpy (conditional)
missing module named numpy._core.result_type - imported by numpy._core (delayed), numpy.testing._private.utils (delayed), numpy (conditional), numpy.fft._pocketfft (top-level)
missing module named numpy._core.remainder - imported by numpy._core (conditional), numpy (conditional)
missing module named numpy._core.reciprocal - imported by numpy._core (top-level), numpy.linalg._linalg (top-level), numpy (conditional), numpy.fft._pocketfft (top-level)
missing module named numpy._core.radians - imported by numpy._core (conditional), numpy (conditional)
missing module named numpy._core.rad2deg - imported by numpy._core (conditional), numpy (conditional)
missing module named numpy._core.prod - imported by numpy._core (top-level), numpy.linalg._linalg (top-level), numpy (conditional)
missing module named numpy._core.power - imported by numpy._core (conditional), numpy (conditional)
missing module named numpy._core.positive - imported by numpy._core (conditional), numpy (conditional)
missing module named numpy._core.pi - imported by numpy._core (conditional), numpy (conditional)
missing module named numpy._core.outer - imported by numpy._core (top-level), numpy.linalg._linalg (top-level), numpy (conditional)
missing module named numpy._core.ones - imported by numpy._core (top-level), numpy.lib._polynomial_impl (top-level), numpy (conditional)
missing module named numpy._core.object_ - imported by numpy._core (top-level), numpy.linalg._linalg (top-level), numpy.testing._private.utils (delayed), numpy (conditional)
missing module named numpy._core.number - imported by numpy._core (delayed), numpy.testing._private.utils (delayed), numpy (conditional)
missing module named numpy._core.not_equal - imported by numpy._core (conditional), numpy (conditional)
missing module named numpy._core.nextafter - imported by numpy._core (conditional), numpy (conditional)
missing module named numpy._core.newaxis - imported by numpy._core (top-level), numpy.linalg._linalg (top-level), numpy (conditional)
missing module named numpy._core.negative - imported by numpy._core (conditional), numpy (conditional)
missing module named numpy._core.ndarray - imported by numpy._core (top-level), numpy.testing._private.utils (top-level), numpy.lib._utils_impl (top-level), numpy (conditional)
missing module named numpy._core.multiply - imported by numpy._core (top-level), numpy.linalg._linalg (top-level), numpy (conditional)
missing module named numpy._core.moveaxis - imported by numpy._core (top-level), numpy.linalg._linalg (top-level), numpy (conditional)
missing module named numpy._core.modf - imported by numpy._core (conditional), numpy (conditional)
missing module named numpy._core.mod - imported by numpy._core (conditional), numpy (conditional)
missing module named numpy._core.minimum - imported by numpy._core (conditional), numpy (conditional)
missing module named numpy._core.maximum - imported by numpy._core (conditional), numpy (conditional)
missing module named numpy._core.max - imported by numpy._core (delayed), numpy.testing._private.utils (delayed), numpy (conditional)
missing module named numpy._core.matvec - imported by numpy._core (conditional), numpy (conditional)
missing module named numpy._core.matrix_transpose - imported by numpy._core (top-level), numpy.linalg._linalg (top-level), numpy (conditional)
missing module named numpy._core.matmul - imported by numpy._core (top-level), numpy.linalg._linalg (top-level), numpy (conditional)
missing module named numpy._core.longlong - imported by numpy._core (conditional), numpy (conditional)
missing module named numpy._core.longdouble - imported by numpy._core (conditional), numpy (conditional)
missing module named numpy._core.long - imported by numpy._core (conditional), numpy (conditional)
missing module named numpy._core.logical_xor - imported by numpy._core (conditional), numpy (conditional)
missing module named numpy._core.logical_or - imported by numpy._core (conditional), numpy (conditional)
missing module named numpy._core.logical_not - imported by numpy._core (conditional), numpy (conditional)
missing module named numpy._core.logical_and - imported by numpy._core (conditional), numpy (conditional)
missing module named numpy._core.logaddexp2 - imported by numpy._core (conditional), numpy (conditional)
missing module named numpy._core.logaddexp - imported by numpy._core (conditional), numpy (conditional)
missing module named numpy._core.log10 - imported by numpy._core (conditional), numpy (conditional)
missing module named numpy._core.log2 - imported by numpy._core (conditional), numpy (conditional)
missing module named numpy._core.log1p - imported by numpy._core (conditional), numpy (conditional)
missing module named numpy._core.log - imported by numpy._core (conditional), numpy (conditional)
missing module named numpy._core.linspace - imported by numpy._core (top-level), numpy.lib._index_tricks_impl (top-level), numpy (conditional)
missing module named numpy._core.less_equal - imported by numpy._core (conditional), numpy (conditional)
missing module named numpy._core.less - imported by numpy._core (conditional), numpy (conditional)
missing module named numpy._core.left_shift - imported by numpy._core (conditional), numpy (conditional)
missing module named numpy._core.ldexp - imported by numpy._core (conditional), numpy (conditional)
missing module named numpy._core.lcm - imported by numpy._core (conditional), numpy (conditional)
missing module named numpy._core.isscalar - imported by numpy._core (delayed), numpy.testing._private.utils (delayed), numpy.lib._polynomial_impl (top-level), numpy (conditional)
missing module named numpy._core.isnat - imported by numpy._core (top-level), numpy.testing._private.utils (top-level), numpy (conditional)
missing module named numpy._core.isnan - imported by numpy._core (top-level), numpy.linalg._linalg (top-level), numpy.testing._private.utils (delayed), numpy (conditional)
missing module named numpy._core.isfinite - imported by numpy._core (top-level), numpy.linalg._linalg (top-level), numpy (conditional)
missing module named numpy._core.intp - imported by numpy._core (top-level), numpy.linalg._linalg (top-level), numpy.testing._private.utils (top-level), numpy (conditional), numpy._array_api_info (top-level)
missing module named numpy._core.integer - imported by numpy._core (conditional), numpy (conditional), numpy.fft._helper (top-level)
missing module named numpy._core.intc - imported by numpy._core (top-level), numpy.linalg._linalg (top-level), numpy (conditional)
missing module named numpy._core.int64 - imported by numpy._core (conditional), numpy (conditional), numpy._array_api_info (top-level)
missing module named numpy._core.int32 - imported by numpy._core (conditional), numpy (conditional), numpy._array_api_info (top-level)
missing module named numpy._core.int16 - imported by numpy._core (conditional), numpy (conditional), numpy._array_api_info (top-level)
missing module named numpy._core.int8 - imported by numpy._core (conditional), numpy (conditional), numpy._array_api_info (top-level)
missing module named numpy._core.inf - imported by numpy._core (top-level), numpy.linalg._linalg (top-level), numpy.testing._private.utils (delayed), numpy (conditional)
missing module named numpy._core.inexact - imported by numpy._core (top-level), numpy.linalg._linalg (top-level), numpy (conditional)
missing module named numpy._core.iinfo - imported by numpy._core (top-level), numpy.lib._twodim_base_impl (top-level), numpy (conditional)
missing module named numpy._core.hypot - imported by numpy._core (conditional), numpy (conditional)
missing module named numpy._core.hstack - imported by numpy._core (top-level), numpy.lib._polynomial_impl (top-level), numpy (conditional)
missing module named numpy._core.heaviside - imported by numpy._core (conditional), numpy (conditional)
missing module named numpy._core.half - imported by numpy._core (conditional), numpy (conditional)
missing module named numpy._core.greater_equal - imported by numpy._core (conditional), numpy (conditional)
missing module named numpy._core.greater - imported by numpy._core (conditional), numpy (conditional)
missing module named numpy._core.gcd - imported by numpy._core (conditional), numpy (conditional)
missing module named numpy._core.frompyfunc - imported by numpy._core (conditional), numpy (conditional)
missing module named numpy._core.frexp - imported by numpy._core (conditional), numpy (conditional)
missing module named numpy._core.fmod - imported by numpy._core (conditional), numpy (conditional)
missing module named numpy._core.fmin - imported by numpy._core (conditional), numpy (conditional)
missing module named numpy._core.fmax - imported by numpy._core (conditional), numpy (conditional)
missing module named numpy._core.floor_divide - imported by numpy._core (conditional), numpy (conditional)
missing module named numpy._core.floor - imported by numpy._core (conditional), numpy (conditional)
missing module named numpy._core.floating - imported by numpy._core (conditional), numpy (conditional)
missing module named numpy._core.float_power - imported by numpy._core (conditional), numpy (conditional)
missing module named numpy._core.float32 - imported by numpy._core (top-level), numpy.testing._private.utils (top-level), numpy (conditional), numpy._array_api_info (top-level)
missing module named numpy._core.float16 - imported by numpy._core (conditional), numpy (conditional)
missing module named numpy._core.finfo - imported by numpy._core (top-level), numpy.linalg._linalg (top-level), numpy.lib._polynomial_impl (top-level), numpy (conditional)
missing module named numpy._core.fabs - imported by numpy._core (conditional), numpy (conditional)
missing module named numpy._core.expm1 - imported by numpy._core (conditional), numpy (conditional)
missing module named numpy._core.exp2 - imported by numpy._core (conditional), numpy (conditional)
missing module named numpy._core.exp - imported by numpy._core (conditional), numpy (conditional)
missing module named numpy._core.euler_gamma - imported by numpy._core (conditional), numpy (conditional)
missing module named numpy._core.errstate - imported by numpy._core (top-level), numpy.linalg._linalg (top-level), numpy.testing._private.utils (delayed), numpy (conditional)
missing module named numpy._core.equal - imported by numpy._core (conditional), numpy (conditional)
missing module named numpy._core.empty_like - imported by numpy._core (top-level), numpy.linalg._linalg (top-level), numpy (conditional), numpy.fft._pocketfft (top-level)
missing module named numpy._core.empty - imported by numpy._core (top-level), numpy.linalg._linalg (top-level), numpy.testing._private.utils (top-level), numpy (conditional), numpy.fft._helper (top-level)
missing module named numpy._core.e - imported by numpy._core (conditional), numpy (conditional)
missing module named numpy._core.double - imported by numpy._core (top-level), numpy.linalg._linalg (top-level), numpy (conditional)
missing module named numpy._core.dot - imported by numpy._core (top-level), numpy.linalg._linalg (top-level), numpy.lib._polynomial_impl (top-level), numpy (conditional)
missing module named numpy._core.divmod - imported by numpy._core (conditional), numpy (conditional)
missing module named numpy._core.divide - imported by numpy._core (top-level), numpy.linalg._linalg (top-level), numpy (conditional)
missing module named numpy._core.diagonal - imported by numpy._core (top-level), numpy.linalg._linalg (top-level), numpy (conditional)
missing module named numpy._core.degrees - imported by numpy._core (conditional), numpy (conditional)
missing module named numpy._core.deg2rad - imported by numpy._core (conditional), numpy (conditional)
missing module named numpy._core.datetime64 - imported by numpy._core (conditional), numpy (conditional)
missing module named numpy._core.csingle - imported by numpy._core (top-level), numpy.linalg._linalg (top-level), numpy (conditional)
missing module named numpy._core.cross - imported by numpy._core (top-level), numpy.linalg._linalg (top-level), numpy (conditional)
missing module named numpy._core.count_nonzero - imported by numpy._core (top-level), numpy.linalg._linalg (top-level), numpy (conditional)
missing module named numpy._core.cosh - imported by numpy._core (conditional), numpy (conditional)
missing module named numpy._core.cos - imported by numpy._core (conditional), numpy (conditional)
missing module named numpy._core.copysign - imported by numpy._core (conditional), numpy (conditional)
missing module named numpy._core.conjugate - imported by numpy._core (conditional), numpy (conditional), numpy.fft._pocketfft (top-level)
missing module named numpy._core.conj - imported by numpy._core (conditional), numpy (conditional)
missing module named numpy._core.complexfloating - imported by numpy._core (top-level), numpy.linalg._linalg (top-level), numpy (conditional)
missing module named numpy._core.complex64 - imported by numpy._core (conditional), numpy (conditional), numpy._array_api_info (top-level)
missing module named numpy._core.clongdouble - imported by numpy._core (conditional), numpy (conditional)
missing module named numpy._core.character - imported by numpy._core (conditional), numpy (conditional)
missing module named numpy._core.ceil - imported by numpy._core (conditional), numpy (conditional)
missing module named numpy._core.cdouble - imported by numpy._core (top-level), numpy.linalg._linalg (top-level), numpy (conditional)
missing module named numpy._core.cbrt - imported by numpy._core (conditional), numpy (conditional)
missing module named numpy._core.bytes_ - imported by numpy._core (conditional), numpy (conditional)
missing module named numpy._core.byte - imported by numpy._core (conditional), numpy (conditional)
missing module named numpy._core.bool_ - imported by numpy._core (conditional), numpy (conditional)
missing module named numpy._core.bitwise_xor - imported by numpy._core (conditional), numpy (conditional)
missing module named numpy._core.bitwise_or - imported by numpy._core (conditional), numpy (conditional)
missing module named numpy._core.bitwise_count - imported by numpy._core (conditional), numpy (conditional)
missing module named numpy._core.bitwise_and - imported by numpy._core (conditional), numpy (conditional)
missing module named numpy._core.atleast_3d - imported by numpy._core (top-level), numpy.lib._shape_base_impl (top-level), numpy (conditional)
missing module named numpy._core.atleast_2d - imported by numpy._core (top-level), numpy.linalg._linalg (top-level), numpy (conditional)
missing module named numpy._core.atleast_1d - imported by numpy._core (top-level), numpy.lib._polynomial_impl (top-level), numpy (conditional)
missing module named numpy._core.asarray - imported by numpy._core (top-level), numpy.linalg._linalg (top-level), numpy.lib._array_utils_impl (top-level), numpy (conditional), numpy.fft._helper (top-level), numpy.fft._pocketfft (top-level)
missing module named numpy._core.asanyarray - imported by numpy._core (top-level), numpy.linalg._linalg (top-level), numpy (conditional)
missing module named numpy._core.array_repr - imported by numpy._core (top-level), numpy.testing._private.utils (top-level), numpy (conditional)
missing module named numpy._core.array2string - imported by numpy._core (delayed), numpy.testing._private.utils (delayed), numpy (conditional)
missing module named numpy._core.array - imported by numpy._core (top-level), numpy.linalg._linalg (top-level), numpy.testing._private.utils (top-level), numpy.lib._polynomial_impl (top-level), numpy (conditional)
missing module named numpy._core.argsort - imported by numpy._core (top-level), numpy.linalg._linalg (top-level), numpy (conditional)
missing module named numpy._core.arctanh - imported by numpy._core (conditional), numpy (conditional)
missing module named numpy._core.arctan2 - imported by numpy._core (conditional), numpy (conditional)
missing module named numpy._core.arctan - imported by numpy._core (conditional), numpy (conditional)
missing module named numpy._core.arcsinh - imported by numpy._core (conditional), numpy (conditional)
missing module named numpy._core.arcsin - imported by numpy._core (conditional), numpy (conditional)
missing module named numpy._core.arccosh - imported by numpy._core (conditional), numpy (conditional)
missing module named numpy._core.arccos - imported by numpy._core (conditional), numpy (conditional)
missing module named numpy._core.arange - imported by numpy._core (top-level), numpy.testing._private.utils (top-level), numpy (conditional), numpy.fft._helper (top-level)
missing module named numpy._core.amin - imported by numpy._core (top-level), numpy.linalg._linalg (top-level), numpy (conditional)
missing module named numpy._core.amax - imported by numpy._core (top-level), numpy.linalg._linalg (top-level), numpy (conditional)
missing module named numpy._core.all - imported by numpy._core (top-level), numpy.linalg._linalg (top-level), numpy.testing._private.utils (delayed), numpy (conditional)
missing module named numpy._core.add - imported by numpy._core (top-level), numpy.linalg._linalg (top-level), numpy (conditional)
missing module named yaml - imported by numpy.__config__ (delayed)
missing module named numpy._distributor_init_local - imported by numpy (optional), numpy._distributor_init (optional)
missing module named defusedxml - imported by openpyxl.xml (delayed, optional)
missing module named lxml - imported by openpyxl.xml (delayed, optional)
missing module named 'defusedxml.ElementTree' - imported by openpyxl.xml.functions (conditional)
missing module named 'lxml.etree' - imported by openpyxl.xml.functions (conditional)
missing module named PIL - imported by openpyxl.drawing.image (optional)
missing module named openpyxl.tests - imported by openpyxl.reader.excel (optional)
missing module named google.protobuf.pyext._message - imported by google.protobuf.pyext (conditional, optional), google.protobuf.internal.api_implementation (conditional, optional), google.protobuf.descriptor (conditional), google.protobuf.pyext.cpp_message (conditional)
missing module named google.protobuf.enable_deterministic_proto_serialization - imported by google.protobuf (optional), google.protobuf.internal.api_implementation (optional)
missing module named google.protobuf.internal._api_implementation - imported by google.protobuf.internal (optional), google.protobuf.internal.api_implementation (optional)
missing module named grpc_reflection - imported by grpc (optional)
missing module named grpc_health - imported by grpc (optional)
missing module named pkg_resources - imported by grpc_tools.protoc (conditional)

26418
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devkit/dist/je-skin-devkit-server.exe vendored Normal file
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4
devkit/je-skin-devkit-server.spec
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@@ -5,8 +5,8 @@ a = Analysis(
['sensor_server.py'],
pathex=[],
binaries=[],
datas=[('sensor_stream_pb2.py', '.'), ('sensor_stream_pb2_grpc.py', '.')],
hiddenimports=['grpc', 'openpyxl', 'numpy'],
datas=[('sensor_stream_pb2*.py', '.')],
hiddenimports=['grpc', 'openpyxl'],
hookspath=[],
hooksconfig={},
runtime_hooks=[],

612
devkit/sensor_server.py
View File

@@ -235,25 +235,45 @@ class SensorPushServicer(sensor_stream_pb2_grpc.SensorPushServicer):
self.frame_count = 0
self.last_report_time = time.time()
self.last_angle = None
self.last_state = 0
self.last_magnitude = 0.0
def Upload(self, request_iterator, context):
print("[SensorPush] Client connected, waiting for frames...")
reset_baseline()
self.last_angle = None
self.last_state = 0
self.last_magnitude = 0.0
for frame in request_iterator:
self.frame_count += 1
angle = 0.0
magnitude = 0.0
state = 0
cop_x = 0.0
cop_y = 0.0
base_x = 0.0
base_y = 0.0
total_press = 0.0
threshold = 0.0
ok = True
message = "OK"
if len(frame.matrix) == SENSOR_ROWS * SENSOR_COLS:
try:
angle = get_pzt_angle(frame.matrix)
result = get_pzt_angle(frame.matrix, float(frame.dts_ms))
angle, magnitude, state, cop_x, cop_y, base_x, base_y, total_press, threshold = result
threshold = threshold or 0.0
self.last_angle = angle
self.last_state = state
self.last_magnitude = magnitude
if self.frame_count <= 10 or self.frame_count % 30 == 0:
print(
f"[SensorPush] PZT angle frame #{frame.seq} "
f"dts={frame.dts_ms} angle={angle:.2f}"
f"dts={frame.dts_ms} angle={angle:.2f} "
f"mag={magnitude:.2f} state={state} "
f"cop=({cop_x:.2f},{cop_y:.2f}) "
f"base=({base_x:.2f},{base_y:.2f}) "
f"total={total_press:.2f} threshold={threshold:.2f}"
)
except Exception as e:
ok = False
@@ -270,6 +290,14 @@ class SensorPushServicer(sensor_stream_pb2_grpc.SensorPushServicer):
dts_ms=frame.dts_ms,
ok=ok,
message=message,
magnitude=magnitude,
state=state,
cop_x=cop_x,
cop_y=cop_y,
base_x=base_x,
base_y=base_y,
total_press=total_press,
threshold=threshold or 0.0,
)
if self.frame_count % 100 == 0:
@@ -286,6 +314,8 @@ class SensorPushServicer(sensor_stream_pb2_grpc.SensorPushServicer):
f"[SensorPush] Frame #{frame.seq} | "
f"{frame.rows}x{frame.cols} | "
f"angle={angle_text} | "
f"mag={self.last_magnitude:.2f} | "
f"state={self.last_state} | "
f"force={frame.resultant_force:.1f} | "
f"total={self.frame_count} | ~{fps:.1f} fps"
)
@@ -351,22 +381,42 @@ def serve(port: int):
import numpy as np
import threading
from collections import deque
# ===================== 算法参数=====================
TOTAL_PRESSURE_LOW_THRESHOLD = 500
COP_STABILITY_FRAMES_REQUIRED = 5
SENSOR_ROWS = 12
SENSOR_COLS = 7
# ===================== 切向力算法参数 ======================
COP_INIT_MEDIAN_FRAMES = 1
NOISE_COLLECT_FRAMES = 20
THRESH_K = 5
SENSOR_ROWS = 12
SENSOR_COLS = 7
# ===================== 线程安全全局状态 =====================
first_frame = None
first_frame_lock = threading.Lock()
SNAP_CENTER_X, SNAP_CENTER_Y = 3.0, 5.5
SNAP_RANGE_X = 0.0
SNAP_RANGE_Y = 0.0
first_contact_CoP_x = None
first_contact_CoP_y = None
contact_initialized = False
POST_INIT_WINDOW_CNT = 600000
POST_INIT_STABLE_CNT = 500
POST_INIT_STABLE_THRESH = 0.1
total_pressure_low_counter = 0
# ===================== 线程安全全局状态 ======================
first_frame = None
first_frame_lock = threading.Lock()
first_contact_CoP_x = None
first_contact_CoP_y = None
contact_initialized = False
cop_init_x_buf = deque(maxlen=COP_INIT_MEDIAN_FRAMES)
cop_init_y_buf = deque(maxlen=COP_INIT_MEDIAN_FRAMES)
noise_sum_buf = deque(maxlen=NOISE_COLLECT_FRAMES)
dynamic_thresh = None
post_init_frame_cnt = 0
post_stable_cnt = 0
post_refined_flag = False
post_cand_x = None
post_cand_y = None
# ===================== 基线减除 =====================
def subtract_baseline(current_frame):
@@ -378,39 +428,49 @@ def subtract_baseline(current_frame):
first_frame = current_frame.copy()
diff = current_frame - first_frame
return np.clip(diff, 0, None)
return np.clip(diff, 0, None)
# ===================== 重置CoP状态 =====================
def reset_cop_state():
def _legacy_reset_cop_state():
global first_contact_CoP_x, first_contact_CoP_y, contact_initialized
global total_pressure_low_counter
global post_init_frame_cnt, post_stable_cnt, post_refined_flag
global post_cand_x, post_cand_y
first_contact_CoP_x = None
first_contact_CoP_y = None
contact_initialized = False
total_pressure_low_counter = 0
cop_init_x_buf.clear()
cop_init_y_buf.clear()
post_init_frame_cnt = 0
post_stable_cnt = 0
post_refined_flag = False
post_cand_x = None
post_cand_y = None
# ===================== CoP压力中心计算 =====================
def compute_pressure_direction(baseline_subtracted_frame):
# ===================== CoP压力中心计算（新算法） =====================
def _legacy_compute_pressure_direction(baseline_subtracted_frame):
global first_contact_CoP_x, first_contact_CoP_y, contact_initialized
global total_pressure_low_counter
global post_init_frame_cnt, post_stable_cnt, post_refined_flag
global post_cand_x, post_cand_y
global noise_sum_buf, dynamic_thresh
rows, cols = SENSOR_ROWS, SENSOR_COLS
frame_flat = np.asarray(baseline_subtracted_frame, dtype=np.float32).flatten()
frame2d = frame_flat.reshape(rows, cols)
total_pressure = np.sum(frame2d)
if total_pressure < TOTAL_PRESSURE_LOW_THRESHOLD:
total_pressure_low_counter += 1
else:
total_pressure_low_counter = 0
if total_pressure_low_counter >= COP_STABILITY_FRAMES_REQUIRED:
reset_cop_state()
return 0.0, 0.0
if dynamic_thresh is None:
noise_sum_buf.append(total_pressure)
if len(noise_sum_buf) >= NOISE_COLLECT_FRAMES:
sums = np.array(noise_sum_buf)
dynamic_thresh = THRESH_K * float(np.mean(sums))
if total_pressure == 0:
return 0.0, 0.0
if total_pressure == 0 or (dynamic_thresh is not None and total_pressure < dynamic_thresh):
if contact_initialized and dynamic_thresh is not None:
_legacy_reset_cop_state()
return 0.0, 0.0, 0, rows-1, 0, cols-1, 0.0, 0.0, 0.0, 0.0, 0.0, 0, 0.0, dynamic_thresh
x_grid = np.tile(np.arange(cols), (rows, 1))
y_grid = np.repeat(np.arange(rows), cols).reshape(rows, cols)
@@ -419,45 +479,495 @@ def compute_pressure_direction(baseline_subtracted_frame):
delta_CoP_x = 0.0
delta_CoP_y = 0.0
base_x = cop_x
base_y = cop_y
if not contact_initialized:
first_contact_CoP_x = cop_x
first_contact_CoP_y = cop_y
contact_initialized = True
else:
delta_CoP_x = cop_x - first_contact_CoP_x
delta_CoP_y = cop_y - first_contact_CoP_y
cop_init_x_buf.append(cop_x)
cop_init_y_buf.append(cop_y)
return delta_CoP_x, delta_CoP_y
if len(cop_init_x_buf) >= COP_INIT_MEDIAN_FRAMES:
first_contact_CoP_x = float(np.median(cop_init_x_buf))
first_contact_CoP_y = float(np.median(cop_init_y_buf))
contact_initialized = True
cop_init_x_buf.clear()
cop_init_y_buf.clear()
if (abs(first_contact_CoP_x - SNAP_CENTER_X) <= SNAP_RANGE_X and
abs(first_contact_CoP_y - SNAP_CENTER_Y) <= SNAP_RANGE_Y):
first_contact_CoP_x = SNAP_CENTER_X
first_contact_CoP_y = SNAP_CENTER_Y
else:
post_init_frame_cnt += 1
if not post_refined_flag and post_init_frame_cnt <= POST_INIT_WINDOW_CNT:
if post_cand_x is not None:
dist_val = np.hypot(cop_x - post_cand_x, cop_y - post_cand_y)
if dist_val <= POST_INIT_STABLE_THRESH:
post_stable_cnt += 1
else:
post_cand_x = cop_x
post_cand_y = cop_y
post_stable_cnt = 1
else:
post_cand_x = cop_x
post_cand_y = cop_y
post_stable_cnt = 1
if post_stable_cnt >= POST_INIT_STABLE_CNT:
first_contact_CoP_x = post_cand_x
first_contact_CoP_y = post_cand_y
post_refined_flag = True
else:
post_refined_flag = True
delta_CoP_x = cop_x - first_contact_CoP_x
delta_CoP_y = first_contact_CoP_y - cop_y
base_x = first_contact_CoP_x
base_y = first_contact_CoP_y
magnitude = np.hypot(delta_CoP_x, delta_CoP_y)
if not contact_initialized:
state = 0
elif not post_refined_flag:
state = 1
else:
state = 2
return (cop_x, cop_y,
0, rows-1, 0, cols-1,
delta_CoP_x, delta_CoP_y,
base_x, base_y,
magnitude, state,
total_pressure, dynamic_thresh)
# ===================== 角度计算核心 =====================
def compute_vector_angle(x: float, y: float) -> tuple[float, float]:
def _legacy_compute_vector_angle(x: float, y: float) -> tuple[float, float]:
epsilon = 1e-8
mag = np.hypot(x, y)
angle = np.degrees(np.arctan2(y, x + epsilon))
mag = np.hypot(x, y)
angle = np.degrees(np.arctan2(y, x + epsilon))
if angle < 0:
angle += 360
return angle, mag
def compute_PZT_angle(Px: float, Py: float) -> tuple[float, float]:
return compute_vector_angle(Px, -Py)
def _legacy_compute_PZT_angle(Px: float, Py: float) -> tuple[float, float]:
return _legacy_compute_vector_angle(Px, Py)
# ===================== 核心入口函数 =====================
def get_pzt_angle(adc_data):
def _legacy_get_pzt_angle(adc_data):
if len(adc_data) != 84:
raise ValueError("ADC数据长度必须为84")
baseline_subtracted = subtract_baseline(adc_data)
dx, dy = compute_pressure_direction(baseline_subtracted)
pzt_angle, _ = compute_PZT_angle(dx, dy)
return pzt_angle
result = _legacy_compute_pressure_direction(adc_data)
cop_x, cop_y = result[0], result[1]
dx, dy = result[6], result[7]
base_x, base_y = result[8], result[9]
magnitude = result[10]
state = int(result[11])
total_press = result[12]
threshold = result[13]
pzt_angle, _ = _legacy_compute_PZT_angle(dx, dy)
return pzt_angle, magnitude, state, cop_x, cop_y, base_x, base_y, total_press, threshold
# ===================== 重置基线（校准用） =====================
def reset_baseline():
global first_frame
def _legacy_reset_baseline():
global first_frame, noise_sum_buf, dynamic_thresh
with first_frame_lock:
first_frame = None
reset_cop_state()
noise_sum_buf.clear()
dynamic_thresh = None
_legacy_reset_cop_state()
from dataclasses import dataclass
from enum import IntEnum
from typing import Optional, Tuple
ADC_LEN = SENSOR_ROWS * SENSOR_COLS
class CoPState(IntEnum):
NO_CONTACT = 0
INIT_COLLECTING = 1
POST_REFINING = 2
READY = 3
@dataclass
class CoPResult:
cop_x: float
cop_y: float
row_min: int
row_max: int
col_min: int
col_max: int
dx: float
dy: float
base_x: float
base_y: float
magnitude: float
state: int
total_pressure: float
threshold: Optional[float]
angle: float
@dataclass
class CoPConfig:
rows: int = SENSOR_ROWS
cols: int = SENSOR_COLS
noise_collect_ms: float = 300.0
thresh_k: float = 5.0
min_threshold: float = 50.0
contact_confirm_ms: float = 20.0
release_confirm_ms: float = 50.0
init_collect_ms: float = 80.0
snap_enable: bool = True
snap_center_x: float = 3.0
snap_center_y: float = 5.5
snap_range_x: float = 0.25
snap_range_y: float = 0.25
post_refine_enable: bool = True
post_refine_window_ms: float = 800.0
post_stable_ms: float = 200.0
post_stable_thresh: float = 0.1
cop_lpf_alpha: float = 0.25
epsilon: float = 1e-8
class PressureDirectionEstimator:
def __init__(self, config: CoPConfig = CoPConfig()):
self.cfg = config
self.reset_all()
def reset_all(self):
self.dynamic_thresh: Optional[float] = None
self.noise_samples = []
self.noise_start_ms: Optional[float] = None
self.reset_contact_state()
def reset_contact_state(self):
self.first_contact_cop_x: Optional[float] = None
self.first_contact_cop_y: Optional[float] = None
self.state = CoPState.NO_CONTACT
self.init_x_buf = []
self.init_y_buf = []
self.init_start_ms: Optional[float] = None
self.post_start_ms: Optional[float] = None
self.post_stable_start_ms: Optional[float] = None
self.post_cand_x: Optional[float] = None
self.post_cand_y: Optional[float] = None
self.post_refined = False
self.contact_candidate_start_ms: Optional[float] = None
self.release_candidate_start_ms: Optional[float] = None
self.filtered_cop_x: Optional[float] = None
self.filtered_cop_y: Optional[float] = None
def update(self, adc_data, timestamp_ms: float) -> CoPResult:
frame2d = self._prepare_frame(adc_data)
total_pressure = float(np.sum(frame2d))
self._update_dynamic_threshold(total_pressure, timestamp_ms)
raw_contact = self._is_raw_contact(total_pressure)
contact_valid = self._debounce_contact(raw_contact, timestamp_ms)
if not contact_valid:
self._handle_no_contact()
return self._make_empty_result(total_pressure)
cop_x, cop_y = self._compute_cop(frame2d, total_pressure)
cop_x, cop_y = self._filter_cop(cop_x, cop_y)
self._update_state_machine(cop_x, cop_y, timestamp_ms)
if self.first_contact_cop_x is None or self.first_contact_cop_y is None:
dx = 0.0
dy = 0.0
base_x = cop_x
base_y = cop_y
else:
base_x = self.first_contact_cop_x
base_y = self.first_contact_cop_y
dx = cop_x - base_x
dy = base_y - cop_y
magnitude = float(np.hypot(dx, dy))
angle = self.compute_vector_angle(dx, dy)[0]
return CoPResult(
cop_x=float(cop_x),
cop_y=float(cop_y),
row_min=0,
row_max=self.cfg.rows - 1,
col_min=0,
col_max=self.cfg.cols - 1,
dx=float(dx),
dy=float(dy),
base_x=float(base_x),
base_y=float(base_y),
magnitude=magnitude,
state=int(self.state),
total_pressure=total_pressure,
threshold=self.dynamic_thresh,
angle=float(angle),
)
def _prepare_frame(self, adc_data) -> np.ndarray:
arr = np.asarray(adc_data, dtype=np.float32).flatten()
expected_len = self.cfg.rows * self.cfg.cols
if len(arr) != expected_len:
raise ValueError(f"ADC数据长度必须为{expected_len}，当前为{len(arr)}")
arr = np.clip(arr, 0, None)
return arr.reshape(self.cfg.rows, self.cfg.cols)
def _update_dynamic_threshold(self, total_pressure: float, timestamp_ms: float):
if self.dynamic_thresh is not None:
return
if self.noise_start_ms is None:
self.noise_start_ms = timestamp_ms
self.noise_samples.append(total_pressure)
if timestamp_ms - self.noise_start_ms >= self.cfg.noise_collect_ms:
samples = np.asarray(self.noise_samples, dtype=np.float32)
mean_val = float(np.mean(samples))
std_val = float(np.std(samples))
thresh = mean_val + self.cfg.thresh_k * std_val
self.dynamic_thresh = max(thresh, self.cfg.min_threshold)
def _is_raw_contact(self, total_pressure: float) -> bool:
if self.dynamic_thresh is None:
return False
return total_pressure >= self.dynamic_thresh
def _debounce_contact(self, raw_contact: bool, timestamp_ms: float) -> bool:
currently_in_contact = self.state != CoPState.NO_CONTACT
if raw_contact:
self.release_candidate_start_ms = None
if currently_in_contact:
return True
if self.contact_candidate_start_ms is None:
self.contact_candidate_start_ms = timestamp_ms
return timestamp_ms - self.contact_candidate_start_ms >= self.cfg.contact_confirm_ms
self.contact_candidate_start_ms = None
if not currently_in_contact:
return False
if self.release_candidate_start_ms is None:
self.release_candidate_start_ms = timestamp_ms
if timestamp_ms - self.release_candidate_start_ms >= self.cfg.release_confirm_ms:
return False
return True
def _handle_no_contact(self):
if self.state != CoPState.NO_CONTACT:
self.reset_contact_state()
def _compute_cop(self, frame2d: np.ndarray, total_pressure: float) -> Tuple[float, float]:
rows, cols = self.cfg.rows, self.cfg.cols
x_grid = np.tile(np.arange(cols, dtype=np.float32), (rows, 1))
y_grid = np.repeat(np.arange(rows, dtype=np.float32), cols).reshape(rows, cols)
cop_x = float(np.sum(frame2d * x_grid) / total_pressure)
cop_y = float(np.sum(frame2d * y_grid) / total_pressure)
return cop_x, cop_y
def _filter_cop(self, cop_x: float, cop_y: float) -> Tuple[float, float]:
alpha = self.cfg.cop_lpf_alpha
if alpha <= 0.0:
return cop_x, cop_y
if self.filtered_cop_x is None or self.filtered_cop_y is None:
self.filtered_cop_x = cop_x
self.filtered_cop_y = cop_y
else:
self.filtered_cop_x = alpha * cop_x + (1.0 - alpha) * self.filtered_cop_x
self.filtered_cop_y = alpha * cop_y + (1.0 - alpha) * self.filtered_cop_y
return self.filtered_cop_x, self.filtered_cop_y
def _update_state_machine(self, cop_x: float, cop_y: float, timestamp_ms: float):
if self.state == CoPState.NO_CONTACT:
self.state = CoPState.INIT_COLLECTING
self.init_start_ms = timestamp_ms
self.init_x_buf.clear()
self.init_y_buf.clear()
if self.state == CoPState.INIT_COLLECTING:
self.init_x_buf.append(cop_x)
self.init_y_buf.append(cop_y)
if self.init_start_ms is None:
self.init_start_ms = timestamp_ms
if timestamp_ms - self.init_start_ms >= self.cfg.init_collect_ms:
base_x = float(np.median(self.init_x_buf))
base_y = float(np.median(self.init_y_buf))
base_x, base_y = self._apply_center_snap(base_x, base_y)
self.first_contact_cop_x = base_x
self.first_contact_cop_y = base_y
self.post_start_ms = timestamp_ms
self.post_cand_x = None
self.post_cand_y = None
self.post_stable_start_ms = None
if self.cfg.post_refine_enable:
self.state = CoPState.POST_REFINING
else:
self.post_refined = True
self.state = CoPState.READY
return
if self.state == CoPState.POST_REFINING:
self._post_refine(cop_x, cop_y, timestamp_ms)
def _apply_center_snap(self, base_x: float, base_y: float) -> Tuple[float, float]:
if not self.cfg.snap_enable:
return base_x, base_y
if (
abs(base_x - self.cfg.snap_center_x) <= self.cfg.snap_range_x
and abs(base_y - self.cfg.snap_center_y) <= self.cfg.snap_range_y
):
return self.cfg.snap_center_x, self.cfg.snap_center_y
return base_x, base_y
def _post_refine(self, cop_x: float, cop_y: float, timestamp_ms: float):
if self.post_start_ms is None:
self.post_start_ms = timestamp_ms
if timestamp_ms - self.post_start_ms >= self.cfg.post_refine_window_ms:
self.post_refined = True
self.state = CoPState.READY
return
if self.post_cand_x is None or self.post_cand_y is None:
self.post_cand_x = cop_x
self.post_cand_y = cop_y
self.post_stable_start_ms = timestamp_ms
return
dist = float(np.hypot(cop_x - self.post_cand_x, cop_y - self.post_cand_y))
if dist <= self.cfg.post_stable_thresh:
if self.post_stable_start_ms is None:
self.post_stable_start_ms = timestamp_ms
if timestamp_ms - self.post_stable_start_ms >= self.cfg.post_stable_ms:
refined_x, refined_y = self._apply_center_snap(self.post_cand_x, self.post_cand_y)
self.first_contact_cop_x = float(refined_x)
self.first_contact_cop_y = float(refined_y)
self.post_refined = True
self.state = CoPState.READY
else:
self.post_cand_x = cop_x
self.post_cand_y = cop_y
self.post_stable_start_ms = timestamp_ms
def _make_empty_result(self, total_pressure: float) -> CoPResult:
return CoPResult(
cop_x=0.0,
cop_y=0.0,
row_min=0,
row_max=self.cfg.rows - 1,
col_min=0,
col_max=self.cfg.cols - 1,
dx=0.0,
dy=0.0,
base_x=0.0,
base_y=0.0,
magnitude=0.0,
state=int(CoPState.NO_CONTACT),
total_pressure=float(total_pressure),
threshold=self.dynamic_thresh,
angle=0.0,
)
def compute_vector_angle(self, x: float, y: float) -> Tuple[float, float]:
mag = float(np.hypot(x, y))
angle = float(np.degrees(np.arctan2(y, x + self.cfg.epsilon)))
if angle < 0:
angle += 360.0
return angle, mag
_estimator = PressureDirectionEstimator()
def reset_cop_state():
_estimator.reset_contact_state()
def reset_all_state():
_estimator.reset_all()
def compute_pressure_direction(adc_data, timestamp_ms: float):
result = _estimator.update(adc_data, timestamp_ms)
return (
result.cop_x,
result.cop_y,
result.row_min,
result.row_max,
result.col_min,
result.col_max,
result.dx,
result.dy,
result.base_x,
result.base_y,
result.magnitude,
result.state,
result.total_pressure,
result.threshold,
)
def compute_vector_angle(x: float, y: float) -> Tuple[float, float]:
return _estimator.compute_vector_angle(x, y)
def compute_PZT_angle(Px: float, Py: float) -> Tuple[float, float]:
return compute_vector_angle(Px, Py)
def get_pzt_angle(adc_data, timestamp_ms: float):
if len(adc_data) != ADC_LEN:
raise ValueError(f"ADC数据长度必须为{ADC_LEN}")
result = _estimator.update(adc_data, timestamp_ms)
return (
result.angle,
result.magnitude,
result.state,
result.cop_x,
result.cop_y,
result.base_x,
result.base_y,
result.total_pressure,
result.threshold,
)
def reset_baseline():
reset_all_state()
if __name__ == "__main__":

22
devkit/sensor_stream_pb2.py
View File

@@ -24,7 +24,7 @@ _sym_db = _symbol_database.Default()
DESCRIPTOR = _descriptor_pool.Default().AddSerializedFile(b'\n\x13sensor_stream.proto\x12\rsensor_stream\"\x85\x01\n\x0bSensorFrame\x12\x0b\n\x03seq\x18\x01 \x01(\x04\x12\x14\n\x0ctimestamp_ms\x18\x02 \x01(\x04\x12\x0c\n\x04rows\x18\x03 \x01(\r\x12\x0c\n\x04\x63ols\x18\x04 \x01(\r\x12\x0e\n\x06matrix\x18\x05 \x03(\r\x12\x17\n\x0fresultant_force\x18\x06 \x01(\x01\x12\x0e\n\x06\x64ts_ms\x18\x07 \x01(\r\"q\n\x10PztAngleResponse\x12\x0b\n\x03seq\x18\x01 \x01(\x04\x12\x14\n\x0ctimestamp_ms\x18\x02 \x01(\x04\x12\r\n\x05\x61ngle\x18\x03 \x01(\x02\x12\x0e\n\x06\x64ts_ms\x18\x04 \x01(\r\x12\n\n\x02ok\x18\x05 \x01(\x08\x12\x0f\n\x07message\x18\x06 \x01(\t\"8\n\x0eProcessRequest\x12\x10\n\x08\x63sv_path\x18\x01 \x01(\t\x12\x14\n\x0csave_as_xlsx\x18\x02 \x01(\x08\"\xa6\x01\n\x0fProcessResponse\x12\n\n\x02ok\x18\x01 \x01(\x08\x12\x13\n\x0boutput_path\x18\x02 \x01(\t\x12\x13\n\x0bgroups_used\x18\x03 \x01(\r\x12\x12\n\nmean_value\x18\x04 \x01(\x01\x12\x11\n\tthreshold\x18\x05 \x01(\x01\x12\x12\n\nrows_total\x18\x06 \x01(\r\x12\x11\n\trows_kept\x18\x07 \x01(\r\x12\x0f\n\x07message\x18\x08 \x01(\t2W\n\nSensorPush\x12I\n\x06Upload\x12\x1a.sensor_stream.SensorFrame\x1a\x1f.sensor_stream.PztAngleResponse(\x01\x30\x01\x32_\n\x0f\x45xportProcessor\x12L\n\x0bProcessFile\x12\x1d.sensor_stream.ProcessRequest\x1a\x1e.sensor_stream.ProcessResponseb\x06proto3')
DESCRIPTOR = _descriptor_pool.Default().AddSerializedFile(b'\n\x13sensor_stream.proto\x12\rsensor_stream\"\x85\x01\n\x0bSensorFrame\x12\x0b\n\x03seq\x18\x01 \x01(\x04\x12\x14\n\x0ctimestamp_ms\x18\x02 \x01(\x04\x12\x0c\n\x04rows\x18\x03 \x01(\r\x12\x0c\n\x04\x63ols\x18\x04 \x01(\r\x12\x0e\n\x06matrix\x18\x05 \x03(\r\x12\x17\n\x0fresultant_force\x18\x06 \x01(\x01\x12\x0e\n\x06\x64ts_ms\x18\x07 \x01(\r\"\xf9\x01\n\x10PztAngleResponse\x12\x0b\n\x03seq\x18\x01 \x01(\x04\x12\x14\n\x0ctimestamp_ms\x18\x02 \x01(\x04\x12\r\n\x05\x61ngle\x18\x03 \x01(\x02\x12\x0e\n\x06\x64ts_ms\x18\x04 \x01(\r\x12\n\n\x02ok\x18\x05 \x01(\x08\x12\x0f\n\x07message\x18\x06 \x01(\t\x12\x11\n\tmagnitude\x18\x07 \x01(\x02\x12\r\n\x05state\x18\x08 \x01(\x05\x12\r\n\x05\x63op_x\x18\t \x01(\x02\x12\r\n\x05\x63op_y\x18\n \x01(\x02\x12\x0e\n\x06\x62\x61se_x\x18\x0b \x01(\x02\x12\x0e\n\x06\x62\x61se_y\x18\x0c \x01(\x02\x12\x13\n\x0btotal_press\x18\r \x01(\x02\x12\x11\n\tthreshold\x18\x0e \x01(\x02\"8\n\x0eProcessRequest\x12\x10\n\x08\x63sv_path\x18\x01 \x01(\t\x12\x14\n\x0csave_as_xlsx\x18\x02 \x01(\x08\"\xa6\x01\n\x0fProcessResponse\x12\n\n\x02ok\x18\x01 \x01(\x08\x12\x13\n\x0boutput_path\x18\x02 \x01(\t\x12\x13\n\x0bgroups_used\x18\x03 \x01(\r\x12\x12\n\nmean_value\x18\x04 \x01(\x01\x12\x11\n\tthreshold\x18\x05 \x01(\x01\x12\x12\n\nrows_total\x18\x06 \x01(\r\x12\x11\n\trows_kept\x18\x07 \x01(\r\x12\x0f\n\x07message\x18\x08 \x01(\t2W\n\nSensorPush\x12I\n\x06Upload\x12\x1a.sensor_stream.SensorFrame\x1a\x1f.sensor_stream.PztAngleResponse(\x01\x30\x01\x32_\n\x0f\x45xportProcessor\x12L\n\x0bProcessFile\x12\x1d.sensor_stream.ProcessRequest\x1a\x1e.sensor_stream.ProcessResponseb\x06proto3')
_globals = globals()
_builder.BuildMessageAndEnumDescriptors(DESCRIPTOR, _globals)
@@ -33,14 +33,14 @@ if not _descriptor._USE_C_DESCRIPTORS:
DESCRIPTOR._loaded_options = None
_globals['_SENSORFRAME']._serialized_start=39
_globals['_SENSORFRAME']._serialized_end=172
_globals['_PZTANGLERESPONSE']._serialized_start=174
_globals['_PZTANGLERESPONSE']._serialized_end=287
_globals['_PROCESSREQUEST']._serialized_start=289
_globals['_PROCESSREQUEST']._serialized_end=345
_globals['_PROCESSRESPONSE']._serialized_start=348
_globals['_PROCESSRESPONSE']._serialized_end=514
_globals['_SENSORPUSH']._serialized_start=516
_globals['_SENSORPUSH']._serialized_end=603
_globals['_EXPORTPROCESSOR']._serialized_start=605
_globals['_EXPORTPROCESSOR']._serialized_end=700
_globals['_PZTANGLERESPONSE']._serialized_start=175
_globals['_PZTANGLERESPONSE']._serialized_end=424
_globals['_PROCESSREQUEST']._serialized_start=426
_globals['_PROCESSREQUEST']._serialized_end=482
_globals['_PROCESSRESPONSE']._serialized_start=485
_globals['_PROCESSRESPONSE']._serialized_end=651
_globals['_SENSORPUSH']._serialized_start=653
_globals['_SENSORPUSH']._serialized_end=740
_globals['_EXPORTPROCESSOR']._serialized_start=742
_globals['_EXPORTPROCESSOR']._serialized_end=837
# @@protoc_insertion_point(module_scope)

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devkit/server-start.err.log Normal file
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33231
devkit/server-start.out.log Normal file
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