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Open Source Computer Vision Library
https://opencv.org/
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212 lines
5.3 KiB
212 lines
5.3 KiB
import gdb |
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import numpy as np |
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from enum import Enum |
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np.set_printoptions(suppress=True) # prevent numpy exponential notation on print, default False |
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# np.set_printoptions(threshold=sys.maxsize) |
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def conv(obj, t): |
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return gdb.parse_and_eval(f'({t})({obj})') |
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def booli(obj): |
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return conv(str(obj).lower(), 'bool') |
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def stri(obj): |
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s = f'"{obj}"' |
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return conv(s.translate(s.maketrans('\n', ' ')), 'char*') |
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class MagicValues(Enum): |
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MAGIC_VAL = 0x42FF0000 |
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AUTO_STEP = 0 |
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CONTINUOUS_FLAG = 1 << 14 |
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SUBMATRIX_FLAG = 1 << 15 |
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class MagicMasks(Enum): |
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MAGIC_MASK = 0xFFFF0000 |
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TYPE_MASK = 0x00000FFF |
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DEPTH_MASK = 7 |
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class Depth(Enum): |
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CV_8U = 0 |
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CV_8S = 1 |
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CV_16U = 2 |
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CV_16S = 3 |
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CV_32S = 4 |
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CV_32F = 5 |
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CV_64F = 6 |
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CV_16F = 7 |
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def create_enum(n): |
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def make_type(depth, cn): |
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return depth.value + ((cn - 1) << 3) |
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defs = [(f'{depth.name}C{i}', make_type(depth, i)) for depth in Depth for i in range(1, n + 1)] |
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return Enum('Type', defs) |
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Type = create_enum(512) |
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class Flags: |
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def depth(self): |
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return Depth(self.flags & MagicMasks.DEPTH_MASK.value) |
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def dtype(self): |
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depth = self.depth() |
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ret = None |
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if depth == Depth.CV_8U: |
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ret = (np.uint8, 'uint8_t') |
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elif depth == Depth.CV_8S: |
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ret = (np.int8, 'int8_t') |
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elif depth == Depth.CV_16U: |
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ret = (np.uint16, 'uint16_t') |
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elif depth == Depth.CV_16S: |
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ret = (np.int16, 'int16_t') |
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elif depth == Depth.CV_32S: |
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ret = (np.int32, 'int32_t') |
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elif depth == Depth.CV_32F: |
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ret = (np.float32, 'float') |
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elif depth == Depth.CV_64F: |
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ret = (np.float64, 'double') |
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elif depth == Depth.CV_16F: |
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ret = (np.float16, 'float16') |
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return ret |
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def type(self): |
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return Type(self.flags & MagicMasks.TYPE_MASK.value) |
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def channels(self): |
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return ((self.flags & (511 << 3)) >> 3) + 1 |
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def is_continuous(self): |
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return (self.flags & MagicValues.CONTINUOUS_FLAG.value) != 0 |
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def is_submatrix(self): |
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return (self.flags & MagicValues.SUBMATRIX_FLAG.value) != 0 |
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def __init__(self, flags): |
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self.flags = flags |
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def __iter__(self): |
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return iter({ |
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'type': stri(self.type().name), |
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'is_continuous': booli(self.is_continuous()), |
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'is_submatrix': booli(self.is_submatrix()) |
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}.items()) |
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class Size: |
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def __init__(self, ptr): |
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self.ptr = ptr |
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def dims(self): |
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return int((self.ptr - 1).dereference()) |
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def to_numpy(self): |
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return np.array([int(self.ptr[i]) for i in range(self.dims())], dtype=np.int64) |
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def __iter__(self): |
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return iter({'size': stri(self.to_numpy())}.items()) |
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class Mat: |
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def __init__(self, m, size, flags): |
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(dtype, ctype) = flags.dtype() |
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elsize = np.dtype(dtype).itemsize |
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ptr = m['data'] |
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dataptr = int(ptr) |
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length = (int(m['dataend']) - dataptr) // elsize |
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start = (int(m['datastart']) - dataptr) // elsize |
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if length == 0: |
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self.mat = np.array([]) |
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self.view = self.mat |
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return |
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if dtype != np.float16: |
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ctype = gdb.lookup_type(ctype) |
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ptr = ptr.cast(ctype.array(length - 1).pointer()).dereference() |
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self.mat = np.array([ptr[i] for i in range(length)], dtype=dtype) |
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else: |
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u16 = gdb.lookup_type('uint16_t') |
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ptr = ptr.cast(u16.array(length - 1).pointer()).dereference() |
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self.mat = np.array([ptr[i] for i in range(length)], dtype=np.uint16) |
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self.mat = self.mat.view(np.float16) |
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steps = np.asarray([int(m['step']['p'][i]) for i in range(size.dims())], dtype=np.int64) |
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self.view = np.lib.stride_tricks.as_strided(self.mat[start:], shape=size.to_numpy(), strides=steps) |
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def __iter__(self): |
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return iter({'data': stri(self.view)}.items()) |
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class MatPrinter: |
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"""Print a cv::Mat""" |
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def __init__(self, mat): |
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self.mat = mat |
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def views(self): |
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m = self.mat |
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flags = Flags(int(m['flags'])) |
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size = Size(m['size']['p']) |
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data = Mat(m, size, flags) |
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for x in [flags, size, data]: |
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for k, v in x: |
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yield 'view_' + k, v |
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def real(self): |
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m = self.mat |
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for field in m.type.fields(): |
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k = field.name |
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v = m[k] |
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yield k, v |
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# TODO: add an enum in interface.h with all cv::Mat element types and use that instead |
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# yield 'test', gdb.parse_and_eval(f'(cv::MatTypes)0') |
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def children(self): # TODO: hide real members under new child somehow |
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yield from self.views() |
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yield from self.real() |
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def get_type(val): |
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# Get the type. |
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vtype = val.type |
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# If it points to a reference, get the reference. |
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if vtype.code == gdb.TYPE_CODE_REF: |
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vtype = vtype.target() |
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# Get the unqualified type, stripped of typedefs. |
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vtype = vtype.unqualified().strip_typedefs() |
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# Get the type name. |
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typename = vtype.tag |
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return typename |
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def mat_printer(val): |
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typename = get_type(val) |
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if typename is None: |
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return None |
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if str(typename) == 'cv::Mat': |
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return MatPrinter(val) |
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gdb.pretty_printers.append(mat_printer)
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