Python geometry.Point方法代碼示例

# 需要導入模塊: from shapely import geometry [as 別名]
# 或者: from shapely.geometry import Point [as 別名]
def saveimageWithMask(img, outname, mask_poly):

    dstimg = copy.deepcopy(img)
    for mask in mask_poly:
        bound = mask.bounds
        if (len(bound) < 4):
            continue
        xmin, ymin, xmax, ymax = bound[0], bound[1], bound[2], bound[3]
        for x in range(int(xmin), int(xmax)):
            for y in range(int(ymin), int(ymax)):
                point = shgeo.Point(x, y)
                if point.within(mask):
                    #print('withing')

                    dstimg[int(y)][int(x)] = 0

    cv2.imwrite(outname, dstimg) 

# 需要導入模塊: from shapely import geometry [as 別名]
# 或者: from shapely.geometry import Point [as 別名]
def removeIgnoredPointsRects(rects,polyList):

    ridxs = list(range(len(rects)))
    for ridx in range(len(rects)):
        points = rects[ridx]["annopoints"][0]["point"]
        pidxs = list(range(len(points)))
        for pidx in range(len(points)):
            pt = geometry.Point(points[pidx]["x"][0], points[pidx]["y"][0])
            bIgnore = False
            for poidx in range(len(polyList)):
                poly = polyList[poidx]
                if (poly.contains(pt)):
                    bIgnore = True
                    break
            if (bIgnore):
                pidxs.remove(pidx)
        points = [points[pidx] for pidx in pidxs]
        if (len(points) > 0):
            rects[ridx]["annopoints"][0]["point"] = points
        else:
            ridxs.remove(ridx)
    rects = [rects[ridx] for ridx in ridxs]
    return rects 

# 需要導入模塊: from shapely import geometry [as 別名]
# 或者: from shapely.geometry import Point [as 別名]
def removeIgnoredPoints(gtFramesAll,prFramesAll):

    imgidxs = []
    for imgidx in range(len(gtFramesAll)):
        if ("ignore_regions" in gtFramesAll[imgidx].keys() and
            len(gtFramesAll[imgidx]["ignore_regions"]) > 0):
            regions = gtFramesAll[imgidx]["ignore_regions"]
            polyList = []
            for ridx in range(len(regions)):
                points = regions[ridx]["point"]
                pointList = []
                for pidx in range(len(points)):
                    pt = geometry.Point(points[pidx]["x"][0], points[pidx]["y"][0])
                    pointList += [pt]
                poly = geometry.Polygon([[p.x, p.y] for p in pointList])
                polyList += [poly]

            rects = prFramesAll[imgidx]["annorect"]
            prFramesAll[imgidx]["annorect"] = removeIgnoredPointsRects(rects,polyList)
            rects = gtFramesAll[imgidx]["annorect"]
            gtFramesAll[imgidx]["annorect"] = removeIgnoredPointsRects(rects,polyList)

    return gtFramesAll, prFramesAll 

# 需要導入模塊: from shapely import geometry [as 別名]
# 或者: from shapely.geometry import Point [as 別名]
def test_vector_concurrent():

    def _work(i):
        point, = r1.iter_data(None)
        return point

    ds = buzz.Dataset(max_active=4)
    meta = dict(
        type='point',
    )

    p = mp.pool.ThreadPool(4)
    with ds.acreate_vector('/tmp/v1.shp', **meta).delete as r1:
        pt = sg.Point([42, 45])
        r1.insert_data(pt)
        r1.deactivate()

        points = list(p.map(_work, range(1000)))
        assert all(p == pt for p in points)
        assert (ds._back.idle_count(), ds._back.used_count(), ds.active_count) == (4, 0, 4)
        assert (ds._back.idle_count(r1._back.uid), ds._back.used_count(r1._back.uid), r1.active_count, r1.active) == (4, 0, 4, True)

    p.terminate() 

# 需要導入模塊: from shapely import geometry [as 別名]
# 或者: from shapely.geometry import Point [as 別名]
def test_points(fps1px):
    """Test points at fps.E's points of interest"""
    fps = fps1px
    assert fpeq(
        fps.E,
        fps.AI.intersection(sg.Point(*fps.E.c)),
        fps.AI.intersection(sg.Point(*fps.E.t)),
        fps.AI.intersection(sg.Point(*fps.E.l)),
        fps.AI.intersection(sg.Point(*fps.E.tl)),
    )
    assert fpeq(
        fps.I,
        fps.AI.intersection(sg.Point(*fps.E.br)),
    )
    assert fpeq(
        fps.H,
        fps.AI.intersection(sg.Point(*fps.E.bl)),
        fps.AI.intersection(sg.Point(*fps.E.b)),
    )
    assert fpeq(
        fps.F,
        fps.AI.intersection(sg.Point(*fps.E.tr)),
        fps.AI.intersection(sg.Point(*fps.E.r)),
    ) 

# 需要導入模塊: from shapely import geometry [as 別名]
# 或者: from shapely.geometry import Point [as 別名]
def _any_geom_to_shapely(geom):
    """Any geom to shapely object. Points should have homogeneous dimensions size."""
    if isinstance(geom, (sg.LineString, sg.Point, sg.Polygon, sg.MultiPolygon)):
        return geom
    if isinstance(geom, dict):
        return sg.shape(geom['geometry'])
    if isinstance(geom, collections.Container):
        geom = np.asarray(geom)
        if geom.ndim == 1:
            return sg.Point(geom.tolist())
        elif geom.ndim == 2:
            return sg.LineString(geom.tolist())
        elif geom.ndim == 3:
            return sg.Polygon(*geom.tolist())
        elif geom.ndim == 4:
            return sg.MultiPolygon([
                sg.Polygon(*poly)
                for poly in geom.tolist()
            ])
    assert False 

# 需要導入模塊: from shapely import geometry [as 別名]
# 或者: from shapely.geometry import Point [as 別名]
def get_autocomplete(
    query: QueryParams = Depends(QueryParams), extra: ExtraParams = Body(ExtraParams())
):
    async def get_intentions():
        if not query.nlu or query.lang not in nlu_allowed_languages:
            return None

        focus = None
        if query.lon and query.lat:
            focus = Point(query.lon, query.lat)

        return await nlu_client.get_intentions(text=query.q, lang=query.lang, focus=focus)

    autocomplete_response, intentions = await asyncio.gather(
        bragi_client.autocomplete(query, extra), get_intentions()
    )
    if intentions is not None:
        autocomplete_response["intentions"] = intentions
    return autocomplete_response 

# 需要導入模塊: from shapely import geometry [as 別名]
# 或者: from shapely.geometry import Point [as 別名]
def convert_pix_lstring_to_geo(wkt_lstring, im_file):
    '''Convert linestring in pixel coords to geo coords'''
    shape = wkt_lstring  # shapely.wkt.loads(lstring)
    x_pixs, y_pixs = shape.coords.xy
    coords_latlon = []
    coords_utm = []
    for (x, y) in zip(x_pixs, y_pixs):
        lon, lat = apls_utils.pixelToGeoCoord(x, y, im_file)
        [utm_east, utm_north, utm_zone, utm_letter] = utm.from_latlon(lat, lon)
        coords_utm.append([utm_east, utm_north])
        coords_latlon.append([lon, lat])

    lstring_latlon = LineString([Point(z) for z in coords_latlon])
    lstring_utm = LineString([Point(z) for z in coords_utm])

    return lstring_latlon, lstring_utm, utm_zone, utm_letter


############################################################################### 

# 需要導入模塊: from shapely import geometry [as 別名]
# 或者: from shapely.geometry import Point [as 別名]
def make_record(properties: Dict[str, type], load_num: str, tree_row: Dict[str, str], point: Dict[str, str]):
    """
    shp 파일에 입력할 수목 정보 생성
    :return:
    """
    # 레코드 기본 구조
    record = {'properties': {"탐방로": load_num}, 'geometry': None}
    # 수목 정보 입력
    for key, value in zip(tree_row.keys(), tree_row.values()):
        atr_type = properties[key]
        # 속성 타입이 int인데 속성값이 ''일 경우 0으로 입력
        record['properties'][key] = atr_type(value) if value or atr_type is str else 0

    # 위치정보 입력
    record['properties']['경도'] = point['경도']
    record['properties']['위도'] = point['위도']
    record['properties']['고도'] = point['고도']
    record['geometry'] = mapping(Point(point['경도'], point['위도']))
    return record 

# 需要導入模塊: from shapely import geometry [as 別名]
# 或者: from shapely.geometry import Point [as 別名]
def test_filter_heads(self):

        f = get_demo_file('glacier.svg')

        coords = read_svgcoords(f)
        polygon = shpg.Polygon(coords)

        hidx = np.array([3, 9, 80, 92, 108, 116, 170, len(coords)-12])
        heads = [shpg.Point(*c) for c in coords[hidx]]
        heads_height = np.array([200, 210, 1000., 900, 1200, 1400, 1300, 250])
        radius = 25

        _heads, _ = centerlines._filter_heads(heads, heads_height, radius,
                                              polygon)
        _headsi, _ = centerlines._filter_heads(heads[::-1],
                                               heads_height[::-1],
                                               radius, polygon)

        self.assertEqual(_heads, _headsi[::-1])
        self.assertEqual(_heads, [heads[h] for h in [2, 5, 6, 7]]) 

# 需要導入模塊: from shapely import geometry [as 別名]
# 或者: from shapely.geometry import Point [as 別名]
def _projection_point(centerline, point):
    """Projects a point on a line and returns the closest integer point
    guaranteed to be on the line, and guaranteed to be far enough from the
    head and tail.

    Parameters
    ----------
    centerline : Centerline instance
    point : Shapely Point geometry

    Returns
    -------
    (flow_point, ind_closest): Shapely Point and indice in the line
    """
    prdis = centerline.line.project(point, normalized=False)
    ind_closest = np.argmin(np.abs(centerline.dis_on_line - prdis)).item()
    flow_point = shpg.Point(centerline.line.coords[int(ind_closest)])
    return flow_point 

# 需要導入模塊: from shapely import geometry [as 別名]
# 或者: from shapely.geometry import Point [as 別名]
def main(filename="output.png", img_width=2000, img_height=2000, palette=random.choice(palettes.PALETTES), count=50):
    ims = cairo.ImageSurface(cairo.FORMAT_ARGB32, img_width, img_height)
    ims.set_fallback_resolution(300.0, 300.0)
    ctx = cairo.Context(ims)

    # Background
    ctx.rectangle(0, 0, img_width, img_height)
    ctx.set_source_rgb(*palettes.hex_to_tuple(palette['background']))
    ctx.fill()

    existing_shapes = Point([(0, 0), (0, 0)])
    for i in range(count):
        print("Making disc {}".format(i))
        existing_shapes = sphere(ctx, random.choice(palette['colors']), img_width, img_height, existing_shapes)

    ims.write_to_png(filename) 

# 需要導入模塊: from shapely import geometry [as 別名]
# 或者: from shapely.geometry import Point [as 別名]
def main(filename="output.png", img_width=2000, img_height=2000, palette=random.choice(palettes.PALETTES), count=50):
    ims = cairo.ImageSurface(cairo.FORMAT_ARGB32, img_width, img_height)
    ims.set_fallback_resolution(300.0, 300.0)
    ctx = cairo.Context(ims)

    # Background
    ctx.rectangle(0, 0, img_width, img_height)
    ctx.set_source_rgb(*palettes.hex_to_tuple(palette['background']))
    ctx.fill()

    existing_shapes = Point([(0, 0), (0, 0)])
    for i in range(count):
        print("Making sphere {}".format(i))
        existing_shapes = sphere(ctx, random.choice(palette['colors']), img_width, img_height, existing_shapes)

    ims.write_to_png(filename) 

# 需要導入模塊: from shapely import geometry [as 別名]
# 或者: from shapely.geometry import Point [as 別名]
def main(filename="output.png", img_width=IMG_WIDTH, img_height=IMG_HEIGHT, palette=random.choice(palettes.PALETTES), count=50, line_width=80):
    ims = cairo.ImageSurface(cairo.FORMAT_ARGB32, img_width, img_height)
    ims.set_fallback_resolution(300.0, 300.0)
    ctx = cairo.Context(ims)

    # Background
    ctx.rectangle(0, 0, img_width, img_height)
    ctx.set_source_rgb(*palettes.hex_to_tuple(palette['background']))
    ctx.fill()

    existing_shapes = Point([(0, 0), (0, 0)])
    for i in range(count):
        print("Making bar {}".format(i))
        existing_shapes = bar(ctx, random.choice(
            palette['colors']), line_width, img_width, img_height, existing_shapes)

    ims.write_to_png(filename) 

# 需要導入模塊: from shapely import geometry [as 別名]
# 或者: from shapely.geometry import Point [as 別名]
def nearest_neighbor_within(others, point, max_distance):
    """Find nearest point among others up to a maximum distance.

    Args:
        others: a list of Points or a MultiPoint
        point: a Point
        max_distance: maximum distance to search for the nearest neighbor

    Returns:
        A shapely Point if one is within max_distance, None otherwise
    """
    search_region = point.buffer(max_distance)
    interesting_points = search_region.intersection(MultiPoint(others))

    if not interesting_points:
        closest_point = None
    elif isinstance(interesting_points, Point):
        closest_point = interesting_points
    else:
        distances = [point.distance(ip) for ip in interesting_points
                     if point.distance(ip) > 0]
        closest_point = interesting_points[distances.index(min(distances))]

    return closest_point