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Python util.Timer方法代码示例

本文整理汇总了Python中util.Timer方法的典型用法代码示例。如果您正苦于以下问题:Python util.Timer方法的具体用法?Python util.Timer怎么用?Python util.Timer使用的例子?那么恭喜您, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在util的用法示例。


在下文中一共展示了util.Timer方法的3个代码示例,这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞,您的评价将有助于系统推荐出更棒的Python代码示例。

示例1: detect_image

# 需要导入模块: import util [as 别名]
# 或者: from util import Timer [as 别名]
def detect_image(detector, device, args):
    """Demo for detecting images."""
    timer = Timer()
    while True:
        image_file = input('Enter image file path: ')
        image = cv.imread(image_file)
        timer.tic()
        pred_points = detect_marking_points(
            detector, image, args.thresh, device)
        slots = None
        if pred_points and args.inference_slot:
            marking_points = list(list(zip(*pred_points))[1])
            slots = inference_slots(marking_points)
        timer.toc()
        plot_points(image, pred_points)
        plot_slots(image, pred_points, slots)
        cv.imshow('demo', image)
        cv.waitKey(1)
        if args.save:
            cv.imwrite('save.jpg', image, [int(cv.IMWRITE_JPEG_QUALITY), 100]) 
开发者ID:Teoge,项目名称:DMPR-PS,代码行数:22,代码来源:inference.py

示例2: detect_video

# 需要导入模块: import util [as 别名]
# 或者: from util import Timer [as 别名]
def detect_video(detector, device, args):
    """Demo for detecting video."""
    timer = Timer()
    input_video = cv.VideoCapture(args.video)
    frame_width = int(input_video.get(cv.CAP_PROP_FRAME_WIDTH))
    frame_height = int(input_video.get(cv.CAP_PROP_FRAME_HEIGHT))
    output_video = cv.VideoWriter()
    if args.save:
        output_video.open('record.avi', cv.VideoWriter_fourcc(*'XVID'),
                          input_video.get(cv.CAP_PROP_FPS),
                          (frame_width, frame_height), True)
    frame = np.empty([frame_height, frame_width, 3], dtype=np.uint8)
    while input_video.read(frame)[0]:
        timer.tic()
        pred_points = detect_marking_points(
            detector, frame, args.thresh, device)
        slots = None
        if pred_points and args.inference_slot:
            marking_points = list(list(zip(*pred_points))[1])
            slots = inference_slots(marking_points)
        timer.toc()
        plot_points(frame, pred_points)
        plot_slots(frame, pred_points, slots)
        cv.imshow('demo', frame)
        cv.waitKey(1)
        if args.save:
            output_video.write(frame)
    print("Average time: ", timer.calc_average_time(), "s.")
    input_video.release()
    output_video.release() 
开发者ID:Teoge,项目名称:DMPR-PS,代码行数:32,代码来源:inference.py

示例3: temporal_join

# 需要导入模块: import util [as 别名]
# 或者: from util import Timer [as 别名]
def temporal_join(u, v, v_name, key, time_col):
    timer = Timer()

    if isinstance(key, list):
        assert len(key) == 1
        key = key[0]

    tmp_u = u[[time_col, key]]
    timer.check("select")

    tmp_u = pd.concat([tmp_u, v], keys=['u', 'v'], sort=False)
    timer.check("concat")

    rehash_key = f'rehash_{key}'
    tmp_u[rehash_key] = tmp_u[key].apply(lambda x: hash(x) % CONSTANT.HASH_MAX)
    timer.check("rehash_key")

    tmp_u.sort_values(time_col, inplace=True)
    timer.check("sort")

    agg_funcs = {col: Config.aggregate_op(col) for col in v if col != key
                 and not col.startswith(CONSTANT.TIME_PREFIX)
                 and not col.startswith(CONSTANT.MULTI_CAT_PREFIX)}

    tmp_u = tmp_u.groupby(rehash_key).rolling(5).agg(agg_funcs)
    timer.check("group & rolling & agg")

    tmp_u.reset_index(0, drop=True, inplace=True)  # drop rehash index
    timer.check("reset_index")

    tmp_u.columns = tmp_u.columns.map(lambda a:
        f"{CONSTANT.NUMERICAL_PREFIX}{a[1].upper()}_ROLLING5({v_name}.{a[0]})")

    if tmp_u.empty:
        log("empty tmp_u, return u")
        return u

    ret = pd.concat([u, tmp_u.loc['u']], axis=1, sort=False)
    timer.check("final concat")

    del tmp_u

    return ret 
开发者ID:shuyao95,项目名称:kddcup2019-automl,代码行数:45,代码来源:merge.py


注:本文中的util.Timer方法示例由纯净天空整理自Github/MSDocs等开源代码及文档管理平台,相关代码片段筛选自各路编程大神贡献的开源项目,源码版权归原作者所有,传播和使用请参考对应项目的License;未经允许,请勿转载。