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Python image.aspect_ratio_rel方法代码示例

本文整理汇总了Python中utils.image.aspect_ratio_rel方法的典型用法代码示例。如果您正苦于以下问题:Python image.aspect_ratio_rel方法的具体用法?Python image.aspect_ratio_rel怎么用?Python image.aspect_ratio_rel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utils.image的用法示例。


在下文中一共展示了image.aspect_ratio_rel方法的9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: im_detect_mask_aspect_ratio

# 需要导入模块: from utils import image [as 别名]
# 或者: from utils.image import aspect_ratio_rel [as 别名]
def im_detect_mask_aspect_ratio(model, im, aspect_ratio, boxes, hflip=False):
    """Computes mask detections at the given width-relative aspect ratio."""

    # Perform mask detection on the transformed image
    im_ar = image_utils.aspect_ratio_rel(im, aspect_ratio)
    boxes_ar = box_utils.aspect_ratio(boxes, aspect_ratio)

    if hflip:
        masks_ar = im_detect_mask_hflip(
            model, im_ar, cfg.TEST.SCALE, cfg.TEST.MAX_SIZE, boxes_ar
        )
    else:
        blob_conv, im_scale = im_conv_body_only(
            model, im_ar, cfg.TEST.SCALE, cfg.TEST.MAX_SIZE
        )
        masks_ar = im_detect_mask(model, im_scale, boxes_ar, blob_conv)

    return masks_ar 
开发者ID:roytseng-tw,项目名称:Detectron.pytorch,代码行数:20,代码来源:test.py

示例2: im_detect_keypoints_aspect_ratio

# 需要导入模块: from utils import image [as 别名]
# 或者: from utils.image import aspect_ratio_rel [as 别名]
def im_detect_keypoints_aspect_ratio(
    model, im, aspect_ratio, boxes, hflip=False):
    """Detects keypoints at the given width-relative aspect ratio."""

    # Perform keypoint detectionon the transformed image
    im_ar = image_utils.aspect_ratio_rel(im, aspect_ratio)
    boxes_ar = box_utils.aspect_ratio(boxes, aspect_ratio)

    if hflip:
        heatmaps_ar = im_detect_keypoints_hflip(
            model, im_ar, cfg.TEST.SCALE, cfg.TEST.MAX_SIZE, boxes_ar
        )
    else:
        blob_conv, im_scale = im_conv_body_only(
            model, im_ar, cfg.TEST.SCALE, cfg.TEST.MAX_SIZE
        )
        heatmaps_ar = im_detect_keypoints(model, im_scale, boxes_ar, blob_conv)

    return heatmaps_ar 
开发者ID:roytseng-tw,项目名称:Detectron.pytorch,代码行数:21,代码来源:test.py

示例3: im_detect_mask_aspect_ratio

# 需要导入模块: from utils import image [as 别名]
# 或者: from utils.image import aspect_ratio_rel [as 别名]
def im_detect_mask_aspect_ratio(model, im, aspect_ratio, boxes, hflip=False):
    """Computes mask detections at the given width-relative aspect ratio."""

    # Perform mask detection on the transformed image
    im_ar = image_utils.aspect_ratio_rel(im, aspect_ratio)
    boxes_ar = box_utils.aspect_ratio(boxes, aspect_ratio)

    if hflip:
        masks_ar = im_detect_mask_hflip(
            model, im_ar, cfg.TEST.SCALE, cfg.TEST.MAX_SIZE, boxes_ar
        )
    else:
        im_scale = im_conv_body_only(
            model, im_ar, cfg.TEST.SCALE, cfg.TEST.MAX_SIZE
        )
        masks_ar = im_detect_mask(model, im_scale, boxes_ar)

    return masks_ar 
开发者ID:ronghanghu,项目名称:seg_every_thing,代码行数:20,代码来源:test.py

示例4: im_detect_keypoints_aspect_ratio

# 需要导入模块: from utils import image [as 别名]
# 或者: from utils.image import aspect_ratio_rel [as 别名]
def im_detect_keypoints_aspect_ratio(
    model, im, aspect_ratio, boxes, hflip=False
):
    """Detects keypoints at the given width-relative aspect ratio."""

    # Perform keypoint detectionon the transformed image
    im_ar = image_utils.aspect_ratio_rel(im, aspect_ratio)
    boxes_ar = box_utils.aspect_ratio(boxes, aspect_ratio)

    if hflip:
        heatmaps_ar = im_detect_keypoints_hflip(
            model, im_ar, cfg.TEST.SCALE, cfg.TEST.MAX_SIZE, boxes_ar
        )
    else:
        im_scale = im_conv_body_only(
            model, im_ar, cfg.TEST.SCALE, cfg.TEST.MAX_SIZE
        )
        heatmaps_ar = im_detect_keypoints(model, im_scale, boxes_ar)

    return heatmaps_ar 
开发者ID:ronghanghu,项目名称:seg_every_thing,代码行数:22,代码来源:test.py

示例5: im_detect_bbox_aspect_ratio

# 需要导入模块: from utils import image [as 别名]
# 或者: from utils.image import aspect_ratio_rel [as 别名]
def im_detect_bbox_aspect_ratio(
    model, im, aspect_ratio, box_proposals=None, hflip=False
):
    """Computes bbox detections at the given width-relative aspect ratio.
    Returns predictions in the original image space.
    """
    # Compute predictions on the transformed image
    im_ar = image_utils.aspect_ratio_rel(im, aspect_ratio)

    if not cfg.MODEL.FASTER_RCNN:
        box_proposals_ar = box_utils.aspect_ratio(box_proposals, aspect_ratio)
    else:
        box_proposals_ar = None

    if hflip:
        scores_ar, boxes_ar, _ = im_detect_bbox_hflip(
            model, im_ar, box_proposals_ar
        )
    else:
        scores_ar, boxes_ar, _ = im_detect_bbox(model, im_ar, box_proposals_ar)

    # Invert the detected boxes
    boxes_inv = box_utils.aspect_ratio(boxes_ar, 1.0 / aspect_ratio)

    return scores_ar, boxes_inv 
开发者ID:lvpengyuan,项目名称:masktextspotter.caffe2,代码行数:27,代码来源:test.py

示例6: im_detect_keypoints_aspect_ratio

# 需要导入模块: from utils import image [as 别名]
# 或者: from utils.image import aspect_ratio_rel [as 别名]
def im_detect_keypoints_aspect_ratio(
    model, im, aspect_ratio, boxes, hflip=False
):
    """Detects keypoints at the given width-relative aspect ratio."""

    # Perform keypoint detectionon the transformed image
    im_ar = image_utils.aspect_ratio_rel(im, aspect_ratio)
    boxes_ar = box_utils.aspect_ratio(boxes, aspect_ratio)

    if hflip:
        heatmaps_ar = im_detect_keypoints_hflip(model, im_ar, boxes_ar)
    else:
        im_scales = im_conv_body_only(model, im_ar)
        heatmaps_ar = im_detect_keypoints(model, im_scales, boxes_ar)

    return heatmaps_ar 
开发者ID:lvpengyuan,项目名称:masktextspotter.caffe2,代码行数:18,代码来源:test.py

示例7: im_detect_bbox_aspect_ratio

# 需要导入模块: from utils import image [as 别名]
# 或者: from utils.image import aspect_ratio_rel [as 别名]
def im_detect_bbox_aspect_ratio(
        model, im, aspect_ratio, box_proposals=None, hflip=False):
    """Computes bbox detections at the given width-relative aspect ratio.
    Returns predictions in the original image space.
    """
    # Compute predictions on the transformed image
    im_ar = [image_utils.aspect_ratio_rel(el, aspect_ratio) for el in im]

    if not cfg.MODEL.FASTER_RCNN:
        box_proposals_ar = box_utils.aspect_ratio(box_proposals, aspect_ratio)
    else:
        box_proposals_ar = None

    if hflip:
        scores_ar, boxes_ar, _ = im_detect_bbox_hflip(
            model, im_ar, box_proposals_ar)
    else:
        scores_ar, boxes_ar, _ = im_detect_bbox(
            model, im_ar, box_proposals_ar)

    # Invert the detected boxes
    boxes_inv = box_utils.aspect_ratio(boxes_ar, 1.0 / aspect_ratio)

    return scores_ar, boxes_inv 
开发者ID:facebookresearch,项目名称:DetectAndTrack,代码行数:26,代码来源:test.py

示例8: im_detect_bbox_aspect_ratio

# 需要导入模块: from utils import image [as 别名]
# 或者: from utils.image import aspect_ratio_rel [as 别名]
def im_detect_bbox_aspect_ratio(
        model, im, aspect_ratio, box_proposals=None, hflip=False):
    """Computes bbox detections at the given width-relative aspect ratio.
    Returns predictions in the original image space.
    """
    # Compute predictions on the transformed image
    im_ar = image_utils.aspect_ratio_rel(im, aspect_ratio)

    if not cfg.MODEL.FASTER_RCNN:
        box_proposals_ar = box_utils.aspect_ratio(box_proposals, aspect_ratio)
    else:
        box_proposals_ar = None

    if hflip:
        scores_ar, boxes_ar, _ = im_detect_bbox_hflip(
            model,
            im_ar,
            cfg.TEST.SCALE,
            cfg.TEST.MAX_SIZE,
            box_proposals=box_proposals_ar
        )
    else:
        scores_ar, boxes_ar, _, _ = im_detect_bbox(
            model,
            im_ar,
            cfg.TEST.SCALE,
            cfg.TEST.MAX_SIZE,
            boxes=box_proposals_ar
        )

    # Invert the detected boxes
    boxes_inv = box_utils.aspect_ratio(boxes_ar, 1.0 / aspect_ratio)

    return scores_ar, boxes_inv 
开发者ID:roytseng-tw,项目名称:Detectron.pytorch,代码行数:36,代码来源:test.py

示例9: im_detect_bbox_aspect_ratio

# 需要导入模块: from utils import image [as 别名]
# 或者: from utils.image import aspect_ratio_rel [as 别名]
def im_detect_bbox_aspect_ratio(
        model, im, aspect_ratio, box_proposals=None, hflip=False):
    """Computes bbox detections at the given width-relative aspect ratio.
    Returns predictions in the original image space.
    """
    # Compute predictions on the transformed image
    im_ar = image_utils.aspect_ratio_rel(im, aspect_ratio)

    box_proposals_ar = box_utils.aspect_ratio(box_proposals, aspect_ratio)

    if hflip:
        scores_ar, boxes_ar, _ = im_detect_bbox_hflip(
            model,
            im_ar,
            cfg.TEST.SCALE,
            cfg.TEST.MAX_SIZE,
            box_proposals=box_proposals_ar
        )
    else:
        scores_ar, boxes_ar, _, _ = im_detect_bbox(
            model,
            im_ar,
            cfg.TEST.SCALE,
            cfg.TEST.MAX_SIZE,
            boxes=box_proposals_ar
        )

    # Invert the detected boxes
    boxes_inv = box_utils.aspect_ratio(boxes_ar, 1.0 / aspect_ratio)

    return scores_ar, boxes_inv 
开发者ID:ppengtang,项目名称:pcl.pytorch,代码行数:33,代码来源:test.py


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