Python boxes.flip_boxes方法代碼示例

本文整理匯總了Python中utils.boxes.flip_boxes方法的典型用法代碼示例。如果您正苦於以下問題：Python boxes.flip_boxes方法的具體用法？Python boxes.flip_boxes怎麽用？Python boxes.flip_boxes使用的例子？那麽, 這裏精選的方法代碼示例或許可以為您提供幫助。您也可以進一步了解該方法所在類utils.boxes的用法示例。

在下文中一共展示了boxes.flip_boxes方法的11個代碼示例，這些例子默認根據受歡迎程度排序。您可以為喜歡或者感覺有用的代碼點讚，您的評價將有助於係統推薦出更棒的Python代碼示例。

示例1: im_detect_bbox_hflip

# 需要導入模塊: from utils import boxes [as 別名]
# 或者: from utils.boxes import flip_boxes [as 別名]
def im_detect_bbox_hflip(
        model, im, target_scale, target_max_size, box_proposals=None):
    """Performs bbox detection on the horizontally flipped image.
    Function signature is the same as for im_detect_bbox.
    """
    # Compute predictions on the flipped image
    im_hf = im[:, ::-1, :]
    im_width = im.shape[1]

    if not cfg.MODEL.FASTER_RCNN:
        box_proposals_hf = box_utils.flip_boxes(box_proposals, im_width)
    else:
        box_proposals_hf = None

    scores_hf, boxes_hf, im_scale, _ = im_detect_bbox(
        model, im_hf, target_scale, target_max_size, boxes=box_proposals_hf
    )

    # Invert the detections computed on the flipped image
    boxes_inv = box_utils.flip_boxes(boxes_hf, im_width)

    return scores_hf, boxes_inv, im_scale

開發者ID:roytseng-tw，項目名稱:Detectron.pytorch，代碼行數:24，代碼來源:test.py

示例2: im_detect_bbox_hflip

# 需要導入模塊: from utils import boxes [as 別名]
# 或者: from utils.boxes import flip_boxes [as 別名]
def im_detect_bbox_hflip(
        model, im, target_scale, target_max_size, box_proposals=None):
    """Performs bbox detection on the horizontally flipped image.
    Function signature is the same as for im_detect_bbox.
    """
    # Compute predictions on the flipped image
    im_hf = im[:, ::-1, :]
    im_width = im.shape[1]

    box_proposals_hf = box_utils.flip_boxes(box_proposals, im_width)

    scores_hf, boxes_hf, im_scale, _ = im_detect_bbox(
        model, im_hf, target_scale, target_max_size, boxes=box_proposals_hf
    )

    # Invert the detections computed on the flipped image
    boxes_inv = box_utils.flip_boxes(boxes_hf, im_width)

    return scores_hf, boxes_inv, im_scale

開發者ID:ppengtang，項目名稱:pcl.pytorch，代碼行數:21，代碼來源:test.py

示例3: im_detect_bbox_hflip

# 需要導入模塊: from utils import boxes [as 別名]
# 或者: from utils.boxes import flip_boxes [as 別名]
def im_detect_bbox_hflip(
    model, im, target_scale, target_max_size, box_proposals=None
):
    """Performs bbox detection on the horizontally flipped image.
    Function signature is the same as for im_detect_bbox.
    """
    # Compute predictions on the flipped image
    im_hf = im[:, ::-1, :]
    im_width = im.shape[1]

    if not cfg.MODEL.FASTER_RCNN:
        box_proposals_hf = box_utils.flip_boxes(box_proposals, im_width)
    else:
        box_proposals_hf = None

    scores_hf, boxes_hf, im_scale = im_detect_bbox(
        model, im_hf, target_scale, target_max_size, boxes=box_proposals_hf
    )

    # Invert the detections computed on the flipped image
    boxes_inv = box_utils.flip_boxes(boxes_hf, im_width)

    return scores_hf, boxes_inv, im_scale

開發者ID:ronghanghu，項目名稱:seg_every_thing，代碼行數:25，代碼來源:test.py

示例4: im_detect_bbox_hflip

# 需要導入模塊: from utils import boxes [as 別名]
# 或者: from utils.boxes import flip_boxes [as 別名]
def im_detect_bbox_hflip(model, im, box_proposals=None):
    """Performs bbox detection on the horizontally flipped image.
    Function signature is the same as for im_detect_bbox.
    """
    # Compute predictions on the flipped image
    im_hf = im[:, ::-1, :]
    im_width = im.shape[1]

    if not cfg.MODEL.FASTER_RCNN:
        box_proposals_hf = box_utils.flip_boxes(box_proposals, im_width)
    else:
        box_proposals_hf = None

    scores_hf, boxes_hf, im_scales = im_detect_bbox(
        model, im_hf, box_proposals_hf
    )

    # Invert the detections computed on the flipped image
    boxes_inv = box_utils.flip_boxes(boxes_hf, im_width)

    return scores_hf, boxes_inv, im_scales

開發者ID:lvpengyuan，項目名稱:masktextspotter.caffe2，代碼行數:23，代碼來源:test.py

示例5: im_detect_mask_hflip

# 需要導入模塊: from utils import boxes [as 別名]
# 或者: from utils.boxes import flip_boxes [as 別名]
def im_detect_mask_hflip(model, im, boxes):
    """Performs mask detection on the horizontally flipped image.
    Function signature is the same as for im_detect_mask_aug.
    """
    # Compute the masks for the flipped image
    im_hf = im[:, ::-1, :]
    boxes_hf = box_utils.flip_boxes(boxes, im.shape[1])

    im_scales = im_conv_body_only(model, im_hf)
    global_masks_hf, char_masks_hf, char_boxes_hf = im_detect_mask(model, im_scales, boxes_hf)

    # Invert the predicted soft masks
    global_masks_inv = global_masks_hf[:, :, :, ::-1]
    # char_masks_inv = char_masks_hf[:, :, :, ::-1]
    # char_boxes_inv = char_boxes_hf[:, :, :, ::-1]

    return global_masks_inv, char_masks_inv, None

開發者ID:lvpengyuan，項目名稱:masktextspotter.caffe2，代碼行數:19，代碼來源:test.py

示例6: im_detect_bbox_hflip

# 需要導入模塊: from utils import boxes [as 別名]
# 或者: from utils.boxes import flip_boxes [as 別名]
def im_detect_bbox_hflip(model, im, box_proposals=None):
    """Performs bbox detection on the horizontally flipped image.
    Function signature is the same as for im_detect_bbox.
    """
    # Compute predictions on the flipped image
    # im is a list now, to be compat with video case
    im_hf = [e[:, ::-1, :] for e in im]
    # Since all frames would be same shape, just take values from 1st
    im_width = im[0].shape[1]

    if not cfg.MODEL.FASTER_RCNN:
        box_proposals_hf = box_utils.flip_boxes(box_proposals, im_width)
    else:
        box_proposals_hf = None

    scores_hf, boxes_hf, im_scales = im_detect_bbox(
        model, im_hf, box_proposals_hf)

    # Invert the detections computed on the flipped image
    boxes_inv = box_utils.flip_boxes(boxes_hf, im_width)

    return scores_hf, boxes_inv, im_scales

開發者ID:facebookresearch，項目名稱:DetectAndTrack，代碼行數:24，代碼來源:test.py

示例7: im_detect_mask_hflip

# 需要導入模塊: from utils import boxes [as 別名]
# 或者: from utils.boxes import flip_boxes [as 別名]
def im_detect_mask_hflip(model, im, target_scale, target_max_size, boxes):
    """Performs mask detection on the horizontally flipped image.
    Function signature is the same as for im_detect_mask_aug.
    """
    # Compute the masks for the flipped image
    im_hf = im[:, ::-1, :]
    boxes_hf = box_utils.flip_boxes(boxes, im.shape[1])

    blob_conv, im_scale = im_conv_body_only(model, im_hf, target_scale, target_max_size)
    masks_hf = im_detect_mask(model, im_scale, boxes_hf, blob_conv)

    # Invert the predicted soft masks
    masks_inv = masks_hf[:, :, :, ::-1]

    return masks_inv

開發者ID:roytseng-tw，項目名稱:Detectron.pytorch，代碼行數:17，代碼來源:test.py

示例8: im_detect_keypoints_hflip

# 需要導入模塊: from utils import boxes [as 別名]
# 或者: from utils.boxes import flip_boxes [as 別名]
def im_detect_keypoints_hflip(model, im, target_scale, target_max_size, boxes):
    """Computes keypoint predictions on the horizontally flipped image.
    Function signature is the same as for im_detect_keypoints_aug.
    """
    # Compute keypoints for the flipped image
    im_hf = im[:, ::-1, :]
    boxes_hf = box_utils.flip_boxes(boxes, im.shape[1])

    blob_conv, im_scale = im_conv_body_only(model, im_hf, target_scale, target_max_size)
    heatmaps_hf = im_detect_keypoints(model, im_scale, boxes_hf, blob_conv)

    # Invert the predicted keypoints
    heatmaps_inv = keypoint_utils.flip_heatmaps(heatmaps_hf)

    return heatmaps_inv

開發者ID:roytseng-tw，項目名稱:Detectron.pytorch，代碼行數:17，代碼來源:test.py

示例9: im_detect_mask_hflip

# 需要導入模塊: from utils import boxes [as 別名]
# 或者: from utils.boxes import flip_boxes [as 別名]
def im_detect_mask_hflip(model, im, target_scale, target_max_size, boxes):
    """Performs mask detection on the horizontally flipped image.
    Function signature is the same as for im_detect_mask_aug.
    """
    # Compute the masks for the flipped image
    im_hf = im[:, ::-1, :]
    boxes_hf = box_utils.flip_boxes(boxes, im.shape[1])

    im_scale = im_conv_body_only(model, im_hf, target_scale, target_max_size)
    masks_hf = im_detect_mask(model, im_scale, boxes_hf)

    # Invert the predicted soft masks
    masks_inv = masks_hf[:, :, :, ::-1]

    return masks_inv

開發者ID:ronghanghu，項目名稱:seg_every_thing，代碼行數:17，代碼來源:test.py

示例10: im_detect_keypoints_hflip

# 需要導入模塊: from utils import boxes [as 別名]
# 或者: from utils.boxes import flip_boxes [as 別名]
def im_detect_keypoints_hflip(model, im, target_scale, target_max_size, boxes):
    """Computes keypoint predictions on the horizontally flipped image.
    Function signature is the same as for im_detect_keypoints_aug.
    """
    # Compute keypoints for the flipped image
    im_hf = im[:, ::-1, :]
    boxes_hf = box_utils.flip_boxes(boxes, im.shape[1])

    im_scale = im_conv_body_only(model, im_hf, target_scale, target_max_size)
    heatmaps_hf = im_detect_keypoints(model, im_scale, boxes_hf)

    # Invert the predicted keypoints
    heatmaps_inv = keypoint_utils.flip_heatmaps(heatmaps_hf)

    return heatmaps_inv

開發者ID:ronghanghu，項目名稱:seg_every_thing，代碼行數:17，代碼來源:test.py

示例11: im_detect_keypoints_hflip

# 需要導入模塊: from utils import boxes [as 別名]
# 或者: from utils.boxes import flip_boxes [as 別名]
def im_detect_keypoints_hflip(model, im, boxes):
    """Computes keypoint predictions on the horizontally flipped image.
    Function signature is the same as for im_detect_keypoints_aug.
    """
    # Compute keypoints for the flipped image
    im_hf = im[:, ::-1, :]
    boxes_hf = box_utils.flip_boxes(boxes, im.shape[1])

    im_scales = im_conv_body_only(model, im_hf)
    heatmaps_hf = im_detect_keypoints(model, im_scales, boxes_hf)

    # Invert the predicted keypoints
    heatmaps_inv = keypoint_utils.flip_heatmaps(heatmaps_hf)

    return heatmaps_inv

開發者ID:lvpengyuan，項目名稱:masktextspotter.caffe2，代碼行數:17，代碼來源:test.py

注：本文中的utils.boxes.flip_boxes方法示例由純淨天空整理自Github/MSDocs等開源代碼及文檔管理平台，相關代碼片段篩選自各路編程大神貢獻的開源項目，源碼版權歸原作者所有，傳播和使用請參考對應項目的License；未經允許，請勿轉載。