1. 模块列表
  2. 函数列表
  3. fast_rcnn.config.cfg.IS_MULTISCALE

Python fast_rcnn.config.cfg 模块，IS_MULTISCALE 实例源码

我们从Python开源项目中，提取了以下22个代码示例，用于说明如何使用fast_rcnn.config.cfg.IS_MULTISCALE。

项目：Automatic_Group_Photography_Enhancement    作者：Yuliang-Zou    | 项目源码 | 文件源码 
def get_training_roidb(imdb):
    """Returns a roidb (Region of Interest database) for use in training."""
    if cfg.TRAIN.USE_FLIPPED:
        print 'Appending horizontally-flipped training examples...'
        imdb.append_flipped_images()
        print 'done'

    print 'Preparing training data...'
    if cfg.TRAIN.HAS_RPN:
        if cfg.IS_MULTISCALE:
            gdl_roidb.prepare_roidb(imdb)
        else:
            rdl_roidb.prepare_roidb(imdb)
    else:
        rdl_roidb.prepare_roidb(imdb)
    print 'done'

    return imdb.roidb
项目：Automatic_Group_Photography_Enhancement    作者：Yuliang-Zou    | 项目源码 | 文件源码 
def _get_blobs(im, rois):
    """Convert an image and RoIs within that image into network inputs."""
    if cfg.TEST.HAS_RPN:
        blobs = {'data' : None, 'rois' : None}
        blobs['data'], im_scale_factors = _get_image_blob(im)
    else:
        blobs = {'data' : None, 'rois' : None}
        blobs['data'], im_scale_factors = _get_image_blob(im)
        if cfg.IS_MULTISCALE:
            if cfg.IS_EXTRAPOLATING:
                blobs['rois'] = _get_rois_blob(rois, cfg.TEST.SCALES)
            else:
                blobs['rois'] = _get_rois_blob(rois, cfg.TEST.SCALES_BASE)
        else:
            blobs['rois'] = _get_rois_blob(rois, cfg.TEST.SCALES_BASE)

    return blobs, im_scale_factors
项目：Faster-RCNN_TF    作者：smallcorgi    | 项目源码 | 文件源码 
def get_training_roidb(imdb):
    """Returns a roidb (Region of Interest database) for use in training."""
    if cfg.TRAIN.USE_FLIPPED:
        print 'Appending horizontally-flipped training examples...'
        imdb.append_flipped_images()
        print 'done'

    print 'Preparing training data...'
    if cfg.TRAIN.HAS_RPN:
        if cfg.IS_MULTISCALE:
            gdl_roidb.prepare_roidb(imdb)
        else:
            rdl_roidb.prepare_roidb(imdb)
    else:
        rdl_roidb.prepare_roidb(imdb)
    print 'done'

    return imdb.roidb
项目：Faster-RCNN_TF    作者：smallcorgi    | 项目源码 | 文件源码 
def _get_blobs(im, rois):
    """Convert an image and RoIs within that image into network inputs."""
    if cfg.TEST.HAS_RPN:
        blobs = {'data' : None, 'rois' : None}
        blobs['data'], im_scale_factors = _get_image_blob(im)
    else:
        blobs = {'data' : None, 'rois' : None}
        blobs['data'], im_scale_factors = _get_image_blob(im)
        if cfg.IS_MULTISCALE:
            if cfg.IS_EXTRAPOLATING:
                blobs['rois'] = _get_rois_blob(rois, cfg.TEST.SCALES)
            else:
                blobs['rois'] = _get_rois_blob(rois, cfg.TEST.SCALES_BASE)
        else:
            blobs['rois'] = _get_rois_blob(rois, cfg.TEST.SCALES_BASE)

    return blobs, im_scale_factors
项目：FastRcnnDetect    作者：karthkk    | 项目源码 | 文件源码 
def get_training_roidb(imdb):
    """Returns a roidb (Region of Interest database) for use in training."""
    if cfg.TRAIN.USE_FLIPPED:
        print 'Appending horizontally-flipped training examples...'
        imdb.append_flipped_images()
        print 'done'

    print 'Preparing training data...'
    if cfg.TRAIN.HAS_RPN:
        if cfg.IS_MULTISCALE:
            gdl_roidb.prepare_roidb(imdb)
        else:
            rdl_roidb.prepare_roidb(imdb)
    else:
        rdl_roidb.prepare_roidb(imdb)
    print 'done'

    return imdb.roidb
项目：FastRcnnDetect    作者：karthkk    | 项目源码 | 文件源码 
def _get_blobs(im, rois):
    """Convert an image and RoIs within that image into network inputs."""
    if cfg.TEST.HAS_RPN:
        blobs = {'data' : None, 'rois' : None}
        blobs['data'], im_scale_factors = _get_image_blob(im)
    else:
        blobs = {'data' : None, 'rois' : None}
        blobs['data'], im_scale_factors = _get_image_blob(im)
        if cfg.IS_MULTISCALE:
            if cfg.IS_EXTRAPOLATING:
                blobs['rois'] = _get_rois_blob(rois, cfg.TEST.SCALES)
            else:
                blobs['rois'] = _get_rois_blob(rois, cfg.TEST.SCALES_BASE)
        else:
            blobs['rois'] = _get_rois_blob(rois, cfg.TEST.SCALES_BASE)

    return blobs, im_scale_factors
项目：FRCNN_git    作者：runa91    | 项目源码 | 文件源码 
def get_training_roidb(imdb):
    """Returns a roidb (Region of Interest database) for use in training."""
    """if cfg.TRAIN.USE_FLIPPED:
        print 'Appending horizontally-flipped training examples...'
        imdb.append_flipped_images()
        print 'done'"""   # think about including this flipping operation again....

    print 'Preparing training data...'
    if cfg.TRAIN.HAS_RPN:
        if cfg.IS_MULTISCALE:
            gdl_roidb.prepare_roidb(imdb)
        else:
            rdl_roidb.prepare_roidb(imdb)
    else:
        rdl_roidb.prepare_roidb(imdb)
    print 'done'

    return imdb.roidb
项目：FRCNN_git    作者：runa91    | 项目源码 | 文件源码 
def _get_blobs(im, rois):
    """Convert an image and RoIs within that image into network inputs."""
    if cfg.TEST.HAS_RPN:
        blobs = {'data' : None, 'rois' : None}
        blobs['data'], im_scale_factors = _get_image_blob(im)
    else:
        blobs = {'data' : None, 'rois' : None}
        blobs['data'], im_scale_factors = _get_image_blob(im)
        if cfg.IS_MULTISCALE:
            if cfg.IS_EXTRAPOLATING:
                blobs['rois'] = _get_rois_blob(rois, cfg.TEST.SCALES)
            else:
                blobs['rois'] = _get_rois_blob(rois, cfg.TEST.SCALES_BASE)
        else:
            blobs['rois'] = _get_rois_blob(rois, cfg.TEST.SCALES_BASE)

    return blobs, im_scale_factors
项目：FRCNN_git    作者：runa91    | 项目源码 | 文件源码 
def _get_blobs(im, rois):
    """Convert an image and RoIs within that image into network inputs."""
    if cfg.TEST.HAS_RPN:
        blobs = {'data' : None, 'rois' : None}
        blobs['data'], im_scale_factors = _get_image_blob(im)
    else:
        blobs = {'data' : None, 'rois' : None}
        blobs['data'], im_scale_factors = _get_image_blob(im)
        if cfg.IS_MULTISCALE:
            if cfg.IS_EXTRAPOLATING:
                blobs['rois'] = _get_rois_blob(rois, cfg.TEST.SCALES)
            else:
                blobs['rois'] = _get_rois_blob(rois, cfg.TEST.SCALES_BASE)
        else:
            blobs['rois'] = _get_rois_blob(rois, cfg.TEST.SCALES_BASE)

    return blobs, im_scale_factors
项目：FRCNN_git    作者：runa91    | 项目源码 | 文件源码 
def get_training_roidb(imdb):
    """Returns a roidb (Region of Interest database) for use in training."""
    """if cfg.TRAIN.USE_FLIPPED:
        print 'Appending horizontally-flipped training examples...'
        imdb.append_flipped_images()
        print 'done'"""                                     # think about including this flipping operation again....

    print 'Preparing training data...'
    if cfg.TRAIN.HAS_RPN:
        if cfg.IS_MULTISCALE:
            gdl_roidb.prepare_roidb(imdb)
        else:
            rdl_roidb.prepare_roidb(imdb)
            """print('&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&')
            print(imdb.image_index)
            print(len(imdb.image_index))        # is twice as long as it should be!! <- due to flipping!
            print('&&&&&&&&&&&&&&&&&&&&&&&')"""

    else:
        rdl_roidb.prepare_roidb(imdb)
    print 'done'

    return imdb.roidb
项目：FRCNN_git    作者：runa91    | 项目源码 | 文件源码 
def _get_blobs(im, rois):
    """Convert an image and RoIs within that image into network inputs."""
    if cfg.TEST.HAS_RPN:
        blobs = {'data' : None, 'rois' : None}
        blobs['data'], im_scale_factors = _get_image_blob(im)
    else:
        blobs = {'data' : None, 'rois' : None}
        blobs['data'], im_scale_factors = _get_image_blob(im)
        if cfg.IS_MULTISCALE:
            if cfg.IS_EXTRAPOLATING:
                blobs['rois'] = _get_rois_blob(rois, cfg.TEST.SCALES)
            else:
                blobs['rois'] = _get_rois_blob(rois, cfg.TEST.SCALES_BASE)
        else:
            blobs['rois'] = _get_rois_blob(rois, cfg.TEST.SCALES_BASE)

    return blobs, im_scale_factors
项目：FRCNN_git    作者：runa91    | 项目源码 | 文件源码 
def get_training_roidb(imdb):
    """Returns a roidb (Region of Interest database) for use in training."""
    if cfg.TRAIN.USE_FLIPPED:
        print 'Appending horizontally-flipped training examples...'
        imdb.append_flipped_images()
        print 'done'

    print 'Preparing training data...'
    if cfg.TRAIN.HAS_RPN:
        if cfg.IS_MULTISCALE:
            gdl_roidb.prepare_roidb(imdb)
        else:
            rdl_roidb.prepare_roidb(imdb)
    else:
        rdl_roidb.prepare_roidb(imdb)
    print 'done'

    return imdb.roidb
项目：FastRCNN-TF-Django    作者：DamonLiuNJU    | 项目源码 | 文件源码 
def get_training_roidb(imdb):
    """Returns a roidb (Region of Interest database) for use in training."""
    if cfg.TRAIN.USE_FLIPPED:
        print 'Appending horizontally-flipped training examples...'
        imdb.append_flipped_images()
        print 'done'

    print 'Preparing training data...'
    if cfg.TRAIN.HAS_RPN:
        if cfg.IS_MULTISCALE:
            gdl_roidb.prepare_roidb(imdb)
        else:
            rdl_roidb.prepare_roidb(imdb)
    else:
        rdl_roidb.prepare_roidb(imdb)
    print 'done'

    return imdb.roidb
项目：FastRCNN-TF-Django    作者：DamonLiuNJU    | 项目源码 | 文件源码 
def _get_blobs(im, rois):
    """Convert an image and RoIs within that image into network inputs."""
    if cfg.TEST.HAS_RPN:
        blobs = {'data' : None, 'rois' : None}
        blobs['data'], im_scale_factors = _get_image_blob(im)
    else:
        blobs = {'data' : None, 'rois' : None}
        blobs['data'], im_scale_factors = _get_image_blob(im)
        if cfg.IS_MULTISCALE:
            if cfg.IS_EXTRAPOLATING:
                blobs['rois'] = _get_rois_blob(rois, cfg.TEST.SCALES)
            else:
                blobs['rois'] = _get_rois_blob(rois, cfg.TEST.SCALES_BASE)
        else:
            blobs['rois'] = _get_rois_blob(rois, cfg.TEST.SCALES_BASE)

    return blobs, im_scale_factors
项目：SubCNN    作者：tanshen    | 项目源码 | 文件源码 
def get_training_roidb(imdb):
    """Returns a roidb (Region of Interest database) for use in training."""
    if cfg.TRAIN.USE_FLIPPED:
        print 'Appending horizontally-flipped training examples...'
        imdb.append_flipped_images()
        print 'done'

    print 'Preparing training data...'
    if cfg.IS_RPN:
        if cfg.IS_MULTISCALE:
            gdl_roidb.prepare_roidb(imdb)
        else:
            rdl_roidb.prepare_roidb(imdb)
    else:
        rdl_roidb.prepare_roidb(imdb)
    print 'done'

    return imdb.roidb
项目：SubCNN    作者：tanshen    | 项目源码 | 文件源码 
def _get_blobs(im, rois):
    """Convert an image and RoIs within that image into network inputs."""
    if cfg.IS_RPN:
        blobs = {'data' : None, 'boxes_grid' : None}
        blobs['data'], im_scale_factors = _get_image_blob(im)
        blobs['boxes_grid'] = rois
    else:
        blobs = {'data' : None, 'rois' : None}
        blobs['data'], im_scale_factors = _get_image_blob(im)
        if cfg.IS_MULTISCALE:
            if cfg.IS_EXTRAPOLATING:
                blobs['rois'] = _get_rois_blob(rois, cfg.TEST.SCALES)
            else:
                blobs['rois'] = _get_rois_blob(rois, cfg.TEST.SCALES_BASE)
        else:
            blobs['rois'] = _get_rois_blob(rois, cfg.TEST.SCALES_BASE)

    return blobs, im_scale_factors
项目：Automatic_Group_Photography_Enhancement    作者：Yuliang-Zou    | 项目源码 | 文件源码 
def get_data_layer(roidb, num_classes):
    """return a data layer."""
    if cfg.TRAIN.HAS_RPN:
        if cfg.IS_MULTISCALE:
            layer = GtDataLayer(roidb)
        else:
            layer = RoIDataLayer(roidb, num_classes)
    else:
        layer = RoIDataLayer(roidb, num_classes)

    return layer
项目：Faster-RCNN_TF    作者：smallcorgi    | 项目源码 | 文件源码 
def get_data_layer(roidb, num_classes):
    """return a data layer."""
    if cfg.TRAIN.HAS_RPN:
        if cfg.IS_MULTISCALE:
            layer = GtDataLayer(roidb)
        else:
            layer = RoIDataLayer(roidb, num_classes)
    else:
        layer = RoIDataLayer(roidb, num_classes)

    return layer
项目：FastRcnnDetect    作者：karthkk    | 项目源码 | 文件源码 
def get_data_layer(roidb, num_classes):
    """return a data layer."""
    if cfg.TRAIN.HAS_RPN:
        if cfg.IS_MULTISCALE:
            layer = GtDataLayer(roidb)
        else:
            layer = RoIDataLayer(roidb, num_classes)
    else:
        layer = RoIDataLayer(roidb, num_classes)

    return layer
项目：FRCNN_git    作者：runa91    | 项目源码 | 文件源码 
def get_data_layer(roidb, num_classes):
    """return a data layer."""
    if cfg.TRAIN.HAS_RPN:
        if cfg.IS_MULTISCALE:
            layer = GtDataLayer(roidb)
        else:
            layer = RoIDataLayer(roidb, num_classes)
    else:
        layer = RoIDataLayer(roidb, num_classes)

    return layer
项目：FRCNN_git    作者：runa91    | 项目源码 | 文件源码 
def get_data_layer(roidb, num_classes):
    """return a data layer."""
    if cfg.TRAIN.HAS_RPN:
        if cfg.IS_MULTISCALE:
            layer = GtDataLayer(roidb)
        else:
            layer = RoIDataLayer(roidb, num_classes)
    else:
        layer = RoIDataLayer(roidb, num_classes)

    return layer
项目：FastRCNN-TF-Django    作者：DamonLiuNJU    | 项目源码 | 文件源码 
def get_data_layer(roidb, num_classes):
    """return a data layer."""
    if cfg.TRAIN.HAS_RPN:
        if cfg.IS_MULTISCALE:
            layer = GtDataLayer(roidb)
        else:
            layer = RoIDataLayer(roidb, num_classes)
    else:
        layer = RoIDataLayer(roidb, num_classes)

    return layer