本文整理匯總了Python中fast_rcnn.config.cfg.ROOT_DIR屬性的典型用法代碼示例。如果您正苦於以下問題：Python cfg.ROOT_DIR屬性的具體用法？Python cfg.ROOT_DIR怎麽用？Python cfg.ROOT_DIR使用的例子？那麽, 這裏精選的屬性代碼示例或許可以為您提供幫助。您也可以進一步了解該屬性所在類fast_rcnn.config.cfg的用法示例。
在下文中一共展示了cfg.ROOT_DIR屬性的3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: _do_matlab_eval
# 需要導入模塊: from fast_rcnn.config import cfg [as 別名]
# 或者: from fast_rcnn.config.cfg import ROOT_DIR [as 別名]
def _do_matlab_eval(self, output_dir='output'):
print '-----------------------------------------------------'
print 'Computing results with the official MATLAB eval code.'
print '-----------------------------------------------------'
path = os.path.join(cfg.ROOT_DIR, 'lib', 'datasets',
'VOCdevkit-matlab-wrapper')
cmd = 'cd {} && '.format(path)
cmd += '{:s} -nodisplay -nodesktop '.format(cfg.MATLAB)
cmd += '-r "dbstop if error; '
cmd += 'voc_eval(\'{:s}\',\'{:s}\',\'{:s}\',\'{:s}\'); quit;"' \
.format(self._devkit_path, self._get_comp_id(),
self._image_set, output_dir)
print('Running:\n{}'.format(cmd))
status = subprocess.call(cmd, shell=True) 示例2: demo
# 需要導入模塊: from fast_rcnn.config import cfg [as 別名]
# 或者: from fast_rcnn.config.cfg import ROOT_DIR [as 別名]
def demo(net, image_name, classes):
"""Detect object classes in an image using pre-computed object proposals."""
# Load pre-computed Selected Search object proposals
box_file = os.path.join(cfg.ROOT_DIR, 'data', 'demo',
image_name + '_boxes.mat')
obj_proposals = sio.loadmat(box_file)['boxes']
# Load the demo image
im_file = os.path.join(cfg.ROOT_DIR, 'data', 'demo', image_name + '.jpg')
im = cv2.imread(im_file)
# Detect all object classes and regress object bounds
timer = Timer()
timer.tic()
scores, boxes = im_detect(net, im, obj_proposals, len(classes))
timer.toc()
print ('Detection took {:.3f}s for '
'{:d} object proposals').format(timer.total_time, boxes.shape[0])
# Visualize detections for each class
CONF_THRESH = 0.8
NMS_THRESH = 0.3
for cls in classes:
cls_ind = CLASSES.index(cls)
cls_boxes = boxes[:, 4*cls_ind:4*(cls_ind + 1)]
cls_scores = scores[:, cls_ind]
dets = np.hstack((cls_boxes,
cls_scores[:, np.newaxis])).astype(np.float32)
keep = nms(dets, NMS_THRESH)
dets = dets[keep, :]
print 'All {} detections with p({} | box) >= {:.1f}'.format(cls, cls,
CONF_THRESH)
vis_detections(im, cls, dets, thresh=CONF_THRESH) 示例3: _get_default_path
# 需要導入模塊: from fast_rcnn.config import cfg [as 別名]
# 或者: from fast_rcnn.config.cfg import ROOT_DIR [as 別名]
def _get_default_path(self):
"""
Return the default path where PASCAL VOC is expected to be installed.
"""
return os.path.join(datasets.ROOT_DIR, 'data', 'VOCdevkit' + self._year)