def get_rpn_box_proposals(im, args):
cfg.immutable(False)
merge_cfg_from_file(args.rpn_cfg)
cfg.NUM_GPUS = 1
cfg.MODEL.RPN_ONLY = True
cfg.TEST.RPN_PRE_NMS_TOP_N = 10000
cfg.TEST.RPN_POST_NMS_TOP_N = 2000
assert_and_infer_cfg(cache_urls=False)
model = model_engine.initialize_model_from_cfg(args.rpn_pkl)
with c2_utils.NamedCudaScope(0):
boxes, scores = rpn_engine.im_proposals(model, im)
return boxes, scores
def get_rpn_box_proposals(im, args):
cfg.immutable(False)
merge_cfg_from_file(args.rpn_cfg)
cfg.NUM_GPUS = 1
cfg.MODEL.RPN_ONLY = True
cfg.TEST.RPN_PRE_NMS_TOP_N = 10000
cfg.TEST.RPN_POST_NMS_TOP_N = 2000
assert_and_infer_cfg(cache_urls=False)
model = model_engine.initialize_model_from_cfg(args.rpn_pkl)
with c2_utils.NamedCudaScope(0):
boxes, scores = rpn_engine.im_proposals(model, im)
return boxes, scores
def get_rpn_box_proposals(im):
"""
功能: 获取传入图像的region proposal
输入参数列表:
im: BGR格式图片
返回参数列表:
boxes: 建议boxes
scores: 对应的分数
"""
cfg.immutable(False)
merge_cfg_from_file(rpn_cfg)
cfg.NUM_GPUS = 1
cfg.MODEL.RPN_ONLY = True
cfg.TEST.RPN_PRE_NMS_TOP_N = 10000
cfg.TEST.RPN_POST_NMS_TOP_N = 2000
assert_and_infer_cfg(cache_urls=False)
model = model_engine.initialize_model_from_cfg(rpn_pkl)
with c2_utils.NamedCudaScope(0):
boxes, scores = rpn_engine.im_proposals(model, im)
return boxes, scores