Description
在/usr/local/lib/python3.6/site-packages/paddle_serving_server/pipeline/operator.py文件中，
midped_batch, error_code, error_info = self.process(
feed_batch, typical_logid)
通过上述命令获得的预测结果midped_batch正常，所有检测框数据都在，但在
normal tensor
for idx, data_id in enumerate(data_ids):
start = input_offset_dict[data_id][0]
end = input_offset_dict[data_id][1]
midped_data_dict[data_id][name] = value[start:end]
进行筛选时，由于输入部分，只输入一张图片，data_ids=[0]，
for data_id in data_ids:
start = cur_offset
for key, val in preped_data_dict[data_id].items():
if isinstance(val, (list, np.ndarray)):
cur_offset += len(val)
else:
cur_offset += 1
break
input_offset_dict[data_id] = [start, cur_offset]
导致input_offset_dict是一个[0,1]的列表，则检测框取值只取了第一个检测框。
具体产生原因没搞懂= =
改成midped_data_dict[data_id][name] = value则解决此问题。
results [{'bbox': (array([[ 0. , 0.8911667, 358.67282 , 21.874176 , 487.72583 ,
590.9016 ]], dtype=float32), [6]), 'im_id': array([[0]])}]
-------》
results [{'bbox': (array([[0.0000000e+00, 8.9116669e-01, 3.5867282e+02, 2.1874176e+01,
4.8772583e+02, 5.9090161e+02],
[0.0000000e+00, 8.7308830e-01, 5.3001239e+02, 3.1271460e+02,
5.9980963e+02, 5.2793616e+02],
[0.0000000e+00, 8.1745487e-01, 9.1202881e+01, 2.7218240e+02,
1.6436841e+02, 5.3688599e+02],
...,
[1.9000000e+01, 6.6376023e-02, 3.6651331e+02, 2.2170178e+02,
3.9852289e+02, 2.4392216e+02],
[1.9000000e+01, 5.9004810e-02, 3.7924310e+02, 2.1985689e+02,
3.9876065e+02, 2.3381659e+02],
[1.9000000e+01, 5.6407396e-02, 3.4724228e+02, 2.5580838e+02,
3.8182556e+02, 2.7566129e+02]], dtype=float32), [6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6]), 'im_id': array([[0]])}]
Activity