-
Notifications
You must be signed in to change notification settings - Fork 476
/
Copy pathtest_ppliteseg.py
160 lines (137 loc) · 6.52 KB
/
test_ppliteseg.py
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
# Copyright (c) 2022 PaddlePaddle Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
import fastdeploy as fd
from fastdeploy import ModelFormat
import cv2
import os
import numpy as np
import runtime_config as rc
import pickle
def test_segmentation_ppliteseg():
pp_liteseg_model_url = "https://bj.bcebos.com/fastdeploy/tests/PP_LiteSeg_T_STDC1_cityscapes_without_argmax_test.tgz"
fd.download_and_decompress(pp_liteseg_model_url, "resources")
model_path = "./resources/PP_LiteSeg_T_STDC1_cityscapes_without_argmax_test"
# 配置runtime，加载模型
runtime_option = fd.RuntimeOption()
model_file = os.path.join(model_path, "model.pdmodel")
params_file = os.path.join(model_path, "model.pdiparams")
config_file = os.path.join(model_path, "deploy.yaml")
image_file_1 = os.path.join(model_path, "cityscapes_demo_1.png")
image_file_2 = os.path.join(model_path, "cityscapes_demo_2.png")
result_file_1 = os.path.join(model_path, "ppliteseg_result1.pkl")
result_file_2 = os.path.join(model_path, "ppliteseg_result2.pkl")
model = fd.vision.segmentation.PaddleSegModel(
model_file, params_file, config_file, runtime_option=rc.test_option)
model.postprocessor.store_score_map = True
im1 = cv2.imread(image_file_1)
im2 = cv2.imread(image_file_2)
with open(result_file_1, "rb") as f:
expect1 = pickle.load(f)
with open(result_file_2, "rb") as f:
expect2 = pickle.load(f)
for i in range(3):
# test single predict
result1 = model.predict(im1)
result2 = model.predict(im2)
diff_label_map_1 = np.fabs(
np.array(result1.label_map) - np.array(expect1["label_map"]))
diff_label_map_2 = np.fabs(
np.array(result2.label_map) - np.array(expect2["label_map"]))
diff_score_map_1 = np.fabs(
np.array(result1.score_map) - np.array(expect1["score_map"]))
diff_score_map_2 = np.fabs(
np.array(result2.score_map) - np.array(expect2["score_map"]))
thres = 1e-05
assert diff_label_map_1.max(
) < thres, "The label_map diff is %f, which is bigger than %f" % (
diff_label_map_1.max(), thres)
assert diff_score_map_1.max(
) < thres, "The score map diff is %f, which is bigger than %f" % (
diff_score_map_1.max(), thres)
assert diff_label_map_2.max(
) < thres, "The label_map diff is %f, which is bigger than %f" % (
diff_label_map_2.max(), thres)
assert diff_score_map_2.max(
) < thres, "The score map diff is %f, which is bigger than %f" % (
diff_score_map_2.max(), thres)
print("Single image No diff")
# test batch predict
results = model.batch_predict([im1, im2])
result1 = results[0]
result2 = results[1]
diff_label_map_1 = np.fabs(
np.array(result1.label_map) - np.array(expect1["label_map"]))
diff_label_map_2 = np.fabs(
np.array(result2.label_map) - np.array(expect2["label_map"]))
diff_score_map_1 = np.fabs(
np.array(result1.score_map) - np.array(expect1["score_map"]))
diff_score_map_2 = np.fabs(
np.array(result2.score_map) - np.array(expect2["score_map"]))
thres = 1e-05
assert diff_label_map_1.max(
) < thres, "The label_map diff is %f, which is bigger than %f" % (
diff_label_map_1.max(), thres)
assert diff_score_map_1.max(
) < thres, "The score map diff is %f, which is bigger than %f" % (
diff_score_map_1.max(), thres)
assert diff_label_map_2.max(
) < thres, "The label_map diff is %f, which is bigger than %f" % (
diff_label_map_2.max(), thres)
assert diff_score_map_2.max(
) < thres, "The score map diff is %f, which is bigger than %f" % (
diff_score_map_2.max(), thres)
print("Batch images No diff")
def test_segmentation_ppliteseg_runtime():
pp_liteseg_model_url = "https://bj.bcebos.com/fastdeploy/tests/PP_LiteSeg_T_STDC1_cityscapes_without_argmax_test.tgz"
fd.download_and_decompress(pp_liteseg_model_url, "resources")
model_path = "./resources/PP_LiteSeg_T_STDC1_cityscapes_without_argmax_test"
# 配置runtime，加载模型
runtime_option = fd.RuntimeOption()
model_file = os.path.join(model_path, "model.pdmodel")
params_file = os.path.join(model_path, "model.pdiparams")
config_file = os.path.join(model_path, "deploy.yaml")
image_file_1 = os.path.join(model_path, "cityscapes_demo_1.png")
result_file_1 = os.path.join(model_path, "ppliteseg_result1.pkl")
preprocessor = fd.vision.segmentation.PaddleSegPreprocessor(config_file)
postprocessor = fd.vision.segmentation.PaddleSegPostprocessor(config_file)
postprocessor.store_score_map = True
rc.test_option.set_model_path(
model_file, params_file, model_format=ModelFormat.PADDLE)
rc.test_option.use_paddle_backend()
runtime = fd.Runtime(rc.test_option)
with open(result_file_1, "rb") as f:
expect1 = pickle.load(f)
im1 = cv2.imread(image_file_1)
print(image_file_1)
for i in range(3):
# test runtime
input_tensors, ims_info = preprocessor.run([im1])
output_tensors = runtime.infer({"x": input_tensors[0]})
results = postprocessor.run(output_tensors, ims_info)
result1 = results[0]
diff_label_map_1 = np.fabs(
np.array(result1.label_map) - np.array(expect1["label_map"]))
diff_score_map_1 = np.fabs(
np.array(result1.score_map) - np.array(expect1["score_map"]))
thres = 1e-05
assert diff_label_map_1.max(
) < thres, "The label_map diff is %f, which is bigger than %f" % (
diff_label_map_1.max(), thres)
assert diff_score_map_1.max(
) < thres, "The score map diff is %f, which is bigger than %f" % (
diff_score_map_1.max(), thres)
print("Runtime images No diff")
if __name__ == "__main__":
test_segmentation_ppliteseg()
test_segmentation_ppliteseg_runtime()