718c41634f
1.项目后端整体迁移至PaddleOCR-NCNN算法，已通过基本的兼容性测试 2.工程改为使用CMake组织，后续为了更好地兼容第三方库，不再提供QMake工程 3.重整权利声明文件，重整代码工程，确保最小化侵权风险 Log: 切换后端至PaddleOCR-NCNN，切换工程为CMake Change-Id: I4d5d2c5d37505a4a24b389b1a4c5d12f17bfa38c
145 lines
3.9 KiB
Python
145 lines
3.9 KiB
Python
# Tencent is pleased to support the open source community by making ncnn available.
|
|
#
|
|
# Copyright (C) 2021 THL A29 Limited, a Tencent company. All rights reserved.
|
|
#
|
|
# Licensed under the BSD 3-Clause License (the "License"); you may not use this file except
|
|
# in compliance with the License. You may obtain a copy of the License at
|
|
#
|
|
# https://opensource.org/licenses/BSD-3-Clause
|
|
#
|
|
# 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 numpy as np
|
|
import pytest
|
|
|
|
import ncnn
|
|
|
|
|
|
def test_net():
|
|
dr = ncnn.DataReaderFromEmpty()
|
|
|
|
with ncnn.Net() as net:
|
|
ret = net.load_param("tests/test.param")
|
|
net.load_model(dr)
|
|
assert ret == 0 and len(net.blobs()) == 3 and len(net.layers()) == 3
|
|
|
|
input_names = net.input_names()
|
|
output_names = net.output_names()
|
|
assert len(input_names) > 0 and len(output_names) > 0
|
|
|
|
in_mat = ncnn.Mat((227, 227, 3))
|
|
|
|
with net.create_extractor() as ex:
|
|
ex.input("data", in_mat)
|
|
ret, out_mat = ex.extract("output")
|
|
|
|
assert ret == 0 and out_mat.dims == 1 and out_mat.w == 1
|
|
|
|
net.clear()
|
|
assert len(net.blobs()) == 0 and len(net.layers()) == 0
|
|
|
|
|
|
def test_net_vulkan():
|
|
if not hasattr(ncnn, "get_gpu_count"):
|
|
return
|
|
|
|
dr = ncnn.DataReaderFromEmpty()
|
|
|
|
net = ncnn.Net()
|
|
net.opt.use_vulkan_compute = True
|
|
ret = net.load_param("tests/test.param")
|
|
net.load_model(dr)
|
|
assert ret == 0 and len(net.blobs()) == 3 and len(net.layers()) == 3
|
|
|
|
in_mat = ncnn.Mat((227, 227, 3))
|
|
|
|
ex = net.create_extractor()
|
|
ex.input("data", in_mat)
|
|
ret, out_mat = ex.extract("output")
|
|
|
|
assert ret == 0 and out_mat.dims == 1 and out_mat.w == 1
|
|
|
|
ex.clear()
|
|
|
|
net.clear()
|
|
assert len(net.blobs()) == 0 and len(net.layers()) == 0
|
|
|
|
|
|
def test_custom_layer():
|
|
class CustomLayer(ncnn.Layer):
|
|
customLayers = []
|
|
|
|
def __init__(self):
|
|
ncnn.Layer.__init__(self)
|
|
self.one_blob_only = True
|
|
|
|
self.customLayers.append(self)
|
|
|
|
def forward(self, bottom_blob, top_blob, opt):
|
|
x = np.array(bottom_blob)
|
|
x += 1
|
|
|
|
top_blob.clone_from(ncnn.Mat(x), opt.blob_allocator)
|
|
if top_blob.empty():
|
|
return -100
|
|
|
|
return 0
|
|
|
|
def CustomLayer_layer_creator():
|
|
return CustomLayer()
|
|
|
|
def CustomLayer_layer_destroyer(layer):
|
|
for i in range(len(CustomLayer.customLayers)):
|
|
if CustomLayer.customLayers[i] == layer:
|
|
del CustomLayer.customLayers[i]
|
|
break
|
|
|
|
dr = ncnn.DataReaderFromEmpty()
|
|
|
|
net = ncnn.Net()
|
|
net.register_custom_layer(
|
|
"CustomLayer", CustomLayer_layer_creator, CustomLayer_layer_destroyer
|
|
)
|
|
ret = net.load_param("tests/custom_layer.param")
|
|
net.load_model(dr)
|
|
assert ret == 0 and len(net.blobs()) == 2 and len(net.layers()) == 2
|
|
|
|
in_mat = ncnn.Mat(1)
|
|
in_mat.fill(1.0)
|
|
|
|
ex = net.create_extractor()
|
|
ex.input("data", in_mat)
|
|
ret, out_mat = ex.extract("output")
|
|
assert ret == 0 and out_mat.dims == 1 and out_mat.w == 1 and out_mat[0] == 2.0
|
|
|
|
ex.clear()
|
|
|
|
net.clear()
|
|
assert len(net.blobs()) == 0 and len(net.layers()) == 0
|
|
|
|
|
|
def test_vulkan_device_index():
|
|
if not hasattr(ncnn, "get_gpu_count"):
|
|
return
|
|
|
|
net = ncnn.Net()
|
|
assert net.vulkan_device() is None
|
|
|
|
net.set_vulkan_device(0)
|
|
assert net.vulkan_device() is not None
|
|
|
|
|
|
def test_vulkan_device_vkdev():
|
|
if not hasattr(ncnn, "get_gpu_count"):
|
|
return
|
|
|
|
net = ncnn.Net()
|
|
assert net.vulkan_device() is None
|
|
|
|
vkdev = ncnn.get_gpu_device(0)
|
|
net.set_vulkan_device(vkdev)
|
|
assert net.vulkan_device() is not None
|