mirror of
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110 lines
4.4 KiB
Python
110 lines
4.4 KiB
Python
# Copyright (c) 2022 PaddlePaddle Authors. All Rights Reserved.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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import fastdeploy as fd
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import cv2
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import os
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import pickle
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import numpy as np
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import runtime_config as rc
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def test_matting_ppmatting():
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model_url = "https://bj.bcebos.com/paddlehub/fastdeploy/PP-Matting-512.tgz"
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input_url = "https://bj.bcebos.com/paddlehub/fastdeploy/matting_input.jpg"
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fd.download_and_decompress(model_url, "resources")
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fd.download(input_url, "resources")
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model_path = "./resources/PP-Matting-512"
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model_file = os.path.join(model_path, "model.pdmodel")
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params_file = os.path.join(model_path, "model.pdiparams")
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config_file = os.path.join(model_path, "deploy.yaml")
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model = fd.vision.matting.PPMatting(
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model_file, params_file, config_file, runtime_option=rc.test_option)
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# 预测图片抠图结果
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im = cv2.imread("./resources/matting_input.jpg")
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for i in range(2):
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result = model.predict(im)
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pkl_url = "https://bj.bcebos.com/fastdeploy/tests/ppmatting_result.pkl"
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if pkl_url:
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fd.download(pkl_url, "resources")
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with open("./resources/ppmatting_result.pkl", "rb") as f:
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baseline = pickle.load(f)
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diff = np.fabs(np.array(result.alpha) - np.array(baseline))
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thres = 1e-05
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assert diff.max() < thres, "The diff is %f, which is bigger than %f" % (
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diff.max(), thres)
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def test_matting_ppmodnet():
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model_url = "https://bj.bcebos.com/paddlehub/fastdeploy/PPModnet_MobileNetV2.tgz"
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input_url = "https://bj.bcebos.com/paddlehub/fastdeploy/matting_input.jpg"
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fd.download_and_decompress(model_url, "resources")
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fd.download(input_url, "resources")
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model_path = "./resources/PPModnet_MobileNetV2"
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model_file = os.path.join(model_path, "model.pdmodel")
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params_file = os.path.join(model_path, "model.pdiparams")
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config_file = os.path.join(model_path, "deploy.yaml")
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model = fd.vision.matting.PPMatting(
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model_file, params_file, config_file, runtime_option=rc.test_option)
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# 预测图片抠图结果
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im = cv2.imread("./resources/matting_input.jpg")
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for i in range(2):
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result = model.predict(im)
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pkl_url = "https://bj.bcebos.com/fastdeploy/tests/ppmodnet_result.pkl"
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if pkl_url:
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fd.download(pkl_url, "resources")
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with open("./resources/ppmodnet_result.pkl", "rb") as f:
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baseline = pickle.load(f)
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diff = np.fabs(np.array(result.alpha) - np.array(baseline))
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thres = 1e-05
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assert diff.max() < thres, "The diff is %f, which is bigger than %f" % (
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diff.max(), thres)
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def test_matting_pphumanmatting():
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model_url = "https://bj.bcebos.com/paddlehub/fastdeploy/PPHumanMatting.tgz"
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input_url = "https://bj.bcebos.com/paddlehub/fastdeploy/matting_input.jpg"
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fd.download_and_decompress(model_url, "resources")
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fd.download(input_url, "resources")
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model_path = "./resources/PPHumanMatting"
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# 配置runtime，加载模型
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runtime_option = fd.RuntimeOption()
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model_file = os.path.join(model_path, "model.pdmodel")
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params_file = os.path.join(model_path, "model.pdiparams")
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config_file = os.path.join(model_path, "deploy.yaml")
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model = fd.vision.matting.PPMatting(
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model_file, params_file, config_file, runtime_option=rc.test_option)
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# 预测图片抠图结果
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im = cv2.imread("./resources/matting_input.jpg")
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for i in range(2):
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result = model.predict(im)
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pkl_url = "https://bj.bcebos.com/fastdeploy/tests/pphumanmatting_result.pkl"
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if pkl_url:
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fd.download(pkl_url, "resources")
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with open("./resources/pphumanmatting_result.pkl", "rb") as f:
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baseline = pickle.load(f)
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diff = np.fabs(np.array(result.alpha) - np.array(baseline))
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thres = 1e-05
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assert diff.max() < thres, "The diff is %f, which is bigger than %f" % (
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diff.max(), thres)
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