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b557dbc2d8
* add yolov5cls * fixed bugs * fixed bugs * fixed preprocess bug * add yolov5cls readme * deal with comments * Add YOLOv5Cls Note * add yolov5cls test Co-authored-by: Jason <jiangjiajun@baidu.com>
97 lines
3.1 KiB
Python
Executable File
97 lines
3.1 KiB
Python
Executable File
# 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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model_url = "https://bj.bcebos.com/fastdeploy/tests/yolov6_quant.tgz"
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fd.download_and_decompress(model_url, ".")
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def test_quant_mkldnn():
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model_path = "./yolov6_quant"
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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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input_file = os.path.join(model_path, "input.npy")
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output_file = os.path.join(model_path, "mkldnn_output.npy")
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option = fd.RuntimeOption()
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option.use_paddle_backend()
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option.use_cpu()
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option.set_model_path(model_file, params_file)
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runtime = fd.Runtime(option)
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input_name = runtime.get_input_info(0).name
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data = np.load(input_file)
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outs = runtime.infer({input_name: data})
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expected = np.load(output_file)
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diff = np.fabs(outs[0] - expected)
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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_quant_ort():
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model_path = "./yolov6_quant"
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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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input_file = os.path.join(model_path, "input.npy")
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output_file = os.path.join(model_path, "ort_output.npy")
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option = fd.RuntimeOption()
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option.use_ort_backend()
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option.use_cpu()
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option.set_ort_graph_opt_level(1)
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option.set_model_path(model_file, params_file)
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runtime = fd.Runtime(option)
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input_name = runtime.get_input_info(0).name
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data = np.load(input_file)
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outs = runtime.infer({input_name: data})
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expected = np.load(output_file)
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diff = np.fabs(outs[0] - expected)
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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_quant_trt():
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model_path = "./yolov6_quant"
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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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input_file = os.path.join(model_path, "input.npy")
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output_file = os.path.join(model_path, "trt_output.npy")
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option = fd.RuntimeOption()
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option.use_trt_backend()
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option.use_gpu()
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option.set_model_path(model_file, params_file)
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runtime = fd.Runtime(option)
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input_name = runtime.get_input_info(0).name
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data = np.load(input_file)
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outs = runtime.infer({input_name: data})
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expected = np.load(output_file)
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diff = np.fabs(outs[0] - expected)
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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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