mirror of
https://github.com/PaddlePaddle/FastDeploy.git
synced 2026-04-24 17:49:42 +08:00
DefTruth
e248781784
* update .gitignore * Added checking for cmake include dir * fixed missing trt_backend option bug when init from trt * remove un-need data layout and add pre-check for dtype * changed RGB2BRG to BGR2RGB in ppcls model * add model_zoo yolov6 c++/python demo * fixed CMakeLists.txt typos * update yolov6 cpp/README.md * add yolox c++/pybind and model_zoo demo * move some helpers to private * fixed CMakeLists.txt typos * add normalize with alpha and beta * add version notes for yolov5/yolov6/yolox * add copyright to yolov5.cc * revert normalize * fixed some bugs in yolox * Add NanoDet-Plus Model support Co-authored-by: Jason <jiangjiajun@baidu.com>
97 lines
3.4 KiB
Python
97 lines
3.4 KiB
Python
# 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.
|
|
|
|
from __future__ import absolute_import
|
|
import logging
|
|
from ... import FastDeployModel, Frontend
|
|
from ... import fastdeploy_main as C
|
|
|
|
|
|
class YOLOX(FastDeployModel):
|
|
def __init__(self,
|
|
model_file,
|
|
params_file="",
|
|
runtime_option=None,
|
|
model_format=Frontend.ONNX):
|
|
# 调用基函数进行backend_option的初始化
|
|
# 初始化后的option保存在self._runtime_option
|
|
super(YOLOX, self).__init__(runtime_option)
|
|
|
|
self._model = C.vision.megvii.YOLOX(model_file, params_file,
|
|
self._runtime_option, model_format)
|
|
# 通过self.initialized判断整个模型的初始化是否成功
|
|
assert self.initialized, "YOLOX initialize failed."
|
|
|
|
def predict(self, input_image, conf_threshold=0.25, nms_iou_threshold=0.5):
|
|
return self._model.predict(input_image, conf_threshold,
|
|
nms_iou_threshold)
|
|
|
|
# 一些跟YOLOX模型有关的属性封装
|
|
# 多数是预处理相关，可通过修改如model.size = [1280, 1280]改变预处理时resize的大小（前提是模型支持）
|
|
@property
|
|
def size(self):
|
|
return self._model.size
|
|
|
|
@property
|
|
def padding_value(self):
|
|
return self._model.padding_value
|
|
|
|
@property
|
|
def is_decode_exported(self):
|
|
return self._model.is_decode_exported
|
|
|
|
@property
|
|
def downsample_strides(self):
|
|
return self._model.downsample_strides
|
|
|
|
@property
|
|
def max_wh(self):
|
|
return self._model.max_wh
|
|
|
|
@size.setter
|
|
def size(self, wh):
|
|
assert isinstance(wh, [list, tuple]),\
|
|
"The value to set `size` must be type of tuple or list."
|
|
assert len(wh) == 2,\
|
|
"The value to set `size` must contatins 2 elements means [width, height], but now it contains {} elements.".format(
|
|
len(wh))
|
|
self._model.size = wh
|
|
|
|
@padding_value.setter
|
|
def padding_value(self, value):
|
|
assert isinstance(
|
|
value,
|
|
list), "The value to set `padding_value` must be type of list."
|
|
self._model.padding_value = value
|
|
|
|
@is_decode_exported.setter
|
|
def is_decode_exported(self, value):
|
|
assert isinstance(
|
|
value,
|
|
bool), "The value to set `is_decode_exported` must be type of bool."
|
|
self._model.is_decode_exported = value
|
|
|
|
@downsample_strides.setter
|
|
def downsample_strides(self, value):
|
|
assert isinstance(
|
|
value,
|
|
list), "The value to set `downsample_strides` must be type of list."
|
|
self._model.downsample_strides = value
|
|
|
|
@max_wh.setter
|
|
def max_wh(self, value):
|
|
assert isinstance(
|
|
value, float), "The value to set `max_wh` must be type of float."
|
|
self._model.max_wh = value
|