python 开发过程中常用到的工具;包括网站开发,人工智能,文件,数据类型转换 支付接口对接,外挂,bat,sh等我在工作中常用到的开发工具
- 制作一个可插拔的python开发工具
- 论文复现,tricks收集
pip uninstall python_developer_tools
pip install git+https://github.com/carlsummer/python_developer_tools.git
from python_developer_tools import cv-
- 基础组成成分
- Convolution Series
- attentions注意力机制
- Squeeze-and-Excitation Networks
- activates 激活函数
- [全连接FC]
- 分类classes
- train
- 二阶段训练
- utils
- 基础组成成分
"MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications"
感谢代码来源External-Attention-pytorch
import torch
from python_developer_tools.cv.bases.conv.DepthwiseSeparableConvolution import DepthwiseSeparableConvolution
input=torch.randn(1,3,224,224)
dsconv=DepthwiseSeparableConvolution(3,64)
out=dsconv(input)Rethinking model scaling for convolutional neural networks
感谢代码来源External-Attention-pytorch
from python_developer_tools.cv.bases.conv.MBConv import MBConvBlock
import torch
input=torch.randn(1,3,112,112)
mbconv=MBConvBlock(ksize=3,input_filters=3,output_filters=3,image_size=112)
out=mbconv(input)
print(out.shape)Inverting the Inherence of Convolution for Visual Recognition
感谢代码来源External-Attention-pytorch
from python_developer_tools.cv.bases.conv.Involution import Involution
import torch
input=torch.randn(1,4,64,64)
involution=Involution(kernel_size=3,in_channel=4,stride=2)
out=involution(input)
print(out.shape)Exploiting Featureswith Split-and-Share Module
from python_developer_tools.cv.bases.FC.SSM import SSM
import torch
x = torch.randn(2, 2048, 1, 1)
x = x.view(x.size(0), -1)
model = SSM()
out = model(x)
print(out.shape)| 名称 | 代码实例 |
|---|---|
| AlexNet | 实现 |
| DenseNet | 实现 |
| Efficientnet | 实现 |
| InceptionV1 | 实现 |
| InceptionV2 | 实现 |
| InceptionV3 | 实现 |
| repVGGNet | 实现 |
| ResNet | 实现 |
| ResNeXt | 实现 |
| VGGNet | 实现 |
| GhostNet | 实现 |
| MixNet | 实现 |
| MobileNetV1 | 实现 |
| MobileNetV2 | 实现 |
| MobileNetV3 | 实现 |
| MobileNetXt | 实现 |
| ShuffleNet | 实现 |
| ShuffleNetV2 | 实现 |
| SqueezeNet | 实现 |
| Xception | 实现 |
| 名称 | 功能 |
|---|---|
| get_filename_suf_pix | 获取路径的文件名,后缀,父路径 |



