Skip to main content

A small example package

Project description

moModelAnalysisTool

准备工作

pip install pqi
pqi use pypi 
pip install momodeltool / pip install momodeltool --upgrade

Visualization模块

通道可视化模块,使用举例:

from momodeltool import Visualization

'''使用开关'''
def forward(self, x):
  out = layer1(x)
  visual = Visualization()
  visual.switch_control()  # 打开展示开关,展示layer1
  visual.show_layer(out, module_name='layer1', show=True, save='./', pseudo=True, hist=True)
  visual.switch_control()  # 关闭展示开关,不展示layer2
  visual.show_layer(out, module_name='layer2', show=True, save='./', pseudo=True, hist=True) 
  out = layer2(out)
  visual.destroyAllWindows()  # 任意键入,关闭所有窗口

'''使用静态方法'''
def forward(self, x):
  out = layer1(x)
  Visualization.layer_show(out, module_name='layer1', show=True, save='./', pseudo=True, hist=True, norm=True, mode=2)  # 展示layer1,任意键入,关闭相关窗口 norm归一话开关 mode=1归一化针对展示的全图,mode=2归一化针对全图中的单个图像
  out = layer2(out)

model.load_state_dict()
Visualization.kernel_show(model, module_name='test', show=Ture, save='./')

展示样例
Alt text Alt text

ModelProcess模块

网络模型处理模块,使用样例:

from momodeltool import ModelProcess

mp = ModelProcess()
model = stereonet(batch_size=1, cost_volume_method=cost_volume_method)
pretrained_model_path = "mypath/model_1340.pth"
new_model = mp.auto_adapt(model, pretrained_model_path)  # 自动调整权重
mp.show_keys(new)  # 展示模型权重key

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

momodeltool-0.0.13.tar.gz (508.0 kB view details)

Uploaded Source

Built Distribution

momodeltool-0.0.13-py3-none-any.whl (12.6 kB view details)

Uploaded Python 3

File details

Details for the file momodeltool-0.0.13.tar.gz.

File metadata

  • Download URL: momodeltool-0.0.13.tar.gz
  • Upload date:
  • Size: 508.0 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.8.18

File hashes

Hashes for momodeltool-0.0.13.tar.gz
Algorithm Hash digest
SHA256 d98049a390a5691d23dd226ac9e54a1341684ca5b07b457b3ba252c98b326d2d
MD5 3a33ef1356298fc9b86175640f9ad2b3
BLAKE2b-256 3c10b2bce8fa40604454038549485d7bf7b1490999d6c66c1c734f2f0de89884

See more details on using hashes here.

Provenance

File details

Details for the file momodeltool-0.0.13-py3-none-any.whl.

File metadata

  • Download URL: momodeltool-0.0.13-py3-none-any.whl
  • Upload date:
  • Size: 12.6 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.8.18

File hashes

Hashes for momodeltool-0.0.13-py3-none-any.whl
Algorithm Hash digest
SHA256 1ca266d2828682633a5c7668b73b65219e1c1c0753079a86c6dd0db0b096772a
MD5 815c4e4eefd21c7bf6869954f1305cde
BLAKE2b-256 76806b3c6d4544edc25a88566c896a9c64da169693f78abdbeab529a14365ef1

See more details on using hashes here.

Provenance

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page