Introduction
This is pretrained models for person search. (resnet50,resnet18,shufflenetv1)
License
This project is released under the Apache 2.0 license.
Installation
This project is developed upon MMdetection, please refer to install.md to install MMdetection.
We utilized mmcv=1.3.9, pytorch=1.7.0
pip install psvis
Usage
- resnet50
from psvis.models.backbones import resnet
resnet50 = resnet.__dict__['resnet50'](pretrained=True)
- resnet18
from psvis.models.backbones import resnet
resnet18 = resnet.__dict__['resnet18'](pretrained=True)
- shufflenetv1
from psvis.models.backbones import shufflenet_v1
shufflenetv1 = shufflenet_v1.__dict__['shufflenetv1'](pretrained=True)
Metadata
Release files for psvis 1.6.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| psvis-1.6.0.tar.gz | 25.5 kB | Details |
Release files / psvis-1.6.0.tar.gz
| Download URL | psvis-1.6.0.tar.gz |
|---|---|
| Size | 25.5 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
67a47332bc64b14d575d988ae9b2178243cfca1b8e9284a08c5d0f5b03e4bcda
|
|
BLAKE2b-256 checksum How to use checksums |
c07bebc5cd0a60a1e3ab7d54f734f9798def508e9becb5d0300d2bc15bc5734c
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.2 CPython/3.8.8
|