Image classification models for PyTorch
Project description
Large-scale image classification networks
Collection of large-scale image classification models on PyTorch, pretrained on the ImageNet-1k dataset.
Installation
To install, use:
pip install pytorchcv torch>=0.4.1
To enable/disable different hardware supports such as GPUs, check out PyTorch installation instructions.
Usage
Example of using the pretrained ResNet-18 model:
from pytorchcv.model_provider import get_model as ptcv_get_model
net = ptcv_get_model("resnet18", pretrained=True)
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
pytorchcv-0.0.31.tar.gz
(87.4 kB
view hashes)
Built Distribution
pytorchcv-0.0.31-py2.py3-none-any.whl
(187.9 kB
view hashes)
Close
Hashes for pytorchcv-0.0.31-py2.py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 7ce421a0bc01ffbd901087c92994f72d0700ae1c6e283e07d622cd3fda42a81e |
|
MD5 | 092b7501b33def7f7b4a5e4ae7a6fe13 |
|
BLAKE2b-256 | d81ea337328b699b88b0f3c27587d5fe2d66df0c84ce1340f67d776ad963eeb2 |