Image classification models for PyTorch
Project description
Large-scale image classification networks
Several large-scale image classification models on PyTorch, trained 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-0.0.3.tar.gz
(33.8 kB
view hashes)
Built Distribution
Close
Hashes for pytorchcv-0.0.3-py2.py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 323aa2a698ba4a1c4cfb551524b7fb9c33bd3cf6e8060941d4bb88de235de177 |
|
MD5 | 10d2e7db13cb13ebd37f8b7ef1a16c8b |
|
BLAKE2b-256 | ee45ce99df5634cd025d5ab7ba9cb1c813a49f2c2d402185d6612f1f1b5f3531 |