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-0.0.9.tar.gz
(34.6 kB
view hashes)
Built Distribution
Close
Hashes for pytorchcv-0.0.9-py2.py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 7bc27c46ddb713bd260401cf32167f49cb7c7161402f628db5602e864b3c1a72 |
|
MD5 | 9499673223f7961a873fe222decc0b87 |
|
BLAKE2b-256 | 3ab07994835f716862a1d87845c847a987b1e930e37553c06ce25bf30d547dfe |