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-0.0.15.tar.gz
(49.2 kB
view hashes)
Built Distribution
Close
Hashes for pytorchcv-0.0.15-py2.py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | f8555c5dcb8f974a5dc8eb66843bf04d1e62b6a0756c3a7bb21db0fb1ed5cb9e |
|
MD5 | 950ca55c02ed5e78d2727322cb59a6f8 |
|
BLAKE2b-256 | 3779dca6be6982389f67bed0d9ff21c676f97212d7ab044084ca7feb94a107c7 |