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)
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 details)
Built Distribution
File details
Details for the file pytorchcv-0.0.9.tar.gz.
File metadata
- Download URL: pytorchcv-0.0.9.tar.gz
- Upload date:
- Size: 34.6 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/1.12.1 pkginfo/1.4.2 requests/2.18.4 setuptools/39.1.0 requests-toolbelt/0.8.0 tqdm/4.23.4 CPython/3.6.5
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 5fce21f00d357a5d6b5231007b5b8e6280448fd0b7e8372fa354b9058a4e71e7 |
|
| MD5 | 51094122c74e3dd30317bc5e385c352b |
|
| BLAKE2b-256 | 8867a43a0b4389f2dce40ec399fab209511d44262e86b9117ff68ead225225d6 |
File details
Details for the file pytorchcv-0.0.9-py2.py3-none-any.whl.
File metadata
- Download URL: pytorchcv-0.0.9-py2.py3-none-any.whl
- Upload date:
- Size: 63.4 kB
- Tags: Python 2, Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/1.12.1 pkginfo/1.4.2 requests/2.18.4 setuptools/39.1.0 requests-toolbelt/0.8.0 tqdm/4.23.4 CPython/3.6.5
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 7bc27c46ddb713bd260401cf32167f49cb7c7161402f628db5602e864b3c1a72 |
|
| MD5 | 9499673223f7961a873fe222decc0b87 |
|
| BLAKE2b-256 | 3ab07994835f716862a1d87845c847a987b1e930e37553c06ce25bf30d547dfe |
