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-0.0.5.tar.gz
(33.9 kB
view details)
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file pytorchcv-0.0.5.tar.gz.
File metadata
- Download URL: pytorchcv-0.0.5.tar.gz
- Upload date:
- Size: 33.9 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/1.11.0 pkginfo/1.4.2 requests/2.18.4 setuptools/40.2.0 requests-toolbelt/0.8.0 tqdm/4.23.4 CPython/3.6.5
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
435da16f865dc4fd746acce64f80c49db67b948970a6359b15d09c7c4105fdf1
|
|
| MD5 |
03f32d8960feac1f1a165282d0bc92c4
|
|
| BLAKE2b-256 |
777bb81102ed60b5c8fe5ae04fd9cf03780a329dc7262800278a4f637c38c620
|
File details
Details for the file pytorchcv-0.0.5-py2.py3-none-any.whl.
File metadata
- Download URL: pytorchcv-0.0.5-py2.py3-none-any.whl
- Upload date:
- Size: 61.9 kB
- Tags: Python 2, Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/1.11.0 pkginfo/1.4.2 requests/2.18.4 setuptools/40.2.0 requests-toolbelt/0.8.0 tqdm/4.23.4 CPython/3.6.5
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
7fb0d6f7104f0f9e7e22ed476998a6553df7c6179b1d4023c773d5d079ea9b1d
|
|
| MD5 |
61b15bc97e0b17716fd2d6c6ed01d381
|
|
| BLAKE2b-256 |
ed64359f56b34f0210e7bcb2a05977e64f2f6b8fe9a861abfcf162e4abbde07e
|
