This repository is intended to offer some common augmentataion functions in computer vision task base on opencv. The functions’ prototype comes from FAIR’s maskrcnn-benchmark. I tried my best to implement these functions strictly follow the details of torchvision and pillow. Any discussions are welcomed.
1 maintainer
Metadata
1 maintainer
Release files for cvtorch 0.0.9
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| cvtorch-0.0.9.tar.gz | 6.6 kB | Details |
Release files / cvtorch-0.0.9.tar.gz
| Download URL | cvtorch-0.0.9.tar.gz |
|---|---|
| Size | 6.6 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
65f59691107d936982f565c8d63f5b5607f8c5416ef79947c2f43c592f3cde6e
|
|
BLAKE2b-256 checksum How to use checksums |
85edc9f3428d5ca0a9e10b11aba18c79de560b056f36b2e9c1d0a494cd7a2288
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/1.13.0 pkginfo/1.5.0.1 requests/2.21.0 setuptools/39.2.0 requests-toolbelt/0.9.1 tqdm/4.28.1 CPython/2.7.12
|
