Skip to main content

rknpu bind with rust

rknpu rust and rustpy

Features

  • High Speed with rust backend

Requirements

pip install rknpu
pip install numpy

Easy to use

from rknpu import Yolov5

# Yolov5 params (model_path, flag, class_num, conf_threshold, nms_threshold, obj_num_max_size)

model = Yolov5(model_p, "PRIOR_HIGH", 2, 0.25, 0.45, 64)
bboxes = model.pyinfer(img640x640)

Metadata

Release files for rknpu 1.5.2

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Built distributions (wheels)

Table of built distributions (wheels) for rknpu 1.5.2
File
rknpu-1.5.2-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl CPython 3.12 CPython 3.12 Linux glibc 2.17+ ARM64 Details
rknpu-1.5.2-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl CPython 3.11 CPython 3.11 Linux glibc 2.17+ ARM64 Details
rknpu-1.5.2-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl CPython 3.10 CPython 3.10 Linux glibc 2.17+ ARM64 Details
rknpu-1.5.2-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl CPython 3.9 CPython 3.9 Linux glibc 2.17+ ARM64 Details
rknpu-1.5.2-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl CPython 3.8 CPython 3.8 Linux glibc 2.17+ ARM64 Details
rknpu-1.5.2-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl CPython 3.7 CPython 3.7 pymalloc Linux glibc 2.17+ ARM64 Details

Total release size: 16.2 MB

Release files / rknpu-1.5.2-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl

Download URL rknpu-1.5.2-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Size 2.7 MB
Tags CPython 3.12 Linux glibc 2.17+ ARM64
SHA-256 checksum
How to use checksums
f676002913858fb0652886f19162e87ab9a84ba1f4c48f5fd3469fba11fd5187
BLAKE2b-256 checksum
How to use checksums
2309f7fc599110db79c154d425e5fb46c732df5c77eeb85bcf68d186aee1f011
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/5.0.0 CPython/3.9.18

Release files / rknpu-1.5.2-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl

Download URL rknpu-1.5.2-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Size 2.7 MB
Tags CPython 3.11 Linux glibc 2.17+ ARM64
SHA-256 checksum
How to use checksums
486e0714f3097ee9301cc01bd24bc89b4364a14f0078c63b92b6bd53ce7f962d
BLAKE2b-256 checksum
How to use checksums
cdfdf28a75c09ebc76486b559b92ceafc435ddcb306c605c0887ad55a77886c2
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/5.0.0 CPython/3.9.18

Release files / rknpu-1.5.2-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl

Download URL rknpu-1.5.2-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Size 2.7 MB
Tags CPython 3.10 Linux glibc 2.17+ ARM64
SHA-256 checksum
How to use checksums
7dc1f803f26cd46f847b4cbf24277ae13cc239f5149e633eeb7493cc119ca5eb
BLAKE2b-256 checksum
How to use checksums
3967f0c67d3b87bd00dd0413452bc72857da861bc92dac7dd0390d723bcc2978
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/5.0.0 CPython/3.9.18

Release files / rknpu-1.5.2-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl

Download URL rknpu-1.5.2-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Size 2.7 MB
Tags CPython 3.9 Linux glibc 2.17+ ARM64
SHA-256 checksum
How to use checksums
10ab6b5dce9f108b2cd393f5335b1c3e32981d0f8da40eceb4630a3b382545e4
BLAKE2b-256 checksum
How to use checksums
7c80226e96228d8e3695f2db6a3ec4de039d8f9450df83fefa6362eb783051da
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/5.0.0 CPython/3.9.18

Release files / rknpu-1.5.2-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl

Download URL rknpu-1.5.2-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Size 2.7 MB
Tags CPython 3.8 Linux glibc 2.17+ ARM64
SHA-256 checksum
How to use checksums
27b6ae4938cee0499c743d4c9332195e50d7e101d3bf0a7ccbc586079be85e0e
BLAKE2b-256 checksum
How to use checksums
d2262c5672ecaf37efe0e620b8de92385befce0de173645163d2e3fabfcc1146
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/5.0.0 CPython/3.9.18

Release files / rknpu-1.5.2-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl

Download URL rknpu-1.5.2-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Size 2.7 MB
Tags CPython 3.7 CPython 3.7 pymalloc Linux glibc 2.17+ ARM64
SHA-256 checksum
How to use checksums
e4711b676e7435bf1a2b286badd1619253d4c642e624798f790c32ce4e634d1d
BLAKE2b-256 checksum
How to use checksums
8ccf18ff71eaa17cc3b5a4de7097d01c0f7ba2be8ed507b749c32f5296f0b28c
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/5.0.0 CPython/3.9.18

Security for rknpu 1.5.2

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

No provenance found

None of the files in this release were uploaded with provenance metadata.

A note on package security

PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.

To learn more about protecting yourself from malicious actors, visit our package security documentation.

Release history Release notifications | RSS feed

This release

1.5.2 This release

6 release files No provenance

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page